1
|
Wang H, Zhao Q, Zhang Y, Ma J, Lei M, Zhang Z, Xue H, Liu J, Sun Z, Xu J, Zhai Y, Wang Y, Cai M, Zhu W, Liu F. Shared genetic architecture of cortical thickness alterations in major depressive disorder and schizophrenia. Prog Neuropsychopharmacol Biol Psychiatry 2024; 135:111121. [PMID: 39154931 DOI: 10.1016/j.pnpbp.2024.111121] [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] [Received: 05/28/2024] [Revised: 07/29/2024] [Accepted: 08/15/2024] [Indexed: 08/20/2024]
Abstract
BACKGROUND Major depressive disorder (MDD) and schizophrenia (SCZ) are heritable brain disorders characterized by alterations in cortical thickness. However, the shared genetic basis for cortical thickness changes in these disorders remains unclear. METHODS We conducted a systematic literature search on cortical thickness in MDD and SCZ through PubMed and Web of Science. A coordinate-based meta-analysis was performed to identify cortical thickness changes. Additionally, utilizing summary statistics from the largest genome-wide association studies for depression (Ncase = 268,615, Ncontrol = 667,123) and SCZ (Ncase = 53,386, Ncontrol = 77,258), we explored shared genomic loci using conjunctional false discovery rate (conjFDR) analysis. Transcriptome-neuroimaging association analysis was then employed to identify shared genes associated with cortical thickness alterations, and enrichment analysis was finally carried out to elucidate the biological significance of these genes. RESULTS Our search yielded 34 MDD (Ncase = 1621, Ncontrol = 1507) and 19 SCZ (Ncase = 1170, Ncontrol = 1043) neuroimaging studies for cortical thickness meta-analysis. Specific alterations in the left supplementary motor area were observed in MDD, while SCZ exhibited widespread reductions in various brain regions, particularly in the frontal and temporal areas. The conjFDR approach identified 357 genomic loci jointly associated with MDD and SCZ. Within these loci, 55 genes were found to be associated with cortical thickness alterations in both disorders. Enrichment analysis revealed their involvement in nervous system development, apoptosis, and cell communication. CONCLUSION This study revealed the shared genetic architecture underlying cortical thickness alterations in MDD and SCZ, providing insights into common neurobiological pathways. The identified genes and pathways may serve as potential transdiagnostic markers, informing precision medicine approaches in psychiatric care.
Collapse
Affiliation(s)
- He Wang
- Department of Radiology, Tianjin Key Laboratory of Functional Imaging & Tianjin Institute of Radiology, Tianjin Medical University General Hospital, Tianjin 300052, China
| | - Qiyu Zhao
- Department of Radiology, Tianjin Key Laboratory of Functional Imaging & Tianjin Institute of Radiology, Tianjin Medical University General Hospital, Tianjin 300052, China
| | - Yijing Zhang
- Department of Radiology, Tianjin Key Laboratory of Functional Imaging & Tianjin Institute of Radiology, Tianjin Medical University General Hospital, Tianjin 300052, China
| | - Juanwei Ma
- Department of Radiology, Tianjin Key Laboratory of Functional Imaging & Tianjin Institute of Radiology, Tianjin Medical University General Hospital, Tianjin 300052, China
| | - Minghuan Lei
- Department of Radiology, Tianjin Key Laboratory of Functional Imaging & Tianjin Institute of Radiology, Tianjin Medical University General Hospital, Tianjin 300052, China
| | - Zhihui Zhang
- Department of Radiology, Tianjin Key Laboratory of Functional Imaging & Tianjin Institute of Radiology, Tianjin Medical University General Hospital, Tianjin 300052, China
| | - Hui Xue
- Department of Radiology, Tianjin Key Laboratory of Functional Imaging & Tianjin Institute of Radiology, Tianjin Medical University General Hospital, Tianjin 300052, China
| | - Jiawei Liu
- Department of Radiology, Tianjin Key Laboratory of Functional Imaging & Tianjin Institute of Radiology, Tianjin Medical University General Hospital, Tianjin 300052, China
| | - Zuhao Sun
- Department of Radiology, Tianjin Key Laboratory of Functional Imaging & Tianjin Institute of Radiology, Tianjin Medical University General Hospital, Tianjin 300052, China
| | - Jinglei Xu
- Department of Radiology, Tianjin Key Laboratory of Functional Imaging & Tianjin Institute of Radiology, Tianjin Medical University General Hospital, Tianjin 300052, China
| | - Ying Zhai
- Department of Radiology, Tianjin Key Laboratory of Functional Imaging & Tianjin Institute of Radiology, Tianjin Medical University General Hospital, Tianjin 300052, China
| | - Ying Wang
- Department of Radiology, Tianjin Key Laboratory of Functional Imaging & Tianjin Institute of Radiology, Tianjin Medical University General Hospital, Tianjin 300052, China
| | - Mengjing Cai
- Department of Radiology, Tianjin Key Laboratory of Functional Imaging & Tianjin Institute of Radiology, Tianjin Medical University General Hospital, Tianjin 300052, China; Department of Medical Imaging, Henan Provincial People's Hospital & Zhengzhou University People's Hospital, Zhengzhou 450000, China.
| | - Wenshuang Zhu
- Department of Radiology, Tianjin Key Laboratory of Functional Imaging & Tianjin Institute of Radiology, Tianjin Medical University General Hospital, Tianjin 300052, China; Department of Radiology, Beijing Tiantan Hospital, Capital Medical University, Beijing 100070, China.
| | - Feng Liu
- Department of Radiology, Tianjin Key Laboratory of Functional Imaging & Tianjin Institute of Radiology, Tianjin Medical University General Hospital, Tianjin 300052, China.
| |
Collapse
|
2
|
Long Z, Li J, Marino M. Brain structural changes underlying clinical symptom improvement following fast-acting treatments in treatment resistant depression. J Affect Disord 2024; 369:52-60. [PMID: 39326585 DOI: 10.1016/j.jad.2024.09.150] [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: 06/19/2024] [Revised: 09/17/2024] [Accepted: 09/21/2024] [Indexed: 09/28/2024]
Abstract
BACKGROUND Electroconvulsive therapy (ECT), ketamine infusion (KI), and total sleep deprivation (TSD) are effective and fast in treating patients with treatment-resistant depression (TRD). However, it remains unclear whether the three treatments have the same effect on clinical symptom improvement and have common brain structural mechanisms. METHODS The current study included 127 TRD patients and 37 healthy controls, which were obtained from the Perturbation of the Treatment Resistant Depression Connectome Project. We aimed to investigate the shared and distinct brain structural changes underlying clinical symptom improvement among ECT, KI, and TSD treatments. RESULTS All of the three treatments significantly reduced the depressive symptoms in TRD patients, but they differently affected other clinical measurements. Neuroimaging results also revealed that all of ECT, KI, and TSD treatments significantly increased gray matter volume of left caudate after treatment in TRD patients. However, the gray matter volume of other brain regions including hippocampus, parahippocampus, amygdala, insula, fusiform gyrus, several occipital and temporal areas was increased only after ECT treatment. Still, the baseline or the change of gray matter volume did not correlate with the depressive symptom improvement for all of the three treatments. LIMITATIONS A higher sample size would be required to further validate our findings. CONCLUSIONS The results observed in the current study suggested that the ECT, KI, and TSD treatments differently affected clinical measurements and brain structures in TRD patients, though all of them were effective in depressive symptom improvement, which might facilitate the development of personalized treatment protocol for this disease.
Collapse
Affiliation(s)
- Zhiliang Long
- Sleep and NeuroImaging Center, Faculty of Psychology, Southwest University, Chongqing, PR China.
| | - Jiao Li
- Clinical Hospital of Chengdu Brain Science Institute, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, PR China; MOE Key Laboratory for Neuroinformation, High-Field Magnetic Resonance Brain Imaging Key Laboratory of Sichuan Province, University of Electronic Science and Technology of China, Chengdu, PR China
| | - Marco Marino
- Department of General Psychology, University of Padua, Italy; Movement Control and Neuroplasticity Research Group, KU Leuven, Leuven, Belgium
| |
Collapse
|
3
|
Macoveanu J, Craciun S, Ketterer-Sykes EB, Ysbæk-Nielsen AT, Zarp J, Kessing LV, Jørgensen MB, Miskowiak KW. Amygdala and hippocampal substructure volumes and their association with improvement in mood symptoms in patients with mood disorders undergoing electroconvulsive therapy. Psychiatry Res Neuroimaging 2024; 343:111859. [PMID: 38986265 DOI: 10.1016/j.pscychresns.2024.111859] [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] [Received: 10/04/2023] [Revised: 07/05/2024] [Accepted: 07/05/2024] [Indexed: 07/12/2024]
Abstract
Electroconvulsive therapy (ECT) demonstrates favorable outcomes in the management of severe depressive disorders. ECT has been consistently associated with volumetric increases in the amygdala and hippocampus. However, the underlying mechanisms of these structural changes and their association to clinical improvement remains unclear. In this cross-sectional structural MRI study, we assessed the difference in amygdala subnuclei and hippocampus subfields in n = 37 patients with either unipolar or bipolar disorder immediately after eighth ECT sessions compared to (n = 40) demographically matched patients in partial remission who did not receive ECT (NoECT group). Relative to NoECT, the ECT group showed significantly larger bilateral amygdala volumes post-treatment, with the effect originating from the lateral, basal, and paralaminar nuclei and the left corticoamydaloid transition area. No significant group differences were observed for the hippocampal or cortical volumes. ECT was associated with a significant decrease in depressive symptoms. However, there were no significant correlations between amygdala subnuclei volumes and symptom improvement. Our study corroborates previous reports on increased amygdalae volumes following ECT and further identifies the subnuclei driving this effect. However, the therapeutic effect of ECT does not seem to be directly related to structural changes in the amygdala.
Collapse
Affiliation(s)
- Julian Macoveanu
- Copenhagen Affective Disorder Research Centre (CADIC), Psychiatric Centre Copenhagen, Frederiksberg Hospital, Copenhagen, Denmark; Neurocogntion and Emotion in Affective Disorders (NEAD) Centre, Psychiatric Centre Copenhagen, and Department of Psychology, University of Copenhagen, Copenhagen, Denmark.
| | - Sabina Craciun
- DIS Copenhagen, Copenhagen, Denmark; Dickinson College, Carlisle, PA, USA
| | | | - Alexander Tobias Ysbæk-Nielsen
- Copenhagen Affective Disorder Research Centre (CADIC), Psychiatric Centre Copenhagen, Frederiksberg Hospital, Copenhagen, Denmark; Neurocogntion and Emotion in Affective Disorders (NEAD) Centre, Psychiatric Centre Copenhagen, and Department of Psychology, University of Copenhagen, Copenhagen, Denmark
| | - Jeff Zarp
- Copenhagen Affective Disorder Research Centre (CADIC), Psychiatric Centre Copenhagen, Frederiksberg Hospital, Copenhagen, Denmark; Neurocogntion and Emotion in Affective Disorders (NEAD) Centre, Psychiatric Centre Copenhagen, and Department of Psychology, University of Copenhagen, Copenhagen, Denmark
| | - Lars Vedel Kessing
- Copenhagen Affective Disorder Research Centre (CADIC), Psychiatric Centre Copenhagen, Frederiksberg Hospital, Copenhagen, Denmark; Department of Clinical Medicine, Faculty of Health and Medical Science, University of Copenhagen, Denmark
| | - Martin Balslev Jørgensen
- Copenhagen Affective Disorder Research Centre (CADIC), Psychiatric Centre Copenhagen, Frederiksberg Hospital, Copenhagen, Denmark; Department of Clinical Medicine, Faculty of Health and Medical Science, University of Copenhagen, Denmark
| | - Kamilla Woznica Miskowiak
- Copenhagen Affective Disorder Research Centre (CADIC), Psychiatric Centre Copenhagen, Frederiksberg Hospital, Copenhagen, Denmark; Neurocogntion and Emotion in Affective Disorders (NEAD) Centre, Psychiatric Centre Copenhagen, and Department of Psychology, University of Copenhagen, Copenhagen, Denmark
| |
Collapse
|
4
|
Sheng W, Cui Q, Guo Y, Tang Q, Fan YS, Wang C, Guo J, Lu F, He Z, Chen H. Cortical thickness reductions associate with brain network architecture in major depressive disorder. J Affect Disord 2024; 347:175-182. [PMID: 38000466 DOI: 10.1016/j.jad.2023.11.037] [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] [Received: 02/01/2023] [Revised: 10/25/2023] [Accepted: 11/13/2023] [Indexed: 11/26/2023]
Abstract
BACKGROUND Cortical thickness reductions in major depressive disorder are distributed across multiple regions. Research has indicated that cortical atrophy is influenced by connectome architecture on a range of neurological and psychiatric diseases. However, whether connectome architecture contributes to changes in cortical thickness in the same manner as it does in depression is unclear. This study aims to explain the distribution of cortical thickness reductions across the cortex in depression by brain connectome architecture. METHODS Here, we calculated a differential map of cortical thickness between 110 depression patients and 88 age-, gender-, and education level-matched healthy controls by using T1-weighted images and a structural network reconstructed through the diffusion tensor imaging of control group. We then used a neighborhood deformation model to explore how cortical thickness change in an area is influenced by areas structurally connected to it. RESULTS We found that cortical thickness in the frontoparietal and default networks decreased in depression, regional cortical thickness changes were related to reductions in their neighbors and were mainly limited by the frontoparietal and default networks, and the epicenter was in the prefrontal lobe. CONCLUSION Current findings suggest that connectome architecture contributes to the irregular topographic distribution of cortical thickness reductions in depression and cortical atrophy is restricted by and dependent on structural foundation.
Collapse
Affiliation(s)
- Wei Sheng
- The Clinical Hospital of Chengdu Brain Science Institute, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, China
| | - Qian Cui
- School of Public Affairs and Administration, University of Electronic Science and Technology of China, Chengdu, China.
| | - YuanHong Guo
- The Clinical Hospital of Chengdu Brain Science Institute, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, China
| | - Qin Tang
- The Clinical Hospital of Chengdu Brain Science Institute, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, China
| | - Yun-Shuang Fan
- The Clinical Hospital of Chengdu Brain Science Institute, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, China
| | - Chong Wang
- The Clinical Hospital of Chengdu Brain Science Institute, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, China
| | - Jing Guo
- The Clinical Hospital of Chengdu Brain Science Institute, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, China
| | - Fengmei Lu
- The Clinical Hospital of Chengdu Brain Science Institute, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, China
| | - Zongling He
- The Clinical Hospital of Chengdu Brain Science Institute, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, China
| | - Huafu Chen
- The Clinical Hospital of Chengdu Brain Science Institute, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, China; MOE Key Lab for Neuroinformation, HighField Magnetic Resonance Brain Imaging Key Laboratory of Sichuan Province, University of Electronic Science and Technology of China, Chengdu, China.
| |
Collapse
|
5
|
Toffanin T, Cattarinussi G, Ghiotto N, Lussignoli M, Pavan C, Pieri L, Schiff S, Finatti F, Romagnolo F, Folesani F, Nanni MG, Caruso R, Zerbinati L, Belvederi Murri M, Ferrara M, Pigato G, Grassi L, Sambataro F. Effects of electroconvulsive therapy on cortical thickness in depression: a systematic review. Acta Neuropsychiatr 2024:1-15. [PMID: 38343196 DOI: 10.1017/neu.2024.6] [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: 03/14/2024]
Abstract
OBJECTIVE Electroconvulsive therapy (ECT) is one of the most studied and validated available treatments for severe or treatment-resistant depression. However, little is known about the neural mechanisms underlying ECT. This systematic review aims to critically review all structural magnetic resonance imaging studies investigating longitudinal cortical thickness (CT) changes after ECT in patients with unipolar or bipolar depression. METHODS We performed a search on PubMed, Medline, and Embase to identify all available studies published before April 20, 2023. A total of 10 studies were included. RESULTS The investigations showed widespread increases in CT after ECT in depressed patients, involving mainly the temporal, insular, and frontal regions. In five studies, CT increases in a non-overlapping set of brain areas correlated with the clinical efficacy of ECT. The small sample size, heterogeneity in terms of populations, comorbidities, and ECT protocols, and the lack of a control group in some investigations limit the generalisability of the results. CONCLUSIONS Our findings support the idea that ECT can increase CT in patients with unipolar and bipolar depression. It remains unclear whether these changes are related to the clinical response. Future larger studies with longer follow-up are warranted to thoroughly address the potential role of CT as a biomarker of clinical response after ECT.
