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Multimodal neural correlates of cognitive control in the Human Connectome Project
Lerman-Sinkoff, Dov B.1,2; Sui, Jing3,4,5,6; Rachakonda, Srinivas6; Kandala, Sridhar7; Calhoun, Vince D.6,8; Barch, Deanna M.7,9,10
Source PublicationNEUROIMAGE
2017-12-01
Volume163Issue:2017-12Pages:41-54
SubtypeArticle
AbstractCognitive control is a construct that refers to the set of functions that enable decision-making and task performance through the representation of task states, goals, and rules. The neural correlates of cognitive control have been studied in humans using a wide variety of neuroimaging modalities, including structural MRI, resting-state fMRI, and task-based fMRI. The results from each of these modalities independently have implicated the involvement of a number of brain regions in cognitive control, including dorsal prefrontal cortex, and frontal parietal and cingulo-opercular brain networks. However, it is not clear how the results from a single modality relate to results in other modalities. Recent developments in multimodal image analysis methods provide an avenue for answering such questions and could yield more integrated models of the neural correlates of cognitive control. In this study, we used multiset canonical correlation analysis with joint independent component analysis (mCCA + jICA) to identify multimodal patterns of variation related to cognitive control. We used two independent cohorts of participants from the Human Connectome Project, each of which had data from four imaging modalities. We replicated the findings from the first cohort in the second cohort using both independent and predictive analyses. The independent analyses identified a component in each cohort that was highly similar to the other and significantly correlated with cognitive control performance. The replication by prediction analyses identified two independent components that were significantly correlated with cognitive control performance in the first cohort and significantly predictive of performance in the second cohort. These components identified positive relationships across the modalities in neural regions related to both dynamic and stable aspects of task control, including regions in both the frontal-parietal and cingulo-opercular networks, as well as regions hypothesized to be modulated by cognitive control signaling, such as visual cortex. Taken together, these results illustrate the potential utility of multi-modal analyses in identifying the neural correlates of cognitive control across different indicators of brain structure and function.
KeywordCognitive Control Mcca Plus Jica Multimodal Fusion
WOS HeadingsScience & Technology ; Life Sciences & Biomedicine
DOI10.1016/j.neuroimage.2017.08.081
WOS KeywordCANONICAL CORRELATION-ANALYSIS ; INDEPENDENT COMPONENT ANALYSIS ; MAJOR DEPRESSIVE DISORDER ; BRAIN IMAGING DATA ; PREFRONTAL CORTEX ; EXECUTIVE FUNCTION ; DISCRIMINATING SCHIZOPHRENIA ; NEUROPSYCHOLOGICAL MEASURES ; FUNCTIONAL CONNECTIVITY ; HEALTHY-ADULTS
Indexed BySCI ; SSCI
Language英语
Funding OrganizationNIH MSTP training grants(5T32GM007200-38 ; Interdisciplinary Training in Cognitive, Computational and Systems Neuroscience(5 T32 NS073547-05) ; McDonnell Center for Systems Neuroscience ; NIH fellowship(F30MH109294) ; Human Connectome Project grant(U54 MH091657) ; NIH(R01EB006841 ; NSF(1539067) ; Chinese National Science Foundation(81471367) ; National High-Tech Development Plan (863 plan)(2015AA020513) ; Strategic Priority Research Program of the Chinese Academy of Sciences(XDB02060005) ; 16 NIH Institutes and Centers(1U54MH091657) ; McDonnell Center for Systems Neuroscience at Washington University ; 5T32GM007200-39) ; P20GM103472 ; 1S10RR022984-01A1 ; 1S10OD018091-01)
WOS Research AreaNeurosciences & Neurology ; Radiology, Nuclear Medicine & Medical Imaging
WOS SubjectNeurosciences ; Neuroimaging ; Radiology, Nuclear Medicine & Medical Imaging
WOS IDWOS:000418641800005
Citation statistics
Cited Times:3[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.ia.ac.cn/handle/173211/20293
Collection脑网络组研究中心
Affiliation1.Washington Univ, Dept Biomed Engn, St Louis, MO 63130 USA
2.Washington Univ, Med Scientist Training Program, St Louis, MO 63130 USA
3.Univ Chinese Acad Sci, Ctr Excellence Brain Sci & Intelligence Technol, CAS, Beijing, Peoples R China
4.Chinese Acad Sci, Inst Automat, Brainnetome Ctr, Beijing, Peoples R China
5.Chinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing, Peoples R China
6.Mind Res Network, Med Image Anal Lab, Albuquerque, NM USA
7.Washington Univ, Dept Psychiat, St Louis, MO 63130 USA
8.Univ New Mexico, Dept Elect & Comp Engn, Albuquerque, NM 87131 USA
9.Washington Univ, Dept Psychol & Brain Sci, St Louis, MO 63130 USA
10.Washington Univ, Dept Radiol, St Louis, MO 63130 USA
Recommended Citation
GB/T 7714
Lerman-Sinkoff, Dov B.,Sui, Jing,Rachakonda, Srinivas,et al. Multimodal neural correlates of cognitive control in the Human Connectome Project[J]. NEUROIMAGE,2017,163(2017-12):41-54.
APA Lerman-Sinkoff, Dov B.,Sui, Jing,Rachakonda, Srinivas,Kandala, Sridhar,Calhoun, Vince D.,&Barch, Deanna M..(2017).Multimodal neural correlates of cognitive control in the Human Connectome Project.NEUROIMAGE,163(2017-12),41-54.
MLA Lerman-Sinkoff, Dov B.,et al."Multimodal neural correlates of cognitive control in the Human Connectome Project".NEUROIMAGE 163.2017-12(2017):41-54.
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