1
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Bruin WB, Oltedal L, Bartsch H, Abbott C, Argyelan M, Barbour T, Camprodon J, Chowdhury S, Espinoza R, Mulders P, Narr K, Oudega M, Rhebergen D, Ten Doesschate F, Tendolkar I, van Eijndhoven P, van Exel E, van Verseveld M, Wade B, van Waarde J, Zhutovsky P, Dols A, van Wingen G. Development and validation of a multimodal neuroimaging biomarker for electroconvulsive therapy outcome in depression: a multicenter machine learning analysis. Psychol Med 2024; 54:495-506. [PMID: 37485692 DOI: 10.1017/s0033291723002040] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 07/25/2023]
Abstract
BACKGROUND Electroconvulsive therapy (ECT) is the most effective intervention for patients with treatment resistant depression. A clinical decision support tool could guide patient selection to improve the overall response rate and avoid ineffective treatments with adverse effects. Initial small-scale, monocenter studies indicate that both structural magnetic resonance imaging (sMRI) and functional MRI (fMRI) biomarkers may predict ECT outcome, but it is not known whether those results can generalize to data from other centers. The objective of this study was to develop and validate neuroimaging biomarkers for ECT outcome in a multicenter setting. METHODS Multimodal data (i.e. clinical, sMRI and resting-state fMRI) were collected from seven centers of the Global ECT-MRI Research Collaboration (GEMRIC). We used data from 189 depressed patients to evaluate which data modalities or combinations thereof could provide the best predictions for treatment remission (HAM-D score ⩽7) using a support vector machine classifier. RESULTS Remission classification using a combination of gray matter volume and functional connectivity led to good performing models with average 0.82-0.83 area under the curve (AUC) when trained and tested on samples coming from the three largest centers (N = 109), and remained acceptable when validated using leave-one-site-out cross-validation (0.70-0.73 AUC). CONCLUSIONS These results show that multimodal neuroimaging data can be used to predict remission with ECT for individual patients across different treatment centers, despite significant variability in clinical characteristics across centers. Future development of a clinical decision support tool applying these biomarkers may be feasible.
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Affiliation(s)
- Willem Benjamin Bruin
- Amsterdam UMC, University of Amsterdam, Department of Psychiatry, Amsterdam Neuroscience, Amsterdam, The Netherlands
| | - Leif Oltedal
- Mohn Medical Imaging and Visualization Centre, Department of Radiology, Haukeland University Hospital, Bergen, Norway
- Department of Clinical Medicine, University of Bergen, Bergen, Norway
| | - Hauke Bartsch
- Mohn Medical Imaging and Visualization Centre, Department of Radiology, Haukeland University Hospital, Bergen, Norway
| | - Christopher Abbott
- Department of Psychiatry, University of New Mexico, Albuquerque, NM, USA
| | - Miklos Argyelan
- The Feinstein Institutes for Medical Research, Manhasset, NY, USA
- The Zucker Hillside Hospital, Glen Oaks, NY, USA
| | - Tracy Barbour
- Division of Neuropsychiatry and Neuromodulation, Massachusetts General Hospital, Harvard Medical School. Boston, MA, USA
| | - Joan Camprodon
- Division of Neuropsychiatry and Neuromodulation, Massachusetts General Hospital, Harvard Medical School. Boston, MA, USA
| | - Samadrita Chowdhury
- Division of Neuropsychiatry and Neuromodulation, Massachusetts General Hospital, Harvard Medical School. Boston, MA, USA
| | - Randall Espinoza
- Department of Psychiatry and Biobehavioral Sciences, UCLA, Los Angeles, USA
| | - Peter Mulders
- Donders Institute for Brain, Cognition and Behavior, Department of Psychiatry, Nijmegen, The Netherlands
| | - Katherine Narr
- Ahmanson-Lovelace Brain Mapping Center, Departments of Neurology, and Psychiatry and Biobehavioral Sciences, UCLA, Los Angeles, USA
| | - Mardien Oudega
- Department of Old Age Psychiatry, GGZinGeest, Department of Psychiatry, Amsterdam UMC, location VUmc, Amsterdam Neuroscience, Amsterdam, The Netherlands
| | - Didi Rhebergen
- Mental Health Institute GGZ Centraal, Amersfoort; Department of Psychiatry, Amsterdam UMC, location VUmc, Amsterdam Neuroscience, Amsterdam, The Netherlands
| | - Freek Ten Doesschate
- Amsterdam UMC, University of Amsterdam, Department of Psychiatry, Amsterdam Neuroscience, Amsterdam, The Netherlands
- Rijnstate, Department of Psychiatry, Arnhem, The Netherlands
| | - 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
| | - Eric van Exel
- Department of Old Age Psychiatry, GGZinGeest, Department of Psychiatry, Amsterdam UMC, location VUmc, Amsterdam Neuroscience, Amsterdam, The Netherlands
| | | | - Benjamin Wade
- Ahmanson-Lovelace Brain Mapping Center, Department of Neurology, UCLA, Los Angeles, USA
| | | | - Paul Zhutovsky
- Amsterdam UMC, University of Amsterdam, Department of Psychiatry, Amsterdam Neuroscience, Amsterdam, The Netherlands
| | - Annemiek Dols
- Department of Old Age Psychiatry, GGZinGeest, Department of Psychiatry, Amsterdam UMC, location VUmc, Amsterdam Neuroscience, Amsterdam, The Netherlands
| | - Guido van Wingen
- Amsterdam UMC, University of Amsterdam, Department of Psychiatry, Amsterdam Neuroscience, Amsterdam, The Netherlands
- Amsterdam Brain and Cognition, University of Amsterdam, The Netherlands
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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: 3] [Impact Index Per Article: 3.0] [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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3
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Brooks JO, Kruse JL, Kubicki A, Hellemann G, Espinoza RT, Irwin MR, Narr KL. Structural brain plasticity and inflammation are independently related to changes in depressive symptoms six months after an index ECT course. Psychol Med 2024; 54:108-116. [PMID: 36600668 DOI: 10.1017/s0033291722003555] [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] [Indexed: 01/06/2023]
Abstract
BACKGROUND Electroconvulsive therapy (ECT) is effective for treatment-resistant depression and leads to short-term structural brain changes and decreases in the inflammatory response. However, little is known about how brain structure and inflammation relate to the heterogeneity of treatment response in the months following an index ECT course. METHODS A naturalistic six-month study following an index ECT course included 20 subjects with treatment-resistant depression. Upon conclusion of the index ECT course and again after six months, structural magnetic resonance imaging scans and peripheral inflammation measures [interleukin-6 (IL-6), IL-8, tumor necrosis factor (TNF-α), and C-reactive protein] were obtained. Voxel-based morphometry processed with the CAT-12 Toolbox was used to estimate changes in gray matter volume. RESULTS Between the end of the index ECT course and the end of follow-up, we found four clusters of significant decreases in gray matter volume (p < 0.01, FWE) and no regions of increased volume. Decreased HAM-D scores were significantly related only to reduced IL-8 level. Decreased volume in one cluster, which included the right insula and Brodmann's Area 22, was related to increased HAM-D scores over six months. IL-8 levels did not mediate or moderate the relationship between volumetric change and depression. CONCLUSIONS Six months after an index ECT course, multiple regions of decreased gray matter volume were observed in a naturalistic setting. The independent relations between brain volume and inflammation to depressive symptoms suggest novel explanations of the heterogeneity of longer-term ECT treatment response.
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Affiliation(s)
- John O Brooks
- Department of Psychiatry and Biobehavioral Sciences, Semel Institute for Neuroscience and Human Behavior, University of California, Los Angeles, CA, USA
| | - Jennifer L Kruse
- Department of Psychiatry and Biobehavioral Sciences, Semel Institute for Neuroscience and Human Behavior, University of California, Los Angeles, CA, USA
| | - Antoni Kubicki
- Department of Psychiatry and Biobehavioral Sciences, Semel Institute for Neuroscience and Human Behavior, University of California, Los Angeles, CA, USA
- Department of Neurology, Ahmanson-Lovelace Brain Mapping Center, Geffen School of Medicine at the University of California, Los Angeles, CA, USA
| | | | - Randall T Espinoza
- Department of Psychiatry and Biobehavioral Sciences, Semel Institute for Neuroscience and Human Behavior, University of California, Los Angeles, CA, USA
| | - Michael R Irwin
- Department of Psychiatry and Biobehavioral Sciences, Semel Institute for Neuroscience and Human Behavior, University of California, Los Angeles, CA, USA
| | - Katherine L Narr
- Department of Psychiatry and Biobehavioral Sciences, Semel Institute for Neuroscience and Human Behavior, University of California, Los Angeles, CA, USA
- Department of Neurology, Ahmanson-Lovelace Brain Mapping Center, Geffen School of Medicine at the University of California, Los Angeles, CA, USA
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4
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Pottkämper JCM, Verdijk JPAJ, Aalbregt E, Stuiver S, van de Mortel L, Norris DG, van Putten MJAM, Hofmeijer J, van Wingen GA, van Waarde JA. Changes in postictal cerebral perfusion are related to the duration of electroconvulsive therapy-induced seizures. Epilepsia 2024; 65:177-189. [PMID: 37973611 DOI: 10.1111/epi.17831] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/23/2023] [Revised: 11/14/2023] [Accepted: 11/14/2023] [Indexed: 11/19/2023]
Abstract
OBJECTIVE Postictal symptoms may result from cerebral hypoperfusion, which is possibly a consequence of seizure-induced vasoconstriction. Longer seizures have previously been shown to cause more severe postictal hypoperfusion in rats and epilepsy patients. We studied cerebral perfusion after generalized seizures elicited by electroconvulsive therapy (ECT) and its relation to seizure duration. METHODS Patients with a major depressive episode who underwent ECT were included. During treatment, 21-channel continuous electroencephalogram (EEG) was recorded. Arterial spin labeling magnetic resonance imaging scans were acquired before the ECT course (baseline) and approximately 1 h after an ECT-induced seizure (postictal) to quantify global and regional gray matter cerebral blood flow (CBF). Seizure duration was assessed from the period of epileptiform discharges on the EEG. Healthy controls were scanned twice to assess test-retest variability. We performed hypothesis-driven Bayesian analyses to study the relation between global and regional perfusion changes and seizure duration. RESULTS Twenty-four patients and 27 healthy controls were included. Changes in postictal global and regional CBF were correlated with seizure duration. In patients with longer seizure durations, global decrease in CBF reached values up to 28 mL/100 g/min. Regional reductions in CBF were most prominent in the inferior frontal gyrus, cingulate gyrus, and insula (up to 35 mL/100 g/min). In patients with shorter seizures, global and regional perfusion increased (up to 20 mL/100 g/min). These perfusion changes were larger than changes observed in healthy controls, with a maximum median global CBF increase of 12 mL/100 g/min and a maximum median global CBF decrease of 20 mL/100 g/min. SIGNIFICANCE Seizure duration is a key factor determining postictal perfusion changes. In future studies, seizure duration needs to be considered as a confounding factor due to its opposite effect on postictal perfusion.
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Affiliation(s)
- Julia C M Pottkämper
- Clinical Neurophysiology Group, University of Twente, Enschede, the Netherlands
- Department of Psychiatry, Rijnstate Hospital, Arnhem, the Netherlands
| | - Joey P A J Verdijk
- Clinical Neurophysiology Group, University of Twente, Enschede, the Netherlands
- Department of Psychiatry, Rijnstate Hospital, Arnhem, the Netherlands
| | - Eva Aalbregt
- Department of Radiology and Nuclear Medicine, Amsterdam University Medical Center Location Academic Medical Center, Amsterdam, the Netherlands
| | - Sven Stuiver
- Clinical Neurophysiology Group, University of Twente, Enschede, the Netherlands
- Department of Psychiatry, Rijnstate Hospital, Arnhem, the Netherlands
| | - Laurens van de Mortel
- Department of Psychiatry, Amsterdam University Medical Center Location Academic Medical Center, Amsterdam, the Netherlands
| | - David G Norris
- Clinical Neurophysiology Group, University of Twente, Enschede, the Netherlands
- Donders Institute for Brain, Cognition, and Behavior, Radboud University, Nijmegen, the Netherlands
| | - Michel J A M van Putten
- Clinical Neurophysiology Group, University of Twente, Enschede, the Netherlands
- Department of Neurology and Clinical Neurophysiology, Medisch Spectrum Twente, Enschede, the Netherlands
| | - Jeannette Hofmeijer
- Clinical Neurophysiology Group, University of Twente, Enschede, the Netherlands
- Department of Neurology, Rijnstate Hospital, Arnhem, the Netherlands
| | - Guido A van Wingen
- Department of Psychiatry, Amsterdam University Medical Center Location Academic Medical Center, Amsterdam, the Netherlands
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5
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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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6
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Frid LM, Kessler U, Ousdal OT, Hammar Å, Haavik J, Riemer F, Hirnstein M, Ersland L, Erchinger VJ, Ronold EH, Nygaard G, Jakobsen P, Craven AR, Osnes B, Alisauskiene R, Bartsch H, Le Hellard S, Stavrum AK, Oedegaard KJ, Oltedal L. Neurobiological mechanisms of ECT and TMS treatment in depression: study protocol of a multimodal magnetic resonance investigation. BMC Psychiatry 2023; 23:791. [PMID: 37904091 PMCID: PMC10617235 DOI: 10.1186/s12888-023-05239-0] [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: 09/15/2023] [Accepted: 09/30/2023] [Indexed: 11/01/2023] Open
Abstract
BACKGROUND Noninvasive neurostimulation treatments are increasingly being used to treat major depression, which is a common cause of disability worldwide. While electroconvulsive therapy (ECT) and transcranial magnetic stimulation (TMS) are both effective in treating depressive episodes, their mechanisms of action are, however, not completely understood. ECT is given under general anesthesia, where an electrical pulse is administered through electrodes placed on the patient's head to trigger a seizure. ECT is used for the most severe cases of depression and is usually not prescribed before other options have failed. With TMS, brain stimulation is achieved through rapidly changing magnetic fields that induce electric currents underneath a ferromagnetic coil. Its efficacy in depressive episodes has been well documented. This project aims to identify the neurobiological underpinnings of both the effects and side effects of the neurostimulation techniques ECT and TMS. METHODS The study will utilize a pre-post case control longitudinal design. The sample will consist of 150 subjects: 100 patients (bipolar and major depressive disorder) who are treated with either ECT (N = 50) or TMS (N = 50) and matched healthy controls (N = 50) not receiving any treatment. All participants will undergo multimodal magnetic resonance imaging (MRI) as well as neuropsychological and clinical assessments at multiple time points before, during and after treatment. Arterial spin labeling MRI at baseline will be used to test whether brain perfusion can predict outcomes. Signs of brain disruption, potentiation and rewiring will be explored with resting-state functional MRI, magnetic resonance spectroscopy and multishell diffusion weighted imaging (DWI). Clinical outcome will be measured by clinician assessed and patient reported outcome measures. Memory-related side effects will be investigated, and specific tests of spatial navigation to test hippocampal function will be administered both before and after treatment. Blood samples will be stored in a biobank for future analyses. The observation time is 6 months. Data will be explored in light of the recently proposed disrupt, potentiate and rewire (DPR) hypothesis. DISCUSSION The study will contribute data and novel analyses important for our understanding of neurostimulation as well as for the development of enhanced and more personalized treatment. TRIAL REGISTRATION ClinicalTrials.gov Identifier: NCT05135897.
