{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,26]],"date-time":"2026-09-26T19:01:43Z","timestamp":1790449303736,"version":"4.1.0"},"reference-count":176,"publisher":"Springer Science and Business Media LLC","issue":"6","license":[{"start":{"date-parts":[[2025,5,12]],"date-time":"2025-05-12T00:00:00Z","timestamp":1747008000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0"},{"start":{"date-parts":[[2025,5,12]],"date-time":"2025-05-12T00:00:00Z","timestamp":1747008000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0"}],"funder":[{"DOI":"10.13039\/100010414","name":"Health Research Board","doi-asserted-by":"publisher","award":["JPND-Cofund-2-2019-1"],"award-info":[{"award-number":["JPND-Cofund-2-2019-1"]}],"id":[{"id":"10.13039\/100010414","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100010414","name":"Health Research Board","doi-asserted-by":"publisher","award":["HRB EIA-2017-019"],"award-info":[{"award-number":["HRB EIA-2017-019"]}],"id":[{"id":"10.13039\/100010414","id-type":"DOI","asserted-by":"publisher"}]},{"name":"University of Dublin, Trinity College"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["J Neurol"],"published-print":{"date-parts":[[2025,6]]},"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:p>Neuroimaging in ALS has contributed considerable academic insights in recent years demonstrating genotype-specific topological changes decades before phenoconversion and characterising longitudinal propagation patterns in specific phenotypes. It has elucidated the radiological underpinnings of specific clinical phenomena such as pseudobulbar affect, apathy, behavioural change, spasticity, and language deficits. Academic concepts such as sexual dimorphism, motor reserve, cognitive reserve, adaptive changes, connectivity-based propagation, pathological stages, and compensatory mechanisms have also been evaluated by imaging. The underpinnings of extra-motor manifestations such as cerebellar, sensory, extrapyramidal and cognitive symptoms have been studied by purpose-designed imaging protocols. Clustering approaches have been implemented to uncover radiologically distinct disease subtypes and machine-learning models have been piloted to accurately classify individual patients into relevant diagnostic, phenotypic, and prognostic categories. Prediction models have been developed for survival in symptomatic patients and phenoconversion in asymptomatic mutation carriers. A range of novel imaging modalities have been implemented and 7 Tesla MRI platforms are increasingly being used in ALS studies. Non-ALS MND conditions, such as PLS, SBMA, and SMA, are now also being increasingly studied by quantitative neuroimaging approaches. A unifying theme of recent imaging papers is the departure from describing focal brain changes to focusing on dynamic structural and functional connectivity alterations. Progressive cortico-cortical, cortico-basal, cortico-cerebellar, cortico-bulbar, and cortico-spinal disconnection has been consistently demonstrated by recent studies and recognised as the primary driver of clinical decline. These studies have led the reconceptualisation of ALS as a \u201cnetwork\u201d or \u201ccircuitry disease\u201d.<\/jats:p>","DOI":"10.1007\/s00415-025-13143-8","type":"journal-article","created":{"date-parts":[[2025,5,12]],"date-time":"2025-05-12T05:23:50Z","timestamp":1747027430000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":9,"title":["New developments in imaging in ALS"],"prefix":"10.1007","volume":"272","author":[{"given":"Jana","family":"Kleinerova","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Giorgia","family":"Querin","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Pierre-Francois","family":"Pradat","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"We Fong","family":"Siah","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Peter","family":"Bede","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2025,5,12]]},"reference":[{"key":"13143_CR1","doi-asserted-by":"publisher","first-page":"1732","DOI":"10.1212\/WNL.0b013e31826e9b1d","volume":"79","author":"M Benatar","year":"2012","unstructured":"Benatar M, Wuu J (2012) Presymptomatic studies in ALS: rationale, challenges, and approach. Neurology 79:1732\u20131739","journal-title":"Neurology"},{"key":"13143_CR2","doi-asserted-by":"publisher","first-page":"4607","DOI":"10.1007\/s00415-020-10289-5","volume":"268","author":"RH Chipika","year":"2021","unstructured":"Chipika RH, Siah WF, McKenna MC, Li Hi Shing S, Hardiman O, Bede P (2021) The presymptomatic phase of amyotrophic lateral sclerosis: are we merely scratching the surface? J Neurol 268:4607\u20134629","journal-title":"J Neurol"},{"key":"13143_CR3","doi-asserted-by":"publisher","first-page":"1848","DOI":"10.1007\/s00415-012-6420-y","volume":"259","author":"J Prudlo","year":"2012","unstructured":"Prudlo J, Bi\u00dfbort C, Glass A, Grossmann A, Hauenstein K, Benecke R, Teipel SJ (2012) White matter pathology in ALS and lower motor neuron ALS variants: a diffusion tensor imaging study using tract-based spatial statistics. J Neurol 259:1848\u20131859","journal-title":"J Neurol"},{"key":"13143_CR4","doi-asserted-by":"publisher","first-page":"1361","DOI":"10.1111\/ene.13038","volume":"23","author":"C Schuster","year":"2016","unstructured":"Schuster C, Elamin M, Hardiman O, Bede P (2016) The segmental diffusivity profile of amyotrophic lateral sclerosis associated white matter degeneration. Eur J Neurol 23:1361\u20131371","journal-title":"Eur J Neurol"},{"key":"13143_CR5","doi-asserted-by":"publisher","first-page":"1645","DOI":"10.1212\/WNL.0b013e3181fb84d1","volume":"75","author":"N Filippini","year":"2010","unstructured":"Filippini N, Douaud G, Mackay CE, Knight S, Talbot K, Turner MR (2010) Corpus callosum involvement is a consistent feature of amyotrophic lateral sclerosis. Neurology 75:1645\u20131652","journal-title":"Neurology"},{"key":"13143_CR6","doi-asserted-by":"publisher","DOI":"10.1016\/j.nicl.2019.102054","volume":"24","author":"P Bede","year":"2019","unstructured":"Bede P, Chipika RH, Finegan E, Li Hi Shing S, Doherty MA, Hengeveld JC, Vajda A, Hutchinson S, Donaghy C, McLaughlin RL, Hardiman O (2019) Brainstem pathology in amyotrophic lateral sclerosis and primary lateral sclerosis: a longitudinal neuroimaging study. NeuroImage Clinical 24:102054","journal-title":"NeuroImage Clinical"},{"key":"13143_CR7","doi-asserted-by":"publisher","first-page":"745","DOI":"10.1080\/14737159.2022.2118048","volume":"22","author":"G Mulkerrin","year":"2022","unstructured":"Mulkerrin G, Fran\u00e7a MC Jr, Lope J, Tan EL, Bede P (2022) Neuroimaging in hereditary spastic paraplegias: from qualitative cues to precision biomarkers. Expert Rev Mol Diagn 22:745\u2013760","journal-title":"Expert Rev Mol Diagn"},{"key":"13143_CR8","doi-asserted-by":"publisher","DOI":"10.1016\/j.nicl.2019.102089","volume":"24","author":"E Finegan","year":"2019","unstructured":"Finegan E, Li Hi Shing S, Chipika RH, Doherty MA, Hengeveld JC, Vajda A, Donaghy C, Pender N, McLaughlin RL, Hardiman O, Bede P (2019) Widespread subcortical grey matter degeneration in primary lateral sclerosis: a multimodal imaging study with genetic profiling. NeuroImage Clin 24:102089","journal-title":"NeuroImage Clin"},{"key":"13143_CR9","doi-asserted-by":"publisher","first-page":"18","DOI":"10.1080\/21678421.2020.1837176","volume":"21","author":"EP Pioro","year":"2020","unstructured":"Pioro EP, Turner MR, Bede P (2020) Neuroimaging in primary lateral sclerosis. Amyotroph Later Scler Frontotemp Degener 21:18\u201327","journal-title":"Amyotroph Later Scler Frontotemp Degener"},{"key":"13143_CR10","doi-asserted-by":"publisher","first-page":"523","DOI":"10.3389\/fneur.2018.00523","volume":"9","author":"F Christidi","year":"2018","unstructured":"Christidi F, Karavasilis E, Velonakis G, Ferentinos P, Rentzos M, Kelekis N, Evdokimidis I, Bede P (2018) The clinical and radiological spectrum of hippocampal pathology in amyotrophic lateral sclerosis. Front Neurol 9:523","journal-title":"Front Neurol"},{"key":"13143_CR11","first-page":"S48","volume":"261","author":"EG Spinelli","year":"2014","unstructured":"Spinelli EG, Agosta F, Canu E, Ferraro PM, Riva N, Copetti M, Chi\u00f2 A, Messina S, Iannaccone S, Calvo A, Silani V, Falini A, Comi G, Filippi M (2014) Cognitive changes and white matter tract damage in the motor neuron disease spectrum. J Neurol 261:S48","journal-title":"J Neurol"},{"key":"13143_CR12","doi-asserted-by":"publisher","first-page":"1866","DOI":"10.3174\/ajnr.A2658","volume":"32","author":"L Sarro","year":"2011","unstructured":"Sarro L, Agosta F, Canu E, Riva N, Prelle A, Copetti M, Riccitelli G, Comi G, Filippi M (2011) Cognitive functions and white matter tract damage in amyotrophic lateral sclerosis: a diffusion tensor tractography study. AJNR Am J Neuroradiol 32:1866\u20131872","journal-title":"AJNR Am J Neuroradiol"},{"key":"13143_CR13","doi-asserted-by":"publisher","DOI":"10.1016\/j.jns.2020.117039","volume":"417","author":"RH Chipika","year":"2020","unstructured":"Chipika RH, Christidi F, Finegan E, Li Hi Shing S, McKenna MC, Chang KM, Karavasilis E, Doherty MA, Hengeveld JC, Vajda A, Pender N, Hutchinson S, Donaghy C, McLaughlin RL, Hardiman O, Bede P (2020) Amygdala pathology in amyotrophic lateral sclerosis and primary lateral sclerosis. J Neurol Sci 417:117039","journal-title":"J Neurol Sci"},{"key":"13143_CR14","doi-asserted-by":"publisher","DOI":"10.1016\/j.nicl.2025.103749","volume":"45","author":"HHG Tan","year":"2025","unstructured":"Tan HHG, Nitert AD, van Veenhuijzen K, Dukic S, van Zandvoort MJE, Hendrikse J, van Es MA, Veldink JH, Westeneng HJ, van den Berg LH (2025) Neuroimaging correlates of domain-specific cognitive deficits in amyotrophic lateral sclerosis. NeuroImage Clin 45:103749","journal-title":"NeuroImage Clin"},{"key":"13143_CR15","doi-asserted-by":"publisher","first-page":"1507","DOI":"10.1093\/brain\/awh170","volume":"127","author":"S Abrahams","year":"2004","unstructured":"Abrahams S, Goldstein LH, Simmons A, Brammer M, Williams SCR, Giampietro V, Leigh PN (2004) Word retrieval in amyotrophic lateral sclerosis: a functional magnetic resonance imaging study. Brain J Neurol 127:1507\u20131517","journal-title":"Brain J Neurol"},{"key":"13143_CR16","doi-asserted-by":"publisher","first-page":"3290","DOI":"10.1093\/brain\/awt243","volume":"136","author":"LD