{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,30]],"date-time":"2026-09-30T03:56:50Z","timestamp":1790740610970,"version":"4.1.0"},"reference-count":171,"publisher":"MDPI AG","issue":"1","license":[{"start":{"date-parts":[[2025,12,24]],"date-time":"2025-12-24T00:00:00Z","timestamp":1766534400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/100000001","name":"National Science Foundation","doi-asserted-by":"publisher","award":["NSF-1913492"],"award-info":[{"award-number":["NSF-1913492"]}],"id":[{"id":"10.13039\/100000001","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000001","name":"National Science Foundation","doi-asserted-by":"publisher","award":["NSF-2006012"],"award-info":[{"award-number":["NSF-2006012"]}],"id":[{"id":"10.13039\/100000001","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Institutional Development Award (IDeA) Network for Biomedical Research Excellence","award":["P20GM103430"],"award-info":[{"award-number":["P20GM103430"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Cells"],"abstract":"<jats:p>Amyotrophic lateral sclerosis (ALS) is a progressive neurodegenerative disease that leads to the gradual loss of motor control, typically resulting in paralysis and death within 3 to 5 years of diagnosis. ALS shares neuropathological and genetic associations with fronto-temporal dementia (FTD), a neurodegenerative condition primarily impacting cognitive functions. These two conditions are increasingly viewed as manifestations of a single molecular disease process that affects distinct brain systems, impacting motor neuronal pathways in ALS and fronto-cortical functions in FTD. However, this simple dichotomy belies the complexity of these conditions. In particular, patients with primary motor ALS can also experience significant cognitive deficits. Investigating the pathobiological and neurophysiological underpinnings of these impairments is essential for a comprehensive understanding of ALS and may open avenues for targeted therapies to alleviate these debilitating symptoms. Moreover, the biophysical correlates of cognitive deficits in ALS may serve as sensitive biomarkers for evaluating potential therapeutics. In this narrative review, we begin with an overview of the clinical features and genetics of ALS, followed by a review of the associated cognitive deficits that are adjunctive to motor decline. We then highlight neuroimaging studies from our laboratory and the broader literature, using EEG and other modalities that are beginning to uncover systems-level brain disruptions potentially underlying cognitive impairment in motor-dominant ALS.<\/jats:p>","DOI":"10.3390\/cells15010037","type":"journal-article","created":{"date-parts":[[2025,12,24]],"date-time":"2025-12-24T14:27:51Z","timestamp":1766586471000},"page":"37","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["A Comprehensive Overview of Neurophysiological Correlates of Cognitive Impairment in Amyotrophic Lateral Sclerosis"],"prefix":"10.3390","volume":"15","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-3164-6440","authenticated-orcid":false,"given":"Seyyed Bahram","family":"Borgheai","sequence":"first","affiliation":[{"name":"Department of Electrical, Computer & Biomedical Engineering, University of Rhode Island, Kingston, RI 02881, USA"},{"name":"Neurology Department, Emory University, Atlanta, GA 30322, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0008-9262-4908","authenticated-orcid":false,"given":"Brie E.","family":"Achorn","sequence":"additional","affiliation":[{"name":"Interdisciplinary Neuroscience Program, University of Rhode Island, Kingston, RI 02881, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2266-4855","authenticated-orcid":false,"given":"Alyssa H.","family":"Zisk","sequence":"additional","affiliation":[{"name":"Interdisciplinary Neuroscience Program, University of Rhode Island, Kingston, RI 02881, USA"},{"name":"AssistiveWare B.V., 1016 PL Amsterdam, The Netherlands"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6159-0257","authenticated-orcid":false,"given":"Sarah M.","family":"Hosni","sequence":"additional","affiliation":[{"name":"Department of Electrical, Computer & Biomedical Engineering, University of Rhode Island, Kingston, RI 02881, USA"},{"name":"Computer Science Department, Old Dominion University, Norfolk, VA 23529, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8470-3157","authenticated-orcid":false,"given":"Karl E. G.","family":"Richter","sequence":"additional","affiliation":[{"name":"IMS Scientific Consulting, Malden, MA 02148, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2612-9534","authenticated-orcid":false,"given":"Frank S.","family":"Menniti","sequence":"additional","affiliation":[{"name":"IMS Scientific Consulting, Malden, MA 02148, USA"},{"name":"MindImmune Therapeutics, Inc., Kingston, RI 02881, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1640-0749","authenticated-orcid":false,"given":"Yalda","family":"Shahriari","sequence":"additional","affiliation":[{"name":"Department of Electrical, Computer & Biomedical Engineering, University of Rhode Island, Kingston, RI 02881, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1968","published-online":{"date-parts":[[2025,12,24]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"a024117","DOI":"10.1101\/cshperspect.a024117","article-title":"Clinical Spectrum of Amyotrophic Lateral Sclerosis (ALS)","volume":"7","author":"Grad","year":"2017","journal-title":"Cold Spring Harb. Perspect. Med."},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"162","DOI":"10.1056\/NEJMra1603471","article-title":"Amyotrophic Lateral Sclerosis","volume":"377","author":"Brown","year":"2017","journal-title":"N. Engl. J. Med."},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"1769","DOI":"10.3174\/ajnr.A2043","article-title":"The present and the future of neuroimaging in amyotrophic lateral sclerosis","volume":"31","author":"Agosta","year":"2010","journal-title":"Am. J. Neuroradiol."},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"17071","DOI":"10.1038\/nrdp.2017.71","article-title":"Amyotrophic lateral sclerosis","volume":"3","author":"Hardiman","year":"2017","journal-title":"Nat. Rev. Dis. Primers"},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"2084","DOI":"10.1016\/S0140-6736(17)31287-4","article-title":"Amyotrophic lateral sclerosis","volume":"390","author":"Hardiman","year":"2017","journal-title":"Lancet"},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"992","DOI":"10.1016\/j.neuron.2021.12.019","article-title":"Genome-wide identification of the genetic basis of amyotrophic lateral sclerosis","volume":"110","author":"Zhang","year":"2022","journal-title":"Neuron"},{"key":"ref_7","doi-asserted-by":"crossref","first-page":"257","DOI":"10.1016\/j.neuron.2011.09.010","article-title":"A hexanucleotide repeat expansion in C9ORF72 is the cause of chromosome 9p21-linked ALS-FTD","volume":"72","author":"Renton","year":"2011","journal-title":"Neuron"},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"540","DOI":"10.1136\/jnnp-2016-315018","article-title":"Genetic epidemiology of amyotrophic lateral sclerosis: A systematic review and meta-analysis","volume":"88","author":"Zou","year":"2017","journal-title":"J. Neurol. Neurosurg. Psychiatry"},{"key":"ref_9","doi-asserted-by":"crossref","first-page":"3","DOI":"10.1186\/s40035-016-0050-8","article-title":"Genotype-phenotype correlations of amyotrophic lateral sclerosis","volume":"5","author":"Li","year":"2016","journal-title":"Transl. Neurodegener."