Characterization of gray matter volume changes from one week to 6 months after termination of electroconvulsive therapy in depressed patients.

Brain Depression ECT Magnetic Resonance Imaging Neuroimaging Neuroplasticity

Journal

Brain stimulation
ISSN: 1876-4754
Titre abrégé: Brain Stimul
Pays: United States
ID NLM: 101465726

Informations de publication

Date de publication:
24 Jul 2024
Historique:
received: 09 04 2024
revised: 18 07 2024
accepted: 23 07 2024
medline: 27 7 2024
pubmed: 27 7 2024
entrez: 26 7 2024
Statut: aheadofprint

Résumé

Increased gray matter volume (GMV) following electroconvulsive therapy (ECT) has been well-documented, with limited studies reporting a subsequent decrease in GMV afterwards. This study characterized the reversion pattern of GMV after ECT and its association with clinical depression outcome, using multi-site triple time-point data from the Global ECT-MRI Research Collaboration (GEMRIC). 86 subjects from the GEMRIC database were included, and GMV in 84 regions-of-interest (ROI) was obtained from automatic segmentation of T1 MRI images at three timepoints: pre-ECT (), within one-week post-ECT (), and one to six months post-ECT (). RM-ANOVAs were used to assess longitudinal changes and LMM analyses explored associations between GMV changes and demographical and clinical characteristics. 63 of the 84 ROIs showed a significant increase-and-decrease pattern (RM-ANOVA, Bonferroni corrected p < 0.00059). Post hoc tests indicated a consistent pattern in each of these 63 ROIs: significant increase from to , followed by significant decrease from to and no difference between and , except for both amygdalae, right hippocampus and pars triangularis, which showed the same increase and decrease but GMV at remained higher compared to . No consistent relationship was found between GMV change pattern and clinical status. The GEMRIC cohort confirmed a rapid increase of GMV after ECT followed by reversion of GMV one to six months thereafter. The lack of association between the GMV change pattern and depression outcome scores implies a transient neurobiological effect of ECT unrelated to clinical improvement.

Sections du résumé

BACKGROUND BACKGROUND
Increased gray matter volume (GMV) following electroconvulsive therapy (ECT) has been well-documented, with limited studies reporting a subsequent decrease in GMV afterwards.
OBJECTIVE OBJECTIVE
This study characterized the reversion pattern of GMV after ECT and its association with clinical depression outcome, using multi-site triple time-point data from the Global ECT-MRI Research Collaboration (GEMRIC).
METHODS METHODS
86 subjects from the GEMRIC database were included, and GMV in 84 regions-of-interest (ROI) was obtained from automatic segmentation of T1 MRI images at three timepoints: pre-ECT (), within one-week post-ECT (), and one to six months post-ECT (). RM-ANOVAs were used to assess longitudinal changes and LMM analyses explored associations between GMV changes and demographical and clinical characteristics.
RESULTS RESULTS
63 of the 84 ROIs showed a significant increase-and-decrease pattern (RM-ANOVA, Bonferroni corrected p < 0.00059). Post hoc tests indicated a consistent pattern in each of these 63 ROIs: significant increase from to , followed by significant decrease from to and no difference between and , except for both amygdalae, right hippocampus and pars triangularis, which showed the same increase and decrease but GMV at remained higher compared to . No consistent relationship was found between GMV change pattern and clinical status.
CONCLUSION CONCLUSIONS
The GEMRIC cohort confirmed a rapid increase of GMV after ECT followed by reversion of GMV one to six months thereafter. The lack of association between the GMV change pattern and depression outcome scores implies a transient neurobiological effect of ECT unrelated to clinical improvement.

Identifiants

pubmed: 39059711
pii: S1935-861X(24)00128-1
doi: 10.1016/j.brs.2024.07.015
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Informations de copyright

Copyright © 2024. Published by Elsevier Inc.

