Electroconvulsive therapy-induced volumetric brain changes converge on a common causal circuit in depression
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 differenc...
| Autores: | , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
|---|---|
| Formato: | artículo |
| Fecha de publicación: | 2023 |
| País: | España |
| Recursos: | Universitat Autònoma de Barcelona |
| Repositorio: | Dipòsit Digital de Documents de la UAB |
| Idioma: | inglés |
| OAI Identifier: | oai:ddd.uab.cat:293135 |
| Acesso em linha: | https://ddd.uab.cat/record/293135 https://dx.doi.org/urn:doi:10.1038/s41380-023-02318-2 |
| Access Level: | acceso abierto |
| Palavra-chave: | Depression Predictive markers |
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Electroconvulsive therapy-induced volumetric brain changes converge on a common causal circuit in depressionArgyelan, Miklos|||0000-0002-7254-1776Deng, Zhi-De|||0000-0001-8925-0871Ousdal, Olga Therese|||0000-0002-0728-3141Oltedal, Leif|||0000-0003-3316-7950Angulo, BrianBaradits, MateSpitzberg, Andrew J.|||0000-0001-9379-2075Kessler, UteSartorius, Alexander|||0000-0002-1243-3693Dols, AnnemiekNarr, Katherine L.|||0000-0002-9396-7936Espinoza, Randall|||0000-0003-2895-4212van Waarde, Jeroen A.|||0000-0001-6792-5727Tendolkar, Indira|||0000-0003-3171-3671van Eijndhoven, Philipvan Wingen, Guido|||0000-0003-3076-5891Takamiya, Akihiro|||0000-0003-2985-6673Kishimoto, TaishiroJorgensen, Martin Balslev|||0000-0002-1321-8901Jorgensen, AndersPaulson, Olaf B.|||0000-0001-7712-8596Yrondi, Antoine|||0000-0002-2650-6080Péran, PatriceSoriano-Mas, Carles|||0000-0003-4574-6597Cardoner, Narcís|||0000-0001-9633-0888Cano, Marta|||0000-0003-0675-9483van Diermen, Linda|||0000-0002-3178-4974Schrijvers, DidierBelge, Jean-BaptisteEmsell, Louise|||0000-0003-0011-4158Bouckaert, FilipVandenbulcke, MathieuKiebs, Maximilian|||0000-0002-4216-2679Hurlemann, René|||0000-0003-2628-565XMulders, Peter CR.|||0000-0002-7867-5513Redlich, RonnyDannlowski, Udo|||0000-0002-0623-3759Kavakbasi, ErhanKritzer, Michael D.Ellard, Kristen K.Camprodon, Joan Albert|||0000-0003-1282-9257Petrides, GeorgiosMalhotra, Anil K.Abbott, Christopher|||0000-0001-6884-2464DepressionPredictive markersNeurostimulation 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.Universitat Autònoma de Barcelona 22023-01-0120232023-01-01Articlehttp://purl.org/coar/resource_type/c_6501VoRhttp://purl.org/coar/version/c_970fb48d4fbd8a85info:eu-repo/semantics/articleapplication/pdfhttps://ddd.uab.cat/record/293135https://dx.doi.org/urn:doi:10.1038/s41380-023-02318-2reponame:Dipòsit Digital de Documents de la UABinstname:Universitat Autònoma de BarcelonaInglésengopen accesshttp://purl.org/coar/access_right/c_abf2Aquest document està subjecte a una llicència d'ús Creative Commons. Es permet la reproducció total o parcial, la distribució, la comunicació pública de l'obra i la creació d'obres derivades, fins i tot amb finalitats comercials, sempre i quan es reconegui l'autoria de l'obra original.https://creativecommons.org/licenses/by/4.0/info:eu-repo/semantics/openAccessoai:ddd.uab.cat:2931352026-06-06T12:50:31Z |
| dc.title.none.fl_str_mv |
Electroconvulsive therapy-induced volumetric brain changes converge on a common causal circuit in depression |
| title |
Electroconvulsive therapy-induced volumetric brain changes converge on a common causal circuit in depression |