},{"key":"ref_10","doi-asserted-by":"crossref","first-page":"e670","DOI":"10.1212\/NXG.0000000000000670","article-title":"Expanding Clinical Spectrum of C9ORF72-Related Disorders and Promising Therapeutic Strategies: A Review","volume":"8","author":"Breevoort","year":"2022","journal-title":"Neurol. Genet."},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"131","DOI":"10.1038\/s10038-022-01055-8","article-title":"Genetics of amyotrophic lateral sclerosis: Seeking therapeutic targets in the era of gene therapy","volume":"68","author":"Suzuki","year":"2023","journal-title":"J. Hum. Genet."},{"key":"ref_12","doi-asserted-by":"crossref","first-page":"642","DOI":"10.1038\/s41576-023-00592-y","article-title":"Amyotrophic lateral sclerosis: Translating genetic discoveries into therapies","volume":"24","author":"Akcimen","year":"2023","journal-title":"Nat. Rev. Genet."},{"key":"ref_13","doi-asserted-by":"crossref","first-page":"109","DOI":"10.1016\/j.gene.2015.11.049","article-title":"Mutant SOD1 mediated pathogenesis of Amyotrophic Lateral Sclerosis","volume":"577","author":"Kaur","year":"2016","journal-title":"Gene"},{"key":"ref_14","doi-asserted-by":"crossref","unstructured":"Peggion, C., Scalcon, V., Massimino, M.L., Nies, K., Lopreiato, R., Rigobello, M.P., and Bertoli, A. (2022). SOD1 in ALS: Taking stock in pathogenic mechanisms and the role of glial and muscle cells. Antioxidants, 11.","DOI":"10.3390\/antiox11040614"},{"key":"ref_15","doi-asserted-by":"crossref","first-page":"822","DOI":"10.1016\/j.neuron.2020.08.022","article-title":"ALS Genetics: Gains, Losses, and Implications for Future Therapies","volume":"108","author":"Kim","year":"2020","journal-title":"Neuron"},{"key":"ref_16","doi-asserted-by":"crossref","first-page":"715","DOI":"10.1007\/s00401-018-1933-9","article-title":"Inflammation in ALS\/FTD pathogenesis","volume":"137","author":"McCauley","year":"2019","journal-title":"Acta Neuropathol."},{"key":"ref_17","doi-asserted-by":"crossref","unstructured":"Smeyers, J., Banchi, E.G., and Latouche, M. (2021). C9ORF72: What It Is, What It Does, and Why It Matters. Front. Cell. Neurosci., 15.","DOI":"10.3389\/fncel.2021.661447"},{"key":"ref_18","doi-asserted-by":"crossref","first-page":"a024125","DOI":"10.1101\/cshperspect.a024125","article-title":"Genetics of Amyotrophic Lateral Sclerosis","volume":"8","author":"Ghasemi","year":"2018","journal-title":"Cold Spring Harb. Perspect. Med."},{"key":"ref_19","doi-asserted-by":"crossref","first-page":"589","DOI":"10.1515\/hsz-2012-0115","article-title":"TDP-43 in central nervous system development and function: Clues to TDP-43-associated neurodegeneration","volume":"393","author":"Sephton","year":"2012","journal-title":"Biol. Chem."},{"key":"ref_20","doi-asserted-by":"crossref","first-page":"130","DOI":"10.1126\/science.1134108","article-title":"Ubiquitinated TDP-43 in frontotemporal lobar degeneration and amyotrophic lateral sclerosis","volume":"314","author":"Neumann","year":"2006","journal-title":"Science"},{"key":"ref_21","doi-asserted-by":"crossref","first-page":"126","DOI":"10.1038\/nature06992","article-title":"Induced ncRNAs allosterically modify RNA-binding proteins in cis to inhibit transcription","volume":"454","author":"Wang","year":"2008","journal-title":"Nature"},{"key":"ref_22","doi-asserted-by":"crossref","unstructured":"Deng, J., Yang, M., Chen, Y., Chen, X., Liu, J., Sun, S., Cheng, H., Li, Y., Bigio, E.H., and Mesulam, M. (2015). FUS Interacts with HSP60 to Promote Mitochondrial Damage. PLoS Genet., 11.","DOI":"10.1371\/journal.pgen.1005357"},{"key":"ref_23","doi-asserted-by":"crossref","first-page":"1447","DOI":"10.1007\/s00415-015-7731-6","article-title":"Predicting prognosis in amyotrophic lateral sclerosis: A simple algorithm","volume":"262","author":"Elamin","year":"2015","journal-title":"J. Neurol."},{"key":"ref_24","doi-asserted-by":"crossref","first-page":"1117","DOI":"10.1212\/WNL.0b013e31828869da","article-title":"Cortical atrophy in ALS is critically associated with neuropsychiatric and cognitive changes","volume":"80","author":"Mioshi","year":"2013","journal-title":"Neurology"},{"key":"ref_25","doi-asserted-by":"crossref","first-page":"387","DOI":"10.1080\/21678421.2018.1473443","article-title":"Cognitive-behavioral longitudinal assessment in ALS: The Italian Edinburgh Cognitive and Behavioral ALS screen (ECAS)","volume":"19","author":"Poletti","year":"2018","journal-title":"Amyotroph. Lateral Scler. Front. Degener."},{"key":"ref_26","doi-asserted-by":"crossref","first-page":"9","DOI":"10.3109\/21678421.2013.805784","article-title":"Screening for cognition and behaviour changes in ALS","volume":"15","author":"Abrahams","year":"2014","journal-title":"Amyotroph. Lateral Scler. Front. Degener."},{"key":"ref_27","doi-asserted-by":"crossref","first-page":"489","DOI":"10.1080\/21678421.2016.1183679","article-title":"The validation of the Italian Edinburgh Cognitive and Behavioural ALS Screen (ECAS)","volume":"17","author":"Poletti","year":"2016","journal-title":"Amyotroph. Lateral Scler. Front. Degener."},{"key":"ref_28","doi-asserted-by":"crossref","first-page":"153","DOI":"10.1080\/21678421.2016.1267768","article-title":"Amyotrophic lateral sclerosis\u2014Frontotemporal spectrum disorder (ALS-FTSD): Revised diagnostic criteria","volume":"18","author":"Strong","year":"2017","journal-title":"Amyotroph. Lateral Scler. Front. Degener."},{"key":"ref_29","doi-asserted-by":"crossref","first-page":"102","DOI":"10.1136\/jnnp-2011-300188","article-title":"The syndrome of cognitive impairment in amyotrophic lateral sclerosis: A population-based study","volume":"83","author":"Phukan","year":"2012","journal-title":"J. Neurol. Neurosurg. Psychiatry"},{"key":"ref_30","doi-asserted-by":"crossref","first-page":"586","DOI":"10.1212\/01.wnl.0000172911.39167.b6","article-title":"Prevalence and patterns of cognitive impairment in sporadic ALS","volume":"65","author":"Ringholz","year":"2005","journal-title":"Neurology"},{"key":"ref_31","doi-asserted-by":"crossref","first-page":"168","DOI":"10.1136\/jnnp-2013-307223","article-title":"Cognitive correlates in amyotrophic lateral sclerosis: A population-based study in Italy","volume":"86","author":"Montuschi","year":"2015","journal-title":"J. Neurol. Neurosurg. Psychiatry"},{"key":"ref_32","doi-asserted-by":"crossref","unstructured":"Ye, S., Ji, Y., Li, C., He, J., Liu, X., and Fan, D. (2016). The Edinburgh Cognitive and Behavioural ALS Screen in a Chinese Amyotrophic Lateral Sclerosis Population. PLoS ONE, 11.","DOI":"10.1371\/journal.pone.0155496"},{"key":"ref_33","doi-asserted-by":"crossref","first-page":"460","DOI":"10.1136\/jnnp-2020-324992","article-title":"Cognitive reserve in amyotrophic lateral sclerosis (ALS): A population-based longitudinal study","volume":"92","author":"Costello","year":"2021","journal-title":"J. Neurol. Neurosurg. Psychiatry"},{"key":"ref_34","doi-asserted-by":"crossref","first-page":"2","DOI":"10.1080\/21678421.2022.2101379","article-title":"Cognition in the course of ALS\u2014A meta-analysis","volume":"24","author":"Finsel","year":"2023","journal-title":"Amyotroph. Lateral Scler. Front. Degener."