Network-level dynamics underlying a combined rTMS and psychotherapy treatment for major depressive disorder: An exploratory network analysis
Int. j. clin. health psychol. (Internet)
; 23(4)oct.-dic. 2023. ilus
Artigo
em Inglês
| IBECS
| ID: ibc-226352
Biblioteca responsável:
ES1.1
Localização: ES15.1 - BNCS
ABSTRACT
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. (AU)
Texto completo:
Disponível
Coleções:
Bases de dados nacionais
/
Espanha
Base de dados:
IBECS
Assunto principal:
Psicoterapia
/
Transtorno Depressivo Maior
/
Estimulação Magnética Transcraniana
Limite:
Humanos
Idioma:
Inglês
Revista:
Int. j. clin. health psychol. (Internet)
Ano de publicação:
2023
Tipo de documento:
Artigo
Instituição/País de afiliação:
Duke University/USA
/
National Institute of Mental Health/USA