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Affiliation(s)
- Leila Marie Frid
- Mohn Medical Imaging and Visualization Centre, Department of Radiology, Haukeland University Hospital, Bergen, Norway
| | - Ute Kessler
- Department of Clinical Medicine, University of Bergen, Bergen, Norway
- Division of Psychiatry, Haukeland University Hospital, Bergen, Norway
| | - Olga Therese Ousdal
- Mohn Medical Imaging and Visualization Centre, Department of Radiology, Haukeland University Hospital, Bergen, Norway
- Department of Biomedicine, University of Bergen, Bergen, Norway
| | - Åsa Hammar
- Department of Biological and Medical Psychology, University of Bergen, Bergen, Norway
- Department of Clinical Sciences Lund, Psychiatry, Faculty of Medicine, Lund University, Lund, Sweden
- Office for Psychiatry and Habilitation, , Psychiatry Research Skåne, Region Skåne, Sweden
| | - Jan Haavik
- Division of Psychiatry, Haukeland University Hospital, Bergen, Norway
- Department of Biomedicine, University of Bergen, Bergen, Norway
| | - Frank Riemer
- Mohn Medical Imaging and Visualization Centre, Department of Radiology, Haukeland University Hospital, Bergen, Norway
| | - Marco Hirnstein
- Department of Biological and Medical Psychology, University of Bergen, Bergen, Norway
| | - Lars Ersland
- Department of Clinical Engineering, Haukeland University Hospital, Bergen, Norway
| | - Vera Jane Erchinger
- Mohn Medical Imaging and Visualization Centre, Department of Radiology, Haukeland University Hospital, Bergen, Norway
| | - Eivind Haga Ronold
- Department of Biological and Medical Psychology, University of Bergen, Bergen, Norway
- Department of Neurology, Haukeland University Hospital, Bergen, Norway
| | - Gyrid Nygaard
- Department of Clinical Medicine, University of Bergen, Bergen, Norway
- Division of Psychiatry, Haukeland University Hospital, Bergen, Norway
| | - Petter Jakobsen
- Department of Clinical Medicine, University of Bergen, Bergen, Norway
- NORMENT, Division of Psychiatry, Haukeland University Hospital, Bergen, Norway
| | - Alexander R Craven
- Department of Biological and Medical Psychology, University of Bergen, Bergen, Norway
- Department of Clinical Engineering, Haukeland University Hospital, Bergen, Norway
| | - Berge Osnes
- Department of Clinical Psychology, University of Bergen, Bergen, Norway
| | | | - Hauke Bartsch
- Mohn Medical Imaging and Visualization Centre, Department of Radiology, Haukeland University Hospital, Bergen, Norway
| | - Stephanie Le Hellard
- NORMENT, Department of Clinical Science, University of Bergen, Bergen, Norway
- Dr. Einar Martens Research Group for Biological Psychiatry, Department of Medical Genetics, Haukeland University Hospital, Bergen, Norway
| | - Anne-Kristin Stavrum
- NORMENT, Department of Clinical Science, University of Bergen, Bergen, Norway
- Dr. Einar Martens Research Group for Biological Psychiatry, Department of Medical Genetics, Haukeland University Hospital, Bergen, Norway
| | - Ketil J Oedegaard
- Department of Clinical Medicine, University of Bergen, Bergen, Norway
- NORMENT, Division of Psychiatry, Haukeland University Hospital, Bergen, Norway
| | - Leif Oltedal
- Mohn Medical Imaging and Visualization Centre, Department of Radiology, Haukeland University Hospital, Bergen, Norway.
- Department of Clinical Medicine, University of Bergen, Bergen, Norway.
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Chen X, Yang H, Cui LB, Li X. Neuroimaging study of electroconvulsive therapy for depression. Front Psychiatry 2023; 14:1170625. [PMID: 37363178 PMCID: PMC10289201 DOI: 10.3389/fpsyt.2023.1170625] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/21/2023] [Accepted: 05/23/2023] [Indexed: 06/28/2023] Open
Abstract
Electroconvulsive therapy (ECT) is an important treatment for depression. Although it is known as the most effective acute treatment for severe mood disorders, its therapeutic mechanism is still unclear. With the rapid development of neuroimaging technology, various neuroimaging techniques have been available to explore the alterations of the brain by ECT, such as structural magnetic resonance imaging, functional magnetic resonance imaging, magnetic resonance spectroscopy, positron emission tomography, single photon emission computed tomography, arterial spin labeling, etc. This article reviews studies in neuroimaging on ECT for depression. These findings suggest that the neurobiological mechanism of ECT may regulate the brain functional activity, and neural structural plasticity, as well as balance the brain's neurotransmitters, which finally achieves a therapeutic effect.
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Affiliation(s)
- Xiaolu Chen
- The First Branch, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Hanjie Yang
- Department of Neurology, The Thirteenth People’s Hospital of Chongqing, Chongqing, China
| | - Long-Biao Cui
- Department of Radiology, The First Affiliated Hospital of Xi’an Jiaotong University, Xi’an, China
- Schizophrenia Imaging Lab, Fourth Military Medical University, Xi’an, China
| | - Xiao Li
- Department of Psychiatry, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
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8
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Salani D, Goldin D, Valdes B, DeSantis J. Electroconvulsive Therapy for Treatment-Resistant Depression: Dispelling the Stigma. J Psychosoc Nurs Ment Health Serv 2023:1-7. [PMID: 36853035 DOI: 10.3928/02793695-20230222-02] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/01/2023]
Abstract
The current article is a comprehensive overview of electroconvulsive therapy (ECT) for treatment-resistant depression (TRD), especially with suicidality and psychosis. Common misconceptions and stigma associated with ECT are discussed. Major depressive disorder, one of the most prevalent lifetime mental disorders, is often associated with significant impairments that impacts one's ability to function. Antidepressants may be efficacious in treating depression; however, approximately one third of individuals do not respond to psychotropic medications. Therefore, other treatment options, such as ECT, must be considered for those who do not respond to medications, have psychosis, or are suicidal. [Journal of Psychosocial Nursing and Mental Health Services, xx(x), xx-xx.].
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9
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Bracht T, Walther S, Breit S, Mertse N, Federspiel A, Meyer A, Soravia LM, Wiest R, Denier N. Distinct and shared patterns of brain plasticity during electroconvulsive therapy and treatment as usual in depression: an observational multimodal MRI-study. Transl Psychiatry 2023; 13:6. [PMID: 36627288 PMCID: PMC9832014 DOI: 10.1038/s41398-022-02304-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/27/2022] [Revised: 12/16/2022] [Accepted: 12/30/2022] [Indexed: 01/11/2023] Open
Abstract
Electroconvulsive therapy (ECT) is a highly effective treatment for depression. Previous studies point to ECT-induced volume increase in the hippocampi and amygdalae, and to increase in cortical thickness. However, it is unclear if these neuroplastic changes are associated with treatment response. This observational study aimed to address this research question by comparing neuroplasticity between patients with depression receiving ECT and patients with depression that respond to treatment as usual (TAU-responders). Twenty ECT-patients (16 major depressive disorder (MDD), 4 depressed bipolar disorder), 20 TAU-responders (20 MDD) and 20 healthy controls (HC) were scanned twice with multimodal magnetic resonance imaging (structure: MP2RAGE; perfusion: arterial spin labeling). ECT-patients were scanned before and after an ECT-index series (ECT-group). TAU-responders were scanned during a depressive episode and following remission or treatment response. Volumes and cerebral blood flow (CBF) of the hippocampi and amygdalae, and global mean cortical thickness were compared between groups. There was a significant group × time interaction for hippocampal and amygdalar volumes, CBF in the hippocampi and global mean cortical thickness. Hippocampal and amygdalar enlargements and CBF increase in the hippocampi were observed in the ECT-group but neither in TAU-responders nor in HC. Increase in global mean cortical thickness was observed in the ECT-group and in TAU-responders but not in HC. The co-occurrence of increase in global mean cortical thickness in both TAU-responders and in ECT-patients may point to a shared mechanism of antidepressant response. This was not the case for subcortical volume and CBF increase.
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Affiliation(s)
- Tobias Bracht
- Translational Research Center, University Hospital of Psychiatry and Psychotherapy, University of Bern, Bern, Switzerland. .,Translational Imaging Center (TIC), Swiss Institute for Translational and Entrepreneurial Medicine, Bern, Switzerland.
| | - Sebastian Walther
- grid.5734.50000 0001 0726 5157Translational Research Center, University Hospital of Psychiatry and Psychotherapy, University of Bern, Bern, Switzerland ,Translational Imaging Center (TIC), Swiss Institute for Translational and Entrepreneurial Medicine, Bern, Switzerland
| | - Sigrid Breit
- grid.5734.50000 0001 0726 5157Translational Research Center, University Hospital of Psychiatry and Psychotherapy, University of Bern, Bern, Switzerland ,Translational Imaging Center (TIC), Swiss Institute for Translational and Entrepreneurial Medicine, Bern, Switzerland
| | - Nicolas Mertse
- grid.5734.50000 0001 0726 5157Translational Research Center, University Hospital of Psychiatry and Psychotherapy, University of Bern, Bern, Switzerland ,Translational Imaging Center (TIC), Swiss Institute for Translational and Entrepreneurial Medicine, Bern, Switzerland
| | - Andrea Federspiel
- grid.5734.50000 0001 0726 5157Translational Research Center, University Hospital of Psychiatry and Psychotherapy, University of Bern, Bern, Switzerland ,Translational Imaging Center (TIC), Swiss Institute for Translational and Entrepreneurial Medicine, Bern, Switzerland
| | - Agnes Meyer
- grid.5734.50000 0001 0726 5157Translational Research Center, University Hospital of Psychiatry and Psychotherapy, University of Bern, Bern, Switzerland
| | - Leila M. Soravia
- grid.5734.50000 0001 0726 5157Translational Research Center, University Hospital of Psychiatry and Psychotherapy, University of Bern, Bern, Switzerland ,Translational Imaging Center (TIC), Swiss Institute for Translational and Entrepreneurial Medicine, Bern, Switzerland
| | - Roland Wiest
- Translational Imaging Center (TIC), Swiss Institute for Translational and Entrepreneurial Medicine, Bern, Switzerland ,grid.5734.50000 0001 0726 5157Institute of Diagnostic and Interventional Neuroradiology, University of Bern, Bern, Switzerland
| | - Niklaus Denier
- grid.5734.50000 0001 0726 5157Translational Research Center, University Hospital of Psychiatry and Psychotherapy, University of Bern, Bern, Switzerland ,Translational Imaging Center (TIC), Swiss Institute for Translational and Entrepreneurial Medicine, Bern, Switzerland
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10
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Shah P, Doyle E, Wood JC, Borzage MT. Imputation models and error analysis for phase contrast MR cerebral blood flow measurements. Front Physiol 2023; 14:1096297. [PMID: 36891147 PMCID: PMC9988286 DOI: 10.3389/fphys.2023.1096297] [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: 11/11/2022] [Accepted: 01/24/2023] [Indexed: 02/22/2023] Open
Abstract
Cerebral blood flow (CBF) supports brain metabolism. Diseases impair CBF, and pharmacological agents modulate CBF. Many techniques measure CBF, but phase contrast (PC) MR imaging through the four arteries supplying the brain is rapid and robust. However, technician error, patient motion, or tortuous vessels degrade quality of the measurements of the internal carotid (ICA) or vertebral (VA) arteries. We hypothesized that total CBF could be imputed from measurements in subsets of these 4 feeding vessels without excessive penalties in accuracy. We analyzed PC MR imaging from 129 patients, artificially excluded 1 or more vessels to simulate degraded imaging quality, and developed models of imputation for the missing data. Our models performed well when at least one ICA was measured, and resulted in R 2 values of 0.998-0.990, normalized root mean squared error values of 0.044-0.105, and intra-class correlation coefficient of 0.982-0.935. Thus, these models were comparable or superior to the test-retest variability in CBF measured by PC MR imaging. Our imputation models allow retrospective correction for corrupted blood vessel measurements when measuring CBF and guide prospective CBF acquisitions.
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Affiliation(s)
- Payal Shah
- Division of Cardiology, Department of Pediatrics, Children's Hospital Los Angeles, Los Angeles, CA, United States
| | - Eamon Doyle
- Department of Radiology, Children's Hospital Los Angeles, Los Angeles, CA, United States
| | - John C Wood
- Division of Cardiology, Department of Pediatrics, Children's Hospital Los Angeles, Los Angeles, CA, United States
| | - Matthew T Borzage
- Division of Neonatology, Department of Pediatrics, Children's Hospital Los Angeles, Keck School of Medicine, Fetal and Neonatal Institute, University of Southern California, Los Angeles, CA, United States
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11
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Kim WSH, Dimick MK, Omrin D, Mitchell RHB, Riegert D, Levitt A, Schaffer A, Belo S, Iazzetta J, Detzler G, Choi M, Choi S, Herrmann N, McIntyre RS, MacIntosh BJ, Orser BA, Goldstein BI. Proof-of-concept randomized controlled trial of single-session nitrous oxide treatment for refractory bipolar depression: Focus on cerebrovascular target engagement. Bipolar Disord 2022; 25:221-232. [PMID: 36579458 DOI: 10.1111/bdi.13288] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/30/2022]
Abstract
BACKGROUND There remain few efficacious treatments for bipolar depression, which dominates the course of bipolar disorder (BD). Despite multiple studies reporting associations between depression and cerebral blood flow (CBF), little is known regarding CBF as a treatment target, or predictor and/or indicator of treatment response, in BD. Nitrous oxide, an anesthetic gas with vasoactive and putative antidepressant properties, has a long history as a neuroimaging probe. We undertook an experimental medicine paradigm, coupling in-scanner single-session nitrous oxide treatment of bipolar depression with repeated measures of CBF. METHODS In this double-blind randomized controlled trial, 25 adults with BD I/II and current treatment-refractory depression received either: (1) nitrous oxide (20 min at 25% concentration) plus intravenous saline (n = 12), or (2) medical air plus intravenous midazolam (2 mg total; n = 13). Study outcomes included changes in depression severity (Montgomery-Asberg Depression Rating Scale scores, primary) and changes in CBF (via arterial spin labeling magnetic resonance imaging). RESULTS There were no significant between-group differences in 24-h post-treatment MADRS change or treatment response. However, the nitrous oxide group had significantly greater same-day reductions in depression severity. Lower baseline regional CBF predicted greater 24-h post-treatment MADRS reductions with nitrous oxide but not midazolam. In region-of-interest and voxel-wise analyses, there was a pattern of regional CBF reductions following treatment with midazolam versus nitrous oxide. CONCLUSIONS Present findings, while tentative and based on secondary endpoints, suggest differential associations of nitrous oxide versus midazolam with bipolar depression severity and cerebral hemodynamics. Larger studies integrating neuroimaging targets and repeated nitrous oxide treatment sessions are warranted.
