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Assessing Variations in Areal Organization for the Intrinsic Brain: From Fingerprints to Reliability
Xu, Ting1,2,3,4; Opitz, Alexander3,4; Craddock, R. Cameron3,4; Wright, Margaret J.5,6; Zuo, Xi-Nian1,2; Milham, Michael P.3,4
2016-11-01
Source PublicationCEREBRAL CORTEX
ISSN1047-3211
SubtypeArticle
Volume26Issue:11Pages:4192-4211
AbstractResting state fMRI (R-fMRI) is a powerful in-vivo tool for examining the functional architecture of the human brain. Recent studies have demonstrated the ability to characterize transitions between functionally distinct cortical areas through the mapping of gradients in intrinsic functional connectivity (iFC) profiles. To date, this novel approach has primarily been applied to iFC profiles averaged across groups of individuals, or in one case, a single individual scanned multiple times. Here, we used a publically available R-fMRI dataset, in which 30 healthy participants were scanned 10 times (10 min per session), to investigate differences in full-brain transition profiles (i.e., gradient maps, edge maps) across individuals, and their reliability. 10-min R-fMRI scans were sufficient to achieve high accuracies in efforts to "fingerprint" individuals based upon full-brain transition profiles. Regarding test-retest reliability, the image-wise intraclass correlation coefficient (ICC) was moderate, and vertex-level ICC varied depending on region; larger durations of data yielded higher reliability scores universally. Initial application of gradient-based methodologies to a recently published dataset obtained from twins suggested inter-individual variation in areal profiles might have genetic and familial origins. Overall, these results illustrate the utility of gradient-based iFC approaches for studying inter-individual variation in brain function.
Keywordareal organization individual differences reliability resting-state fMRI transition zones
DOI10.1093/cercor/bhw241
Indexed BySCI
Language英语
Funding OrganizationNational Basic Research (973) Program(2015CB351702) ; Funds of International Exchange for Post-doctoral Scientists of China ; National Institiute of Health(NIMH U01MH099059 ; Natural Science Foundation of China(81270023 ; National Science Foundation for Post-doctoral Scientists of China(2013M530073) ; Chinese Academy of Sciences(KSZD-EW-TZ-002) ; NIMH BRAINS R01-MH101555) ; 81278412 ; 81171409 ; 81000583 ; 81471740 ; 81220108014)
WOS Research AreaNeurosciences & Neurology
WOS SubjectNeurosciences
WOS IDWOS:000388532300007
WOS HeadingsScience & Technology ; Life Sciences & Biomedicine
WOS KeywordFUNCTIONAL CONNECTIVITY ARCHITECTURE ; HUMAN CEREBRAL-CORTEX ; SURFACE-BASED ANALYSIS ; CORTICAL SURFACE ; INDIVIDUAL VARIABILITY ; COORDINATE SYSTEM ; DISCOVERY SCIENCE ; GENETIC-CONTROL ; FMRI DATA ; NETWORKS
Citation statistics
Document Type期刊论文
Identifierhttp://ir.psych.ac.cn/handle/311026/20830
Collection中国科学院行为科学重点实验室
Affiliation1.Chinese Acad Sci, Key Lab Behav Sci, Beijing 100101, Peoples R China
2.Chinese Acad Sci, Magnet Resonance Imaging Res Ctr, Inst Psychol, Beijing 100101, Peoples R China
3.Child Mind Inst, Ctr Developing Brain, 445 Pk Ave, New York, NY 10022 USA
4.Nathan S Kline Inst Psychiat Res, Ctr Biomed Imaging & Neuromodulat, Orangeburg, NY 10962 USA
5.Univ Queensland, Queensland Brain Inst, St Lucia, Qld 4072, Australia
6.Univ Queensland, Ctr Adv Imaging, St Lucia, Qld 4072, Australia
Recommended Citation
GB/T 7714
Xu, Ting,Opitz, Alexander,Craddock, R. Cameron,et al. Assessing Variations in Areal Organization for the Intrinsic Brain: From Fingerprints to Reliability[J]. CEREBRAL CORTEX,2016,26(11):4192-4211.
APA Xu, Ting,Opitz, Alexander,Craddock, R. Cameron,Wright, Margaret J.,Zuo, Xi-Nian,&Milham, Michael P..(2016).Assessing Variations in Areal Organization for the Intrinsic Brain: From Fingerprints to Reliability.CEREBRAL CORTEX,26(11),4192-4211.
MLA Xu, Ting,et al."Assessing Variations in Areal Organization for the Intrinsic Brain: From Fingerprints to Reliability".CEREBRAL CORTEX 26.11(2016):4192-4211.
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