{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,14]],"date-time":"2026-09-14T17:20:50Z","timestamp":1789406450121,"version":"build-2803163510"},"reference-count":59,"publisher":"Elsevier BV","issue":"3","content-domain":{"domain":["psyn-journal.com","elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Psychiatry Research: Neuroimaging"],"published-print":{"date-parts":[[2013,12]]},"DOI":"10.1016\/j.pscychresns.2013.09.009","type":"journal-article","created":{"date-parts":[[2013,10,6]],"date-time":"2013-10-06T10:03:55Z","timestamp":1381053835000},"page":"322-330","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":7,"title":["Detection of preclinical neural dysfunction from functional connectivity graphs derived from task fMRI. An example from degeneration"],"prefix":"10.1016","volume":"214","author":[{"given":"Yolanda","family":"Vives-Gilabert","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ahmed","family":"Abdulkadir","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Christoph P.","family":"Kaller","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Wolfgang","family":"Mader","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Robert C.","family":"Wolf","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Bj\u00f6rn","family":"Schelter","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Stefan","family":"Kl\u00f6ppel","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"78","reference":[{"key":"10.1016\/j.pscychresns.2013.09.009_bib1","doi-asserted-by":"crossref","first-page":"785","DOI":"10.1016\/j.neuroimage.2011.06.029","article-title":"Effects of hardware heterogeneity on the performance of SVM Alzheimer's disease classifier","volume":"58","author":"Abdulkadir","year":"2011","journal-title":"NeuroImage"},{"key":"10.1016\/j.pscychresns.2013.09.009_bib2","doi-asserted-by":"crossref","first-page":"125","DOI":"10.2174\/1567205011310020002","article-title":"Functional and structural MRI biomarkers to detect pre-clinical neurodegeneration","volume":"10","author":"Abdulkadir","year":"2012","journal-title":"Current Alzheimer Research"},{"key":"10.1016\/j.pscychresns.2013.09.009_bib3","doi-asserted-by":"crossref","first-page":"63","DOI":"10.1523\/JNEUROSCI.3874-05.2006","article-title":"A resilient, low-frequency, small-world human brain functional network with highly connected association cortical hubs","volume":"26","author":"Achard","year":"2006","journal-title":"The Journal of Neuroscience"},{"key":"10.1016\/j.pscychresns.2013.09.009_bib4","unstructured":"Alem\u00e1n-G\u00f3mez, Y., Melie-Garc\u00eda, L., Vald\u00e9s-Hernandez, P., 2006. IBASPM: Toolbox for automatic parcellation of brain structures. In: Presented at the 12th Annual Meeting of the Organization for Human Brain Mapping, Available on CD-Rom in NeuroImage, Florence, Italy."},{"key":"10.1016\/j.pscychresns.2013.09.009_bib5","doi-asserted-by":"crossref","first-page":"839","DOI":"10.1016\/j.neuroimage.2005.02.018","article-title":"Unified segmentation","volume":"26","author":"Ashburner","year":"2005","journal-title":"NeuroImage"},{"key":"10.1016\/j.pscychresns.2013.09.009_bib6","doi-asserted-by":"crossref","first-page":"512","DOI":"10.1177\/1073858406293182","article-title":"Small-world brain networks","volume":"12","author":"Bassett","year":"2006","journal-title":"The Neuroscientist"},{"key":"10.1016\/j.pscychresns.2013.09.009_bib7","doi-asserted-by":"crossref","first-page":"9239","DOI":"10.1523\/JNEUROSCI.1929-08.2008","article-title":"Hierarchical organization of human cortical networks in health