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Deng ZD, Argyelan M, Miller J, Jones TR, Upston J, McClintock SM, Abbott CC. On assumptions and key issues in electric field modeling for ECT. Mol Psychiatry 2024; 29:3289-3290. [PMID: 38671213 PMCID: PMC11449792 DOI: 10.1038/s41380-024-02567-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/17/2023] [Revised: 04/11/2024] [Accepted: 04/16/2024] [Indexed: 04/28/2024]
Affiliation(s)
- Zhi-De Deng
- Noninvasive Neuromodulation Unit, Experimental Therapeutics and Pathophysiology Branch, National Institute of Mental Health, National Institutes of Health, Bethesda, MD, USA
- Department of Psychiatry and Behavioral Sciences, Duke University School of Medicine, Durham, NC, USA
| | - Miklos Argyelan
- Department of Psychiatry, The Zucker Hillside Hospital, Glen Oaks, NY, USA
- Center for Neuroscience, Feinstein Institute for Medical Research, Manhasset, NY, USA
- Zucker School of Medicine at Hofstra/Northwell, Department of Psychiatry, Hempstead, NY, USA
| | - Jeremy Miller
- Department of Psychiatry, University of New Mexico, Albuquerque, NM, USA
| | - Thomas R Jones
- Department of Psychiatry, University of New Mexico, Albuquerque, NM, USA
| | - Joel Upston
- Department of Psychiatry, University of New Mexico, Albuquerque, NM, USA
| | - Shawn M McClintock
- Department of Psychiatry and Behavioral Sciences, Duke University School of Medicine, Durham, NC, USA
- Division of Psychology, Department of Psychiatry, UT Southwestern Medical Center, Dallas, TX, USA
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Liu C, Liu S, Hu X, Guo Z, Xu Y. Fluctuations in resting motor threshold during electroconvulsive and magnetic seizure therapy. Int J Neurosci 2024:1-12. [PMID: 39230589 DOI: 10.1080/00207454.2024.2401418] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/01/2024] [Revised: 08/31/2024] [Accepted: 09/02/2024] [Indexed: 09/05/2024]
Abstract
OBJECTIVES Magnetic seizure therapy (MST) is more benign than electroconvulsive therapy (ECT) in terms of cognitive impairment. However, whether these two 'artificial seizures' facilitate the central motor neural pathway and the motor cortical effects have not been investigated. The study aimed to compare the effects of ECT and MST on motor-evoked potential (MEP) in patients with mental disorders. METHODS Forty-nine patients with mental disorders (major depressive disorder, bipolar disorder type II and schizophrenia [SCZ]) received 6 treatment sessions of vertex MST versus 6 bifrontal ECT treatments in a nonrandomized comparative clinical design. Data on the duration of motor seizures were collected for each treatment. MEP latency and the resting motor threshold (rMT) were measured at baseline and after every two treatments. Comparisons were performed between or within the groups. RESULTS Seizure durations were significantly longer in the ECT group compared to the MST group across multiple sessions. Both MST and ECT demonstrated a significant reduction in rMT in the left and right hemispheres after the fourth (T3) and sixth treatments (T4) compared to baseline (T1). However, there were no significant changes in MEP latency within or between the groups throughout the treatment sessions. The only difference was that the rMT in the left cerebral hemisphere was significantly lower after T4 than after the second treatment (T2). There was no difference in rMT between the ECT and MST groups. CONCLUSIONS Both ECT and MST facilitate the central motor pathway, with a shared mechanism of increased motor cortex excitability.
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Affiliation(s)
- Chaojie Liu
- Department of Psychiatry, The First Hospital of Shanxi Medical University, Taiyuan, Shanxi, China
- First Clinical Medical College, Shanxi Medical University, Taiyuan, Shanxi, China
- Department of Anaesthesiology, Shanxi Province Cancer Hospital (Shanxi Hospital Affiliated to Cancer Hospital, Chinese Academy of Medical Science, Cancer Hospital Affiliated to Shanxi Medical University), Taiyuan, Shanxi, China
| | - Sha Liu
- Department of Psychiatry, The First Hospital of Shanxi Medical University, Taiyuan, Shanxi, China
- Shanxi Key Laboratory of Artificial Intelligence Assisted Diagnosis and Treatment for Mental Disorder, Taiyuan, Shanxi, China
| | - Xiaodong Hu
- Department of Psychiatry, The First Hospital of Shanxi Medical University, Taiyuan, Shanxi, China
| | - Zhenglong Guo
- Department of Psychiatry, The First Hospital of Shanxi Medical University, Taiyuan, Shanxi, China
- First Clinical Medical College, Shanxi Medical University, Taiyuan, Shanxi, China
| | - Yong Xu
- Department of Psychiatry, The First Hospital of Shanxi Medical University, Taiyuan, Shanxi, China
- First Clinical Medical College, Shanxi Medical University, Taiyuan, Shanxi, China
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Abe Y, Erchinger VJ, Ousdal OT, Oltedal L, Tanaka KF, Takamiya A. Neurobiological mechanisms of electroconvulsive therapy for depression: Insights into hippocampal volumetric increases from clinical and preclinical studies. J Neurochem 2024; 168:1738-1750. [PMID: 38238933 DOI: 10.1111/jnc.16054] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/29/2023] [Revised: 12/26/2023] [Accepted: 01/08/2024] [Indexed: 10/04/2024]
Abstract