Collapse
Affiliation(s)
- Tommaso Toffanin
- Department of Neuroscience and Rehabilitation, Institute of Psychiatry, University of Ferrara, Ferrara, Italy
| | - Giulia Cattarinussi
- Department of Neuroscience (DNS), University of Padova, Padua, Italy
- Padova Neuroscience Center, University of Padova, Padua, Italy
- Department of Psychological Medicine, Institute of Psychiatry, Psychology and Neuroscience, Kings College London, London, UK
| | - Niccolò Ghiotto
- Department of Neuroscience (DNS), University of Padova, Padua, Italy
| | | | - Chiara Pavan
- Department of Neuroscience (DNS), University of Padova, Padua, Italy
| | - Luca Pieri
- Department of Medicine, University of Padova, Padua, Italy
| | - Sami Schiff
- Department of Medicine, University of Padova, Padua, Italy
| | - Francesco Finatti
- Department of Neuroscience (DNS), University of Padova, Padua, Italy
| | - Francesca Romagnolo
- Department of Neuroscience and Rehabilitation, Institute of Psychiatry, University of Ferrara, Ferrara, Italy
| | - Federica Folesani
- Department of Neuroscience and Rehabilitation, Institute of Psychiatry, University of Ferrara, Ferrara, Italy
| | - Maria Giulia Nanni
- Department of Neuroscience and Rehabilitation, Institute of Psychiatry, University of Ferrara, Ferrara, Italy
| | - Rosangela Caruso
- Department of Neuroscience and Rehabilitation, Institute of Psychiatry, University of Ferrara, Ferrara, Italy
| | - Luigi Zerbinati
- Department of Neuroscience and Rehabilitation, Institute of Psychiatry, University of Ferrara, Ferrara, Italy
| | - Martino Belvederi Murri
- Department of Neuroscience and Rehabilitation, Institute of Psychiatry, University of Ferrara, Ferrara, Italy
| | - Maria Ferrara
- Department of Neuroscience and Rehabilitation, Institute of Psychiatry, University of Ferrara, Ferrara, Italy
| | - Giorgio Pigato
- Department of Psychiatry, Padova University Hospital, Padua, Italy
| | - Luigi Grassi
- Department of Neuroscience and Rehabilitation, Institute of Psychiatry, University of Ferrara, Ferrara, Italy
| | - Fabio Sambataro
- Department of Neuroscience (DNS), University of Padova, Padua, Italy
- Padova Neuroscience Center, University of Padova, Padua, Italy
| |
Collapse
|
6
|
Belge JB, Mulders P, Van Diermen L, Sienaert P, Sabbe B, Abbott CC, Tendolkar I, Schrijvers D, van Eijndhoven P. Reviewing the neurobiology of electroconvulsive therapy on a micro- meso- and macro-level. Prog Neuropsychopharmacol Biol Psychiatry 2023; 127:110809. [PMID: 37331685 DOI: 10.1016/j.pnpbp.2023.110809] [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] [Received: 01/22/2023] [Revised: 05/27/2023] [Accepted: 06/07/2023] [Indexed: 06/20/2023]
Abstract
BACKGROUND Electroconvulsive therapy (ECT) remains the one of the most effective of biological antidepressant interventions. However, the exact neurobiological mechanisms underlying the efficacy of ECT remain unclear. A gap in the literature is the lack of multimodal research that attempts to integrate findings at different biological levels of analysis METHODS: We searched the PubMed database for relevant studies. We review biological studies of ECT in depression on a micro- (molecular), meso- (structural) and macro- (network) level. RESULTS ECT impacts both peripheral and central inflammatory processes, triggers neuroplastic mechanisms and modulates large scale neural network connectivity. CONCLUSIONS Integrating this vast body of existing evidence, we are tempted to speculate that ECT may have neuroplastic effects resulting in the modulation of connectivity between and among specific large-scale networks that are altered in depression. These effects could be mediated by the immunomodulatory properties of the treatment. A better understanding of the complex interactions between the micro-, meso- and macro- level might further specify the mechanisms of action of ECT.
Collapse
Affiliation(s)
- Jean-Baptiste Belge
- Department of Psychiatry, Collaborative Antwerp Psychiatric Research Institute (CAPRI), Faculty of Medicine and Health Sciences, University of Antwerp, Antwerp, Belgium; Department of Psychiatry, Radboud University Medical Centre, P.O. Box 9101, 6500 HB Nijmegen, The Netherlands.
| | - Peter Mulders
- Department of Psychiatry, Radboud University Medical Centre, P.O. Box 9101, 6500 HB Nijmegen, The Netherlands; Donders Institute for Brain, Cognition and Behavior, Centre for Neuroscience, P.O. Box 9010, 6500 GL Nijmegen, The Netherlands
| | - Linda Van Diermen
- Department of Psychiatry, Collaborative Antwerp Psychiatric Research Institute (CAPRI), Faculty of Medicine and Health Sciences, University of Antwerp, Antwerp, Belgium; Psychiatric Center Bethanië, Andreas Vesaliuslaan 39, Zoersel 2980, Belgium
| | - Pascal Sienaert
- KU Leuven - University of Leuven, University Psychiatric Center KU Leuven, Academic Center for ECT and Neuromodulation (AcCENT), Leuvensesteenweg 517, Kortenberg 3010, Belgium
| | - Bernard Sabbe
- Department of Psychiatry, Collaborative Antwerp Psychiatric Research Institute (CAPRI), Faculty of Medicine and Health Sciences, University of Antwerp, Antwerp, Belgium
| | | | - Indira Tendolkar
- Department of Psychiatry, Radboud University Medical Centre, P.O. Box 9101, 6500 HB Nijmegen, The Netherlands; Donders Institute for Brain, Cognition and Behavior, Centre for Neuroscience, P.O. Box 9010, 6500 GL Nijmegen, The Netherlands
| | - Didier Schrijvers
- Department of Psychiatry, Collaborative Antwerp Psychiatric Research Institute (CAPRI), Faculty of Medicine and Health Sciences, University of Antwerp, Antwerp, Belgium; Department of Psychiatry, University Psychiatric Center Duffel, Stationstraat 22, Duffel 2570, Belgium
| | - Philip van Eijndhoven
- Department of Psychiatry, Radboud University Medical Centre, P.O. Box 9101, 6500 HB Nijmegen, The Netherlands; Donders Institute for Brain, Cognition and Behavior, Centre for Neuroscience, P.O. Box 9010, 6500 GL Nijmegen, The Netherlands
| |
Collapse
|
7
|
Bashford-Largo J, R Blair RJ, Blair KS, Dobbertin M, Dominguez A, Hatch M, Bajaj S. Identification of structural brain alterations in adolescents with depressive symptomatology. Brain Res Bull 2023; 201:110723. [PMID: 37536609 PMCID: PMC10451038 DOI: 10.1016/j.brainresbull.2023.110723] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/23/2023] [Revised: 07/10/2023] [Accepted: 07/28/2023] [Indexed: 08/05/2023]
Abstract
INTRODUCTION Depressive symptoms can emerge as early as childhood and may lead to adverse situations in adulthood. Studies have examined structural brain alternations in individuals with depressive symptoms, but findings remain inconclusive. Furthermore, previous studies have focused on adults or used a categorical approach to assess depression. The current study looks to identify grey matter volumes (GMV) that predict depressive symptomatology across a clinically concerning sample of adolescents. METHODS Structural MRI data were collected from 338 clinically concerning adolescents (mean age = 15.30 SD=2.07; mean IQ = 101.01 SD=12.43; 132 F). Depression symptoms were indexed via the Mood and Feelings Questionnaire (MFQ). Freesurfer was used to parcellate the brain into 68 cortical regions and 14 subcortical regions. GMV was extracted from all 82 brain areas. Multiple linear regression was used to look at the relationship between MFQ scores and region-specific GMV parameter. Follow up regressions were conducted to look at potential effects of psychiatric diagnoses and medication intake. RESULTS Our regression analysis produced a significant model (R2 = 0.446, F(86, 251) = 2.348, p < 0.001). Specifically, there was a negative association between GMV of the left parahippocampal (B = -0.203, p = 0.005), right rostral anterior cingulate (B = -0.162, p = 0.049), and right frontal pole (B = -0.147, p = 0.039) and a positive association between GMV of the left bank of the superior temporal sulcus (B = 0.173, p = 0.029). Follow up analyses produced results proximal to the main analysis. CONCLUSIONS Altered regional brain volumes may serve as biomarkers for the development of depressive symptoms during adolescence. These findings suggest a homogeneity of altered cortical structures in adolescents with depressive symptoms.
Collapse
Affiliation(s)
- Johannah Bashford-Largo
- Multimodal Clinical Neuroimaging Laboratory (MCNL), Center for Neurobehavioral Research, Boys Town National Research Hospital, Boys Town, NE, USA; Center for Brain, Biology, and Behavior, University of Nebraska-Lincoln, Lincoln, NE, USA.
| | - R James R Blair
- Child and Adolescent Mental Health Centre, Mental Health Services, Capital Region of Denmark, Copenhagen, Denmark
| | - Karina S Blair
- Multimodal Clinical Neuroimaging Laboratory (MCNL), Center for Neurobehavioral Research, Boys Town National Research Hospital, Boys Town, NE, USA
| | - Matthew Dobbertin
- Multimodal Clinical Neuroimaging Laboratory (MCNL), Center for Neurobehavioral Research, Boys Town National Research Hospital, Boys Town, NE, USA; Child and Adolescent Inpatient Psychiatric Unit, Boys Town National Research Hospital, Boys Town, NE, USA
| | - Ahria Dominguez
- Multimodal Clinical Neuroimaging Laboratory (MCNL), Center for Neurobehavioral Research, Boys Town National Research Hospital, Boys Town, NE, USA
| | - Melissa Hatch
- Multimodal Clinical Neuroimaging Laboratory (MCNL), Center for Neurobehavioral Research, Boys Town National Research Hospital, Boys Town, NE, USA
| | - Sahil Bajaj
- The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| |
Collapse
|
8
|
Li J, Wang R, Mao N, Huang M, Qiu S, Wang J. Multimodal and multiscale evidence for network-based cortical thinning in major depressive disorder. Neuroimage 2023; 277:120265. [PMID: 37414234 DOI: 10.1016/j.neuroimage.2023.120265] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2023] [Revised: 05/26/2023] [Accepted: 07/03/2023] [Indexed: 07/08/2023] Open
Abstract
BACKGROUND Major depressive disorder (MDD) is associated with widespread, irregular cortical thickness (CT) reductions across the brain. However, little is known regarding mechanisms that govern spatial distribution of the reductions. METHODS We combined multimodal MRI and genetic, cytoarchitectonic and chemoarchitectonic data to examine structural covariance, functional synchronization, gene co-expression, cytoarchitectonic similarity and chemoarchitectonic covariance between regions atrophied in MDD. RESULTS Regions atrophied in MDD were associated with significantly higher structural covariance, functional synchronization, gene co-expression and chemoarchitectonic covariance. These results were robust against methodological variations in brain parcellation and null model, reproducible in patients and controls, and independent of age at onset of MDD. Despite no significant differences in the cytoarchitectonic similarity, MDD-related CT reductions were susceptible to specific cytoarchitectonic class of association cortex. Further, we found that nodal shortest path lengths to disease epicenters derived from structural (right supramarginal gyrus) and chemoarchitectonic covariance (right sulcus intermedius primus) networks of healthy brains were correlated with the extent to which a region was atrophied in MDD, supporting the transneuronal spread hypothesis that regions closer to the epicenters are more susceptible to MDD. Finally, we showed that structural covariance and functional synchronization among regions atrophied in MDD were mainly related to genes enriched in metabolic and membrane-related processes, driven by genes in excitatory neurons, and associated with specific neurotransmitter transporters and receptors. CONCLUSIONS Altogether, our findings provide empirical evidence for and genetic and molecular insights into connectivity-constrained CT thinning in MDD.
Collapse
Affiliation(s)
- Junle Li
- Institute for Brain Research and Rehabilitation, South China Normal University, Guangzhou, China
| | - Rui Wang
- Institute for Brain Research and Rehabilitation, South China Normal University, Guangzhou, China
| | - Ning Mao
- Department of Radiology, Yantai Yuhuangding Hospital, Qingdao University, Yantai, China
| | - Manli Huang
- Department of Psychiatry, First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, China; The Key Laboratory of Mental Disorder's Management of Zhejiang Province, Hangzhou, China
| | - Shijun Qiu
- Department of Radiology, The First Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangdong, China
| | - Jinhui Wang
- Institute for Brain Research and Rehabilitation, South China Normal University, Guangzhou, China; Key Laboratory of Brain, Cognition and Education Sciences, Ministry of Education, China; Center for Studies of Psychological Application, South China Normal University, Guangzhou, China; Guangdong Key Laboratory of Mental Health and Cognitive Science, South China Normal University, Guangzhou, China.
| |
Collapse
|
9
|
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.
Collapse
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
| |
Collapse
|
10
|
Ji GJ, Li J, Liao W, Wang Y, Zhang L, Bai T, Zhang T, Xie W, He K, Zhu C, Dukart J, Baeken C, Tian Y, Wang K. Neuroplasticity-Related Genes and Dopamine Receptors Associated with Regional Cortical Thickness Increase Following Electroconvulsive Therapy for Major Depressive Disorder. Mol Neurobiol 2023; 60:1465-1475. [PMID: 36469225 DOI: 10.1007/s12035-022-03132-7] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/26/2022] [Accepted: 11/08/2022] [Indexed: 12/08/2022]
Abstract
Electroconvulsive therapy (ECT) is an effective neuromodulatory therapy for major depressive disorder (MDD). Treatment is associated with regional changes in brain structure and function, indicating activation of neuroplastic processes. To investigate the underlying neurobiological mechanism of macroscopic reorganization following ECT, we longitudinally (before and after ECT in two centers) collected magnetic resonance images for 96 MDD patients. Similar patterns of cortical thickness (CT) changes following ECT were observed in two centers. These CT changes were spatially colocalized with a weighted combination of genes enriched for neuroplasticity-related ontology terms and pathways (e.g., synaptic pruning) as well as with a higher density of D2/3 dopamine receptors. A multiple linear regression model indicated that the region-specific gene expression and receptor density patterns explained 40% of the variance in CT changes after ECT. In conclusion, these findings suggested that dopamine signaling and neuroplasticity-related genes are associated with the ECT-induced morphological reorganization.
Collapse
Affiliation(s)
- Gong-Jun Ji
- Department of Neurology, The First Affiliated Hospital of Anhui Medical University, The School of Mental Health and Psychological Sciences, Anhui Medical University, No. 81 Meishan Road, Shushan District, Hefei, 230032, China. .,Institute of Artificial Intelligence, Hefei Comprehensive National Science Center, Hefei, 230088, China. .,Anhui Province Key Laboratory of Cognition and Neuropsychiatric Disorders, Hefei, 230032, China. .,Collaborative Innovation Center of Neuropsychiatric Disorders and Mental Health, Anhui Province, Hefei, 230032, China.
| | - Jiao Li
- The Clinical Hospital of Chengdu Brain Science Institute, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, 610000, China.,MOE Key Lab for Neuroinformation, High-Field Magnetic Resonance Brain Imaging Key Laboratory of Sichuan Province, University of Electronic Science and Technology of China, Chengdu, 610000, China
| | - Wei Liao
- The Clinical Hospital of Chengdu Brain Science Institute, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, 610000, China.,MOE Key Lab for Neuroinformation, High-Field Magnetic Resonance Brain Imaging Key Laboratory of Sichuan Province, University of Electronic Science and Technology of China, Chengdu, 610000, China
| | - Yingru Wang
- Department of Neurology, The First Affiliated Hospital of Anhui Medical University, The School of Mental Health and Psychological Sciences, Anhui Medical University, No. 81 Meishan Road, Shushan District, Hefei, 230032, China.,Institute of Artificial Intelligence, Hefei Comprehensive National Science Center, Hefei, 230088, China.,Anhui Province Key Laboratory of Cognition and Neuropsychiatric Disorders, Hefei, 230032, China.,Collaborative Innovation Center of Neuropsychiatric Disorders and Mental Health, Anhui Province, Hefei, 230032, China
| | - Lei Zhang
- Department of Neurology, The First Affiliated Hospital of Anhui Medical University, The School of Mental Health and Psychological Sciences, Anhui Medical University, No. 81 Meishan Road, Shushan District, Hefei, 230032, China.,Anhui Province Key Laboratory of Cognition and Neuropsychiatric Disorders, Hefei, 230032, China.,Collaborative Innovation Center of Neuropsychiatric Disorders and Mental Health, Anhui Province, Hefei, 230032, China
| | - Tongjian Bai
- Department of Neurology, The First Affiliated Hospital of Anhui Medical University, The School of Mental Health and Psychological Sciences, Anhui Medical University, No. 81 Meishan Road, Shushan District, Hefei, 230032, China.,Institute of Artificial Intelligence, Hefei Comprehensive National Science Center, Hefei, 230088, China.,Anhui Province Key Laboratory of Cognition and Neuropsychiatric Disorders, Hefei, 230032, China.,Collaborative Innovation Center of Neuropsychiatric Disorders and Mental Health, Anhui Province, Hefei, 230032, China
| | - Ting Zhang
- Institute of Artificial Intelligence, Hefei Comprehensive National Science Center, Hefei, 230088, China.,Anhui Province Key Laboratory of Cognition and Neuropsychiatric Disorders, Hefei, 230032, China.,Collaborative Innovation Center of Neuropsychiatric Disorders and Mental Health, Anhui Province, Hefei, 230032, China.,Department of Psychiatry, The First Affiliated Hospital of Anhui Medical University, Hefei, China
| | - Wen Xie
- Department of Psychiatry, Anhui Mental Health Center, Hefei, 230022, China
| | - Kongliang He
- Department of Psychiatry, Anhui Mental Health Center, Hefei, 230022, China
| | - Chuyan Zhu
- Department of Neurology, The First Affiliated Hospital of Anhui Medical University, The School of Mental Health and Psychological Sciences, Anhui Medical University, No. 81 Meishan Road, Shushan District, Hefei, 230032, China.,Institute of Artificial Intelligence, Hefei Comprehensive National Science Center, Hefei, 230088, China.,Anhui Province Key Laboratory of Cognition and Neuropsychiatric Disorders, Hefei, 230032, China.,Collaborative Innovation Center of Neuropsychiatric Disorders and Mental Health, Anhui Province, Hefei, 230032, China
| | - Juergen Dukart
- Institute of Neuroscience and Medicine, Brain and Behaviour, Research Centre Jülich, INM-7), Jülich, Germany.,Institute of Systems Neuroscience, Medical Faculty, Heinrich Heine University Düsseldorf, 40210, Düsseldorf, Germany
| | - Chris Baeken
- Experimental Psychiatry Lab, Department of Head and Skin, Ghent University, Ghent, Belgium.,Department of Psychiatry, Free University Brussels, Brussels, Belgium.,Department of Electrical Engineering, Eindhoven University of Technology, Eindhoven, Netherlands
| | - Yanghua Tian
- Department of Neurology, The Second Affiliated Hospital of Anhui Medical University , Hefei, China.
| | - Kai Wang
- Department of Neurology, The First Affiliated Hospital of Anhui Medical University, The School of Mental Health and Psychological Sciences, Anhui Medical University, No. 81 Meishan Road, Shushan District, Hefei, 230032, China. .,Institute of Artificial Intelligence, Hefei Comprehensive National Science Center, Hefei, 230088, China. .,Anhui Province Key Laboratory of Cognition and Neuropsychiatric Disorders, Hefei, 230032, China. .,Collaborative Innovation Center of Neuropsychiatric Disorders and Mental Health, Anhui Province, Hefei, 230032, China. .,Anhui Institute of Translational Medicine, Hefei, China.
| |
Collapse
|
11
|
Grotzinger AD, Mallard TT, Liu Z, Seidlitz J, Ge T, Smoller JW. Multivariate genomic architecture of cortical thickness and surface area at multiple levels of analysis. Nat Commun 2023; 14:946. [PMID: 36806290 PMCID: PMC9941500 DOI: 10.1038/s41467-023-36605-x] [Citation(s) in RCA: 9] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/18/2022] [Accepted: 02/08/2023] [Indexed: 02/22/2023] Open
Abstract
Recent work in imaging genetics suggests high levels of genetic overlap within cortical regions for cortical thickness (CT) and surface area (SA). We model this multivariate system of genetic relationships by applying Genomic Structural Equation Modeling (Genomic SEM) and parsimoniously define five genomic brain factors underlying both CT and SA along with a general factor capturing genetic overlap across all brain regions. We validate these factors by demonstrating the generalizability of the model to a semi-independent sample and show that the factors align with biologically and functionally relevant parcellations of the cortex. We apply Stratified Genomic SEM to identify specific categories of genes (e.g., neuronal cell types) that are disproportionately associated with pleiotropy across specific subclusters of brain regions, as indexed by the genomic factors. Finally, we examine genetic associations with psychiatric and cognitive correlates, finding that broad aspects of cognitive function are associated with a general factor for SA and that psychiatric associations are null. These analyses provide key insights into the multivariate genomic architecture of two critical features of the cerebral cortex.
