Electroconvulsive therapy-induced volumetric brain changes converge on a common causal circuit in depression

  1. Argyelan, Miklos ORCID logo
  2. Deng, Zhi-De ORCID logo
  3. Ousdal, Olga Therese
  4. Oltedal, Leif
  5. Angulo, Brian
  6. Baradits, Mate
  7. Spitzberg, Andrew ORCID logo
  8. Kessler, Ute ORCID logo
  9. Sartorius, Alexander ORCID logo
  10. Dols, Annemiek
  11. Narr, Katherine L.
  12. Espinoza, MD, MPH, Randall ORCID logo
  13. van Waarde, Jeroen A. ORCID logo
  14. Tendolkar, Indira ORCID logo
  15. van Eijndhoven, Philip
  16. van Wingen, Guido ORCID logo
  17. Takamiya, Akihiro ORCID logo
  18. Kishimoto, Taishiro ORCID logo
  19. Jorgensen, Martin Balslev ORCID logo
  20. Jorgensen, Anders ORCID logo
  21. Paulson, Olaf B. ORCID logo
  22. Yrondi, Antoine ORCID logo
  23. Péran, Patrice
  24. Soriano-Mas, Carles ORCID logo
  25. Cardoner, Narcis ORCID logo
  26. Cano, Marta
  27. van Diermen, Linda
  28. Schrijvers, Didier
  29. Belge, Jean-Baptiste
  30. Emsell, Louise ORCID logo
  31. Bouckaert, Filip
  32. Vandenbulcke, Mathieu
  33. Kiebs, Maximilian ORCID logo
  34. Hurlemann, René
  35. Mulders, Peter ORCID logo
  36. Redlich, Ronny
  37. Dannlowski, Udo ORCID logo
  38. Kavakbasi, Erhan
  39. Kritzer, Michael D.
  40. Ellard, Kristen K.
  41. Camprodon, Joan A.
  42. Petrides, Georgios
  43. Malhotra, Anil K.
  44. Abbott, Christopher ORCID logo

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1000 Titel
  • Electroconvulsive therapy-induced volumetric brain changes converge on a common causal circuit in depression
1000 Autor/in
  1. Argyelan, Miklos |
  2. Deng, Zhi-De |
  3. Ousdal, Olga Therese |
  4. Oltedal, Leif |
  5. Angulo, Brian |
  6. Baradits, Mate |
  7. Spitzberg, Andrew |
  8. Kessler, Ute |
  9. Sartorius, Alexander |
  10. Dols, Annemiek |
  11. Narr, Katherine L. |
  12. Espinoza, MD, MPH, Randall |
  13. van Waarde, Jeroen A. |
  14. Tendolkar, Indira |
  15. van Eijndhoven, Philip |
  16. van Wingen, Guido |
  17. Takamiya, Akihiro |
  18. Kishimoto, Taishiro |
  19. Jorgensen, Martin Balslev |
  20. Jorgensen, Anders |
  21. Paulson, Olaf B. |
  22. Yrondi, Antoine |
  23. Péran, Patrice |
  24. Soriano-Mas, Carles |
  25. Cardoner, Narcis |
  26. Cano, Marta |
  27. van Diermen, Linda |
  28. Schrijvers, Didier |
  29. Belge, Jean-Baptiste |
  30. Emsell, Louise |
  31. Bouckaert, Filip |
  32. Vandenbulcke, Mathieu |
  33. Kiebs, Maximilian |
  34. Hurlemann, René |
  35. Mulders, Peter |
  36. Redlich, Ronny |
  37. Dannlowski, Udo |
  38. Kavakbasi, Erhan |
  39. Kritzer, Michael D. |
  40. Ellard, Kristen K. |
  41. Camprodon, Joan A. |
  42. Petrides, Georgios |
  43. Malhotra, Anil K. |
  44. Abbott, Christopher |
1000 Verlag
  • Nature Publishing Group UK
1000 Erscheinungsjahr 2023
1000 Publikationstyp
  1. Artikel |
1000 Online veröffentlicht
  • 2023-11-20
1000 Erschienen in
1000 Quellenangabe
  • 29(2):229-237
1000 Copyrightjahr
  • 2023
1000 Lizenz
1000 Verlagsversion
  • https://doi.org/10.1038/s41380-023-02318-2 |
  • https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11116089/ |
1000 Publikationsstatus
1000 Begutachtungsstatus
1000 Sprache der Publikation
1000 Abstract/Summary