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Affiliation(s)
- William S H Kim
- Department of Medical Biophysics, University of Toronto, Toronto, Ontario, Canada.,Hurvitz Brain Sciences Program, Sunnybrook Research Institute, Toronto, Ontario, Canada
| | - Mikaela K Dimick
- Centre for Youth Bipolar Disorder, Centre for Addiction and Mental Health, Toronto, Ontario, Canada.,Sunnybrook Health Sciences Centre, Toronto, Ontario, Canada.,Department of Pharmacology and Toxicology, University of Toronto, Toronto, Ontario, Canada
| | - Danielle Omrin
- Centre for Youth Bipolar Disorder, Centre for Addiction and Mental Health, Toronto, Ontario, Canada.,Sunnybrook Health Sciences Centre, Toronto, Ontario, Canada
| | - Rachel H B Mitchell
- Sunnybrook Health Sciences Centre, Toronto, Ontario, Canada.,Department of Pharmacology and Toxicology, University of Toronto, Toronto, Ontario, Canada.,Department of Psychiatry, University of Toronto, Toronto, Ontario, Canada
| | - Daniel Riegert
- Sunnybrook Health Sciences Centre, Toronto, Ontario, Canada.,Department of Anesthesiology and Pain Medicine, University of Toronto, Toronto, Ontario, Canada
| | - Anthony Levitt
- Hurvitz Brain Sciences Program, Sunnybrook Research Institute, Toronto, Ontario, Canada.,Sunnybrook Health Sciences Centre, Toronto, Ontario, Canada.,Department of Psychiatry, University of Toronto, Toronto, Ontario, Canada
| | - Ayal Schaffer
- Hurvitz Brain Sciences Program, Sunnybrook Research Institute, Toronto, Ontario, Canada.,Sunnybrook Health Sciences Centre, Toronto, Ontario, Canada.,Department of Psychiatry, University of Toronto, Toronto, Ontario, Canada
| | - Susan Belo
- Sunnybrook Health Sciences Centre, Toronto, Ontario, Canada.,Department of Anesthesiology and Pain Medicine, University of Toronto, Toronto, Ontario, Canada
| | - John Iazzetta
- Sunnybrook Health Sciences Centre, Toronto, Ontario, Canada
| | | | - Mabel Choi
- Sunnybrook Health Sciences Centre, Toronto, Ontario, Canada.,Department of Anesthesiology and Pain Medicine, University of Toronto, Toronto, Ontario, Canada
| | - Stephen Choi
- Sunnybrook Health Sciences Centre, Toronto, Ontario, Canada.,Department of Anesthesiology and Pain Medicine, University of Toronto, Toronto, Ontario, Canada
| | - Nathan Herrmann
- Hurvitz Brain Sciences Program, Sunnybrook Research Institute, Toronto, Ontario, Canada.,Sunnybrook Health Sciences Centre, Toronto, Ontario, Canada.,Department of Psychiatry, University of Toronto, Toronto, Ontario, Canada
| | - Roger S McIntyre
- Department of Pharmacology and Toxicology, University of Toronto, Toronto, Ontario, Canada.,Department of Psychiatry, University of Toronto, Toronto, Ontario, Canada.,Mood Disorders Psychopharmacology Unit, University Health Network, Toronto, Ontario, Canada
| | - Bradley J MacIntosh
- Department of Medical Biophysics, University of Toronto, Toronto, Ontario, Canada.,Hurvitz Brain Sciences Program, Sunnybrook Research Institute, Toronto, Ontario, Canada
| | - Beverley A Orser
- Hurvitz Brain Sciences Program, Sunnybrook Research Institute, Toronto, Ontario, Canada.,Sunnybrook Health Sciences Centre, Toronto, Ontario, Canada.,Department of Anesthesiology and Pain Medicine, University of Toronto, Toronto, Ontario, Canada
| | - Benjamin I Goldstein
- Centre for Youth Bipolar Disorder, Centre for Addiction and Mental Health, Toronto, Ontario, Canada.,Sunnybrook Health Sciences Centre, Toronto, Ontario, Canada.,Department of Pharmacology and Toxicology, University of Toronto, Toronto, Ontario, Canada.,Department of Psychiatry, University of Toronto, Toronto, Ontario, Canada
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12
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Brown JC, Higgins ES, George MS. Synaptic Plasticity 101: The Story of the AMPA Receptor for the Brain Stimulation Practitioner. Neuromodulation 2022; 25:1289-1298. [PMID: 35088731 PMCID: PMC10479373 DOI: 10.1016/j.neurom.2021.09.003] [Citation(s) in RCA: 16] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/19/2021] [Revised: 08/10/2021] [Accepted: 09/08/2021] [Indexed: 02/04/2023]
Abstract
The fields of Neurobiology and Neuromodulation have never been closer. Consequently, the phrase "synaptic plasticity" has become very familiar to non-basic scientists, without actually being very familiar. We present the "Story of the AMPA receptor," an easy-to-understand "10,000 ft" narrative overview of synaptic plasticity, oriented toward the brain stimulation clinician or scientist without basic science training. Neuromodulation is unparalleled in its capacity to both modulate and probe plasticity, yet many are not comfortable with their grasp of the topic. Here, we describe the seminal discoveries that defined the canonical mechanisms of long-term potentiation (LTP), long-term depression (LTD), and homeostatic plasticity. We then provide a conceptual framework for how plasticity at the synapse is accomplished, describing the functional roles of N-methyl-d-aspartate (NMDA) receptors and calcium, their effect on calmodulin, phosphatases (ie, calcineurin), kinases (ie, calcium/calmodulin-dependent protein kinase [CaMKII]), and structural "scaffolding" proteins (ie, post-synaptic density protein [PSD-95]). Ultimately, we describe how these affect the α-amino-3-hydroxy-5-methyl-4-isoxazole propionic acid (AMPA) receptor. More specifically, AMPA receptor delivery to (LTP induction), removal from (LTD), or recycling within (LTP maintenance) the synapse is determined by the status of phosphorylation and protein binding at specific sites on the tails of AMPA receptor subunits: GluA1 and GluA2. Finally, we relate these to transcranial magnetic stimulation (TMS) treatment, highlighting evidences for LTP as the basis of high-frequency TMS therapy, and briefly touch on the role of plasticity for other brain stimulation modalities. In summary, we present Synaptic Plasticity 101 as a singular introductory reference for those less familiar with the mechanisms of synaptic plasticity.
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Affiliation(s)
- Joshua C Brown
- Department of Psychiatry and Behavioral Sciences, Medical University of South Carolina, Charleston, SC, USA; Department of Neurology, Medical University of South Carolina, Charleston, SC, USA; Department of Psychiatry and Human Behavior, Alpert Medical School of Brown University, Providence, RI, USA.
| | - Edmund S Higgins
- Department of Psychiatry and Behavioral Sciences, Medical University of South Carolina, Charleston, SC, USA
| | - Mark S George
- Department of Psychiatry and Behavioral Sciences, Medical University of South Carolina, Charleston, SC, USA; Ralph Johnson VA Medical Center, Charleston, SC, USA
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13
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Gbyl K, Lindberg U, Wiberg Larsson HB, Rostrup E, Videbech P. Cerebral perfusion is related to antidepressant effect and cognitive side effects of Electroconvulsive Therapy. Brain Stimul 2022; 15:1486-1494. [PMID: 36332891 DOI: 10.1016/j.brs.2022.10.007] [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: 08/24/2022] [Revised: 10/11/2022] [Accepted: 10/20/2022] [Indexed: 11/13/2022] Open
Abstract
BACKGROUND The mechanisms underlying the antidepressant effect and cognitive side effects of Electroconvulsive Therapy (ECT) remain elusive. The measurement of cerebral perfusion provides an insight into brain physiology. OBJECTIVE We investigated ECT-related perfusion changes in depressed patients and tested whether these changes correlate with clinical effects. METHODS A sample of 22 in-patients was examined at three time points: 1) within two days before, 2) within one week after, and 3) six months after an ECT series. Cerebral perfusion was quantified using arterial spin labeling magnetic resonance imaging. The primary regions of interest were the bilateral dorsolateral prefrontal cortices (DL-PFC) and hippocampi. The depression severity was assessed by the six-item Hamilton Depression Rating Scale, and cognitive performance by the Screen for Cognitive Impairment in Psychiatry. A linear mixed model and partial correlation were used for statistical analyses. RESULTS Following an ECT series, perfusion decreased in the right (-6.0%, p = .01) and left DL-PFC (-5.6%, p = .001). Perfusion increased in the left hippocampus (4.8%, p = .03), while on the right side the increase was insignificant (2.3%, p = .23). A larger perfusion reduction in the right DL-PFC correlated with a better antidepressant effect, and a larger perfusion increase in the right hippocampus with worse cognitive impairment. CONCLUSION ECT-induced attenuation of prefrontal activity may be related to clinical improvement, whereas a hippocampal process triggered by the treatment is likely associated with cognitive side effects.
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Affiliation(s)
- Krzysztof Gbyl
- Center for Neuropsychiatric Depression Research (CNDR), Mental Health Center Glostrup, Glostrup, Denmark; Institute of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark.
| | - Ulrich Lindberg
- Department of Clinical Physiology and Nuclear Medicine, Rigshospitalet, University of Copenhagen, Copenhagen, Denmark
| | - Henrik Bo Wiberg Larsson
- Department of Clinical Physiology and Nuclear Medicine, Rigshospitalet, University of Copenhagen, Copenhagen, Denmark; Institute of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Egill Rostrup
- Center for Neuropsychiatric Schizophrenia Research, Mental Health Center Glostrup, Denmark
| | - Poul Videbech
- Center for Neuropsychiatric Depression Research (CNDR), Mental Health Center Glostrup, Glostrup, Denmark; Institute of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
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14
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Electroconvulsive therapy changes temporal dynamics of intrinsic brain activity in depressed patients. Psychiatry Res 2022; 316:114732. [PMID: 35926361 DOI: 10.1016/j.psychres.2022.114732] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/19/2021] [Revised: 07/14/2022] [Accepted: 07/16/2022] [Indexed: 11/24/2022]
Abstract
Electroconvulsive therapy (ECT) has been demonstrated to be effective in treating depressed patients. Previous neuroimaging studies have focused mainly on alterations in static brain activity and connectivity to study the effects of ECT in depressed patients. However, it remains unclear whether the temporal dynamics of brain activity are associated with mechanisms of ECT in depressed patients. We measured the dynamics of spontaneous brain activity using dynamic amplitude of low-frequency fluctuation (dALFF) in healthy controls (n = 40) and patients diagnosed with unipolar depression (UD, n = 36) or bipolar disorder (BD, n = 9) before and after ECT. Furthermore, the temporal variability of intrinsic brain activity (iBA) was quantified as the variance of dALFF across sliding window. In addition, correlation analysis was performed to investigate the relationships among dALFF, depressive symptoms, and cognitive function in depressed patients. We lack second resting-state functional magnetic resonance imaging (rs-fMRI) data for healthy controls. After ECT, patients showed decreased brain dynamics (less temporal variability) in the right dorsal anterior cingulate cortex (dACC) and the right precuneus, whereas they showed increased brain dynamics in the bilateral superior medial frontal cortex (mSFC). No significant correlation was found between the dALFF and clinical variables in depressed patients. Our findings suggest that right dACC, right precuneus, and bilateral mSFC play an important role in response to ECT depressed patients from the perspective of dynamic local brain activity, indicating that the dALFF variability may be useful in further understanding the mechanisms of ECT's antidepressant effects.
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15
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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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16
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Li C, Hu Q, Zhang D, Hoffstaedter F, Bauer A, Elmenhorst D. Neural correlates of affective control regions induced by common therapeutic strategies in major depressive disorders: An activation likelihood estimation meta-analysis study. Neurosci Biobehav Rev 2022; 137:104643. [PMID: 35367222 DOI: 10.1016/j.neubiorev.2022.104643] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/28/2022] [Revised: 03/26/2022] [Accepted: 03/27/2022] [Indexed: 01/30/2023]
Abstract
In major depressive disorder (MDD), not only the pathophysiology of this disease is unknown but also the mechanisms of clinical efficacy across its therapeutic strategies are unclear. Although neuroimaging studies adopted activation likelihood estimation (ALE) approach to identify the convergent abnormalities of human brain in the MDD patients, the common alterations after antidepressant therapies were not summarized. Thus, we extracted the coordinates of brain regions in the MDD patients that showed differences in resting-state function, gray matter morphometry, and task-evoked neuronal responses after therapies. The ALE algorithm (GingerALE2.0.3) was employed in all 53 studies (64 experiments with 1406 MDD patients). Consistent results across treatment therapies were reported in the affective control network, including the bilateral thalamus, bilateral amygdala/parahippocampal gyrus, right anterior cingulate cortex/middle frontal gyrus, and right insular cortex/claustrum. Only electroconvulsive therapy partially replicated above findings. Our results indicate the antidepressant therapies efficiently influence core structures of the affective control network, which might be the underlying mechanism of remission in depression and provides potential targets for further treatment strategies.
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Affiliation(s)
- Changhong Li
- College of Teacher Education, Guangdong University of Education, Guangzhou 510303, China; Institute of Neuroscience and Medicine (INM-2), Forschungszentrum Jülich, 52425 Jülich, Germany
| | - Quanling Hu
- School of Psychology, Center for Studies of Psychological Application, and Guangdong Key Laboratory of Mental Health and Cognitive Science, South China Normal University, China; Key Laboratory of Brain, Cognition and Education Sciences, Ministry of Education, China
| | - Delong Zhang
- School of Psychology, Center for Studies of Psychological Application, and Guangdong Key Laboratory of Mental Health and Cognitive Science, South China Normal University, China; Key Laboratory of Brain, Cognition and Education Sciences, Ministry of Education, China,.
| | - Felix Hoffstaedter
- Institute of Neuroscience and Medicine-7, Juelich Research Center, Juelich, Germany; Institute of Systems Neuroscience, Heinrich Heine University, Duesseldorf, Germany
| | - Andreas Bauer
- Institute of Neuroscience and Medicine (INM-2), Forschungszentrum Jülich, 52425 Jülich, Germany; Department of Neurology, Medical Faculty, Heinrich-Heine-University Düsseldorf, 40225 Düsseldorf, Germany
| | - David Elmenhorst
- Institute of Neuroscience and Medicine (INM-2), Forschungszentrum Jülich, 52425 Jülich, Germany; Rheinische Friedrich-Wilhelms-Universität Bonn, Division of Medical Psychology, Venusberg-Campus 1, 53127 Bonn, North Rhine-Westphalia, Germany; University Hospital Cologne, Multimodal Neuroimaging Group, Department of Nuclear Medicine, Kerpener Strasse 62, 50937 Cologne, North Rhine-Westphalia, Germany.
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17
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Li XK, Qiu HT, Hu J, Luo QH. Changes in the amplitude of low-frequency fluctuations in specific frequency bands in major depressive disorder after electroconvulsive therapy. World J Psychiatry 2022; 12:708-721. [PMID: 35663299 PMCID: PMC9150034 DOI: 10.5498/wjp.v12.i5.708] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/22/2021] [Revised: 03/26/2022] [Accepted: 04/21/2022] [Indexed: 02/06/2023] Open
Abstract
BACKGROUND Major depressive disorder (MDD) tends to have a high incidence and high suicide risk. Electroconvulsive therapy (ECT) is currently a relatively effective treatment for MDD. However, the mechanism of efficacy of ECT is still unclear.
AIM To investigate the changes in the amplitude of low-frequency fluctuations in specific frequency bands in patients with MDD after ECT.
METHODS Twenty-two MDD patients and fifteen healthy controls (HCs) were recruited to this study. MDD patients received 8 ECT sessions with bitemporal placement. Resting-state functional magnetic resonance imaging was adopted to examine regional cerebellar blood flow in both the MDD patients and HCs. The MDD patients were scanned twice (before the first ECT session and after the eighth ECT session) to acquire data. Then, the amplitude of low-frequency fluctuations (ALFF) was computed to characterize the intrinsic neural oscillations in different bands (typical frequency, slow-5, and slow-4 bands).
RESULTS Compared to before ECT (pre-ECT), we found that MDD patients after the eighth ECT (post-ECT) session had a higher ALFF in the typical band in the right middle frontal gyrus, posterior cingulate, right supramarginal gyrus, left superior frontal gyrus, and left angular gyrus. There was a lower ALFF in the right superior temporal gyrus. Compared to pre-ECT values, the ALFF in the slow-5 band was significantly increased in the right limbic lobe, cerebellum posterior lobe, right middle orbitofrontal gyrus, and frontal lobe in post-ECT patients, whereas the ALFF in the slow-5 band in the left sublobar region, right angular gyrus, and right frontal lobe was lower. In contrast, significantly higher ALFF in the slow-4 band was observed in the frontal lobe, superior frontal gyrus, parietal lobe, right inferior parietal lobule, and left angular gyrus.
CONCLUSION Our results suggest that the abnormal ALFF in pre- and post-ECT MDD patients may be associated with specific frequency bands.
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Affiliation(s)
- Xin-Ke Li
- College of Medical Informatics, Chongqing Medical University, Chongqing 400016, China
| | - Hai-Tang Qiu
- Mental Health Center, the First Affiliated Hospital of Chongqing Medical University, Chongqing Medical University, Chongqing 400016, China
| | - Jia Hu
- Institute for Advanced Studies in Humanities and Social Science, Chongqing University, Chongqing 400044, China
| | - Qing-Hua Luo
- Mental Health Center, the First Affiliated Hospital of Chongqing Medical University, Chongqing Medical University, Chongqing 400016, China
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18
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Shi Y, Li J, Tong P, Yang J, Zhang H, Dong L. Regional cerebral blood flow in major depression treated with electroconvulsive therapy: an arterial spin labeling magnetic resonance study. Neurocase 2022; 28:246-250. [PMID: 35225161 DOI: 10.1080/13554794.2022.2044861] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/19/2022]
Abstract
Until recently, regional cerebral blood flow (rCBF) in major depressive disorder (MDD) patients treated with electroconvulsive therapy (ECT) using arterial spin labeling (ASL) magnetic resonance imaging (MRI) have seldom been studied. We report here 10 patients with MDD treated by bilateral frontotemporal ECT. rCBF was assessed with ASL MRI pre- and post-ECT, and compared with patients treated by antidepressants. Compared to pre-ECT, rCBF significantly decreased in the bilateral frontal gyrus. Compared to medication, in patients treated with ECT, rCBF showed a significant decrease in the left amygdala, parahippocampal and olfactory gyrus, and right occipital, lingual, calcarine gyrus, and significantly increased in the bilateral frontal gyrus and right frontal gyrus. Compared with antidepressants, ECT altered rCBF, and showed potential to be a superior treatment for major depressive disorder.