Collapse
Affiliation(s)
- Andrew D Grotzinger
- Institute for Behavioral Genetics, University of Colorado Boulder, Boulder, CO, USA.
- Department of Psychology and Neuroscience, University of Colorado Boulder, Boulder, CO, USA.
| | - Travis T Mallard
- Psychiatric and Neurodevelopmental Genetics Unit, Massachusetts General Hospital, Boston, MA, USA
- Center for Precision Psychiatry, Department of Psychiatry, Massachusetts General Hospital, Boston, MA, USA
- Stanley Center for Psychiatric Research, Broad Institute, Cambridge, MA, USA
| | - Zhaowen Liu
- Psychiatric and Neurodevelopmental Genetics Unit, Massachusetts General Hospital, Boston, MA, USA
- Center for Precision Psychiatry, Department of Psychiatry, Massachusetts General Hospital, Boston, MA, USA
- Stanley Center for Psychiatric Research, Broad Institute, Cambridge, MA, USA
| | - Jakob Seidlitz
- Department of Psychiatry, University of Pennsylvania, Philadelphia, PA, USA
- Department of Child and Adolescent Psychiatry and Behavioral Science, The Children's Hospital of Philadelphia, Philadelphia, PA, USA
| | - Tian Ge
- Psychiatric and Neurodevelopmental Genetics Unit, Massachusetts General Hospital, Boston, MA, USA
- Center for Precision Psychiatry, Department of Psychiatry, Massachusetts General Hospital, Boston, MA, USA
- Stanley Center for Psychiatric Research, Broad Institute, Cambridge, MA, USA
| | - Jordan W Smoller
- Psychiatric and Neurodevelopmental Genetics Unit, Massachusetts General Hospital, Boston, MA, USA
- Center for Precision Psychiatry, Department of Psychiatry, Massachusetts General Hospital, Boston, MA, USA
- Stanley Center for Psychiatric Research, Broad Institute, Cambridge, MA, USA
| |
Collapse
|
12
|
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.
Collapse
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
| |
Collapse
|
13
|
Ma H, Zhang D, Sun D, Wang H, Yang J. Gray and white matter structural examination for diagnosis of major depressive disorder and subthreshold depression in adolescents and young adults: a preliminary radiomics analysis. BMC Med Imaging 2022; 22:164. [PMID: 36096776 PMCID: PMC9465920 DOI: 10.1186/s12880-022-00892-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/24/2021] [Accepted: 09/06/2022] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Radiomics is an emerging image analysis framework that provides more details than conventional methods. In present study, we aimed to identify structural radiomics features of gray matter (GM) and white matter (WM), and to develop and validate the classification model for major depressive disorder (MDD) and subthreshold depression (StD) diagnosis using radiomics analysis. METHODS A consecutive cohort of 142 adolescents and young adults, including 43 cases with MDD, 49 cases with StD and 50 healthy controls (HC), were recruited and underwent the three-dimensional T1 weighted imaging (3D-T1WI) and diffusion tensor imaging (DTI). We extracted radiomics features representing the shape and diffusion properties of GM and WM from all participants. Then, an all-relevant feature selection process embedded in a 10-fold cross-validation framework was used to identify features with significant power for discrimination. Random forest classifiers (RFC) were established and evaluated successively using identified features. RESULTS The results showed that a total of 3030 features were extracted after preprocessing, including 2262 shape-related features from each T1-weighted image representing GM morphometry and 768 features from each DTI representing the diffusion properties of WM. 25 features were selected ultimately, including ten features for MDD versus HC, eight features for StD versus HC, and seven features for MDD versus StD. The accuracies and area under curve (AUC) the RFC achieved were 86.75%, 0.93 for distinguishing MDD from HC with significant radiomics features located in the left medial orbitofrontal cortex, right superior and middle temporal regions, right anterior cingulate, left cuneus and hippocampus, 70.51%, 0.69 for discriminating StD from HC within left cuneus, medial orbitofrontal cortex, cerebellar vermis, hippocampus, anterior cingulate and amygdala, right superior and middle temporal regions, and 59.15%, 0.66 for differentiating MDD from StD within left medial orbitofrontal cortex, middle temporal and cuneus, right superior frontal, superior temporal regions and hippocampus, anterior cingulate, respectively. CONCLUSION These findings provide preliminary evidence that radiomics features of brain structure are valid for discriminating MDD and StD subjects from healthy controls. The MRI-based radiomics approach, with further improvement and validation, might be a potential facilitating method to clinical diagnosis of MDD or StD.
Collapse
Affiliation(s)
- Huan Ma
- Department of Radiology, The Third Affiliated Hospital of Kunming Medical University, Kunming, 650018, China
- Department of Psychiatry, The Second Affiliated Hospital of Kunming Medical University, 374# DianMian Road, 650101, Kunming, China
| | - Dafu Zhang
- Department of Radiology, The Third Affiliated Hospital of Kunming Medical University, Kunming, 650018, China
- Department of Psychiatry, The First Affiliated Hospital of Kunming Medical University, 650018, Kunming, China
| | - Dewei Sun
- Department of Radiology, The Third Affiliated Hospital of Kunming Medical University, Kunming, 650018, China
| | - Hongbo Wang
- Department of Radiology, The Third Affiliated Hospital of Kunming Medical University, Kunming, 650018, China
| | - Jianzhong Yang
- Department of Psychiatry, The Second Affiliated Hospital of Kunming Medical University, 374# DianMian Road, 650101, Kunming, China.
| |
Collapse
|
14
|
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: 41] [Impact Index Per Article: 20.5] [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.
Collapse
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.
| |
Collapse
|
15
|
Li XK, Qiu HT. Current progress in neuroimaging research for the treatment of major depression with electroconvulsive therapy. World J Psychiatry 2022; 12:128-139. [PMID: 35111584 PMCID: PMC8783162 DOI: 10.5498/wjp.v12.i1.128] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/01/2021] [Revised: 06/20/2021] [Accepted: 09/06/2021] [Indexed: 02/06/2023] Open
Abstract
Electroconvulsive therapy (ECT) uses a certain amount of electric current to pass through the head of the patient, causing convulsions throughout the body, to relieve the symptoms of the disease and achieve the purpose of treatment. ECT can effectively improve the clinical symptoms of patients with major depression, but its therapeutic mechanism is still unclear. With the rapid development of neuroimaging technology, it is necessary to explore the neurobiological mechanism of major depression from the aspects of brain structure, brain function and brain metabolism, and to find that ECT can improve the brain function, metabolism and even brain structure of patients to a certain extent. Currently, an increasing number of neuroimaging studies adopt various neuroimaging techniques including functional magnetic resonance imaging (MRI), positron emission tomography, magnetic resonance spectroscopy, structural MRI, and diffusion tensor imaging to reveal the neural effects of ECT. This article reviews the recent progress in neuroimaging research on ECT for major depression. The results suggest that the neurobiological mechanism of ECT may be to modulate the functional activity and connectivity or neural structural plasticity in specific brain regions to the normal level, to achieve the therapeutic effect.
Collapse
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 400016, China
| |
Collapse
|
16
|
Xin Y, Bai T, Zhang T, Chen Y, Wang K, Yu S, Liu N, Tian Y. Electroconvulsive therapy modulates critical brain dynamics in major depressive disorder patients. Brain Stimul 2022; 15:214-225. [DOI: 10.1016/j.brs.2021.12.008] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/17/2021] [Revised: 12/03/2021] [Accepted: 12/20/2021] [Indexed: 01/04/2023] Open
|
17
|
Wade BSC, Hellemann G, Espinoza RT, Woods RP, Joshi SH, Redlich R, Dannlowski U, Jorgensen A, Abbott CC, Oltedal L, Narr KL. Accounting for symptom heterogeneity can improve neuroimaging models of antidepressant response after electroconvulsive therapy. Hum Brain Mapp 2021; 42:5322-5333. [PMID: 34390089 PMCID: PMC8519875 DOI: 10.1002/hbm.25620] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/01/2021] [Revised: 05/21/2021] [Accepted: 07/29/2021] [Indexed: 12/19/2022] Open
Abstract
Depression symptom heterogeneity limits the identifiability of treatment‐response biomarkers. Whether improvement along dimensions of depressive symptoms relates to separable neural networks remains poorly understood. We build on work describing three latent symptom dimensions within the 17‐item Hamilton Depression Rating Scale (HDRS) and use data‐driven methods to relate multivariate patterns of patient clinical, demographic, and brain structural changes over electroconvulsive therapy (ECT) to dimensional changes in depressive symptoms. We included 110 ECT patients from Global ECT‐MRI Research Collaboration (GEMRIC) sites who underwent structural MRI and HDRS assessments before and after treatment. Cross validated random forest regression models predicted change along symptom dimensions. HDRS symptoms clustered into dimensions of somatic disturbances (SoD), core mood and anhedonia (CMA), and insomnia. The coefficient of determination between predicted and actual changes were 22%, 39%, and 39% (all p < .01) for SoD, CMA, and insomnia, respectively. CMA and insomnia change were predicted more accurately than HDRS‐6 and HDRS‐17 changes (p < .05). Pretreatment symptoms, body‐mass index, and age were important predictors. Important imaging predictors included the right transverse temporal gyrus and left frontal pole for the SoD dimension; right transverse temporal gyrus and right rostral middle frontal gyrus for the CMA dimension; and right superior parietal lobule and left accumbens for the insomnia dimension. Our findings support that recovery along depressive symptom dimensions is predicted more accurately than HDRS total scores and are related to unique and overlapping patterns of clinical and demographic data and volumetric changes in brain regions related to depression and near ECT electrodes.
Collapse
Affiliation(s)
- Benjamin S C Wade
- Ahmanson-Lovelace Brain Mapping Center, Department of Neurology, UCLA, Los Angeles, California, USA
| | - Gerhard Hellemann
- Department of Psychiatry and Biobehavioral Sciences, David Geffen School of Medicine, UCLA, Los Angeles, California, USA
| | - Randall T Espinoza
- Department of Psychiatry and Biobehavioral Sciences, David Geffen School of Medicine, UCLA, Los Angeles, California, USA
| | - Roger P Woods
- Ahmanson-Lovelace Brain Mapping Center, Department of Neurology, UCLA, Los Angeles, California, USA.,Department of Psychiatry and Biobehavioral Sciences, David Geffen School of Medicine, UCLA, Los Angeles, California, USA
| | - Shantanu H Joshi
- Ahmanson-Lovelace Brain Mapping Center, Department of Neurology, UCLA, Los Angeles, California, USA
| | - Ronny Redlich
- Institute of Translational Psychiatry, Department of Mental Health, University of Münster, Münster, Germany.,Department of Clinical Psychology, University of Halle, Halle, Germany
| | - Udo Dannlowski
- Institute of Translational Psychiatry, Department of Mental Health, University of Münster, Münster, Germany
| | | | - Christopher C Abbott
- Department of Psychiatry, University of New Mexico School of Medicine, Albuquerque, New Mexico, USA
| | - Leif Oltedal
- Department of Clinical Medicine, University of Bergen, Bergen, Norway.,Mohn Medical Imaging and Visualization Centre, Department of Radiology, Haukeland University Hospital, Bergen, Norway
| | - Katherine L Narr
- Ahmanson-Lovelace Brain Mapping Center, Department of Neurology, UCLA, Los Angeles, California, USA.,Department of Psychiatry and Biobehavioral Sciences, David Geffen School of Medicine, UCLA, Los Angeles, California, USA
| |
Collapse
|
18
|
Takamiya A, Bouckaert F, Laroy M, Blommaert J, Radwan A, Khatoun A, Deng ZD, Mc Laughlin M, Van Paesschen W, De Winter FL, Van den Stock J, Sunaert S, Sienaert P, Vandenbulcke M, Emsell L. Biophysical mechanisms of electroconvulsive therapy-induced volume expansion in the medial temporal lobe: A longitudinal in vivo human imaging study. Brain Stimul 2021; 14:1038-1047. [PMID: 34182182 PMCID: PMC8474653 DOI: 10.1016/j.brs.2021.06.011] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/20/2021] [Revised: 06/23/2021] [Accepted: 06/23/2021] [Indexed: 01/22/2023] Open
Abstract
Background: Electroconvulsive therapy (ECT) applies electric currents to the brain to induce seizures for therapeutic purposes. ECT increases gray matter (GM) volume, predominantly in the medial temporal lobe (MTL). The contribution of induced seizures to this volume change remains unclear. Methods: T1-weighted structural MRI was acquired from thirty patients with late-life depression (mean age 72.5 ± 7.9 years, 19 female), before and one week after one course of right unilateral ECT. Whole brain voxel-/deformation-/surface-based morphometry analyses were conducted to identify tissue-specific (GM, white matter: WM), and cerebrospinal fluid (CSF) and cerebral morphometry changes following ECT. Whole-brain voxel-wise electric field (EF) strength was estimated to investigate the association of EF distribution and regional brain volume change. The association between percentage volume change in the right MTL and ECT-related parameters (seizure duration, EF, and number of ECT sessions) was investigated using multiple regression. Results: ECT induced widespread GM volume expansion with corresponding contraction in adjacent CSF compartments, and limited WM change. The regional EF was strongly correlated with the distance from the electrodes, but not with regional volume change. The largest volume expansion was identified in the right MTL, and this was correlated with the total seizure duration. Conclusions: Right unilateral ECT induces widespread, bilateral regional volume expansion and contraction, with the largest change in the right MTL. This dynamic volume change cannot be explained by the effect of electrical stimulation alone and is related to the cumulative effect of ECT-induced seizures.
Collapse
Affiliation(s)
- Akihiro Takamiya
- KU Leuven, Leuven Brain Institute, Department of Neurosciences, Neuropsychiatry, Leuven, Belgium; Geriatric Psychiatry, University Psychiatric Center KU Leuven, Belgium; Department of Neuropsychiatry, Keio University School of Medicine, Tokyo, Japan
| | - Filip Bouckaert
- KU Leuven, Leuven Brain Institute, Department of Neurosciences, Neuropsychiatry, Leuven, Belgium; Geriatric Psychiatry, University Psychiatric Center KU Leuven, Belgium
| | - Maarten Laroy
- KU Leuven, Leuven Brain Institute, Department of Neurosciences, Neuropsychiatry, Leuven, Belgium
| | - Jeroen Blommaert
- KU Leuven, Department of Oncology, Gynaecological Oncology, Leuven, Belgium
| | - Ahmed Radwan
- KU Leuven, Department of Imaging & Pathology, Translational MRI, Leuven, Belgium
| | - Ahmad Khatoun
- KU Leuven, Leuven Brain Institute, Department of Neurosciences, Research Group Experimental Oto-rhino-laryngology, Leuven, Belgium
| | - Zhi-De Deng
- Noninvasive Neuromodulation Unit, Experimental Therapeutics and Pathophysiology Branch, National Institute of Mental Health, National Institutes of Health, Bethesda, MD, USA; Department of Psychiatry and Behavioral Sciences, Duke University School of Medicine, Durham, NC, USA
| | - Myles Mc Laughlin
- KU Leuven, Leuven Brain Institute, Department of Neurosciences, Research Group Experimental Oto-rhino-laryngology, Leuven, Belgium
| | - Wim Van Paesschen
- KU Leuven, Leuven Brain Institute, Department of Neurosciences, Research Group Experimental Neurology, Leuven, Belgium
| | - François-Laurent De Winter
- KU Leuven, Leuven Brain Institute, Department of Neurosciences, Neuropsychiatry, Leuven, Belgium; Geriatric Psychiatry, University Psychiatric Center KU Leuven, Belgium
| | - Jan Van den Stock
- KU Leuven, Leuven Brain Institute, Department of Neurosciences, Neuropsychiatry, Leuven, Belgium; Geriatric Psychiatry, University Psychiatric Center KU Leuven, Belgium
| | - Stefan Sunaert
- KU Leuven, Department of Imaging & Pathology, Translational MRI, Leuven, Belgium; Department of Radiology, University Hospitals Leuven (UZ Leuven), Leuven, Belgium
| | - Pascal Sienaert
- Academic Center for ECT and Neuromodulation (AcCENT), University Psychiatric Center, KU Leuven, Kortenberg, Belgium
| | - Mathieu Vandenbulcke
- KU Leuven, Leuven Brain Institute, Department of Neurosciences, Neuropsychiatry, Leuven, Belgium; Geriatric Psychiatry, University Psychiatric Center KU Leuven, Belgium
| | - Louise Emsell
- KU Leuven, Leuven Brain Institute, Department of Neurosciences, Neuropsychiatry, Leuven, Belgium; Geriatric Psychiatry, University Psychiatric Center KU Leuven, Belgium; KU Leuven, Department of Imaging & Pathology, Translational MRI, Leuven, Belgium.
| |
Collapse
|
19
|
Gryglewski G, Lanzenberger R, Silberbauer LR, Pacher D, Kasper S, Rupprecht R, Frey R, Baldinger-Melich P. Meta-analysis of brain structural changes after electroconvulsive therapy in depression. Brain Stimul 2021; 14:927-937. [PMID: 34119669 DOI: 10.1016/j.brs.2021.05.014] [Citation(s) in RCA: 23] [Impact Index Per Article: 7.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/11/2020] [Revised: 04/30/2021] [Accepted: 05/19/2021] [Indexed: 12/11/2022] Open
Abstract
BACKGROUND Increases in the volume of the amygdala and hippocampus after electroconvulsive therapy (ECT) are among the most robust effects known to the brain-imaging field. Recent advances in the segmentation of substructures of these regions allow for novel insights on the relationship between brain structure and clinical outcomes of ECT. OBJECTIVE We aimed to provide a comprehensive synthesis of evidence available on changes in brain structure after ECT, including recently published data on hippocampal subfields. METHODS A meta-analysis of published studies was carried out using random-effects models of standardized mean change of regional brain volumes measured with longitudinal magnetic resonance imaging of depressive patients before and after a series of ECT. RESULTS Data from 21 studies (543 depressed patients) were analysed, including 6 studies (118 patients) on hippocampal subfields. Meta-analyses could be carried out for seven brain regions for which data from at least three published studies was available. We observed increases in left and right hippocampi, amygdalae, cornua ammonis (CA) 1, CA 2/3, dentate gyri (DG) and subicula with standardized mean change scores ranging between 0.34 and 1.15. The model did not reveal significant volume increases in the caudate. Meta-regression indicated a negative relationship between the reported increases in the DG and relative symptom improvement (-0.27 (SE: 0.09) per 10%). CONCLUSIONS ECT is accompanied by significant volume increases in the bilateral hippocampus and amygdala that are not associated with treatment outcome. Among hippocampal subfields, the most robust volume increases after ECT were measured in the dentate gyrus. The indicated negative correlation of this effect with antidepressant efficacy warrants replication in data of individual patients.
