Electroconvulsive therapy-induced volumetric brain changes converge on a common causal circuit in depression
Publikation: Working paper › Preprint › Forskning
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Electroconvulsive therapy-induced volumetric brain changes converge on a common causal circuit in depression. / Deng, Zhi-De; Ousdal, Olga Theresa; Oltedal, Leif; Angulo, Brian; Baradits, Mate; Spitzberg, Andrew; Kessler, Ute; Sartorius, Alexander; Dols, Annemiek; Narr, Katherine; Espinoza, Randall; Waarde, Jeroen Van; Tendolkar, Indira; van Eijndhoven, Philip; van Wingen, Guido; Takamiya, Akihiro; Kishimoto, Taishiro; Jorgensen, Martin; Jorgensen, Anders; Paulson, Olaf; Yrondi, Antoine; Peran, Patrice; Soriano-Mas, Carles; Cardoner, Narcís; Cano, Marta; van Diermen, Linda; Schrijvers, Didier; Belge, Jean-Baptiste; Emsell, Louise; Bouckaert, Filip; Vandenbulcke, Mathieu; Kiebs, Maximilian; Hurlemann, Rene; Mulders, Peter; Redlich, Ronny; Dannlowski, Udo; Kavakbasi, Erhan; Kritzer, Michael; Ellard, Kristen; Camprodon, Joan; Petrides, Georgios; Maholtra, Anil; Abbott, Christopher; Argyelan, Miklos.
Research Square, 2023. s. 1-19.Publikation: Working paper › Preprint › Forskning
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TY - UNPB
T1 - Electroconvulsive therapy-induced volumetric brain changes converge on a common causal circuit in depression
AU - Deng, Zhi-De
AU - Ousdal, Olga Theresa
AU - Oltedal, Leif
AU - Angulo, Brian
AU - Baradits, Mate
AU - Spitzberg, Andrew
AU - Kessler, Ute
AU - Sartorius, Alexander
AU - Dols, Annemiek
AU - Narr, Katherine
AU - Espinoza, Randall
AU - Waarde, Jeroen Van
AU - Tendolkar, Indira
AU - van Eijndhoven, Philip
AU - van Wingen, Guido
AU - Takamiya, Akihiro
AU - Kishimoto, Taishiro
AU - Jorgensen, Martin
AU - Jorgensen, Anders
AU - Paulson, Olaf
AU - Yrondi, Antoine
AU - Peran, Patrice
AU - Soriano-Mas, Carles
AU - Cardoner, Narcís
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, Rene
AU - Mulders, Peter
AU - Redlich, Ronny
AU - Dannlowski, Udo
AU - Kavakbasi, Erhan
AU - Kritzer, Michael
AU - Ellard, Kristen
AU - Camprodon, Joan
AU - Petrides, Georgios
AU - Maholtra, Anil
AU - Abbott, Christopher
AU - Argyelan, Miklos
PY - 2023
Y1 - 2023
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 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.
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 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.
U2 - 10.21203/rs.3.rs-2925196/v1
DO - 10.21203/rs.3.rs-2925196/v1
M3 - Preprint
C2 - 37398308
T3 - Research square
SP - 1
EP - 19
BT - Electroconvulsive therapy-induced volumetric brain changes converge on a common causal circuit in depression
PB - Research Square
ER -
ID: 364359684