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Prediction of neurocognition in youth from resting state fMRI
Chandra Sripada
, Saige Rutherford
, Mike Angstadt
, Wesley K. Thompson
,
Monica Luciana
, Alexander Weigard
, Luke H. Hyde
, Mary Heitzeg
Psychology (Twin Cities)
Research output
:
Contribution to journal
›
Article
›
peer-review
80
Scopus citations
Overview
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Keyphrases
Neurocognition
100%
Resting-state Functional Magnetic Resonance Imaging (rs-fMRI)
100%
General Ability
100%
Resting-state Functional Connectivity (rs-FC)
66%
Default Mode Network
66%
Higher-order Cognitive Functions
66%
Task Control
66%
Neurocognitive Function
33%
Psychopathology
33%
Connectivity Pattern
33%
Head Motion
33%
Control Network
33%
Early Adolescence
33%
Cognitive Functioning
33%
Interconnection Networks
33%
Problematic Behaviors
33%
Learning Memory
33%
Low Head
33%
Vulnerability Factors
33%
Cross-site
33%
Ability Score
33%
Major Locus
33%
Functional Connectivity Pattern
33%
Split-half
33%
Adolescent Brain Cognitive Development
33%
Network Mode
33%
Psychology
Cognitive Function
100%
Individual Differences
100%
Resting-State fMRI
100%
Resting-State
100%
Problematic Behavior
50%
Cognitive Development
50%
Cognitive Functioning
50%
Learning and Memory
50%
Functional Connectivity
50%
Neuroscience
Cognitive Function
100%
Individual Differences
100%
Default Mode Network
100%
Functional Magnetic Resonance Imaging
100%
Neurocognition
100%
Resting-State Functional Connectivity
50%