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Affiliation(s)
- Yuanhong Shi
- Department of Clinical Psychology, Yangzhou University Affiliated Northern Jiangsu People's Hospital, Yangzhou, Jiangsu, China
| | - Jie Li
- Department of Medical Image Center, Yangzhou University Affiliated Northern Jiangsu People's Hospital, Yangzhou, Jiangsu, China
| | - Ping Tong
- Department of Clinical Psychology, Yangzhou University Affiliated Northern Jiangsu People's Hospital, Yangzhou, Jiangsu, China
| | - Jing Yang
- Department of Graduate School, Dalian Medical University, Dalian, Liaoning, China
| | - Hongying Zhang
- Department of Medical Image Center, Yangzhou University Affiliated Northern Jiangsu People's Hospital, Yangzhou, Jiangsu, China
| | - Liping Dong
- Department of Clinical Psychology, Yangzhou University Affiliated Northern Jiangsu People's Hospital, Yangzhou, Jiangsu, China
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19
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Ousdal OT, Brancati GE, Kessler U, Erchinger V, Dale AM, Abbott C, Oltedal L. The Neurobiological Effects of Electroconvulsive Therapy Studied Through Magnetic Resonance: What Have We Learned, and Where Do We Go? Biol Psychiatry 2022; 91:540-549. [PMID: 34274106 PMCID: PMC8630079 DOI: 10.1016/j.biopsych.2021.05.023] [Citation(s) in RCA: 28] [Impact Index Per Article: 14.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/20/2020] [Revised: 05/12/2021] [Accepted: 05/12/2021] [Indexed: 12/14/2022]
Abstract
Electroconvulsive therapy (ECT) is an established treatment choice for severe, treatment-resistant depression, yet its mechanisms of action remain elusive. Magnetic resonance imaging (MRI) of the human brain before and after treatment has been crucial to aid our comprehension of the ECT neurobiological effects. However, to date, a majority of MRI studies have been underpowered and have used heterogeneous patient samples as well as different methodological approaches, altogether causing mixed results and poor clinical translation. Hence, an association between MRI markers and therapeutic response remains to be established. Recently, the availability of large datasets through a global collaboration has provided the statistical power needed to characterize whole-brain structural and functional brain changes after ECT. In addition, MRI technological developments allow new aspects of brain function and structure to be investigated. Finally, more recent studies have also investigated immediate and long-term effects of ECT, which may aid in the separation of the therapeutically relevant effects from epiphenomena. The goal of this review is to outline MRI studies (T1, diffusion-weighted imaging, proton magnetic resonance spectroscopy) of ECT in depression to advance our understanding of the ECT neurobiological effects. Based on the reviewed literature, we suggest a model whereby the neurobiological effects can be understood within a framework of disruption, neuroplasticity, and rewiring of neural circuits. An improved characterization of the neurobiological effects of ECT may increase our understanding of ECT's therapeutic effects, ultimately leading to improved patient care.
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Affiliation(s)
- Olga Therese Ousdal
- Mohn Medical Imaging and Visualization Centre, Department of Radiology, Haukeland University Hospital, Bergen, Norway; Centre for Crisis Psychology, Faculty of Psychology, University of Bergen, Bergen, Norway.
| | - Giulio E Brancati
- Department of Clinical and Experimental Medicine, University of Pisa, Pisa, Italy
| | - Ute Kessler
- NORMENT, Division of Psychiatry, Haukeland University Hospital, Bergen, Norway; Department of Clinical Medicine, University of Bergen, Bergen, Norway
| | - Vera Erchinger
- Mohn Medical Imaging and Visualization Centre, Department of Radiology, Haukeland University Hospital, Bergen, Norway; Department of Clinical Medicine, University of Bergen, Bergen, Norway
| | - Anders M Dale
- Center for Multimodal Imaging and Genetics, University of California San Diego, La Jolla, California; Department of Radiology, University of California San Diego, La Jolla, California; Department of Neurosciences, University of California San Diego, La Jolla, California
| | - Christopher Abbott
- Department of Psychiatry, University of New Mexico, Albuquerque, New Mexico
| | - Leif Oltedal
- Mohn Medical Imaging and Visualization Centre, Department of Radiology, Haukeland University Hospital, Bergen, Norway; Department of Clinical Medicine, University of Bergen, Bergen, Norway.
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Wu GR, Baeken C. Individual interregional perfusion between the left dorsolateral prefrontal cortex stimulation targets and the subgenual anterior cortex predicts response and remission to aiTBS treatment in medication-resistant depression: The influence of behavioral inhibition. Brain Stimul 2021; 15:182-189. [PMID: 34902623 DOI: 10.1016/j.brs.2021.12.003] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/14/2021] [Revised: 11/04/2021] [Accepted: 12/08/2021] [Indexed: 12/13/2022] Open
Abstract
BACKGROUND Accelerated intermittent Theta Burst Stimulation (aiTBS) has been put forward as an effective treatment to alleviate depressive symptoms. Baseline functional connectivity (FC) patterns between the left dorsolateral prefrontal cortex (DLPFC) and the subgenual anterior cortex (sgACC) have gained a lot of attention as a potential biomarker for response. However, arterial spin labeling (ASL) - measuring regional cerebral blood flow - may allow a more straightforward physiological interpretation of such interregional functional connections. OBJECTIVES We investigated whether baseline covariance perfusion connectivity between the individually stimulated left DLPFC targets and sgACC could predict meaningful clinical outcome. Considering that individual characteristics may influence efficacy prediction, all patients were also assessed with the Behavioral Inhibition System/Behavioral Activation System (BIS/BAS) scale. METHODS After baseline ASL scanning, forty-one medication-resistant depressed patients received twenty sessions of neuronavigated left DLPFC aiTBS in an accelerated sham-controlled crossover fashion, where all stimulation sessions were spread over four days (Trial registration: http://clinicaltrials.gov/show/NCT01832805). RESULTS Stronger individual baseline interregional covariance perfusion connectivity patterns predicted response and/or remission. Furthermore, responders and remitters with higher BIS scores displayed stronger baseline interregional perfusion connections. CONCLUSIONS Targeting the left DLPFC with aiTBS based on personal structural imaging data only may not be the most optimal method to enhance meaningful antidepressant responses. Individual baseline interregional perfusion connectivity could be an important added brain imaging method for individual optimization of more valid stimulation targets within the left DLPFC. Additional therapies dealing with behavioral inhibition may be warranted.
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Affiliation(s)
- Guo-Rong Wu
- Key Laboratory of Cognition and Personality, Faculty of Psychology, Southwest University, Chongqing, China; Faculty of Medicine and Health Sciences, Department of Head and Skin, Ghent Experimental Psychiatry (GHEP) Lab, Ghent University, Ghent, Belgium.
| | - Chris Baeken
- Faculty of Medicine and Health Sciences, Department of Head and Skin, Ghent Experimental Psychiatry (GHEP) Lab, Ghent University, Ghent, Belgium; Department of Psychiatry, University Hospital (UZBrussel), Brussels, Belgium; Eindhoven University of Technology, Department of Electrical Engineering, Eindhoven, the Netherlands.
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21
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Takamiya A, Kishimoto T, Hirano J, Nishikata S, Sawada K, Kurokawa S, Yamagata B, Kikuchi T, Mimura M. Neuronal network mechanisms associated with depressive symptom improvement following electroconvulsive therapy. Psychol Med 2021; 51:2856-2863. [PMID: 32476629 PMCID: PMC8640363 DOI: 10.1017/s0033291720001518] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/11/2019] [Revised: 03/24/2020] [Accepted: 05/06/2020] [Indexed: 01/09/2023]
Abstract
BACKGROUND Electroconvulsive therapy (ECT) is the most effective antidepressant treatment for severe depression. Although recent structural magnetic resonance imaging (MRI) studies have consistently reported ECT-induced hippocampal volume increases, most studies did not find the association of the hippocampal volume changes with clinical improvement. To understand the underlying mechanisms of ECT action, we aimed to identify the longitudinal effects of ECT on hippocampal functional connectivity (FC) and their associations with clinical improvement. METHODS Resting-state functional MRI was acquired before and after bilateral ECT in 27 depressed individuals. A priori hippocampal seed-based FC analysis and a data-driven multivoxel pattern analysis (MVPA) were conducted to investigate FC changes associated with clinical improvement. The statistical threshold was set at cluster-level false discovery rate-corrected p < 0.05. RESULTS Depressive symptom improvement after ECT was positively associated with the change in the right hippocampus-ventromedial prefrontal cortex FC, and negatively associated with the right hippocampus-superior frontal gyrus FC. MVPA confirmed the results of hippocampal seed-based analyses and identified the following additional clusters associated with clinical improvement following ECT: the thalamus, the sensorimotor cortex, and the precuneus. CONCLUSIONS ECT-induced change in the right frontotemporal connectivity and thalamocortical connectivity, and changes in the nodes of the default mode network were associated with clinical improvement. Modulation of these networks may explain the underlying mechanisms by which ECT exert its potent and rapid antidepressant effect.
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Affiliation(s)
- Akihiro Takamiya
- Department of Neuropsychiatry, Keio University School of Medicine, Tokyo160-8582, Japan
- Center for Psychiatry and Behavioral Science, Tokyo193-8505, Japan
| | - Taishiro Kishimoto
- Department of Neuropsychiatry, Keio University School of Medicine, Tokyo160-8582, Japan
| | - Jinichi Hirano
- Department of Neuropsychiatry, Keio University School of Medicine, Tokyo160-8582, Japan
| | - Shiro Nishikata
- Center for Psychiatry and Behavioral Science, Tokyo193-8505, Japan
| | - Kyosuke Sawada
- Department of Neuropsychiatry, Keio University School of Medicine, Tokyo160-8582, Japan
| | - Shunya Kurokawa
- Department of Neuropsychiatry, Keio University School of Medicine, Tokyo160-8582, Japan
| | - Bun Yamagata
- Department of Neuropsychiatry, Keio University School of Medicine, Tokyo160-8582, Japan
| | - Toshiaki Kikuchi
- Department of Neuropsychiatry, Keio University School of Medicine, Tokyo160-8582, Japan
| | - Masaru Mimura
- Department of Neuropsychiatry, Keio University School of Medicine, Tokyo160-8582, Japan
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22
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Argyelan M, Lencz T, Kang S, Ali S, Masi PJ, Moyett E, Joanlanne A, Watson P, Sanghani S, Petrides G, Malhotra AK. ECT-induced cognitive side effects are associated with hippocampal enlargement. Transl Psychiatry 2021; 11:516. [PMID: 34625534 PMCID: PMC8501017 DOI: 10.1038/s41398-021-01641-y] [Citation(s) in RCA: 17] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/23/2021] [Revised: 08/16/2021] [Accepted: 09/09/2021] [Indexed: 02/08/2023] Open
Abstract
Electroconvulsive therapy (ECT) is of the most effective treatments available for treatment-resistant depression, yet it is underutilized in part due to its reputation of causing cognitive side effects in a significant number of patients. Despite intensive neuroimaging research on ECT in the past two decades, the underlying neurobiological correlates of cognitive side effects remain elusive. Because the primary ECT-related cognitive deficit is memory impairment, it has been suggested that the hippocampus may play a crucial role. In the current study, we investigated 29 subjects with longitudinal MRI and detailed neuropsychological testing in two independent cohorts (N = 15/14) to test if volume changes were associated with cognitive side effects. The two cohorts underwent somewhat different ECT study protocols reflected in electrode placements and the number of treatments. We used longitudinal freesurfer algorithms (6.0) to obtain a bias-free estimate of volume changes in the hippocampus and tested its relationship with neurocognitive score changes. As an exploratory analysis and to evaluate how specific the effects were to the hippocampus, we also calculated this relationship in 41 other areas. In addition, we also analyzed cognitive data from a group of healthy volunteers (N = 29) to assess practice effects. Our results supported the hypothesis that hippocampus enlargement was associated with worse cognitive outcomes, and this result was generalizable across two independent cohorts with different diagnoses, different electrode placements, and a different number of ECT sessions. We found, in both cohorts, that treatment robustly increased the volume size of the hippocampus (Cohort 1: t = 5.07, Cohort 2: t = 4.82; p < 0.001), and the volume increase correlated with the neurocognitive T-score change. (Cohort 1: r = -0.68, p = 0.005; Cohort 2: r = -0.58; p = 0.04). Overall, our research indicates that novel treatment methods serving to avoid hippocampal volume increase may result in a better side effect profile.
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Affiliation(s)
- Miklos Argyelan
- Psychiatry Research, The Zucker Hillside Hospital, Glen Cove, NY, USA.
- Institute of Behavioral Science, Feinstein Institutes for Medical Research, Manhasset, NY, USA.
- Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, Hempstead, NY, USA.
| | - Todd Lencz
- Psychiatry Research, The Zucker Hillside Hospital, Glen Cove, NY, USA
- Institute of Behavioral Science, Feinstein Institutes for Medical Research, Manhasset, NY, USA
- Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, Hempstead, NY, USA
| | - Simran Kang
- Psychiatry Research, The Zucker Hillside Hospital, Glen Cove, NY, USA
| | - Sana Ali
- Psychiatry Research, The Zucker Hillside Hospital, Glen Cove, NY, USA
| | - Paul J Masi
- Psychiatry Research, The Zucker Hillside Hospital, Glen Cove, NY, USA
| | - Emily Moyett
- Psychiatry Research, The Zucker Hillside Hospital, Glen Cove, NY, USA
| | - Andrea Joanlanne
- Psychiatry Research, The Zucker Hillside Hospital, Glen Cove, NY, USA
| | - Philip Watson
- Psychiatry Research, The Zucker Hillside Hospital, Glen Cove, NY, USA
| | - Sohag Sanghani
- Psychiatry Research, The Zucker Hillside Hospital, Glen Cove, NY, USA
- Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, Hempstead, NY, USA
| | - Georgios Petrides
- Psychiatry Research, The Zucker Hillside Hospital, Glen Cove, NY, USA
- Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, Hempstead, NY, USA
| | - Anil K Malhotra
- Psychiatry Research, The Zucker Hillside Hospital, Glen Cove, NY, USA
- Institute of Behavioral Science, Feinstein Institutes for Medical Research, Manhasset, NY, USA
- Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, Hempstead, NY, USA
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23
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Kruse JL, Olmstead R, Hellemann G, Breen EC, Tye SJ, Brooks JO, Wade B, Congdon E, Espinoza R, Narr KL, Irwin MR. Interleukin-8 and lower severity of depression in females, but not males, with treatment-resistant depression. J Psychiatr Res 2021; 140:350-356. [PMID: 34139457 PMCID: PMC8319139 DOI: 10.1016/j.jpsychires.2021.06.009] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/19/2021] [Revised: 05/17/2021] [Accepted: 06/04/2021] [Indexed: 12/30/2022]
Abstract
INTRODUCTION In cross-sectional studies of depressed patients, relationships between depression and levels of IL-8 are inconsistent, and have not been examined in relation to sex. Given identified sex differences in longitudinal data, it is important to evaluate sex-specific cross-sectional relationships between IL-8 and depressive symptoms, which may explain some inconsistency in the extant literature. It is further unknown whether IL-8 levels may relate to specific symptom profiles among depressed patients, with or without regard to sex. METHODS Among 108 patients with treatment resistant depression (50 females), we evaluated cross-sectional relationships between IL-8 and depression severity, as measured by the Hamilton Depression Rating Scale [HAM-D] Score, and examined sex-specific relationships, as well as relationships with depressive symptom profiles. Other inflammatory markers (IL-6, IL-10, TNF-α, CRP) were also explored in relation to HAM-D. RESULTS Higher IL-8 was associated with lower total HAM-D score (standardized β = -0.19, p = 0.049). Sex-specific effects were identified (IL-8 x sex interaction: p = 0.03), in which higher IL-8 related to lower HAM-D score in females (standardized β = -0.41, p = 0.004, effect size (sr2) = 0.17), but not males (standardized β = 0.02, p = 0.91). Among a subset of 94 patients (41 females) who had individual HAM-D items available, we evaluated relationships between IL-8 and HAM-D factor subscores. Across sexes, higher IL-8 was associated with lower anxiety/hypochondriasis subscores (standardized β = -0.31, p = 0.002; sex interaction: p = 0.99). Sex differences were identified for relationships between IL-8 and two other HAM-D factor subscores. CONCLUSIONS IL-8 may be related to anxiety symptoms across sexes, but may have a sex-specific relationship with other depressive symptoms. Further evaluation of sex-specific relationships between IL-8, depression symptom profiles, treatment response, and potential neurobiological correlates, may inform mechanisms of depression pathophysiology and aid in development of precision medicine strategies.
