{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,25]],"date-time":"2026-03-25T19:19:43Z","timestamp":1774466383829,"version":"3.50.1"},"reference-count":68,"publisher":"Oxford University Press (OUP)","issue":"17","license":[{"start":{"date-parts":[[2023,7,15]],"date-time":"2023-07-15T00:00:00Z","timestamp":1689379200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/academic.oup.com\/pages\/standard-publication-reuse-rights"}],"funder":[{"DOI":"10.13039\/501100009629","name":"Caritro Foundation","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100009629","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2023,8,23]]},"abstract":"<jats:title>Abstract<\/jats:title>\n               <jats:p>Functional alterations in brain connectivity have previously been described in Parkinson\u2019s disease, but it is not clear whether individual differences in connectivity profiles might be also linked to severity of motor-symptom manifestation. Here we investigated the relevance of individual functional connectivity patterns measured with resting-state fMRI with respect to motor-symptom severity in Parkinson\u2019s disease, through a whole-brain, data-driven approach (connectome-based predictive modeling). Neuroimaging and clinical data of Parkinson\u2019s disease patients from the Parkinson\u2019s Progression Markers Initiative were derived at baseline (session 1, n\u2009=\u200981) and at follow-up (session 2, n\u2009=\u200953). Connectome-based predictive modeling protocol was implemented to predict levels of motor impairment from individual connectivity profiles. The resulting predictive model comprised a network mainly involving functional connections between regions located in the cerebellum, and in the motor and frontoparietal networks. The predictive power of the model was stable along disease progression, as the connectivity within the same network could predict levels of motor impairment, even at a later stage of the disease. Finally, connectivity profiles within this network could be identified at the individual level, suggesting the presence of individual fingerprints within resting-state fMRI connectivity associated with motor manifestations in Parkinson\u2019s disease.<\/jats:p>","DOI":"10.1093\/cercor\/bhad252","type":"journal-article","created":{"date-parts":[[2023,7,17]],"date-time":"2023-07-17T05:38:23Z","timestamp":1689572303000},"page":"9896-9907","source":"Crossref","is-referenced-by-count":3,"title":["Connectome-based fingerprint of motor impairment is stable along the course of Parkinson\u2019s disease"],"prefix":"10.1093","volume":"33","author":[{"given":"Giuseppe","family":"Rabini","sequence":"first","affiliation":[{"name":"Centre for Mind\/Brain Sciences, University of Trento , Trento, 38068 Rovereto , Italy"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Enrica","family":"Pierotti","sequence":"additional","affiliation":[{"name":"Centre for Mind\/Brain Sciences, University of Trento , Trento, 38068 Rovereto , Italy"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Claudia","family":"Meli","sequence":"additional","affiliation":[{"name":"Centre for Mind\/Brain Sciences, University of Trento , Trento, 38068 Rovereto , Italy"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Alessandra","family":"Dodich","sequence":"additional","affiliation":[{"name":"Centre for Mind\/Brain Sciences, University of Trento , Trento, 38068 Rovereto , Italy"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Costanza","family":"Papagno","sequence":"additional","affiliation":[{"name":"Centre for Mind\/Brain Sciences, University of Trento , Trento, 38068 Rovereto , Italy"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Luca","family":"Turella","sequence":"additional","affiliation":[{"name":"Centre