Top-Down Network Effective Connectivity in Abstinent Substance Dependent Individuals

Autor: Jason R. Tregellas, Michael F. Regner, Jody Tanabe, Korey P. Wylie, Brianne Mohl, Naomi Saenz, Keeran Maharajh, Dorothy J. Yamamoto
Rok vydání: 2016
Předmět:
Male
Social Sciences
lcsh:Medicine
Neuropsychological Tests
Audiology
Brain mapping
Diagnostic Radiology
Drug Users
0302 clinical medicine
Cocaine
Functional Magnetic Resonance Imaging
Medicine and Health Sciences
Psychology
Longitudinal Studies
lcsh:Science
Prefrontal cortex
Default mode network
Drug Dependence
Brain Mapping
Multidisciplinary
medicine.diagnostic_test
Radiology and Imaging
Brain
Cognition
Magnetic Resonance Imaging
Chemistry
Behavioral Pharmacology
Physical Sciences
Female
Anatomy
medicine.symptom
Research Article
Personality
Adult
Impulsivity
Computer and Information Sciences
medicine.medical_specialty
Neural Networks
Imaging Techniques
Prefrontal Cortex
Neuroimaging
Research and Analysis Methods
Young Adult
03 medical and health sciences
Alkaloids
Diagnostic Medicine
Recreational Drug Use
medicine
Humans
Personality Traits
Pharmacology
Behavior
Resting state fMRI
lcsh:R
Chemical Compounds
Biology and Life Sciences
030227 psychiatry
Neostriatum
Multiple comparisons problem
lcsh:Q
Functional magnetic resonance imaging
030217 neurology & neurosurgery
Neuroscience
Zdroj: PLoS ONE, Vol 11, Iss 10, p e0164818 (2016)
PLoS ONE
ISSN: 1932-6203
Popis: Objective We hypothesized that compared to healthy controls, long-term abstinent substance dependent individuals (SDI) will differ in their effective connectivity between large-scale brain networks and demonstrate increased directional information from executive control to interoception-, reward-, and habit-related networks. In addition, using graph theory to compare network efficiencies we predicted decreased small-worldness in SDI compared to controls. Methods 50 SDI and 50 controls of similar sex and age completed psychological surveys and resting state fMRI. fMRI results were analyzed using group independent component analysis; 14 networks-of-interest (NOI) were selected using template matching to a canonical set of resting state networks. The number, direction, and strength of connections between NOI were analyzed with Granger Causality. Within-group thresholds were p
Databáze: OpenAIRE
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