Déclaration de conflit d'intérêts

Declaration of Competing Interest ☒ The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper. ☐The authors declare the following financial interests/personal relationships which may be considered as potential competing interests: M. Laroy is an aspirant researcher for the Research Foundation Flanders (FWO, grant no. 1168821 N). M. Vandenbulcke, F. Bouckaert, L. Emsell received funding from KU Leuven Research Fund C24/18/095 and KU Leuven Sequoia Fund for Research on Aging and Mental Health. L. Oltedal received funding from Western Norway Regional Health Authority Grant (No. 912238). O. Paulson and M.B. Jorgensen received support from the Lundbeck Foundation.

Auteurs

Maarten Laroy (M)

KU Leuven, Leuven Brain Institute, Department of Neurosciences, Neuropsychiatry, B-3000 Leuven, Belgium. Electronic address: maarten.laroy@kuleuven.be.

Filip Bouckaert (F)

KU Leuven, Leuven Brain Institute, Department of Neurosciences, Neuropsychiatry, B-3000 Leuven, Belgium; Geriatric Psychiatry, University Psychiatric Center KU Leuven, B-3000, Leuven, Belgium.

Olga Therese Ousdal (OT)

Mohn Medical Imaging and Visualization Center, Department of Radiology, Haukeland University Hospital, Bergen, Norway; Department of Clinical Medicine, University of Bergen Bergen, Norway.

Annemieke Dols (A)

Department of Psychiatry, UMC Utrecht, Division Brain, Utrecht; Department of Psychiatry, Amsterdam Neuroscience, Amsterdam UMC, Amsterdam.

Didi Rhebergen (D)

Department of Psychiatry, Amsterdam Neuroscience, Amsterdam UMC, Amsterdam; Mental Health Institute, GGZ Centraal, Amersfoort, The Netherlands.

Eric van Exel (E)

Department of Psychiatry, Amsterdam Neuroscience, Amsterdam UMC, Amsterdam.

Guido van Wingen (G)

Department of Psychiatry, Amsterdam Neuroscience, Amsterdam UMC, Amsterdam; Amsterdam Neuroscience, Amsterdam, the Netherlands.

Jeroen van Waarde (J)

Department of Psychiatry, Rijnstate Hospital, Arnhem, the Netherlands.

Joey Verdijk (J)

Department of Psychiatry, Rijnstate Hospital, Arnhem, the Netherlands; University of Twente, Department of Clinical Neurophysiology, Enschede, The Netherlands.

Ute Kessler (U)

Department of Clinical Medicine, University of Bergen Bergen, Norway.

Hauke Bartsch (H)

Mohn Medical Imaging and Visualization Center, Department of Radiology, Haukeland University Hospital, Bergen, Norway; Department of Clinical Medicine, University of Bergen Bergen, Norway.

Martin Balslev Jorgensen (MB)

Psychiatric Center Copenhagen, Copenhagen, Denmark; Department of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark.

Olaf B Paulson (OB)

Department of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark; Neurobiology Research Unit, Rigshospitalet, Copenhagen, Denmark.

Pia Nordanskog (P)

Center for Social and Affective Neuroscience, Department of Clinical and Experimental Medicine, Linköping University, Linköping, Sweden.

Joan Prudic (J)

Department of Psychiatry, Columbia University Irving Medical Center.

Pascal Sienaert (P)

KU Leuven, Department of Neurosciences, Academic Centre for ECT and Neuromodulation, B-3000 Leuven, Belgium.

Mathieu Vandenbulcke (M)

KU Leuven, Leuven Brain Institute, Department of Neurosciences, Neuropsychiatry, B-3000 Leuven, Belgium; Geriatric Psychiatry, University Psychiatric Center KU Leuven, B-3000, Leuven, Belgium.

Leif Oltedal (L)

Mohn Medical Imaging and Visualization Center, Department of Radiology, Haukeland University Hospital, Bergen, Norway; Department of Clinical Medicine, University of Bergen Bergen, Norway.

Louise Emsell (L)

KU Leuven, Leuven Brain Institute, Department of Neurosciences, Neuropsychiatry, B-3000 Leuven, Belgium; Geriatric Psychiatry, University Psychiatric Center KU Leuven, B-3000, Leuven, Belgium; KU Leuven, Leuven Brain Institute, Department of Imaging and Pathology, Translational MRI, B-3000 Leuven, Belgium.

Classifications MeSH