{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,25]],"date-time":"2026-09-25T18:12:25Z","timestamp":1790359945086,"version":"4.1.0"},"reference-count":78,"publisher":"Springer Science and Business Media LLC","issue":"1","license":[{"start":{"date-parts":[[2024,6,18]],"date-time":"2024-06-18T00:00:00Z","timestamp":1718668800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0"},{"start":{"date-parts":[[2024,6,18]],"date-time":"2024-06-18T00:00:00Z","timestamp":1718668800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0"}],"funder":[{"DOI":"10.13039\/501100001665","name":"Agence Nationale de la Recherche","doi-asserted-by":"publisher","award":["ANR-17-EURE-0017"],"award-info":[{"award-number":["ANR-17-EURE-0017"]}],"id":[{"id":"10.13039\/501100001665","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001665","name":"Agence Nationale de la Recherche","doi-asserted-by":"publisher","award":["ANR-11-JSH2-006-1"],"award-info":[{"award-number":["ANR-11-JSH2-006-1"]}],"id":[{"id":"10.13039\/501100001665","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Commun Biol"],"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:p>Cognitive reserve is the ability to actively cope with brain deterioration and delay cognitive decline in neurodegenerative diseases. It operates by optimizing performance through differential recruitment of brain networks or alternative cognitive strategies. We investigated cognitive reserve using Huntington\u2019s disease (HD) as a genetic model of neurodegeneration to compare premanifest HD, manifest HD, and controls. Contrary to manifest HD, premanifest HD behave as controls despite neurodegeneration. By decomposing the cognitive processes underlying decision making, drift diffusion models revealed a response profile that differs progressively from controls to premanifest and manifest HD. Here, we show that cognitive reserve in premanifest HD is supported by an increased rate of evidence accumulation compensating for the abnormal increase in the amount of evidence needed to make a decision. This higher rate is associated with left superior parietal and hippocampal hypertrophy, and exhibits a bell shape over the course of disease progression, characteristic of compensation.<\/jats:p>","DOI":"10.1038\/s42003-024-06416-x","type":"journal-article","created":{"date-parts":[[2024,6,18]],"date-time":"2024-06-18T14:16:10Z","timestamp":1718720170000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":7,"title":["Cognitive reserve involves decision making and is associated with left parietal and hippocampal hypertrophy in neurodegeneration"],"prefix":"10.1038","volume":"7","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-2511-9070","authenticated-orcid":false,"given":"Lorna","family":"Le Stanc","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Marine","family":"Lunven","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Maria","family":"Giavazzi","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Agn\u00e8s","family":"Sliwinski","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Katia","family":"Youssov","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3000-2210","authenticated-orcid":false,"given":"Anne-Catherine","family":"Bachoud-L\u00e9vi","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6611-0742","authenticated-orcid":false,"given":"Charlotte","family":"Jacquemot","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2024,6,18]]},"reference":[{"key":"6416_CR1","doi-asserted-by":"publisher","first-page":"791","DOI":"10.1016\/S1474-4422(09)70170-X","volume":"8","author":"SJ Tabrizi","year":"2009","unstructured":"Tabrizi, S. J. et al. Biological and clinical manifestations of Huntington\u2019s disease in the longitudinal TRACK-HD study: cross-sectional analysis of baseline data. Lancet. Neurol. 8, 791\u2013801 (2009).","journal-title":"Lancet. Neurol."},{"key":"6416_CR2","doi-asserted-by":"publisher","first-page":"673","DOI":"10.1002\/mds.25864","volume":"29","author":"M Papoutsi","year":"2014","unstructured":"Papoutsi, M., Labuschagne, I., Tabrizi, S. J. & Stout, J. C. The cognitive burden in Huntington\u2019s disease: pathology, phenotype, and mechanisms of compensation. Mov. Disord. 