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

• Simon W. Davis ^[1] ; Lysianne Beynel ^[2] ; Andrada D. Neacsiu ^[1] ; Bruce M. Luber ^[2] ; Elisabeth Bernhardt ^[1] ; Sarah H. Lisanby ^[2] ; Timothy J. Strauman ^[1]
  1. [1] Duke University

     Duke University

     Township of Durham, Estados Unidos

     
  2. [2] National Institute of Mental Health, Bethesda, MD, USA
• Localización: International journal of clinical and health psychology, ISSN 1697-2600, Vol. 23, Nº. 4, 2023, págs. 31-40
• Idioma: inglés
• DOI: 10.1016/j.ijchp.2023.100382
• Enlaces
  • Texto completo (pdf)
• Dialnet Métricas: 2 Citas
• Resumen

  • 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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