| spellingShingle |
Electroconvulsive therapy-induced volumetric brain changes converge on a common causal circuit in depression Argyelan, Miklos|||0000-0002-7254-1776 Depression Predictive markers |
| title_short |
Electroconvulsive therapy-induced volumetric brain changes converge on a common causal circuit in depression |
| title_full |
Electroconvulsive therapy-induced volumetric brain changes converge on a common causal circuit in depression |
| title_fullStr |
Electroconvulsive therapy-induced volumetric brain changes converge on a common causal circuit in depression |
| title_full_unstemmed |
Electroconvulsive therapy-induced volumetric brain changes converge on a common causal circuit in depression |
| title_sort |
Electroconvulsive therapy-induced volumetric brain changes converge on a common causal circuit in depression |
| dc.creator.none.fl_str_mv |
Argyelan, Miklos|||0000-0002-7254-1776 Deng, Zhi-De|||0000-0001-8925-0871 Ousdal, Olga Therese|||0000-0002-0728-3141 Oltedal, Leif|||0000-0003-3316-7950 Angulo, Brian Baradits, Mate Spitzberg, Andrew J.|||0000-0001-9379-2075 Kessler, Ute Sartorius, Alexander|||0000-0002-1243-3693 Dols, Annemiek Narr, Katherine L.|||0000-0002-9396-7936 Espinoza, Randall|||0000-0003-2895-4212 van Waarde, Jeroen A.|||0000-0001-6792-5727 Tendolkar, Indira|||0000-0003-3171-3671 van Eijndhoven, Philip van Wingen, Guido|||0000-0003-3076-5891 Takamiya, Akihiro|||0000-0003-2985-6673 Kishimoto, Taishiro Jorgensen, Martin Balslev|||0000-0002-1321-8901 Jorgensen, Anders Paulson, Olaf B.|||0000-0001-7712-8596 Yrondi, Antoine|||0000-0002-2650-6080 Péran, Patrice Soriano-Mas, Carles|||0000-0003-4574-6597 Cardoner, Narcís|||0000-0001-9633-0888 Cano, Marta|||0000-0003-0675-9483 van Diermen, Linda|||0000-0002-3178-4974 Schrijvers, Didier Belge, Jean-Baptiste Emsell, Louise|||0000-0003-0011-4158 Bouckaert, Filip Vandenbulcke, Mathieu Kiebs, Maximilian|||0000-0002-4216-2679 Hurlemann, René|||0000-0003-2628-565X Mulders, Peter CR.|||0000-0002-7867-5513 Redlich, Ronny Dannlowski, Udo|||0000-0002-0623-3759 Kavakbasi, Erhan Kritzer, Michael D. Ellard, Kristen K. Camprodon, Joan Albert|||0000-0003-1282-9257 Petrides, Georgios Malhotra, Anil K. Abbott, Christopher|||0000-0001-6884-2464 |
| author |
Argyelan, Miklos|||0000-0002-7254-1776 |
| author_facet |
Argyelan, Miklos|||0000-0002-7254-1776 Deng, Zhi-De|||0000-0001-8925-0871 Ousdal, Olga Therese|||0000-0002-0728-3141 Oltedal, Leif|||0000-0003-3316-7950 Angulo, Brian Baradits, Mate Spitzberg, Andrew J.|||0000-0001-9379-2075 Kessler, Ute Sartorius, Alexander|||0000-0002-1243-3693 Dols, Annemiek Narr, Katherine L.|||0000-0002-9396-7936 Espinoza, Randall|||0000-0003-2895-4212 van Waarde, Jeroen A.|||0000-0001-6792-5727 Tendolkar, Indira|||0000-0003-3171-3671 van Eijndhoven, Philip van Wingen, Guido|||0000-0003-3076-5891 Takamiya, Akihiro|||0000-0003-2985-6673 Kishimoto, Taishiro Jorgensen, Martin Balslev|||0000-0002-1321-8901 Jorgensen, Anders Paulson, Olaf B.|||0000-0001-7712-8596 Yrondi, Antoine|||0000-0002-2650-6080 Péran, Patrice Soriano-Mas, Carles|||0000-0003-4574-6597 Cardoner, Narcís|||0000-0001-9633-0888 Cano, Marta|||0000-0003-0675-9483 van Diermen, Linda|||0000-0002-3178-4974 Schrijvers, Didier Belge, Jean-Baptiste Emsell, Louise|||0000-0003-0011-4158 Bouckaert, Filip Vandenbulcke, Mathieu Kiebs, Maximilian|||0000-0002-4216-2679 Hurlemann, René|||0000-0003-2628-565X Mulders, Peter CR.|||0000-0002-7867-5513 Redlich, Ronny Dannlowski, Udo|||0000-0002-0623-3759 Kavakbasi, Erhan Kritzer, Michael D. Ellard, Kristen K. Camprodon, Joan Albert|||0000-0003-1282-9257 Petrides, Georgios Malhotra, Anil K. Abbott, Christopher|||0000-0001-6884-2464 |