29, 673\u2013683 (2014).","journal-title":"Mov. Disord."},{"key":"6416_CR3","doi-asserted-by":"publisher","first-page":"155","DOI":"10.1016\/j.neubiorev.2018.03.003","volume":"88","author":"MV Soloveva","year":"2018","unstructured":"Soloveva, M. V., Jamadar, S. D., Poudel, G. & Georgiou-Karistianis, N. A critical review of brain and cognitive reserve in Huntington\u2019s disease. Neurosci. Biobehav Rev. 88, 155\u2013169 (2018).","journal-title":"Neurosci. Biobehav Rev."},{"key":"6416_CR4","doi-asserted-by":"publisher","first-page":"2156","DOI":"10.1093\/brain\/awy122","volume":"141","author":"S Gregory","year":"2018","unstructured":"Gregory, S. et al. Testing a longitudinal compensation model in premanifest Huntington\u2019s disease. Brain 141, 2156\u20132166 (2018).","journal-title":"Brain"},{"key":"6416_CR5","doi-asserted-by":"publisher","first-page":"124","DOI":"10.1016\/j.neurobiolaging.2019.03.022","volume":"83","author":"Y Stern","year":"2019","unstructured":"Stern, Y., Barnes, C. A., Grady, C., Jones, R. N. & Raz, N. Brain reserve, cognitive reserve, compensation, and maintenance: operationalization, validity, and mechanisms of cognitive resilience. Neurobiol. Aging 83, 124\u2013129 (2019).","journal-title":"Neurobiol. Aging"},{"key":"6416_CR6","doi-asserted-by":"publisher","first-page":"502","DOI":"10.1016\/j.tics.2013.08.012","volume":"17","author":"D Barulli","year":"2013","unstructured":"Barulli, D. & Stern, Y. Efficiency, capacity, compensation, maintenance, plasticity: emerging concepts in cognitive reserve. Trends Cogn. Sci. 17, 502\u2013509 (2013).","journal-title":"Trends Cogn. Sci."},{"key":"6416_CR7","doi-asserted-by":"publisher","first-page":"31","DOI":"10.1016\/S1474-4422(10)70276-3","volume":"10","author":"SJ Tabrizi","year":"2011","unstructured":"Tabrizi, S. J. et al. Biological and clinical changes in premanifest and early stage Huntington\u2019s disease in the TRACK-HD study: the 12\u2009month longitudinal analysis. Lancet Neurol. 10, 31\u201342 (2011).","journal-title":"Lancet Neurol."},{"key":"6416_CR8","doi-asserted-by":"publisher","first-page":"267","DOI":"10.1111\/j.1399-0004.2004.00241.x","volume":"65","author":"DR Langbehn","year":"2004","unstructured":"Langbehn, D. R., Brinkman, R. R., Falush, D., Paulsen, J. S. & Hayden, M. R. A new model for prediction of the age of onset and penetrance for Huntington\u2019s disease based on CAG length. Clin. Genet. 65, 267\u2013277 (2004).","journal-title":"Clin. Genet."},{"key":"6416_CR9","doi-asserted-by":"publisher","first-page":"541","DOI":"10.1002\/mdc3.12808","volume":"6","author":"CA Ross","year":"2019","unstructured":"Ross, C. A. et al. Movement disorder society task force viewpoint: Huntington\u2019s disease diagnostic categories. Mov. Disord. Clin. Pr. 6, 541\u2013546 (2019).","journal-title":"Mov. Disord. Clin. Pr."},{"key":"6416_CR10","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1371\/journal.pone.0114569","volume":"9","author":"K Malejko","year":"2014","unstructured":"Malejko, K. et al. Prodromal Huntington disease as a model for functional compensation of early neurodegeneration. PLoS One 9, 1\u201314 (2014).","journal-title":"PLoS One"},{"key":"6416_CR11","doi-asserted-by":"publisher","first-page":"161","DOI":"10.1093\/brain\/awv331","volume":"139","author":"J Zhang","year":"2016","unstructured":"Zhang, J. et al. Different decision deficits impair response inhibition in progressive supranuclear palsy and Parkinson\u2019s disease. Brain 139, 161\u2013173 (2016).","journal-title":"Brain"},{"key":"6416_CR12","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1080\/02643294.2017.1282447","volume":"34","author":"R Anders","year":"2017","unstructured":"Anders, R., Ri\u00e8s, S., Van Maanen, L. & Alario, F. X. Lesions to the left lateral prefrontal cortex impair decision threshold adjustment for lexical selection. Cogn. Neuropsychol. 34, 1\u201320 (2017).","journal-title":"Cogn. Neuropsychol."