Pettit","year":"2013","unstructured":"Pettit LD, Bastin ME, Smith C, Bak TH, Gillingwater TH, Abrahams S (2013) Executive deficits, not processing speed relates to abnormalities in distinct prefrontal tracts in amyotrophic lateral sclerosis. Brain J Neurol 136:3290\u20133304","journal-title":"Brain J Neurol"},{"key":"13143_CR17","doi-asserted-by":"publisher","DOI":"10.3389\/fneur.2021.723450","volume":"12","author":"MC McKenna","year":"2021","unstructured":"McKenna MC, Corcia P, Couratier P, Siah WF, Pradat PF, Bede P (2021) Frontotemporal pathology in motor neuron disease phenotypes: insights from neuroimaging. Front Neurol 12:723450","journal-title":"Front Neurol"},{"key":"13143_CR18","doi-asserted-by":"publisher","DOI":"10.1007\/s00259-013-2667-5","author":"A Cistaro","year":"2014","unstructured":"Cistaro A, Pagani M, Montuschi A, Calvo A, Moglia C, Canosa A, Restagno G, Brunetti M, Traynor BJ, Nobili F, Carrara G, Fania P, Lopiano L, Valentini MC, Chio A (2014) The metabolic signature of C9ORF72-related ALS: FDG PET comparison with nonmutated patients. Eur J Nucl Med Mol Imaging. https:\/\/doi.org\/10.1007\/s00259-013-2667-5","journal-title":"Eur J Nucl Med Mol Imaging"},{"key":"13143_CR19","doi-asserted-by":"publisher","DOI":"10.1007\/s11682-020-00429-w","author":"S Li Hi Shing","year":"2021","unstructured":"Li Hi Shing S, McKenna MC, Siah WF, Chipika RH, Hardiman O, Bede P (2021) The imaging signature of C9orf72 hexanucleotide repeat expansions: implications for clinical trials and therapy development. Brain Imag Behav. https:\/\/doi.org\/10.1007\/s11682-020-00429-w","journal-title":"Brain Imag Behav"},{"key":"13143_CR20","doi-asserted-by":"publisher","first-page":"1354","DOI":"10.1136\/jnnp-2016-313959","volume":"87","author":"HJ Westeneng","year":"2016","unstructured":"Westeneng HJ, Walhout R, Straathof M, Schmidt R, Hendrikse J, Veldink JH, van den Heuvel MP, van den Berg LH (2016) Widespread structural brain involvement in ALS is not limited to the C9orf72 repeat expansion. J Neurol Neurosurg Psychiatry 87:1354\u20131360","journal-title":"J Neurol Neurosurg Psychiatry"},{"key":"13143_CR21","doi-asserted-by":"publisher","DOI":"10.1016\/j.nicl.2020.102300","volume":"27","author":"RH Chipika","year":"2020","unstructured":"Chipika RH, Finegan E, Li Hi Shing S, McKenna MC, Christidi F, Chang KM, Doherty MA, Hengeveld JC, Vajda A, Pender N, Hutchinson S, Donaghy C, McLaughlin RL, Hardiman O, Bede P (2020) \u201cSwitchboard\u201d malfunction in motor neuron diseases: selective pathology of thalamic nuclei in amyotrophic lateral sclerosis and primary lateral sclerosis. NeuroImage Clin 27:102300","journal-title":"NeuroImage Clin"},{"key":"13143_CR22","first-page":"504","volume":"13","author":"F Christidi","year":"2024","unstructured":"Christidi F, Kleinerova J, Tan EL, Delaney S, Tacheva A, Hengeveld JC, Doherty MA, McLaughlin RL, Hardiman O, Siah WF, Chang KM, Lope J, Bede P (2024) Limbic network and papez circuit involvement in ALS: imaging and clinical profiles in GGGGCC hexanucleotide carriers in C9orf72 and C9orf72-negative patients. Biology (Basel) 13:504","journal-title":"Biology (Basel)"},{"key":"13143_CR23","doi-asserted-by":"publisher","first-page":"489","DOI":"10.1016\/j.brainresbull.2006.01.013","volume":"69","author":"A Tessitore","year":"2006","unstructured":"Tessitore A, Esposito F, Monsurro MR, Graziano S, Panza D, Russo A, Migliaccio R, Conforti FL, Morrone R, Quattrone A, Di Salle F, Tedeschi G (2006) Subcortical motor plasticity in patients with sporadic ALS: An fMRI study. Brain Res Bull 69:489\u2013494","journal-title":"Brain Res Bull"},{"key":"13143_CR24","doi-asserted-by":"publisher","first-page":"2126","DOI":"10.1007\/s11682-020-00408-1","volume":"15","author":"F Trojsi","year":"2021","unstructured":"Trojsi F, Di Nardo F, Caiazzo G, Siciliano M, D\u2019Alvano G, Ferrantino T, Passaniti C, Ricciardi D, Esposito S, Lavorgna L, Russo A, Bonavita S, Cirillo M, Santangelo G, Esposito F, Tedeschi G (2021) Hippocampal connectivity in amyotrophic lateral sclerosis (ALS): more than Papez circuit impairment. Brain Imag Behav 15:2126\u20132138","journal-title":"Brain Imag Behav"},{"key":"13143_CR25","doi-asserted-by":"publisher","first-page":"507","DOI":"10.3109\/21678421.2013.812661","volume":"14","author":"T Prell","year":"2013","unstructured":"Prell T, Grosskreutz J (2013) The involvement of the cerebellum in amyotrophic lateral sclerosis. Amyotrop Later Scler Frontotemp Degener 14:507\u2013515","journal-title":"Amyotrop Later Scler Frontotemp Degener"},{"key":"13143_CR26","doi-asserted-by":"publisher","first-page":"1197","DOI":"10.1136\/jnnp-2021-326854","volume":"92","author":"P Bede","year":"2021","unstructured":"Bede P, Chipika RH, Christidi F, Hengeveld JC, Karavasilis E, Argyropoulos GD, Lope J, Li Hi Shing S, Velonakis G, Dupuis L, Doherty MA, Vajda A, McLaughlin RL, Hardiman O (2021) Genotype-associated cerebellar profiles in ALS: focal cerebellar pathology and cerebro-cerebellar connectivity alterations. J Neurol Neurosurg Psychiatry 92:1197\u20131205","journal-title":"J Neurol Neurosurg Psychiatry"},{"key":"13143_CR27","doi-asserted-by":"publisher","first-page":"2335","DOI":"10.4103\/1673-5374.336139","volume":"17","author":"RH Chipika","year":"2022","unstructured":"Chipika RH, Mulkerrin G, Pradat PF, Murad A, Ango F, Raoul C, Bede P (2022) Cerebellar pathology in motor neuron disease: neuroplasticity and neurodegeneration. Neural Regen Res 17:2335\u20132341","journal-title":"Neural Regen Res"},{"key":"13143_CR28","doi-asserted-by":"publisher","first-page":"4687","DOI":"10.1007\/s00415-021-10575-w","volume":"268","author":"MC McKenna","year":"2021","unstructured":"McKenna MC, Chipika RH, Li Hi Shing S, Christidi F, Lope J, Doherty MA, Hengeveld JC, Vajda A, McLaughlin RL, Hardiman O, Hutchinson S, Bede P (2021) Infratentorial pathology in frontotemporal dementia: cerebellar grey and white matter alterations in FTD phenotypes. J Neurol 268:4687\u20134697","journal-title":"J Neurol"},{"key":"13143_CR29","doi-asserted-by":"publisher","first-page":"106","DOI":"10.3389\/fneur.2019.00106","volume":"10","author":"Y Yunusova","year":"2019","unstructured":"Yunusova Y, Plowman EK, Green JR, Barnett C, Bede P (2019) Clinical measures of bulbar dysfunction in ALS. Front Neurol 10:106","journal-title":"Front Neurol"},{"key":"13143_CR30","doi-asserted-by":"publisher","first-page":"833","DOI":"10.1007\/s12311-020-01155-1","volume":"19","author":"F Van Overwalle","year":"2020","unstructured":"Van Overwalle F, Manto M, Cattaneo Z, Clausi S, Ferrari C, Gabrieli JDE, Guell X, Heleven E, Lupo M, Ma Q, Michelutti M, Olivito G, Pu M, Rice LC, Schmahmann JD, Siciliano L, Sokolov AA, Stoodley CJ, van Dun K, Vandervert L, Leggio M (2020) Consensus paper: cerebellum and social cognition. The Cerebellum 19:833\u2013868","journal-title":"The Cerebellum"},{"key":"13143_CR31","doi-asserted-by":"crossref","unstructured":"Chang J, Shaw TB, McCombe PA, Henderson RD, Lucia D, Guo CC, Lv J, Garner K, Bollmann S, Ngo ST, Steyn FJ (2025) Appetite loss in patients with motor neuron disease: impact on weight loss and neural correlates of visual food cues. Brain Commun 7:fcaf111","DOI":"10.1093\/braincomms\/fcaf111"},{"key":"13143_CR32","doi-asserted-by":"publisher","DOI":"10.1212\/WNL.0000000000209623","volume":"103","author":"M Tahedl","year":"2024","unstructured":"Tahedl M, Tan EL, Kleinerova J, Delaney S, Hengeveld JC, Doherty MA, McLaughlin RL, Pradat PF, Raoul C, Ango F, Hardiman O, Chang KM, Lope J, Bede P (2024) Progressive cerebrocerebellar uncoupling in sporadic and genetic forms of amyotrophic lateral sclerosis. Neurology 103:e209623","journal-title":"Neurology"},{"key":"13143_CR33","doi-asserted-by":"crossref","unstructured":"Tahedl M, Kleinerova J, Doherty MA, Hengeveld JC, McLaughlin RL, Hardiman O, Tan EL, Bede P (2025) Progressive thalamo-cortical disconnection in amyotrophic lateral sclerosis genotypes: structural degeneration and network dysfunction of thalamus-relayed circuits. Eur J Neurol In Press","DOI":"10.1111\/ene.70146"},{"key":"13143_CR34","doi-asserted-by":"publisher","first-page":"1005","DOI":"10.3389\/fneur.2018.01005","volume":"9","author":"F Christidi","year":"2018","unstructured":"Christidi F, Karavasilis E, Rentzos M, Kelekis N, Evdokimidis I, Bede P (2018) Clinical and radiological markers of extra-motor deficits in amyotrophic lateral sclerosis. Front Neurol 9:1005","journal-title":"Front Neurol"},{"key":"13143_CR35","doi-asserted-by":"publisher","first-page":"2125","DOI":"10.1007\/s00415-018-8964-y","volume":"265","author":"M Feron","year":"2018","unstructured":"Feron M, Couillandre A, Mseddi E, Termoz N, Abidi M, Bardinet E, Delgadillo D, Lenglet T, Querin G, Welter ML, Le Forestier N, Salachas F, Bruneteau G, Del Mar AM, Debs R, Lacomblez L, Meininger V, Pelegrini-Issac M, Bede P, Pradat PF, de Marco G (2018) Extrapyramidal deficits in ALS: a combined biomechanical and neuroimaging study. J Neurol 265:2125\u20132136","journal-title":"J Neurol"},{"key":"13143_CR36","doi-asserted-by":"publisher","first-page":"223","DOI":"10.1002\/jmri.27335","volume":"53","author":"M Abidi","year":"2021","unstructured":"Abidi M, de Marco G, Grami F, Termoz N, Couillandre A, Querin G, Bede P, Pradat PF (2021) Neural correlates of motor imagery of gait in amyotrophic lateral sclerosis. J Magn Reson Imag 53:223\u2013233","journal-title":"J Magn Reson Imag"},{"key":"13143_CR37","doi-asserted-by":"publisher","first-page":"468","DOI":"10.1136\/jnnp-2014-308172","volume":"86","author":"P Bede","year":"2015","unstructured":"Bede P, Elamin M, Byrne S, McLaughlin RL, Kenna K, Vajda A, Fagan A, Bradley DG, Hardiman O (2015) Patterns of cerebral and cerebellar white matter degeneration in ALS. J Neurol Neurosurg Psychiatry 86:468\u2013470","journal-title":"J Neurol Neurosurg Psychiatry"},{"key":"13143_CR38","doi-asserted-by":"publisher","first-page":"88","DOI":"10.31083\/j.jin2103088","volume":"21","author":"RH Chipika","year":"2022","unstructured":"Chipika RH, Mulkerrin G, Murad A, Lope J, Hardiman O, Bede P (2022) Alterations in somatosensory, visual and auditory pathways in amyotrophic lateral sclerosis: an under-recognised facet of ALS. J Integr Neurosci 21:88","journal-title":"J Integr Neurosci"},{"key":"13143_CR39","doi-asserted-by":"crossref","unstructured":"Kleinerova J, Chipika RH, Tan EL, Yunusova Y, Marchand-Pauvert V, Kassubek