for Mind\/Brain Sciences, University of Trento , Trento, 38068 Rovereto , Italy"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"286","published-online":{"date-parts":[[2023,7,15]]},"reference":[{"issue":"5","key":"2023090110252837800_ref1","doi-asserted-by":"crossref","first-page":"1986","DOI":"10.1002\/hbm.23150","article-title":"Factors affecting characterization and localization of interindividual differences in functional connectivity using MRI","volume":"37","author":"Airan","year":"2016","journal-title":"Hum Brain Mapp"},{"key":"2023090110252837800_ref2","doi-asserted-by":"crossref","first-page":"48859","DOI":"10.3389\/fneur.2013.00067","article-title":"Parkinson\u2019s disease rigidity: relation to brain connectivity and motor performance","volume":"4","author":"Baradaran","year":"2013","journal-title":"Front Neurol"},{"issue":"4","key":"2023090110252837800_ref3","doi-asserted-by":"crossref","first-page":"1728","DOI":"10.1016\/j.neuroimage.2011.01.017","article-title":"Resting state fMRI reveals increased subthalamic nucleus-motor cortex connectivity in Parkinson\u2019s disease","volume":"55","author":"Baudrexel","year":"2011","journal-title":"NeuroImage"},{"issue":"5","key":"2023090110252837800_ref4","doi-asserted-by":"crossref","first-page":"1087","DOI":"10.1073\/pnas.1713532115","article-title":"Robust prediction of individual creative ability from brain functional connectivity","volume":"115","author":"Beaty","year":"2018","journal-title":"Proc Natl Acad Sci U S A"},{"issue":"1","key":"2023090110252837800_ref5","doi-asserted-by":"crossref","first-page":"77","DOI":"10.1111\/nan.12297","article-title":"Review: Parkinson\u2019s disease: from synaptic loss to connectome dysfunction","volume":"42","author":"Bellucci","year":"2016","journal-title":"Neuropathol Appl Neurobiol"},{"issue":"1","key":"2023090110252837800_ref6","first-page":"99","article-title":"Magnetic resonance imaging studies of neurodegenerative disease: from methods to translational research","volume":"39","author":"Bull","year":"2022","journal-title":"Neurosci Bull"},{"issue":"7","key":"2023090110252837800_ref7","doi-asserted-by":"crossref","first-page":"1318","DOI":"10.1016\/j.ejrad.2015.04.014","article-title":"Changes in anatomical and functional connectivity of Parkinson\u2019s disease patients according to cognitive status","volume":"84","author":"Chen","year":"2015","journal-title":"Eur J Radiol"},{"issue":"7","key":"2023090110252837800_ref8","doi-asserted-by":"crossref","first-page":"1603","DOI":"10.1002\/mds.28541","article-title":"Functional connectomics and disease progression in drug-na\u00efve Parkinson\u2019s disease patients","volume":"36","author":"de Micco","year":"2021","journal-title":"Mov Disord"},{"issue":"AUG","key":"2023090110252837800_ref9","doi-asserted-by":"crossref","first-page":"525","DOI":"10.3389\/fnins.2018.00525","article-title":"Classification and prediction of brain disorders using functional connectivity: promising but challenging","volume":"12","author":"Du","year":"2018","journal-title":"Front Neurosci"},{"issue":"5","key":"2023090110252837800_ref10","doi-asserted-by":"crossref","first-page":"459","DOI":"10.1016\/S1474-4422(18)30499-X","article-title":"Global, regional, and national burden of neurological disorders, 1990\u20132016: a systematic analysis for the global burden of disease study 2016","volume":"18","author":"Feigin","year":"2019","journal-title":"Lancet Neurol"},{"issue":"2","key":"2023090110252837800_ref11","doi-asserted-by":"crossref","first-page":"104","DOI":"10.1002\/mdc3.12730","article-title":"Resting-state functional MRI in parkinsonian syndromes","volume":"6","author":"Filippi","year":"2019","journal-title":"Mov