and schizophrenia","volume":"28","author":"Bassett","year":"2008","journal-title":"The Journal of Neuroscience"},{"key":"10.1016\/j.pscychresns.2013.09.009_bib8","doi-asserted-by":"crossref","first-page":"1404","DOI":"10.1016\/j.neuroimage.2011.08.044","article-title":"Test\u2013retest reliability of resting-state connectivity network characteristics using fMRI and graph theoretical measures","volume":"59","author":"Braun","year":"2011","journal-title":"NeuroImage"},{"key":"10.1016\/j.pscychresns.2013.09.009_bib9","doi-asserted-by":"crossref","first-page":"e1002079","DOI":"10.1371\/journal.pcbi.1002079","article-title":"Generative embedding for model-based classification of fMRI data","volume":"7","author":"Brodersen","year":"2011","journal-title":"PLoS Computational Biology"},{"key":"10.1016\/j.pscychresns.2013.09.009_bib501","doi-asserted-by":"crossref","unstructured":"Chang, C.-C., Lin, C.-J., 2011. LIBSVM. ACM Transactions on Intelligent Systems and Technology 2, 1\u201327.","DOI":"10.1145\/1961189.1961199"},{"key":"10.1016\/j.pscychresns.2013.09.009_bib10","doi-asserted-by":"crossref","first-page":"168","DOI":"10.1016\/j.biopsych.2006.08.024","article-title":"Amygdala and orbitofrontal reactivity to social threat in individuals with impulsive aggression","volume":"62","author":"Coccaro","year":"2007","journal-title":"Biological Psychiatry"},{"key":"10.1016\/j.pscychresns.2013.09.009_bib11","doi-asserted-by":"crossref","first-page":"273","DOI":"10.1007\/BF00994018","article-title":"Support-vector networks","volume":"20","author":"Cortes","year":"1995","journal-title":"Machine Learning"},{"key":"10.1016\/j.pscychresns.2013.09.009_bib12","doi-asserted-by":"crossref","first-page":"1914","DOI":"10.1002\/hbm.21333","article-title":"A whole brain fMRI atlas generated via spatially constrained spectral clustering","volume":"33","author":"Craddock","year":"2012","journal-title":"Human Brain Mapping"},{"key":"10.1016\/j.pscychresns.2013.09.009_bib13","doi-asserted-by":"crossref","first-page":"894","DOI":"10.1016\/j.neuroimage.2012.01.084","article-title":"Predicting the development of mild cognitive impairment: a new use of pattern recognition","volume":"60","author":"Cui","year":"2012","journal-title":"NeuroImage"},{"key":"10.1016\/j.pscychresns.2013.09.009_bib14","doi-asserted-by":"crossref","first-page":"766","DOI":"10.1016\/j.neuroimage.2010.06.013","article-title":"Automatic classification of patients with Alzheimer's disease from structural MRI: a comparison of ten methods using the ADNI database","volume":"56","author":"Cuingnet","year":"2011","journal-title":"NeuroImage"},{"key":"10.1016\/j.pscychresns.2013.09.009_bib15","doi-asserted-by":"crossref","first-page":"2026","DOI":"10.1093\/brain\/awp091","article-title":"Longitudinal progression of Alzheimer's-like patterns of atrophy in normal older adults: the SPARE-AD index","volume":"132","author":"Davatzikos","year":"2009","journal-title":"Brain"},{"key":"10.1016\/j.pscychresns.2013.09.009_bib16","first-page":"305","article-title":"Test\u2013retest reliability of graph theory measures of structural brain connectivity","volume":"15","author":"Dennis","year":"2012"},{"key":"10.1016\/j.pscychresns.2013.09.009_bib17","doi-asserted-by":"crossref","first-page":"1325","DOI":"10.1016\/j.neuroimage.2004.12.034","article-title":"A new SPM toolbox for combining probabilistic cytoarchitectonic maps and functional imaging data","volume":"25","author":"Eickhoff","year":"2005","journal-title":"NeuroImage"},{"key":"10.1016\/j.pscychresns.2013.09.009_bib18","first-page":"22","article-title":"Network