Collapse
Affiliation(s)
- Gregor Gryglewski
- Department of Psychiatry and Psychotherapy, Clinical Division of General Psychiatry, Medical University of Vienna, Austria
| | - Rupert Lanzenberger
- Department of Psychiatry and Psychotherapy, Clinical Division of General Psychiatry, Medical University of Vienna, Austria
| | - Leo R Silberbauer
- Department of Psychiatry and Psychotherapy, Clinical Division of General Psychiatry, Medical University of Vienna, Austria
| | - Daniel Pacher
- Department of Psychiatry and Psychotherapy, Clinical Division of General Psychiatry, Medical University of Vienna, Austria
| | - Siegfried Kasper
- Center for Brain Research, Medical University of Vienna, Austria
| | - Rainer Rupprecht
- Department of Psychiatry and Psychotherapy, University of Regensburg, Germany
| | - Richard Frey
- Department of Psychiatry and Psychotherapy, Clinical Division of General Psychiatry, Medical University of Vienna, Austria
| | - Pia Baldinger-Melich
- Department of Psychiatry and Psychotherapy, Clinical Division of General Psychiatry, Medical University of Vienna, Austria.
| |
Collapse
|
20
|
Wang L, Wei Q, Wang C, Xu J, Wang K, Tian Y, Wang J. Altered functional connectivity patterns of insular subregions in major depressive disorder after electroconvulsive therapy. Brain Imaging Behav 2021; 14:753-761. [PMID: 30610527 DOI: 10.1007/s11682-018-0013-z] [Citation(s) in RCA: 43] [Impact Index Per Article: 14.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
Although electroconvulsive therapy (ECT) is an efficient treatment for major depressive disorder (MDD), however, it also brings memory impairment. The insula is a critical brain structure for coordinating affective, cognitive memory, saliency processing, and attention switching suggesting functional activity of insula maybe an important indicator to delineate the treatment and side effects of ECT. Here, Resting-state functional connectivity analyses of insular subregions were performed to reveal the changes of connectivity in 23 MDD patients before and after ECT and 25 healthy control (HC) and identified significantly increased functional connectivity of the right ventral anterior insular subregion with bilateral caudate, angular gyrus, and dorsolateral prefrontal cortex after ECT. Granger causality analyses identified significantly increased effective connectivity from dorsolateral prefrontal cortex to right angular gyrus in MDD patients after ECT. Furthermore, increased effective connectivity from dorsolateral prefrontal cortex to right angular gyrus exhibited significantly positive correlation with changed Hamilton Rating Scale for Depression scores. These results showed that ECT can normalize abnormal functional connectivity and effective connectivity in MDD. Our findings also indicated that the right ventral anterior insula and effective connectivity from dorsolateral prefrontal cortex to right angular gyrus are biomarkers of antidepressant effects during ECT of MDD.
Collapse
Affiliation(s)
- Lijie Wang
- The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Lab for Neuroinformation, University of Electronic Science and Technology of China, Chengdu, 625014, China.,School of life Science and technology, University of Electronic Science and Technology of China, Chengdu, 625014, China
| | - Qiang Wei
- Department of Neurology, The First Hospital of Anhui Medical University, Hefei, 230022, China
| | - Chao Wang
- College of Psychology and Sociology, Shenzhen University, Shenzhen, 518060, China
| | - Jinping Xu
- Institute of Biomedical and Health Engineering, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, 518055, China
| | - Kai Wang
- Department of Neurology, The First Hospital of Anhui Medical University, Hefei, 230022, China.,Department of Medical Psychology, Anhui Medical University, Hefei, 230022, China.,Anhui Province Key Laboratory of Cognition and Neuropsychiatric Disorders, Hefei, 230022, China.,Collaborative Innovation Center for Neuropsychiatric Disorders and Mental Health, Hefei, 230022, China
| | - Yanghua Tian
- Department of Neurology, The First Hospital of Anhui Medical University, Hefei, 230022, China.
| | - Jiaojian Wang
- The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Lab for Neuroinformation, University of Electronic Science and Technology of China, Chengdu, 625014, China. .,School of life Science and technology, University of Electronic Science and Technology of China, Chengdu, 625014, China.
| |
Collapse
|
21
|
Jehna M, Wurm W, Pinter D, Vogel K, Holl A, Hofmann P, Ebner C, Ropele S, Fuchs G, Kapfhammer HP, Deutschmann H, Enzinger C. Do increases in deep grey matter volumes after electroconvulsive therapy persist in patients with major depression? A longitudinal MRI-study. J Affect Disord 2021; 281:908-917. [PMID: 33279261 DOI: 10.1016/j.jad.2020.11.035] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/05/2020] [Revised: 09/30/2020] [Accepted: 11/07/2020] [Indexed: 12/23/2022]
Abstract
BACKGROUND Previous MRI studies reported deep grey matter volume increases after electroconvulsive therapy (ECT) in patients with major depressive disorder (MDD). However, the clinical correlates of these changes are still unclear. It remains debated whether such volume changes are transient, and if they correlate with affective changes over time. We here investigated if ECT induces deep grey matter volume increases in MDD-patients; and, if so, whether volume changes persist over more than 9 months and whether they are related to the clinical outcome. METHODS We examined 16 MDD-patients with 3Tesla MRI before (baseline) and after an ECT-series and followed 12 of them up for 10-36 months. Patients' data were compared to 16 healthy controls. Affective scales were used to investigate the relationship between therapy-outcome and MRI changes. RESULTS At baseline, MDD-patients had lower values in global brain volume, white matter and peripheral grey matter compared to healthy controls, but we observed no significant differences in deep grey matter volumes. After ECT, the differences in peripheral grey matter disappeared, and patients demonstrated significant volume increases in the right hippocampus and both thalami, followed by subsequent decreases after 10-36 months, especially in ECT-responders. Controls did not show significant changes over time. LIMITATIONS Beside the relatively small, yet carefully characterized cohort, we address the variability in time between the third scanning session and the baseline. CONCLUSIONS ECT-induced deep grey matter volume increases are transient. Our results suggest that the thalamus might be a key region for the understanding of the mechanisms of ECT action.
Collapse
Affiliation(s)
- Margit Jehna
- Department of Radiology, Division of Neuroradiology, Vascular and Interventional Radiology, 8036 Graz, Medical University of Graz, Austria
| | - Walter Wurm
- Department of Psychiatry and Psychotherapeutic Medicine, 8036 Graz, Medical University of Graz, Austria
| | - Daniela Pinter
- Department of Neurology, Division of General Neurology, 8036 Graz, Medical University of Graz, Austria; Research Unit for Neuronal Repair and Plasticity, 8036 Graz, Medical University of Graz, Austria
| | - Katrin Vogel
- Department of Psychiatry and Psychotherapeutic Medicine, 8036 Graz, Medical University of Graz, Austria
| | - Anna Holl
- Department of Psychiatry and Psychotherapeutic Medicine, 8036 Graz, Medical University of Graz, Austria
| | - Peter Hofmann
- Department of Psychiatry and Psychotherapeutic Medicine, 8036 Graz, Medical University of Graz, Austria
| | - Christoph Ebner
- Department of Psychiatry and Psychotherapeutic Medicine, 8036 Graz, Medical University of Graz, Austria
| | - Stefan Ropele
- Department of Neurology, Division of General Neurology, 8036 Graz, Medical University of Graz, Austria
| | - Gottfried Fuchs
- Department of Anesthesiology and Intensive Care Medicine, Division of Special Anesthesiology, Pain and Intensive Care Medicine, 8036 Graz, Medical University of Graz, Austria
| | - Hans-Peter Kapfhammer
- Department of Psychiatry and Psychotherapeutic Medicine, 8036 Graz, Medical University of Graz, Austria
| | - Hannes Deutschmann
- Department of Radiology, Division of Neuroradiology, Vascular and Interventional Radiology, 8036 Graz, Medical University of Graz, Austria
| | - Christian Enzinger
- Department of Radiology, Division of Neuroradiology, Vascular and Interventional Radiology, 8036 Graz, Medical University of Graz, Austria; Department of Neurology, Division of General Neurology, 8036 Graz, Medical University of Graz, Austria; Research Unit for Neuronal Repair and Plasticity, 8036 Graz, Medical University of Graz, Austria.
| |
Collapse
|
22
|
Belge JB, van Diermen L, Sabbe B, Parizel P, Morrens M, Coppens V, Constant E, de Timary P, Sienaert P, Schrijvers D, van Eijndhoven P. Inflammation, Hippocampal Volume, and Therapeutic Outcome following Electroconvulsive Therapy in Depressive Patients: A Pilot Study. Neuropsychobiology 2021; 79:222-232. [PMID: 32114575 DOI: 10.1159/000506133] [Citation(s) in RCA: 21] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/24/2019] [Accepted: 01/20/2020] [Indexed: 11/19/2022]
Abstract
INTRODUCTION Electroconvulsive therapy (ECT) influences the concentration of peripheral inflammatory markers, such as interleukin-6 (IL-6) and tumor necrosis factor-α (TNF-α). In which way this immune effect contributes to the impact of ECT on the central nervous system in depression remains unknown. OBJECTIVE The aim of this study was to examine whether the hippocampal volumetric increase in depressed patients treated with ECT is related to changes in peripheral IL-6 and TNF-α levels. METHODS IL-6 and TNF-α plasma levels were measured in 62 patients 1 week before and after an acute course of ECT. Hippocampal volumes were analyzed in a magnetic resonance imaging (MRI) subsample of 13 patients at the same time points. RESULTS A significant decrease in IL-6 levels was observed in the total sample and a significant increase in hippocampal volume in the MRI subsample. The reduction of peripheral IL-6 correlated with an increase in total hippocampal volume. A more limited decrease of TNF-α correlated with a more limited increase of both the total and left hippocampus volumes. CONCLUSION This pilot study is the first to highlight the link between peripheral immune changes and hippocampal volume increase following ECT. Further research is required to conclude whether ECT indeed exerts its central effect on the brain via changes of peripheral inflammatory markers.
Collapse
Affiliation(s)
- Jan-Baptist Belge
- Department of Psychiatry, University Psychiatric Center Duffel, Duffel, Belgium, .,Department of Psychiatry, Collaborative Antwerp Psychiatric Research Institute (CAPRI), Faculty of Medicine and Health Sciences, University of Antwerp, Antwerp, Belgium, .,Department of Radiology, Faculty of Medicine and Health Sciences, University of Antwerp, Antwerp, Belgium,
| | - Linda van Diermen
- Department of Psychiatry, University Psychiatric Center Duffel, Duffel, Belgium.,Department of Psychiatry, Collaborative Antwerp Psychiatric Research Institute (CAPRI), Faculty of Medicine and Health Sciences, University of Antwerp, Antwerp, Belgium
| | - Bernard Sabbe
- Department of Psychiatry, University Psychiatric Center Duffel, Duffel, Belgium.,Department of Psychiatry, Collaborative Antwerp Psychiatric Research Institute (CAPRI), Faculty of Medicine and Health Sciences, University of Antwerp, Antwerp, Belgium
| | - Paul Parizel
- Department of Radiology, Faculty of Medicine and Health Sciences, University of Antwerp, Antwerp, Belgium
| | - Manuel Morrens
- Department of Psychiatry, University Psychiatric Center Duffel, Duffel, Belgium.,Department of Psychiatry, Collaborative Antwerp Psychiatric Research Institute (CAPRI), Faculty of Medicine and Health Sciences, University of Antwerp, Antwerp, Belgium
| | - Violette Coppens
- Department of Psychiatry, University Psychiatric Center Duffel, Duffel, Belgium.,Department of Psychiatry, Collaborative Antwerp Psychiatric Research Institute (CAPRI), Faculty of Medicine and Health Sciences, University of Antwerp, Antwerp, Belgium
| | - Eric Constant
- Adult Psychiatry Department and Institute of Neuroscience, Cliniques Universitaires Saint-Luc, Université Catholique de Louvain, Woluwe-Saint-Lambert, Belgium
| | - Philippe de Timary
- Adult Psychiatry Department and Institute of Neuroscience, Cliniques Universitaires Saint-Luc, Université Catholique de Louvain, Woluwe-Saint-Lambert, Belgium
| | - Pascal Sienaert
- Department of Mood Disorders and Electroconvulsive Therapy, University Psychiatric Center, KU Leuven, Leuven, Belgium
| | - Didier Schrijvers
- Department of Psychiatry, University Psychiatric Center Duffel, Duffel, Belgium.,Department of Psychiatry, Collaborative Antwerp Psychiatric Research Institute (CAPRI), Faculty of Medicine and Health Sciences, University of Antwerp, Antwerp, Belgium
| | - Philip van Eijndhoven
- Department of Psychiatry, Radboud University, Donders Institute for Brain, Cognition and Behaviour, Nijmegen, The Netherlands
| |
Collapse
|
23
|
Yamasaki S, Aso T, Miyata J, Sugihara G, Hazama M, Nemoto K, Yoshihara Y, Matsumoto Y, Okada T, Togashi K, Murai T, Takahashi H, Suwa T. Early and late effects of electroconvulsive therapy associated with different temporal lobe structures. Transl Psychiatry 2020; 10:344. [PMID: 33051437 PMCID: PMC7553938 DOI: 10.1038/s41398-020-01025-8] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/07/2019] [Revised: 08/14/2020] [Accepted: 09/03/2020] [Indexed: 12/31/2022] Open
Abstract
Recent studies examining electroconvulsive therapy (ECT) have reported that early sessions can induce rapid antidepressant and antipsychotic effects, and the early termination of ECT was reported to increase the risk of relapse. We hypothesized that different neural mechanisms associated with the therapeutic effects of ECT may be involved in the different responses observed during the early and late periods of ECT treatment. We investigated whether these antidepressant and antipsychotic effects were associated with temporally and spatially different regional gray matter volume (GMV) changes during ECT. Fourteen patients with major depressive disorder, with or without psychotic features, underwent 3-Tesla structural magnetic resonance imaging scans before (time point [Tp] 1), after the fifth or sixth ECT session (Tp2), and after ECT completion (Tp3). We investigated the regions in which GMV changed between Tp1 and Tp2, Tp2 and Tp3, and Tp1 and Tp3 using voxel-based morphometry. In addition, we investigated the association between regional GMV changes and improvement in depressive or psychotic symptoms. GMV increase in the left superior and inferior temporal gyrus during Tp1-Tp2 was associated with improvement in psychotic symptoms (P < 0.025). GMV increase in the left hippocampus was associated with improvement of depressive symptoms in Tp2-Tp3 (P < 0.05). Our findings suggest that different temporal lobe structures are associated with early antipsychotic and late antidepressant effects of ECT.