J, Pradat PF, Bede P (2025) Sensory dysfunction in ALS and other motor neuron diseases: clinical relevance, histopathology, neurophysiology, and insights from neuroimaging. Biomedicines 13","DOI":"10.3390\/biomedicines13030559"},{"key":"13143_CR40","doi-asserted-by":"publisher","first-page":"77","DOI":"10.1007\/s11682-022-00744-4","volume":"17","author":"F Trojsi","year":"2023","unstructured":"Trojsi F, Di Nardo F, D\u2019Alvano G, Caiazzo G, Passaniti C, Mangione A, Sharbafshaaer M, Russo A, Silvestro M, Siciliano M, Cirillo M, Tedeschi G, Esposito F (2023) Resting state fMRI analysis of pseudobulbar affect in Amyotrophic lateral sclerosis (ALS): motor dysfunction of emotional expression. Brain Imag Behav 17:77\u201389","journal-title":"Brain Imag Behav"},{"key":"13143_CR41","doi-asserted-by":"publisher","DOI":"10.1016\/j.jns.2023.120726","volume":"451","author":"M Tahedl","year":"2023","unstructured":"Tahedl M, Tan EL, Siah WF, Hengeveld JC, Doherty MA, McLaughlin RL, Hardiman O, Finegan E, Bede P (2023) Radiological correlates of pseudobulbar affect: corticobulbar and cerebellar components in primary lateral sclerosis. J Neurol Sci 451:120726","journal-title":"J Neurol Sci"},{"key":"13143_CR42","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0164655","volume":"11","author":"HE Aho-Ozhan","year":"2016","unstructured":"Aho-Ozhan HE, Keller J, Heimrath J, Uttner I, Kassubek J, Birbaumer N, Ludolph AC, Lule D (2016) Perception of emotional facial expressions in Amyotrophic lateral sclerosis (ALS) at behavioural and brain metabolic level. PLoS One 11:e0164655","journal-title":"PLoS One"},{"key":"13143_CR43","doi-asserted-by":"publisher","first-page":"467","DOI":"10.1080\/21678421.2016.1177088","volume":"17","author":"T Burke","year":"2016","unstructured":"Burke T, Elamin M, Bede P, Pinto-Grau M, Lonergan K, Hardiman O, Pender N (2016) Discordant performance on the \u2018Reading the Mind in the Eyes\u2019 Test, based on disease onset in amyotrophic lateral sclerosis. Amyotrop Later Scler Frontotemp Degener 17:467\u2013472","journal-title":"Amyotrop Later Scler Frontotemp Degener"},{"key":"13143_CR44","doi-asserted-by":"publisher","first-page":"663","DOI":"10.1136\/jnnp-2015-310772","volume":"87","author":"R Radakovic","year":"2016","unstructured":"Radakovic R, Stephenson L, Colville S, Swingler R, Chandran S, Abrahams S (2016) Multidimensional apathy in ALS: validation of the dimensional apathy scale. J Neurol Neurosurg Psychiatry 87:663\u2013669","journal-title":"J Neurol Neurosurg Psychiatry"},{"key":"13143_CR45","doi-asserted-by":"publisher","first-page":"1033","DOI":"10.1136\/jnnp-2017-315795","volume":"88","author":"M Gorges","year":"2017","unstructured":"Gorges M, Vercruysse P, Muller HP, Huppertz HJ, Rosenbohm A, Nagel G, Weydt P, Petersen A, Ludolph AC, Kassubek J, Dupuis L (2017) Hypothalamic atrophy is related to body mass index and age at onset in amyotrophic lateral sclerosis. J Neurol Neurosurg Psychiatry 88:1033\u20131041","journal-title":"J Neurol Neurosurg Psychiatry"},{"key":"13143_CR46","doi-asserted-by":"publisher","first-page":"57","DOI":"10.1111\/ene.15589","volume":"30","author":"J Chang","year":"2023","unstructured":"Chang J, Shaw TB, Holdom CJ, McCombe PA, Henderson RD, Fripp J, Barth M, Guo CC, Ngo ST, Steyn FJ (2023) Lower hypothalamic volume with lower body mass index is associated with shorter survival in patients with amyotrophic lateral sclerosis. Eur J Neurol 30:57\u201368","journal-title":"Eur J Neurol"},{"key":"13143_CR47","doi-asserted-by":"publisher","DOI":"10.1212\/WNL.0000000000209603","volume":"103","author":"A Michielsen","year":"2024","unstructured":"Michielsen A, van Veenhuijzen K, Janse van Mantgem MR, van Es MA, Veldink JH, van Eijk RPA, van den Berg LH, Westeneng HJ (2024) Association between hypothalamic volume and metabolism, cognition, and behavior in patients with amyotrophic lateral sclerosis. Neurology 103:e209603","journal-title":"Neurology"},{"key":"13143_CR48","doi-asserted-by":"publisher","first-page":"350","DOI":"10.3389\/fneur.2019.00350","volume":"10","author":"MM El Mendili","year":"2019","unstructured":"El Mendili MM, Querin G, Bede P, Pradat PF (2019) Spinal cord imaging in amyotrophic lateral sclerosis: historical concepts-novel techniques. Front Neurol 10:350","journal-title":"Front Neurol"},{"key":"13143_CR49","doi-asserted-by":"publisher","first-page":"407","DOI":"10.3109\/17482968.2011.649760","volume":"13","author":"P Bede","year":"2012","unstructured":"Bede P, Bokde AL, Byrne S, Elamin M, Fagan AJ, Hardiman O (2012) Spinal cord markers in ALS: diagnostic and biomarker considerations. Amyotrop Later Scler 13:407\u2013415","journal-title":"Amyotrop Later Scler"},{"key":"13143_CR50","doi-asserted-by":"publisher","first-page":"158","DOI":"10.1002\/ana.25520","volume":"86","author":"G Querin","year":"2019","unstructured":"Querin G, Bede P, El Mendili MM, Li M, Pelegrini-Issac M, Rinaldi D, Catala M, Saracino D, Salachas F, Camuzat A, Marchand-Pauvert V, Cohen-Adad J, Colliot O, Le Ber I, Pradat PF (2019) Presymptomatic spinal cord pathology in c9orf72 mutation carriers: a longitudinal neuroimaging study. Ann Neurol 86:158\u2013167","journal-title":"Ann Neurol"},{"key":"13143_CR51","doi-asserted-by":"publisher","first-page":"1220","DOI":"10.1136\/jnnp-2017-317214","volume":"89","author":"G Querin","year":"2018","unstructured":"Querin G, El Mendili MM, Bede P, Delphine S, Lenglet T, Marchand-Pauvert V, Pradat PF (2018) Multimodal spinal cord MRI offers accurate diagnostic classification in ALS. J Neurol Neurosurg Psychiatry 89:1220\u20131221","journal-title":"J Neurol Neurosurg Psychiatry"},{"key":"13143_CR52","doi-asserted-by":"publisher","first-page":"30","DOI":"10.3109\/17482968.2012.701308","volume":"14","author":"J Cohen-Adad","year":"2013","unstructured":"Cohen-Adad J, El Mendili MM, Morizot-Koutlidis R, Lehericy S, Meininger V, Blancho S, Rossignol S, Benali H, Pradat PF (2013) Involvement of spinal sensory pathway in ALS and specificity of cord atrophy to lower motor neuron degeneration. Amyotroph Later Scler Frontotemp Degener 14:30\u201338","journal-title":"Amyotroph Later Scler Frontotemp Degener"},{"key":"13143_CR53","doi-asserted-by":"crossref","unstructured":"Jenkins TM, Alix JJP, David C, Pearson E, Rao DG, Hoggard N, O\u2019Brien E, Baster K, Bradburn M, Bigley J, McDermott CJ, Wilkinson ID, Shaw PJ (2017) Imaging muscle as a potential biomarker of denervation in motor neuron disease. J Neurol Neurosurg Psychiatry","DOI":"10.1136\/jnnp-2017-316744"},{"key":"13143_CR54","doi-asserted-by":"publisher","first-page":"414","DOI":"10.3109\/21678421.2013.795597","volume":"14","author":"TM Jenkins","year":"2013","unstructured":"Jenkins TM, Burness C, Connolly DJ, Rao DG, Hoggard N, Mawson S, McDermott CJ, Wilkinson ID, Shaw PJ (2013) A prospective pilot study measuring muscle volumetric change in amyotrophic lateral sclerosis. Amyotroph Later Scler Frontotemp Degener 14:414\u2013423","journal-title":"Amyotroph Later Scler Frontotemp Degener"},{"key":"13143_CR55","doi-asserted-by":"publisher","first-page":"3511","DOI":"10.1007\/s00415-023-11682-6","volume":"270","author":"M Tahedl","year":"2023","unstructured":"Tahedl M, Tan EL, Chipika RH, Hengeveld JC, Vajda A, Doherty MA, McLaughlin RL, Siah WF, Hardiman O, Bede P (2023) Brainstem-cortex disconnection in amyotrophic lateral sclerosis: bulbar impairment, genotype associations, asymptomatic changes and biomarker opportunities. J Neurol 270:3511\u20133526","journal-title":"J Neurol"},{"key":"13143_CR56","doi-asserted-by":"publisher","first-page":"892","DOI":"10.1016\/j.clinph.2015.03.024","volume":"127","author":"S Pinto","year":"2016","unstructured":"Pinto S, Alves P, Pimentel B, Swash M, de Carvalho M (2016) Ultrasound for assessment of diaphragm in ALS. Clin Neurophysiol 127:892\u2013897","journal-title":"Clin Neurophysiol"},{"key":"13143_CR57","doi-asserted-by":"publisher","first-page":"580","DOI":"10.1136\/jnnp-2015-311945","volume":"87","author":"RA Menke","year":"2016","unstructured":"Menke RA, Proudfoot M, Wuu J, Andersen PM, Talbot K, Benatar M, Turner MR (2016) Increased functional connectivity common to symptomatic amyotrophic lateral sclerosis and those at genetic risk. J Neurol Neurosurg Psychiatry 87:580\u2013588","journal-title":"J Neurol Neurosurg Psychiatry"},{"key":"13143_CR58","doi-asserted-by":"publisher","first-page":"121","DOI":"10.1111\/ene.14042","volume":"27","author":"M Abidi","year":"2020","unstructured":"Abidi M, de Marco G, Couillandre A, Feron M, Mseddi E, Termoz N, Querin G, Pradat PF, Bede P (2020) Adaptive functional reorganization in amyotrophic lateral sclerosis: coexisting degenerative and compensatory changes. Eur J Neurol 27:121\u2013128","journal-title":"Eur J Neurol"},{"key":"13143_CR59","doi-asserted-by":"publisher","first-page":"251","DOI":"10.1007\/s00259-011-1979-6","volume":"39","author":"A Cistaro","year":"2012","unstructured":"Cistaro A, Valentini MC, Chio A, Nobili F, Calvo A, Moglia C, Montuschi A, Morbelli S, Salmaso D, Fania P, Carrara G, Pagani M (2012) Brain hypermetabolism in amyotrophic lateral sclerosis: a FDG PET study in ALS of spinal and bulbar onset. Eur J Nucl Med Mol Imag 39:251\u2013259","journal-title":"Eur J Nucl Med Mol Imag"},{"key":"13143_CR60","doi-asserted-by":"publisher","first-page":"289","DOI":"10.1007\/s00415-025-13046-8","volume":"272","author":"J Kleinerova","year":"2025","unstructured":"Kleinerova J, Tahedl M, McKenna MC, Garcia-Gallardo A, Hutchinson S, Hardiman O, Raoul C, Ango F, Schneider B, Pradat PF, Tan EL, Bede P (2025) Cerebellar dysfunction in frontotemporal dementia: intra-cerebellar pathology and cerebellar network degeneration. J Neurol 272:289","journal-title":"J Neurol"},{"key":"13143_CR61","doi-asserted-by":"publisher","first-page":"524","DOI":"10.3109\/21678421.2015.1051989","volume":"16","author":"E Verstraete","year":"2015","unstructured":"Verstraete E, Turner MR, Grosskreutz J, Filippi M, Benatar M (2015) Mind the gap: the mismatch between clinical and imaging metrics in ALS. Amyotroph Later Scler Frontotemp Degener 16:524\u2013529","journal-title":"Amyotroph Later Scler Frontotemp Degener"},{"key":"13143_CR62","doi-asserted-by":"publisher","first-page":"387","DOI":"10.1136\/jnnp-2018-318994","volume":"90","author":"J Wen","year":"2019","unstructured":"Wen J, Zhang H, Alexander DC, Durrleman S, Routier A, Rinaldi