scaling effects in graph analytic studies of human resting-state FMRI data","volume":"4","author":"Fornito","year":"2010","journal-title":"Frontiers in Systems Neuroscience"},{"key":"10.1016\/j.pscychresns.2013.09.009_bib19","doi-asserted-by":"crossref","first-page":"337","DOI":"10.1214\/aos\/1016218223","article-title":"Additive logistic regression: a statistical view of boosting (with discussion and a rejoinder by the authors)","volume":"28","author":"Friedman","year":"2000","journal-title":"The Annals of Statistics"},{"key":"10.1016\/j.pscychresns.2013.09.009_bib20","doi-asserted-by":"crossref","first-page":"656","DOI":"10.1016\/j.biopsych.2007.08.020","article-title":"Pattern classification of sad facial processing: toward the development of neurobiological markers in depression","volume":"63","author":"Fu","year":"2008","journal-title":"Biological Psychiatry"},{"key":"10.1016\/j.pscychresns.2013.09.009_bib21","doi-asserted-by":"crossref","first-page":"361","DOI":"10.1001\/archgenpsychiatry.2010.178","article-title":"Integrating neurobiological markers of depression","volume":"68","author":"Hahn","year":"2011","journal-title":"Archives of General Psychiatry"},{"key":"10.1016\/j.pscychresns.2013.09.009_bib22","doi-asserted-by":"crossref","first-page":"499","DOI":"10.1016\/j.neuroimage.2009.12.051","article-title":"Comparison of characteristics between region-and voxel-based network analyses in resting-state fMRI data","volume":"50","author":"Hayasaka","year":"2010","journal-title":"NeuroImage"},{"key":"10.1016\/j.pscychresns.2013.09.009_bib23","doi-asserted-by":"crossref","first-page":"939","DOI":"10.1136\/jnnp.2006.103309","article-title":"Psychiatric disorders in preclinical Huntington's disease","volume":"78","author":"Julien","year":"2007","journal-title":"Journal of Neurology, Neurosurgery & Psychiatry"},{"key":"10.1016\/j.pscychresns.2013.09.009_bib24","doi-asserted-by":"crossref","first-page":"892","DOI":"10.1016\/j.neuroimage.2011.05.025","article-title":"A tutorial in connectome analysis: topological and spatial features of brain networks","volume":"57","author":"Kaiser","year":"2011","journal-title":"NeuroImage"},{"key":"10.1016\/j.pscychresns.2013.09.009_bib25","doi-asserted-by":"crossref","first-page":"457","DOI":"10.1016\/j.neuroimage.2011.11.002","article-title":"Diagnostic neuroimaging across diseases","volume":"61","author":"Kl\u00f6ppel","year":"2011","journal-title":"NeuroImage"},{"key":"10.1016\/j.pscychresns.2013.09.009_bib26","doi-asserted-by":"crossref","first-page":"426","DOI":"10.1212\/01.wnl.0000341768.28646.b6","article-title":"Automatic detection of preclinical neurodegeneration: presymptomatic Huntington disease","volume":"72","author":"Kl\u00f6ppel","year":"2009","journal-title":"Neurology"},{"key":"10.1016\/j.pscychresns.2013.09.009_bib27","doi-asserted-by":"crossref","first-page":"426","DOI":"10.1212\/01.wnl.0000341768.28646.b6","article-title":"Automatic detection of preclinical neurodegeneration: presymptomatic Huntington disease","volume":"72","author":"Kl\u00f6ppel","year":"2009","journal-title":"Neurology"},{"key":"10.1016\/j.pscychresns.2013.09.009_bib28","doi-asserted-by":"crossref","first-page":"196","DOI":"10.1093\/brain\/awm275","article-title":"White matter connections reflect changes in voluntary-guided saccades in pre-symptomatic Huntington's disease","volume":"131","author":"Kl\u00f6ppel","year":"2008","journal-title":"Brain"},{"key":"10.1016\/j.pscychresns.2013.09.009_bib29","doi-asserted-by":"crossref","first-page":"1624","DOI":"10.1093\/brain\/awp081","article-title":"Functional