Disord Clin Pract"},{"issue":"9","key":"2023090110252837800_ref12","doi-asserted-by":"crossref","first-page":"5429","DOI":"10.1038\/s41380-020-0770-0","article-title":"Longitudinal brain connectivity changes and clinical evolution in Parkinson\u2019s disease","volume":"26","author":"Filippi","year":"2021","journal-title":"Mol Psychiatry"},{"key":"2023090110252837800_ref13","doi-asserted-by":"crossref","first-page":"118254","DOI":"10.1016\/j.neuroimage.2021.118254","article-title":"Beyond fingerprinting: choosing predictive connectomes over reliable connectomes","volume":"239","author":"Finn","year":"2021","journal-title":"NeuroImage"},{"issue":"11","key":"2023090110252837800_ref14","doi-asserted-by":"crossref","first-page":"1664","DOI":"10.1038\/nn.4135","article-title":"Functional connectome fingerprinting: identifying individuals using patterns of brain connectivity","volume":"18","author":"Finn","year":"2015","journal-title":"Nat Neurosci"},{"issue":"7","key":"2023090110252837800_ref15","doi-asserted-by":"crossref","first-page":"3227","DOI":"10.1002\/hbm.22397","article-title":"Functional neuroimaging of motor control in Parkinson\u2019s disease: a meta-analysis","volume":"35","author":"Herz","year":"2014","journal-title":"Hum Brain Mapp"},{"key":"2023090110252837800_ref16","doi-asserted-by":"crossref","first-page":"849","DOI":"10.1016\/j.nicl.2018.03.013","article-title":"Resting-state connectivity in neurodegenerative disorders: is there potential for an imaging biomarker?","volume":"18","author":"Hohenfeld","year":"2018","journal-title":"Neuroimage Clin"},{"key":"2023090110252837800_ref17","doi-asserted-by":"crossref","first-page":"676","DOI":"10.1016\/j.neuroimage.2019.02.002","article-title":"The individual functional connectome is unique and stable over months to years","volume":"189","author":"Horien","year":"2019","journal-title":"NeuroImage"},{"key":"2023090110252837800_ref18","volume-title":"Cerebral Cortex"},{"issue":"2","key":"2023090110252837800_ref19","doi-asserted-by":"crossref","first-page":"224","DOI":"10.1093\/scan\/nsy002","article-title":"Resting-state functional connectivity predicts neuroticism and extraversion in novel individuals","volume":"13","author":"Hsu","year":"2018","journal-title":"Soc Cogn Affect Neurosci"},{"issue":"4","key":"2023090110252837800_ref20","doi-asserted-by":"crossref","first-page":"368","DOI":"10.1136\/jnnp.2007.131045","article-title":"Parkinson\u2019s disease: clinical features and diagnosis","volume":"79","author":"Jankovic","year":"2008","journal-title":"J Neurol Neurosurg Psychiatry"},{"issue":"1","key":"2023090110252837800_ref21","doi-asserted-by":"crossref","first-page":"62","DOI":"10.1080\/01616412.2019.1709141","article-title":"Resting-state fMRI reveals increased functional connectivity in the cerebellum but decreased functional connectivity of the caudate nucleus in Parkinson\u2019s disease","volume":"42","author":"Kaut","year":"2020","journal-title":"Neurol Res"},{"issue":"22","key":"2023090110252837800_ref22","doi-asserted-by":"crossref","first-page":"7364","DOI":"10.1523\/JNEUROSCI.0810-09.2009","article-title":"L-Dopa modulates functional connectivity in striatal cognitive and motor networks: a double-blind placebo-controlled study","volume":"29","author":"Kelly","year":"2009","journal-title":"J Neurosci"},{"issue":"9","key":"2023090110252837800_ref23","doi-asserted-by":"crossref","first-page":"527","DOI":"10.1038\/s41582-021-00543-3","article-title":"The Parkinson disease connectome \u2014 insights from new imaging studies","volume":"17","author":"Krismer","year":"2021","journal-title":"Nat Rev Neurol"},{"issue":"3","key":"2023090110252837800_ref24","doi-asserted-by":"crossref","first-page":"657","DOI":"10.1016\/j.neuron.2015.06.037","article-title":"Functional