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4D dynamic spatial brain networks at rest linked to cognition show atypical variability and coupling in schizophrenia
by
Pusuluri, Krishna
, Kochunov, Peter
, Miller, Robyn
, Van Erp, Theo G. M.
, Iraji, Armin
, Calhoun, Vince D.
, Fu, Zening
, Pearlson, Godfrey
in
Adult
/ Biomarkers
/ Brain
/ Brain - diagnostic imaging
/ Brain - physiopathology
/ Brain mapping
/ brain networks
/ Brain research
/ Cognition
/ Cognitive ability
/ Cognitive Dysfunction - diagnostic imaging
/ Cognitive Dysfunction - etiology
/ Cognitive Dysfunction - physiopathology
/ Connectome
/ Coupling
/ Datasets
/ dynamic spatial network connectivity (dSNC)
/ Female
/ Functional magnetic resonance imaging
/ Humans
/ Hypothesis testing
/ inter‐network dynamic volumetric coupling
/ Magnetic Resonance Imaging
/ Male
/ Mental disorders
/ Nerve Net - diagnostic imaging
/ Nerve Net - physiopathology
/ Networks
/ Neural networks
/ Neuroimaging
/ Regression analysis
/ resting state fMRI (rsfMRI)
/ Schizophrenia
/ Schizophrenia - diagnostic imaging
/ Schizophrenia - physiopathology
/ Shrinkage
/ Spatial data
/ spatial network dynamics
/ Standard scores
/ Variability
/ Verbal learning
/ Volumetric analysis
/ Young Adult
2024
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4D dynamic spatial brain networks at rest linked to cognition show atypical variability and coupling in schizophrenia
by
Pusuluri, Krishna
, Kochunov, Peter
, Miller, Robyn
, Van Erp, Theo G. M.
, Iraji, Armin
, Calhoun, Vince D.
, Fu, Zening
, Pearlson, Godfrey
in
Adult
/ Biomarkers
/ Brain
/ Brain - diagnostic imaging
/ Brain - physiopathology
/ Brain mapping
/ brain networks
/ Brain research
/ Cognition
/ Cognitive ability
/ Cognitive Dysfunction - diagnostic imaging
/ Cognitive Dysfunction - etiology
/ Cognitive Dysfunction - physiopathology
/ Connectome
/ Coupling
/ Datasets
/ dynamic spatial network connectivity (dSNC)
/ Female
/ Functional magnetic resonance imaging
/ Humans
/ Hypothesis testing
/ inter‐network dynamic volumetric coupling
/ Magnetic Resonance Imaging
/ Male
/ Mental disorders
/ Nerve Net - diagnostic imaging
/ Nerve Net - physiopathology
/ Networks
/ Neural networks
/ Neuroimaging
/ Regression analysis
/ resting state fMRI (rsfMRI)
/ Schizophrenia
/ Schizophrenia - diagnostic imaging
/ Schizophrenia - physiopathology
/ Shrinkage
/ Spatial data
/ spatial network dynamics
/ Standard scores
/ Variability
/ Verbal learning
/ Volumetric analysis
/ Young Adult
2024
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4D dynamic spatial brain networks at rest linked to cognition show atypical variability and coupling in schizophrenia
by
Pusuluri, Krishna
, Kochunov, Peter
, Miller, Robyn
, Van Erp, Theo G. M.
, Iraji, Armin
, Calhoun, Vince D.
, Fu, Zening
, Pearlson, Godfrey
in
Adult
/ Biomarkers
/ Brain
/ Brain - diagnostic imaging
/ Brain - physiopathology
/ Brain mapping
/ brain networks
/ Brain research
/ Cognition
/ Cognitive ability
/ Cognitive Dysfunction - diagnostic imaging
/ Cognitive Dysfunction - etiology
/ Cognitive Dysfunction - physiopathology
/ Connectome
/ Coupling
/ Datasets
/ dynamic spatial network connectivity (dSNC)
/ Female
/ Functional magnetic resonance imaging
/ Humans
/ Hypothesis testing
/ inter‐network dynamic volumetric coupling
/ Magnetic Resonance Imaging
/ Male
/ Mental disorders
/ Nerve Net - diagnostic imaging
/ Nerve Net - physiopathology
/ Networks
/ Neural networks
/ Neuroimaging
/ Regression analysis
/ resting state fMRI (rsfMRI)
/ Schizophrenia
/ Schizophrenia - diagnostic imaging
/ Schizophrenia - physiopathology
/ Shrinkage
/ Spatial data
/ spatial network dynamics
/ Standard scores
/ Variability
/ Verbal learning
/ Volumetric analysis
/ Young Adult
2024
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4D dynamic spatial brain networks at rest linked to cognition show atypical variability and coupling in schizophrenia
Journal Article
4D dynamic spatial brain networks at rest linked to cognition show atypical variability and coupling in schizophrenia
2024
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Overview
Despite increasing interest in the dynamics of functional brain networks, most studies focus on the changing relationships over time between spatially static networks or regions. Here we propose an approach to study dynamic spatial brain networks in human resting state functional magnetic resonance imaging (rsfMRI) data and evaluate the temporal changes in the volumes of these 4D networks. Our results show significant volumetric coupling (i.e., synchronized shrinkage and growth) between networks during the scan, that we refer to as dynamic spatial network connectivity (dSNC). We find that several features of such dynamic spatial brain networks are associated with cognition, with higher dynamic variability in these networks and higher volumetric coupling between network pairs positively associated with cognitive performance. We show that these networks are modulated differently in individuals with schizophrenia versus typical controls, resulting in network growth or shrinkage, as well as altered focus of activity within a network. Schizophrenia also shows lower spatial dynamical variability in several networks, and lower volumetric coupling between pairs of networks, thus upholding the role of dynamic spatial brain networks in cognitive impairment seen in schizophrenia. Our data show evidence for the importance of studying the typically overlooked voxel‐wise changes within and between brain networks. Spatially dynamic brain networks show significant volumetric coupling with synchronized growth and shrinkage, referred to as dynamic spatial network connectivity (dSNC). Dynamic variability in such networks and coupling between network pairs are positively associated with cognitive performance, while showing negative association with schizophrenia, highlighting their possible role in cognitive impairment.
Publisher
John Wiley & Sons, Inc
Subject
/ Brain
/ Cognitive Dysfunction - diagnostic imaging
/ Cognitive Dysfunction - etiology
/ Cognitive Dysfunction - physiopathology
/ Coupling
/ Datasets
/ dynamic spatial network connectivity (dSNC)
/ Female
/ Functional magnetic resonance imaging
/ Humans
/ inter‐network dynamic volumetric coupling
/ Male
/ Nerve Net - diagnostic imaging
/ Networks
/ Schizophrenia - diagnostic imaging
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