compensation of motor function in pre-symptomatic Huntington's disease","volume":"132","author":"Kl\u00f6ppel","year":"2009","journal-title":"Brain"},{"key":"10.1016\/j.pscychresns.2013.09.009_bib30","doi-asserted-by":"crossref","first-page":"681","DOI":"10.1093\/brain\/awm319","article-title":"Automatic classification of MR scans in Alzheimer's disease","volume":"131","author":"Kl\u00f6ppel","year":"2008","journal-title":"Brain"},{"key":"10.1016\/j.pscychresns.2013.09.009_bib31","doi-asserted-by":"crossref","first-page":"549","DOI":"10.1016\/j.neuropsychologia.2009.10.016","article-title":"Irritability in pre-clinical Huntington's disease","volume":"48","author":"Kl\u00f6ppel","year":"2010","journal-title":"Neuropsychologia"},{"key":"10.1016\/j.pscychresns.2013.09.009_bib32","doi-asserted-by":"crossref","first-page":"267","DOI":"10.1111\/j.1399-0004.2004.00241.x","article-title":"A new model for prediction of the age of onset and penetrance for Huntington's disease based on CAG length","volume":"65","author":"Langbehn","year":"2004","journal-title":"Clinical Genetics"},{"key":"10.1016\/j.pscychresns.2013.09.009_bib33","doi-asserted-by":"crossref","first-page":"149","DOI":"10.1093\/cercor\/bhi089","article-title":"Motor control in basal ganglia circuits using fMRI and brain atlas approaches","volume":"16","author":"Leh\u00e9ricy","year":"2006","journal-title":"Cerebral Cortex"},{"key":"10.1016\/j.pscychresns.2013.09.009_bib34","doi-asserted-by":"crossref","first-page":"945","DOI":"10.1093\/brain\/awn018","article-title":"Disrupted small-world networks in schizophrenia","volume":"131","author":"Liu","year":"2008","journal-title":"Brain"},{"key":"10.1016\/j.pscychresns.2013.09.009_bib35","doi-asserted-by":"crossref","first-page":"1233","DOI":"10.1016\/S1053-8119(03)00169-1","article-title":"An automated method for neuroanatomic and cytoarchitectonic atlas-based interrogation of fMRI data sets","volume":"19","author":"Maldjian","year":"2003","journal-title":"NeuroImage"},{"issue":"833","key":"10.1016\/j.pscychresns.2013.09.009_bib36","first-page":"e27","article-title":"Age-related changes in the topological architecture of the brain during hand grip","volume":"33","author":"Park","year":"2012","journal-title":"Neurobiology of Aging"},{"key":"10.1016\/j.pscychresns.2013.09.009_bib37","doi-asserted-by":"crossref","first-page":"616","DOI":"10.1016\/j.neuroimage.2010.05.081","article-title":"Decoding brain states from fMRI connectivity graphs","volume":"56","author":"Richiardi","year":"2011","journal-title":"NeuroImage"},{"key":"10.1016\/j.pscychresns.2013.09.009_bib38","doi-asserted-by":"crossref","first-page":"1059","DOI":"10.1016\/j.neuroimage.2009.10.003","article-title":"Complex network measures of brain connectivity: uses and interpretations","volume":"52","author":"Rubinov","year":"2010","journal-title":"NeuroImage"},{"key":"10.1016\/j.pscychresns.2013.09.009_bib39","doi-asserted-by":"crossref","first-page":"2452","DOI":"10.1016\/j.neuroimage.2011.08.105","article-title":"Stability of resting fMRI interregional correlations analyzed in subject-native space: a one-year longitudinal study in healthy adults and premanifest Huntington's disease","volume":"59","author":"Seibert","year":"2011","journal-title":"NeuroImage"},{"key":"10.1016\/j.pscychresns.2013.09.009_bib40","doi-asserted-by":"crossref","first-page":"1087","DOI":"10.1162\/jocn_a_00210","article-title":"Large-scale cortical network properties predict future