Hyper-silence network and hypo-executive networks predict a better outcome to repetitive transcranial magnetic stimulation: A combining cue-task and resting state MRI

Bibliographic Details
Main Authors: Xingbao Li, Kevin Caulfield, Karen Hartwell, Kathleen Brady, Mark George
Format: Article
Language:English
Published: Elsevier 2023-01-01
Series:Brain Stimulation
Online Access:http://www.sciencedirect.com/science/article/pii/S1935861X23003443
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author Xingbao Li
Kevin Caulfield
Karen Hartwell
Kathleen Brady
Mark George
author_facet Xingbao Li
Kevin Caulfield
Karen Hartwell
Kathleen Brady
Mark George
author_sort Xingbao Li
collection DOAJ
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institution Directory Open Access Journal
issn 1935-861X
language English
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publishDate 2023-01-01
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series Brain Stimulation
spelling doaj.art-1cddc0ce9fe64c4bb7b2463c649ef6752023-02-17T04:52:05ZengElsevierBrain Stimulation1935-861X2023-01-01161230Hyper-silence network and hypo-executive networks predict a better outcome to repetitive transcranial magnetic stimulation: A combining cue-task and resting state MRIXingbao Li0Kevin Caulfield1Karen Hartwell2Kathleen Brady3Mark George4Medical University of South Carolina, USAMedical University of South Carolina, USAMedical University of South Carolina, USAMedical University of South Carolina, USAMedical University of South Carolina, USAhttp://www.sciencedirect.com/science/article/pii/S1935861X23003443
spellingShingle Xingbao Li
Kevin Caulfield
Karen Hartwell
Kathleen Brady
Mark George
Hyper-silence network and hypo-executive networks predict a better outcome to repetitive transcranial magnetic stimulation: A combining cue-task and resting state MRI
Brain Stimulation
title Hyper-silence network and hypo-executive networks predict a better outcome to repetitive transcranial magnetic stimulation: A combining cue-task and resting state MRI
title_full Hyper-silence network and hypo-executive networks predict a better outcome to repetitive transcranial magnetic stimulation: A combining cue-task and resting state MRI
title_fullStr Hyper-silence network and hypo-executive networks predict a better outcome to repetitive transcranial magnetic stimulation: A combining cue-task and resting state MRI
title_full_unstemmed Hyper-silence network and hypo-executive networks predict a better outcome to repetitive transcranial magnetic stimulation: A combining cue-task and resting state MRI
title_short Hyper-silence network and hypo-executive networks predict a better outcome to repetitive transcranial magnetic stimulation: A combining cue-task and resting state MRI
title_sort hyper silence network and hypo executive networks predict a better outcome to repetitive transcranial magnetic stimulation a combining cue task and resting state mri
url http://www.sciencedirect.com/science/article/pii/S1935861X23003443
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