},{"key":"6416_CR13","doi-asserted-by":"publisher","first-page":"e0148409","DOI":"10.1371\/journal.pone.0148409","volume":"11","author":"TV Wiecki","year":"2016","unstructured":"Wiecki, T. V. et al. A computational cognitive biomarker for early-stage Huntington\u2019s disease. PLoS One 11, e0148409 (2016).","journal-title":"PLoS One"},{"key":"6416_CR14","doi-asserted-by":"publisher","first-page":"91","DOI":"10.1016\/j.cortex.2023.04.016","volume":"166","author":"L Le Stanc","year":"2023","unstructured":"Le Stanc, L. et al. Language disorders in patients with striatal lesions: deciphering the role of the striatum in language performance. Cortex 166, 91\u2013106 (2023).","journal-title":"Cortex"},{"key":"6416_CR15","doi-asserted-by":"publisher","first-page":"71","DOI":"10.1016\/j.cortex.2017.07.022","volume":"100","author":"W Hinzen","year":"2018","unstructured":"Hinzen, W. et al. A systematic linguistic profile of spontaneous narrative speech in pre-symptomatic and early stage Huntington\u2019s disease. Cortex 100, 71\u201383 (2018).","journal-title":"Cortex"},{"key":"6416_CR16","doi-asserted-by":"publisher","first-page":"2870","DOI":"10.1093\/brain\/awn242","volume":"131","author":"R de Diego Balaguer","year":"2008","unstructured":"de Diego Balaguer, R. et al. Striatal degeneration impairs language learning: evidence from Huntington \u2019s disease. Brain 131, 2870\u20132881 (2008).","journal-title":"Brain"},{"key":"6416_CR17","doi-asserted-by":"publisher","first-page":"248","DOI":"10.1016\/j.bandl.2012.04.001","volume":"121","author":"D N\u00e9meth","year":"2012","unstructured":"N\u00e9meth, D. et al. Language deficits in pre-symptomatic Huntington\u2019s disease: evidence from Hungarian. Brain Lang. 121, 248\u2013253 (2012).","journal-title":"Brain Lang."},{"key":"6416_CR18","doi-asserted-by":"publisher","DOI":"10.1016\/j.cognition.2021.104785","volume":"213","author":"C Jacquemot","year":"2021","unstructured":"Jacquemot, C. & Bachoud-L\u00e9vi, A. C. Striatum and language processing: where do we stand? Cognition 213, 104785 (2021).","journal-title":"Cognition"},{"key":"6416_CR19","doi-asserted-by":"publisher","first-page":"189","DOI":"10.1016\/j.cortex.2018.08.031","volume":"109","author":"M Giavazzi","year":"2018","unstructured":"Giavazzi, M. et al. The role of the striatum in linguistic selection: evidence from Huntington\u2019s disease and computational modeling. Cortex 109, 189\u2013204 (2018).","journal-title":"Cortex"},{"key":"6416_CR20","doi-asserted-by":"publisher","first-page":"873","DOI":"10.1162\/neco.2008.12-06-420","volume":"20","author":"R Ratcliff","year":"2008","unstructured":"Ratcliff, R. & Mckoon, G. The diffusion decision model: theory and data for two-choice decision tasks. Neural. Comput. 20, 873\u2013922 (2008).","journal-title":"Neural. Comput."},{"key":"6416_CR21","doi-asserted-by":"publisher","first-page":"872","DOI":"10.1016\/j.neuroscience.2014.07.031","volume":"277","author":"MJ Mulder","year":"2014","unstructured":"Mulder, M. J., van Maanen, L. & Forstmann, B. U. Perceptual decision neurosciences\u2014a model-based review. Neuroscience 277, 872\u2013884 (2014).","journal-title":"Neuroscience"},{"key":"6416_CR22","doi-asserted-by":"publisher","first-page":"136","DOI":"10.1002\/mds.870110204","volume":"11","author":"Huntington Study Group","year":"1996","unstructured":"Huntington Study Group Unified Huntington\u2019s disease rating scale: reliability and consistency. Mov. Disord. 11, 136\u2013142 (1996).","journal-title":"Mov. Disord."},{"key":"6416_CR23","doi-asserted-by":"publisher","first-page":"203","DOI":"10.1016\/S0887-6177(03)00039-8","volume":"19","author":"TN Tombaugh","year":"2004","unstructured":"Tombaugh, T. N. Trail making test A and B: normative data stratified by age and education. Arch. Clin. Neuropsychol. 19, 203\u2013214 (2004).","journal-title":"Arch. Clin. Neuropsychol."},{"key":"6416_CR24","doi-asserted-by":"publisher","first-page":"59","DOI":"10.1037\/0033-295X.85.2.59","volume":"85","author":"R Ratcliff","year":"1978","unstructured":"Ratcliff, R. A theory of memory retrieval. Psychol. Rev. 85, 59\u2013108 (1978).","journal-title":"Psychol. Rev."