  • <jats:title>Abstract</jats:title><jats:p>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 (<jats:italic>N</jats:italic> = 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: <jats:italic>r</jats:italic> = 0.65, 0.58, 0.40, df = 83). Most importantly, the expression of this pattern correlated with clinical outcomes (<jats:italic>t</jats:italic> = −2.35, <jats:italic>p</jats:italic> = 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.</jats:p>
1000 Sacherschließung
lokal Female [MeSH]
lokal Depressive Disorder, Major/therapy [MeSH]
lokal Electroconvulsive Therapy/methods [MeSH]
lokal Aged [MeSH]
lokal /59/57
lokal Adult [MeSH]
lokal Humans [MeSH]
lokal Treatment Outcome [MeSH]
lokal Middle Aged [MeSH]
lokal /692/53/2423
lokal Deep Brain Stimulation/methods [MeSH]
lokal Cohort Studies [MeSH]
lokal /692/699/476/1414
lokal Neuroimaging/methods [MeSH]
lokal Article
lokal Brain/physiopathology [MeSH]
lokal Male [MeSH]
lokal Depression/therapy [MeSH]
lokal Magnetic Resonance Imaging/methods [MeSH]
lokal Transcranial Magnetic Stimulation/methods [MeSH]
lokal Nerve Net [MeSH]
lokal article
1000 Fächerklassifikation (DDC)
1000 Liste der Beteiligten
  1. https://orcid.org/0000-0002-7254-1776|https://orcid.org/0000-0001-8925-0871|https://frl.publisso.de/adhoc/uri/T3VzZGFsLCBPbGdhIFRoZXJlc2U=|https://frl.publisso.de/adhoc/uri/T2x0ZWRhbCwgTGVpZg==|https://frl.publisso.de/adhoc/uri/QW5ndWxvLCBCcmlhbg==|https://frl.publisso.de/adhoc/uri/QmFyYWRpdHMsIE1hdGU=|https://orcid.org/0000-0001-9379-2075|https://orcid.org/0000-0002-2002-5518|https://orcid.org/0000-0002-1243-3693|https://frl.publisso.de/adhoc/uri/RG9scywgQW5uZW1pZWs=|https://frl.publisso.de/adhoc/uri/TmFyciwgS2F0aGVyaW5lIEwu|https://orcid.org/0000-0003-2895-4212|https://orcid.org/0000-0001-6792-5727|https://orcid.org/0000-0003-3171-3671|https://frl.publisso.de/adhoc/uri/dmFuIEVpam5kaG92ZW4sIFBoaWxpcA==|https://orcid.org/0000-0003-3076-5891|https://orcid.org/0000-0003-2985-6673|https://orcid.org/0000-0003-0557-8648|https://orcid.org/0000-0002-1321-8901|https://orcid.org/0000-0001-6012-6965|https://orcid.org/0000-0001-7712-8596|https://orcid.org/0000-0002-2650-6080|https://frl.publisso.de/adhoc/uri/UMOpcmFuLCBQYXRyaWNl|https://orcid.org/0000-0003-4574-6597|https://orcid.org/0000-0001-9633-0888|https://frl.publisso.de/adhoc/uri/Q2FubywgTWFydGE=|https://frl.publisso.de/adhoc/uri/dmFuIERpZXJtZW4sIExpbmRh|https://frl.publisso.de/adhoc/uri/U2NocmlqdmVycywgRGlkaWVy|https://frl.publisso.de/adhoc/uri/QmVsZ2UsIEplYW4tQmFwdGlzdGU=|https://orcid.org/0000-0003-0011-4158|https://frl.publisso.de/adhoc/uri/Qm91Y2thZXJ0LCBGaWxpcA==|https://frl.publisso.de/adhoc/uri/VmFuZGVuYnVsY2tlLCBNYXRoaWV1|https://orcid.org/0000-0002-4216-2679|https://frl.publisso.de/adhoc/uri/SHVybGVtYW5uLCBSZW7DqQ==|https://orcid.org/0000-0002-7867-5513|https://frl.publisso.de/adhoc/uri/UmVkbGljaCwgUm9ubnk=|https://orcid.org/0000-0002-0623-3759|https://frl.publisso.de/adhoc/uri/S2F2YWtiYXNpLCBFcmhhbg==|https://frl.publisso.de/adhoc/uri/S3JpdHplciwgTWljaGFlbCBELg==|https://frl.publisso.de/adhoc/uri/RWxsYXJkLCBLcmlzdGVuIEsu|https://frl.publisso.de/adhoc/uri/Q2FtcHJvZG9uLCBKb2FuIEEu|https://frl.publisso.de/adhoc/uri/UGV0cmlkZXMsIEdlb3JnaW9z|https://frl.publisso.de/adhoc/uri/TWFsaG90cmEsIEFuaWwgSy4=|https://orcid.org/0000-0001-6884-2464
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    1000 Förderer National Institute of Mental Health |
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1000 Erstellt am 2025-07-07T00:09:19.061+0200
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