sound-to-word learning success","volume":"24","author":"Sheppard","year":"2012","journal-title":"Journal of Cognitive Neuroscience"},{"key":"10.1016\/j.pscychresns.2013.09.009_bib41","doi-asserted-by":"crossref","first-page":"420","DOI":"10.1037\/0033-2909.86.2.420","article-title":"Intraclass correlations: uses in assessing rater reliability","volume":"86","author":"Shrout","year":"1979","journal-title":"Psychological Bulletin"},{"key":"10.1016\/j.pscychresns.2013.09.009_bib42","doi-asserted-by":"crossref","first-page":"207","DOI":"10.2174\/1567205011310020011","article-title":"Mortality and treatment costs have a great impact on the cost-effectiveness of disease modifying treatment in Alzheimer's disease\u2014a simulation study","volume":"10","author":"Sk\u00f6ldunger","year":"2013","journal-title":"Current Alzheimer Research"},{"key":"10.1016\/j.pscychresns.2013.09.009_bib43","doi-asserted-by":"crossref","first-page":"875","DOI":"10.1016\/j.neuroimage.2010.08.063","article-title":"Network modelling methods for FMRI","volume":"54","author":"Smith","year":"2011","journal-title":"NeuroImage"},{"key":"10.1016\/j.pscychresns.2013.09.009_bib44","doi-asserted-by":"crossref","first-page":"145","DOI":"10.1385\/NI:2:2:145","article-title":"The small world of the cerebral cortex","volume":"2","author":"Sporns","year":"2004","journal-title":"Neuroinformatics"},{"key":"10.1016\/j.pscychresns.2013.09.009_bib45","doi-asserted-by":"crossref","first-page":"652","DOI":"10.1126\/science.153.3736.652","article-title":"High-speed scanning in human memory","volume":"153","author":"Sternberg","year":"1966","journal-title":"Science"},{"key":"10.1016\/j.pscychresns.2013.09.009_bib46","doi-asserted-by":"crossref","first-page":"e1000100","DOI":"10.1371\/journal.pcbi.1000100","article-title":"Network analysis of intrinsic functional brain connectivity in Alzheimer's disease","volume":"4","author":"Supekar","year":"2008","journal-title":"PLoS Computational Biology"},{"key":"10.1016\/j.pscychresns.2013.09.009_bib47","doi-asserted-by":"crossref","first-page":"117","DOI":"10.3389\/fninf.2010.00117","article-title":"Reproducibility of graph metrics in FMRI networks","volume":"4","author":"Telesford","year":"2010","journal-title":"Frontiers in Neuroinformatics"},{"key":"10.1016\/j.pscychresns.2013.09.009_bib48","doi-asserted-by":"crossref","first-page":"273","DOI":"10.1006\/nimg.2001.0978","article-title":"Automated anatomical labeling of activations in SPM using a macroscopic anatomical parcellation of the MNI MRI single-subject brain","volume":"15","author":"Tzourio-Mazoyer","year":"2002","journal-title":"NeuroImage"},{"key":"10.1016\/j.pscychresns.2013.09.009_bib49","doi-asserted-by":"crossref","first-page":"431","DOI":"10.1016\/j.neuroimage.2011.07.044","article-title":"The influence of head motion on intrinsic functional connectivity MRI","volume":"59","author":"Van Dijk","year":"2012","journal-title":"NeuroImage"},{"key":"10.1016\/j.pscychresns.2013.09.009_bib50","doi-asserted-by":"crossref","first-page":"218","DOI":"10.1016\/S0140-6736(07)60111-1","article-title":"Huntington's disease","volume":"369","author":"Walker","year":"2007","journal-title":"The Lancet"},{"key":"10.1016\/j.pscychresns.2013.09.009_bib51","doi-asserted-by":"crossref","first-page":"e21976","DOI":"10.1371\/journal.pone.0021976","article-title":"Graph theoretical analysis of functional brain networks: test\u2013retest evaluation on short- and long-term resting-state functional MRI data","volume":"6","author":"Wang","year":"2011","journal-title":"PLoS