},{"key":"6416_CR25","doi-asserted-by":"publisher","first-page":"352","DOI":"10.1002\/mdc3.13148","volume":"8","author":"M Oosterloo","year":"2021","unstructured":"Oosterloo, M. et al. Disease onset in Huntington\u2019s disease: when is the conversion? Mov. Disord. Clin. Pr. 8, 352\u2013360 (2021).","journal-title":"Mov. Disord. Clin. Pr."},{"key":"6416_CR26","doi-asserted-by":"publisher","first-page":"637","DOI":"10.1016\/S1474-4422(13)70088-7","volume":"12","author":"SJ Tabrizi","year":"2013","unstructured":"Tabrizi, S. J. et al. Predictors of phenotypic progression and disease onset in premanifest and early-stage Huntington\u2019s disease in the TRACK-HD study: analysis of 36\u2009month observational data. Lancet Neurol. 12, 637\u2013649 (2013).","journal-title":"Lancet Neurol."},{"key":"6416_CR27","doi-asserted-by":"publisher","first-page":"1763","DOI":"10.1002\/mds.22601","volume":"24","author":"KM Biglan","year":"2009","unstructured":"Biglan, K. M. et al. Motor abnormalities in premanifest persons with Huntington\u2019s disease: the PREDICT-HD study. Mov. Disord. 24, 1763\u20131772 (2009).","journal-title":"Mov. Disord."},{"key":"6416_CR28","doi-asserted-by":"publisher","first-page":"438","DOI":"10.3758\/BF03196302","volume":"9","author":"R Ratcliff","year":"2002","unstructured":"Ratcliff, R. & Tuerlinckx, F. Estimating parameters of the diffusion model: approaches to dealing with contaminant reaction times and parameter variability. Psychon. Bull. Rev. 9, 438\u2013481 (2002).","journal-title":"Psychon. Bull. Rev."},{"key":"6416_CR29","doi-asserted-by":"publisher","first-page":"133","DOI":"10.1076\/jcen.24.2.133.998","volume":"24","author":"JS Snowden","year":"2002","unstructured":"Snowden, J. S., Craufurd, D., Thompson, J. & Neary, D. Psychomotor, executive, and memory function in preclinical Huntington\u2019s disease. J. Clin. Exp. Neuropsychol. 24, 133\u2013145 (2002).","journal-title":"J. Clin. Exp. Neuropsychol."},{"key":"6416_CR30","doi-asserted-by":"publisher","first-page":"687","DOI":"10.1136\/jnnp-2011-301940","volume":"83","author":"JC Stout","year":"2012","unstructured":"Stout, J. C. et al. Evaluation of longitudinal 12 and 24\u2009month cognitive outcomes in premanifest and early Huntington\u2019s disease. J. Neurol. Neurosurg. Psychiatry 83, 687\u2013694 (2012).","journal-title":"J. Neurol. Neurosurg. Psychiatry"},{"key":"6416_CR31","doi-asserted-by":"publisher","first-page":"53","DOI":"10.1002\/ana.20684","volume":"59","author":"A Feigin","year":"2006","unstructured":"Feigin, A. et al. Preclinical Huntington\u2019s disease: compensatory brain responses during learning. Ann. Neurol. 59, 53\u201359 (2006).","journal-title":"Ann. Neurol."},{"key":"6416_CR32","doi-asserted-by":"publisher","first-page":"1624","DOI":"10.1093\/brain\/awp081","volume":"132","author":"S Kl\u00f6ppel","year":"2009","unstructured":"Kl\u00f6ppel, S. et al. Functional compensation of motor function in pre-symptomatic Huntingtons disease. Brain 132, 1624\u20131632 (2009).","journal-title":"Brain"},{"key":"6416_CR33","doi-asserted-by":"publisher","first-page":"2161","DOI":"10.1002\/hbm.21348","volume":"33","author":"RC Wolf","year":"2012","unstructured":"Wolf, R. C. et al. Brain activation and functional connectivity in premanifest Huntington\u2019s disease during states of intrinsic and phasic alertness. Hum. Brain Mapp. 33, 2161\u20132173 (2012).","journal-title":"Hum. Brain Mapp."},{"key":"6416_CR34","doi-asserted-by":"publisher","first-page":"2147","DOI":"10.1111\/ene.14423","volume":"27","author":"L Pini","year":"2020","unstructured":"Pini, L. et al. Striatal connectivity in pre-manifest Huntington\u2019s disease is differentially affected by disease burden. Eur. J. Neurol. 27, 2147\u20132157 (2020).","journal-title":"Eur. J. Neurol."},{"key":"6416_CR35","doi-asserted-by":"publisher","first-page":"256","DOI":"10.1002\/hbm.24790","volume":"41","author":"L Pini","year":"2020","unstructured":"Pini, L. et al. Aberrant brain network connectivity in presymptomatic and manifest Huntington\u2019s disease: a systematic review. Hum. Brain Mapp. 41, 256\u2013269 (2020).","journal-title":"Hum. Brain Mapp."