D, Houot M, Couratier P, Hannequin D, Pasquier F, Zhang J, Colliot O, Le Ber I, Bertrand A (2019) Neurite density is reduced in the presymptomatic phase of C9orf72 disease. J Neurol Neurosurg Psychiatry 90:387\u2013394","journal-title":"J Neurol Neurosurg Psychiatry"},{"key":"13143_CR63","doi-asserted-by":"publisher","first-page":"236","DOI":"10.1001\/jamaneurol.2017.4266","volume":"75","author":"A Bertrand","year":"2018","unstructured":"Bertrand A, Wen J, Rinaldi D, Houot M, Sayah S, Camuzat A, Fournier C, Fontanella S, Routier A, Couratier P, Pasquier F, Habert MO, Hannequin D, Martinaud O, Caroppo P, Levy R, Dubois B, Brice A, Durrleman S, Colliot O, Le Ber I (2018) Early cognitive, structural, and microstructural changes in presymptomatic C9orf72 carriers younger than 40 years. JAMA Neurol 75:236\u2013245","journal-title":"JAMA Neurol"},{"key":"13143_CR64","doi-asserted-by":"publisher","DOI":"10.1007\/s00415-023-11764-5","author":"P Bede","year":"2023","unstructured":"Bede P, Lul\u00e9 D, M\u00fcller HP, Tan EL, Dorst J, Ludolph AC, Kassubek J (2023) Presymptomatic grey matter alterations in ALS kindreds: a computational neuroimaging study of asymptomatic C9orf72 and SOD1 mutation carriers. J Neurol. https:\/\/doi.org\/10.1007\/s00415-023-11764-5","journal-title":"J Neurol"},{"key":"13143_CR65","doi-asserted-by":"publisher","DOI":"10.1002\/hbm.26536","volume":"45","author":"M Metzger","year":"2024","unstructured":"Metzger M, Dukic S, McMackin R, Giglia E, Mitchell M, Bista S, Costello E, Peelo C, Tadjine Y, Sirenko V, Plaitano S, Coffey A, McManus L, Farnell Sharp A, Mehra P, Heverin M, Bede P, Muthuraman M, Pender N, Hardiman O, Nasseroleslami B (2024) Functional network dynamics revealed by EEG microstates reflect cognitive decline in amyotrophic lateral sclerosis. Hum Brain Mapp 45:e26536","journal-title":"Hum Brain Mapp"},{"key":"13143_CR66","doi-asserted-by":"publisher","first-page":"395","DOI":"10.3389\/fneur.2017.00395","volume":"8","author":"PM Iyer","year":"2017","unstructured":"Iyer PM, Mohr K, Broderick M, Gavin B, Burke T, Bede P, Pinto-Grau M, Pender NP, McLaughlin R, Vajda A, Heverin M, Lalor EC, Hardiman O, Nasseroleslami B (2017) Mismatch negativity as an indicator of cognitive sub-domain dysfunction in amyotrophic lateral sclerosis. Front Neurol 8:395","journal-title":"Front Neurol"},{"key":"13143_CR67","doi-asserted-by":"publisher","first-page":"27","DOI":"10.1093\/cercor\/bhx301","volume":"29","author":"B Nasseroleslami","year":"2019","unstructured":"Nasseroleslami B, Dukic S, Broderick M, Mohr K, Schuster C, Gavin B, McLaughlin R, Heverin M, Vajda A, Iyer PM, Pender N, Bede P, Lalor EC, Hardiman O (2019) Characteristic increases in EEG connectivity correlate with changes of structural MRI in amyotrophic lateral sclerosis. Cereb Cortex 29:27\u201341","journal-title":"Cereb Cortex"},{"key":"13143_CR68","doi-asserted-by":"publisher","first-page":"1148","DOI":"10.3389\/fneur.2018.01148","volume":"9","author":"M Proudfoot","year":"2018","unstructured":"Proudfoot M, Bede P, Turner MR (2018) Imaging cerebral activity in amyotrophic lateral sclerosis. Front Neurol 9:1148","journal-title":"Front Neurol"},{"key":"13143_CR69","doi-asserted-by":"publisher","first-page":"237","DOI":"10.1002\/hbm.23357","volume":"38","author":"M Proudfoot","year":"2017","unstructured":"Proudfoot M, Rohenkohl G, Quinn A, Colclough GL, Wuu J, Talbot K, Woolrich MW, Benatar M, Nobre AC, Turner MR (2017) Altered cortical beta-band oscillations reflect motor system degeneration in amyotrophic lateral sclerosis. Hum Brain Mapp 38:237\u2013254","journal-title":"Hum Brain Mapp"},{"key":"13143_CR70","doi-asserted-by":"publisher","first-page":"1089","DOI":"10.1136\/jnnp-2014-309888","volume":"86","author":"C Schuster","year":"2015","unstructured":"Schuster C, Elamin M, Hardiman O, Bede P (2015) Presymptomatic and longitudinal neuroimaging in neurodegeneration\u2013from snapshots to motion picture: a systematic review. J Neurol Neurosurg Psychiatry 86:1089\u20131096","journal-title":"J Neurol Neurosurg Psychiatry"},{"key":"13143_CR71","doi-asserted-by":"publisher","first-page":"78","DOI":"10.1016\/j.neurobiolaging.2021.04.031","volume":"109","author":"M Tahedl","year":"2021","unstructured":"Tahedl M, Li Hi Shing S, Finegan E, Chipika RH, Lope J, Hardiman O, Bede P (2021) Propagation patterns in motor neuron diseases: Individual and phenotype-associated disease-burden trajectories across the UMN-LMN spectrum of MNDs. Neurobiol Aging 109:78\u201387","journal-title":"Neurobiol Aging"},{"key":"13143_CR72","doi-asserted-by":"publisher","first-page":"2283","DOI":"10.1007\/s11682-020-00421-4","volume":"15","author":"E Finegan","year":"2021","unstructured":"Finegan E, Shing SLH, Chipika RH, Chang KM, McKenna MC, Doherty MA, Hengeveld JC, Vajda A, Pender N, Donaghy C, Hutchinson S, McLaughlin RL, Hardiman O, Bede P (2021) Extra-motor cerebral changes and manifestations in primary lateral sclerosis. Brain Imaging Behav 15:2283\u20132296","journal-title":"Brain Imaging Behav"},{"key":"13143_CR73","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0198116","volume":"13","author":"H Blasco","year":"2018","unstructured":"Blasco H, Patin F, Descat A, Garcon G, Corcia P, Gele P, Lenglet T, Bede P, Meininger V, Devos D, Gossens JF, Pradat PF (2018) A pharmaco-metabolomics approach in a clinical trial of ALS: Identification of predictive markers of progression. PLoS One 13:e0198116","journal-title":"PLoS One"},{"key":"13143_CR74","doi-asserted-by":"publisher","first-page":"2918","DOI":"10.1038\/s41598-019-39739-5","volume":"9","author":"D Devos","year":"2019","unstructured":"Devos D, Moreau C, Kyheng M, Garcon G, Rolland AS, Blasco H, Gele P, Timothee Lenglet T, Veyrat-Durebex C, Corcia P, Dutheil M, Bede P, Jeromin A, Oeckl P, Otto M, Meninger V, Danel-Brunaud V, Devedjian JC, Duce JA, Pradat PF (2019) A ferroptosis-based panel of prognostic biomarkers for amyotrophic lateral sclerosis. Sci Rep 9:2918","journal-title":"Sci Rep"},{"key":"13143_CR75","doi-asserted-by":"publisher","first-page":"1008","DOI":"10.1001\/jamaneurol.2020.1087","volume":"77","author":"J De Vocht","year":"2020","unstructured":"De Vocht J, Blommaert J, Devrome M, Radwan A, Van Weehaeghe D, De Schaepdryver M, Ceccarini J, Rezaei A, Schramm G, van Aalst J, Chi\u00f2 A, Pagani M, Stam D, Van Esch H, Lamaire N, Verhaegen M, Mertens N, Poesen K, van den Berg LH, van Es MA, Vandenberghe R, Vandenbulcke M, Van den Stock J, Koole M, Dupont P, Van Laere K, Van Damme P (2020) Use of multimodal imaging and clinical biomarkers in presymptomatic carriers of C9orf72 repeat expansion. JAMA Neurol 77:1008\u20131017","journal-title":"JAMA Neurol"},{"key":"13143_CR76","doi-asserted-by":"publisher","first-page":"1069","DOI":"10.1002\/acn3.51601","volume":"9","author":"A Behler","year":"2022","unstructured":"Behler A, M\u00fcller HP, Del Tredici K, Braak H, Ludolph AC, Lul\u00e9 D, Kassubek J (2022) Multimodal in vivo staging in amyotrophic lateral sclerosis using artificial intelligence. Annals Clin Trans Neurol 9:1069\u20131079","journal-title":"Annals Clin Trans Neurol"},{"key":"13143_CR77","doi-asserted-by":"publisher","first-page":"649","DOI":"10.1016\/j.pneurobio.2011.08.011","volume":"95","author":"F Geser","year":"2011","unstructured":"Geser F, Prvulovic D, O\u2019Dwyer L, Hardiman O, Bede P, Bokde AL, Trojanowski JQ, Hampel H (2011) On the development of markers for pathological TDP-43 in amyotrophic lateral sclerosis with and without dementia. Prog Neurobiol 95:649\u2013662","journal-title":"Prog Neurobiol"},{"key":"13143_CR78","doi-asserted-by":"publisher","first-page":"457","DOI":"10.1080\/21678421.2019.1639195","volume":"20","author":"P Bede","year":"2019","unstructured":"Bede P (2019) The histological correlates of imaging metrics: postmortem validation of in vivo findings. Amyotroph Later Scler Frontotemp Degener 20:457\u2013460","journal-title":"Amyotroph Later Scler Frontotemp Degener"},{"key":"13143_CR79","doi-asserted-by":"publisher","first-page":"11","DOI":"10.1186\/s12868-018-0416-1","volume":"19","author":"M Pallebage-Gamarallage","year":"2018","unstructured":"Pallebage-Gamarallage M, Foxley S, Menke RAL, Huszar IN, Jenkinson M, Tendler BC, Wang C, Jbabdi S, Turner MR, Miller KL, Ansorge O (2018) Dissecting the pathobiology of altered MRI signal in amyotrophic lateral sclerosis: a post mortem whole brain sampling strategy for the integration of ultra-high-field MRI and quantitative neuropathology. BMC Neurosci 19:11","journal-title":"BMC Neurosci"},{"key":"13143_CR80","doi-asserted-by":"publisher","DOI":"10.1016\/j.neuroimage.2022.119726","volume":"264","author":"DZL Kor","year":"2022","unstructured":"Kor DZL, Jbabdi S, Huszar IN, Mollink J, Tendler BC, Foxley S, Wang C, Scott C, Smart A, Ansorge O, Pallebage-Gamarallage M, Miller KL, Howard AFD (2022) An automated pipeline for extracting histological stain area fraction for voxelwise quantitative MRI-histology comparisons. Neuroimage 264:119726","journal-title":"Neuroimage"},{"key":"13143_CR81","doi-asserted-by":"publisher","DOI":"10.1016\/j.neuroimage.2020.117216","volume":"222","author":"C Wang","year":"2020","unstructured":"Wang C, Foxley S, Ansorge O, Bangerter-Christensen S, Chiew M, Leonte A, Menke RA, Mollink J, Pallebage-Gamarallage M, Turner MR, Miller KL, Tendler BC (2020) Methods for quantitative susceptibility and R2* mapping in whole post-mortem brains at 7T applied to amyotrophic lateral sclerosis. Neuroimage 222:117216","journal-title":"Neuroimage"},{"key":"13143_CR82","doi-asserted-by":"publisher","first-page":"200","DOI":"10.1016\/j.nicl.2017.04.024","volume":"15","author":"AM Cardenas","year":"2017","unstructured":"Cardenas AM, Sarlls JE, Kwan JY, Bageac D, Gala ZS, Danielian LE, Ray-Chaudhury A, Wang HW, Miller KL, Foxley S, Jbabdi S, Welsh RC, Floeter MK (2017) Pathology of callosal damage in ALS: An ex-vivo, 7 T diffusion tensor MRI study. NeuroImage Clinical 15:200\u2013208","journal-title":"NeuroImage Clinical"},{"issue":"Suppl 1","key":"13143_CR83","doi-asserted-by":"publisher","first-page":"S49","DOI":"10.1016\/S0022-510X(97)00244-X","volume":"152","author":"EP Pioro","year":"1997","unstructured":"Pioro EP (1997) MR spectroscopy in amyotrophic lateral sclerosis\/motor neuron disease. J Neurol Sci 152(Suppl 1):S49\u2013S53","journal-title":"J Neurol