Depression is a highly prevalent and disabling psychiatric disorder. The hippocampus, which plays a central role in mood regulation and memory, has received considerable attention in depression research. Electroconvulsive therapy (ECT) is the most effective treatment for severe pharmacotherapy-resistant depression. Although the working mechanism of ECT remains unclear, recent magnetic resonance imaging (MRI) studies have consistently reported increased hippocampal volumes following ECT. The clinical implications of these volumetric increases and the specific cellular and molecular significance are not yet fully understood. This narrative review brings together evidence from animal models and human studies to provide a detailed examination of hippocampal volumetric increases following ECT. In particular, our preclinical MRI research using a mouse model is consistent with human findings, demonstrating a marked increase in hippocampal volume following ECT. Notable changes were observed in the ventral hippocampal CA1 region, including dendritic growth and increased synaptic density at excitatory synapses. Interestingly, inhibition of neurogenesis did not affect the ECT-related hippocampal volumetric increases detected on MRI. However, it remains unclear whether these histological and volumetric changes would be correlated with the clinical effect of ECT. Hence, future research on the relationships between cellular changes, ECT-related brain volumetric changes, and antidepressant effect could benefit from a bidirectional translational approach that integrates human and animal models. Such translational research may provide important insights into the mechanisms and potential biomarkers associated with ECT-induced hippocampal volumetric changes, thereby advancing our understanding of ECT for the treatment of depression.
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Affiliation(s)
- Yoshifumi Abe
- Division of Brain Sciences, Institute for Advanced Medical Research, Keio University School of Medicine, Tokyo, Japan
| | - Vera J Erchinger
- Department of Biomedicine, The Faculty of Medicine, University of Bergen, Bergen, Norway
- Mohn Medical Imaging and Visualization Centre, Department of Radiology, Haukeland University Hospital, Bergen, Norway
| | - Olga Therese Ousdal
- Department of Biomedicine, The Faculty of Medicine, University of Bergen, Bergen, Norway
- Mohn Medical Imaging and Visualization Centre, Department of Radiology, Haukeland University Hospital, Bergen, Norway
| | - Leif Oltedal
- Department of Biomedicine, The Faculty of Medicine, University of Bergen, Bergen, Norway
- Mohn Medical Imaging and Visualization Centre, Department of Radiology, Haukeland University Hospital, Bergen, Norway
| | - Kenji F Tanaka
- Division of Brain Sciences, Institute for Advanced Medical Research, Keio University School of Medicine, Tokyo, Japan
| | - Akihiro Takamiya
- Neuropsychiatry, Department of Neurosciences, Leuven Brain Institute, KU Leuven, Leuven, Belgium
- Department of Neuropsychiatry, Keio University School of Medicine, Tokyo, Japan
- Hills Joint Research Laboratory for Future Preventive Medicine and Wellness, Keio University School of Medicine, Tokyo, Japan
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4
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Abe Y, Yokoyama K, Kato T, Yagishita S, Tanaka KF, Takamiya A. Neurogenesis-independent mechanisms of MRI-detectable hippocampal volume increase following electroconvulsive stimulation. Neuropsychopharmacology 2024; 49:1236-1245. [PMID: 38195908 PMCID: PMC11224397 DOI: 10.1038/s41386-023-01791-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/29/2023] [Revised: 11/15/2023] [Accepted: 12/19/2023] [Indexed: 01/11/2024]
Abstract
Electroconvulsive therapy (ECT) is one of the most effective psychiatric treatments but the underlying mechanisms are still unclear. In vivo human magnetic resonance imaging (MRI) studies have consistently reported ECT-induced transient hippocampal volume increases, and an animal model of ECT (electroconvulsive stimulation: ECS) was shown to increase neurogenesis. However, a causal relationship between neurogenesis and MRI-detectable hippocampal volume increases following ECT has not been verified. In this study, mice were randomly allocated into four groups, each undergoing a different number of ECS sessions (e.g., 0, 3, 6, 9). T2-weighted images were acquired using 11.7-tesla MRI. A whole brain voxel-based morphometry analysis was conducted to identify any ECS-induced brain volume changes. Additionally, a histological examination with super-resolution microscopy was conducted to investigate microstructural changes in the brain regions that showed volume changes following ECS. Furthermore, parallel experiments were performed on X-ray-irradiated mice to investigate the causal relationship between neurogenesis and ECS-related volume changes. As a result, we revealed for the first time that ECS induced MRI-detectable, dose-dependent hippocampal volume increase in mice. Furthermore, increased hippocampal volumes following ECS were seen even in mice lacking neurogenesis, suggesting that neurogenesis is not required for the increase. The comprehensive histological analyses identified an increase in excitatory synaptic density in the ventral CA1 as the major contributor to the observed hippocampal volume increase following ECS. Our findings demonstrate that modification of synaptic structures rather than neurogenesis may be the underlying biological mechanism of ECT/ECS-induced hippocampal volume increase.