},{"key":"6416_CR36","doi-asserted-by":"publisher","first-page":"471","DOI":"10.1016\/j.neuroimage.2005.02.004","volume":"26","author":"J Fan","year":"2005","unstructured":"Fan, J., McCandliss, B. D., Fossella, J., Flombaum, J. I. & Posner, M. I. The activation of attentional networks. Neuroimage 26, 471\u2013479 (2005).","journal-title":"Neuroimage"},{"key":"6416_CR37","doi-asserted-by":"publisher","first-page":"1836","DOI":"10.1093\/cercor\/bhs164","volume":"23","author":"LB Kristensen","year":"2013","unstructured":"Kristensen, L. B., Wang, L., Petersson, K. M. & Hagoort, P. The interface between language and attention: prosodic focus marking recruits a general attention network in spoken language comprehension. Cereb. Cortex 23, 1836\u20131848 (2013).","journal-title":"Cereb. Cortex"},{"key":"6416_CR38","doi-asserted-by":"crossref","unstructured":"Mitko A. et al. Individual differences in sustained attention are associated with cortical thickness. Hum. Brain Mapp. 40, 3243-3253 (2019).","DOI":"10.1002\/hbm.24594"},{"key":"6416_CR39","doi-asserted-by":"publisher","first-page":"15916","DOI":"10.1073\/pnas.1004932107","volume":"107","author":"BU Forstmann","year":"2010","unstructured":"Forstmann, B. U. et al. Cortico-striatal connections predict control over speed and accuracy in perceptual decision making. Proc. Natl Acad. Sci. USA 107, 15916\u201315920 (2010).","journal-title":"Proc. Natl Acad. Sci. USA"},{"key":"6416_CR40","doi-asserted-by":"publisher","first-page":"163","DOI":"10.1111\/j.1755-5949.2010.00134.x","volume":"16","author":"VM Andr\u00e9","year":"2010","unstructured":"Andr\u00e9, V. M., Cepeda, C. & Levine, M. S. Dopamine and glutamate in Huntington\u2019s disease: a balancing act. CNS Neurosci. Ther. 16, 163\u2013178 (2010).","journal-title":"CNS Neurosci. Ther."},{"key":"6416_CR41","doi-asserted-by":"publisher","first-page":"e53135","DOI":"10.1371\/journal.pone.0053135","volume":"8","author":"L Marrakchi-Kacem","year":"2013","unstructured":"Marrakchi-Kacem, L. et al. Mapping cortico-striatal connectivity onto the cortical surface: a new tractography-based approach to study Huntington disease. PLoS One 8, e53135 (2013).","journal-title":"PLoS One"},{"key":"6416_CR42","doi-asserted-by":"publisher","first-page":"180","DOI":"10.1016\/j.nbd.2014.01.013","volume":"65","author":"GR Poudel","year":"2014","unstructured":"Poudel, G. R. et al. White matter connectivity reflects clinical and cognitive status in Huntington\u2019s disease. Neurobiol. Dis. 65, 180\u2013187 (2014).","journal-title":"Neurobiol. Dis."},{"key":"6416_CR43","doi-asserted-by":"publisher","first-page":"1462","DOI":"10.1038\/nn.2925","volume":"14","author":"JF Cavanagh","year":"2011","unstructured":"Cavanagh, J. F. et al. Subthalamic nucleus stimulation reverses mediofrontal influence over decision threshold. Nat. Neurosci. 14, 1462\u20131467 (2011).","journal-title":"Nat. Neurosci."},{"key":"6416_CR44","doi-asserted-by":"publisher","first-page":"2954","DOI":"10.1016\/j.neuron.2023.05.031","volume":"111","author":"M Simons","year":"2023","unstructured":"Simons, M., Levin, J. & Dichgans, M. Tipping points in neurodegeneration. Neuron 111, 2954\u20132968 (2023).","journal-title":"Neuron"},{"key":"6416_CR45","doi-asserted-by":"publisher","first-page":"10","DOI":"10.1111\/jnp.12031","volume":"9","author":"EP Hart","year":"2015","unstructured":"Hart, E. P. et al. Longitudinal pilot-study of sustained attention to response task and P300 in manifest and pre-manifest Huntington\u2019s disease. J. Neuropsychol. 9, 10\u201320 (2015).","journal-title":"J. Neuropsychol."},{"key":"6416_CR46","doi-asserted-by":"publisher","first-page":"633","DOI":"10.1016\/j.neubiorev.2016.09.002","volume":"71","author":"S Ziegler","year":"2016","unstructured":"Ziegler, S., Pedersen, M. L., Mowinckel, A. M. & Biele, G. Modelling ADHD: a review of ADHD theories through their predictions for computational models of decision-making and reinforcement learning. Neurosci. Biobehav. Rev. 71, 633\u2013656 (2016).","journal-title":"Neurosci. Biobehav. Rev."