Sci"},{"key":"13143_CR84","doi-asserted-by":"publisher","first-page":"1757","DOI":"10.1097\/00001756-199806010-00016","volume":"9","author":"S Kalra","year":"1998","unstructured":"Kalra S, Cashman NR, Genge A, Arnold DL (1998) Recovery of N-acetylaspartate in corticomotor neurons of patients with ALS after riluzole therapy. NeuroReport 9:1757\u20131761","journal-title":"NeuroReport"},{"key":"13143_CR85","doi-asserted-by":"publisher","first-page":"87","DOI":"10.31083\/j.jin2103087","volume":"21","author":"F Christidi","year":"2022","unstructured":"Christidi F, Karavasilis E, Argyropoulos GD, Velonakis G, Zouvelou V, Murad A, Evdokimidis I, Rentzos M, Seimenis I, Bede P (2022) Neurometabolic alterations in motor neuron disease: insights from magnetic resonance spectroscopy. J Integr Neurosci 21:87","journal-title":"J Integr Neurosci"},{"key":"13143_CR86","doi-asserted-by":"crossref","unstructured":"Christidi F, Argyropoulos GD, Karavasilis E, Velonakis G, Zouvelou V, Kourtesis P, Pantoleon V, Tan EL, Daponte A, Aristeidou S, Xirou S, Ferentinos P, Evdokimidis I, Rentzos M, Seimenis I, Bede P (2023) Hippocampal metabolic alterations in amyotrophic lateral sclerosis: a magnetic resonance spectroscopy study. Life (Basel, Switzerland) 13","DOI":"10.3390\/life13020571"},{"key":"13143_CR87","doi-asserted-by":"publisher","first-page":"1144","DOI":"10.1001\/archneur.63.8.1144","volume":"63","author":"S Kalra","year":"2006","unstructured":"Kalra S, Hanstock CC, Martin WR, Allen PS, Johnston WS (2006) Detection of cerebral degeneration in amyotrophic lateral sclerosis using high-field magnetic resonance spectroscopy. Arch Neurol 63:1144\u20131148","journal-title":"Arch Neurol"},{"key":"13143_CR88","doi-asserted-by":"publisher","first-page":"1270","DOI":"10.1002\/nbm.1687","volume":"24","author":"KR Sharma","year":"2011","unstructured":"Sharma KR, Saigal G, Maudsley AA, Govind V (2011) 1H MRS of basal ganglia and thalamus in amyotrophic lateral sclerosis. NMR Biomed 24:1270\u20131276","journal-title":"NMR Biomed"},{"key":"13143_CR89","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0035607","volume":"7","author":"V Govind","year":"2012","unstructured":"Govind V, Sharma KR, Maudsley AA, Arheart KL, Saigal G, Sheriff S (2012) Comprehensive evaluation of corticospinal tract metabolites in amyotrophic lateral sclerosis using whole-brain 1H MR spectroscopy. PLoS One 7:e35607","journal-title":"PLoS One"},{"key":"13143_CR90","doi-asserted-by":"publisher","first-page":"1370","DOI":"10.1212\/WNL.0b013e318231526a","volume":"77","author":"JD Carew","year":"2011","unstructured":"Carew JD, Nair G, Andersen PM, Wuu J, Gronka S, Hu X, Benatar M (2011) Presymptomatic spinal cord neurometabolic findings in SOD1-positive people at risk for familial ALS. Neurology 77:1370\u20131375","journal-title":"Neurology"},{"key":"13143_CR91","doi-asserted-by":"publisher","first-page":"610","DOI":"10.1212\/WNL.0b013e318281ccec","volume":"80","author":"CJ Stagg","year":"2013","unstructured":"Stagg CJ, Knight S, Talbot K, Jenkinson M, Maudsley AA, Turner MR (2013) Whole-brain magnetic resonance spectroscopic imaging measures are related to disability in ALS. Neurology 80:610\u2013615","journal-title":"Neurology"},{"key":"13143_CR92","doi-asserted-by":"publisher","first-page":"1065","DOI":"10.3389\/fneur.2018.01065","volume":"9","author":"AW Barritt","year":"2018","unstructured":"Barritt AW, Gabel MC, Cercignani M, Leigh PN (2018) Emerging magnetic resonance imaging techniques and analysis methods in amyotrophic lateral sclerosis. Front Neurol 9:1065","journal-title":"Front Neurol"},{"key":"13143_CR93","doi-asserted-by":"publisher","DOI":"10.1002\/brb3.3250","author":"M Tahedl","year":"2023","unstructured":"Tahedl M, Tan EL, Chipika RH, Lope J, Hengeveld JC, Doherty MA, McLaughlin RL, Hardiman O, Hutchinson S, McKenna MC, Bede P (2023) The involvement of language-associated networks, tracts, and cortical regions in frontotemporal dementia and amyotrophic lateral sclerosis: Structural and functional alterations. Brain Behav. https:\/\/doi.org\/10.1002\/brb3.3250","journal-title":"Brain Behav"},{"key":"13143_CR94","doi-asserted-by":"publisher","DOI":"10.1016\/j.jns.2021.117584","volume":"428","author":"M Tahedl","year":"2021","unstructured":"Tahedl M, Murad A, Lope J, Hardiman O, Bede P (2021) Evaluation and categorisation of individual patients based on white matter profiles: Single-patient diffusion data interpretation in neurodegeneration. J Neurol Sci 428:117584","journal-title":"J Neurol Sci"},{"key":"13143_CR95","doi-asserted-by":"publisher","first-page":"215","DOI":"10.1016\/j.jns.2017.07.039","volume":"380","author":"F Trojsi","year":"2017","unstructured":"Trojsi F, Caiazzo G, Di Nardo F, Fratello M, Santangelo G, Siciliano M, Femiano C, Russo A, Monsurro MR, Cirillo M, Tedeschi G, Esposito F (2017) High angular resolution diffusion imaging abnormalities in the early stages of amyotrophic lateral sclerosis. J Neurol Sci 380:215\u2013222","journal-title":"J Neurol Sci"},{"key":"13143_CR96","doi-asserted-by":"publisher","first-page":"422","DOI":"10.1148\/radiol.2019182276","volume":"292","author":"AM Grapperon","year":"2019","unstructured":"Grapperon AM, Ridley B, Verschueren A, Maarouf A, Confort-Gouny S, Fortanier E, Schad L, Guye M, Ranjeva JP, Attarian S, Zaaraoui W (2019) Quantitative brain sodium MRI depicts corticospinal impairment in amyotrophic lateral sclerosis. Radiology 292:422\u2013428","journal-title":"Radiology"},{"key":"13143_CR97","doi-asserted-by":"publisher","first-page":"984","DOI":"10.3174\/ajnr.A7559","volume":"43","author":"MM El Mendili","year":"2022","unstructured":"El Mendili MM, Grapperon AM, Dintrich R, Stellmann JP, Ranjeva JP, Guye M, Verschueren A, Attarian S, Zaaraoui W (2022) Alterations of microstructure and sodium homeostasis in fast amyotrophic lateral sclerosis progressors: a brain DTI and sodium MRI study. AJNR Am J Neuroradiol 43:984\u2013990","journal-title":"AJNR Am J Neuroradiol"},{"key":"13143_CR98","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0316916","volume":"20","author":"AM Grapperon","year":"2025","unstructured":"Grapperon AM, El Mendili MM, Maarouf A, Ranjeva JP, Guye M, Verschueren A, Attarian S, Zaaraoui W (2025) In vivo mapping of sodium homeostasis disturbances in individual ALS patients: A brain 23Na MRI study. PLoS One 20:e0316916","journal-title":"PLoS One"},{"key":"13143_CR99","doi-asserted-by":"publisher","DOI":"10.1016\/j.nicl.2022.103037","volume":"35","author":"V Rajagopalan","year":"2022","unstructured":"Rajagopalan V, Pioro EP (2022) Graph theory network analysis provides brain MRI evidence of a partial continuum of neurodegeneration in patients with UMN-predominant ALS and ALS-FTD. NeuroImage Clin 35:103037","journal-title":"NeuroImage Clin"},{"key":"13143_CR100","doi-asserted-by":"publisher","DOI":"10.3389\/fneur.2022.890425","volume":"13","author":"FD Juengling","year":"2022","unstructured":"Juengling FD, Wuest F, Kalra S, Agosta F, Schirrmacher R, Thiel A, Thaiss W, M\u00fcller HP, Kassubek J (2022) Simultaneous PET\/MRI: The future gold standard for characterizing motor neuron disease-A clinico-radiological and neuroscientific perspective. Front Neurol 13:890425","journal-title":"Front Neurol"},{"key":"13143_CR101","doi-asserted-by":"publisher","first-page":"555","DOI":"10.3109\/17482968.2010.513053","volume":"11","author":"E Verstraete","year":"2010","unstructured":"Verstraete E, Biessels GJ, van Den Heuvel MP, Visser F, Luijten PR, van Den Berg LH (2010) No evidence of microbleeds in ALS patients at 7 Tesla MRI. Amyotrop Later Scler 11:555\u2013557","journal-title":"Amyotrop Later Scler"},{"key":"13143_CR102","doi-asserted-by":"publisher","DOI":"10.1016\/j.nicl.2021.102648","volume":"30","author":"RL Barry","year":"2021","unstructured":"Barry RL, Babu S, Anteraper SA, Triantafyllou C, Keil B, Rowe OE, Rangaprakash D, Paganoni S, Lawson R, Dheel C, Cernasov PM, Rosen BR, Ratai EM, Atassi N (2021) Ultra-high field (7T) functional magnetic resonance imaging in amyotrophic lateral sclerosis: a pilot study. NeuroImage Clin 30:102648","journal-title":"NeuroImage Clin"},{"key":"13143_CR103","doi-asserted-by":"publisher","first-page":"195","DOI":"10.1148\/radiol.2018180112","volume":"289","author":"J Acosta-Cabronero","year":"2018","unstructured":"Acosta-Cabronero J, Machts J, Schreiber S, Abdulla S, Kollewe K, Petri S, Spotorno N, Kaufmann J, Heinze HJ, Dengler R, Vielhaber S, Nestor PJ (2018) Quantitative susceptibility MRI to detect brain iron in amyotrophic lateral sclerosis. Radiology 289:195\u2013203","journal-title":"Radiology"},{"key":"13143_CR104","doi-asserted-by":"publisher","first-page":"965","DOI":"10.1016\/j.nicl.2016.04.011","volume":"12","author":"M Costagli","year":"2016","unstructured":"Costagli M, Donatelli G, Biagi L, Caldarazzo Ienco E, Siciliano G, Tosetti M, Cosottini M (2016) Magnetic susceptibility in the deep layers of the primary motor cortex in Amyotrophic Lateral Sclerosis. NeuroImage Clin 12:965\u2013969","journal-title":"NeuroImage Clin"},{"key":"13143_CR105","doi-asserted-by":"publisher","first-page":"1774","DOI":"10.1002\/acn3.51418","volume":"8","author":"A Canna","year":"2021","unstructured":"Canna A, Trojsi F, Di Nardo F, Caiazzo G, Tedeschi G, Cirillo M, Esposito F (2021) Combining structural and metabolic markers in a quantitative MRI study of motor neuron diseases. Annals Clin Trans Neurol 8:1774\u20131785","journal-title":"Annals Clin Trans Neurol"},{"key":"13143_CR106","doi-asserted-by":"publisher","first-page":"2164","DOI":"10.1007\/s11682-022-00686-x","volume":"16","author":"Y Wang","year":"2022","unstructured":"Wang Y, Shen D, Hou B, Sun X, Yang X, Gao J, Liu M, Feng F, Cui L (2022) Brain structural and perfusion changes in amyotrophic lateral sclerosis-frontotemporal dementia patients with cognitive and motor onset: a preliminary study. Brain Imaging Behav 16:2164\u20132174","journal-title":"Brain Imaging Behav"},{"key":"13143_CR107","doi-asserted-by":"publisher","DOI":"10.1016\/j.nicl.2020.102385","volume":"28","author":"K Bharti","year":"2020","unstructured":"Bharti K, Khan M, Beaulieu C, Graham SJ, Briemberg H, Frayne R, Genge A, Korngut L, Zinman L, Kalra S (2020) Involvement of the dentate nucleus in the pathophysiology of amyotrophic lateral sclerosis: a multi-center and multi-modal neuroimaging study. NeuroImage Clin 28:102385","journal-title":"NeuroImage Clin"},{"key":"13143_CR108","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0269154","volume":"17","author":"K Bharti","year":"2022","unstructured":"Bharti K, Graham S, Benatar M, Briemberg H, Chenji S, Dupr\u00e9 N, Dionne A, Frayne R, Genge A, Korngut L, Luk C, Zinman L, Kalra S (2022) Functional alterations in large-scale resting-state networks of amyotrophic lateral sclerosis: a multi-site study across Canada and the United States. PLoS One 17:e0269154","journal-title":"PLoS One"},{"issue":"3","key":"13143_CR109","doi-asserted-by":"publisher","first-page":"193","DOI":"10.1136\/jnnp-2022-329993","volume":"94","author":"A Dey","year":"2022","unstructured":"Dey A, Luk CC, Ishaque A, Ta D, Srivastava O, Krebs D, Seres P, Hanstock C, Beaulieu C, Korngut L, Frayne R, Zinman L, Graham S, Genge A, Briemberg H, Kalra S (2022) Motor cortex functional connectivity is associated with underlying neurochemistry in ALS. J Neurol Neurosurg Psychiatry. 