TY - JOUR
T1 - Electroconvulsive therapy-induced volumetric brain changes converge on a common causal circuit in depression
AU - Argyelan, Miklos
AU - Deng, Zhi-de
AU - Ousdal, Olga Therese
AU - Oltedal, Leif
AU - Angulo, Brian
AU - Baradits, Mate
AU - Spitzberg, Andrew J.
AU - Kessler, Ute
AU - Sartorius, Alexander
AU - Dols, Annemiek
AU - Narr, Katherine L.
AU - Espinoza, Randall
AU - Van Waarde, Jeroen A.
AU - Tendolkar, Indira
AU - Van Eijndhoven, Philip
AU - Van Wingen, Guido A.
AU - Takamiya, Akihiro
AU - Kishimoto, Taishiro
AU - Jorgensen, Martin B.
AU - Jorgensen, Anders
AU - Paulson, Olaf B.
AU - Yrondi, Antoine
AU - Péran, Patrice
AU - Soriano-mas, Carles
AU - Cardoner, Narcis
AU - Cano, Marta
AU - Van Diermen, Linda
AU - Schrijvers, Didier
AU - Belge, Jean-baptiste
AU - Emsell, Louise
AU - Bouckaert, Filip
AU - Vandenbulcke, Mathieu
AU - Kiebs, Maximilian
AU - Hurlemann, René
AU - Mulders, Peter Cr.
AU - Redlich, Ronny
AU - Dannlowski, Udo
AU - Kavakbasi, Erhan
AU - Kritzer, Michael D.
AU - Ellard, Kristen K.
AU - Camprodon, Joan A.
AU - Petrides, Georgios
AU - Malhotra, Anil K.
AU - Abbott, Christopher C.
PY - 2024
Y1 - 2024
N2 - 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.
AB - 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.
U2 - 10.1038/s41380-023-02318-2
DO - 10.1038/s41380-023-02318-2
M3 - Journal article
C2 - 37985787
VL - 29
SP - 229
EP - 237
JO - Molecular Psychiatry
JF - Molecular Psychiatry
SN - 1359-4184
IS - 2
ER -