},{"key":"6416_CR47","first-page":"1","volume":"8","author":"MD Nunez","year":"2015","unstructured":"Nunez, M. D., Srinivasan, R. & Vandekerckhove, J. Individual differences in attention influence perceptual decision making. Front. Psychol. 8, 1\u201313 (2015).","journal-title":"Front. Psychol."},{"key":"6416_CR48","doi-asserted-by":"publisher","first-page":"34","DOI":"10.1016\/j.bbr.2013.05.030","volume":"254","author":"AP Yonelinas","year":"2013","unstructured":"Yonelinas, A. P. The hippocampus supports high-resolution binding in the service of perception, working memory and long-term memory. Behav. Brain Res. 254, 34\u201344 (2013).","journal-title":"Behav. Brain Res."},{"key":"6416_CR49","doi-asserted-by":"crossref","unstructured":"C\u00f3rdova N. I., Browne N. B. T., Aly M. Focusing on what matters: modulation of the human hippocampus by relational attention. Hippocampus 29, 1025\u20131037 (2019).","DOI":"10.1002\/hipo.23082"},{"key":"6416_CR50","doi-asserted-by":"publisher","first-page":"342","DOI":"10.1016\/j.tics.2008.05.007","volume":"12","author":"D Soto","year":"2008","unstructured":"Soto, D., Hodsoll, J., Rotshtein, P. & Humphreys, G. W. Automatic guidance of attention from working memory. Trends Cogn. Sci. 12, 342\u2013348 (2008).","journal-title":"Trends Cogn. Sci."},{"key":"6416_CR51","doi-asserted-by":"publisher","first-page":"306","DOI":"10.1016\/j.neuron.2008.04.017","volume":"58","author":"M Corbetta","year":"2008","unstructured":"Corbetta, M., Patel, G. & Shulman, G. L. The reorienting system of the human brain: from environment to theory of mind. Neuron 58, 306\u2013324 (2008).","journal-title":"Neuron"},{"key":"6416_CR52","doi-asserted-by":"publisher","first-page":"1191","DOI":"10.1007\/s00415-011-6334-0","volume":"259","author":"EP Hart","year":"2012","unstructured":"Hart, E. P. et al. Deficient sustained attention to response task and P300 characteristics in early Huntington\u2019s disease. J. Neurol. 259, 1191\u20131198 (2012).","journal-title":"J. Neurol."},{"key":"6416_CR53","doi-asserted-by":"crossref","unstructured":"Jacquemot C., Pallier C., LeBihan D., Dehaene S., Dupoux E. Phonological grammar shapes the auditory cortex: a functional magnetic resonance imaging study. J. Neurosci. 23, 9541\u20139546 (2003).","DOI":"10.1523\/JNEUROSCI.23-29-09541.2003"},{"key":"6416_CR54","doi-asserted-by":"publisher","first-page":"492","DOI":"10.1111\/j.1365-2990.1997.tb01326.x","volume":"23","author":"V Macdonald","year":"1997","unstructured":"Macdonald, V., Halliday, G. M., Trent, R. J. & McCusker, E. A. Significant loss of pyramidal neurons in the angular gyrus of patients with Huntington\u2019s disease. Neuropathol. Appl. Neurobiol. 23, 492\u2013495 (1997).","journal-title":"Neuropathol. Appl. Neurobiol."},{"key":"6416_CR55","doi-asserted-by":"publisher","first-page":"909","DOI":"10.3233\/JAD-2010-100678","volume":"22","author":"J Fortea","year":"2010","unstructured":"Fortea, J. et al. Increased cortical thickness and caudate volume precede atrophy in psen1 mutation carriers. J. Alzheimer\u2019s Dis. 22, 909\u2013922 (2010).","journal-title":"J. Alzheimer\u2019s Dis."},{"key":"6416_CR56","doi-asserted-by":"publisher","first-page":"544","DOI":"10.1016\/j.nbd.2010.07.014","volume":"40","author":"PC Nopoulos","year":"2010","unstructured":"Nopoulos, P. C. et al. Cerebral cortex structure in prodromal Huntington disease. Neurobiol. Dis. 40, 544\u2013554 (2010).","journal-title":"Neurobiol. Dis."},{"key":"6416_CR57","doi-asserted-by":"publisher","first-page":"672","DOI":"10.1016\/j.neuroimage.2008.12.061","volume":"45","author":"E Luders","year":"2009","unstructured":"Luders, E., Toga, A. W., Lepore, N. & Gaser, C. The underlying anatomical correlates of long-term meditation: larger hippocampal and frontal volumes of gray matter. Neuroimage 45, 672\u2013678 (2009).","journal-title":"Neuroimage"},{"key":"6416_CR58","doi-asserted-by":"publisher","first-page":"287","DOI":"10.1016\/j.pnpbp.2018.08.008","volume":"88","author":"JS Suh","year":"2019","unstructured":"Suh, J. S. et al. Cortical thickness in major depressive disorder: a systematic review and meta-analysis. Prog. Neuropsychopharmacol. Biol. Psychiatry 88, 287\u2013302 (2019).","journal-title":"Prog. Neuropsychopharmacol. Biol. Psychiatry"},{"key":"6416_CR59","first-page":"1715","volume":"25","author":"JS Paulsen","year":"2004","unstructured":"Paulsen, J. S. et al. fMRI biomarker of early neuronal dysfunction in presymptomatic Huntington\u2019s disease. Am. J. Neuroradiol. 