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Affiliation(s)
- Jennifer L Kruse
- Cousins Center for Psychoneuroimmunology, United States; Jane and Terry Semel Institute for Neuroscience and Human Behavior at UCLA, Department of Psychiatry and Biobehavioral Sciences, David Geffen School of Medicine, United States.
| | - Richard Olmstead
- Cousins Center for Psychoneuroimmunology, United States; Jane and Terry Semel Institute for Neuroscience and Human Behavior at UCLA, Department of Psychiatry and Biobehavioral Sciences, David Geffen School of Medicine, United States
| | - Gerhard Hellemann
- Jane and Terry Semel Institute for Neuroscience and Human Behavior at UCLA, Department of Psychiatry and Biobehavioral Sciences, David Geffen School of Medicine, United States
| | - Elizabeth C Breen
- Cousins Center for Psychoneuroimmunology, United States; Jane and Terry Semel Institute for Neuroscience and Human Behavior at UCLA, Department of Psychiatry and Biobehavioral Sciences, David Geffen School of Medicine, United States
| | - Susannah J Tye
- Queensland Brain Institute, The University of Queensland, Australia; Department of Psychiatry & Psychology, Mayo Clinic, United States; Department of Psychiatry, University of Minnesota, United States
| | - John O Brooks
- Jane and Terry Semel Institute for Neuroscience and Human Behavior at UCLA, Department of Psychiatry and Biobehavioral Sciences, David Geffen School of Medicine, United States
| | - Benjamin Wade
- Department of Neurology, University of California at Los Angeles, Los Angeles, CA, United States
| | - Eliza Congdon
- Jane and Terry Semel Institute for Neuroscience and Human Behavior at UCLA, Department of Psychiatry and Biobehavioral Sciences, David Geffen School of Medicine, United States
| | - Randall Espinoza
- Jane and Terry Semel Institute for Neuroscience and Human Behavior at UCLA, Department of Psychiatry and Biobehavioral Sciences, David Geffen School of Medicine, United States
| | - Katherine L Narr
- Jane and Terry Semel Institute for Neuroscience and Human Behavior at UCLA, Department of Psychiatry and Biobehavioral Sciences, David Geffen School of Medicine, United States; Department of Neurology, University of California at Los Angeles, Los Angeles, CA, United States
| | - Michael R Irwin
- Cousins Center for Psychoneuroimmunology, United States; Jane and Terry Semel Institute for Neuroscience and Human Behavior at UCLA, Department of Psychiatry and Biobehavioral Sciences, David Geffen School of Medicine, United States
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24
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Leaver AM, Vasavada M, Kubicki A, Wade B, Loureiro J, Hellemann G, Joshi SH, Woods RP, Espinoza R, Narr KL. Hippocampal subregions and networks linked with antidepressant response to electroconvulsive therapy. Mol Psychiatry 2021; 26:4288-4299. [PMID: 32029885 PMCID: PMC7415508 DOI: 10.1038/s41380-020-0666-z] [Citation(s) in RCA: 16] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/19/2019] [Revised: 12/11/2019] [Accepted: 01/28/2020] [Indexed: 01/29/2023]
Abstract
Electroconvulsive therapy (ECT) has been repeatedly linked to hippocampal plasticity. However, it remains unclear what role hippocampal plasticity plays in the antidepressant response to ECT. This magnetic resonance imaging (MRI) study tracks changes in separate hippocampal subregions and hippocampal networks in patients with depression (n = 44, 23 female) to determine their relationship, if any, with improvement after ECT. Voxelwise analyses were restricted to the hippocampus, amygdala, and parahippocampal cortex, and applied separately for responders and nonresponders to ECT. In analyses of arterial spin-labeled (ASL) MRI, nonresponders exhibited increased cerebral blood flow (CBF) in bilateral anterior hippocampus, while responders showed CBF increases in right middle and left posterior hippocampus. In analyses of gray matter volume (GMV) using T1-weighted MRI, GMV increased throughout bilateral hippocampus and surrounding tissue in nonresponders, while responders showed increased GMV in right anterior hippocampus only. Using CBF loci as seed regions, BOLD-fMRI data from healthy controls (n = 36, 19 female) identified spatially separable neurofunctional networks comprised of different brain regions. In graph theory analyses of these networks, functional connectivity within a hippocampus-thalamus-striatum network decreased only in responders after two treatments and after index. In sum, our results suggest that the location of ECT-related plasticity within the hippocampus may differ according to antidepressant outcome, and that larger amounts of hippocampal plasticity may not be conducive to positive antidepressant response. More focused targeting of hippocampal subregions and/or circuits may be a way to improve ECT outcome.
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Affiliation(s)
- Amber M. Leaver
- Ahmanson-Lovelace Brain Mapping Center, Department of
Neurology, University of California Los Angeles, Los Angeles, CA, 90095,Center for Translational Imaging, Department of Radiology,
Northwestern University, Chicago, IL, 60611,Corresponding Author: Amber M. Leaver Ph.D.,
Address: 737 N Michigan Ave, Suite 1600, Chicago, IL 60611, Phone 312 694 2966,
Fax 310 926 5991,
| | - Megha Vasavada
- Ahmanson-Lovelace Brain Mapping Center, Department of
Neurology, University of California Los Angeles, Los Angeles, CA, 90095
| | - Antoni Kubicki
- Ahmanson-Lovelace Brain Mapping Center, Department of
Neurology, University of California Los Angeles, Los Angeles, CA, 90095
| | - Benjamin Wade
- Ahmanson-Lovelace Brain Mapping Center, Department of
Neurology, University of California Los Angeles, Los Angeles, CA, 90095
| | - Joana Loureiro
- Ahmanson-Lovelace Brain Mapping Center, Department of
Neurology, University of California Los Angeles, Los Angeles, CA, 90095
| | - Gerhard Hellemann
- Department of Psychiatry and Biobehavioral Sciences,
University of California Los Angeles, Los Angeles, CA, 90095
| | - Shantanu H. Joshi
- Ahmanson-Lovelace Brain Mapping Center, Department of
Neurology, University of California Los Angeles, Los Angeles, CA, 90095
| | - Roger P. Woods
- Ahmanson-Lovelace Brain Mapping Center, Department of
Neurology, University of California Los Angeles, Los Angeles, CA, 90095,Department of Psychiatry and Biobehavioral Sciences,
University of California Los Angeles, Los Angeles, CA, 90095
| | - Randall Espinoza
- Department of Psychiatry and Biobehavioral Sciences,
University of California Los Angeles, Los Angeles, CA, 90095
| | - Katherine L. Narr
- Ahmanson-Lovelace Brain Mapping Center, Department of
Neurology, University of California Los Angeles, Los Angeles, CA, 90095,Department of Psychiatry and Biobehavioral Sciences,
University of California Los Angeles, Los Angeles, CA, 90095
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25
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A longitudinal study of the association between basal ganglia volumes and psychomotor symptoms in subjects with late life depression undergoing ECT. Transl Psychiatry 2021; 11:199. [PMID: 33795659 PMCID: PMC8017007 DOI: 10.1038/s41398-021-01314-w] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/22/2020] [Revised: 02/22/2021] [Accepted: 03/11/2021] [Indexed: 12/14/2022] Open
Abstract
Psychomotor dysfunction (PMD) is a core element and key contributor to disability in late life depression (LLD), which responds well to electroconvulsive therapy (ECT). The neurobiology of PMD and its response to ECT are not well understood. We hypothesized that PMD in LLD is associated with lower striatal volume, and that striatal volume increase following ECT explains PMD improvement. We analyzed data from a two-center prospective cohort study of 110 LLD subjects (>55 years) receiving ECT. Brain MRI and assessment of mood, cognition, and PMD was performed 1 week before, 1 week after, and 6 months after ECT. Volumetry of the caudate nucleus, putamen, globus pallidus, and nucleus accumbens was derived from automatically segmented brain MRIs using Freesurfer®. Linear multiple regression analyses were used to study associations between basal ganglia volume and PMD. Brain MRI was available for 66 patients 1 week post ECT and in 22 patients also six months post ECT. Baseline PMD was associated with a smaller left caudate nucleus. One week after ECT, PMD improved and volume increases were detected bilaterally in the caudate nucleus and putamen, and in the right nucleus accumbens. Improved PMD after ECT did not relate to the significant volume increases in these structures, but was predicted by a nonsignificant volume change in the right globus pallidus. No volume differences were detected 6 months after ECT, compared to baseline. Although PMD is related to lower striatal volume in LLD, ECT-induced increase of striatal volume does not explain PMD improvement.
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26
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Baeken C, Wu GR, Rogiers R, Remue J, Lemmens GM, Raedt RD. Cognitive behavioral based group psychotherapy focusing on repetitive negative thinking: Decreased uncontrollability of rumination is related to brain perfusion increases in the left dorsolateral prefrontal cortex. J Psychiatr Res 2021; 136:281-287. [PMID: 33621914 DOI: 10.1016/j.jpsychires.2021.02.011] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/26/2020] [Revised: 01/20/2021] [Accepted: 02/08/2021] [Indexed: 01/22/2023]
Abstract
Repetitive negative thinking (RNT) is a core process underlying various psychiatric disorders. 'Uncontrollability of rumination (UOR)' is one the most maladaptive factors of rumination, but little is known on how cognitive behavioral focused RNT psychotherapy may alter brain activity. In a subsample of 47 patients suffering from RNT who also underwent brain imaging (registered RCT trial NCT01983033), we evaluated the effect of cognitive behavioral based group psychotherapy (CBGP) (n = 25) as compared to a delayed treatment control group (DTCG) (n = 22) on frontolimbic brain perfusion with a focus on UOR. This RNT construct was measured using the subscale 'uncontrollability' of the Dutch version of the Rumination on Sadness Scale (LARSS-U). Brain perfusion was assessed with arterial spin labeling (ASL)-fMRI. LARSS-U scale scores significantly decreased in the CBGP cohort whereas no significant changes emerged in the DTCG group. Compared to the DTCG, this decrease on UOR in the CBGP group was related to significant perfusion increases in the left (dorsolateral) prefrontal cortex, part of the executive network. Besides the fact that CBGP significantly reduced RNT, this attenuation of uncontrollable ruminative thoughts was related to brain perfusion increases areas documented to be involved in the top down control of adaptive emotion regulation and the inhibition of ruminative processes.
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Affiliation(s)
- Chris Baeken
- Department of Head and Skin - Psychiatry and Medical Psychology, Ghent University, Ghent, Belgium; Ghent Experimental Psychiatry (GHEP) lab, Ghent, Belgium; Department of Psychiatry, Ghent University Hospital, Ghent, Belgium; Department of Psychiatry, University Hospital UZBrussel, Brussels, Belgium; Eindhoven University of Technology, Department of Electrical Engineering, Eindhoven, the Netherlands
| | - Guo-Rong Wu
- Key Laboratory of Cognition and Personality, Faculty of Psychology, Southwest University, Chongqing, China.
| | - Roland Rogiers
- Department of Head and Skin - Psychiatry and Medical Psychology, Ghent University, Ghent, Belgium
| | - Jonathan Remue
- Department of Psychiatry, Ghent University Hospital, Ghent, Belgium
| | - Gilbert Md Lemmens
- Department of Head and Skin - Psychiatry and Medical Psychology, Ghent University, Ghent, Belgium; Department of Psychiatry, Ghent University Hospital, Ghent, Belgium
| | - Rudi De Raedt
- Department of Experimental Clinical and Health Psychology, Ghent University, Ghent, Belgium
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27
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Temporal trajectory of brain tissue property changes induced by electroconvulsive therapy. Neuroimage 2021; 232:117895. [PMID: 33617994 DOI: 10.1016/j.neuroimage.2021.117895] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/28/2020] [Revised: 12/31/2020] [Accepted: 02/16/2021] [Indexed: 12/15/2022] Open
Abstract
BACKGROUND After more than eight decades of electroconvulsive therapy (ECT) for pharmaco-resistant depression, the mechanisms governing its anti-depressant effects remain poorly understood. Computational anatomy studies using longitudinal T1-weighted magnetic resonance imaging (MRI) data have demonstrated ECT effects on hippocampus volume and cortical thickness, but they lack the interpretational specificity about underlying neurobiological processes. METHODS We sought to fill in the gap of knowledge by acquiring quantitative MRI indicative for brain's myelin, iron and tissue water content at multiple time-points before, during and after ECT treatment. We adapted established tools for longitudinal spatial registration of MRI data to the relaxometry-based multi-parameter maps aiming to preserve the initial total signal amount and introduced a dedicated multivariate analytical framework. RESULTS The whole-brain voxel-based analysis based on a multivariate general linear model showed that there is no brain tissue oedema contributing to the predicted ECT-induced hippocampus volume increase neither in the short, nor in the long-term observations. Improvements in depression symptom severity over time were associated with changes in both volume estimates and brain tissue properties expanding beyond mesial temporal lobe structures to anterior cingulate cortex, precuneus and striatum. CONCLUSION The obtained results stemming from multi-contrast MRI quantitative data provided a fingerprint of ECT-induced brain tissue changes over time that are contrasted against the background of established morphometry findings. The introduced data processing and statistical testing algorithms provided a reliable analytical framework for longitudinal multi-parameter brain maps. The results, particularly the evidence of lack of ECT impact on brain tissue water, should be considered preliminary considering the small sample size of the study.
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28
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Li Z, Ruan M, Chen J, Fang Y. Major Depressive Disorder: Advances in Neuroscience Research and Translational Applications. Neurosci Bull 2021; 37:863-880. [PMID: 33582959 PMCID: PMC8192601 DOI: 10.1007/s12264-021-00638-3] [Citation(s) in RCA: 86] [Impact Index Per Article: 28.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/30/2020] [Accepted: 09/30/2020] [Indexed: 02/07/2023] Open
Abstract
Major depressive disorder (MDD), also referred to as depression, is one of the most common psychiatric disorders with a high economic burden. The etiology of depression is still not clear, but it is generally believed that MDD is a multifactorial disease caused by the interaction of social, psychological, and biological aspects. Therefore, there is no exact pathological theory that can independently explain its pathogenesis, involving genetics, neurobiology, and neuroimaging. At present, there are many treatment measures for patients with depression, including drug therapy, psychotherapy, and neuromodulation technology. In recent years, great progress has been made in the development of new antidepressants, some of which have been applied in the clinic. This article mainly reviews the research progress, pathogenesis, and treatment of MDD.