94(3):193\u2013200","journal-title":"J Neurol Neurosurg Psychiatry."},{"key":"13143_CR110","doi-asserted-by":"publisher","first-page":"423","DOI":"10.1016\/S1474-4422(18)30089-9","volume":"17","author":"HJ Westeneng","year":"2018","unstructured":"Westeneng HJ, Debray TPA, Visser AE, van Eijk RPA, Rooney JPK, Calvo A, Martin S, McDermott CJ, Thompson AG, Pinto S, Kobeleva X, Rosenbohm A, Stubendorff B, Sommer H, Middelkoop BM, Dekker AM, van Vugt J, van Rheenen W, Vajda A, Heverin M, Kazoka M, Hollinger H, Gromicho M, K\u00f6rner S, Ringer TM, R\u00f6diger A, Gunkel A, Shaw CE, Bredenoord AL, van Es MA, Corcia P, Couratier P, Weber M, Grosskreutz J, Ludolph AC, Petri S, de Carvalho M, Van Damme P, Talbot K, Turner MR, Shaw PJ, Al-Chalabi A, Chi\u00f2 A, Hardiman O, Moons KGM, Veldink JH, van den Berg LH (2018) Prognosis for patients with amyotrophic lateral sclerosis: development and validation of a personalised prediction model. Lancet Neurol 17:423\u2013433","journal-title":"Lancet Neurol"},{"key":"13143_CR111","doi-asserted-by":"publisher","first-page":"361","DOI":"10.1016\/j.nicl.2016.10.008","volume":"13","author":"HK van der Burgh","year":"2017","unstructured":"van der Burgh HK, Schmidt R, Westeneng HJ, de Reus MA, van den Berg LH, van den Heuvel MP (2017) Deep learning predictions of survival based on MRI in amyotrophic lateral sclerosis. NeuroImage Clin 13:361\u2013369","journal-title":"NeuroImage Clin"},{"key":"13143_CR112","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0167331","volume":"11","author":"C Schuster","year":"2016","unstructured":"Schuster C, Hardiman O, Bede P (2016) Development of an automated mri-based diagnostic protocol for amyotrophic lateral sclerosis using disease-specific pathognomonic features: a quantitative disease-state classification study. PLoS One 11:e0167331","journal-title":"PLoS One"},{"key":"13143_CR113","doi-asserted-by":"publisher","first-page":"13378","DOI":"10.1038\/s41598-020-70125-8","volume":"10","author":"V Grollemund","year":"2020","unstructured":"Grollemund V, Chat GL, Secchi-Buhour MS, Delbot F, Pradat-Peyre JF, Bede P, Pradat PF (2020) Development and validation of a 1-year survival prognosis estimation model for amyotrophic lateral sclerosis using manifold learning algorithm UMAP. Sci Rep 10:13378","journal-title":"Sci Rep"},{"key":"13143_CR114","doi-asserted-by":"publisher","first-page":"825","DOI":"10.1007\/s00415-020-10181-2","volume":"268","author":"V Grollemund","year":"2021","unstructured":"Grollemund V, Le Chat G, Secchi-Buhour MS, Delbot F, Pradat-Peyre JF, Bede P, Pradat PF (2021) Manifold learning for amyotrophic lateral sclerosis functional loss assessment: development and validation of a prognosis model. J Neurol 268:825\u2013850","journal-title":"J Neurol"},{"key":"13143_CR115","doi-asserted-by":"crossref","unstructured":"Behler A, M\u00fcller HP, Ludolph AC, Kassubek J (2023) Diffusion tensor imaging in amyotrophic lateral sclerosis: machine learning for biomarker development. Int J Mol Sci 24(3):1911","DOI":"10.3390\/ijms24031911"},{"key":"13143_CR116","doi-asserted-by":"crossref","unstructured":"Lajoie I, Kalra S, Dadar M (2025) Regional cerebral atrophy contributes to personalized survival prediction in amyotrophic lateral sclerosis: a multicentre, machine learning, deformation-based morphometry study. Annals Neurol","DOI":"10.1101\/2024.10.04.24314899"},{"key":"13143_CR117","doi-asserted-by":"publisher","first-page":"550","DOI":"10.1016\/j.clineuro.2011.11.026","volume":"114","author":"E Cellura","year":"2012","unstructured":"Cellura E, Spataro R, Taiello AC, La Bella V (2012) Factors affecting the diagnostic delay in amyotrophic lateral sclerosis. Clin Neurol Neurosurg 114:550\u2013554","journal-title":"Clin Neurol Neurosurg"},{"key":"13143_CR118","doi-asserted-by":"publisher","first-page":"45","DOI":"10.1016\/j.jns.2006.06.027","volume":"250","author":"S Zoccolella","year":"2006","unstructured":"Zoccolella S, Beghi E, Palagano G, Fraddosio A, Samarelli V, Lamberti P, Lepore V, Serlenga L, Logroscino G (2006) Predictors of delay in the diagnosis and clinical trial entry of amyotrophic lateral sclerosis patients: a population-based study. J Neurol Sci 250:45\u201349","journal-title":"J Neurol Sci"},{"key":"13143_CR119","doi-asserted-by":"publisher","first-page":"310","DOI":"10.3109\/17482960802566824","volume":"10","author":"A Chio","year":"2009","unstructured":"Chio A, Logroscino G, Hardiman O, Swingler R, Mitchell D, Beghi E, Traynor BG (2009) Prognostic factors in ALS: a critical review. Amyotroph Later Scler 10:310\u2013323","journal-title":"Amyotroph Later Scler"},{"key":"13143_CR120","doi-asserted-by":"publisher","first-page":"103","DOI":"10.1016\/j.clineuro.2009.10.014","volume":"112","author":"M Kraemer","year":"2010","unstructured":"Kraemer M, Buerger M, Berlit P (2010) Diagnostic problems and delay of diagnosis in amyotrophic lateral sclerosis. Clin Neurol Neurosurg 112:103\u2013105","journal-title":"Clin Neurol Neurosurg"},{"key":"13143_CR121","doi-asserted-by":"publisher","first-page":"135","DOI":"10.3389\/fnins.2019.00135","volume":"13","author":"V Grollemund","year":"2019","unstructured":"Grollemund V, Pradat PF, Querin G, Delbot F, Le Chat G, Pradat-Peyre JF, Bede P (2019) Machine learning in amyotrophic lateral sclerosis: achievements, pitfalls, and future directions. Front Neurosci 13:135","journal-title":"Front Neurosci"},{"key":"13143_CR122","doi-asserted-by":"publisher","first-page":"653","DOI":"10.1016\/j.nicl.2017.06.010","volume":"15","author":"P Bede","year":"2017","unstructured":"Bede P, Iyer PM, Finegan E, Omer T, Hardiman O (2017) Virtual brain biopsies in amyotrophic lateral sclerosis: Diagnostic classification based on in vivo pathological patterns. NeuroImage Clinical 15:653\u2013658","journal-title":"NeuroImage Clinical"},{"key":"13143_CR123","doi-asserted-by":"publisher","DOI":"10.1007\/s00415-021-10801-5","author":"P Bede","year":"2021","unstructured":"Bede P, Murad A, Hardiman O (2021) Pathological neural networks and artificial neural networks in ALS: diagnostic classification based on pathognomonic neuroimaging features. J Neurol. https:\/\/doi.org\/10.1007\/s00415-021-10801-5","journal-title":"J Neurol"},{"key":"13143_CR124","doi-asserted-by":"publisher","DOI":"10.1016\/j.jns.2021.120079","volume":"432","author":"P Bede","year":"2021","unstructured":"Bede P, Murad A, Lope J, Li Hi Shing S, Finegan E, Chipika RH, Hardiman O, Chang KM (2021) Phenotypic categorisation of individual subjects with motor neuron disease based on radiological disease burden patterns: a machine-learning approach. J Neurol Sci 432:120079","journal-title":"J Neurol Sci"},{"key":"13143_CR125","doi-asserted-by":"publisher","DOI":"10.1016\/j.nicl.2022.103094","volume":"35","author":"A Behler","year":"2022","unstructured":"Behler A, M\u00fcller HP, Ludolph AC, Lul\u00e9 D, Kassubek J (2022) A multivariate Bayesian classification algorithm for cerebral stage prediction by diffusion tensor imaging in amyotrophic lateral sclerosis. NeuroImage Clin 35:103094","journal-title":"NeuroImage Clin"},{"key":"13143_CR126","doi-asserted-by":"publisher","first-page":"251","DOI":"10.3389\/fnhum.2013.00251","volume":"7","author":"RC Welsh","year":"2013","unstructured":"Welsh RC, Jelsone-Swain LM, Foerster BR (2013) The utility of independent component analysis and machine learning in the identification of the amyotrophic lateral sclerosis diseased brain. Front Hum Neurosci 7:251","journal-title":"Front Hum Neurosci"},{"key":"13143_CR127","doi-asserted-by":"publisher","first-page":"73","DOI":"10.1186\/s12883-017-0854-x","volume":"17","author":"C Schuster","year":"2017","unstructured":"Schuster C, Hardiman O, Bede P (2017) Survival prediction in Amyotrophic lateral sclerosis based on MRI measures and clinical characteristics. BMC Neurol 17:73","journal-title":"BMC Neurol"},{"key":"13143_CR128","doi-asserted-by":"publisher","first-page":"281","DOI":"10.1002\/ana.27116","volume":"97","author":"K van Veenhuijzen","year":"2025","unstructured":"van Veenhuijzen K, Tan HHG, Nitert AD, van Es MA, Veldink JH, van den Berg LH, Westeneng HJ (2025) Longitudinal magnetic resonance imaging in asymptomatic C9orf72 mutation carriers distinguishes phenoconverters to amyotrophic lateral sclerosis or amyotrophic lateral sclerosis with frontotemporal dementia. Ann Neurol 97:281\u2013295","journal-title":"Ann Neurol"},{"key":"13143_CR129","doi-asserted-by":"publisher","first-page":"58","DOI":"10.31083\/j.jin2303058","volume":"23","author":"EL Tan","year":"2024","unstructured":"Tan EL, Lope J, Bede P (2024) Harnessing big data in amyotrophic lateral sclerosis: machine learning applications for clinical practice and pharmaceutical trials. J Integr Neurosci 23:58","journal-title":"J Integr Neurosci"},{"key":"13143_CR130","doi-asserted-by":"publisher","DOI":"10.1002\/ana.26488","author":"HHG Tan","year":"2022","unstructured":"Tan HHG, Westeneng HJ, Nitert AD, van Veenhuijzen K, Meier JM, van der Burgh HK, van Zandvoort MJE, van Es MA, Veldink JH, van den Berg LH (2022) MRI clustering reveals three ALS subtypes with unique neurodegeneration patterns. Annals Neurol. https:\/\/doi.org\/10.1002\/ana.26488","journal-title":"Annals Neurol"},{"key":"13143_CR131","doi-asserted-by":"crossref","unstructured":"Bede P, Murad A, Lope J, Hardiman O, Chang KM (2022) Clusters of anatomical disease-burden patterns in ALS: a data-driven approach confirms radiological subtypes. J