Electroconvulsive therapy-induced volumetric brain changes converge on a common causal circuit in depression.
СтатьяПоддержка NIH: внешняя программаПоддержка исследования: вне правительства СШАНазвание и аннотация: Перевод в очереди
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Argyelan Miklos, Deng Zhi-De, Ousdal Olga Therese, Oltedal Leif, Angulo Brian, Baradits Mate, Spitzberg Andrew J, Kessler Ute, Sartorius Alexander, Dols Annemiek, Narr Katherine L, Espinoza Randall, van Waarde Jeroen A, Tendolkar Indira, van Eijndhoven Philip, van Wingen Guido A, Takamiya Akihiro, Kishimoto Taishiro, Jorgensen Martin B, Jorgensen Anders, Paulson Olaf B, Yrondi Antoine, Péran Patrice, Soriano-Mas Carles, Cardoner Narcis, Cano Marta, van Diermen Linda, Schrijvers Didier, Belge Jean-Baptiste, Emsell Louise, Bouckaert Filip, Vandenbulcke Mathieu, Kiebs Maximilian, Hurlemann René, Mulders Peter Cr, Redlich Ronny, Dannlowski Udo, Kavakbasi Erhan, Kritzer Michael D, Ellard Kristen K, Camprodon Joan A, Petrides Georgios, Malhotra Anil K, Abbott Christopher C
Аннотация
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 causal depression network (CDN). 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 CDN 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 CDN 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 (t = -2.35, p = 0.019). This evidence further supports that treatment interventions converge on a CDN in depression. Optimizing modulation of this network could serve to improve the outcome of neurostimulation in depression.