system and areal organization of a highly sampled individual human brain","volume":"87","author":"Laumann","year":"2015","journal-title":"Neuron"},{"issue":"8","key":"2023090110252837800_ref25","doi-asserted-by":"crossref","first-page":"4383","DOI":"10.1038\/s41380-019-0586-y","article-title":"Dissociable neural substrates of opioid and cocaine use identified via connectome-based modelling","volume":"26","author":"Lichenstein","year":"2019","journal-title":"Mol Psychiatry"},{"issue":"4","key":"2023090110252837800_ref26","doi-asserted-by":"crossref","first-page":"e384","DOI":"10.1212\/WNL.0000000000008754","article-title":"Cognitive correlates of cerebellar resting-state functional connectivity in Parkinson disease","volume":"94","author":"Maiti","year":"2020","journal-title":"Neurology"},{"issue":"2","key":"2023090110252837800_ref27","doi-asserted-by":"crossref","first-page":"648","DOI":"10.1002\/hbm.23056","article-title":"Resting-state functional connectivity of the striatum in early-stage Parkinson\u2019s disease: cognitive decline and motor symptomatology","volume":"37","author":"Manza","year":"2016","journal-title":"Hum Brain Mapp"},{"issue":"4","key":"2023090110252837800_ref28","doi-asserted-by":"crossref","first-page":"629","DOI":"10.1016\/j.pneurobio.2011.09.005","article-title":"The Parkinson Progression Marker Initiative (PPMI)","volume":"95","author":"Marek","year":"2011","journal-title":"Prog Neurobiol"},{"key":"2023090110252837800_ref29","volume-title":"In 2015 IEEE 12th International Symposium on Biomedical Imaging (ISBI)"},{"issue":"3","key":"2023090110252837800_ref30","doi-asserted-by":"crossref","first-page":"586","DOI":"10.1016\/j.neuron.2012.12.028","article-title":"Individual variability in functional connectivity architecture of the human brain","volume":"77","author":"Mueller","year":"2013","journal-title":"Neuron"},{"issue":"4","key":"2023090110252837800_ref31","doi-asserted-by":"crossref","first-page":"695","DOI":"10.1111\/j.1532-5415.2005.53221.x","article-title":"The Montreal Cognitive Assessment, MoCA: a brief screening tool for mild cognitive impairment","volume":"53","author":"Nasreddine","year":"2005","journal-title":"J Am Geriatr Soc"},{"issue":"11","key":"2023090110252837800_ref32","doi-asserted-by":"crossref","first-page":"5415","DOI":"10.1093\/cercor\/bhx230","article-title":"Influences on the test\u2013retest reliability of functional connectivity MRI and its relationship with behavioral utility","volume":"27","author":"Noble","year":"2017","journal-title":"Cereb Cortex"},{"key":"2023090110252837800_ref33","doi-asserted-by":"crossref","first-page":"116157","DOI":"10.1016\/j.neuroimage.2019.116157","article-title":"A decade of test-retest reliability of functional connectivity: a systematic review and meta-analysis","volume":"203","author":"Noble","year":"2019","journal-title":"NeuroImage"},{"issue":"3","key":"2023090110252837800_ref34","doi-asserted-by":"crossref","first-page":"845","DOI":"10.1093\/brain\/awv399","article-title":"Cerebellar atrophy in Parkinson\u2019s disease and its implication for network connectivity","volume":"139","author":"O\u2019Callaghan","year":"2016","journal-title":"Brain"},{"issue":"9","key":"2023090110252837800_ref35","doi-asserted-by":"crossref","first-page":"1264","DOI":"10.1002\/mds.27115","article-title":"Past, present, and future of Parkinson\u2019s disease: a special essay on the 200th anniversary of the shaking palsy","volume":"32","author":"Obeso","year":"2017","journal-title":"Mov Disord"},{"key":"2023090110252837800_ref36","doi-asserted-by":"crossref","first-page":"100878","DOI":"10.1016\/j.dcn.2020.100878","article-title":"Behavioral and brain signatures