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Affiliation(s)
- Yoshifumi Abe
- Division of Brain Sciences, Institute for Advanced Medical Research, Keio University School of Medicine, Tokyo, 35 Shinanomachi, Tokyo, Shinju-ku, 160-8582, Japan
| | - Kiichi Yokoyama
- Division of Brain Sciences, Institute for Advanced Medical Research, Keio University School of Medicine, Tokyo, 35 Shinanomachi, Tokyo, Shinju-ku, 160-8582, Japan
| | - Tomonobu Kato
- Division of Brain Sciences, Institute for Advanced Medical Research, Keio University School of Medicine, Tokyo, 35 Shinanomachi, Tokyo, Shinju-ku, 160-8582, Japan
| | - Sho Yagishita
- Laboratory of Structural Physiology, Center for Disease Biology and Integrative Medicine, Faculty of Medicine, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo, 113-0033, Japan
| | - Kenji F Tanaka
- Division of Brain Sciences, Institute for Advanced Medical Research, Keio University School of Medicine, Tokyo, 35 Shinanomachi, Tokyo, Shinju-ku, 160-8582, Japan
| | - Akihiro Takamiya
- Neuropsychiatry, Department of Neurosciences, Leuven Brain Institute, KU Leuven, Leuven, Belgium.
- Department of Neuropsychiatry, Keio University School of Medicine, Tokyo, Japan.
- Hills Joint Research Laboratory for Future Preventive Medicine and Wellness, Keio University School of Medicine, Tokyo, Japan.
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Schreiner JE, Kessler U, Oedegaard KJ, Mardal KA, Oltedal L. Exploring New Electroencephalogram Parameters in Electroconvulsive Therapy. J ECT 2024; 40:20-30. [PMID: 37310067 DOI: 10.1097/yct.0000000000000930] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 06/14/2023]
Abstract
OBJECTIVE This pilot study aims to evaluate a novel metric based on the power spectrum of the EEG recordings from ECT-induced seizures-its association to volume changes in the hippocampus after ECT and improvement in depression rating scores. METHODS Depressed patients treated with ECT underwent brain magnetic resonance imaging before and after treatment and the EEG from each seizure was recorded (N = 29). Hippocampal volume changes and EEG parameters were recorded in addition to clinician-rated and self-reported measures of depressive symptoms. The slope of the power law in the power spectral density of the EEG was calculated. Multivariate linear models relating seizure parameters to volume change or clinical outcome were systematically and successively simplified. The best models were selected according to Akaike information criterion. RESULTS The slope of the power law was steeper in the right than the left hemisphere (P < 0.001). Electroencephalogram measures were included in the best models of volume change for both hippocampi as well as in the models explaining clinical outcome ( P = 0.014, P = 0.004). CONCLUSIONS In this pilot study, novel EEG measures were explored and contributed in models explaining the variation in volume change in the hippocampus and in clinical outcome after ECT.
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Argyelan M, Deng ZD, Ousdal OT, Oltedal L, Angulo B, Baradits M, Spitzberg AJ, Kessler U, Sartorius A, Dols A, Narr KL, Espinoza R, van Waarde JA, Tendolkar I, van Eijndhoven P, van Wingen GA, Takamiya A, Kishimoto T, Jorgensen MB, Jorgensen A, Paulson OB, Yrondi A, Péran 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 PC, Redlich R, Dannlowski U, Kavakbasi E, Kritzer MD, Ellard KK, Camprodon JA, Petrides G, Malhotra AK, Abbott CC. Electroconvulsive therapy-induced volumetric brain changes converge on a common causal circuit in depression. Mol Psychiatry 2024; 29:229-237. [PMID: 37985787 PMCID: PMC11116108 DOI: 10.1038/s41380-023-02318-2] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/11/2023] [Revised: 10/23/2023] [Accepted: 11/06/2023] [Indexed: 11/22/2023]
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 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.
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Affiliation(s)
- Miklos Argyelan
- Feinstein Institutes for Medical Research, Institute of Behavioral Science, Manhasset, NY, USA.
- The Zucker Hillside Hospital, Glen Oaks, NY, USA.