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Affiliation(s)
- Zezhi Li
- Clinical Research Center and Division of Mood Disorders of Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, 200030, China.,Department of Neurology, Ren Ji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200127, China
| | - Meihua Ruan
- Shanghai Institute of Nutrition and Health, Shanghai Information Center for Life Sciences, Chinese Academy of Science, Shanghai, 200031, China
| | - Jun Chen
- Clinical Research Center and Division of Mood Disorders of Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, 200030, China.,Shanghai Key Laboratory of Psychotic Disorders, Shanghai, 201108, China
| | - Yiru Fang
- Clinical Research Center and Division of Mood Disorders of Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, 200030, China. .,Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Science, Shanghai, 200031, China. .,Shanghai Key Laboratory of Psychotic Disorders, Shanghai, 201108, China.
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29
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Gbyl K, Rostrup E, Raghava JM, Andersen C, Rosenberg R, Larsson HBW, Videbech P. Volume of hippocampal subregions and clinical improvement following electroconvulsive therapy in patients with depression. Prog Neuropsychopharmacol Biol Psychiatry 2021; 104:110048. [PMID: 32730916 DOI: 10.1016/j.pnpbp.2020.110048] [Citation(s) in RCA: 20] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/11/2020] [Revised: 07/08/2020] [Accepted: 07/21/2020] [Indexed: 12/14/2022]
Abstract
It is thought that the hippocampal neurogenesis is an important mediator of the antidepressant effect of electroconvulsive therapy (ECT). However, most previous studies failed to demonstrate the relationship between the increase in the hippocampal volume and the antidepressant effect. We reinvestigated this relationship by looking at distinct hippocampal subregions and applying repeated measures correlation. Using a 3 Tesla MRI-scanner, we scanned 22 severely depressed in-patients at three time points: before the ECT series, after the series, and at six-month follow-up. The depression severity was assessed by the 17-item Hamilton Rating Scale for Depression (HAMD-17). The hippocampus was segmented into subregions using Freesurfer software. The dentate gyrus (DG) was the primary region of interest (ROI), due to the role of this region in neurogenesis. The other major hippocampal subregions were the secondary ROIs (n = 20). The general linear mixed model and the repeated measures correlation were used for statistical analyses. Immediately after the ECT series, a significant volume increase was present in the right DG (Cohen's d = 1.7) and the left DG (Cohen's d = 1.5), as well as 15 out of 20 secondary ROIs. The clinical improvement, i.e., the decrease in HAMD-17 score, was correlated to the increase in the right DG volume (rrm = -0.77, df = 20, p < .001), and the left DG volume (rrm = -0.75, df = 20, p < .001). Similar correlations were observed in 14 out of 20 secondary ROIs. Thus, ECT induces an increase not only in the volume of the DG, but also in the volume of other major hippocampal subregions. The volumetric increases may reflect a neurobiological process that may be related to the ECT's antidepressant effect. Further investigation of the relationship between hippocampal subregions and the antidepressant effect is warranted. A statistical approach taking the repeated measurements into account should be preferred in the analyses.
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Affiliation(s)
- Krzysztof Gbyl
- Center for Neuropsychiatric Depression Research, Mental Health Center Glostrup, Glostrup, Denmark; Department of Clinical Medicine, Faculty of Health and Medical Science, The University of Copenhagen, Copenhagen, Denmark.
| | - Egill Rostrup
- Center for Neuropsychiatric Schizophrenia Research, and Center for Clinical Intervention and Neuropsychiatric Schizophrenia Research, Mental Health Center Glostrup, Glostrup, Denmark
| | - Jayachandra Mitta Raghava
- Center for Neuropsychiatric Schizophrenia Research, and Center for Clinical Intervention and Neuropsychiatric Schizophrenia Research, Mental Health Center Glostrup, Glostrup, Denmark; Functional Imaging Unit, Department of Clinical Physiology, Nuclear Medicine and PET, Rigshospitalet Glostrup, Glostrup, Denmark
| | | | | | - Henrik Bo Wiberg Larsson
- Functional Imaging Unit, Department of Clinical Physiology, Nuclear Medicine and PET, Rigshospitalet Glostrup, Glostrup, Denmark; Department of Clinical Medicine, Faculty of Health and Medical Science, The University of Copenhagen, Copenhagen, Denmark
| | - Poul Videbech
- Center for Neuropsychiatric Depression Research, Mental Health Center Glostrup, Glostrup, Denmark; Department of Clinical Medicine, Faculty of Health and Medical Science, The University of Copenhagen, Copenhagen, Denmark
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30
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Kruse JL, Olmstead R, Hellemann G, Wade B, Jiang J, Vasavada MM, Brooks JO, Congdon E, Espinoza R, Narr KL, Irwin MR. Inflammation and depression treatment response to electroconvulsive therapy: Sex-specific role of interleukin-8. Brain Behav Immun 2020; 89:59-66. [PMID: 32479994 PMCID: PMC7572496 DOI: 10.1016/j.bbi.2020.05.069] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/24/2020] [Revised: 05/15/2020] [Accepted: 05/26/2020] [Indexed: 12/12/2022] Open
Abstract
Females suffer from depression at twice the rate of males and have differential neural and emotional responses to inflammation. However, sex-specific evaluation of relationships between inflammation and response to depression treatments are lacking. Some data suggest that interleukin(IL)-8 predicts treatment response to antidepressants and has a relationship with depressive symptom severity. This study examines whether IL-8 predicts treatment response to electroconvulsive therapy (ECT), and whether there are sex specific effects. In 40 depressed patients (22 female), plasma levels of IL-8, as well as other markers of inflammation including IL-6, IL-10, tumor necrosis factor (TNF)-α, and C-reactive protein (CRP) were obtained prior to administration of ECT and after completion of the index treatment series. Depression treatment response was defined as ≥ 50% reduction in Hamilton Depression Rating Scale (HAM-D) Score. Baseline levels of IL-8 differed by responder status, depending on sex (group × sex interaction: β = -0.571, p = 0.04), with female responders having lower levels of IL-8 at baseline as compared to female non-responders [t(20) = 2.37, p = 0.03]. Further, IL-8 levels from baseline to end of treatment differed by responder status, depending on sex (group × sex × time interaction: [F(1,36) = 9.48, p = 0.004]), and change in IL-8 from baseline to end of treatment was negatively correlated with percentage change in HAM-D score in females (β = -0.458, p = 0.03), but not in males (β = 0.315, p = 0.20). Other inflammatory markers did not differ in relation to responder status and sex. Further evaluation of sex differences in the relationship between IL-8, depression, and treatment response, across disparate treatment modalities, may inform mechanisms of response and aid in development of personalized medicine strategies.
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Affiliation(s)
- Jennifer L. Kruse
- Cousins Center for Psychoneuroimmunology,Jane and Terry Semel Institute for Neuroscience and Human Behavior at UCLA, Department of Psychiatry and Biobehavioral Sciences, David Geffen School of Medicine
| | - Richard Olmstead
- Cousins Center for Psychoneuroimmunology,Jane and Terry Semel Institute for Neuroscience and Human Behavior at UCLA, Department of Psychiatry and Biobehavioral Sciences, David Geffen School of Medicine
| | - Gerhard Hellemann
- Jane and Terry Semel Institute for Neuroscience and Human Behavior at UCLA, Department of Psychiatry and Biobehavioral Sciences, David Geffen School of Medicine
| | - Benjamin Wade
- Jane and Terry Semel Institute for Neuroscience and Human Behavior at UCLA, Department of Psychiatry and Biobehavioral Sciences, David Geffen School of Medicine,Department of Neurology, University of California at Los Angeles, Los Angeles, California
| | - Janina Jiang
- Cousins Center for Psychoneuroimmunology,Jane and Terry Semel Institute for Neuroscience and Human Behavior at UCLA, Department of Psychiatry and Biobehavioral Sciences, David Geffen School of Medicine
| | - Megha M. Vasavada
- Department of Neurology, University of California at Los Angeles, Los Angeles, California
| | - John O. Brooks
- Jane and Terry Semel Institute for Neuroscience and Human Behavior at UCLA, Department of Psychiatry and Biobehavioral Sciences, David Geffen School of Medicine
| | - Eliza Congdon
- Jane and Terry Semel Institute for Neuroscience and Human Behavior at UCLA, Department of Psychiatry and Biobehavioral Sciences, David Geffen School of Medicine
| | - Randall Espinoza
- Jane and Terry Semel Institute for Neuroscience and Human Behavior at UCLA, Department of Psychiatry and Biobehavioral Sciences, David Geffen School of Medicine
| | - Katherine L. Narr
- Jane and Terry Semel Institute for Neuroscience and Human Behavior at UCLA, Department of Psychiatry and Biobehavioral Sciences, David Geffen School of Medicine,Department of Neurology, University of California at Los Angeles, Los Angeles, California
| | - Michael R. Irwin
- Cousins Center for Psychoneuroimmunology,Jane and Terry Semel Institute for Neuroscience and Human Behavior at UCLA, Department of Psychiatry and Biobehavioral Sciences, David Geffen School of Medicine
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31
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Sackeim HA. The impact of electroconvulsive therapy on brain grey matter volume: What does it mean? Brain Stimul 2020; 13:1226-1231. [DOI: 10.1016/j.brs.2020.04.014] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/17/2020] [Revised: 04/21/2020] [Accepted: 04/22/2020] [Indexed: 01/16/2023] Open
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Baeken C, Wu G, Sackeim HA. Accelerated iTBS treatment applied to the left DLPFC in depressed patients results in a rapid volume increase in the left hippocampal dentate gyrus, not driven by brain perfusion. Brain Stimul 2020; 13:1211-1217. [DOI: 10.1016/j.brs.2020.05.015] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/06/2019] [Revised: 05/15/2020] [Accepted: 05/29/2020] [Indexed: 02/06/2023] Open
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Wang D, Tian Y, Li M, Dahmani L, Wei Q, Bai T, Galiè F, Ren J, Farooq RK, Wang K, Lu J, Wang K, Liu H. Functional connectivity underpinnings of electroconvulsive therapy-induced memory impairments in patients with depression. Neuropsychopharmacology 2020; 45:1579-1587. [PMID: 32434212 PMCID: PMC7360738 DOI: 10.1038/s41386-020-0711-2] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/10/2019] [Revised: 04/20/2020] [Accepted: 05/11/2020] [Indexed: 12/14/2022]
Abstract
Electroconvulsive therapy (ECT) is an effective treatment for severe medication-resistant depression. However, ECT frequently results in episodic memory impairments, causing many patients to discontinue treatment. The objective of this study was to explore the functional connectivity underpinnings of ECT-induced episodic memory impairments. We investigated verbal episodic memory and intrinsic functional connectivity in 24 patients with depression (13F, 11M) before and after ECT, and 1 month after treatment. We used a novel individual-oriented approach to examine functional connectivity, and trained a linear support vector regression model to estimate verbal memory performance based on connectivity. The model identified a set of brain connections that can predict baseline verbal memory performance (r = 0.535, p = 0.026). Importantly, we found a nonoverlapping set of brain connections whose changes after ECT can track patients' verbal memory impairments (r = 0.613, p = 0.008). These connections mainly involve the frontoparietal control, default mode, and hippocampal networks, suggesting that ECT affects broad functional networks that are involved in memory performance. In contrast, functional connectivity defined using traditional group-level analyses was unable to estimate either baseline memory performance or post-ECT verbal memory impairments. A parallel analysis using the same strategy did not identify a connectivity marker for overall mood improvement, suggesting that functional connectivity changes related to depressive symptoms may be highly heterogenous. Our findings shed light on the mechanism through which ECT impairs episodic memory, and additionally underline the importance of accounting for interindividual variability in the investigation of functional brain organization in patients with depression.
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Affiliation(s)
- Danhong Wang
- Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Charlestown, MA, USA
| | - Yanghua Tian
- Department of Neurology, The First Affiliated Hospital of Anhui Medical University, Hefei, China
- Anhui Province Key Laboratory of Cognition and Neuropsychiatric Disorders, Hefei, 230022, China
| | - Meiling Li
- Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Charlestown, MA, USA
- Key Laboratory for NeuroInformation of Ministry of Education, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, China
| | - Louisa Dahmani
- Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Charlestown, MA, USA
| | - Qiang Wei
- Department of Neurology, The First Affiliated Hospital of Anhui Medical University, Hefei, China
- Anhui Province Key Laboratory of Cognition and Neuropsychiatric Disorders, Hefei, 230022, China
| | - Tongjian Bai
- Department of Neurology, The First Affiliated Hospital of Anhui Medical University, Hefei, China
- Anhui Province Key Laboratory of Cognition and Neuropsychiatric Disorders, Hefei, 230022, China
| | - Franziska Galiè
- Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Charlestown, MA, USA
| | - Jianxun Ren
- Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Charlestown, MA, USA
| | - Rai Khalid Farooq
- Institute for Research and Medical Consultations, Imam Abdulahman Bin Faisal University, Dammam, Saudi Arabia
| | - Kangcheng Wang
- Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Charlestown, MA, USA
| | - Jie Lu
- Department of Radiology, Xuanwu Hospital, Beijing, China
| | - Kai Wang
- Department of Neurology, The First Affiliated Hospital of Anhui Medical University, Hefei, China.
- Anhui Province Key Laboratory of Cognition and Neuropsychiatric Disorders, Hefei, 230022, China.
| | - Hesheng Liu
- Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Charlestown, MA, USA.
- Beijing Institute for Brain Disorders, Capital Medical University, Beijing, China.
- Department of Neuroscience, Medical University of South Carolina, Charleston, SC, USA.
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34
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Vasavada MM, Loureiro J, Kubicki A, Sahib A, Wade B, Hellemann G, Espinoza RT, Congdon E, Narr KL, Leaver AM. Effects of Serial Ketamine Infusions on Corticolimbic Functional Connectivity in Major Depression. BIOLOGICAL PSYCHIATRY: COGNITIVE NEUROSCIENCE AND NEUROIMAGING 2020; 6:735-744. [PMID: 32900657 DOI: 10.1016/j.bpsc.2020.06.015] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/08/2020] [Revised: 06/25/2020] [Accepted: 06/26/2020] [Indexed: 01/04/2023]
Abstract
BACKGROUND Ketamine is a highly effective antidepressant for patients with treatment-resistant major depressive disorder (MDD). Resting-state functional magnetic resonance imaging studies show disruptions of functional connectivity (FC) between limbic regions and resting-state networks (RSNs) in MDD, including the default mode network, central executive network (CEN), and salience network (SN). Here, we investigated whether serial ketamine treatments change FC between limbic structures and RSNs. METHODS Patients with MDD (n = 44) were scanned at baseline (time 1 [T1]) and 24 hours after the first (T2) and fourth (T3) infusions of ketamine. Healthy control subjects (n = 50) were scanned at baseline, with a subgroup (n = 17) being rescanned at 2 weeks. Limbic regions included the amygdala and hippocampus, and RSNs included the default mode network, CEN, and SN. RESULTS Ketamine increased right amygdala FC to the right CEN (p = .05), decreased amygdala FC to the left CEN (p = .005) at T2 versus T1 (p = .015), which then increased at T3 versus T2 (p = .002), and decreased left amygdala FC to the SN (p = .016). Decreased left amygdala to SN FC at T2 predicted improvements in anxiety at T3 (p = .006). Ketamine increased right hippocampus FC to the left CEN (p = .001), and this change at T2 predicted decreased anhedonia at T3 (p = .005). CONCLUSIONS Ketamine modulates FC between limbic regions and RSNs implicated in MDD. Increases in FC between limbic regions and the CEN suggest that ketamine may be involved in restoring top-down control of emotion processing. FC decreases between the left amygdala and SN suggest that ketamine may ameliorate MDD-related dysconnectivity in these circuits. Early FC changes between limbic regions and RSNs may be predictive of clinical improvements.