Neurol","DOI":"10.1007\/s00415-022-11081-3"},{"key":"13143_CR132","doi-asserted-by":"publisher","first-page":"621","DOI":"10.1093\/brain\/awab322","volume":"145","author":"S Dukic","year":"2022","unstructured":"Dukic S, McMackin R, Costello E, Metzger M, Buxo T, Fasano A, Chipika R, Pinto-Grau M, Schuster C, Hammond M, Heverin M, Coffey A, Broderick M, Iyer PM, Mohr K, Gavin B, McLaughlin R, Pender N, Bede P, Muthuraman M, van den Berg LH, Hardiman O, Nasseroleslami B (2022) Resting-state EEG reveals four subphenotypes of amyotrophic lateral sclerosis. Brain 145:621\u2013631","journal-title":"Brain"},{"key":"13143_CR133","doi-asserted-by":"publisher","first-page":"844","DOI":"10.3389\/fneur.2018.00844","volume":"9","author":"G Querin","year":"2018","unstructured":"Querin G, Bede P, Marchand-Pauvert V, Pradat PF (2018) Biomarkers of spinal and bulbar muscle atrophy (SBMA): a comprehensive review. Front Neurol 9:844","journal-title":"Front Neurol"},{"key":"13143_CR134","doi-asserted-by":"publisher","DOI":"10.1016\/j.nicl.2018.101618","volume":"21","author":"G Querin","year":"2019","unstructured":"Querin G, El Mendili MM, Lenglet T, Behin A, Stojkovic T, Salachas F, Devos D, Le Forestier N, Del Mar AM, Debs R, Lacomblez L, Meninger V, Bruneteau G, Cohen-Adad J, Lehericy S, Laforet P, Blancho S, Benali H, Catala M, Li M, Marchand-Pauvert V, Hogrel JY, Bede P, Pradat PF (2019) The spinal and cerebral profile of adult spinal-muscular atrophy: a multimodal imaging study. NeuroImage Clinical 21:101618","journal-title":"NeuroImage Clinical"},{"key":"13143_CR135","doi-asserted-by":"crossref","unstructured":"Finegan E, Siah WF, Li Hi Shing S, Chipika RH, Hardiman O, Bede P (2022) Cerebellar degeneration in primary lateral sclerosis: an under-recognized facet of PLS. Amyotroph Later Scler Frontotemp Degener 1\u201312","DOI":"10.1080\/21678421.2021.2023188"},{"key":"13143_CR136","doi-asserted-by":"publisher","first-page":"266","DOI":"10.1007\/s00415-025-12971-y","volume":"272","author":"E Finegan","year":"2025","unstructured":"Finegan E, Kleinerova J, Hardiman O, Hutchinson S, Garcia-Gallardo A, Tan EL, Bede P (2025) Pseudobulbar affect: clinical associations, social impact and quality of life implications - Lessons from PLS. J Neurol 272:266","journal-title":"J Neurol"},{"key":"13143_CR137","doi-asserted-by":"publisher","DOI":"10.1016\/j.jns.2021.117361","volume":"424","author":"S Li Hi Shing","year":"2021","unstructured":"Li Hi Shing S, Lope J, McKenna MC, Chipika RH, Hardiman O, Bede P (2021) Increased cerebral integrity metrics in poliomyelitis survivors: putative adaptation to longstanding lower motor neuron degeneration. J Neurol Sci 424:117361","journal-title":"J Neurol Sci"},{"key":"13143_CR138","doi-asserted-by":"publisher","first-page":"4569","DOI":"10.1007\/s10072-021-05130-4","volume":"42","author":"S Li Hi Shing","year":"2021","unstructured":"Li Hi Shing S, Lope J, Chipika RH, Hardiman O, Bede P (2021) Extra-motor manifestations in post-polio syndrome (PPS): fatigue, cognitive symptoms and radiological features. Neurol Sci 42:4569\u20134581","journal-title":"Neurol Sci"},{"key":"13143_CR139","doi-asserted-by":"publisher","DOI":"10.1016\/j.dib.2021.107316","volume":"38","author":"S Li Hi Shing","year":"2021","unstructured":"Li Hi Shing S, Lope J, Chipika RH, Hardiman O, Bede P (2021) Imaging data indicate cerebral reorganisation in poliomyelitis survivors: Possible compensation for longstanding lower motor neuron pathology. Data Brief 38:107316","journal-title":"Data Brief"},{"key":"13143_CR140","doi-asserted-by":"publisher","first-page":"871","DOI":"10.1136\/jnnp.2004.047902","volume":"76","author":"MR Turner","year":"2005","unstructured":"Turner MR, Gerhard A, Al-Chalabi A, Shaw CE, Hughes RAC, Banati RB, Brooks DJ, Leigh PN (2005) Mills\u2019 and other isolated upper motor neurone syndromes: in vivo study with 11C-(R)-PK11195 PET. J Neurol Neurosurg Psychiatry 76:871\u2013874","journal-title":"J Neurol Neurosurg Psychiatry"},{"key":"13143_CR141","doi-asserted-by":"publisher","DOI":"10.1007\/s00415-013-7193-7","author":"P Bede","year":"2013","unstructured":"Bede P, Walsh R, Fagan AJ, Hardiman O (2013) \u201cSand-watch\u201d spinal cord: a case of inferior cervical spinal cord atrophy. J Neurol. https:\/\/doi.org\/10.1007\/s00415-013-7193-7","journal-title":"J Neurol"},{"key":"13143_CR142","doi-asserted-by":"publisher","first-page":"22","DOI":"10.4103\/0028-3886.39307","volume":"56","author":"HA Sonwalkar","year":"2008","unstructured":"Sonwalkar HA, Shah RS, Khan FK, Gupta AK, Bodhey NK, Vottath S, Purkayastha S (2008) Imaging features in Hirayama disease. Neurol India 56:22\u201326","journal-title":"Neurol India"},{"key":"13143_CR143","doi-asserted-by":"publisher","first-page":"1233","DOI":"10.1111\/ene.12465","volume":"21","author":"MV Lebouteux","year":"2014","unstructured":"Lebouteux MV, Franques J, Guillevin R, Delmont E, Lenglet T, Bede P, Desnuelle C, Pouget J, Pascal-Mousselard H, Pradat PF (2014) Revisiting the spectrum of lower motor neuron diseases with snake eyes appearance on magnetic resonance imaging. Eur J Neurol 21:1233\u20131241","journal-title":"Eur J Neurol"},{"key":"13143_CR144","doi-asserted-by":"publisher","first-page":"4","DOI":"10.1080\/21678421.2017.1392578","volume":"19","author":"P Bede","year":"2018","unstructured":"Bede P, Finegan E (2018) Revisiting the pathoanatomy of pseudobulbar affect: mechanisms beyond corticobulbar dysfunction. Amyotroph Later Scler Frontotemp Degener 19:4\u20136","journal-title":"Amyotroph Later Scler Frontotemp Degener"},{"key":"13143_CR145","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1016\/j.cortex.2017.09.016","volume":"97","author":"F Trojsi","year":"2017","unstructured":"Trojsi F, Di Nardo F, Santangelo G, Siciliano M, Femiano C, Passaniti C, Caiazzo G, Fratello M, Cirillo M, Monsurr\u00f2 MR, Esposito F, Tedeschi G (2017) Resting state fMRI correlates of Theory of Mind impairment in amyotrophic lateral sclerosis. Cortex 97:1\u201316","journal-title":"Cortex"},{"key":"13143_CR146","doi-asserted-by":"publisher","first-page":"373","DOI":"10.1136\/jnnp-2019-322541","volume":"91","author":"MR Turner","year":"2020","unstructured":"Turner MR, Barohn RJ, Corcia P, Fink JK, Harms MB, Kiernan MC, Ravits J, Silani V, Simmons Z, Statland J, van den Berg LH, Mitsumoto H (2020) Primary lateral sclerosis: consensus diagnostic criteria. J Neurol Neurosurg Psychiatry 91:373\u2013377","journal-title":"J Neurol Neurosurg Psychiatry"},{"key":"13143_CR147","doi-asserted-by":"publisher","DOI":"10.1016\/j.jns.2020.117052","volume":"417","author":"E Finegan","year":"2020","unstructured":"Finegan E, Li Hi Shing S, Siah WF, Chipika RH, Chang KM, McKenna MC, Doherty MA, Hengeveld JC, Vajda A, Donaghy C, Hutchinson S, McLaughlin RL, Hardiman O, Bede P (2020) Evolving diagnostic criteria in primary lateral sclerosis: the clinical and radiological basis of \u201cprobable PLS.\u201d J Neurol Sci 417:117052","journal-title":"J Neurol Sci"},{"key":"13143_CR148","doi-asserted-by":"publisher","first-page":"20","DOI":"10.1002\/ana.23937","volume":"74","author":"J Brettschneider","year":"2013","unstructured":"Brettschneider J, Del Tredici K, Toledo JB, Robinson JL, Irwin DJ, Grossman M, Suh E, Van Deerlin VM, Wood EM, Baek Y, Kwong L, Lee EB, Elman L, McCluskey L, Fang L, Feldengut S, Ludolph AC, Lee VM, Braak H, Trojanowski JQ (2013) Stages of pTDP-43 pathology in amyotrophic lateral sclerosis. Ann Neurol 74:20\u201338","journal-title":"Ann Neurol"},{"key":"13143_CR149","doi-asserted-by":"publisher","DOI":"10.1016\/j.nicl.2020.102298","volume":"27","author":"HP M\u00fcller","year":"2020","unstructured":"M\u00fcller HP, Del Tredici K, Lul\u00e9 D, M\u00fcller K, Weishaupt JH, Ludolph AC, Kassubek J (2020) In vivo histopathological staging in C9orf72-associated ALS: a tract of interest DTI study. NeuroImage Clinical 27:102298","journal-title":"NeuroImage Clinical"},{"key":"13143_CR150","doi-asserted-by":"publisher","first-page":"268","DOI":"10.1007\/s00415-025-13006-2","volume":"272","author":"A Michielsen","year":"2025","unstructured":"Michielsen A, van Veenhuijzen K, Hiemstra F, Jansen IM, Kalkhoven B, Veldink JH, Kruitwagen ET, van Es M, van Zandvoort MJE, van den Berg LH, Westeneng HJ (2025) Cognitive impairment within and beyond the FTD spectrum in ALS: development of a complementary cognitive screen. J Neurol 272:268","journal-title":"J Neurol"},{"key":"13143_CR151","doi-asserted-by":"publisher","first-page":"153","DOI":"10.1080\/21678421.2016.1267768","volume":"18","author":"MJ Strong","year":"2017","unstructured":"Strong MJ, Abrahams S, Goldstein LH, Woolley S, McLaughlin P, Snowden J, Mioshi E, Roberts-South A, Benatar M, HortobaGyi T, Rosenfeld J, Silani V, Ince PG, Turner MR (2017) Amyotrophic lateral sclerosis - frontotemporal spectrum disorder (ALS-FTSD): Revised diagnostic criteria. Amyotroph Later Scler Frontotemp Degener 18:153\u2013174","journal-title":"Amyotroph Later Scler Frontotemp Degener"},{"key":"13143_CR152","doi-asserted-by":"publisher","first-page":"847","DOI":"10.1093\/brain\/awr351","volume":"135","author":"JC Roche","year":"2012","unstructured":"Roche JC, Rojas-Garcia R, Scott KM, Scotton W, Ellis CE, Burman R, Wijesekera L, Turner MR, Leigh PN, Shaw CE, Al-Chalabi A (2012) A proposed staging system for amyotrophic lateral sclerosis. Brain 135:847\u2013852","journal-title":"Brain"},{"key":"13143_CR153","doi-asserted-by":"publisher","first-page":"e984","DOI":"10.1212\/WNL.0000000000008063","volume":"93","author":"A Chi\u00f2","year":"2019","unstructured":"Chi\u00f2 A, Moglia C, Canosa A, Manera U, Vasta R, Brunetti M, Barberis M, Corrado L, D\u2019Alfonso S, Bersano E, Sarnelli MF, Solara V, Zucchetti JP, Peotta L, Iazzolino B, Mazzini L, Mora G, Calvo A (2019) Cognitive impairment across ALS clinical stages in a population-based cohort. Neurology 93:e984\u2013e994","journal-title":"Neurology"},{"key":"13143_CR154","doi-asserted-by":"publisher","DOI":"10.1136\/jnnp-2021-326266","author":"P Corcia","year":"2021","unstructured":"Corcia P, Bede P, Pradat PF, Couratier P, Vucic S, de Carvalho M (2021) Split-hand and split-limb phenomena in amyotrophic lateral sclerosis: pathophysiology, electrophysiology and clinical manifestations. J Neurol Neurosurg Psychiatry. https:\/\/doi.org\/10.1136\/jnnp-2021-326266","journal-title":"J Neurol Neurosurg