| | - Zhi-De Deng
- Noninvasive Neuromodulation Unit, Experimental Therapeutics and Pathophysiology Branch, National Institute of Mental Health, National Institutes of Health, Bethesda, MD, USA
- Department of Psychiatry and Behavioral Sciences, Duke University School of Medicine, Durham, NC, USA
| | - Olga Therese Ousdal
- Department of Biomedicine, Faculty of Medicine, University of Bergen, Bergen, Norway
- Department of Radiology, Haukeland University Hospital, Bergen, Norway
| | - Leif Oltedal
- Department of Clinical Medicine, University of Bergen, Bergen, Norway
- Mohn Medical Imaging and Visualization Centre, Department of Radiology, Haukeland University Hospital, Bergen, Norway
| | - Brian Angulo
- Feinstein Institutes for Medical Research, Institute of Behavioral Science, Manhasset, NY, USA
| | - Mate Baradits
- Department of Psychiatry and Psychotherapy, Semmelweis University, Budapest, Hungary
| | | | - Ute Kessler
- Department of Psychiatry, Haukeland University Hospital, University of Bergen, Bergen, Hungary
| | - Alexander Sartorius
- Department of Psychiatry and Psychotherapy, Central Institute of Mental Health (CIMH), Medical Faculty Mannheim, University of Heidelberg, Heidelberg, Germany
| | - Annemiek Dols
- Department of Psychiatry, UMC Utrecht Brain Center, University Medical Center Utrecht, Utrecht, The Netherlands
- Amsterdam UMC location Vrije Universiteit Amsterdam, Psychiatry, Neuroscience, Amsterdam, The Netherlands
| | - Katherine L Narr
- Department of Neurology, University of California Los Angeles, Los Angeles, CA, USA
| | - Randall Espinoza
- Department of Psychiatry and Biobehavioral Sciences, University of California Los Angeles, Los Angeles, CA, USA
| | | | - Indira Tendolkar
- Donders Institute for Brain, Cognition and Behavior, Department of Psychiatry, Nijmegen, the Netherlands
| | - Philip van Eijndhoven
- Donders Institute for Brain, Cognition and Behavior, Department of Psychiatry, Nijmegen, the Netherlands
| | - Guido A van Wingen
- Amsterdam UMC location University of Amsterdam, Department of Psychiatry, Amsterdam, The Netherlands
- Amsterdam Neuroscience, Amsterdam, The Netherlands
| | - Akihiro Takamiya
- Department of Neuropsychiatry Keio University School of Medicine, Tokyo, Japan
- Neuropsychiatry, Department of Neurosciences, Leuven Brain Institute, KU Leuven, Belgium
| | - Taishiro Kishimoto
- Hills Joint Research Laboratory for Future Preventive Medicine and Wellness, Keio University School of Medicine, Tokyo, Japan
| | - Martin B Jorgensen
- Psychiatric Center Copenhagen and Department of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark
| | - Anders Jorgensen
- Psychiatric Center Copenhagen and Department of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark
| | - Olaf B Paulson
- Neurobiological Research Unit Rigshospitalet and Department of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark
| | - Antoine Yrondi
- Service de Psychiatrie et Psychologie Médicale, Centre Expert Dépression Résistante, Fondation Fondamental, CHU Toulouse, ToNIC, Toulouse NeuroImaging Center, Univerité de Toulouse, Inserm, UPS, Toulouse, France
| | - Patrice Péran
- ToNIC, Toulouse NeuroImaging Center, Univeristé de Toulouse, Inserm, UPS, Toulouse, France
| | - Carles Soriano-Mas
- Department of Social Psychology and Quantitative Psychology, Universitat de Barcelona-UB, Barcelona, Spain
- Bellvitge Biomedical Research Institute-IDIBELL, Department of Psychiatry, Bellvitge University Hospital, Barcelona, Spain
- CIBERSAM, Carlos III Health Institute, Madrid, Spain
| | - Narcis Cardoner
- CIBERSAM, Carlos III Health Institute, Madrid, Spain
- Sant Pau Mental Health Research Group, Institut d'Investigació Biomèdica Sant Pau (IIB-Sant Pau), Hospital de la Santa Creu i Sant Pau, Barcelona, Spain
- Department of Psychiatry and Forensic Medicine, School of Medicine Bellaterra, Universitat Autònoma de Barcelona, Barcelona, Spain
| | - Marta Cano
- CIBERSAM, Carlos III Health Institute, Madrid, Spain
- Sant Pau Mental Health Research Group, Institut d'Investigació Biomèdica Sant Pau (IIB-Sant Pau), Hospital de la Santa Creu i Sant Pau, Barcelona, Spain
| | - Linda van Diermen
- Department of Psychiatry, Collaborative Antwerp Psychiatric Research Institute (CAPRI), Faculty of Medicine and Health Sciences, University of Antwerp, Antwerp, Belgium
- Psychiatric Center Bethanie, Andreas Vesaliuslaan 39, 2980, Zoersel, Belgium
| | - Didier Schrijvers
- Department of Psychiatry, Collaborative Antwerp Psychiatric Research Institute (CAPRI), Faculty of Medicine and Health Sciences, University of Antwerp, Antwerp, Belgium
- University Psychiatric Center Duffel, Stationstraat 22, Duffel, 2570, Belgium
| | - Jean-Baptiste Belge
- Department of Psychiatry, Collaborative Antwerp Psychiatric Research Institute (CAPRI), Faculty of Medicine and Health Sciences, University of Antwerp, Antwerp, Belgium
- Department of Psychiatry, Radboud University Medical Centre, P.O. Box 9101, 6500 HB, Nijmegen, The Netherlands
| | - Louise Emsell
- Geriatric Psychiatry, University Psychiatric Center-KU Leuven, Leuven, Belgium
| | - Filip Bouckaert
- Geriatric Psychiatry, University Psychiatric Center-KU Leuven, Leuven, Belgium
| | | | - Maximilian Kiebs
- School of Medicine & Health Sciences University Hospital Oldenburg, Oldenburg, Germany