},{"key":"ref_35","doi-asserted-by":"crossref","first-page":"1590","DOI":"10.1212\/WNL.0b013e31828f18ac","article-title":"Cognitive changes predict functional decline in ALS: A population-based longitudinal study","volume":"80","author":"Elamin","year":"2013","journal-title":"Neurology"},{"key":"ref_36","doi-asserted-by":"crossref","first-page":"5969137","DOI":"10.1155\/2018\/5969137","article-title":"Longitudinal Screening Detects Cognitive Stability and Behavioral Deterioration in ALS Patients","volume":"2018","author":"Woolley","year":"2018","journal-title":"Behav. Neurol."},{"key":"ref_37","doi-asserted-by":"crossref","unstructured":"Benbrika, S., Desgranges, B., Eustache, F., and Viader, F. (2019). Cognitive, Emotional and Psychological Manifestations in Amyotrophic Lateral Sclerosis at Baseline and Overtime: A Review. Front. Neurosci., 13.","DOI":"10.3389\/fnins.2019.00951"},{"key":"ref_38","first-page":"316","article-title":"Temporal course of cognitive and behavioural changes in motor neuron diseases","volume":"95","author":"McHutchison","year":"2024","journal-title":"J. Neurol. Neurosurg. Psychiatry"},{"key":"ref_39","doi-asserted-by":"crossref","first-page":"882","DOI":"10.1111\/j.1530-0277.2000.tb02070.x","article-title":"Integrating person-centered and variable-centered analyses: Growth mixture modeling with latent trajectory classes","volume":"24","year":"2000","journal-title":"Alcohol. Clin. Exp. Res."},{"key":"ref_40","doi-asserted-by":"crossref","first-page":"e70115","DOI":"10.1002\/brb3.70115","article-title":"The Basis of Cognitive and Behavioral Dysfunction in Amyotrophic Lateral Sclerosis","volume":"14","author":"Bampton","year":"2024","journal-title":"Brain Behav."},{"key":"ref_41","doi-asserted-by":"crossref","first-page":"509","DOI":"10.1007\/s00401-011-0797-z","article-title":"Motor neuron disease clinically limited to the lower motor neuron is a diffuse TDP-43 proteinopathy","volume":"121","author":"Geser","year":"2011","journal-title":"Acta Neuropathol."},{"key":"ref_42","doi-asserted-by":"crossref","first-page":"213","DOI":"10.1007\/s00401-017-1797-4","article-title":"Synapse loss in the prefrontal cortex is associated with cognitive decline in amyotrophic lateral sclerosis","volume":"135","author":"Henstridge","year":"2018","journal-title":"Acta Neuropathol."},{"key":"ref_43","doi-asserted-by":"crossref","first-page":"2238","DOI":"10.1007\/s00415-024-12201-x","article-title":"Potential of neuroimaging as a biomarker in amyotrophic lateral sclerosis: From structure to metabolism","volume":"271","author":"Sun","year":"2024","journal-title":"J. Neurol."},{"key":"ref_44","doi-asserted-by":"crossref","first-page":"240","DOI":"10.1016\/j.neurobiolaging.2013.07.020","article-title":"Cortical thinning and its relation to cognition in amyotrophic lateral sclerosis","volume":"35","author":"Schuster","year":"2014","journal-title":"Neurobiol. Aging"},{"key":"ref_45","doi-asserted-by":"crossref","first-page":"284","DOI":"10.1016\/j.cortex.2020.07.007","article-title":"Cortical thinning trajectories across disease stages and cognitive impairment in amyotrophic lateral sclerosis","volume":"131","author":"Consonni","year":"2020","journal-title":"Cortex"},{"key":"ref_46","doi-asserted-by":"crossref","first-page":"1641","DOI":"10.1007\/s11682-020-00359-7","article-title":"Neuroanatomical associations of the Edinburgh cognitive and Behavioural ALS screen (ECAS)","volume":"15","author":"Chenji","year":"2021","journal-title":"Brain Imaging Behav."},{"key":"ref_47","doi-asserted-by":"crossref","first-page":"103749","DOI":"10.1016\/j.nicl.2025.103749","article-title":"Neuroimaging correlates of domain-specific cognitive deficits in amyotrophic lateral sclerosis","volume":"45","author":"Tan","year":"2025","journal-title":"NeuroImage Clin."},{"key":"ref_48","doi-asserted-by":"crossref","first-page":"2105","DOI":"10.1093\/brain\/119.6.2105","article-title":"Frontal lobe dysfunction in amyotrophic lateral sclerosis. A PET study","volume":"119","author":"Abrahams","year":"1996","journal-title":"Brain"},{"key":"ref_49","doi-asserted-by":"crossref","first-page":"2097","DOI":"10.1007\/s10072-015-2319-6","article-title":"Altered cortical hubs in functional brain networks in amyotrophic lateral sclerosis","volume":"36","author":"Ma","year":"2015","journal-title":"Neurol. Sci."},{"key":"ref_50","doi-asserted-by":"crossref","first-page":"357","DOI":"10.1136\/jnnp-2020-323876","article-title":"Metabolic brain changes across different levels of cognitive impairment in ALS: A 18F-FDG-PET study","volume":"92","author":"Canosa","year":"2020","journal-title":"J. Neurol. Neurosurg. Psychiatry"},{"key":"ref_51","doi-asserted-by":"crossref","first-page":"708","DOI":"10.1080\/21678421.2024.2361695","article-title":"ECAS correlation with metabolic alterations on FDG-PET imaging in ALS","volume":"25","author":"Foucher","year":"2024","journal-title":"Amyotroph. Lateral Scler. Front. Degener."},{"key":"ref_52","doi-asserted-by":"crossref","unstructured":"Shahriari, Y., Besio, W., Hosni, S.I., Hillary Zisk, A., Borgheai, S.B., Deligani, R.J., and McLinden, J. (2020). Electroencephalography. Neural Interface Engineering: Linking the Physical World and the Nervous System, Springer.","DOI":"10.1007\/978-3-030-41854-0_1"},{"key":"ref_53","doi-asserted-by":"crossref","unstructured":"Hong, K.S., Khan, M.J., and Hong, M.J. (2018). Feature Extraction and Classification Methods for Hybrid fNIRS-EEG Brain-Computer Interfaces. Front. Hum. Neurosci., 12.","DOI":"10.3389\/fnhum.2018.00246"},{"key":"ref_54","doi-asserted-by":"crossref","first-page":"S187","DOI":"10.1016\/j.neuroimage.2008.10.065","article-title":"Modeling the hemodynamic response function in fMRI: Efficiency, bias and mis-modeling","volume":"45","author":"Lindquist","year":"2009","journal-title":"NeuroImage"},{"key":"ref_55","doi-asserted-by":"crossref","first-page":"21","DOI":"10.1016\/j.neulet.2017.01.018","article-title":"Functional connectivity analysis using fNIRS in healthy subjects during prolonged simulated driving","volume":"640","author":"Xu","year":"2017","journal-title":"Neurosci. Lett."},{"key":"ref_56","doi-asserted-by":"crossref","first-page":"20","DOI":"10.1177\/1550059418782093","article-title":"Multimodal Neuroimaging: Basic Concepts and Classification of Neuropsychiatric Diseases","volume":"50","author":"Tulay","year":"2019","journal-title":"Clin. EEG Neurosci."