Decreased salience network fMRI functional connectivity following a course of rTMS for treatment-resistant depression.


Journal

Journal of affective disorders
ISSN: 1573-2517
Titre abrégé: J Affect Disord
Pays: Netherlands
ID NLM: 7906073

Informations de publication

Date de publication:
01 03 2022
Historique:
received: 05 07 2021
revised: 08 11 2021
accepted: 30 12 2021
pubmed: 6 1 2022
medline: 5 3 2022
entrez: 5 1 2022
Statut: ppublish

Résumé

Repetitive transcranial magnetic stimulation (rTMS) is a treatment shown to be effective in treating major depressive disorder (MDD). However, the effect of rTMS therapy on functional connectivity within the brains of patients being treated for MDD remains poorly understood. Few studies have investigated the effects of a course of rTMS on resting-state network activity. In an open-label naturalistic study, resting-state fMRI was collected prior to and following a four-week course of rTMS in 24 participants with MDD and 2 with bipolar disorder. Montgomery-Asberg depression rating scale scores showed a response rate of 42%. Clinical response to rTMS was correlated with reduced functional connectivity from baseline to post-rTMS within the salience network (SN). This indicates SN connectivity may be functionally relevant to how rTMS produces antidepressant effects. In an exploratory inter-network analysis, connectivity between the SN and posterior default mode network (pDMN) was higher following treatment. However this difference was not correlated with the antidepressant response. Local BOLD activity within these networks was also assessed using the fractional amplitude of low-frequency fluctuations (fALFF) technique. Local activity increased in both the SN and pDMN following rTMS. However this increase was also not correlated with antidepressant response. The sample population was heterogeneous, continuing current use of medications, and the study lacked a healthy control or sham stimulation comparison group. Together, these results provide evidence for the involvement of the SN in the antidepressant response to rTMS treatment.

Sections du résumé

BACKGROUND
Repetitive transcranial magnetic stimulation (rTMS) is a treatment shown to be effective in treating major depressive disorder (MDD). However, the effect of rTMS therapy on functional connectivity within the brains of patients being treated for MDD remains poorly understood. Few studies have investigated the effects of a course of rTMS on resting-state network activity.
METHODS
In an open-label naturalistic study, resting-state fMRI was collected prior to and following a four-week course of rTMS in 24 participants with MDD and 2 with bipolar disorder. Montgomery-Asberg depression rating scale scores showed a response rate of 42%.
RESULTS
Clinical response to rTMS was correlated with reduced functional connectivity from baseline to post-rTMS within the salience network (SN). This indicates SN connectivity may be functionally relevant to how rTMS produces antidepressant effects. In an exploratory inter-network analysis, connectivity between the SN and posterior default mode network (pDMN) was higher following treatment. However this difference was not correlated with the antidepressant response. Local BOLD activity within these networks was also assessed using the fractional amplitude of low-frequency fluctuations (fALFF) technique. Local activity increased in both the SN and pDMN following rTMS. However this increase was also not correlated with antidepressant response.
LIMITATIONS
The sample population was heterogeneous, continuing current use of medications, and the study lacked a healthy control or sham stimulation comparison group.
CONCLUSIONS
Together, these results provide evidence for the involvement of the SN in the antidepressant response to rTMS treatment.

Identifiants

pubmed: 34986371
pii: S0165-0327(21)01445-2
doi: 10.1016/j.jad.2021.12.129
pii:
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

235-242

Informations de copyright

Copyright © 2022. Published by Elsevier B.V.

Auteurs

Kate E M Godfrey (KEM)

School of Pharmacy, The University of Auckland, University of Auckland Grafton Campus, 85 Park Road, Auckland 1023, New Zealand. Electronic address: k.godfrey@auckland.ac.nz.

Suresh D Muthukumaraswamy (SD)

School of Pharmacy, The University of Auckland, University of Auckland Grafton Campus, 85 Park Road, Auckland 1023, New Zealand.

Cathy M Stinear (CM)

School of Medicine, The University of Auckland, Auckland, New Zealand.

Nicholas Hoeh (N)

Department of Psychological Medicine, The University of Auckland, Auckland, New Zealand; Auckland District Health Board, Auckland, New Zealand.

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Classifications MeSH