- Department of Psychiatry and Psychotherapy University Hospital Bonn, Bonn, Germany
| | - René Hurlemann
- School of Medicine & Health Sciences University Hospital Oldenburg, Oldenburg, Germany
| | - Peter Cr Mulders
- Donders Institute for Brain, Cognition and Behavior, Department of Psychiatry, Nijmegen, the Netherlands
| | - Ronny Redlich
- Department of Psychology, University of Halle, Halle, Germany
- German Center for Mental Health (DZPG), Site Jena-Magdeburg-Halle, Halle, Germany
| | - Udo Dannlowski
- Department of Translational Psychiatry, University of Muenster, Muenster, Germany
| | - Erhan Kavakbasi
- Department of Mental Health, University of Muenster, Muenster, Germany
| | - Michael D Kritzer
- Department of Psychiatry, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Kristen K Ellard
- Department of Psychiatry, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Joan A Camprodon
- Department of Psychiatry, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | | | - Anil K Malhotra
- Feinstein Institutes for Medical Research, Institute of Behavioral Science, Manhasset, NY, USA
- The Zucker Hillside Hospital, Glen Oaks, NY, USA
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7
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Deng ZD, Robins PL, Regenold W, Rohde P, Dannhauer M, Lisanby SH. How electroconvulsive therapy works in the treatment of depression: is it the seizure, the electricity, or both? Neuropsychopharmacology 2024; 49:150-162. [PMID: 37488281 PMCID: PMC10700353 DOI: 10.1038/s41386-023-01677-2] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/21/2023] [Revised: 06/27/2023] [Accepted: 07/14/2023] [Indexed: 07/26/2023]
Abstract
We have known for nearly a century that triggering seizures can treat serious mental illness, but what we do not know is why. Electroconvulsive Therapy (ECT) works faster and better than conventional pharmacological interventions; however, those benefits come with a burden of side effects, most notably memory loss. Disentangling the mechanisms by which ECT exerts rapid therapeutic benefit from the mechanisms driving adverse effects could enable the development of the next generation of seizure therapies that lack the downside of ECT. The latest research suggests that this goal may be attainable because modifications of ECT technique have already yielded improvements in cognitive outcomes without sacrificing efficacy. These modifications involve changes in how the electricity is administered (both where in the brain, and how much), which in turn impacts the characteristics of the resulting seizure. What we do not completely understand is whether it is the changes in the applied electricity, or in the resulting seizure, or both, that are responsible for improved safety. Answering this question may be key to developing the next generation of seizure therapies that lack these adverse side effects, and ushering in novel interventions that are better, faster, and safer than ECT.
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Affiliation(s)
- Zhi-De Deng
- Noninvasive Neuromodulation Unit, Experimental Therapeutics and Pathophysiology Branch, National Institute of Mental Health, Bethesda, MD, USA
| | - Pei L Robins
- Noninvasive Neuromodulation Unit, Experimental Therapeutics and Pathophysiology Branch, National Institute of Mental Health, Bethesda, MD, USA
| | - William Regenold
- Noninvasive Neuromodulation Unit, Experimental Therapeutics and Pathophysiology Branch, National Institute of Mental Health, Bethesda, MD, USA
| | - Paul Rohde
- Noninvasive Neuromodulation Unit, Experimental Therapeutics and Pathophysiology Branch, National Institute of Mental Health, Bethesda, MD, USA
| | - Moritz Dannhauer
- Noninvasive Neuromodulation Unit, Experimental Therapeutics and Pathophysiology Branch, National Institute of Mental Health, Bethesda, MD, USA
| | - Sarah H Lisanby
- Noninvasive Neuromodulation Unit, Experimental Therapeutics and Pathophysiology Branch, National Institute of Mental Health, Bethesda, MD, USA.
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Takamiya A, Kishimoto T, Mimura M. What Can We Tell About the Effect of Electroconvulsive Therapy on the Human Hippocampus? Clin EEG Neurosci 2023; 54:584-593. [PMID: 34547937 DOI: 10.1177/15500594211044066] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Electroconvulsive therapy (ECT) is the most effective antidepressant treatment, although its mechanisms of action remain unclear. Since 2010, several structural magnetic resonance imaging studies based on a neuroplastic hypothesis have consistently reported increases in the hippocampal volume following ECT. Moreover, volume increases in the human dentate gyrus, where neurogenesis occurs, have also been reported. These results are in line with the preclinical findings of ECT-induced neuroplastic changes, including neurogenesis, gliogenesis, synaptogenesis, and angiogenesis, in rodents and nonhuman primates. Despite this robust evidence of an effect of ECT on hippocampal plasticity, the clinical relevance of these human hippocampal changes continues to be questioned. This narrative review summarizes recent findings regarding ECT-induced hippocampal volume changes. Furthermore, this review also discusses methodological considerations and future directions in this field.