Collapse
Affiliation(s)
- Shimpei Yamasaki
- grid.258799.80000 0004 0372 2033Department of Psychiatry, Graduate School of Medicine, Kyoto University, Kyoto, Japan
| | - Toshihiko Aso
- grid.258799.80000 0004 0372 2033Department of Psychiatry, Graduate School of Medicine, Kyoto University, Kyoto, Japan ,Laboratory for Brain Connectomics Imaging, RIKEN Center for Biosystems Dynamics Research, Kobe, Japan ,grid.258799.80000 0004 0372 2033Human Brain Research Center, Graduate School of Medicine, Kyoto University, Kyoto, Japan
| | - Jun Miyata
- Department of Psychiatry, Graduate School of Medicine, Kyoto University, Kyoto, Japan.
| | - Genichi Sugihara
- grid.258799.80000 0004 0372 2033Department of Psychiatry, Graduate School of Medicine, Kyoto University, Kyoto, Japan ,grid.265073.50000 0001 1014 9130Department of Psychiatry and Behavioral Sciences, Graduate School of Medical and Dental Sciences, Tokyo Medical and Dental University, Tokyo, Japan
| | - Masaaki Hazama
- grid.258799.80000 0004 0372 2033Department of Psychiatry, Graduate School of Medicine, Kyoto University, Kyoto, Japan
| | - Kiyotaka Nemoto
- grid.20515.330000 0001 2369 4728Department of Psychiatry, Faculty of Medicine, University of Tsukuba, Ibaraki, Japan
| | - Yujiro Yoshihara
- grid.258799.80000 0004 0372 2033Department of Psychiatry, Graduate School of Medicine, Kyoto University, Kyoto, Japan ,grid.258799.80000 0004 0372 2033Human Brain Research Center, Graduate School of Medicine, Kyoto University, Kyoto, Japan
| | - Yukiko Matsumoto
- grid.258799.80000 0004 0372 2033Department of Psychiatry, Graduate School of Medicine, Kyoto University, Kyoto, Japan
| | - Tomohisa Okada
- grid.258799.80000 0004 0372 2033Human Brain Research Center, Graduate School of Medicine, Kyoto University, Kyoto, Japan
| | - Kaori Togashi
- grid.258799.80000 0004 0372 2033Department of Diagnostic Imaging and Nuclear Medicine, Graduate School of Medicine, Kyoto University, Kyoto, Japan
| | - Toshiya Murai
- grid.258799.80000 0004 0372 2033Department of Psychiatry, Graduate School of Medicine, Kyoto University, Kyoto, Japan
| | - Hidehiko Takahashi
- grid.258799.80000 0004 0372 2033Department of Psychiatry, Graduate School of Medicine, Kyoto University, Kyoto, Japan ,grid.265073.50000 0001 1014 9130Department of Psychiatry and Behavioral Sciences, Graduate School of Medical and Dental Sciences, Tokyo Medical and Dental University, Tokyo, Japan
| | - Taro Suwa
- Department of Psychiatry, Graduate School of Medicine, Kyoto University, Kyoto, Japan.
| |
Collapse
|
24
|
Jolly AJ, Singh SM. Does electroconvulsive therapy cause brain damage: An update. Indian J Psychiatry 2020; 62:339-353. [PMID: 33165343 PMCID: PMC7597699 DOI: 10.4103/psychiatry.indianjpsychiatry_239_19] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/09/2019] [Revised: 06/23/2019] [Accepted: 02/08/2020] [Indexed: 12/31/2022] Open
Abstract
Electroconvulsive therapy (ECT) is an effective modality of treatment for a variety of psychiatric disorders. However, it has always been accused of being a coercive, unethical, and dangerous modality of treatment. The dangerousness of ECT has been mainly attributed to its claimed ability to cause brain damage. This narrative review aims to provide an update of the evidence with regard to whether the practice of ECT is associated with damage to the brain. An accepted definition of brain damage remains elusive. There are also ethical and technical problems in designing studies that look at this question specifically. Thus, even though there are newer technological tools and innovations, any review attempting to answer this question would have to take recourse to indirect methods. These include structural, functional, and metabolic neuroimaging; body fluid biochemical marker studies; and follow-up studies of cognitive impairment and incidence of dementia in people who have received ECT among others. The review of literature and present evidence suggests that ECT has a demonstrable impact on the structure and function of the brain. However, there is a lack of evidence at present to suggest that ECT causes brain damage.
Collapse
Affiliation(s)
- Amal Joseph Jolly
- Department of Psychiatry, Postgraduate Institute of Medical Education and Research, Chandigarh, India
| | - Shubh Mohan Singh
- Department of Psychiatry, Postgraduate Institute of Medical Education and Research, Chandigarh, India
| |
Collapse
|
25
|
Li Q, Zhao Y, Chen Z, Long J, Dai J, Huang X, Lui S, Radua J, Vieta E, Kemp GJ, Sweeney JA, Li F, Gong Q. Meta-analysis of cortical thickness abnormalities in medication-free patients with major depressive disorder. Neuropsychopharmacology 2020; 45:703-712. [PMID: 31694045 PMCID: PMC7021694 DOI: 10.1038/s41386-019-0563-9] [Citation(s) in RCA: 97] [Impact Index Per Article: 24.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/28/2019] [Revised: 09/25/2019] [Accepted: 10/25/2019] [Indexed: 02/05/2023]
Abstract
Alterations in cortical thickness have been identified in major depressive disorder (MDD), but findings have been variable and inconsistent. To date, no reliable tools have been available for the meta-analysis of surface-based morphometric (SBM) studies to effectively characterize what has been learned in previous studies, and drug treatments may have differentially impacted findings. We conducted a comprehensive meta-analysis of magnetic resonance imaging (MRI) studies that explored cortical thickness in medication-free patients with MDD, using a newly developed meta-analytic mask compatible with seed-based d mapping (SDM) meta-analytic software. We performed the meta-regression to explore the effects of demographics and clinical characteristics on variation in cortical thickness in MDD. Fifteen studies describing 529 patients and 586 healthy controls (HCs) were included. Medication-free patients with MDD, relative to HCs, showed a complex pattern of increased cortical thickness in some areas (posterior cingulate cortex, ventromedial prefrontal cortex, and anterior cingulate cortex) and decreased cortical thickness in others (gyrus rectus, orbital segment of the superior frontal gyrus, and middle temporal gyrus). Most findings in the whole sample analysis were confirmed in a meta-analysis of studies recruiting medication-naive patients. Using the new mask specifically developed for SBM studies, this SDM meta-analysis provides evidence for regional cortical thickness alterations in MDD, mainly involving increased cortical thickness in the default mode network and decreased cortical thickness in the orbitofrontal and temporal cortex.
Collapse
Affiliation(s)
- Qian Li
- 0000 0004 1770 1022grid.412901.fHuaxi MR Research Center (HMRRC), Functional and Molecular Imaging Key Laboratory of Sichuan Province, Department of Radiology, West China Hospital of Sichuan University, Chengdu, Sichuan 610041 P. R. China ,0000 0004 1770 1022grid.412901.fPsychoradiology Research Unit of Chinese Academy of Medical Sciences (2018RU011), West China Hospital of Sichuan University, Chengdu, 610041 China
| | - Youjin Zhao
- 0000 0004 1770 1022grid.412901.fHuaxi MR Research Center (HMRRC), Functional and Molecular Imaging Key Laboratory of Sichuan Province, Department of Radiology, West China Hospital of Sichuan University, Chengdu, Sichuan 610041 P. R. China ,0000 0004 1770 1022grid.412901.fPsychoradiology Research Unit of Chinese Academy of Medical Sciences (2018RU011), West China Hospital of Sichuan University, Chengdu, 610041 China
| | - Ziqi Chen
- 0000 0004 1770 1022grid.412901.fHuaxi MR Research Center (HMRRC), Functional and Molecular Imaging Key Laboratory of Sichuan Province, Department of Radiology, West China Hospital of Sichuan University, Chengdu, Sichuan 610041 P. R. China ,0000 0004 1770 1022grid.412901.fPsychoradiology Research Unit of Chinese Academy of Medical Sciences (2018RU011), West China Hospital of Sichuan University, Chengdu, 610041 China
| | - Jingyi Long
- 0000 0004 1770 1022grid.412901.fHuaxi MR Research Center (HMRRC), Functional and Molecular Imaging Key Laboratory of Sichuan Province, Department of Radiology, West China Hospital of Sichuan University, Chengdu, Sichuan 610041 P. R. China ,0000 0004 1770 1022grid.412901.fPsychoradiology Research Unit of Chinese Academy of Medical Sciences (2018RU011), West China Hospital of Sichuan University, Chengdu, 610041 China
| | - Jing Dai
- Department of Psychoradiology, The Fourth People’s Hospital of Chengdu, Chengdu, China
| | - Xiaoqi Huang
- 0000 0004 1770 1022grid.412901.fHuaxi MR Research Center (HMRRC), Functional and Molecular Imaging Key Laboratory of Sichuan Province, Department of Radiology, West China Hospital of Sichuan University, Chengdu, Sichuan 610041 P. R. China ,0000 0004 1770 1022grid.412901.fPsychoradiology Research Unit of Chinese Academy of Medical Sciences (2018RU011), West China Hospital of Sichuan University, Chengdu, 610041 China
| | - Su Lui
- 0000 0004 1770 1022grid.412901.fHuaxi MR Research Center (HMRRC), Functional and Molecular Imaging Key Laboratory of Sichuan Province, Department of Radiology, West China Hospital of Sichuan University, Chengdu, Sichuan 610041 P. R. China ,0000 0004 1770 1022grid.412901.fPsychoradiology Research Unit of Chinese Academy of Medical Sciences (2018RU011), West China Hospital of Sichuan University, Chengdu, 610041 China
| | - Joaquim Radua
- Institut d’Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Mental Health Research Networking Center (CIBERSAM), Barcelona, Spain ,0000 0004 1937 0626grid.4714.6Centre for Psychiatric Research and Education, Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden ,0000 0001 2322 6764grid.13097.3cDepartment of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King’s College London, London, UK
| | - Eduard Vieta
- Institut d’Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Mental Health Research Networking Center (CIBERSAM), Barcelona, Spain ,0000 0004 1937 0247grid.5841.8Barcelona Bipolar Disorders and Depressive Unit, Hospital Clinic, Institute of Neurosciences, University of Barcelona, Barcelona, Spain
| | - Graham J. Kemp
- 0000 0004 1936 8470grid.10025.36Liverpool Magnetic Resonance Imaging Centre (LiMRIC) and Institute of Ageing and Chronic Disease, University of Liverpool, Liverpool, UK
| | - John A. Sweeney
- 0000 0004 1770 1022grid.412901.fHuaxi MR Research Center (HMRRC), Functional and Molecular Imaging Key Laboratory of Sichuan Province, Department of Radiology, West China Hospital of Sichuan University, Chengdu, Sichuan 610041 P. R. China ,0000 0001 2179 9593grid.24827.3bDepartment of Psychiatry, University of Cincinnati, Cincinnati, OH USA
| | - Fei Li
- Huaxi MR Research Center (HMRRC), Functional and Molecular Imaging Key Laboratory of Sichuan Province, Department of Radiology, West China Hospital of Sichuan University, Chengdu, Sichuan, 610041, P. R. China. .,Psychoradiology Research Unit of Chinese Academy of Medical Sciences (2018RU011), West China Hospital of Sichuan University, Chengdu, 610041, China.
| | - Qiyong Gong
- Huaxi MR Research Center (HMRRC), Functional and Molecular Imaging Key Laboratory of Sichuan Province, Department of Radiology, West China Hospital of Sichuan University, Chengdu, Sichuan, 610041, P. R. China. .,Psychoradiology Research Unit of Chinese Academy of Medical Sciences (2018RU011), West China Hospital of Sichuan University, Chengdu, 610041, China.
| |
Collapse
|
26
|
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: 66] [Impact Index Per Article: 16.5] [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.
Collapse
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
| | | |
Collapse
|
27
|
Mulders PCR, Llera A, Beckmann CF, Vandenbulcke M, Stek M, Sienaert P, Redlich R, Petrides G, Oudega ML, Oltedal L, Oedegaard KJ, Narr KL, Magnusson PO, Kessler U, Jorgensen A, Espinoza R, Enneking V, Emsell L, Dols A, Dannlowski U, Bolwig TG, Bartsch H, Argyelan M, Anand A, Abbott CC, van Eijndhoven PFP, Tendolkar I. Structural changes induced by electroconvulsive therapy are associated with clinical outcome. Brain Stimul 2020; 13:696-704. [PMID: 32289700 DOI: 10.1016/j.brs.2020.02.020] [Citation(s) in RCA: 22] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/07/2019] [Revised: 01/30/2020] [Accepted: 02/17/2020] [Indexed: 12/24/2022] Open
Abstract
BACKGROUND Electroconvulsive therapy (ECT) is the most effective treatment option for major depressive disorder, so understanding whether its clinical effect relates to structural brain changes is vital for current and future antidepressant research. OBJECTIVE To determine whether clinical response to ECT is related to structural volumetric changes in the brain as measured by structural magnetic resonance imaging (MRI) and, if so, which regions are related to this clinical effect. We also determine whether a similar model can be used to identify regions associated with electrode placement (unilateral versus bilateral ECT). METHODS Longitudinal MRI and clinical data (Hamilton Depression Rating Scale) was collected from 10 sites as part of the Global ECT-MRI research collaboration (GEMRIC). From 192 subjects, relative changes in 80 (sub)cortical areas were used as potential features for classifying treatment response. We used recursive feature elimination to extract relevant features, which were subsequently used to train a linear classifier. As a validation, the same was done for electrode placement. We report accuracy as well as the structural coefficients of regions included in the discriminative spatial patterns obtained. RESULTS A pattern of structural changes in cortical midline, striatal and lateral prefrontal areas discriminates responders from non-responders (75% accuracy, p < 0.001) while left-sided mediotemporal changes discriminate unilateral from bilateral electrode placement (81% accuracy, p < 0.001). CONCLUSIONS The identification of a multivariate discriminative pattern shows that structural change is relevant for clinical response to ECT, but this pattern does not include mediotemporal regions that have been the focus of electroconvulsive therapy research so far.
Collapse
Affiliation(s)
- Peter C R Mulders
- Department of Psychiatry, Radboud University Medical Center, Nijmegen, the Netherlands; Donders Institute for Brain, Cognition and Behavior, Centre for Cognitive Neuroimaging, Nijmegen, the Netherlands.
| | - Alberto Llera
- Donders Institute for Brain, Cognition and Behavior, Centre for Cognitive Neuroimaging, Nijmegen, the Netherlands; Radboud University Nijmegen, Nijmegen, the Netherlands
| | - Christian F Beckmann
- Donders Institute for Brain, Cognition and Behavior, Centre for Cognitive Neuroimaging, Nijmegen, the Netherlands; Oxford Centre for Functional Magnetic Resonance Imaging of the Brain (FMRIB), University of Oxford, Oxford, United Kingdom
| | - Mathieu Vandenbulcke
- Department of Geriatric Psychiatry, University Psychiatric Center (UPC), KU Leuven, Leuven, Belgium
| | - Max Stek
- GGZ InGeest Specialized Mental Health Care, Amsterdam, Netherlands; Amsterdam UMC, Vrije Universiteit Amsterdam, Department of Psychiatry, Amsterdam Neuroscience, Amsterdam, the Netherlands
| | - Pascal Sienaert
- Academic Center for ECT and Neurostimulation (AcCENT), University Psychiatric Center (UPC) - KU Leuven, Kortenberg, Belgium
| | - Ronny Redlich
- Department of Psychiatry, University of Münster, Münster, Germany
| | - Georgios Petrides
- - Department of Psychiatry, The Zucker Hillside Hospital, Glen Oaks, USA; Center for Neuroscience, Feinstein Institute for Medical Research, Manhasset, USA; Zucker School of Medicine at Hofstra/Northwell, Department of Psychiatry, Hempstead, USA
| | - Mardien Leoniek Oudega
- GGZ InGeest Specialized Mental Health Care, Amsterdam, Netherlands; Amsterdam UMC, Vrije Universiteit Amsterdam, Department of Psychiatry, Amsterdam Neuroscience, Amsterdam, the Netherlands
| | - Leif Oltedal
- Department of Clinical Medicine, University of Bergen, Bergen, Norway; Mohn Medical Imaging and Visualization Centre, Department of Radiology, Haukeland University Hospital, Bergen, Norway
| | - Ketil J Oedegaard
- Department of Clinical Medicine, University of Bergen, Bergen, Norway; Division of Psychiatry, Haukeland University Hospital, Bergen, Norway
| | - Katherine L Narr
- Departments of Neurology Psychiatry, Biobehavioral Sciences, Geffen School of Medicine at the University of California, Los Angeles, CA, USA
| | - Peter O Magnusson
- Lund University, Box 118, SE-221 00, Lund, Sweden; Previous: Danish Research Centre for Magnetic Resonance, Centre for Functional and Diagnostic Imaging and Research, Copenhagen University Hospital, Hvidovre, Denmark
| | - Ute Kessler
- Department of Clinical Medicine, University of Bergen, Bergen, Norway; Division of Psychiatry, Haukeland University Hospital, Bergen, Norway
| | - Anders Jorgensen
- Psychiatric Center Copenhagen & University of Copenhagen, Copenhagen, Denmark
| | - Randall Espinoza
- Departments of Neurology Psychiatry, Biobehavioral Sciences, Geffen School of Medicine at the University of California, Los Angeles, CA, USA
| | - Verena Enneking
- Department of Psychiatry, University of Münster, Münster, Germany
| | - Louise Emsell
- Department of Geriatric Psychiatry, University Psychiatric Center (UPC), KU Leuven, Leuven, Belgium
| | - Annemieke Dols
- GGZ InGeest Specialized Mental Health Care, Amsterdam, Netherlands; Amsterdam UMC, Vrije Universiteit Amsterdam, Department of Psychiatry, Amsterdam Neuroscience, Amsterdam, the Netherlands
| | - Udo Dannlowski
- Department of Psychiatry, University of Münster, Münster, Germany
| | - Tom G Bolwig
- Previous: Danish Research Centre for Magnetic Resonance, Centre for Functional and Diagnostic Imaging and Research, Copenhagen University Hospital, Hvidovre, Denmark
| | - Hauke Bartsch
- Mohn Medical Imaging and Visualization Centre, Department of Radiology, Haukeland University Hospital, Bergen, Norway; Center for Multimodal Imaging and Genetics, University of California, San Diego, La Jolla, CA, USA
| | - Miklos Argyelan
- - Department of Psychiatry, The Zucker Hillside Hospital, Glen Oaks, USA; Center for Neuroscience, Feinstein Institute for Medical Research, Manhasset, USA; Zucker School of Medicine at Hofstra/Northwell, Department of Psychiatry, Hempstead, USA
| | - Amit Anand
- Center of Behavioral Health, Cleveland Clinic, Cleveland, OH, USA
| | | | - Philip F P 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
| | - 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; Department of Psychiatry and Psychotherapy, University Hospital Essen, Essen, Germany
| |
Collapse
|
28
|
Suh JS, Minuzzi L, Raamana PR, Davis A, Hall GB, Harris J, Hassel S, Zamyadi M, Arnott SR, Alders GL, Sassi RB, Milev R, Lam RW, MacQueen GM, Strother SC, Kennedy SH, Frey BN. An investigation of cortical thickness and antidepressant response in major depressive disorder: A CAN-BIND study report. NEUROIMAGE-CLINICAL 2020; 25:102178. [PMID: 32036277 PMCID: PMC7011077 DOI: 10.1016/j.nicl.2020.102178] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 10/18/2019] [Revised: 11/25/2019] [Accepted: 01/10/2020] [Indexed: 11/28/2022]
Abstract
Major depressive disorder (MDD) is considered a highly heterogeneous clinical and neurobiological mental disorder. We employed a novel layered treatment design to investigate whether cortical thickness features at baseline differentiated treatment responders from non-responders after 8 and 16 weeks of a standardized sequential antidepressant treatment. Secondary analyses examined baseline differences between MDD and controls as a replication analysis and longitudinal changes in thickness after 8 weeks of escitalopram treatment. 181 MDD and 95 healthy comparison (HC) participants were studied. After 8 weeks of escitalopram treatment (10-20 mg/d, flexible dosage), responders (>50% decrease in Montgomery-Åsberg Depression Scale score) were continued on escitalopram; non-responders received adjunctive aripiprazole (2-10 mg/d, flexible dosage). MDD participants were classified into subgroups according to their response profiles at weeks 8 and 16. Baseline group differences in cortical thickness were analyzed with FreeSurfer between HC and MDD groups as well as between response groups. Two-stage longitudinal processing was used to investigate 8-week escitalopram treatment-related changes in cortical thickness. Compared to HC, the MDD group exhibited thinner cortex in the left rostral middle frontal cortex [MNI(X,Y,Z=-29,9,54.5,-7.7); CWP=0.0002]. No baseline differences in cortical thickness were observed between responders and non-responders based on week-8 or week-16 response profile. No changes in cortical thickness was observed after 8 weeks of escitalopram monotherapy. In a two-step 16-week sequential clinical trial we found that baseline cortical thickness does not appear to be associated to clinical response to pharmacotherapy at 8 or 16 weeks.
