Individual resting-state network functional connectivity predicts treatment improvement of repetitive transcranial magnetic stimulation in major depressive disorder: A pilot study-Reference-Cited by-同舟云学术

Individual resting-state network functional connectivity predicts treatment improvement of repetitive transcranial magnetic stimulation in major depressive disorder: A pilot study

Published:2024-01 Issue: Volume:331 Page:115616
ISSN:0165-1781
Container-title:Psychiatry Research
language:en
Short-container-title:Psychiatry Research

Author:

Long Zhiliang^ORCID,Du Lian,Marino Marco^ORCID

Funder

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Biological Psychiatry,Psychiatry and Mental health

Reference24 articles.

1. Application of high-frequency repetitive transcranial magnetic stimulation to the DLPFC alters human prefrontal-hippocampal functional interaction;Bilek;J. Neurosci.,2013

2. Personalized connectivity-guided DLPFC-TMS for depression: Advancing computational feasibility, precision and reproducibility;Cash;Hum. Brain Mapp.,2021

3. Subgenual functional connectivity predicts antidepressant treatment response to transcranial magnetic stimulation: independent validation and evaluation of personalization;Cash;Biol. Psychiatry,2019

4. Efficacy of transcranial magnetic stimulation targets for depression is related to intrinsic functional connectivity with the subgenual cingulate;Fox;Biol. Psychiatry,2012

5. Abnormal functional connectivity within resting-state networks is related to rTMS-based therapy effects of treatment resistant depression: A pilot study;Ge;J. Affect. Disord.,2017

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1. Effect of Regional Brain Activity Following Repeat Transcranial Magnetic Stimulation in SCA3: A Secondary Analysis of a Randomized Clinical Trial;The Cerebellum;2024-04-01