},{"key":"ref_57","doi-asserted-by":"crossref","first-page":"107658","DOI":"10.1016\/j.compbiomed.2023.107658","article-title":"Multimodal pre-screening can predict BCI performance variability: A novel subject-specific experimental scheme","volume":"168","author":"Borgheai","year":"2024","journal-title":"Comput. Biol. Med."},{"key":"ref_58","doi-asserted-by":"crossref","first-page":"066036","DOI":"10.1088\/1741-2552\/ab456c","article-title":"Multimodal exploration of non-motor neural functions in ALS patients using simultaneous EEG-fNIRS recording","volume":"16","author":"Borgheai","year":"2019","journal-title":"J. Neural Eng."},{"key":"ref_59","doi-asserted-by":"crossref","first-page":"3129","DOI":"10.1109\/TNSRE.2020.3031495","article-title":"Electrical and Hemodynamic Neural Functions in People With ALS: An EEG-fNIRS Resting-State Study","volume":"28","author":"Deligani","year":"2020","journal-title":"IEEE Trans. Neural Syst. Rehabil. Eng."},{"key":"ref_60","doi-asserted-by":"crossref","first-page":"1169","DOI":"10.1007\/s12021-022-09595-2","article-title":"A Graph-Based Nonlinear Dynamic Characterization of Motor Imagery Toward an Enhanced Hybrid BCI","volume":"20","author":"Hosni","year":"2022","journal-title":"Neuroinformatics"},{"key":"ref_61","doi-asserted-by":"crossref","first-page":"580","DOI":"10.1136\/jnnp-2015-311945","article-title":"Increased functional connectivity common to symptomatic amyotrophic lateral sclerosis and those at genetic risk","volume":"87","author":"Menke","year":"2016","journal-title":"J. Neurol. Neurosurg. Psychiatry"},{"key":"ref_62","doi-asserted-by":"crossref","unstructured":"Luo, C., Chen, Q., Huang, R., Chen, X., Chen, K., Huang, X., Tang, H., Gong, Q., and Shang, H.F. (2012). Patterns of spontaneous brain activity in amyotrophic lateral sclerosis: A resting-state FMRI study. PLoS ONE, 7.","DOI":"10.1371\/journal.pone.0045470"},{"key":"ref_63","doi-asserted-by":"crossref","first-page":"3470","DOI":"10.1093\/brain\/awr279","article-title":"Integration of structural and functional magnetic resonance imaging in amyotrophic lateral sclerosis","volume":"134","author":"Douaud","year":"2011","journal-title":"Brain"},{"key":"ref_64","doi-asserted-by":"crossref","unstructured":"Verstraete, E., van den Heuvel, M.P., Veldink, J.H., Blanken, N., Mandl, R.C., Hulshoff Pol, H.E., and van den Berg, L.H. (2010). Motor network degeneration in amyotrophic lateral sclerosis: A structural and functional connectivity study. PLoS ONE, 5.","DOI":"10.1371\/journal.pone.0013664"},{"key":"ref_65","doi-asserted-by":"crossref","first-page":"419","DOI":"10.1016\/j.neurobiolaging.2012.04.015","article-title":"Divergent brain network connectivity in amyotrophic lateral sclerosis","volume":"34","author":"Agosta","year":"2013","journal-title":"Neurobiol. Aging"},{"key":"ref_66","doi-asserted-by":"crossref","first-page":"886","DOI":"10.1016\/j.neurobiolaging.2010.07.011","article-title":"Interaction between aging and neurodegeneration in amyotrophic lateral sclerosis","volume":"33","author":"Tedeschi","year":"2012","journal-title":"Neurobiol. Aging"},{"key":"ref_67","doi-asserted-by":"crossref","unstructured":"Li, F., Zhou, F., Huang, M., Gong, H., and Xu, R. (2017). Frequency-Specific Abnormalities of Intrinsic Functional Connectivity Strength among Patients with Amyotrophic Lateral Sclerosis: A Resting-State fMRI Study. Front. Aging Neurosci., 9.","DOI":"10.3389\/fnagi.2017.00351"},{"key":"ref_68","doi-asserted-by":"crossref","first-page":"147","DOI":"10.1016\/j.expneurol.2009.01.025","article-title":"Changes of resting state brain networks in amyotrophic lateral sclerosis","volume":"217","author":"Mohammadi","year":"2009","journal-title":"Exp. Neurol."},{"key":"ref_69","doi-asserted-by":"crossref","first-page":"38653","DOI":"10.1038\/srep38653","article-title":"EEG functional network topology is associated with disability in patients with amyotrophic lateral sclerosis","volume":"6","author":"Fraschini","year":"2016","journal-title":"Sci. Rep."},{"key":"ref_70","doi-asserted-by":"crossref","first-page":"666","DOI":"10.1016\/j.nicl.2016.09.020","article-title":"Interhemispheric connectivity in amyotrophic lateral sclerosis: A near-infrared spectroscopy and diffusion tensor imaging study","volume":"12","author":"Kopitzki","year":"2016","journal-title":"NeuroImage Clin."},{"key":"ref_71","doi-asserted-by":"crossref","first-page":"27","DOI":"10.1093\/cercor\/bhx301","article-title":"Characteristic Increases in EEG Connectivity Correlate With Changes of Structural MRI in Amyotrophic Lateral Sclerosis","volume":"29","author":"Nasseroleslami","year":"2019","journal-title":"Cereb. Cortex"},{"key":"ref_72","doi-asserted-by":"crossref","first-page":"4827","DOI":"10.1002\/hbm.24740","article-title":"Patterned functional network disruption in amyotrophic lateral sclerosis","volume":"40","author":"Dukic","year":"2019","journal-title":"Hum. Brain Mapp."},{"key":"ref_73","doi-asserted-by":"crossref","first-page":"383","DOI":"10.1016\/S0013-4694(97)00159-4","article-title":"Quantitative electroencephalography in amyotrophic lateral sclerosis","volume":"106","author":"Mai","year":"1998","journal-title":"Electroencephalogr. Clin. Neurophysiol."},{"key":"ref_74","doi-asserted-by":"crossref","first-page":"99","DOI":"10.4103\/0028-3886.15071","article-title":"Decreased electroencephalogram alpha band [8\u201313 Hz] power in amyotrophic lateral sclerosis patients: A study of alpha activity in an awake relaxed state","volume":"53","author":"Santhosh","year":"2005","journal-title":"Neurol. India"},{"key":"ref_75","doi-asserted-by":"crossref","first-page":"620","DOI":"10.1038\/nrneurol.2014.178","article-title":"Brain connectivity in neurodegenerative diseases\u2014From phenotype to proteinopathy","volume":"10","author":"Pievani","year":"2014","journal-title":"Nat. Rev. Neurol."},{"key":"ref_76","doi-asserted-by":"crossref","first-page":"433","DOI":"10.1146\/annurev-neuro-071013-014030","article-title":"The brain\u2019s default mode network","volume":"38","author":"Raichle","year":"2015","journal-title":"Annu. Rev. Neurosci."},{"key":"ref_77","doi-asserted-by":"crossref","first-page":"809","DOI":"10.1017\/S1355617712000562","article-title":"Selective attention and the three-process memory model for the interpretation of verbal free recall in amyotrophic lateral sclerosis","volume":"18","author":"Christidi","year":"2012","journal-title":"J. Int. Neuropsychol. Soc."},{"key":"ref_78","doi-asserted-by":"crossref","first-page":"201","DOI":"10.1038\/nrn755","article-title":"Control of goal-directed and stimulus-driven attention in the brain","volume":"3","author":"Corbetta","year":"2002","journal-title":"Nat. Rev. Neurosci."},{"key":"ref_79","doi-asserted-by":"crossref","first-page":"3328","DOI":"10.1152\/jn.90355.2008","article-title":"Evidence for a frontoparietal control system revealed by intrinsic functional connectivity","volume":"100","author":"Vincent","year":"2008","journal-title":"J. Neurophysiol."