Electroconvulsive therapy-induced volumetric brain changes converge on a common causal circuit in depression.
Journal
Research square
Titre abrégé: Res Sq
Pays: United States
ID NLM: 101768035
Informations de publication
Date de publication:
01 Jun 2023
01 Jun 2023
Historique:
pubmed:
3
7
2023
medline:
3
7
2023
entrez:
3
7
2023
Statut:
epublish
Résumé
Neurostimulation is a mainstream treatment option for major depression. Neuromodulation techniques apply repetitive magnetic or electrical stimulation to some neural target but significantly differ in their invasiveness, spatial selectivity, mechanism of action, and efficacy. Despite these differences, recent analyses of transcranial magnetic stimulation (TMS) and deep brain stimulation (DBS)-treated individuals converged on a common neural network that might have a causal role in treatment response. We set out to investigate if the neuronal underpinnings of electroconvulsive therapy (ECT) are similarly associated with this common causal network (CCN). Our aim here is to provide a comprehensive analysis in three cohorts of patients segregated by electrode placement (N = 246 with right unilateral, 79 with bitemporal, and 61 with mixed) who underwent ECT. We conducted a data-driven, unsupervised multivariate neuroimaging analysis (Principal Component Analysis, PCA) of the cortical and subcortical volume changes and electric field (EF) distribution to explore changes within the CCN associated with antidepressant outcomes. Despite the different treatment modalities (ECT vs TMS and DBS) and methodological approaches (structural vs functional networks), we found a highly similar pattern of change within the CCN in the three cohorts of patients (spatial similarity across 85 regions: r = 0.65, 0.58, 0.40, df = 83). Most importantly, the expression of this pattern correlated with clinical outcomes. This evidence further supports that treatment interventions converge on a CCN in depression. Optimizing modulation of this network could serve to improve the outcome of neurostimulation in depression.
Identifiants
pubmed: 37398308
doi: 10.21203/rs.3.rs-2925196/v1
pmc: PMC10312966
pii:
doi:
Types de publication
Preprint
Langues
eng
Subventions
Organisme : NIMH NIH HHS
ID : R21 MH119616
Pays : United States
Organisme : NIMH NIH HHS
ID : K23 MH120504
Pays : United States
Organisme : NIMH NIH HHS
ID : R01 MH128690
Pays : United States
Organisme : NIMH NIH HHS
ID : U01 MH111826
Pays : United States
Organisme : NIMH NIH HHS
ID : R01 MH111826
Pays : United States
Commentaires et corrections
Type : UpdateIn
Déclaration de conflit d'intérêts
Conflict of Interest Joan A. Campordon is a member of the scientific advisory board of Hyka and Flow Neuroscience and has been a consultant for Mifu Technologies. Rene Hurlemann received lecture fees from Lundbeck, Otsuka, Rovi and honoraria of Atheneum Consultation, Janssen und Rovi. Antoine Yrondi received speaker’s honoraria from AstraZeneca, Lundbeck, Janssen and Jazz. None of the above is related to this data, analysis or the writing of this manuscript. The other authors declared no conflict of interests.