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Deng ZD, Ousdal OT, Oltedal L, Angulo B, Baradits M, Spitzberg A, Kessler U, Sartorius A, Dols A, Narr K, Espinoza R, Van Waarde J, Tendolkar I, van Eijndhoven P, van Wingen G, Takamiya A, Kishimoto T, Jorgensen M, Jorgensen A, Paulson O, Yrondi A, Peran P, Soriano-Mas C, Cardoner N, Cano M, van Diermen L, Schrijvers D, Belge JB, Emsell L, Bouckaert F, Vandenbulcke M, Kiebs M, Hurlemann R, Mulders P, Redlich R, Dannlowski U, Kavakbasi E, Kritzer M, Ellard K, Camprodon J, Petrides G, Maholtra A, Abbott C, Argyelan M. Electroconvulsive therapy-induced volumetric brain changes converge on a common causal circuit in depression. Res Sq 2023:rs.3.rs-2925196. [PMID: 37398308 PMCID: PMC10312966 DOI: 10.21203/rs.3.rs-2925196/v1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 07/04/2023]
Abstract
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.
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Affiliation(s)
| | | | - Leif Oltedal
- Department of Clinical Medicine, University of Bergen
| | - Brian Angulo
- Department of Clinical Medicine, University of Bergen
| | - Mate Baradits
- Department of Clinical Medicine, University of Bergen
| | | | - Ute Kessler
- Department of Clinical Medicine, University of Bergen
| | | | - Annemiek Dols
- Geffen School of Medicine at the University of California, Los Angeles
| | - Katherine Narr
- Geffen School of Medicine at the University of California, Los Angeles
| | - Randall Espinoza
- Departments of Neurology, Psychiatry and Biobehavioral Sciences, University of California
| | | | - Indira Tendolkar
- Donders Institute for Brain, Cognition and Behavior, Department of Psychiatry
| | | | | | | | | | | | | | | | | | | | | | - Narcís Cardoner
- Institut d'Investigació Biomèdica Sant Pau (IIB-Sant Pau), Hospital de la Santa Creu i Sant Pau. Centro de Investigación Biomédica en Red de Salud Mental, Instituto de Sa
| | | | | | | | | | | | | | | | | | - Rene Hurlemann
- Institute for Translational Psychiatry, University of Münster
| | - Peter Mulders
- Institute for Translational Psychiatry, University of Münster
| | - Ronny Redlich
- Institute for Translational Psychiatry, University of Münster
| | - Udo Dannlowski
- Institute for Translational Psychiatry, University of Münster
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