One"},{"key":"10.1016\/j.pscychresns.2013.09.009_bib52","doi-asserted-by":"crossref","first-page":"862","DOI":"10.1016\/j.neuroimage.2010.01.044","article-title":"Age-related changes in topological patterns of large-scale brain functional networks during memory encoding and recognition","volume":"50","author":"Wang","year":"2010","journal-title":"NeuroImage"},{"key":"10.1016\/j.pscychresns.2013.09.009_bib53","doi-asserted-by":"crossref","first-page":"440","DOI":"10.1038\/30918","article-title":"Collective dynamics of \u201csmall-world\u201d networks","volume":"393","author":"Watts","year":"1998","journal-title":"Nature"},{"key":"10.1016\/j.pscychresns.2013.09.009_bib54","doi-asserted-by":"crossref","first-page":"e37828","DOI":"10.1371\/journal.pone.0037828","article-title":"Resting-state multi-spectrum functional connectivity networks for identification of MCI patients","volume":"7","author":"Wee","year":"2012","journal-title":"PLoS One"},{"key":"10.1016\/j.pscychresns.2013.09.009_bib55","doi-asserted-by":"crossref","first-page":"1812","DOI":"10.1016\/j.neuroimage.2010.10.026","article-title":"Enriched white matter connectivity networks for accurate identification of MCI patients","volume":"54","author":"Wee","year":"2011","journal-title":"NeuroImage"},{"key":"10.1016\/j.pscychresns.2013.09.009_bib56","doi-asserted-by":"crossref","first-page":"137","DOI":"10.1016\/j.expneurol.2008.05.017","article-title":"Aberrant connectivity of lateral prefrontal networks in presymptomatic Huntington's disease","volume":"213","author":"Wolf","year":"2008","journal-title":"Experimental Neurology"},{"key":"10.1016\/j.pscychresns.2013.09.009_bib57","doi-asserted-by":"crossref","first-page":"2845","DOI":"10.1093\/brain\/awm210","article-title":"Dorsolateral prefrontal cortex dysfunction in presymptomatic Huntington's disease: evidence from event-related fMRI","volume":"130","author":"Wolf","year":"2007","journal-title":"Brain"},{"key":"10.1016\/j.pscychresns.2013.09.009_bib58","doi-asserted-by":"crossref","first-page":"970","DOI":"10.1016\/j.neuroimage.2009.12.027","article-title":"Whole-brain anatomical networks: does the choice of nodes matter?","volume":"50","author":"Zalesky","year":"2010","journal-title":"NeuroImage"}],"container-title":["Psychiatry Research: Neuroimaging"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0925492713002655?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0925492713002655?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2019,7,29]],"date-time":"2019-07-29T08:50:32Z","timestamp":1564390232000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S0925492713002655"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2013,12]]},"references-count":59,"journal-issue":{"issue":"3","published-print":{"date-parts":[[2013,12]]}},"alternative-id":["S0925492713002655"],"URL":"https:\/\/doi.org\/10.1016\/j.pscychresns.2013.09.009","relation":{},"ISSN":["0925-4927"],"issn-type":[{"value":"0925-4927","type":"print"}],"subject":[],"published":{"date-parts":[[2013,12]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"Detection of preclinical neural dysfunction from functional connectivity graphs derived from task fMRI. An example from degeneration","name":"articletitle","label":"Article Title"},{"value":"Psychiatry Research: Neuroimaging","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.pscychresns.2013.09.009","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"Copyright \u00a9 2013 Elsevier Ireland Ltd. All rights reserved.","name":"copyright","label":"Copyright"}]}}