of substance use vulnerability in childhood","volume":"46","author":"Rapuano","year":"2020","journal-title":"Dev Cogn Neurosci"},{"issue":"11","key":"2023090110252837800_ref37","doi-asserted-by":"crossref","first-page":"939","DOI":"10.1016\/S1474-4422(18)30295-3","article-title":"Global, regional, and national burden of Parkinson\u2019s disease, 1990-2016: a systematic analysis for the global burden of disease study 2016","volume":"17","author":"Ray Dorsey","year":"2018","journal-title":"Lancet Neurol"},{"issue":"11","key":"2023090110252837800_ref38","doi-asserted-by":"crossref","first-page":"928","DOI":"10.1016\/S1474-4422(18)30355-7","article-title":"The burden of Parkinson\u2019s disease: a worldwide perspective","volume":"17","author":"Rocca","year":"2018","journal-title":"Lancet Neurol"},{"issue":"1","key":"2023090110252837800_ref39","doi-asserted-by":"crossref","first-page":"8","DOI":"10.1002\/mds.27114","article-title":"The future burden of Parkinson\u2019s disease","volume":"33","author":"Rocca","year":"2018","journal-title":"Mov Disord"},{"issue":"1","key":"2023090110252837800_ref40","doi-asserted-by":"crossref","first-page":"165","DOI":"10.1038\/nn.4179","article-title":"A neuromarker of sustained attention from whole-brain functional connectivity","volume":"19","author":"Rosenberg","year":"2015","journal-title":"Nat Neurosci"},{"issue":"4","key":"2023090110252837800_ref41","doi-asserted-by":"crossref","first-page":"290","DOI":"10.1016\/j.tics.2017.01.011","article-title":"Characterizing attention with predictive network models","volume":"21","author":"Rosenberg","year":"2017","journal-title":"Trends Cogn Sci"},{"key":"2023090110252837800_ref42","doi-asserted-by":"crossref","first-page":"1275","DOI":"10.3389\/fnins.2020.561594","article-title":"Functional segregation of human brain networks across the lifespan: an exploratory analysis of static and dynamic resting-state functional connectivity","volume":"14","author":"Rosenberg","year":"2020","journal-title":"Front Neurosci"},{"issue":"1","key":"2023090110252837800_ref43","doi-asserted-by":"crossref","first-page":"156","DOI":"10.1002\/mds.27063","article-title":"Projection of the prevalence of Parkinson\u2019s disease in the coming decades: revisited","volume":"33","author":"Rossi","year":"2018","journal-title":"Mov Disord"},{"issue":"2","key":"2023090110252837800_ref44","doi-asserted-by":"crossref","first-page":"510","DOI":"10.1016\/j.clinph.2020.11.035","article-title":"Frontal functional connectivity and disease duration interactively predict cognitive decline in Parkinson\u2019s disease","volume":"132","author":"S\u00e1nchez-Dinor\u00edn","year":"2021","journal-title":"Clin Neurophysiol"},{"key":"2023090110252837800_ref45","doi-asserted-by":"crossref","first-page":"35","DOI":"10.1016\/j.neuroimage.2019.02.057","article-title":"Ten simple rules for predictive modeling of individual differences in neuroimaging","volume":"193","author":"Scheinost","year":"2019","journal-title":"NeuroImage"},{"key":"2023090110252837800_ref46","doi-asserted-by":"crossref","first-page":"98","DOI":"10.3389\/fncom.2020.571527","article-title":"Connectome-based model predicts deep brain stimulation outcome in Parkinson\u2019s disease","volume":"14","author":"Shang","year":"2020","journal-title":"Front Comput Neurosci"},{"issue":"4","key":"2023090110252837800_ref47","doi-asserted-by":"crossref","first-page":"447","DOI":"10.1002\/mds.25255","article-title":"Parkinson\u2019s disease patients show reduced cortical-subcortical sensorimotor connectivity","volume":"28","author":"Sharman","year":"2013","journal-title":"Mov Disord"},{"issue":"3","key":"2023090110252837800_ref48","doi-asserted-by":"crossref","first-page":"1027","DOI":"10.1016\/j.neuroimage.2009.12.119","article-title":"Graph-theory