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Network-level dynamics underlying a combined rTMS and psychotherapy treatment for major depressive disorder: An exploratory network analysis.

Publication ,  Journal Article
Davis, SW; Beynel, L; Neacsiu, AD; Luber, BM; Bernhardt, E; Lisanby, SH; Strauman, TJ
Published in: Int J Clin Health Psychol
2023

BACKGROUND: Despite the growing use of repetitive transcranial magnetic stimulation (rTMS) as a treatment for depression, there is a limited understanding of the mechanisms of action and how potential treatment-related brain changes help to characterize treatment response. To address this gap in understanding we investigated the effects of an approach combining rTMS with simultaneous psychotherapy on global functional connectivity. METHOD: We compared task-related functional connectomes based on an idiographic goal priming task tied to emotional regulation acquired before and after simultaneous rTMS/psychotherapy treatment for patients with major depressive disorders and compared these changes to normative connectivity patterns from a set of healthy volunteers (HV) performing the same task. RESULTS: At baseline, compared to HVs, patients demonstrated hyperconnectivity of the DMN, cerebellum and limbic system, and hypoconnectivity of the fronto-parietal dorsal-attention network and visual cortex. Simultaneous rTMS/psychotherapy helped to normalize these differences, which were reduced after treatment. This finding suggests that the rTMS/therapy treatment regularizes connectivity patterns in both hyperactive and hypoactive brain networks. CONCLUSIONS: These results help to link treatment to a comprehensive model of the neurocircuitry underlying depression and pave the way for future studies using network-guided principles to significantly improve rTMS efficacy for depression.

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Published In

Int J Clin Health Psychol

DOI

EISSN

2174-0852

Publication Date

2023

Volume

23

Issue

4

Start / End Page

100382

Location

Spain

Related Subject Headings

  • General Psychology & Cognitive Sciences
  • 5205 Social and personality psychology
  • 5203 Clinical and health psychology
  • 5201 Applied and developmental psychology
  • 1701 Psychology
 

Citation

APA
Chicago
ICMJE
MLA
NLM
Davis, S. W., Beynel, L., Neacsiu, A. D., Luber, B. M., Bernhardt, E., Lisanby, S. H., & Strauman, T. J. (2023). Network-level dynamics underlying a combined rTMS and psychotherapy treatment for major depressive disorder: An exploratory network analysis. Int J Clin Health Psychol, 23(4), 100382. https://doi.org/10.1016/j.ijchp.2023.100382
Davis, Simon W., Lysianne Beynel, Andrada D. Neacsiu, Bruce M. Luber, Elisabeth Bernhardt, Sarah H. Lisanby, and Timothy J. Strauman. “Network-level dynamics underlying a combined rTMS and psychotherapy treatment for major depressive disorder: An exploratory network analysis.Int J Clin Health Psychol 23, no. 4 (2023): 100382. https://doi.org/10.1016/j.ijchp.2023.100382.
Davis SW, Beynel L, Neacsiu AD, Luber BM, Bernhardt E, Lisanby SH, et al. Network-level dynamics underlying a combined rTMS and psychotherapy treatment for major depressive disorder: An exploratory network analysis. Int J Clin Health Psychol. 2023;23(4):100382.
Davis, Simon W., et al. “Network-level dynamics underlying a combined rTMS and psychotherapy treatment for major depressive disorder: An exploratory network analysis.Int J Clin Health Psychol, vol. 23, no. 4, 2023, p. 100382. Pubmed, doi:10.1016/j.ijchp.2023.100382.
Davis SW, Beynel L, Neacsiu AD, Luber BM, Bernhardt E, Lisanby SH, Strauman TJ. Network-level dynamics underlying a combined rTMS and psychotherapy treatment for major depressive disorder: An exploratory network analysis. Int J Clin Health Psychol. 2023;23(4):100382.

Published In

Int J Clin Health Psychol

DOI

EISSN

2174-0852

Publication Date

2023

Volume

23

Issue

4

Start / End Page

100382

Location

Spain

Related Subject Headings

  • General Psychology & Cognitive Sciences
  • 5205 Social and personality psychology
  • 5203 Clinical and health psychology
  • 5201 Applied and developmental psychology
  • 1701 Psychology