25, 1715\u20131721 (2004).","journal-title":"Am. J. Neuroradiol."},{"key":"6416_CR60","doi-asserted-by":"publisher","first-page":"1420","DOI":"10.1016\/j.ebiom.2015.08.002","volume":"2","author":"S Kl\u00f6ppel","year":"2015","unstructured":"Kl\u00f6ppel, S. et al. Compensation in preclinical Huntington\u2019s disease: evidence from the Track-on HD study. EBioMedicine 2, 1420\u20131429 (2015).","journal-title":"EBioMedicine"},{"key":"6416_CR61","doi-asserted-by":"publisher","first-page":"839","DOI":"10.1016\/j.cortex.2008.12.005","volume":"45","author":"M Teichmann","year":"2009","unstructured":"Teichmann, M., Darcy, I., Bachoud-L\u00e9vi, A.-C. & Dupoux, E. The role of the striatum in phonological processing. evidence from early stages of Huntington\u2019s disease. Cortex 45, 839\u2013849 (2009).","journal-title":"Cortex"},{"key":"6416_CR62","doi-asserted-by":"publisher","first-page":"1885","DOI":"10.1097\/00001756-199806010-00040","volume":"9","author":"G Dehaene-Lambertz","year":"1998","unstructured":"Dehaene-Lambertz, G. & Baillet, S. A phonological representation in the infant brain. Neuroreport 9, 1885\u20131888 (1998).","journal-title":"Neuroreport"},{"key":"6416_CR63","doi-asserted-by":"publisher","first-page":"432","DOI":"10.1038\/385432a0","volume":"385","author":"R N\u00e4\u00e4t\u00e4nen","year":"1997","unstructured":"N\u00e4\u00e4t\u00e4nen, R. et al. Language-specific phoneme representations revealed by electric and magnetic brain responses. Nature 385, 432\u2013434 (1997).","journal-title":"Nature"},{"key":"6416_CR64","doi-asserted-by":"publisher","first-page":"635","DOI":"10.1162\/089892900562390","volume":"12","author":"G Dehaene-Lambertz","year":"2000","unstructured":"Dehaene-Lambertz, G., Dupoux, E. & Gout, A. Electrophysiological correlates of phonological processing: a cross-linguistic study. J. Cogn. Neurosci. 12, 635\u2013647 (2000).","journal-title":"J. Cogn. Neurosci."},{"key":"6416_CR65","doi-asserted-by":"publisher","first-page":"55","DOI":"10.1016\/j.bandl.2015.06.009","volume":"149","author":"Y Sun","year":"2015","unstructured":"Sun, Y. et al. Complex linguistic rules modulate early auditory brain responses. Brain Lang. 149, 55\u201365 (2015).","journal-title":"Brain Lang."},{"key":"6416_CR66","doi-asserted-by":"publisher","first-page":"257","DOI":"10.3758\/BF03204507","volume":"25","author":"J Cohen","year":"1993","unstructured":"Cohen, J., MacWhinney, B., Flatt, M., Provost, J. & PsyScope:, A. new graphic interactive environment for designing psychology experiments. Behav. Res. Methods Instrum. Comput. 25, 257\u2013271 (1993).","journal-title":"Behav. Res. Methods Instrum. Comput."},{"key":"6416_CR67","doi-asserted-by":"publisher","first-page":"1","DOI":"10.3389\/fninf.2013.00014","volume":"7","author":"TV Wiecki","year":"2013","unstructured":"Wiecki, T. V., Sofer, I. & Michael, F. J. HDDM: Hierarchical Bayesian estimation of the drift-diffusion model in Python. Front. Neuroin. 7, 1\u201310 (2013).","journal-title":"Front. Neuroin."},{"key":"6416_CR68","doi-asserted-by":"publisher","first-page":"237","DOI":"10.1037\/dec0000030","volume":"2","author":"R Ratcliff","year":"2015","unstructured":"Ratcliff, R. & Childers, R. Individual differences and fitting methods for the two-choice diffusion model of decision making. Decision 2, 237\u2013279 (2015).","journal-title":"Decision"},{"key":"6416_CR69","doi-asserted-by":"publisher","first-page":"457","DOI":"10.1214\/ss\/1177011136","volume":"7","author":"A Gelman","year":"1992","unstructured":"Gelman, A. & Rubin, D. B. Inference from iterative simulation using multiple sequences. Stat. Sci. 7, 457\u2013511 (1992).","journal-title":"Stat. Sci."