| author_role |
author |
| author2 |
Deng, Zhi-De|||0000-0001-8925-0871 Ousdal, Olga Therese|||0000-0002-0728-3141 Oltedal, Leif|||0000-0003-3316-7950 Angulo, Brian Baradits, Mate Spitzberg, Andrew J.|||0000-0001-9379-2075 Kessler, Ute Sartorius, Alexander|||0000-0002-1243-3693 Dols, Annemiek Narr, Katherine L.|||0000-0002-9396-7936 Espinoza, Randall|||0000-0003-2895-4212 van Waarde, Jeroen A.|||0000-0001-6792-5727 Tendolkar, Indira|||0000-0003-3171-3671 van Eijndhoven, Philip van Wingen, Guido|||0000-0003-3076-5891 Takamiya, Akihiro|||0000-0003-2985-6673 Kishimoto, Taishiro Jorgensen, Martin Balslev|||0000-0002-1321-8901 Jorgensen, Anders Paulson, Olaf B.|||0000-0001-7712-8596 Yrondi, Antoine|||0000-0002-2650-6080 Péran, Patrice Soriano-Mas, Carles|||0000-0003-4574-6597 Cardoner, Narcís|||0000-0001-9633-0888 Cano, Marta|||0000-0003-0675-9483 van Diermen, Linda|||0000-0002-3178-4974 Schrijvers, Didier Belge, Jean-Baptiste Emsell, Louise|||0000-0003-0011-4158 Bouckaert, Filip Vandenbulcke, Mathieu Kiebs, Maximilian|||0000-0002-4216-2679 Hurlemann, René|||0000-0003-2628-565X Mulders, Peter CR.|||0000-0002-7867-5513 Redlich, Ronny Dannlowski, Udo|||0000-0002-0623-3759 Kavakbasi, Erhan Kritzer, Michael D. Ellard, Kristen K. Camprodon, Joan Albert|||0000-0003-1282-9257 Petrides, Georgios Malhotra, Anil K. Abbott, Christopher|||0000-0001-6884-2464 |
| author2_role |
author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author |
| dc.contributor.none.fl_str_mv |
Universitat Autònoma de Barcelona |
| dc.subject.none.fl_str_mv |
Depression Predictive markers |
| topic |
Depression Predictive markers |
| description |
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. |
| publishDate |
2023 |
| dc.date.none.fl_str_mv |
2 2023-01-01 2023 2023-01-01 |
| dc.type.none.fl_str_mv |
Article http://purl.org/coar/resource_type/c_6501 VoR http://purl.org/coar/version/c_970fb48d4fbd8a85 |
| dc.type.openaire.fl_str_mv |
info:eu-repo/semantics/article |
| format |
article |
| dc.identifier.none.fl_str_mv |
https://ddd.uab.cat/record/293135 https://dx.doi.org/urn:doi:10.1038/s41380-023-02318-2 |
| url |
https://ddd.uab.cat/record/293135 https://dx.doi.org/urn:doi:10.1038/s41380-023-02318-2 |
| dc.language.none.fl_str_mv |
Inglés eng |
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Inglés |
| language |
eng |
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open access http://purl.org/coar/access_right/c_abf2 https://creativecommons.org/licenses/by/4.0/ |
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info:eu-repo/semantics/openAccess |
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open access http://purl.org/coar/access_right/c_abf2 https://creativecommons.org/licenses/by/4.0/ |
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openAccess |
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application/pdf |
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reponame:Dipòsit Digital de Documents de la UAB instname:Universitat Autònoma de Barcelona |
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