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Affiliation(s)
- Megha M Vasavada
- Ahmanson-Lovelace Brain Mapping Center, Department of Neurology, Geffen School of Medicine, University of California, Los Angeles, Los Angeles, California
| | - Joana Loureiro
- Ahmanson-Lovelace Brain Mapping Center, Department of Neurology, Geffen School of Medicine, University of California, Los Angeles, Los Angeles, California
| | - Antoni Kubicki
- Ahmanson-Lovelace Brain Mapping Center, Department of Neurology, Geffen School of Medicine, University of California, Los Angeles, Los Angeles, California
| | - Ashish Sahib
- Ahmanson-Lovelace Brain Mapping Center, Department of Neurology, Geffen School of Medicine, University of California, Los Angeles, Los Angeles, California
| | - Benjamin Wade
- Ahmanson-Lovelace Brain Mapping Center, Department of Neurology, Geffen School of Medicine, University of California, Los Angeles, Los Angeles, California
| | - Gerhard Hellemann
- Jane and Terry Semel Institute for Neuroscience and Human Behavior, Department of Psychiatry and Biobehavioral Sciences, Geffen School of Medicine, University of California, Los Angeles, Los Angeles, California
| | - Randall T Espinoza
- Jane and Terry Semel Institute for Neuroscience and Human Behavior, Department of Psychiatry and Biobehavioral Sciences, Geffen School of Medicine, University of California, Los Angeles, Los Angeles, California
| | - Eliza Congdon
- Jane and Terry Semel Institute for Neuroscience and Human Behavior, Department of Psychiatry and Biobehavioral Sciences, Geffen School of Medicine, University of California, Los Angeles, Los Angeles, California
| | - Katherine L Narr
- Ahmanson-Lovelace Brain Mapping Center, Department of Neurology, Geffen School of Medicine, University of California, Los Angeles, Los Angeles, California; Jane and Terry Semel Institute for Neuroscience and Human Behavior, Department of Psychiatry and Biobehavioral Sciences, Geffen School of Medicine, University of California, Los Angeles, Los Angeles, California
| | - Amber M Leaver
- Department of Radiology, Northwestern University Feinberg School of Medicine, Chicago, Illinois.
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35
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Vasogenic edema versus neuroplasticity as neural correlates of hippocampal volume increase following electroconvulsive therapy. Brain Stimul 2020; 13:1080-1086. [DOI: 10.1016/j.brs.2020.04.017] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2020] [Revised: 04/07/2020] [Accepted: 04/27/2020] [Indexed: 02/08/2023] Open
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36
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Qi S, Abbott CC, Narr KL, Jiang R, Upston J, McClintock SM, Espinoza R, Jones T, Zhi D, Sun H, Yang X, Sui J, Calhoun VD. Electroconvulsive therapy treatment responsive multimodal brain networks. Hum Brain Mapp 2020; 41:1775-1785. [PMID: 31904902 PMCID: PMC7267951 DOI: 10.1002/hbm.24910] [Citation(s) in RCA: 17] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/12/2019] [Revised: 12/02/2019] [Accepted: 12/16/2019] [Indexed: 02/05/2023] Open
Abstract
Electroconvulsive therapy is regarded as the most effective antidepressant treatment for severe and treatment-resistant depressive episodes. Despite the efficacy of electroconvulsive therapy, the neurobiological underpinnings and mechanisms underlying electroconvulsive therapy induced antidepressant effects remain unclear. The objective of this investigation was to identify electroconvulsive therapy treatment responsive multimodal biomarkers with the 17-item Hamilton Depression Rating Scale guided brain structure-function fusion in 118 patients with depressive episodes and 60 healthy controls. Results show that reduced fractional amplitude of low frequency fluctuations in the prefrontal cortex, insula and hippocampus, linked with increased gray matter volume in anterior cingulate, medial temporal cortex, insula, thalamus, caudate and hippocampus represent electroconvulsive therapy responsive covarying functional and structural brain networks. In addition, relative to nonresponders, responder-specific electroconvulsive therapy related brain networks occur in frontal-limbic network and are associated with successful therapeutic outcomes. Finally, electroconvulsive therapy responsive brain networks were unrelated to verbal declarative memory. Using a data-driven, supervised-learning method, we demonstrated that electroconvulsive therapy produces a remodeling of brain functional and structural covariance that was unique to antidepressant symptom response, but not linked to memory impairment.
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Affiliation(s)
- Shile Qi
- Tri‐institutional Center for Translational Research in Neuroimaging and Data Science (TReNDS) [Georgia State University, Georgia Institute of Technology, Emory University]AtlantaGeorgia
| | | | - Katherine L. Narr
- Department of Neurology, Psychiatry and Biobehavioral SciencesUniversity of CaliforniaLos Angeles (UCLA)California
| | - Rongtao Jiang
- Brainnetome Center and National Laboratory of Pattern RecognitionInstitute of Automation, Chinese Academy of SciencesBeijingChina
- University of Chinese Academy of SciencesBeijingChina
| | - Joel Upston
- Department of PsychiatryUniversity of New MexicoAlbuquerqueNew Mexico
| | - Shawn M. McClintock
- Department of PsychiatryUniversity of Texas Southwestern Medical CenterDallasTexas
| | - Randall Espinoza
- Department of Neurology, Psychiatry and Biobehavioral SciencesUniversity of CaliforniaLos Angeles (UCLA)California
| | - Tom Jones
- Department of PsychiatryUniversity of New MexicoAlbuquerqueNew Mexico
| | - Dongmei Zhi
- Brainnetome Center and National Laboratory of Pattern RecognitionInstitute of Automation, Chinese Academy of SciencesBeijingChina
- University of Chinese Academy of SciencesBeijingChina
| | - Hailun Sun
- Brainnetome Center and National Laboratory of Pattern RecognitionInstitute of Automation, Chinese Academy of SciencesBeijingChina
- University of Chinese Academy of SciencesBeijingChina
| | - Xiao Yang
- Huaxi Brain Research CenterWest China Hospital of Sichuan UniversityChengduChina
| | - Jing Sui
- Brainnetome Center and National Laboratory of Pattern RecognitionInstitute of Automation, Chinese Academy of SciencesBeijingChina
- University of Chinese Academy of SciencesBeijingChina
- Chinese Academy of Sciences Center for Excellence in Brain Science, Institute of AutomationBeijingChina
| | - Vince D. Calhoun
- Tri‐institutional Center for Translational Research in Neuroimaging and Data Science (TReNDS) [Georgia State University, Georgia Institute of Technology, Emory University]AtlantaGeorgia
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Sahib AK, Loureiro JRA, Vasavada MM, Kubicki A, Joshi SH, Wang K, Woods RP, Congdon E, Wang DJJ, Boucher ML, Espinoza R, Narr KL. Single and repeated ketamine treatment induces perfusion changes in sensory and limbic networks in major depressive disorder. Eur Neuropsychopharmacol 2020; 33:89-100. [PMID: 32061453 PMCID: PMC8869841 DOI: 10.1016/j.euroneuro.2020.01.017] [Citation(s) in RCA: 27] [Impact Index Per Article: 6.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/19/2019] [Revised: 01/10/2020] [Accepted: 01/26/2020] [Indexed: 12/15/2022]
Abstract
Ketamine infusion therapy can produce fast-acting antidepressant effects in patients with major depressive disorder (MDD). Yet, how single and repeated ketamine treatment induces brain systems-level neuroplasticity underlying symptom improvement is unknown. Advanced multiband imaging (MB) pseudo-continuous arterial spin labeling (pCASL) perfusion MRI data was acquired from patients with treatment resistant depression (TRD) (N = 22, mean age=35.2 ± 9.95 SD, 27% female) at baseline, and 24 h after receiving single, and four subanesthetic (0.5 mg/kg) intravenous ketamine infusions. Changes in global and regional CBF were compared across time points, and relationships with overall mood, anhedonia and apathy were examined. Comparisons between patients at baseline and controls (N = 18, mean age=36.11 ± 14.5 SD, 57% female) established normalization of treatment effects. Results showed increased regional CBF in the cingulate and primary and higher-order visual association regions after first ketamine treatment. Baseline CBF in the fusiform, and acute changes in CBF in visual areas were related to symptom improvement after single and repeated ketamine treatment, respectively. In contrast, after serial infusion therapy, decreases in regional CBF were observed in the bilateral hippocampus and right insula with ketamine treatment. Findings demonstrate that neurophysiological changes occurring with single and repeated ketamine treatment follow both a regional and temporal pattern including sensory and limbic regions. Initial changes are observed in the posterior cingulate and precuneus and primary and higher-order visual areas, which relate to clinical responses. However, repeated exposure to ketamine, though not relating to clinical outcome, appears to engage deeper limbic structures and insula. ClinicalTrials.gov: Biomarkers of Fast Acting Therapies in Major Depression, https://clinicaltrials.gov/ct2/show/NCT02165449, NCT02165449.
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Affiliation(s)
- Ashish K Sahib
- Department of Neurology, Ahamason-Lovelace Brain Mapping Center, United States
| | - Joana R A Loureiro
- Department of Neurology, Ahamason-Lovelace Brain Mapping Center, United States
| | - Megha M Vasavada
- Department of Neurology, Ahamason-Lovelace Brain Mapping Center, United States
| | - Antoni Kubicki
- Department of Neurology, Ahamason-Lovelace Brain Mapping Center, United States
| | - Shantanu H Joshi
- Department of Neurology, Ahamason-Lovelace Brain Mapping Center, United States
| | - Kai Wang
- Laboratory of FMRI Technology (LOFT), Stevens Neuroimaging and Informatics Institute, University of Southern California, Los Angeles, CA, United States
| | - Roger P Woods
- Department of Neurology, Ahamason-Lovelace Brain Mapping Center, United States
| | - Eliza Congdon
- Department of Psychiatry and Biobehavioral Sciences, University of California Los Angeles, 635 Charles E Young Drive South Suite, Los Angeles, CA 90095-7334, United States
| | - Danny J J Wang
- Laboratory of FMRI Technology (LOFT), Stevens Neuroimaging and Informatics Institute, University of Southern California, Los Angeles, CA, United States
| | - Michael L Boucher
- Department of Psychiatry and Biobehavioral Sciences, University of California Los Angeles, 635 Charles E Young Drive South Suite, Los Angeles, CA 90095-7334, United States
| | - Randall Espinoza
- Department of Psychiatry and Biobehavioral Sciences, University of California Los Angeles, 635 Charles E Young Drive South Suite, Los Angeles, CA 90095-7334, United States
| | - Katherine L Narr
- Department of Neurology, Ahamason-Lovelace Brain Mapping Center, United States; Department of Psychiatry and Biobehavioral Sciences, University of California Los Angeles, 635 Charles E Young Drive South Suite, Los Angeles, CA 90095-7334, United States.
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38
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Ousdal OT, Argyelan M, Narr KL, Abbott C, Wade B, Vandenbulcke M, Urretavizcaya M, Tendolkar I, Takamiya A, Stek ML, Soriano-Mas C, Redlich R, Paulson OB, Oudega ML, Opel N, Nordanskog P, Kishimoto T, Kampe R, Jorgensen A, Hanson LG, Hamilton JP, Espinoza R, Emsell L, van Eijndhoven P, Dols A, Dannlowski U, Cardoner N, Bouckaert F, Anand A, Bartsch H, Kessler U, Oedegaard KJ, Dale AM, Oltedal L. Brain Changes Induced by Electroconvulsive Therapy Are Broadly Distributed. Biol Psychiatry 2020; 87:451-461. [PMID: 31561859 DOI: 10.1016/j.biopsych.2019.07.010] [Citation(s) in RCA: 57] [Impact Index Per Article: 14.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/28/2019] [Revised: 07/14/2019] [Accepted: 07/15/2019] [Indexed: 12/23/2022]
Abstract
BACKGROUND Electroconvulsive therapy (ECT) is associated with volumetric enlargements of corticolimbic brain regions. However, the pattern of whole-brain structural alterations following ECT remains unresolved. Here, we examined the longitudinal effects of ECT on global and local variations in gray matter, white matter, and ventricle volumes in patients with major depressive disorder as well as predictors of ECT-related clinical response. METHODS Longitudinal magnetic resonance imaging and clinical data from the Global ECT-MRI Research Collaboration (GEMRIC) were used to investigate changes in white matter, gray matter, and ventricle volumes before and after ECT in 328 patients experiencing a major depressive episode. In addition, 95 nondepressed control subjects were scanned twice. We performed a mega-analysis of single subject data from 14 independent GEMRIC sites. RESULTS Volumetric increases occurred in 79 of 84 gray matter regions of interest. In total, the cortical volume increased by mean ± SD of 1.04 ± 1.03% (Cohen's d = 1.01, p < .001) and the subcortical gray matter volume increased by 1.47 ± 1.05% (d = 1.40, p < .001) in patients. The subcortical gray matter increase was negatively associated with total ventricle volume (Spearman's rank correlation ρ = -.44, p < .001), while total white matter volume remained unchanged (d = -0.05, p = .41). The changes were modulated by number of ECTs and mode of electrode placements. However, the gray matter volumetric enlargements were not associated with clinical outcome. CONCLUSIONS The findings suggest that ECT induces gray matter volumetric increases that are broadly distributed. However, gross volumetric increases of specific anatomically defined regions may not serve as feasible biomarkers of clinical response.