},{"key":"ref_80","doi-asserted-by":"crossref","first-page":"041003","DOI":"10.1088\/1741-2552\/aabfa5","article-title":"Electrophysiological correlates of neurodegeneration in motor and non-motor brain regions in amyotrophic lateral sclerosis-implications for brain-computer interfacing","volume":"15","author":"Kellmeyer","year":"2018","journal-title":"J. Neural Eng."},{"key":"ref_81","doi-asserted-by":"crossref","first-page":"16","DOI":"10.3109\/17482960902912399","article-title":"Event-related brain potentials in amyotrophic lateral sclerosis: A review of the international literature","volume":"11","author":"Raggi","year":"2010","journal-title":"Amyotroph. Lateral Scler."},{"key":"ref_82","doi-asserted-by":"crossref","first-page":"011001","DOI":"10.1088\/1741-2552\/aaf12e","article-title":"A comprehensive review of EEG-based brain-computer interface paradigms","volume":"16","author":"Abiri","year":"2019","journal-title":"J. Neural Eng."},{"key":"ref_83","doi-asserted-by":"crossref","unstructured":"Putze, F., Hesslinger, S., Tse, C.Y., Huang, Y., Herff, C., Guan, C., and Schultz, T. (2014). Hybrid fNIRS-EEG based classification of auditory and visual perception processes. Front. Neurosci., 8.","DOI":"10.3389\/fnins.2014.00373"},{"key":"ref_84","doi-asserted-by":"crossref","unstructured":"Riccio, A., Simione, L., Schettini, F., Pizzimenti, A., Inghilleri, M., Belardinelli, M.O., Mattia, D., and Cincotti, F. (2013). Attention and P300-based BCI performance in people with amyotrophic lateral sclerosis. Front. Hum. Neurosci., 7.","DOI":"10.3389\/fnhum.2013.00732"},{"key":"ref_85","doi-asserted-by":"crossref","first-page":"532","DOI":"10.1007\/s00415-008-0734-9","article-title":"Signs of impaired selective attention in patients with amyotrophic lateral sclerosis","volume":"255","author":"Pinkhardt","year":"2008","journal-title":"J. Neurol."},{"key":"ref_86","doi-asserted-by":"crossref","first-page":"056031","DOI":"10.1088\/1741-2552\/ab22ea","article-title":"An exploration of BCI performance variations in people with amyotrophic lateral sclerosis using longitudinal EEG data","volume":"16","author":"Shahriari","year":"2019","journal-title":"J. Neural Eng."},{"key":"ref_87","doi-asserted-by":"crossref","first-page":"035008","DOI":"10.1088\/1741-2560\/11\/3\/035008","article-title":"Influence of P300 latency jitter on event related potential-based brain-computer interface performance","volume":"11","author":"Arico","year":"2014","journal-title":"J. Neural Eng."},{"key":"ref_88","doi-asserted-by":"crossref","first-page":"2065","DOI":"10.1016\/j.neurobiolaging.2008.01.015","article-title":"Instability in the latency of P3a\/P3b brain potentials and cognitive function in aging","volume":"30","author":"Fjell","year":"2009","journal-title":"Neurobiol. Aging"},{"key":"ref_89","doi-asserted-by":"crossref","first-page":"153","DOI":"10.1111\/1469-8986.3720153","article-title":"An evaluation of methods for single-trial estimation of P3 latency","volume":"37","author":"Verleger","year":"2000","journal-title":"Psychophysiology"},{"key":"ref_90","doi-asserted-by":"crossref","first-page":"632","DOI":"10.1016\/j.clinph.2020.10.022","article-title":"P300 latency jitter and its correlates in people with amyotrophic lateral sclerosis","volume":"132","author":"Zisk","year":"2021","journal-title":"Clin. Neurophysiol."},{"key":"ref_91","doi-asserted-by":"crossref","first-page":"792","DOI":"10.1126\/science.887923","article-title":"Augmenting mental chronometry: The P300 as a measure of stimulus evaluation time","volume":"197","author":"Kutas","year":"1977","journal-title":"Science"},{"key":"ref_92","doi-asserted-by":"crossref","first-page":"801","DOI":"10.1111\/jcpp.12348","article-title":"Increased reaction time variability in attention-deficit hyperactivity disorder as a response-related phenomenon: Evidence from single-trial event-related potentials","volume":"56","author":"Saville","year":"2015","journal-title":"J. Child. Psychol. Psychiatry"},{"key":"ref_93","doi-asserted-by":"crossref","first-page":"1089","DOI":"10.1111\/psyp.12262","article-title":"The hard oddball: Effects of difficult response selection on stimulus-related P3 and on response-related negative potentials","volume":"51","author":"Verleger","year":"2014","journal-title":"Psychophysiology"},{"key":"ref_94","doi-asserted-by":"crossref","first-page":"221","DOI":"10.1002\/aur.2210","article-title":"Increased intra-subject variability of reaction times and single-trial event-related potential components in children with autism spectrum disorder","volume":"13","author":"Magnuson","year":"2020","journal-title":"Autism Res."},{"key":"ref_95","doi-asserted-by":"crossref","first-page":"322","DOI":"10.1016\/j.tics.2015.04.005","article-title":"Neural variability: Friend or foe?","volume":"19","author":"Dinstein","year":"2015","journal-title":"Trends Cogn. Sci."},{"key":"ref_96","doi-asserted-by":"crossref","first-page":"96","DOI":"10.1016\/0006-3223(94)91198-3","article-title":"Schizophrenics have fewer and smaller P300s: A single-trial analysis","volume":"35","author":"Ford","year":"1994","journal-title":"Biol. Psychiatry"},{"key":"ref_97","doi-asserted-by":"crossref","first-page":"450","DOI":"10.1016\/0168-5597(88)90049-4","article-title":"Latency variability of the components of auditory event-related potentials to infrequent stimuli in aging, Alzheimer-type dementia, and depression","volume":"71","author":"Patterson","year":"1988","journal-title":"Electroencephalogr. Clin. Neurophysiol.\/Evoked Potentials Sect."},{"key":"ref_98","doi-asserted-by":"crossref","first-page":"249","DOI":"10.1111\/j.1469-8986.1995.tb02953.x","article-title":"Sources of P300 attenuation after head injury: Single-trial amplitude, latency jitter, and EEG power","volume":"32","author":"Unsal","year":"1995","journal-title":"Psychophysiology"},{"key":"ref_99","doi-asserted-by":"crossref","unstructured":"Schettini, F., Risetti, M., Aric\u00f2, P., Formisano, R., Babiloni, F., Mattia, D., and Cincotti, F. (2015, January 25\u201329). P300 latency Jitter occurrence in patients with disorders of consciousness: Toward a better design for Brain Computer Interface applications. Proceedings of the 2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Milan, Italy.","DOI":"10.1109\/EMBC.2015.7319803"},{"key":"ref_100","doi-asserted-by":"crossref","first-page":"1042","DOI":"10.1111\/dmcn.12858","article-title":"Arithmetic difficulties in children with mild traumatic brain injury at the subacute stage of recovery","volume":"57","author":"Ghesquiere","year":"2015","journal-title":"Dev. Med. Child. Neurol."},{"key":"ref_101","doi-asserted-by":"crossref","first-page":"83","DOI":"10.1016\/j.clinph.2012.06.004","article-title":"Employing an active mental task to enhance the performance of auditory attention-based brain-computer interfaces","volume":"124","author":"Xu","year":"2013","journal-title":"Clin. Neurophysiol."