Collapse
Affiliation(s)
- Jee Su Suh
- Neuroscience Graduate Program, McMaster University, Hamilton, ON, Canada; Mood Disorders Program and Women's Health Concerns Clinic, St. Joseph's Healthcare Hamilton, Hamilton, ON, Canada
| | - Luciano Minuzzi
- Neuroscience Graduate Program, McMaster University, Hamilton, ON, Canada; Mood Disorders Program and Women's Health Concerns Clinic, St. Joseph's Healthcare Hamilton, Hamilton, ON, Canada; Department of Psychiatry and Behavioural Neurosciences, McMaster University, Hamilton, ON, Canada
| | - Pradeep Reddy Raamana
- Rotman Research Institute, Baycrest Health Sciences; Department of Medical Biophysics, University of Toronto, Toronto, ON, Canada
| | - Andrew Davis
- Department of Psychology, Neuroscience and Behaviour, McMaster University, Hamilton, ON, Canada
| | - Geoffrey B Hall
- Department of Psychology, Neuroscience and Behaviour, McMaster University, Hamilton, ON, Canada
| | - Jacqueline Harris
- Department of Computing Science, University of Alberta, Edmonton, AB, Canada
| | - Stefanie Hassel
- Department of Psychiatry, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada; Mathison Centre for Mental Health Research and Education, University of Calgary, Calgary, AB, Canada
| | - Mojdeh Zamyadi
- Rotman Research Institute, Baycrest Health Sciences; Department of Medical Biophysics, University of Toronto, Toronto, ON, Canada
| | - Stephen R Arnott
- Rotman Research Institute, Baycrest Health Sciences; Department of Medical Biophysics, University of Toronto, Toronto, ON, Canada
| | - Gésine L Alders
- Neuroscience Graduate Program, McMaster University, Hamilton, ON, Canada; Mood Disorders Program and Women's Health Concerns Clinic, St. Joseph's Healthcare Hamilton, Hamilton, ON, Canada
| | - Roberto B Sassi
- Department of Psychiatry and Behavioural Neurosciences, McMaster University, Hamilton, ON, Canada
| | - Roumen Milev
- Departments of Psychiatry and Psychology, Queen's University and Providence Care Hospital, Kingston, ON, Canada
| | - Raymond W Lam
- Department of Psychiatry, University of British Columbia, Vancouver, BC, Canada
| | - Glenda M MacQueen
- Department of Psychiatry, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada; Mathison Centre for Mental Health Research and Education, University of Calgary, Calgary, AB, Canada
| | - Stephen C Strother
- Rotman Research Institute, Baycrest Health Sciences; Department of Medical Biophysics, University of Toronto, Toronto, ON, Canada
| | - Sidney H Kennedy
- Canadian Biomarker Integration Network for Depression, St. Michael's Hospital, Toronto, ON, Canada; Department of Psychiatry, University of Toronto, Toronto, ON, Canada
| | - Benicio N Frey
- Neuroscience Graduate Program, McMaster University, Hamilton, ON, Canada; Mood Disorders Program and Women's Health Concerns Clinic, St. Joseph's Healthcare Hamilton, Hamilton, ON, Canada; Department of Psychiatry and Behavioural Neurosciences, McMaster University, Hamilton, ON, Canada.
| |
Collapse
|
29
|
Enneking V, Leehr EJ, Dannlowski U, Redlich R. Brain structural effects of treatments for depression and biomarkers of response: a systematic review of neuroimaging studies. Psychol Med 2020; 50:187-209. [PMID: 31858931 DOI: 10.1017/s0033291719003660] [Citation(s) in RCA: 51] [Impact Index Per Article: 12.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
Abstract
Antidepressive pharmacotherapy (AD), electroconvulsive therapy (ECT) and cognitive behavioural therapy (CBT) are effective treatments for major depressive disorder. With our review, we aim to provide a systematic overview of neuroimaging studies that investigate the effects of AD, ECT and CBT on brain grey matter volume (GMV) and biomarkers associated with response. After a systematic database research on PubMed, we included 50 studies using magnetic resonance imaging and investigating (1) changes in GMV, (2) pre-treatment GMV biomarkers associated with response, or (3) the accuracy of predictions of response to AD, ECT or CBT based on baseline GMV data. The strongest evidence for brain structural changes was found for ECT, showing volume increases within the temporal lobe and subcortical structures - such as the hippocampus-amygdala complex, anterior cingulate cortex (ACC) and striatum. For AD, the evidence is heterogeneous as only 4 of 11 studies reported significant changes in GMV. The results are not sufficient in order to draw conclusions about the structural brain effects of CBT. The findings show consistently that higher pre-treatment ACC volume is associated with response to AD, ECT and CBT. An association of higher pre-treatment hippocampal volume and response has only been reported for AD. Machine learning approaches based on pre-treatment whole brain patterns reach accuracies of 64-90% for predictions of AD or ECT response on the individual patient level. The findings underline the potential of brain biomarkers for the implementation in clinical practice as an additive feature within the process of treatment selection.
Collapse
Affiliation(s)
- Verena Enneking
- Department of Psychiatry, University of Münster, Münster, Germany
| | | | - Udo Dannlowski
- Department of Psychiatry, University of Münster, Münster, Germany
| | - Ronny Redlich
- Department of Psychiatry, University of Münster, Münster, Germany
| |
Collapse
|
30
|
Camilleri JA, Hoffstaedter F, Zavorotny M, Zöllner R, Wolf RC, Thomann P, Redlich R, Opel N, Dannlowski U, Grözinger M, Demirakca T, Sartorius A, Eickhoff SB, Nickl-Jockschat T. Electroconvulsive therapy modulates grey matter increase in a hub of an affect processing network. NEUROIMAGE-CLINICAL 2019; 25:102114. [PMID: 31884221 PMCID: PMC6939059 DOI: 10.1016/j.nicl.2019.102114] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/03/2019] [Revised: 11/21/2019] [Accepted: 12/02/2019] [Indexed: 02/09/2023]
Abstract
We here present a structural neuroimaging study reporting on a large multi-site patient sample with unipolar depression that underwent ECT. Patients showed grey matter increases in the medial temporal lobe. Connectivity modeling revealed that this altered brain region was involved in networks related to affect processing and memory. This provides a potential explanation, how these structural changes during ECT are involved in both main and side effects of the treatment.
A growing number of recent studies has suggested that the neuroplastic effects of electroconvulsive therapy (ECT) might be prominent enough to be detected through changes of regional gray matter volumes (GMV) during the course of the treatment. Given that ECT patients are difficult to recruit for imaging studies, most publications, however, report only on small samples. Addressing this challenge, we here report results of a structural imaging study on ECT patients that pooled patients from five German sites. Whole-brain voxel-based morphometry (VBM) analysis was performed to detect structural differences in 85 patients with unipolar depression before and after ECT, when compared to 86 healthy controls. Both task-independent and task-dependent physiological whole-brain functional connectivity patterns of these regions were modeled using additional data from healthy subjects. All emerging regions were additionally functionally characterized using the BrainMap database. Our VBM analysis detected a significant increase of GMV in the right hippocampus/amygdala region in patients after ECT compared to healthy controls. In healthy subjects this region was found to be enrolled in a network associated with emotional processing and memory. A region in the left fusiform gyrus was additionally found to have higher GMV in controls when compared with patients at baseline. This region showed minor changes after ECT. Our data points to a GMV increase in patients post ECT in regions that seem to constitute a hub of an emotion processing network. This appears as a plausible antidepressant mechanism and could explain the efficacy of ECT not only in the treatment of unipolar depression, but also of affective symptoms across heterogeneous disorders.
Collapse
Affiliation(s)
- Julia A Camilleri
- Institute of Neuroscience and Medicine-7, Juelich Research Center, Juelich, Germany; Institute of Systems Neuroscience, Heinrich Heine University, Duesseldorf, Germany
| | - Felix Hoffstaedter
- Institute of Neuroscience and Medicine-7, Juelich Research Center, Juelich, Germany; Institute of Systems Neuroscience, Heinrich Heine University, Duesseldorf, Germany
| | - Maxim Zavorotny
- Department of Psychiatry and Psychotherapy, Marburg Center for Mind, Brain and Behavior - MCMBB, Philipps-University Marburg, 35043 Marburg, Germany
| | - Rebecca Zöllner
- Department of Psychiatry and Psychotherapy, Marburg Center for Mind, Brain and Behavior - MCMBB, Philipps-University Marburg, 35043 Marburg, Germany
| | - Robert Christian Wolf
- Center for Psychosocial Medicine, Department of General Psychiatry, Heidelberg University, Heidelberg, Germany; Center for Mental Health, Odenwald District Healthcare Center, Erbach, Germany
| | - Philipp Thomann
- Center for Psychosocial Medicine, Department of General Psychiatry, Heidelberg University, Heidelberg, Germany
| | - Ronny Redlich
- Department of Psychiatry and Psychotherapy, University of Muenster, Muenster, Germany
| | - Nils Opel
- Department of Psychiatry and Psychotherapy, University of Muenster, Muenster, Germany
| | - Udo Dannlowski
- Department of Psychiatry and Psychotherapy, University of Muenster, Muenster, Germany
| | - Michael Grözinger
- Department of Psychiatry, Psychotherapy and Psychosomatics, RWTH Aachen University, Aachen, Germany
| | | | | | - Simon B Eickhoff
- Institute of Neuroscience and Medicine-7, Juelich Research Center, Juelich, Germany; Institute of Systems Neuroscience, Heinrich Heine University, Duesseldorf, Germany
| | - Thomas Nickl-Jockschat
- Department of Psychiatry, Psychotherapy and Psychosomatics, RWTH Aachen University, Aachen, Germany; Department of Psychiatry, Carver College of Medicine, University of Iowa, Iowa City, USA; Iowa Neuroscience Institute, University of Iowa, Iowa City, USA.
| |
Collapse
|
31
|
Laroy M, Bouckaert F, Vansteelandt K, Obbels J, Dols A, Emsell L, Stek M, Vandenbulcke M, Sienaert P. Association between hippocampal volume change and change in memory following electroconvulsive therapy in late-life depression. Acta Psychiatr Scand 2019; 140:435-445. [PMID: 31411340 DOI: 10.1111/acps.13086] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/28/2018] [Revised: 08/01/2019] [Accepted: 08/05/2019] [Indexed: 12/28/2022]
Abstract
OBJECTIVE Electroconvulsive therapy (ECT)-induced hippocampal volume change (HVC) has been repeatedly described in recent years. The similar time course of HVC and ECT-related cognitive effects suggest a relation, that is to date, understudied. This study investigates whether HVC following ECT predicts the change in memory performance six months after the end of the ECT treatment. METHODS Hippocampal volume (HV) was measured via high-resolution 3D T1-weighted images in 88 patients with late-life depression, within 1 week before and after ECT. Memory performance was assessed before and six months after ECT. Multiple linear regression was used to examine whether change in memory performance could be predicted based on ECT-induced changes in HV. RESULTS Larger right absolute HVC predicts less pronounced improvement on the VAT (visual memory) in the whole sample. For the 8-Word Test (verbal memory), Category Fluency Test (semantic memory), and MMSE, the effect is only present in patients who switched from right unilateral to bitemporal stimulation after six ECT sessions. Absolute HVC in the left hemisphere was not significantly related to cognitive change. CONCLUSION A larger absolute change in right HV during ECT is associated with less improvement in memory performance up to 6 months post-ECT.
Collapse
Affiliation(s)
- M Laroy
- KU Leuven - University of Leuven, Academic Center for ECT and Neuromodulation (AcCENT), University Psychiatric Center KU Leuven, Kortenberg, Belgium
| | - F Bouckaert
- KU Leuven - University of Leuven, Academic Center for ECT and Neuromodulation (AcCENT), University Psychiatric Center KU Leuven, Kortenberg, Belgium.,Old Age Psychiatry, KU Leuven - University of Leuven, University Psychiatric Center KU Leuven, Kortenberg, Belgium
| | - K Vansteelandt
- KU Leuven - University of Leuven, Academic Center for ECT and Neuromodulation (AcCENT), University Psychiatric Center KU Leuven, Kortenberg, Belgium
| | - J Obbels
- KU Leuven - University of Leuven, Academic Center for ECT and Neuromodulation (AcCENT), University Psychiatric Center KU Leuven, Kortenberg, Belgium
| | - A Dols
- Department of Old Age Psychiatry, Amsterdam Public Health Research Institute, Amsterdam Neuroscience, GGZ inGeest/VU University Medical Center, Amsterdam, The Netherlands
| | - L Emsell
- Old Age Psychiatry, KU Leuven - University of Leuven, University Psychiatric Center KU Leuven, Kortenberg, Belgium
| | - M Stek
- Department of Old Age Psychiatry, Amsterdam Public Health Research Institute, Amsterdam Neuroscience, GGZ inGeest/VU University Medical Center, Amsterdam, The Netherlands
| | - M Vandenbulcke
- Old Age Psychiatry, KU Leuven - University of Leuven, University Psychiatric Center KU Leuven, Kortenberg, Belgium
| | - P Sienaert
- KU Leuven - University of Leuven, Academic Center for ECT and Neuromodulation (AcCENT), University Psychiatric Center KU Leuven, Kortenberg, Belgium
| |
Collapse
|
32
|
Yrondi A, Nemmi F, Billoux S, Giron A, Sporer M, Taib S, Salles J, Pierre D, Thalamas C, Rigal E, Danet L, Pariente J, Schmitt L, Arbus C, Péran P. Grey Matter changes in treatment-resistant depression during electroconvulsive therapy. J Affect Disord 2019; 258:42-49. [PMID: 31382103 DOI: 10.1016/j.jad.2019.07.075] [Citation(s) in RCA: 16] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/23/2019] [Revised: 07/08/2019] [Accepted: 07/29/2019] [Indexed: 02/06/2023]
Abstract
INTRODUCTION 20-30% of depressed patients experience Treatment Resistant Depression (TRD). Electroconvulsive Therapy (ECT) remains the treatment of choice for TRD. However, the exact mechanism of ECT remains unclear. We aim to assess grey matter changes in patients with TRD undergoing bilateral ECT treatment at different points during and after treatment. METHODS Patients are recruited at the University Hospital of Toulouse. Eligibility criteria include a diagnosis of TRD and an age between 50 and 70 years old. Patients received clinical assessments (Hamilton Depression Rating Scale) and structural scans (MRI) at three points: baseline (within 48 h before the first ECT); V2 (after the first ECT considered effective); and V3 (within 1 week of completing ECT). RESULTS At baseline, controls had significantly higher cortical thickness than patients in the fusiform gyrus, the inferior, middle and superior temporal gyrus, the parahippocampal gyrus and the transverse temporal gyrus (respectively: t(35)=2.7, p = 0.02; t(35)=2.89, p = 0.017; t(35)=3.1, p = 0.015; t(35)=3.6, p = 0.009; t(35)=2.37, p = 0.031; t(35)=2.46, p = 0.03). This difference was no longer significant after ECT. We showed an increase in cortical thickness in superior temporal gyrus between (i) baseline and V3 (t(62)=-3.43 p = 0.009) and (ii) V2 and V3 (t(62)=-3.42 p = 0.009). We showed an increase in hippocampal volume between (i) baseline and V3 (t(62)=-5.23 p < 0.001) and (ii) V2 and V3 (t(62)=-5.3 p < 0.001). CONCLUSION We highlight that there are grey matter changes during ECT treatment in a population with TRD compared to a healthy control population. These changes seem to occur after several rounds of ECT.