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Affiliation(s)
| | - Miklos Argyelan
- Center for Psychiatric Neuroscience at the Feinstein Institute for Medical Research, New York, New York
| | - Katherine L Narr
- Departments of Neurology, Psychiatry, and Biobehavioral Sciences, University of California, Los Angeles, Los Angeles
| | - Christopher Abbott
- Department of Psychiatry, University of New Mexico School of Medicine, Albuquerque, New Mexico
| | - Benjamin Wade
- Departments of Neurology, Psychiatry, and Biobehavioral Sciences, University of California, Los Angeles, Los Angeles
| | - Mathieu Vandenbulcke
- Department of Geriatric Psychiatry, University Psychiatric Center Katholieke Universiteit Leuven, Katholieke Universiteit Leuven, Leuven, Belgium
| | - Mikel Urretavizcaya
- Department of Psychiatry, Bellvitge University Hospital-Bellvitge Biomedical Research Institute; Department of Clinical Sciences, School of Medicine, University of Barcelona, Barcelona, Spain; Centro de Investigación Biomédica en Red de Salud Mental, Carlos III Health Institute, Madrid, Spain
| | - Indira Tendolkar
- Department of Psychiatry, Radboud University Medical Center, Nijmegen, The Netherlands; Donders Institute for Brain Cognition and Behavior, Centre for Cognitive Neuroimaging, Nijmegen, The Netherlands; Faculty of Medicine and Landschaftsverband Rheinland Clinic for Psychiatry and Psychotherapy, University of Duisburg-Essen, Duisburg-Essen, Germany
| | - Akihiro Takamiya
- Department of Neuropsychiatry, Keio University School of Medicine, Tokyo, Japan; Center for Psychiatry and Behavioral Science, Komagino Hospital, Tokyo, Japan
| | - Max L Stek
- Geestelijke GezondheidsZorg inGeest Specialized Mental Health Care, Amsterdam, The Netherlands; Amsterdam University Medical Center, Vrije Universiteit Amsterdam, Psychiatry, Amsterdam Neuroscience, Amsterdam, The Netherlands
| | - Carles Soriano-Mas
- Department of Psychiatry, Bellvitge University Hospital-Bellvitge Biomedical Research Institute; Department of Psychobiology and Methodology in Health Sciences, Universitat Autònoma de Barcelona, Barcelona, Spain; Centro de Investigación Biomédica en Red de Salud Mental, Carlos III Health Institute, Madrid, Spain
| | - Ronny Redlich
- Department of Psychiatry and Psychotherapy, University of Muenster, Muenster, Germany
| | - Olaf B Paulson
- Neurobiology Research Unit, Department of Neurology, Rigshospitalet, Copenhagen, Denmark; Department of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark
| | - Mardien L Oudega
- Geestelijke GezondheidsZorg inGeest Specialized Mental Health Care, Amsterdam, The Netherlands; Amsterdam University Medical Center, Vrije Universiteit Amsterdam, Psychiatry, Amsterdam Neuroscience, Amsterdam, The Netherlands
| | - Nils Opel
- Department of Psychiatry and Psychotherapy, University of Muenster, Muenster, Germany; Interdisciplinary Centre for Clinical Research (IZKF), University of Muenster, Muenster, Germany
| | - Pia Nordanskog
- Center for Social and Affective Neuroscience, Department of Clinical and Experimental Medicine, Linköping University, Linköping, Sweden
| | - Taishiro Kishimoto
- Department of Neuropsychiatry, Keio University School of Medicine, Tokyo, Japan
| | - Robin Kampe
- Center for Social and Affective Neuroscience, Department of Clinical and Experimental Medicine, Linköping University, Linköping, Sweden
| | - Anders Jorgensen
- Psychiatric Center Copenhagen (Rigshospitalet), Mental Health Services of the Capital Region of Denmark, Copenhagen, Denmark
| | - Lars G Hanson
- Center for Magnetic Resonance, Department of Health Technology, Technical University of Denmark, Kongens Lyngby, Denmark; Danish Research Centre for Magnetic Resonance, Center for Functional and Diagnostic Imaging and Research, Copenhagen University Hospital, Hvidovre, Denmark
| | - J Paul Hamilton
- Center for Social and Affective Neuroscience, Department of Clinical and Experimental Medicine, Linköping University, Linköping, Sweden
| | - Randall Espinoza
- Departments of Neurology, Psychiatry, and Biobehavioral Sciences, University of California, Los Angeles, Los Angeles
| | - Louise Emsell
- Department of Geriatric Psychiatry, University Psychiatric Center Katholieke Universiteit Leuven, Katholieke Universiteit Leuven, Leuven, Belgium
| | - Philip van Eijndhoven
- Department of Psychiatry, Radboud University Medical Center, Nijmegen, The Netherlands; Donders Institute for Brain Cognition and Behavior, Centre for Cognitive Neuroimaging, Nijmegen, The Netherlands
| | - Annemieke Dols
- Geestelijke GezondheidsZorg inGeest Specialized Mental Health Care, Amsterdam, The Netherlands; Amsterdam University Medical Center, Vrije Universiteit Amsterdam, Psychiatry, Amsterdam Neuroscience, Amsterdam, The Netherlands
| | - Udo Dannlowski
- Department of Psychiatry and Psychotherapy, University of Muenster, Muenster, Germany
| | - Narcis Cardoner
- Department of Psychiatry and Forensic Medicine, Universitat Autònoma de Barcelona, Barcelona, Spain; Centro de Investigación Biomédica en Red de Salud Mental, Carlos III Health Institute, Madrid, Spain; Department of Mental Health, University Hospital Parc Taulí-I3PT, Sabadell, Spain
| | - Filip Bouckaert
- Department of Geriatric Psychiatry, University Psychiatric Center Katholieke Universiteit Leuven, Katholieke Universiteit Leuven, Leuven, Belgium
| | - Amit Anand
- Cleveland Clinic, Center for Behavioral Health, Cleveland, Ohio
| | - Hauke Bartsch
- Center for Multimodal Imaging and Genetics, University of California, San Diego, La Jolla, California; Department of Radiology, University of California, San Diego, La Jolla, California
| | - Ute Kessler
- Norwegian Centre for Mental Disorders Research, Division of Psychiatry, Haukeland University Hospital, Bergen, Norway; Department of Clinical Medicine, University of Bergen, Bergen, Norway
| | - Ketil J Oedegaard
- Norwegian Centre for Mental Disorders Research, Division of Psychiatry, Haukeland University Hospital, Bergen, Norway; Department of Clinical Medicine, University of Bergen, Bergen, Norway
| | - Anders M Dale
- Center for Multimodal Imaging and Genetics, University of California, San Diego, La Jolla, California; Department of Radiology, University of California, San Diego, La Jolla, California; Department of Neurosciences, University of California, San Diego, La Jolla, California
| | - Leif Oltedal
- Mohn Medical Imaging and Visualization Centre, Department of Radiology, Haukeland University Hospital, Bergen, Norway; Department of Clinical Medicine, University of Bergen, Bergen, Norway
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Li M, Yao X, Sun L, Zhao L, Xu W, Zhao H, Zhao F, Zou X, Cheng Z, Li B, Yang W, Cui R. Effects of Electroconvulsive Therapy on Depression and Its Potential Mechanism. Front Psychol 2020; 11:80. [PMID: 32153449 PMCID: PMC7044268 DOI: 10.3389/fpsyg.2020.00080] [Citation(s) in RCA: 39] [Impact Index Per Article: 9.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/03/2019] [Accepted: 01/13/2020] [Indexed: 12/20/2022] Open
Abstract
Depression is one of the most common disorders causing mortality around the world. Although electroconvulsive therapy (ECT) is, along with antidepressants and psychotherapy, one of the three major treatments of depression, it is still considered as the last resort for depressed patients. This situation is partially due to limited studies and uncertainty regarding its mechanism. However, decades of increased research have focused on the effects of ECT on depression and its potential mechanism. Furthermore, these investigations may suggest that ECT should be a first-line therapy for depression due to its profound effects in relieving desperation in certain situations. Here, we outline recent clinical and preclinical studies and summarize the advantages and disadvantages of ECT. Thus, this review may provide some hints for clinical application.
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Affiliation(s)
- Ming Li
- Jilin Provincial Key Laboratory on Molecular and Chemical Genetics, The Second Hospital of Jilin University, Changchun, China
| | - Xiaoxiao Yao
- Jilin Provincial Key Laboratory on Molecular and Chemical Genetics, The Second Hospital of Jilin University, Changchun, China
| | - Lihua Sun
- Jilin Provincial Key Laboratory on Molecular and Chemical Genetics, The Second Hospital of Jilin University, Changchun, China
| | - Lihong Zhao
- Jilin Provincial Key Laboratory on Molecular and Chemical Genetics, The Second Hospital of Jilin University, Changchun, China
| | - Wenbo Xu
- Jilin Provincial Key Laboratory on Molecular and Chemical Genetics, The Second Hospital of Jilin University, Changchun, China
| | - Haisheng Zhao
- Jilin Provincial Key Laboratory on Molecular and Chemical Genetics, The Second Hospital of Jilin University, Changchun, China
| | - Fangyi Zhao
- Jilin Provincial Key Laboratory on Molecular and Chemical Genetics, The Second Hospital of Jilin University, Changchun, China
| | - Xiaohan Zou
- Jilin Provincial Key Laboratory on Molecular and Chemical Genetics, The Second Hospital of Jilin University, Changchun, China
| | - Ziqian Cheng
- Jilin Provincial Key Laboratory on Molecular and Chemical Genetics, The Second Hospital of Jilin University, Changchun, China
| | - Bingjin Li
- Jilin Provincial Key Laboratory on Molecular and Chemical Genetics, The Second Hospital of Jilin University, Changchun, China
| | - Wei Yang
- Jilin Provincial Key Laboratory on Molecular and Chemical Genetics, The Second Hospital of Jilin University, Changchun, China
| | - Ranji Cui
- Jilin Provincial Key Laboratory on Molecular and Chemical Genetics, The Second Hospital of Jilin University, Changchun, China
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40
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Argyelan M, Oltedal L, Deng ZD, Wade B, Bikson M, Joanlanne A, Sanghani S, Bartsch H, Cano M, Dale AM, Dannlowski U, Dols A, Enneking V, Espinoza R, Kessler U, Narr KL, Oedegaard KJ, Oudega ML, Redlich R, Stek ML, Takamiya A, Emsell L, Bouckaert F, Sienaert P, Pujol J, Tendolkar I, van Eijndhoven P, Petrides G, Malhotra AK, Abbott C. Electric field causes volumetric changes in the human brain. eLife 2019; 8:49115. [PMID: 31644424 PMCID: PMC6874416 DOI: 10.7554/elife.49115] [Citation(s) in RCA: 45] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/06/2019] [Accepted: 10/22/2019] [Indexed: 12/13/2022] Open
Abstract
Recent longitudinal neuroimaging studies in patients with electroconvulsive therapy (ECT) suggest local effects of electric stimulation (lateralized) occur in tandem with global seizure activity (generalized). We used electric field (EF) modeling in 151 ECT treated patients with depression to determine the regional relationships between EF, unbiased longitudinal volume change, and antidepressant response across 85 brain regions. The majority of regional volumes increased significantly, and volumetric changes correlated with regional electric field (t = 3.77, df = 83, r = 0.38, p=0.0003). After controlling for nuisance variables (age, treatment number, and study site), we identified two regions (left amygdala and left hippocampus) with a strong relationship between EF and volume change (FDR corrected p<0.01). However, neither structural volume changes nor electric field was associated with antidepressant response. In summary, we showed that high electrical fields are strongly associated with robust volume changes in a dose-dependent fashion. Electroconvulsive therapy, or ECT for short, can be an effective treatment for severe depression. Many patients who do not respond to medication find that their symptoms improve after ECT. During an ECT session, the patient is placed under general anesthesia and two electrodes are attached to the scalp to produce an electric field that generates currents within the brain. These currents activate neurons and make them fire, causing a seizure, but it remains unclear how this reduces symptoms of depression. For many years, researchers thought that the induced seizure must be key to the beneficial effects of ECT, but recent studies have cast doubt on this idea. They show that increasing the strength of the electric field alters the clinical effects of ECT, without affecting the seizure. This suggests that the benefits of ECT depend on the electric field itself. Argyelan et al. now show that electric fields affect the brain by making a part of the brain known as the gray matter expand. In a large multinational study, 151 patients with severe depression underwent brain scans before and after a course of ECT. The scans revealed that the gray matter of the patients’ brains expanded during the treatment. The patients who experienced the strongest electric fields showed the largest increase in brain volume, and individual brain areas expanded if the electric field within them exceeded a certain threshold. This effect was particularly striking in two areas, the hippocampus and the amygdala. Both of these areas are critical for mood and memory. Further studies are needed to determine why the brain expands after ECT, and how long the effect lasts. Another puzzle is why the improvements in depression that the patients reported after their treatment did not correlate with changes in brain volume. Disentangling the relationships between ECT, brain volume and depression will ultimately help develop more robust treatments for this disabling condition.
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Affiliation(s)
- Miklos Argyelan
- Department of Psychiatry, The Zucker Hillside Hospital, Glen Oaks, United States.,Center for Neuroscience, Feinstein Institute for Medical Research, Manhasset, United States.,Department of Psychiatry, Zucker School of Medicine, Hempstead, United States
| | - Leif Oltedal
- Department of Clinical Medicine, University of Bergen, Bergen, Norway.,Department of Radiology, Haukeland University Hospital, Mohn Medical Imaging and Visualization Centre, Bergen, Norway
| | - Zhi-De Deng
- Experimental Therapeutics and Pathophysiology Branch, National Institute of Mental Health, Bethesda, United States
| | - Benjamin Wade
- Department of Neurology, Ahmanson-Lovelace Brain Mapping Center, University of California, Los Angeles, Los Angeles, United States
| | - Marom Bikson
- Department of Biomedical Engineering, The City College of the City University of New York, New York, United States
| | - Andrea Joanlanne
- Department of Psychiatry, The Zucker Hillside Hospital, Glen Oaks, United States
| | - Sohag Sanghani
- Department of Psychiatry, The Zucker Hillside Hospital, Glen Oaks, United States
| | - Hauke Bartsch
- Department of Radiology, Haukeland University Hospital, Mohn Medical Imaging and Visualization Centre, Bergen, Norway.,Center for Multimodal Imaging and Genetics, University of California, San Diego, San Diego, United States
| | - Marta Cano
- Department of Psychiatry, Bellvitge University Hospital-IDIBELL, Barcelona, Spain.,CIBERSAM, Carlos III Health Institute, Barcelona, Spain
| | - Anders M Dale
- Center for Multimodal Imaging and Genetics, University of California, San Diego, San Diego, United States.,Department of Radiology, University of California, San Diego, San Diego, United States.,Department of Neurosciences, University of California, San Diego, San Diego, United States
| | - Udo Dannlowski
- Department of Psychiatry and Psychotherapy, University of Muenster, Muenster, Germany
| | - Annemiek Dols
- Department of Psychiatry, Amsterdam UMC, location VUmc, GGZinGeest, Old Age Psychiatry, Amsterdam Neuroscience, Amsterdam, Netherlands
| | - Verena Enneking
- Department of Psychiatry and Psychotherapy, University of Muenster, Muenster, Germany
| | - Randall Espinoza
- Department of Neurology, University of California, Los Angeles, Los Angeles, United States.,Department of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles, Los Angeles, United States
| | - Ute Kessler
- Department of Clinical Medicine, University of Bergen, Bergen, Norway.,Division of Psychiatry, Haukeland University Hospital, University of Bergen, Bergen, Norway
| | - Katherine L Narr
- Department of Neurology, University of California, Los Angeles, Los Angeles, United States.,Department of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles, Los Angeles, United States
| | - Ketil J Oedegaard
- Department of Clinical Medicine, University of Bergen, Bergen, Norway.,Division of Psychiatry, Haukeland University Hospital, University of Bergen, Bergen, Norway
| | - Mardien L Oudega
- Department of Psychiatry, Amsterdam UMC, location VUmc, GGZinGeest, Old Age Psychiatry, Amsterdam Neuroscience, Amsterdam, Netherlands
| | - Ronny Redlich
- Department of Psychiatry and Psychotherapy, University of Muenster, Muenster, Germany
| | - Max L Stek
- Department of Psychiatry, Amsterdam UMC, location VUmc, GGZinGeest, Old Age Psychiatry, Amsterdam Neuroscience, Amsterdam, Netherlands
| | - Akihiro Takamiya
- Department of Neuropsychiatry, Keio University School of Medicine, Tokyo, Japan.,Center for Psychiatry and Behavioral Science, Komagino Hospital, Tokyo, Japan
| | - Louise Emsell
- Department of Geriatric Psychiatry, University Psychiatric Center, KU Leuven, Leuven, Belgium
| | - Filip Bouckaert
- Department of Geriatric Psychiatry, University Psychiatric Center, KU Leuven, Leuven, Belgium.,Academic center for ECT and Neurostimulation (AcCENT), University Psychiatric Center, KU Leuven, Kortenberg, Belgium
| | - Pascal Sienaert
- Academic center for ECT and Neurostimulation (AcCENT), University Psychiatric Center, KU Leuven, Kortenberg, Belgium
| | - Jesus Pujol
- CIBERSAM, Carlos III Health Institute, Barcelona, Spain.,MRI Research Unit, Department of Radiology, Hospital del Mar, Barcelona, Spain
| | - Indira Tendolkar
- Department of Psychiatry, Radboud University Medical Center, Nijmegen, Netherlands.,Donders Institute for Brain Cognition and Behavior, Centre for Cognitive Neuroimaging, Nijmegen, Netherlands.,Faculty of Medicine and LVR Clinic for Psychiatry and Psychotherapy, University of Duisburg-Essen, Essen, Germany
| | - Philip van Eijndhoven
- Department of Psychiatry, Radboud University Medical Center, Nijmegen, Netherlands.,Donders Institute for Brain Cognition and Behavior, Centre for Cognitive Neuroimaging, Nijmegen, Netherlands
| | - Georgios Petrides
- Department of Psychiatry, The Zucker Hillside Hospital, Glen Oaks, United States.,Center for Neuroscience, Feinstein Institute for Medical Research, Manhasset, United States.,Department of Psychiatry, Zucker School of Medicine, Hempstead, United States
| | - Anil K Malhotra
- Department of Psychiatry, The Zucker Hillside Hospital, Glen Oaks, United States.,Center for Neuroscience, Feinstein Institute for Medical Research, Manhasset, United States.,Department of Psychiatry, Zucker School of Medicine, Hempstead, United States
| | - Christopher Abbott
- Department of Psychiatry, University of New Mexico School of Medicine, Albuquerque, United States
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41
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McMullen DP, Lisanby SH. Better, Faster, Safer: Exploring Biomarkers of Response to Transform Electroconvulsive Therapy. Biol Psychiatry 2019; 85:439-440. [PMID: 30777169 DOI: 10.1016/j.biopsych.2019.01.009] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/10/2019] [Accepted: 01/10/2019] [Indexed: 01/07/2023]
Affiliation(s)
- David P McMullen
- National Institute of Mental Health, National Institutes of Health, Bethesda, Maryland
| | - Sarah H Lisanby
- National Institute of Mental Health, National Institutes of Health, Bethesda, Maryland.
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