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Affiliation(s)
- Akihiro Takamiya
- Department of Neuropsychiatry, Keio University School of Medicine, Tokyo, Japan
| | - Taishiro Kishimoto
- Department of Neuropsychiatry, Keio University School of Medicine, Tokyo, Japan
| | - Masaru Mimura
- Department of Neuropsychiatry, Keio University School of Medicine, Tokyo, Japan
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9
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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. RESEARCH SQUARE 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] [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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10
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Leaver AM, Espinoza R, Wade B, Narr KL. Parsing the Network Mechanisms of Electroconvulsive Therapy. Biol Psychiatry 2022; 92:193-203. [PMID: 35120710 PMCID: PMC9196257 DOI: 10.1016/j.biopsych.2021.11.016] [Citation(s) in RCA: 20] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/29/2021] [Revised: 11/03/2021] [Accepted: 11/19/2021] [Indexed: 12/17/2022]
Abstract
Electroconvulsive therapy (ECT) is one of the oldest and most effective forms of neurostimulation, wherein electrical current is used to elicit brief, generalized seizures under general anesthesia. When electrodes are positioned to target frontotemporal cortex, ECT is arguably the most effective treatment for severe major depression, with response rates and times superior to other available antidepressant therapies. Neuroimaging research has been pivotal in improving the field's mechanistic understanding of ECT, with a growing number of magnetic resonance imaging studies demonstrating hippocampal plasticity after ECT, in line with evidence of upregulated neurotrophic processes in the hippocampus in animal models. However, the precise roles of the hippocampus and other brain regions in antidepressant response to ECT remain unclear. Seizure physiology may also play a role in antidepressant response to ECT, as indicated by early positron emission tomography, single-photon emission computed tomography, and electroencephalography research and corroborated by recent magnetic resonance imaging studies. In this review, we discuss the evidence supporting neuroplasticity in the hippocampus and other brain regions during and after ECT, and their associations with antidepressant response. We also offer a mechanistic, circuit-level model that proposes that core mechanisms of antidepressant response to ECT involve thalamocortical and cerebellar networks that are active during seizure generalization and termination over repeated ECT sessions, and their interactions with corticolimbic circuits that are dysfunctional prior to treatment and targeted with the electrical stimulus.
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Affiliation(s)
- Amber M Leaver
- Department of Radiology, Feinberg School of Medicine, Northwestern University, Evanston, Illinois.
| | - Randall Espinoza
- Department of Psychiatry and Behavioral Sciences, Geffen School of Medicine, University of California Los Angeles, Los Angeles, California
| | - Benjamin Wade
- Department of Neurology, Geffen School of Medicine, University of California Los Angeles, Los Angeles, California
| | - Katherine L Narr
- Department of Neurology, Geffen School of Medicine, University of California Los Angeles, Los Angeles, California; Department of Psychiatry and Behavioral Sciences, Geffen School of Medicine, University of California Los Angeles, Los Angeles, California
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11
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Multimodal multi-center analysis of electroconvulsive therapy effects in depression: Brainwide gray matter increase without functional changes. Brain Stimul 2022; 15:1065-1072. [DOI: 10.1016/j.brs.2022.07.053] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/05/2022] [Revised: 07/20/2022] [Accepted: 07/25/2022] [Indexed: 11/18/2022] Open
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12
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Deng ZD, Argyelan M, Miller J, Quinn DK, Lloyd M, Jones TR, Upston J, Erhardt E, McClintock SM, Abbott CC. Electroconvulsive therapy, electric field, neuroplasticity, and clinical outcomes. Mol Psychiatry 2022; 27:1676-1682. [PMID: 34853404 PMCID: PMC9095458 DOI: 10.1038/s41380-021-01380-y] [Citation(s) in RCA: 21] [Impact Index Per Article: 10.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/07/2021] [Revised: 10/20/2021] [Accepted: 10/26/2021] [Indexed: 01/08/2023]
Abstract
Electroconvulsive therapy (ECT) remains the gold-standard treatment for patients with depressive episodes, but the underlying mechanisms for antidepressant response and procedure-induced cognitive side effects have yet to be elucidated. Such mechanisms may be complex and involve certain ECT parameters and brain regions. Regarding parameters, the electrode placement (right unilateral or bitemporal) determines the geometric shape of the electric field (E-field), and amplitude determines the E-field magnitude in select brain regions (e.g., hippocampus). Here, we aim to determine the relationships between hippocampal E-field strength, hippocampal neuroplasticity, and antidepressant and cognitive outcomes. We used hippocampal E-fields and volumes generated from a randomized clinical trial that compared right unilateral electrode placement with different pulse amplitudes (600, 700, and 800 mA). Hippocampal E-field strength was variable but increased with each amplitude arm. We demonstrated a linear relationship between right hippocampal E-field and right hippocampal neuroplasticity. Right hippocampal neuroplasticity mediated right hippocampal E-field and antidepressant outcomes. In contrast, right hippocampal E-field was directly related to cognitive outcomes as measured by phonemic fluency. We used receiver operating characteristic curves to determine that the maximal right hippocampal E-field associated with cognitive safety was 112.5 V/m. Right hippocampal E-field strength was related to the whole-brain ratio of E-field strength per unit of stimulation current, but this whole-brain ratio was unrelated to antidepressant or cognitive outcomes. We discuss the implications of optimal hippocampal E-field dosing to maximize antidepressant outcomes and cognitive safety with individualized amplitudes.