Collapse
Affiliation(s)
- Antoine Yrondi
- Service de Psychiatrie et de Psychologie Médicale, Centre Expert Dépression Résistante FondaMental, CHU Toulouse, Hospital Purpan, ToNIC, Toulouse NeuroImaging Center, Université de Toulouse, Inserm, UPS, Toulouse, France.
| | - Federico Nemmi
- ToNIC, Toulouse NeuroImaging Center, University of Toulouse, Inserm, UPS, Toulouse, France
| | - Sophie Billoux
- ToNIC, Toulouse NeuroImaging Center, University of Toulouse, Inserm, UPS, Toulouse, France; Service de medicine légale, CHU Toulouse, Toulouse, France
| | - Aurélie Giron
- ToNIC, Toulouse NeuroImaging Center, University of Toulouse, Inserm, UPS, Toulouse, France; Service de Psychiatrie et de Psychologie Médicale, CHU de Toulouse, Hospital Purpan, Toulouse, France
| | - Marie Sporer
- Service de Psychiatrie et de Psychologie Médicale, CHU de Toulouse, Hospital Purpan, Toulouse, France
| | - Simon Taib
- Service de Psychiatrie et de Psychologie Médicale, CHU Toulouse, Hospital Purpan, ToNIC, Toulouse NeuroImaging Center, Université de Toulouse, Inserm, UPS, Toulouse, France
| | - Juliette Salles
- Service de Psychiatrie et de Psychologie Médicale, CHU de Toulouse, Hospital Purpan, Toulouse, France
| | - Damien Pierre
- Service de Psychiatrie et de Psychologie Médicale, Centre Expert Dépression Résistante FondaMental, CHU Toulouse, Hospital Purpan, Toulouse, France
| | - Claire Thalamas
- CIC 1436, Service de Pharmacologie Clinique, CHU de Toulouse, INSERM, Université de Toulouse, UPS, Toulouse, France
| | - Emilie Rigal
- Department of Neurology, University Hospital of Toulouse, Toulouse, France
| | - Lola Danet
- ToNIC, Toulouse NeuroImaging Center, University of Toulouse, Inserm, UPS, Toulouse, France; Department of Neurology, University Hospital of Toulouse, Toulouse, France
| | - Jérémie Pariente
- ToNIC, Toulouse NeuroImaging Center, University of Toulouse, Inserm, UPS, Toulouse, France; Department of Neurology, University Hospital of Toulouse, Toulouse, France
| | - Laurent Schmitt
- Service de Psychiatrie et de Psychologie Médicale, Centre Expert Dépression Résistante FondaMental, CHU Toulouse, Hospital Purpan, Toulouse, France
| | - Christophe Arbus
- Service de Psychiatrie et de Psychologie Médicale, Centre Expert Dépression Résistante FondaMental, CHU Toulouse, Hospital Purpan, ToNIC, Toulouse NeuroImaging Center, Université de Toulouse, Inserm, UPS, Toulouse, France
| | - Patrice Péran
- ToNIC, Toulouse NeuroImaging Center, University of Toulouse, Inserm, UPS, Toulouse, France
| |
Collapse
|
33
|
Klok MPC, van Eijndhoven PF, Argyelan M, Schene AH, Tendolkar I. Structural brain characteristics in treatment-resistant depression: review of magnetic resonance imaging studies. BJPsych Open 2019; 5:e76. [PMID: 31474243 PMCID: PMC6737518 DOI: 10.1192/bjo.2019.58] [Citation(s) in RCA: 20] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/28/2022] Open
Abstract
BACKGROUND Major depressive disorder (MDD) has been related to structural brain characteristics that are correlated with the severity of disease. However, the correlation of these structural changes is less well clarified in treatment-resistant depression (TRD). AIMS To summarise the existing literature on structural brain characteristics in TRD to create an overview of known abnormalities of the brain in patients with MDD, to form hypotheses about the absence or existence of a common pathophysiology of MDD and TRD. METHOD A systematic search of PubMed and the Cochrane Library for studies published between 1998 and August of 2016 investigating structural brain changes in patients with TRD compared with healthy controls or patients with MDD. RESULTS Fourteen articles are included in this review. Lower grey matter volume (GMV) in the anterior cingulate cortex, right cerebellum, caudate nucleus, superior/medial frontal gyrus and hippocampus does not seem to differentiate TRD from milder forms of MDD. However, lower GMV in the putamen, inferior frontal gyrus, precentral gyrus, angular- and post-central gyri together with specific mainly parietal white matter tract changes seem to be more specific structural characteristics of TRD. CONCLUSIONS The currently available data on structural brain changes in patients with TRD compared with milder forms of MDD and healthy controls cannot sufficiently distinguish between a 'shared continuum hypothesis' and a 'different entity hypothesis'. Our review clearly suggests that although there is some overlap in affected brain regions between milder forms of MDD and TRD, TRD also comes with specific alterations in mainly the putamen and parietal white matter tracts. DECLARATION OF INTEREST None.
Collapse
Affiliation(s)
| | - Philip F van Eijndhoven
- Psychiatrist, Department of Psychiatry, Radboud University Medical Center; and Donders Institute for Brain Cognition and Behavior, Centre for Cognitive Neuroimaging, the Netherlands
| | - Miklos Argyelan
- Psychiatrist, Center for Psychiatric Neuroscience, The Feinstein Institute for Medical Research; andDivision of Psychiatry Research, Zucker Hillside Hospital, Northwell Health, USA
| | - Aart H Schene
- Professor of Psychiatry, Department of Psychiatry, Radboud University Medical Center; and Donders Institute for Brain Cognition and Behavior, Centre for Cognitive Neuroimaging, the Netherlands
| | - Indira Tendolkar
- Professor of Psychiatry, Department of Psychiatry, Radboud University Medical Center; Donders Institute for Brain Cognition and Behavior, Centre for Cognitive Neuroimaging, the Netherlands;and LVR-Hospital Essen, Department for Psychiatry and Psychotherapy, Faculty of Medicine, University of Duisburg-Essen, Germany
| |
Collapse
|
34
|
Gbyl K, Rostrup E, Raghava JM, Carlsen JF, Schmidt LS, Lindberg U, Ashraf A, Jørgensen MB, Larsson HBW, Rosenberg R, Videbech P. Cortical thickness following electroconvulsive therapy in patients with depression: a longitudinal MRI study. Acta Psychiatr Scand 2019; 140:205-216. [PMID: 31265120 DOI: 10.1111/acps.13068] [Citation(s) in RCA: 25] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 06/26/2019] [Indexed: 01/14/2023]
Abstract
OBJECTIVE Several studies have found an increase in hippocampal volume following electroconvulsive therapy (ECT), but the effect on cortical thickness has been less investigated. We aimed to examine the effects of ECT on cortical thickness and their associations with clinical outcome. METHOD Using 3 Tesla MRI scanner, we obtained T1-weighted brain images of 18 severely depressed patients at three time points: before, right after and 6 months after a series of ECT. The thickness of 68 cortical regions was extracted using Free Surfer, and Linear Mixed Model was used to analyze the longitudinal changes. RESULTS We found significant increases in cortical thickness of 26 regions right after a series of ECT, mainly within the frontal, temporal and insular cortex. The thickness returned to the baseline values at 6-month follow-up. We detected no significant decreases in cortical thickness. The increase in the thickness of the right lateral orbitofrontal cortex was associated with a greater antidepressant effect, r = 0.75, P = 0.0005. None of the cortical regions showed any associations with cognitive side effects. CONCLUSION The increases in cortical thickness induced by ECT are transient. Further multimodal MRI studies should examine the neural correlates of these increases and their relationship with the antidepressant effect.
Collapse
Affiliation(s)
- K Gbyl
- Centre for Neuropsychiatric Depression Research, Mental Health Centre Glostrup, The University of Copenhagen, Glostrup, Denmark
| | - E Rostrup
- Centre for Neuropsychiatric Schizophrenia Research, Centre for Clinical Intervention and Neuropsychiatric Schizophrenia Research, Mental Health Centre Glostrup, The University of Copenhagen, Glostrup, Denmark
| | - J M Raghava
- Centre for Neuropsychiatric Schizophrenia Research, Centre for Clinical Intervention and Neuropsychiatric Schizophrenia Research, Mental Health Centre Glostrup, The University of Copenhagen, Glostrup, Denmark.,Functional Imaging Unit, Department of Clinical Physiology, Nuclear Medicine and PET, Rigshospitalet Glostrup, The University of Copenhagen, Glostrup, Denmark
| | - J F Carlsen
- Functional Imaging Unit, Department of Clinical Physiology, Nuclear Medicine and PET, Rigshospitalet Glostrup, The University of Copenhagen, Glostrup, Denmark
| | - L S Schmidt
- Copenhagen Affective Disorder Research Centre (CADIC), Mental Health Centre Copenhagen, Rigshospitalet, The University of Copenhagen, Copenhagen, Denmark
| | - U Lindberg
- Functional Imaging Unit, Department of Clinical Physiology, Nuclear Medicine and PET, Rigshospitalet Glostrup, The University of Copenhagen, Glostrup, Denmark
| | - A Ashraf
- Mental Health Centre Glostrup, The University of Copenhagen, Glostrup, Denmark
| | - M B Jørgensen
- Copenhagen Affective Disorder Research Centre (CADIC), Mental Health Centre Copenhagen, Rigshospitalet, The University of Copenhagen, Copenhagen, Denmark
| | - H B W Larsson
- Functional Imaging Unit, Department of Clinical Physiology, Nuclear Medicine and PET, Rigshospitalet Glostrup, The University of Copenhagen, Glostrup, Denmark
| | - R Rosenberg
- Mental Health Centre Amager, The University of Copenhagen, Copenhagen, Denmark
| | - P Videbech
- Centre for Neuropsychiatric Depression Research, Mental Health Centre Glostrup, The University of Copenhagen, Glostrup, Denmark
| |
Collapse
|
35
|
Xu H, Zhao T, Luo F, Zheng Y. Dissociative changes in gray matter volume following electroconvulsive therapy in major depressive disorder: a longitudinal structural magnetic resonance imaging study. Neuroradiology 2019; 61:1297-1308. [DOI: 10.1007/s00234-019-02276-z] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/24/2019] [Accepted: 07/30/2019] [Indexed: 12/28/2022]
|
36
|
Cerebral cortical thickness after treatment with desvenlafaxine succinate in major depressive disorder. Neuroreport 2019; 30:378-382. [DOI: 10.1097/wnr.0000000000001211] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
|
37
|
Mohn C, Rund BR. Neurognitive function and symptom remission 2 years after ECT in major depressive disorders. J Affect Disord 2019; 246:368-375. [PMID: 30597298 DOI: 10.1016/j.jad.2018.12.083] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/01/2018] [Revised: 11/19/2018] [Accepted: 12/24/2018] [Indexed: 12/13/2022]
Abstract
BACKGROUND There is a lack of knowledge of possible cognitive side effects of electroconvulsive therapy (ECT) beyond the first few months after treatment. We aim to describe cognitive effects and symptom remission 2 years after ECT in major depressive disorders. METHOD Twenty-seven depression patients were assessed with the MATRICS Consensus Cognitive Battery (MCCB) and the Everyday Memory Questionnaire (EMQ) before and 2 years after ECT. Their scores were compared with those of healthy matches. Depression and remission status were assessed with the Montgomery-Åsberg Depression Rating Scale (MADRS). Main statistical analyses were ANOVAs and linear mixed model tests. RESULTS At baseline, the patient group was significantly impaired on 7 of 10 cognitive tests compared to the control group. Two years later, this gap was reduced to impairment on 5 of 10 tests. Within the patient group, neurocognitive function either increased significantly from baseline to follow-up, or there was no change. Two years after ECT, 62.9% of the patients were in remission. Those in remission reported better subjective memory function, but displayed no different neuropsychological test results, compared to the non-remitters. LIMITATIONS Major limitations were low sample size and lack of uniform ECT procedure. CONCLUSIONS We found improved neurocognitive function 2 years after ECT. This effect occurred regardless of remission status, suggesting that ECT induces unique cognitive boosting processes.
Collapse
Affiliation(s)
- Christine Mohn
- Research Department, Vestre Viken Hospital Trust, Wergelands gate 10, 3004 Drammen, Norway.
| | - Bjørn Rishovd Rund
- Research Department, Vestre Viken Hospital Trust, Wergelands gate 10, 3004 Drammen, Norway; Department of Psychology, University of Oslo, Oslo, Norway
| |
Collapse
|
38
|
Xu J, Wang J, Bai T, Zhang X, Li T, Hu Q, Li H, Zhang L, Wei Q, Tian Y, Wang K. Electroconvulsive Therapy Induces Cortical Morphological Alterations in Major Depressive Disorder Revealed with Surface-Based Morphometry Analysis. Int J Neural Syst 2019; 29:1950005. [PMID: 31387489 DOI: 10.1142/s0129065719500059] [Citation(s) in RCA: 24] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/18/2022]
Abstract
Although electroconvulsive therapy (ECT) is one of the most effective treatments for major depressive disorder (MDD), the mechanism underlying the therapeutic efficacy and side effects of ECT remains poorly understood. Here, we investigated alterations in the cortical morphological measurements including cortical thickness (CT), surface area (SA), and local gyrification index (LGI) in 23 MDD patients before and after ECT. Furthermore, multivariate pattern analysis using linear support vector machine (SVM) was applied to investigate whether the changed morphological measurements can be effective indicators for therapeutic efficacy of ECT. Surface-based morphometry (SBM) analysis found significantly increased vertex-wise and regional cortical thickness (CT) and surface area (SA) in widespread regions, mainly located in the left insula (INS) and left fusiform gyrus, as well as hypergyrification in the left middle temporal gyrus (MTG) in MDD patients after ECT. Partial correlational analyses identified associations between the morphological properties and depressive symptom scores and impaired memory scores. Moreover, SVM result showed that the changed morphological measurements were effective to classify the MDD patients before and after ECT. Our findings suggested that ECT may enhance cortical neuroplasticity to facilitate neurogenesis to remit depressive symptoms and to impair delayed memory. These findings indicated that the cortical morphometry is a good index for therapeutic efficacy of ECT.
Collapse
Affiliation(s)
- Jinping Xu
- 1Institute of Biomedical and Health Engineering, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, P. R. China.,2University of Chinese Academy of Sciences, Beijing 100049, P. R. China
| | - Jiaojian Wang
- 3The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Lab for Neuroinformation, University of Electronic Science and Technology of China, Chengdu 625014, P. R. China
| | - Tongjian Bai
- 4Department of Neurology, The First Hospital of Anhui Medical University, Hefei 230022, P. R. China
| | - Xiaodong Zhang
- 1Institute of Biomedical and Health Engineering, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, P. R. China
| | - Tian Li
- 1Institute of Biomedical and Health Engineering, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, P. R. China
| | - Qingmao Hu
- 1Institute of Biomedical and Health Engineering, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, P. R. China.,5CAS Key Laboratory of Human-Machine Intelligence-Synergy Systems, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, P. R. China
| | - Hongming Li
- 6Center for Biomedical Image Computing and Analytics, Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Li Zhang
- 7Anhui Mental Health Center, Hefei 230022, P. R. China
| | - Qiang Wei
- 4Department of Neurology, The First Hospital of Anhui Medical University, Hefei 230022, P. R. China
| | - Yanghua Tian
- 4Department of Neurology, The First Hospital of Anhui Medical University, Hefei 230022, P. R. China.,8Department of Neurology, Shannan People's Hospital, Shannan, 856000, P. R. China
| | - Kai Wang
- 4Department of Neurology, The First Hospital of Anhui Medical University, Hefei 230022, P. R. China.,9Department of Medical Psychology, Anhui Medical University, Hefei 230022, P. R. China.,10Anhui Province Key Laboratory of Cognition and Neuropsychiatric Disorders, Hefei 230022, P. R. China.,11Collaborative Innovation Center for Neuropsychiatric Disorders and Mental Health, Hefei 230022, P. R. China
| |
Collapse
|
39
|
Suh JS, Schneider MA, Minuzzi L, MacQueen GM, Strother SC, Kennedy SH, Frey BN. Cortical thickness in major depressive disorder: A systematic review and meta-analysis. Prog Neuropsychopharmacol Biol Psychiatry 2019; 88:287-302. [PMID: 30118825 DOI: 10.1016/j.pnpbp.2018.08.008] [Citation(s) in RCA: 99] [Impact Index Per Article: 19.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/03/2018] [Revised: 07/30/2018] [Accepted: 08/13/2018] [Indexed: 01/10/2023]
Abstract
Neuroimaging studies assessing neurobiological differences between patients with major depressive disorder (MDD) and healthy controls (HC) are often hindered by small sample sizes and heterogeneity of the patient sample. We performed a comprehensive literature search for studies assessing cortical thickness between patient and control groups, including studies investigating treatment effects on cortical thickness. We identified 34 studies meeting criteria for the systematic review and used Seed-based d Mapping to meta-analyze 24 of those that met additional criteria. Analysis of the full sample of subjects (MDD = 1073; HC = 936) revealed significant thinning in the MDD group in the bilateral orbitofrontal gyrus (BA 11), left pars opercularis (BA 45) and left calcarine fissure/lingual gyrus (BA 17), as well as an area of significant thickening in the left supramarginal gyrus (BA 40). These results support other imaging modalities that report disruptions in various frontal and temporal areas in MDD and identify additional areas in all major cerebral lobes likely to be significant when parsing for biomarkers of treatment or relapse.