},{"key":"ref_102","doi-asserted-by":"crossref","first-page":"9","DOI":"10.1002\/ar.b.20088","article-title":"Broca\u2019s arrow: Evolution, prediction, and language in the brain","volume":"289","author":"Cooper","year":"2006","journal-title":"Anat. Rec. B New Anat."},{"key":"ref_103","doi-asserted-by":"crossref","first-page":"378","DOI":"10.1016\/j.neubiorev.2017.01.045","article-title":"The neuropathological signature of bulbar-onset ALS: A systematic review","volume":"75","author":"Shellikeri","year":"2017","journal-title":"Neurosci. Biobehav. Rev."},{"key":"ref_104","doi-asserted-by":"crossref","first-page":"118","DOI":"10.4103\/0976-9668.101878","article-title":"Mirror neurons: Enigma of the metaphysical modular brain","volume":"3","author":"Acharya","year":"2012","journal-title":"J. Nat. Sci. Biol. Med."},{"key":"ref_105","doi-asserted-by":"crossref","first-page":"404","DOI":"10.1177\/1545968309354536","article-title":"The mirror neuron system: A neural substrate for methods in stroke rehabilitation","volume":"24","author":"Garrison","year":"2010","journal-title":"Neurorehabilit. Neural Repair"},{"key":"ref_106","doi-asserted-by":"crossref","first-page":"41","DOI":"10.1186\/1755-7682-6-41","article-title":"The mirror neuron system in post-stroke rehabilitation","volume":"6","author":"Carvalho","year":"2013","journal-title":"Int. Arch. Med."},{"key":"ref_107","doi-asserted-by":"crossref","first-page":"362","DOI":"10.1016\/S0093-934X(03)00358-4","article-title":"Motor functions of the Broca\u2019s region","volume":"89","author":"Binkofski","year":"2004","journal-title":"Brain Lang."},{"key":"ref_108","doi-asserted-by":"crossref","first-page":"428","DOI":"10.1016\/j.ergon.2011.03.005","article-title":"Event-related (De) synchronization (ERD\/ERS) during motor imagery tasks: Implications for brain\u2013computer interfaces","volume":"41","author":"Jeon","year":"2011","journal-title":"Int. J. Ind. Ergon."},{"key":"ref_109","doi-asserted-by":"crossref","first-page":"1842","DOI":"10.1016\/S1388-2457(99)00141-8","article-title":"Event-related EEG\/MEG synchronization and desynchronization: Basic principles","volume":"110","author":"Pfurtscheller","year":"1999","journal-title":"Clin. Neurophysiol."},{"key":"ref_110","doi-asserted-by":"crossref","first-page":"65","DOI":"10.1016\/S0304-3940(97)00889-6","article-title":"Motor imagery activates primary sensorimotor area in humans","volume":"239","author":"Pfurtscheller","year":"1997","journal-title":"Neurosci. Lett."},{"key":"ref_111","doi-asserted-by":"crossref","first-page":"1425","DOI":"10.1109\/TBME.2014.2312397","article-title":"Brain-computer interfaces using sensorimotor rhythms: Current state and future perspectives","volume":"61","author":"Yuan","year":"2014","journal-title":"IEEE Trans. Biomed. Eng."},{"key":"ref_112","doi-asserted-by":"crossref","unstructured":"Kasahara, T., Terasaki, K., Ogawa, Y., Ushiba, J., Aramaki, H., and Masakado, Y. (2012). The correlation between motor impairments and event-related desynchronization during motor imagery in ALS patients. BMC Neurosci., 13.","DOI":"10.1186\/1471-2202-13-66"},{"key":"ref_113","doi-asserted-by":"crossref","first-page":"016005","DOI":"10.1088\/1741-2552\/ab4c75","article-title":"An exploration of neural dynamics of motor imagery for people with amyotrophic lateral sclerosis","volume":"17","author":"Hosni","year":"2019","journal-title":"J. Neural Eng."},{"key":"ref_114","doi-asserted-by":"crossref","unstructured":"Aguilera, M., Bedia, M.G., Santos, B.A., and Barandiaran, X.E. (2013). The situated HKB model: How sensorimotor spatial coupling can alter oscillatory brain dynamics. Front. Comput. Neurosci., 7.","DOI":"10.3389\/fncom.2013.00117"},{"key":"ref_115","doi-asserted-by":"crossref","first-page":"145","DOI":"10.1016\/j.brainres.2007.07.044","article-title":"Cortical activation during motor imagery is reduced in Amyotrophic Lateral Sclerosis","volume":"1172","author":"Stanton","year":"2007","journal-title":"Brain Res."},{"key":"ref_116","doi-asserted-by":"crossref","first-page":"3290","DOI":"10.1093\/brain\/awt243","article-title":"Executive deficits, not processing speed relates to abnormalities in distinct prefrontal tracts in amyotrophic lateral sclerosis","volume":"136","author":"Pettit","year":"2013","journal-title":"Brain"},{"key":"ref_117","doi-asserted-by":"crossref","first-page":"734","DOI":"10.1016\/S0028-3932(99)00146-3","article-title":"Verbal fluency and executive dysfunction in amyotrophic lateral sclerosis (ALS)","volume":"38","author":"Abrahams","year":"2000","journal-title":"Neuropsychologia"},{"key":"ref_118","doi-asserted-by":"crossref","first-page":"303","DOI":"10.3109\/17482961003727954","article-title":"Detecting frontotemporal dysfunction in ALS: Utility of the ALS Cognitive Behavioral Screen (ALS-CBS)","volume":"11","author":"Woolley","year":"2010","journal-title":"Amyotroph. Lateral Scler."},{"key":"ref_119","doi-asserted-by":"crossref","first-page":"290","DOI":"10.1016\/j.cortex.2016.03.019","article-title":"Mu suppression\u2014A good measure of the human mirror neuron system?","volume":"82","author":"Hobson","year":"2016","journal-title":"Cortex"},{"key":"ref_120","doi-asserted-by":"crossref","first-page":"160662","DOI":"10.1098\/rsos.160662","article-title":"The interpretation of mu suppression as an index of mirror neuron activity: Past, present and future","volume":"4","author":"Hobson","year":"2017","journal-title":"R. Soc. Open Sci."},{"key":"ref_121","doi-asserted-by":"crossref","first-page":"158","DOI":"10.1162\/jocn.2007.19.1.158","article-title":"Distinction between perceptual and attentional processing in working memory tasks: A study of phase-locked and induced oscillatory brain dynamics","volume":"19","author":"Deiber","year":"2007","journal-title":"J. Cogn. Neurosci."},{"key":"ref_122","doi-asserted-by":"crossref","first-page":"121","DOI":"10.1038\/nrn3137","article-title":"Spectral fingerprints of large-scale neuronal interactions","volume":"13","author":"Siegel","year":"2012","journal-title":"Nat. Rev. Neurosci."},{"key":"ref_123","doi-asserted-by":"crossref","first-page":"390","DOI":"10.1016\/j.neuron.2014.12.018","article-title":"Visual areas exert feedforward and feedback influences through distinct frequency channels","volume":"85","author":"Bastos","year":"2015","journal-title":"Neuron"},{"key":"ref_124","doi-asserted-by":"crossref","first-page":"156","DOI":"10.1016\/j.conb.2010.02.015","article-title":"Beta-band oscillations\u2014Signalling the status quo?","volume":"20","author":"Engel","year":"2010","journal-title":"Curr. Opin. Neurobiol."},{"key":"ref_125","doi-asserted-by":"crossref","first-page":"489","DOI":"10.1523\/JNEUROSCI.3678-15.2016","article-title":"Transitions between Multiband Oscillatory Patterns Characterize Memory-Guided Perceptual Decisions in Prefrontal Circuits","volume":"36","author":"Wimmer","year":"2016","journal-title":"J. Neurosci."