based parcellation of functional subunits in the brain from resting-state fMRI data","volume":"50","author":"Shen","year":"2010","journal-title":"NeuroImage"},{"key":"2023090110252837800_ref49","doi-asserted-by":"crossref","first-page":"403","DOI":"10.1016\/j.neuroimage.2013.05.081","article-title":"Groupwise whole-brain parcellation from resting-state fMRI data for network node identification","volume":"82","author":"Shen","year":"2013","journal-title":"NeuroImage"},{"issue":"3","key":"2023090110252837800_ref50","doi-asserted-by":"crossref","first-page":"506","DOI":"10.1038\/nprot.2016.178","article-title":"Using connectome-based predictive modeling to predict individual behavior from brain connectivity","volume":"12","author":"Shen","year":"2017","journal-title":"Nat Protoc"},{"issue":"10","key":"2023090110252837800_ref51","doi-asserted-by":"crossref","first-page":"6282","DOI":"10.1093\/cercor\/bhac503","article-title":"Individual-level functional connectomes predict the motor symptoms of Parkinson\u2019s disease","volume":"33","author":"Shi","year":"2023","journal-title":"Cereb Cortex"},{"key":"2023090110252837800_ref52","doi-asserted-by":"crossref","first-page":"80","DOI":"10.1016\/j.cortex.2015.08.005","article-title":"A systematic review on the applications of resting-state fMRI in Parkinson\u2019s disease: does dopamine replacement therapy play a role?","volume":"73","author":"Tahmasian","year":"2015","journal-title":"Cortex"},{"key":"2023090110252837800_ref53","doi-asserted-by":"crossref","first-page":"119","DOI":"10.1016\/j.cortex.2017.03.016","article-title":"Resting-state functional reorganization in Parkinson\u2019s disease: an activation likelihood estimation meta-analysis","volume":"92","author":"Tahmasian","year":"2017","journal-title":"Cortex"},{"issue":"4","key":"2023090110252837800_ref54","doi-asserted-by":"crossref","first-page":"637","DOI":"10.3233\/JPD-191592","article-title":"Functional connectivity signatures of Parkinson\u2019s disease","volume":"9","author":"Tessitore","year":"2019","journal-title":"J Parkinsons Dis"},{"key":"2023090110252837800_ref55","doi-asserted-by":"crossref","first-page":"61","DOI":"10.1016\/j.parkreldis.2018.02.013","article-title":"The reorganization of functional architecture in the early-stages of Parkinson\u2019s disease","volume":"50","author":"Tuovinen","year":"2018","journal-title":"Parkinsonism Relat Disord"},{"key":"2023090110252837800_ref56","doi-asserted-by":"crossref","first-page":"166","DOI":"10.1016\/j.neuroimage.2016.10.038","article-title":"Assessing and tuning brain decoders: cross-validation, caveats, and guidelines","volume":"145","author":"Varoquaux","year":"2017","journal-title":"NeuroImage"},{"key":"2023090110252837800_ref57","doi-asserted-by":"crossref","first-page":"371","DOI":"10.1016\/j.neuroimage.2017.07.016","article-title":"Evaluating the replicability, specificity, and generalizability of connectome fingerprints","volume":"158","author":"Waller","year":"2017","journal-title":"NeuroImage"},{"issue":"1","key":"2023090110252837800_ref58","doi-asserted-by":"crossref","first-page":"49","DOI":"10.1038\/s41531-022-00315-w","article-title":"Antagonistic network signature of motor function in Parkinson\u2019s disease revealed by connectome-based predictive modeling","volume":"8","author":"Wang","year":"2022","journal-title":"NPJ Parkinsons Dis"},{"issue":"3","key":"2023090110252837800_ref1w","doi-asserted-by":"crossref","first-page":"125","DOI":"10.1089\/brain.2012.0073","article-title":"Conn: a functional connectivity toolbox for correlated and anticorrelated brain networks","volume":"2","author":"Whitfield-Gabrieli","journal-title":"Brain