Year: 2012
Type: letter
Abstract: To further understanding of basic and complex cognitive functions, previous connectome research has identified functional and structural connections of the human brain. Functional connectivity is often measured by using resting-state functional magnetic resonance imaging (rs-fMRI) and is generally interpreted as an indirect measure of neuronal activity. Gray matter (GM) primarily consists of neuronal and glia cell bodies; therefore, it is surprising that the majority of connectome research has excluded GM measures. Therefore, we propose that by exploring where GM corresponds to function would aid in the understanding of both structural and functional connectivity and in turn the human connectome. A cohort of 603 healthy participants underwent structural and functional scanning on the same 3 T scanner at the Mind Research Network. To investigate the spatial correspondence between structure and function, spatial independent component analysis (ICA) was applied separately to both GM density (GMD) maps and to rs-fMRI data. ICA of GM delineates structural components based on the covariation of GMD regions among subjects. For the rs-fMRI data, ICA identified spatial patterns with common temporal features. These decomposed structural and functional components were then compared by spatial correlation. Basal ganglia components exhibited the highest structural to resting-state functional spatial correlation (r = 0.59). Cortical components generally show correspondence between a single structural component and several resting-state functional components. We also studied relationships between the weights of different structural components and identified the precuneus as a hub in GMD structural network correlations. In addition, we analyzed relationships between component weights, age, and gender; concluding that age has a significant effect on structural components.
Source: Frontiers in Neuroinformatics
Authors: Judith M. Segall, Elena A. Allen, Rex E. Jung, Erik B. Erhardt, Sunil K. Arja, Kent Kiehl, Vince D. Calhoun
Institutions: Mind Research Network, University of New Mexico
Language: English
Subfield: Cognitive Neuroscience
Field: Neuroscience
Domain: Life Sciences
Open Access status: gold
Estimated APC paid: $3,801
Funders: U.S. Department of Energy, John Templeton Foundation, National Institutes of Health, National Institute on Alcohol Abuse and Alcoholism, National Institute of Mental Health, National Institute on Drug Abuse, National Institute of Neurological Disorders and Stroke, National Institute of Biomedical Imaging and Bioengineering, National Center for Research Resources
Awards: A Unified Framework for Flexible Brain Image Analysis, G1720309361, The Effects of CNR1 on Brain Function in Cannabis Users, Neural Mechanism of Schizophrenia: Use of Multiple Neuroimaging Tools to Examine, G222768804, Fetal ethanol-induced behavioral deficits: Mechanisms, diagnoses and intervention, Informed Data-Driven Fusion of Behavior, Brain Function, and Genes, Attentional Dysfunction and Recovery in Traumatic Brain Injury (TBI), RESEARCH AND DEVELOPMENT OF BETTER DIAGNOSIC TOOLS FOR MENTAL ILLNESS, NEUROLOGICAL DISORDERS, TRAUMATIC BRAIN INJURY AND POST TRAUMATIC STRESS DISOR, MRN: MISSION OF DISCOVERY AND ADVANCEMENT OF CLINICAL SOLUTIONS FOR THE PREVENTION, DIAGNOSIS, AND TREATMENT OF MENTAL ILLNESS AND OTHER BRAIN DISOR, Aberrant functional connectivity in psychosis, Multimodal Imaging of the Sensory Gating Deficit in Chronic Cocaine Abusers, Neurochemistry of Pain: Measuring glutamatergic brain activity in response to p, G9000276502, Multivariate methods for identifying multitask/multimodal brain imaging biomarkers
OpenAlex ID: W2144262351