Journal article
Spatial dynamics within and between brain functional domains: A hierarchical approach to study time-varying brain function
Human brain mapping, Vol.40(6), pp.1969-1986
04/15/2019
DOI: 10.1002/hbm.24505
PMCID: PMC6692083
PMID: 30588687
Abstract
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.
Details
- Title: Subtitle
- Spatial dynamics within and between brain functional domains: A hierarchical approach to study time-varying brain function
- Creators
- Armin Iraji - The Mind Research Network, Albuquerque, New MexicoZening Fu - The Mind Research Network, Albuquerque, New MexicoEswar Damaraju - The Mind Research Network, Albuquerque, New MexicoThomas P DeRamus - The Mind Research Network, Albuquerque, New MexicoNoah Lewis - The Mind Research Network, Albuquerque, New MexicoJuan R Bustillo - Department of Psychiatry and Behavioral Sciences, University of New Mexico, Albuquerque, New MexicoRhoshel K Lenroot - Department of Psychiatry and Behavioral Sciences, University of New Mexico, Albuquerque, New MexicoAysneil Belger - Department of Psychiatry, University of North Carolina, Chapel Hill, North CarolinaJudith M Ford - Psychiatry Service, San Francisco VA Medical Center, San Francisco, CaliforniaSarah McEwen - Department of Psychiatry and Biobehavioral Sciences, University of California Los Angeles, Los Angeles, CaliforniaDaniel H Mathalon - Psychiatry Service, San Francisco VA Medical Center, San Francisco, CaliforniaBryon A Mueller - Department of Psychiatry, University of Minnesota, Minneapolis, MinnesotaGodfrey D Pearlson - Departments of Psychiatry and Neurobiology, Yale University, School of Medicine, New Haven, ConnecticutSteven G Potkin - Department of Psychiatry and Human Behavior, University of California Irvine, Irvine, CaliforniaAdrian Preda - Department of Psychiatry and Human Behavior, University of California Irvine, Irvine, CaliforniaJessica A Turner - Department of Psychology, Georgia State University, Atlanta, GeorgiaJatin G Vaidya - Department of Psychiatry, University of Iowa, Iowa, IowaTheo G M van Erp - Clinical Translational Neuroscience Laboratory, Department of Psychiatry and Human Behavior, University of California Irvine, Irvine, CaliforniaVince D Calhoun - Department of Electrical and Computer Engineering, University of New Mexico, Albuquerque, New Mexico
- Resource Type
- Journal article
- Publication Details
- Human brain mapping, Vol.40(6), pp.1969-1986
- DOI
- 10.1002/hbm.24505
- PMID
- 30588687
- PMCID
- PMC6692083
- NLM abbreviation
- Hum Brain Mapp
- ISSN
- 1097-0193
- eISSN
- 1097-0193
- Publisher
- United States
- Grant note
- 1539067 / National Science Foundation R01 EB005846 / NIBIB NIH HHS I01 CX0004971 / VA I01 CX000497 / CSRD VA R01REB020407 / NIH HHS R01 EB020407 / NIBIB NIH HHS P20 GM103472 / NIGMS NIH HHS UL1 TR001863 / NCATS NIH HHS P20GM103472 / NIH HHS 2R01EB005846 / NIH HHS R01MH058262 / NIMH NIH HHS R01 MH058262 / NIMH NIH HHS
- Language
- English
- Date published
- 04/15/2019
- Academic Unit
- Psychiatry; Iowa Neuroscience Institute; University College Courses
- Record Identifier
- 9984003947502771
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