Spatial dynamics within and between brain functional domains: A hierarchical approach to study time-varying brain function.

Autor:	Iraji A; The Mind Research Network, Albuquerque, New Mexico., Fu Z; The Mind Research Network, Albuquerque, New Mexico., Damaraju E; The Mind Research Network, Albuquerque, New Mexico., DeRamus TP; The Mind Research Network, Albuquerque, New Mexico., Lewis N; The Mind Research Network, Albuquerque, New Mexico., Bustillo JR; Department of Psychiatry and Behavioral Sciences, University of New Mexico, Albuquerque, New Mexico., Lenroot RK; Department of Psychiatry and Behavioral Sciences, University of New Mexico, Albuquerque, New Mexico., Belger A; Department of Psychiatry, University of North Carolina, Chapel Hill, North Carolina., Ford JM; Department of Psychiatry, University of California San Francisco, San Francisco, California.; Psychiatry Service, San Francisco VA Medical Center, San Francisco, California., McEwen S; Department of Psychiatry and Biobehavioral Sciences, University of California Los Angeles, Los Angeles, California., Mathalon DH; Department of Psychiatry, University of California San Francisco, San Francisco, California.; Psychiatry Service, San Francisco VA Medical Center, San Francisco, California., Mueller BA; Department of Psychiatry, University of Minnesota, Minneapolis, Minnesota., Pearlson GD; Departments of Psychiatry and Neurobiology, Yale University, School of Medicine, New Haven, Connecticut., Potkin SG; Department of Psychiatry and Human Behavior, University of California Irvine, Irvine, California., Preda A; Department of Psychiatry and Human Behavior, University of California Irvine, Irvine, California., Turner JA; Department of Psychology, Georgia State University, Atlanta, Georgia., Vaidya JG; Department of Psychiatry, University of Iowa, Iowa, Iowa., van Erp TGM; Clinical Translational Neuroscience Laboratory, Department of Psychiatry and Human Behavior, University of California Irvine, Irvine, California., Calhoun VD; The Mind Research Network, Albuquerque, New Mexico.; Departments of Psychiatry and Neurobiology, Yale University, School of Medicine, New Haven, Connecticut.; Department of Electrical and Computer Engineering, University of New Mexico, Albuquerque, New Mexico.
Jazyk:	angličtina
Zdroj:	Human brain mapping [Hum Brain Mapp] 2019 Apr 15; Vol. 40 (6), pp. 1969-1986. Date of Electronic Publication: 2018 Dec 26.
DOI:	10.1002/hbm.24505
Abstrakt:	The analysis of time-varying activity and connectivity patterns (i.e., the chronnectome) using resting-state magnetic resonance imaging has become an important part of ongoing neuroscience discussions. The majority of previous work has focused on variations of temporal coupling among fixed spatial nodes or transition of the dominant activity/connectivity pattern over time. Here, we introduce an approach to capture spatial dynamics within functional domains (FDs), as well as temporal dynamics within and between FDs. The approach models the brain as a hierarchical functional architecture with different levels of granularity, where lower levels have higher functional homogeneity and less dynamic behavior and higher levels have less homogeneity and more dynamic behavior. First, a high-order spatial independent component analysis is used to approximate functional units. A functional unit is a pattern of regions with very similar functional activity over time. Next, functional units are used to construct FDs. Finally, functional modules (FMs) are calculated from FDs, providing an overall view of brain dynamics. Results highlight the spatial fluidity within FDs, including a broad spectrum of changes in regional associations, from strong coupling to complete decoupling. Moreover, FMs capture the dynamic interplay between FDs. Patients with schizophrenia show transient reductions in functional activity and state connectivity across several FDs, particularly the subcortical domain. Activity and connectivity differences convey unique information in many cases (e.g., the default mode) highlighting their complementarity information. The proposed hierarchical model to capture FD spatiotemporal variations provides new insight into the macroscale chronnectome and identifies changes hidden from existing approaches. (© 2018 Wiley Periodicals, Inc.)
Databáze:	MEDLINE
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