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Resting-state fMRI can reliably map neural networks in children
Moriah E. Thomason
, Emily L. Dennis
, Anand A. Joshi
, Shantanu H. Joshi
, Ivo D. Dinov
, Catie Chang
, Melissa L. Henry
, Rebecca F. Johnson
, Paul M. Thompson
, Arthur W. Toga
, Gary H. Glover
, John D. Van Horn
, Ian H. Gotlib
Research output
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Article
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peer-review
140
Scopus citations
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Keyphrases
Neural Network
100%
Resting-state Functional Magnetic Resonance Imaging (rs-fMRI)
100%
Low-frequency Power
50%
Intrinsic Connectivity Networks
50%
Resting-state Functional Connectivity (rs-FC)
25%
Pearson Correlation Coefficient
25%
Resting State
25%
Whole Brain
25%
Spatial-temporal
25%
Large-scale Brain Networks
25%
Visual Network
25%
Spatial Frequency
25%
Multiple Domains
25%
Neural Connectivity
25%
Sensorimotor
25%
State Data
25%
Spatial Maps
25%
Spatial-temporal Domain
25%
Spatial Frequency Domain
25%
T2-low
25%
Temporal Coherence
25%
Neuroscience
Functional Magnetic Resonance Imaging
100%
Neural Network
100%
Magnetic Resonance Imaging
33%
Brain Network
33%