},{"key":"ref_126","doi-asserted-by":"crossref","unstructured":"Spitzer, B., and Haegens, S. (2017). Beyond the Status Quo: A Role for Beta Oscillations in Endogenous Content (Re)Activation. eNeuro, 4.","DOI":"10.1523\/ENEURO.0170-17.2017"},{"key":"ref_127","doi-asserted-by":"crossref","unstructured":"Borgheai, S.B., McLinden, J., Mankodiya, K., and Shahriari, Y. (2020). Frontal Functional Network Disruption Associated with Amyotrophic Lateral Sclerosis: An fNIRS-Based Minimum Spanning Tree Analysis. Front. Neurosci., 14.","DOI":"10.3389\/fnins.2020.613990"},{"key":"ref_128","doi-asserted-by":"crossref","unstructured":"Yu, X., Ji, C., and Shao, A. (2020). Neurovascular Unit Dysfunction and Neurodegenerative Disorders. Front. Neurosci., 14.","DOI":"10.3389\/fnins.2020.00334"},{"key":"ref_129","doi-asserted-by":"crossref","first-page":"916","DOI":"10.1523\/JNEUROSCI.2353-05.2006","article-title":"Dorsolateral prefrontal cortex promotes long-term memory formation through its role in working memory organization","volume":"26","author":"Blumenfeld","year":"2006","journal-title":"J. Neurosci."},{"key":"ref_130","doi-asserted-by":"crossref","first-page":"142","DOI":"10.1016\/j.cortex.2017.06.023","article-title":"Multidimensional apathy and executive dysfunction in amyotrophic lateral sclerosis","volume":"94","author":"Radakovic","year":"2017","journal-title":"Cortex"},{"key":"ref_131","doi-asserted-by":"crossref","first-page":"17","DOI":"10.1007\/s11065-006-9002-x","article-title":"Executive function and the frontal lobes: A meta-analytic review","volume":"16","author":"Alvarez","year":"2006","journal-title":"Neuropsychol. Rev."},{"key":"ref_132","doi-asserted-by":"crossref","first-page":"213","DOI":"10.1093\/brain\/awn262","article-title":"Graph theoretical analysis of magnetoencephalographic functional connectivity in Alzheimer\u2019s disease","volume":"132","author":"Stam","year":"2009","journal-title":"Brain"},{"key":"ref_133","doi-asserted-by":"crossref","first-page":"683","DOI":"10.1038\/nrn3801","article-title":"Modern network science of neurological disorders","volume":"15","author":"Stam","year":"2014","journal-title":"Nat. Rev. Neurosci."},{"key":"ref_134","doi-asserted-by":"crossref","first-page":"9514369","DOI":"10.1155\/2017\/9514369","article-title":"A resting-state brain functional network study in MDD based on minimum spanning tree analysis and the hierarchical clustering","volume":"2017","author":"Li","year":"2017","journal-title":"Complexity"},{"key":"ref_135","doi-asserted-by":"crossref","first-page":"3165","DOI":"10.1016\/j.clinph.2016.06.023","article-title":"Graph analysis of EEG resting state functional networks in dyslexic readers","volume":"127","author":"Zaric","year":"2016","journal-title":"Clin. Neurophysiol."},{"key":"ref_136","doi-asserted-by":"crossref","unstructured":"Shahriari, Y., Sellers, E.W., McCane, L.M., Vaughan, T.M., and Krusienski, D.J. (2015, January 22\u201324). Directional brain functional interaction analysis in patients with amyotrophic lateral sclerosis. Proceedings of the 2015 7th International IEEE\/EMBS Conference on Neural Engineering (NER), Montpellier, France.","DOI":"10.1109\/NER.2015.7146788"},{"key":"ref_137","first-page":"19","article-title":"Preservation of structural brain network hubs is associated with less severe post-stroke aphasia","volume":"34","author":"Gleichgerrcht","year":"2016","journal-title":"Restor. Neurol. Neurosci."},{"key":"ref_138","doi-asserted-by":"crossref","first-page":"90","DOI":"10.1016\/j.brainres.2011.09.010","article-title":"A neurophysiological analysis of working memory in amyotrophic lateral sclerosis","volume":"1421","author":"Hammer","year":"2011","journal-title":"Brain Res."},{"key":"ref_139","doi-asserted-by":"crossref","first-page":"218","DOI":"10.1016\/j.conb.2004.03.008","article-title":"Arithmetic and the brain","volume":"14","author":"Dehaene","year":"2004","journal-title":"Curr. Opin. Neurobiol."},{"key":"ref_140","doi-asserted-by":"crossref","unstructured":"Klein, E., Moeller, K., Glauche, V., Weiller, C., and Willmes, K. (2013). Processing pathways in mental arithmetic\u2014Evidence from probabilistic fiber tracking. PLoS ONE, 8.","DOI":"10.1371\/journal.pone.0055455"},{"key":"ref_141","doi-asserted-by":"crossref","first-page":"793","DOI":"10.1002\/hbm.20309","article-title":"Relationship between regional hemodynamic activity and simultaneously recorded EEG-theta associated with mental arithmetic-induced workload","volume":"28","author":"Sammer","year":"2007","journal-title":"Hum. Brain Mapp."},{"key":"ref_142","doi-asserted-by":"crossref","first-page":"016003","DOI":"10.1088\/1741-2560\/11\/1\/016003","article-title":"Dynamic topographical pattern classification of multichannel prefrontal NIRS signals: II. Online differentiation of mental arithmetic and rest","volume":"11","author":"Schudlo","year":"2014","journal-title":"J. Neural Eng."},{"key":"ref_143","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/j.nicl.2015.06.011","article-title":"Individual classification of ADHD children by right prefrontal hemodynamic responses during a go\/no-go task as assessed by fNIRS","volume":"9","author":"Monden","year":"2015","journal-title":"NeuroImage Clin."},{"key":"ref_144","doi-asserted-by":"crossref","first-page":"1367","DOI":"10.1093\/brain\/122.7.1367","article-title":"Right prefrontal cortex and episodic memory retrieval: A functional MRI test of the monitoring hypothesis","volume":"122","author":"Henson","year":"1999","journal-title":"Brain"},{"key":"ref_145","doi-asserted-by":"crossref","first-page":"5222","DOI":"10.1038\/s41598-017-05378-x","article-title":"Mental workload and neural efficiency quantified in the prefrontal cortex using fNIRS","volume":"7","author":"Causse","year":"2017","journal-title":"Sci. Rep."},{"key":"ref_146","doi-asserted-by":"crossref","first-page":"60","DOI":"10.1002\/hbm.20138","article-title":"Beyond hypofrontality: A quantitative meta-analysis of functional neuroimaging studies of working memory in schizophrenia","volume":"25","author":"Glahn","year":"2005","journal-title":"Hum. Brain Mapp."},{"key":"ref_147","doi-asserted-by":"crossref","first-page":"2271","DOI":"10.1212\/WNL.0000000000002671","article-title":"Depression in amyotrophic lateral sclerosis","volume":"86","author":"Roos","year":"2016","journal-title":"Neurology"},{"key":"ref_148","doi-asserted-by":"crossref","first-page":"1031","DOI":"10.1212\/WNL.0000000000002465","article-title":"Depression in ALS in a large self-reporting cohort","volume":"86","author":"Thakore","year":"2016","journal-title":"Neurology"},{"key":"ref_149","doi-asserted-by":"crossref","first-page":"993","DOI":"10.1111\/j.1468-1331.2007.01843.x","article-title":"Prevalence of depression in a 12-month consecutive sample of patients with ALS","volume":"14","author":"Wicks","year":"2007","journal-title":"Eur. J. Neurol."