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Affiliation(s)
- Zhi-De Deng
- Noninvasive Neuromodulation Unit, Experimental Therapeutics and Pathophysiology Branch, National Institute of Mental Health, National Institutes of Health, Bethesda, MD, USA
- Department of Psychiatry and Behavioral Sciences, Duke University School of Medicine, Durham, NC, USA
| | - Miklos Argyelan
- Department of Psychiatry, The Zucker Hillside Hospital, Glen Oaks, NY, USA
- Center for Neuroscience, Feinstein Institute for Medical Research, Manhasset, NY, USA
- Zucker School of Medicine at Hofstra/Northwell, Department of Psychiatry, Hempstead, NY, USA
| | - Jeremy Miller
- Department of Psychiatry, University of New Mexico, Albuquerque, NM, USA
| | - Davin K Quinn
- Department of Psychiatry, University of New Mexico, Albuquerque, NM, USA
| | - Megan Lloyd
- Department of Psychiatry, University of New Mexico, Albuquerque, NM, USA
| | - Thomas R Jones
- Department of Psychiatry, University of New Mexico, Albuquerque, NM, USA
| | - Joel Upston
- Department of Psychiatry, University of New Mexico, Albuquerque, NM, USA
| | - Erik Erhardt
- Department of Mathematics and Statistics, University of New Mexico, Albuquerque, NM, USA
| | - Shawn M McClintock
- Department of Psychiatry and Behavioral Sciences, Duke University School of Medicine, Durham, NC, USA
- Division of Psychology, Department of Psychiatry, UT Southwestern Medical Center, Dallas, TX, USA
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13
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Takamiya A, Dols A, Emsell L, Abbott C, Yrondi A, Soriano Mas C, Jorgensen MB, Nordanskog P, Rhebergen D, van Exel E, Oudega ML, Bouckaert F, Vandenbulcke M, Sienaert P, Péran P, Cano M, Cardoner N, Jorgensen A, Paulson OB, Hamilton P, Kampe R, Bruin W, Bartsch H, Ousdal OT, Kessler U, van Wingen G, Oltedal L, Kishimoto T. Neural Substrates of Psychotic Depression: Findings From the Global ECT-MRI Research Collaboration. Schizophr Bull 2021; 48:514-523. [PMID: 34624103 PMCID: PMC8886602 DOI: 10.1093/schbul/sbab122] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/14/2022]
Abstract
Psychotic major depression (PMD) is hypothesized to be a distinct clinical entity from nonpsychotic major depression (NPMD). However, neurobiological evidence supporting this notion is scarce. The aim of this study is to identify gray matter volume (GMV) differences between PMD and NPMD and their longitudinal change following electroconvulsive therapy (ECT). Structural magnetic resonance imaging (MRI) data from 8 independent sites in the Global ECT-MRI Research Collaboration (GEMRIC) database (n = 108; 56 PMD and 52 NPMD; mean age 71.7 in PMD and 70.2 in NPMD) were analyzed. All participants underwent MRI before and after ECT. First, cross-sectional whole-brain voxel-wise GMV comparisons between PMD and NPMD were conducted at both time points. Second, in a flexible factorial model, a main effect of time and a group-by-time interaction were examined to identify longitudinal effects of ECT on GMV and longitudinal differential effects of ECT between PMD and NPMD, respectively. Compared with NPMD, PMD showed lower GMV in the prefrontal, temporal and parietal cortex before ECT; PMD showed lower GMV in the medial prefrontal cortex (MPFC) after ECT. Although there was a significant main effect of time on GMV in several brain regions in both PMD and NPMD, there was no significant group-by-time interaction. Lower GMV in the MPFC was consistently identified in PMD, suggesting this may be a trait-like neural substrate of PMD. Longitudinal effect of ECT on GMV may not explain superior ECT response in PMD, and further investigation is needed.