},{"key":"6416_CR70","doi-asserted-by":"publisher","first-page":"583","DOI":"10.1111\/1467-9868.00353","volume":"64","author":"DJ Spiegelhalter","year":"2002","unstructured":"Spiegelhalter, D. J., Best, N. G., Carlin, B. P. & van der Linde, A. Bayesian measures of model complexity and fit. J. R. Stat. Soc. Ser. B 64, 583\u2013639 (2002).","journal-title":"J. R. Stat. Soc. Ser. B"},{"key":"6416_CR71","doi-asserted-by":"crossref","unstructured":"Pereira J. B. et al. Assessment of cortical degeneration in patients with Parkinson\u2019s disease by voxel-based morphometry, cortical folding, and cortical thickness. Hum. Brain Mapp. 33, 2521\u20132534 (2011).","DOI":"10.1002\/hbm.21378"},{"key":"6416_CR72","doi-asserted-by":"publisher","first-page":"617.e1","DOI":"10.1016\/j.neurobiolaging.2010.07.013","volume":"33","author":"H Lemaitre","year":"2012","unstructured":"Lemaitre, H. et al. Normal age-related brain morphometric changes: nonuniformity across cortical thickness, surface area and gray matter volume? Neurobiol. Aging 33, 617.e1\u2013617.e9 (2012).","journal-title":"Neurobiol. Aging"},{"key":"6416_CR73","doi-asserted-by":"publisher","first-page":"371","DOI":"10.1016\/j.neuroimage.2009.06.043","volume":"48","author":"C Hutton","year":"2009","unstructured":"Hutton, C., Draganski, B., Ashburner, J. & Weiskopf, N. A comparison between voxel-based cortical thickness and voxel-based morphometry in normal aging. Neuroimage 48, 371\u2013380 (2009).","journal-title":"Neuroimage"},{"key":"6416_CR74","doi-asserted-by":"crossref","unstructured":"Fischl B. et al. Neurotechnique whole brain segmentation: automated labeling of neuroanatomical structures in the human brain. Neuron 33, 341\u2013355 (2002).","DOI":"10.1016\/S0896-6273(02)00569-X"},{"key":"6416_CR75","doi-asserted-by":"publisher","first-page":"11050","DOI":"10.1073\/pnas.200033797","volume":"97","author":"B Fischl","year":"2000","unstructured":"Fischl, B. & Dale, A. M. Measuring the thickness of the human cerebral cortex from magnetic resonance images. Proc. Natl Acad. Sci. USA 97, 11050\u201311055 (2000).","journal-title":"Proc. Natl Acad. Sci. USA"},{"key":"6416_CR76","doi-asserted-by":"crossref","unstructured":"Fischl B., Sereno M. & Dale A. Cortical surface-based analysis: I. Segmentation and surface reconstruction. NeuroImage. 9, 179\u2013194 (1999).","DOI":"10.1006\/nimg.1998.0395"},{"key":"6416_CR77","doi-asserted-by":"publisher","first-page":"1686","DOI":"10.21105\/joss.01686","volume":"4","author":"H Wickham","year":"2019","unstructured":"Wickham, H. et al. Welcome to the tidyverse. J. Open Source Softw. 4, 1686 (2019).","journal-title":"J. Open Source Softw."},{"key":"6416_CR78","unstructured":"Posit Team. RStudio: Integrated Development Environment for R. http:\/\/www.posit.co\/ (2023)."}],"container-title":["Communications Biology"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.nature.com\/articles\/s42003-024-06416-x.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/www.nature.com\/articles\/s42003-024-06416-x","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/www.nature.com\/articles\/s42003-024-06416-x.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,6,18]],"date-time":"2024-06-18T14:23:21Z","timestamp":1718720601000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.nature.com\/articles\/s42003-024-06416-x"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,6,18]]},"references-count":78,"journal-issue":{"issue":"1","published-online":{"date-parts":[[2024,12]]}},"alternative-id":["6416"],"URL":"https:\/\/doi.org\/10.1038\/s42003-024-06416-x","relation":{"has-preprint":[{"id-type":"doi","id":"10.21203\/rs.3.rs-3187731\/v1","asserted-by":"object"}]},"ISSN":["2399-3642"],"issn-type":[{"value":"2399-3642","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024,6,18]]},"assertion":[{"value":"27 November 2023","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"5 June 2024","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"18 June 2024","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"The authors declare no competing interests.","order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Competing interests"}}],"article-number":"741"}}