},{"key":"ref_150","doi-asserted-by":"crossref","first-page":"1249","DOI":"10.1002\/hbm.23452","article-title":"White matter structural network abnormalities underlie executive dysfunction in amyotrophic lateral sclerosis","volume":"38","author":"Dimond","year":"2017","journal-title":"Hum. Brain Mapp."},{"key":"ref_151","doi-asserted-by":"crossref","first-page":"237","DOI":"10.1002\/hbm.23357","article-title":"Altered cortical beta-band oscillations reflect motor system degeneration in amyotrophic lateral sclerosis","volume":"38","author":"Proudfoot","year":"2017","journal-title":"Hum. Brain Mapp."},{"key":"ref_152","doi-asserted-by":"crossref","first-page":"763","DOI":"10.1002\/cpt.1542","article-title":"Invasive and Noninvasive Brain Stimulation in Parkinson\u2019s Disease: Clinical Effects and Future Perspectives","volume":"106","author":"Chen","year":"2019","journal-title":"Clin. Pharmacol. Ther."},{"key":"ref_153","doi-asserted-by":"crossref","first-page":"107","DOI":"10.1162\/jocn_a_01183","article-title":"Establishing a Right Frontal Beta Signature for Stopping Action in Scalp EEG: Implications for Testing Inhibitory Control in Other Task Contexts","volume":"30","author":"Wagner","year":"2018","journal-title":"J. Cogn. Neurosci."},{"key":"ref_154","doi-asserted-by":"crossref","first-page":"245","DOI":"10.3109\/17482968.2011.636050","article-title":"Does interneuronal dysfunction contribute to neurodegeneration in amyotrophic lateral sclerosis?","volume":"13","author":"Turner","year":"2012","journal-title":"Amyotroph. Lateral Scler."},{"key":"ref_155","doi-asserted-by":"crossref","first-page":"621","DOI":"10.1093\/brain\/awab322","article-title":"Resting-state EEG reveals four subphenotypes of amyotrophic lateral sclerosis","volume":"145","author":"Dukic","year":"2022","journal-title":"Brain"},{"key":"ref_156","doi-asserted-by":"crossref","first-page":"4386","DOI":"10.1002\/hbm.22481","article-title":"Correlation between structural and functional connectivity impairment in amyotrophic lateral sclerosis","volume":"35","author":"Schmidt","year":"2014","journal-title":"Hum. Brain Mapp."},{"key":"ref_157","doi-asserted-by":"crossref","unstructured":"Smallwood Shoukry, R.F., Clark, M.G., and Floeter, M.K. (2020). Resting State Functional Connectivity Is Decreased Globally Across the C9orf72 Mutation Spectrum. Front. Neurol., 11.","DOI":"10.3389\/fneur.2020.598474"},{"key":"ref_158","doi-asserted-by":"crossref","first-page":"8875","DOI":"10.1038\/s41598-017-08857-3","article-title":"Expansion of C9ORF72 in amyotrophic lateral sclerosis correlates with brain-computer interface performance","volume":"7","author":"Geronimo","year":"2017","journal-title":"Sci. Rep."},{"key":"ref_159","doi-asserted-by":"crossref","unstructured":"Dukic, S., van Veenhuijzen, K., Michielsen, A., Westeneng, H.-J., and van den Berg, L.H. (2025). Resting-state EEG oscillations are reduced in asymptomatic C9orf72 repeat expansion carriers. medRxiv.","DOI":"10.1101\/2025.08.19.25333576"},{"key":"ref_160","doi-asserted-by":"crossref","first-page":"e70275","DOI":"10.1002\/hbm.70275","article-title":"Altered EEG Response of the Parietal Network in Asymptomatic C9orf72 Carriers","volume":"46","author":"Dukic","year":"2025","journal-title":"Hum. Brain Mapp."},{"key":"ref_161","doi-asserted-by":"crossref","first-page":"e70345","DOI":"10.1002\/hbm.70345","article-title":"Divergent Brain Network Activity in Asymptomatic C9orf72 and SOD1 Variant Carriers Compared With Established Amyotrophic Lateral Sclerosis","volume":"46","author":"Trubshaw","year":"2025","journal-title":"Hum. Brain Mapp."},{"key":"ref_162","doi-asserted-by":"crossref","first-page":"507","DOI":"10.1007\/s00415-025-13229-3","article-title":"Neurophysiological biomarkers of networks impairment in amyotrophic lateral sclerosis","volume":"272","author":"Fasano","year":"2025","journal-title":"J. Neurol."},{"key":"ref_163","doi-asserted-by":"crossref","first-page":"1169","DOI":"10.1093\/brain\/awae317","article-title":"Direct interrogation of cortical interneuron circuits in amyotrophic lateral sclerosis","volume":"148","author":"Menon","year":"2025","journal-title":"Brain"},{"key":"ref_164","doi-asserted-by":"crossref","first-page":"802","DOI":"10.1016\/j.clinph.2019.01.001","article-title":"Clinical utility and prospective of TMS-EEG","volume":"130","author":"Tremblay","year":"2019","journal-title":"Clin. Neurophysiol."},{"key":"ref_165","doi-asserted-by":"crossref","first-page":"IMAG.a.974","DOI":"10.1162\/IMAG.a.974","article-title":"Multimodal fNIRS-EEG sensor fusion: Review of data-driven methods and perspective for naturalistic brain imaging","volume":"3","author":"Codina","year":"2025","journal-title":"Imaging Neurosci."},{"key":"ref_166","doi-asserted-by":"crossref","first-page":"102595","DOI":"10.1016\/j.bspc.2021.102595","article-title":"A systematic review on hybrid EEG\/fNIRS in brain-computer interface","volume":"68","author":"Liu","year":"2021","journal-title":"Biomed. Signal Process. Control"},{"key":"ref_167","doi-asserted-by":"crossref","unstructured":"Chen, J., Yu, K., Bi, Y., Ji, X., and Zhang, D. (2024). Strategic Integration: A Cross-Disciplinary Review of the fNIRS-EEG Dual-Modality Imaging System for Delivering Multimodal Neuroimaging to Applications. Brain Sci., 14.","DOI":"10.3390\/brainsci14101022"},{"key":"ref_168","doi-asserted-by":"crossref","unstructured":"Li, R., Yang, D., Fang, F., Hong, K.-S., Reiss, A.L., and Zhang, Y. (2022). Concurrent fNIRS and EEG for Brain Function Investigation: A Systematic, Methodology-Focused Review. Sensors, 22.","DOI":"10.3390\/s22155865"},{"key":"ref_169","unstructured":"Yu, B., Zhang, X., Chen, G., and Li, F. EEG and fNIRS-Based Emotion Recognition Using an Improved Graph Isomorphism Network. Neural Computing for Advanced Applications, Springer."},{"key":"ref_170","doi-asserted-by":"crossref","first-page":"106498","DOI":"10.1016\/j.compbiomed.2022.106498","article-title":"A dynamical graph-based feature extraction approach to enhance mental task classification in brain\u2013computer interfaces","volume":"153","author":"Zhu","year":"2023","journal-title":"Comput. Biol. Med."},{"key":"ref_171","doi-asserted-by":"crossref","first-page":"3963","DOI":"10.1038\/s41380-025-02974-6","article-title":"Deep graph learning of multimodal brain networks defines treatment-predictive signatures in major depression","volume":"30","author":"Jiao","year":"2025","journal-title":"Mol. Psychiatry"}],"container-title":["Cells"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2073-4409\/15\/1\/37\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,12,26]],"date-time":"2025-12-26T02:19:43Z","timestamp":1766715583000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2073-4409\/15\/1\/37"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,12,24]]},"references-count":171,"journal-issue":{"issue":"1","published-online":{"date-parts":[[2026,1]]}},"alternative-id":["cells15010037"],"URL":"https:\/\/doi.org\/10.3390\/cells15010037","relation":{},"ISSN":["2073-4409"],"issn-type":[{"value":"2073-4409","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025,12,24]]}}}