Psychiatry"},{"key":"13143_CR155","doi-asserted-by":"publisher","first-page":"469","DOI":"10.1002\/mus.24132","volume":"49","author":"A Eisen","year":"2014","unstructured":"Eisen A, Turner MR, Lemon R (2014) Tools and talk: an evolutionary perspective on the functional deficits associated with amyotrophic lateral sclerosis. Muscle Nerve 49:469\u2013477","journal-title":"Muscle Nerve"},{"key":"13143_CR156","doi-asserted-by":"publisher","first-page":"487","DOI":"10.3109\/21678421.2013.812660","volume":"14","author":"A Eisen","year":"2013","unstructured":"Eisen A, Turner MR (2013) Does variation in neurodegenerative disease susceptibility and phenotype reflect cerebral differences at the network level? Amyotroph Later Scler Frontotemp Degener 14:487\u2013493","journal-title":"Amyotroph Later Scler Frontotemp Degener"},{"key":"13143_CR157","doi-asserted-by":"crossref","unstructured":"Eisen A, Bede P (2021) The strength of corticomotoneuronal drive underlies ALS split phenotypes and reflects early upper motor neuron dysfunction. Brain Behav e2403","DOI":"10.1002\/brb3.2403"},{"key":"13143_CR158","doi-asserted-by":"publisher","first-page":"917","DOI":"10.1136\/jnnp-2017-315573","volume":"88","author":"A Eisen","year":"2017","unstructured":"Eisen A, Braak H, Del Tredici K, Lemon R, Ludolph AC, Kiernan MC (2017) Cortical influences drive amyotrophic lateral sclerosis. J Neurol Neurosurg Psychiatry 88:917\u2013924","journal-title":"J Neurol Neurosurg Psychiatry"},{"key":"13143_CR159","doi-asserted-by":"publisher","DOI":"10.3389\/fneur.2022.890203","volume":"13","author":"RD Henderson","year":"2022","unstructured":"Henderson RD, Kepp KP, Eisen A (2022) ALS\/FTD: evolution, aging, and cellular metabolic exhaustion. Front Neurol 13:890203","journal-title":"Front Neurol"},{"key":"13143_CR160","doi-asserted-by":"publisher","first-page":"330","DOI":"10.1007\/s00415-025-13037-9","volume":"272","author":"PS Wolmer","year":"2025","unstructured":"Wolmer PS, de Borba FC, de Rezende TJR, Gonz\u00e1lez-Salazar C, Pedroso JL, Barsottini OGP, Kleinerova J, Bede P, Marques W Jr, Fran\u00e7a MC Jr (2025) Distinct patterns of cerebral and spinal pathology along the spectrum of ATXN2-related disorders. J Neurol 272:330","journal-title":"J Neurol"},{"key":"13143_CR161","doi-asserted-by":"publisher","first-page":"1195","DOI":"10.1136\/jnnp-2020-323671","volume":"91","author":"DE Lul\u00e9","year":"2020","unstructured":"Lul\u00e9 DE, M\u00fcller HP, Finsel J, Weydt P, Knehr A, Winroth I, Andersen P, Weishaupt J, Uttner I, Kassubek J, Ludolph AC (2020) Deficits in verbal fluency in presymptomatic C9orf72 mutation gene carriers-a developmental disorder. J Neurol Neurosurg Psychiatry 91:1195\u20131200","journal-title":"J Neurol Neurosurg Psychiatry"},{"key":"13143_CR162","doi-asserted-by":"publisher","first-page":"1138","DOI":"10.1136\/jnnp-2020-324416","volume":"91","author":"P Bede","year":"2020","unstructured":"Bede P, Siah WF, McKenna MC, Li Hi Shing S (2020) Consideration of C9orf72-associated ALS-FTD as a neurodevel-opmental disorder: insights from neuroimaging. J Neurol Neurosurg Psychiatry 91:1138","journal-title":"J Neurol Neurosurg Psychiatry"},{"key":"13143_CR163","doi-asserted-by":"publisher","DOI":"10.1136\/jnnp-2020-324992","author":"E Costello","year":"2021","unstructured":"Costello E, Rooney J, Pinto-Grau M, Burke T, Elamin M, Bede P, McMackin R, Dukic S, Vajda A, Heverin M, Hardiman O, Pender N (2021) Cognitive reserve in amyotrophic lateral sclerosis (ALS): a population-based longitudinal study. J Neurol Neurosurg Psychiatry. https:\/\/doi.org\/10.1136\/jnnp-2020-324992","journal-title":"J Neurol Neurosurg Psychiatry"},{"key":"13143_CR164","doi-asserted-by":"publisher","first-page":"1212","DOI":"10.1002\/acn3.51623","volume":"9","author":"AGM Temp","year":"2022","unstructured":"Temp AGM, Kasper E, Machts J, Vielhaber S, Teipel S, Hermann A, Prudlo J (2022) Cognitive reserve protects ALS-typical cognitive domains: a longitudinal study. Annals Clin Trans Neurol 9:1212\u20131223","journal-title":"Annals Clin Trans Neurol"},{"key":"13143_CR165","doi-asserted-by":"publisher","first-page":"1208","DOI":"10.4103\/1673-5374.300440","volume":"16","author":"P Bede","year":"2021","unstructured":"Bede P, Bogdahn U, Lope J, Chang KM, Xirou S, Christidi F (2021) Degenerative and regenerative processes in amyotrophic lateral sclerosis: motor reserve, adaptation and putative compensatory changes. Neural Regen Res 16:1208\u20131209","journal-title":"Neural Regen Res"},{"key":"13143_CR166","doi-asserted-by":"publisher","first-page":"1881","DOI":"10.1007\/s00702-021-02413-0","volume":"128","author":"F Trojsi","year":"2021","unstructured":"Trojsi F, Di Nardo F, Caiazzo G, Siciliano M, D\u2019Alvano G, Passaniti C, Russo A, Bonavita S, Cirillo M, Esposito F, Tedeschi G (2021) Between-sex variability of resting state functional brain networks in amyotrophic lateral sclerosis (ALS). J Neural Transm (Vienna) 128:1881\u20131897","journal-title":"J Neural Transm (Vienna)"},{"key":"13143_CR167","doi-asserted-by":"publisher","first-page":"235","DOI":"10.3109\/21678421.2013.865749","volume":"15","author":"P Bede","year":"2014","unstructured":"Bede P, Elamin M, Byrne S, Hardiman O (2014) Sexual dimorphism in ALS: exploring gender-specific neuroimaging signatures. Amyotroph Later Scler Frontotemp Degener 15:235\u2013243","journal-title":"Amyotroph Later Scler Frontotemp Degener"},{"key":"13143_CR168","doi-asserted-by":"publisher","first-page":"561","DOI":"10.3109\/21678421.2016.1173702","volume":"17","author":"P Bede","year":"2016","unstructured":"Bede P, Iyer PM, Schuster C, Elamin M, McLaughlin RL, Kenna K, Hardiman O (2016) The selective anatomical vulnerability of ALS: \u2018disease-defining\u2019 and \u2018disease-defying\u2019 brain regions. Amyotroph Later Scler Frontotemp Degener 17:561\u2013570","journal-title":"Amyotroph Later Scler Frontotemp Degener"},{"key":"13143_CR169","doi-asserted-by":"publisher","first-page":"725","DOI":"10.1002\/ana.25706","volume":"87","author":"JM Meier","year":"2020","unstructured":"Meier JM, van der Burgh HK, Nitert AD, Bede P, de Lange SC, Hardiman O, van den Berg LH, van den Heuvel MP (2020) Connectome-based propagation model in amyotrophic lateral sclerosis. Ann Neurol 87:725\u2013738","journal-title":"Ann Neurol"},{"key":"13143_CR170","doi-asserted-by":"publisher","first-page":"1288","DOI":"10.1016\/j.clinph.2015.02.003","volume":"126","author":"A Eisen","year":"2015","unstructured":"Eisen A, Lemon R, Kiernan MC, Hornberger M, Turner MR (2015) Does dysfunction of the mirror neuron system contribute to symptoms in amyotrophic lateral sclerosis? Clin Neurophysiol 126:1288\u20131294","journal-title":"Clin Neurophysiol"},{"key":"13143_CR171","doi-asserted-by":"publisher","first-page":"1434404","DOI":"10.3389\/fnins.2024.1434404","volume":"18","author":"L Goffin","year":"2024","unstructured":"Goffin L, Lemoine D, Clotman F (2024) Potential contribution of spinal interneurons to the etiopathogenesis of amyotrophic lateral sclerosis. Front Neurosci 18:1434404","journal-title":"Front Neurosci"},{"key":"13143_CR172","doi-asserted-by":"publisher","first-page":"303","DOI":"10.1002\/mus.28035","volume":"69","author":"J Castro","year":"2024","unstructured":"Castro J, Oliveira Santos M, Swash M, de Carvalho M (2024) Segmental motor neuron dysfunction in amyotrophic lateral sclerosis: Insights from H reflex paradigms. Muscle Nerve 69:303\u2013312","journal-title":"Muscle Nerve"},{"key":"13143_CR173","doi-asserted-by":"publisher","first-page":"1758","DOI":"10.1212\/WNL.0000000000004582","volume":"89","author":"P Bede","year":"2017","unstructured":"Bede P (2017) Deciphering neurodegeneration: A paradigm shift from focality to connectivity. Neurology 89:1758\u20131759","journal-title":"Neurology"},{"key":"13143_CR174","doi-asserted-by":"publisher","first-page":"431","DOI":"10.1097\/WCO.0000000000000569","volume":"31","author":"P Bede","year":"2018","unstructured":"Bede P, Querin G, Pradat PF (2018) The changing landscape of motor neuron disease imaging: the transition from descriptive studies to precision clinical tools. Curr Opin Neurol 31:431\u2013438","journal-title":"Curr Opin Neurol"},{"key":"13143_CR175","doi-asserted-by":"publisher","first-page":"513","DOI":"10.1007\/s11307-022-01779-1","volume":"25","author":"AC Knight","year":"2023","unstructured":"Knight AC, Morrone CD, Varlow C, Yu WH, McQuade P, Vasdev N (2023) Head-to-head comparison of Tau-PET radioligands for imaging TDP-43 in post-mortem ALS brain. Mol Imag Biol 25:513\u2013527","journal-title":"Mol Imag Biol"},{"key":"13143_CR176","doi-asserted-by":"publisher","first-page":"570","DOI":"10.1136\/jnnp-2015-311952","volume":"87","author":"HP Muller","year":"2016","unstructured":"Muller HP, Turner MR, Grosskreutz J, Abrahams S, Bede P, Govind V, Prudlo J, Ludolph AC, Filippi M, Kassubek J (2016) A large-scale multicentre cerebral diffusion tensor imaging study in amyotrophic lateral sclerosis. J Neurol Neurosurg Psychiatry 87:570\u2013579","journal-title":"J Neurol Neurosurg Psychiatry"}],"container-title":["Journal of Neurology"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s00415-025-13143-8.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s00415-025-13143-8\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s00415-025-13143-8.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,14]],"date-time":"2025-06-14T10:02:35Z","timestamp":1749895355000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s00415-025-13143-8"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,5,12]]},"references-count":176,"journal-issue":{"issue":"6","published-print":{"date-parts":[[2025,6]]}},"alternative-id":["13143"],"URL":"https:\/\/doi.org\/10.1007\/s00415-025-13143-8","relation":{},"ISSN":["0340-5354","1432-1459"],"issn-type":[{"value":"0340-5354","type":"print"},{"value":"1432-1459","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025,5,12]]},"assertion":[{"value":"16 April 2025","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"30 April 2025","order":2,"name":"revised","label":"Revised","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"5 May 2025","order":3,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"12 May 2025","order":4,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"The authors have no competing interests to disclose.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflicts of Interest"}}],"article-number":"392"}}