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Affiliation(s)
- Akihiro Takamiya
- Department of Neuropsychiatry, Keio University School of Medicine, Tokyo, Japan,Department of Neurosciences and Neuropsychiatry, Leuven Brain Institute, KU Leuven, Leuven, Belgium
| | - Annemiek Dols
- GGZ inGeest Specialized Mental Health Care, Amsterdam, the Netherlands,Department of Psychiatry, Amsterdam Neuroscience, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
| | - Louise Emsell
- Department of Neurosciences and Neuropsychiatry, Leuven Brain Institute, KU Leuven, Leuven, Belgium
| | - Christopher Abbott
- Department of Psychiatry, University of New Mexico, Albuquerque, NM, USA
| | - Antoine Yrondi
- Service de Psychiatrie et de Psychologie Médicale, Centre Expert Dépression Résistante FondaMental, CHU Toulouse, Hospital Purpan, ToNIC, Toulouse NeuroImaging Center, Université de Toulouse, Inserm, UPS, Toulouse, France
| | - Carles Soriano Mas
- Department of Psychiatry, Bellvitge Biomedical Research Institute-IDIBELL, Barcelona, Spain,CIBERSAM, Carlos III Health Institute, Madrid, Spain,Department of Psychobiology and Methodology in Health Sciences, Universitat Autònoma de Barcelona, Barcelona, Spain
| | - Martin Balslev Jorgensen
- Psychiatric Centre Copenhagen, Copenhagen, Denmark,Institute of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark
| | - Pia Nordanskog
- Department of Clinical and Experimental Medicine, Center for Social and Affective Neuroscience (CSAN), Linköping University, Linköping, Sweden
| | - Didi Rhebergen
- Mental Health Care Institute, GGZ Centraal, Amersfoort, the Netherlands
| | - Eric van Exel
- GGZ inGeest Specialized Mental Health Care, Amsterdam, the Netherlands,Department of Psychiatry, Amsterdam Neuroscience, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
| | - Mardien L Oudega
- GGZ inGeest Specialized Mental Health Care, Amsterdam, the Netherlands,Department of Psychiatry, Amsterdam Neuroscience, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
| | - Filip Bouckaert
- Department of Neurosciences and Neuropsychiatry, Leuven Brain Institute, KU Leuven, Leuven, Belgium
| | - Mathieu Vandenbulcke
- Department of Neurosciences and Neuropsychiatry, Leuven Brain Institute, KU Leuven, Leuven, Belgium
| | - Pascal Sienaert
- Academic Center for ECT and Neurostimulation (AcCENT), University Psychiatric Center (UPC)—KU Leuven, Kortenberg, Belgium
| | - Patrice Péran
- ToNIC, Toulouse NeuroImaging Center, Université de Toulouse, Inserm, UPS, Toulouse, France
| | - Marta Cano
- CIBERSAM, Carlos III Health Institute, Madrid, Spain,Mental Health Department, Unitat de Neurociència Traslacional, Parc Tauli University Hospital, Institut d’Investigació i Innovació Sanitària Parc Taulí (I3PT), Barcelona, Spain,Department of Psychobiology and Methodology of Health Sciences, Universitat Autònoma de Barcelona, Barcelona, Spain
| | - Narcis Cardoner
- Mental Health Department, Unitat de Neurociència Traslacional, Parc Tauli University Hospital, Institut d’Investigació i Innovació Sanitària Parc Taulí (I3PT), Barcelona, Spain
| | - Anders Jorgensen
- Psychiatric Centre Copenhagen, Copenhagen, Denmark,Institute of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark
| | - Olaf B Paulson
- Neurobiological Research Unit, Rigshospitalet, Copenhagen, Denmark
| | - Paul Hamilton
- Department of Biomedical and Clinical Sciences, Center for Social and Affective Neuroscience (CSAN), Linköping University, Linköping, Sweden
| | - Robin Kampe
- Department of Biomedical and Clinical Sciences, Center for Social and Affective Neuroscience (CSAN), Linköping University, Linköping, Sweden
| | - Willem Bruin
- Department of Psychiatry, Amsterdam Neuroscience, Amsterdam UMC, Amsterdam, the Netherlands
| | - Hauke Bartsch
- Department of Radiology, Mohn Medical Imaging and Visualization Centre, Haukeland University Hospital, Bergen, Norway,Department of Research and Innovation, Haukeland University Hospital, Bergen, Norway,Department of Informatics, University of Bergen, Bergen, Norway
| | - Olga Therese Ousdal
- Department of Radiology, Mohn Medical Imaging and Visualization Centre, Haukeland University Hospital, Bergen, Norway,Faculty of Psychology, Centre for Crisis Psychology, University of Bergen, Bergen, Norway
| | - Ute Kessler
- Department of Clinical Medicine, University of Bergen, Bergen, Norway,Division of Psychiatry, NORMENT, Haukeland University Hospital, Bergen, Norway
| | - Guido van Wingen
- Department of Psychiatry, Amsterdam Neuroscience, Amsterdam UMC, Amsterdam, the Netherlands
| | - Leif Oltedal
- Department of Radiology, Mohn Medical Imaging and Visualization Centre, Haukeland University Hospital, Bergen, Norway,Department of Clinical Medicine, University of Bergen, Bergen, Norway
| | - Taishiro Kishimoto
- Department of Neuropsychiatry, Keio University School of Medicine, Tokyo, Japan,To whom correspondence should be addressed; Department of Neuropsychiatry, Keio University School of Medicine, 35 Shinanomachi, Shinjuku-ku, Tokyo 160-8582, Japan; tel: +81-3-5363-3829; fax: +81-3-5379-0187; e-mail:
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