connectivity"},{"key":"2023090110252837800_ref2w","article-title":"Parkinson disease: a public health approach. Technical Brief","volume-title":"Geneva","author":"World Health Organization"},{"issue":"3","key":"2023090110252837800_ref59","doi-asserted-by":"crossref","first-page":"696","DOI":"10.1093\/brain\/aws360","article-title":"The cerebellum in Parkinson\u2019s disease","volume":"136","author":"Wu","year":"2013","journal-title":"Brain"},{"issue":"9","key":"2023090110252837800_ref60","doi-asserted-by":"crossref","first-page":"1443","DOI":"10.1002\/hbm.21118","article-title":"Functional connectivity of cortical motor areas in the resting state in Parkinson\u2019s disease","volume":"32","author":"Wu","year":"2011","journal-title":"Hum Brain Mapp"},{"issue":"6","key":"2023090110252837800_ref61","doi-asserted-by":"crossref","first-page":"1984","DOI":"10.1002\/hbm.25768","article-title":"Identifying a whole-brain connectome-based model in drug-na\u00efve Parkinson\u2019s disease for predicting motor impairment","volume":"43","author":"Wu","year":"2022","journal-title":"Hum Brain Mapp"},{"issue":"8","key":"2023090110252837800_ref62","first-page":"748","article-title":"Toward addiction prediction: an overview of cross-validated predictive Modeling findings and considerations for future neuroimaging research","volume":"5","author":"Yip","year":"2020","journal-title":"Biol Psychiatry Cogn Neurosci Neuroimaging"},{"issue":"4","key":"2023090110252837800_ref63","doi-asserted-by":"crossref","first-page":"e0125455","DOI":"10.1371\/journal.pone.0125455","article-title":"Neural substrates of motor and non-motor symptoms in Parkinson\u2019s disease: a resting fMRI study","volume":"10","author":"Yoo","year":"2015","journal-title":"PLoS One"},{"issue":"6","key":"2023090110252837800_ref64","doi-asserted-by":"crossref","first-page":"782","DOI":"10.1038\/s41562-022-01301-1","article-title":"A brain-based general measure of attention","volume":"6","author":"Yoo","year":"2022","journal-title":"Nat Hum Behav"},{"issue":"5","key":"2023090110252837800_ref65","doi-asserted-by":"crossref","first-page":"501","DOI":"10.1007\/s12264-017-0171-9","article-title":"Longitudinal alterations of local spontaneous brain activity in Parkinson\u2019s disease","volume":"33","author":"Zeng","year":"2017","journal-title":"Neurosci Bull"},{"issue":"10","key":"2023090110252837800_ref66","doi-asserted-by":"crossref","first-page":"897","DOI":"10.1111\/cns.12838","article-title":"Abnormal resting-state functional connectivity in posterior cingulate cortex of Parkinson\u2019s disease with mild cognitive impairment and dementia","volume":"24","author":"Zhan","year":"2018","journal-title":"CNS Neurosci Ther"}],"container-title":["Cerebral Cortex"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/academic.oup.com\/cercor\/article-pdf\/33\/17\/9896\/51231671\/bhad252.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"syndication"},{"URL":"https:\/\/academic.oup.com\/cercor\/article-pdf\/33\/17\/9896\/51231671\/bhad252.pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,9,1]],"date-time":"2023-09-01T10:26:42Z","timestamp":1693564002000},"score":1,"resource":{"primary":{"URL":"https:\/\/academic.oup.com\/cercor\/article\/33\/17\/9896\/7224680"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,7,15]]},"references-count":68,"journal-issue":{"issue":"17","published-online":{"date-parts":[[2023,7,15]]},"published-print":{"date-parts":[[2023,8,23]]}},"URL":"https:\/\/doi.org\/10.1093\/cercor\/bhad252","relation":{},"ISSN":["1047-3211","1460-2199"],"issn-type":[{"value":"1047-3211","type":"print"},{"value":"1460-2199","type":"electronic"}],"subject":[],"published-other":{"date-parts":[[2023,9,1]]},"published":{"date-parts":[[2023,7,15]]}}}