Collapse
Affiliation(s)
- Jee Su Suh
- MiNDS Neuroscience Graduate Program, McMaster University, Hamilton, ON, Canada; Mood Disorders Program and Women's Health Concerns Clinic, St. Joseph's Healthcare, Hamilton, ON, Canada
| | - Maiko Abel Schneider
- Department of Psychiatry, Federal University of Rio Grande do Sul, Porto Alegre, RS, Brazil
| | - Luciano Minuzzi
- MiNDS Neuroscience Graduate Program, McMaster University, Hamilton, ON, Canada; Mood Disorders Program and Women's Health Concerns Clinic, St. Joseph's Healthcare, Hamilton, ON, Canada; Department of Psychiatry and Behavioural Neurosciences, McMaster University, Hamilton, ON, Canada
| | - Glenda M MacQueen
- Department of Psychiatry, Mathison Centre for Mental Health Research and Education, Hotchkiss Brain Institute, Cumming School of Medicine, University of Calgary, AB, Canada
| | - Stephen C Strother
- Rotman Research Institute, Baycrest and Department of Medical Biophysics, University of Toronto, Toronto, ON, Canada
| | - Sidney H Kennedy
- Canadian Biomarker Integration Network for Depression, St. Michael's Hospital, Toronto, ON, Canada; Department of Psychiatry, University of Toronto, Toronto, ON, Canada; Arthur Sommer Rotenberg Chair in Suicide & Depression Studies, St. Michael's Hospital, Toronto, ON, Canada
| | - Benicio N Frey
- MiNDS Neuroscience Graduate Program, McMaster University, Hamilton, ON, Canada; Mood Disorders Program and Women's Health Concerns Clinic, St. Joseph's Healthcare, Hamilton, ON, Canada; Department of Psychiatry and Behavioural Neurosciences, McMaster University, Hamilton, ON, Canada.
| |
Collapse
|
40
|
Gbyl K, Videbech P. Electroconvulsive therapy increases brain volume in major depression: a systematic review and meta-analysis. Acta Psychiatr Scand 2018; 138:180-195. [PMID: 29707778 DOI: 10.1111/acps.12884] [Citation(s) in RCA: 85] [Impact Index Per Article: 14.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 03/08/2018] [Indexed: 12/12/2022]
Abstract
OBJECTIVE The main purpose of this review was to synthesise evidence on ECT's effects on brain's structure. METHOD A systematic literature review of longitudinal studies of depressed patients treated with ECT using magnetic resonance imaging (MRI) and meta-analysis of ECT's effect on hippocampal volume. RESULTS Thirty-two studies with 467 patients and 285 controls were included. The MRI studies did not find any evidence of ECT-related brain damage. All but one of the newer MRI volumetric studies found ECT-induced volume increases in certain brain areas, most consistently in hippocampus. Meta-analysis of effect of ECT on hippocampal volume yielded pooled effect size: g = 0.39 (95% CI = 0.18-0.61) for the right hippocampus and g = 0.31 (95% CI = 0.09-0.53) for the left. The DTI studies point to an ECT-induced increase in the integrity of white matter pathways in the frontal and temporal lobes. The results of correlations between volume increases and treatment efficacy were inconsistent. CONCLUSION The MRI studies do not support the hypothesis that ECT causes brain damage; on the contrary, the treatment induces volume increases in fronto-limbic areas. Further studies should explore the relationship between these increases and treatment effect and cognitive side effects.
Collapse
Affiliation(s)
- K Gbyl
- Centre for Neuropsychiatric Depression Research, Mental Health Centre Glostrup, Glostrup, Denmark
| | - P Videbech
- Centre for Neuropsychiatric Depression Research, Mental Health Centre Glostrup, Glostrup, Denmark
| |
Collapse
|
41
|
Srienc A, Narang P, Sarai S, Xiong Y, Lippmann S. Is Electroconvulsive Therapy a Treatment for Depression Following Traumatic Brain Injury? INNOVATIONS IN CLINICAL NEUROSCIENCE 2018; 15:43-46. [PMID: 29707426 PMCID: PMC5906090] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 06/08/2023]
Abstract
Traumatic brain injury (TBI) can be caused by blunt or penetrating injury to the head. The pathophysiological evolution of TBI involves complex biochemical and genetic changes. Common sequelae of TBI include seizures and psychiatric disorders, particularly depression. In considering pharmacologic interventions for treating post-TBI depression, it is important to remember that TBI patients have a higher risk of seizures; therefore, the benefits of prescribing medications that lower the seizure threshold need to be weighed against the risk of seizures. When post-TBI depression is refractory to pharmacotherapy, electroconvulsive therapy (ECT) could provide an alternative therapeutic strategy. Data remain sparse on using ECT in this seizure-prone population, but three case reports demonstrated good outcomes. Currently, not enough evidence exists to provide clinical recommendations for using ECT for treating post-TBI depression, and more research is needed to generate guidelines on how best to treat depression in TBI patients. However, the preliminary data on using ECT in patients with TBI are promising. If proven safe, ECT could be a powerful tool to treat post-TBI depression.
Collapse
Affiliation(s)
- Anja Srienc
- Dr. Srienc is with the Medical Scientist Training Program & Graduate Program in Neuroscience at the University of Minnesota in Minneapolis-St. Paul, Minnesota
- Dr. Narang is Assistant Professor at the University of Minnesota, and Staff Physician, Lead ECT Psychiatrist at the Regions Hospital in Minneapolis-St. Paul, Minnesota
- Dr. Sarai is Research Scholar at the University of Louisville School of Medicine in Louisville, Kentucky
- Dr. Xiong is Psychiatry Resident, HCMC-Regions Psychiatry Residency Program in Minneapolis, Minnesota
- Dr. Lippmann is Professor of Psychiatry at the University of Louisville School of Medicine in Louisville, Kentucky
| | - Puneet Narang
- Dr. Srienc is with the Medical Scientist Training Program & Graduate Program in Neuroscience at the University of Minnesota in Minneapolis-St. Paul, Minnesota
- Dr. Narang is Assistant Professor at the University of Minnesota, and Staff Physician, Lead ECT Psychiatrist at the Regions Hospital in Minneapolis-St. Paul, Minnesota
- Dr. Sarai is Research Scholar at the University of Louisville School of Medicine in Louisville, Kentucky
- Dr. Xiong is Psychiatry Resident, HCMC-Regions Psychiatry Residency Program in Minneapolis, Minnesota
- Dr. Lippmann is Professor of Psychiatry at the University of Louisville School of Medicine in Louisville, Kentucky
| | - Simrat Sarai
- Dr. Srienc is with the Medical Scientist Training Program & Graduate Program in Neuroscience at the University of Minnesota in Minneapolis-St. Paul, Minnesota
- Dr. Narang is Assistant Professor at the University of Minnesota, and Staff Physician, Lead ECT Psychiatrist at the Regions Hospital in Minneapolis-St. Paul, Minnesota
- Dr. Sarai is Research Scholar at the University of Louisville School of Medicine in Louisville, Kentucky
- Dr. Xiong is Psychiatry Resident, HCMC-Regions Psychiatry Residency Program in Minneapolis, Minnesota
- Dr. Lippmann is Professor of Psychiatry at the University of Louisville School of Medicine in Louisville, Kentucky
| | - Yee Xiong
- Dr. Srienc is with the Medical Scientist Training Program & Graduate Program in Neuroscience at the University of Minnesota in Minneapolis-St. Paul, Minnesota
- Dr. Narang is Assistant Professor at the University of Minnesota, and Staff Physician, Lead ECT Psychiatrist at the Regions Hospital in Minneapolis-St. Paul, Minnesota
- Dr. Sarai is Research Scholar at the University of Louisville School of Medicine in Louisville, Kentucky
- Dr. Xiong is Psychiatry Resident, HCMC-Regions Psychiatry Residency Program in Minneapolis, Minnesota
- Dr. Lippmann is Professor of Psychiatry at the University of Louisville School of Medicine in Louisville, Kentucky
| | - Steven Lippmann
- Dr. Srienc is with the Medical Scientist Training Program & Graduate Program in Neuroscience at the University of Minnesota in Minneapolis-St. Paul, Minnesota
- Dr. Narang is Assistant Professor at the University of Minnesota, and Staff Physician, Lead ECT Psychiatrist at the Regions Hospital in Minneapolis-St. Paul, Minnesota
- Dr. Sarai is Research Scholar at the University of Louisville School of Medicine in Louisville, Kentucky
- Dr. Xiong is Psychiatry Resident, HCMC-Regions Psychiatry Residency Program in Minneapolis, Minnesota
- Dr. Lippmann is Professor of Psychiatry at the University of Louisville School of Medicine in Louisville, Kentucky
| |
Collapse
|
42
|
Han K, Martinez D, Chapman SB, Krawczyk DC. Neural correlates of reduced depressive symptoms following cognitive training for chronic traumatic brain injury. Hum Brain Mapp 2018; 39:2955-2971. [PMID: 29573026 PMCID: PMC6055759 DOI: 10.1002/hbm.24052] [Citation(s) in RCA: 22] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/27/2017] [Revised: 02/12/2018] [Accepted: 03/09/2018] [Indexed: 12/24/2022] Open
Abstract
Depression is the most frequent comorbid psychiatric condition among individuals with traumatic brain injury (TBI). Yet, little is known about changes in the brain associated with reduced depressive symptoms following rehabilitation for TBI. We identified whether cognitive training alleviates comorbid depressive symptoms in chronic TBI (>6 months post-injury) as a secondary effect. Further, we elucidated neural correlates of alleviated depressive symptoms following cognitive training. A total of seventy-nine individuals with chronic TBI (53 depressed and 26 non-depressed individuals, measured using the Beck Depressive Inventory [BDI]), underwent either strategy- or information-based cognitive training in a small group for 8 weeks. We measured psychological functioning scores, cortical thickness, and resting-state functional connectivity (rsFC) for these individuals before training, immediately post-training, and 3 months post-training. After confirming that changes in BDI scores were independent of training group affiliation, we identified that the depressive-symptoms group showed reductions in BDI scores over time relative to the non-depressed TBI controls (p < .01). Within the depressive-symptoms group, reduced BDI scores was associated with improvements in scores for post-traumatic stress disorder, TBI symptom awareness, and functional status (p < .00625), increases in cortical thickness in four regions within the right prefrontal cortex (pvertex < .01, pcluster <.05), and decreases in rsFC with each of these four prefrontal regions (pvertex < .01, pcluster < .0125). Overall, these findings suggest that cognitive training can reduce depressive symptoms in TBI even when the training does not directly target psychiatric symptoms. Importantly, cortical thickness and brain connectivity may offer promising neuroimaging markers of training-induced improvement in mental health status in TBI.
Collapse
Affiliation(s)
- Kihwan Han
- Center for BrainHealth, School of Behavioral and Brain Sciences, The University of Texas at Dallas, Dallas, Texas
| | - David Martinez
- Center for BrainHealth, School of Behavioral and Brain Sciences, The University of Texas at Dallas, Dallas, Texas
| | - Sandra B Chapman
- Center for BrainHealth, School of Behavioral and Brain Sciences, The University of Texas at Dallas, Dallas, Texas
| | - Daniel C Krawczyk
- Center for BrainHealth, School of Behavioral and Brain Sciences, The University of Texas at Dallas, Dallas, Texas.,Department of Psychiatry, University of Texas Southwestern Medical Center, Dallas, Texas
| |
Collapse
|
43
|
The Effects of Electroconvulsive Therapy Augmentation of Antipsychotic Treatment on Cognitive Functions in Patients With Treatment-Resistant Schizophrenia. J ECT 2018; 34:31-34. [PMID: 29053485 DOI: 10.1097/yct.0000000000000463] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
Abstract
OBJECTIVES Treatment-resistant schizophrenia (TRS) continues to be a challenge in modern psychiatry. Most of these patients have severe neurocognitive deficits. Electroconvulsive therapy (ECT) has proved effective and safe in the treatment of TRS, but because of potential neurocognitive adverse effects, it is associated with many controversies. The aim of this prospective, open study was to evaluate the effects of ECT augmentation of antipsychotics on cognitive functions in patients with TRS. METHODS Overall, 31 inpatients with TRS were included, 16 men, with an average (SD) age of 34.1 (11.187) years. The evaluation of clinical symptoms and global impression, as well as verbal memory, visual memory, working memory, psychomotor speed, verbal fluency, and executive functioning, was conducted before and after the completion of ECT treatment. RESULTS We ran a series of paired-samples t tests, and the Bonferroni adjustment for multiple comparisons reduced the significance level to P = 0.004. The neurocognitive domains that demonstrated statistically significant improvement were immediate and delayed verbal memory, and executive functioning, whereas statistical trend was observed for visual memory and psychomotor speed. None of the neurocognitive functions exhibited significant deterioration after the ECT treatment. Electroconvulsive therapy was effective in reducing general symptoms of schizophrenia, resulting in more than 30% decrease in the overall symptom severity measured by the Positive and Negative Syndrome Scale. CONCLUSIONS Notwithstanding some limitations of this study, the combination of ECT and antipsychotics has improved several neurocognitive domains, without evidence of worsening of any cognitive functions.
Collapse
|
44
|
Pinchotti DM, Abbott C, Quinn DK. Targeted Electroconvulsive Therapy for Super Refractory Status Epilepticus: A Case Report and Literature Review. PSYCHOSOMATICS 2017; 59:302-305. [PMID: 29150213 DOI: 10.1016/j.psym.2017.10.004] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/27/2017] [Accepted: 10/10/2017] [Indexed: 10/18/2022]
Affiliation(s)
- Dana M Pinchotti
- Department of Psychiatry, University of New Mexico, Albuquerque, NM.
| | - Christopher Abbott
- Department of Psychiatry, University of New Mexico, Albuquerque, NM; R01: ECT current amplitude and medial temporal lobe engagement, 1R01MH111826 MRN COBRE II Project 5: Multimodal Imaging of Neuropsychiatric Disorders (MIND): Mechanisms & Biomarkers (COBRE II), 5P20GM103472, Albuquerque, NM
| | - Davin K Quinn
- Department of Psychiatry, University of New Mexico, Albuquerque, NM; 2P20-GM109089-O1A1, The UNM Center for Brain Recovery and Repair, Albuquerque, NM
| |
Collapse
|
45
|
Abstract
Although a typical course of electroconvulsive therapy (ECT) consists of 6 to 12 treatments, remission of depression has rarely been reported after a single treatment. We present the case of a 25-year-old woman hospitalized for a major depressive episode and suicidality, in the context of bipolar 1 disorder, whose symptoms fully remitted with 1 ECT. We also review the literature on rapid response to ECT.
Collapse
|
46
|
Zhao Y, Chen L, Zhang W, Xiao Y, Shah C, Zhu H, Yuan M, Sun H, Yue Q, Jia Z, Zhang W, Kuang W, Gong Q, Lui S. Gray Matter Abnormalities in Non-comorbid Medication-naive Patients with Major Depressive Disorder or Social Anxiety Disorder. EBioMedicine 2017. [PMID: 28633986 PMCID: PMC5514428 DOI: 10.1016/j.ebiom.2017.06.013] [Citation(s) in RCA: 85] [Impact Index Per Article: 12.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/05/2023] Open
Abstract
Background An overlap of clinical symptoms between major depressive disorder (MDD) and social anxiety disorder (SAD) suggests that the two disorders exhibit similar brain mechanisms. However, few studies have directly compared the brain structures of the two disorders. The aim of this study was to assess the gray matter volume (GMV) and cortical thickness alterations between non-comorbid medication-naive MDD patients and SAD patients. Methods High-resolution T1-weighted images were acquired from 37 non-comorbid MDD patients, 24 non-comorbid SAD patients and 41 healthy controls (HCs). Voxel-based morphometry analysis of the GMV (corrected with a false discovery rate of p < 0.001) and vertex-based analysis of cortical thickness (corrected with a clusterwise probability of p < 0.001) were performed, and group differences were compared by ANOVA followed by post hoc tests. Outcomes Relative to the HCs, both the MDD patients and SAD patients showed the following results: GMV reductions in the bilateral orbital frontal cortex (OFC), putamen, and thalamus; cortical thickening in the bilateral medial prefrontal cortex, posterior dorsolateral prefrontal cortex, insular cortex, left temporal pole, and right superior parietal cortex; and cortical thinning in the left lateral OFC and bilateral rostral middle frontal cortex. In addition, MDD patients specifically showed a greater thickness in the left fusiform gyrus and right lateral occipital cortex and a thinner thickness in the bilateral lingual and left cuneus. SAD patients specifically showed a thinner cortical thickness in the right precentral cortex. Interpretation Our results indicate that MDD and SAD share common patterns of gray matter abnormalities in the orbitofrontal-striatal-thalamic circuit, salience network and dorsal attention network. These consistent structural differences in the two patient groups may contribute to the broad spectrum of emotional, cognitive and behavioral disturbances observed in MDD patients and SAD patients. In addition, we found disorder-specific involvement of the visual processing regions in MDD and the precentral cortex in SAD. These findings provide new evidence regarding the shared and specific neuropathological mechanisms that underlie MDD and SAD. MDD and SAD share common gray matter abnormalities in the orbitofrontal-striatal-thalamic circuit, salience and dorsal attention network. MDD patients show disorder-specific involvement of the visual processing regions. SAD patients show disorder-specific involvement of the precentral cortex.
An overlap of clinical symptoms between major depressive disorder (MDD) and social anxiety disorder (SAD) suggests similar brain mechanisms for the two disorders. However, few studies have directly compared the brain structures of the two disorders. The aim of this study was to assess gray matter volume and cortical thickness alterations between non-comorbid medication-naive MDD patients and SAD patients. We found that MDD and SAD shared a common pattern of gray matter abnormalities in the orbitofrontal-striatal-thalamic circuit, salience network and dorsal attention network. MDD patients showed disorder-specific involvement of the visual processing regions. SAD patients showed disorder-specific involvement of the precentral cortex.
Collapse
Affiliation(s)
- Youjin Zhao
- Huaxi MR Research Center (HMRRC), Department of Radiology, West China Hospital of Sichuan University, Chengdu, PR China
| | - Lizhou Chen
- Huaxi MR Research Center (HMRRC), Department of Radiology, West China Hospital of Sichuan University, Chengdu, PR China
| | - Wenjing Zhang
- Huaxi MR Research Center (HMRRC), Department of Radiology, West China Hospital of Sichuan University, Chengdu, PR China
| | - Yuan Xiao
- Huaxi MR Research Center (HMRRC), Department of Radiology, West China Hospital of Sichuan University, Chengdu, PR China
| | - Chandan Shah
- Huaxi MR Research Center (HMRRC), Department of Radiology, West China Hospital of Sichuan University, Chengdu, PR China
| | - Hongru Zhu
- Mental Health Center, West China Hospital of Sichuan University, Chengdu, PR China
| | - Minlan Yuan
- Mental Health Center, West China Hospital of Sichuan University, Chengdu, PR China
| | - Huaiqiang Sun
- Huaxi MR Research Center (HMRRC), Department of Radiology, West China Hospital of Sichuan University, Chengdu, PR China
| | - Qiang Yue
- Huaxi MR Research Center (HMRRC), Department of Radiology, West China Hospital of Sichuan University, Chengdu, PR China
| | - Zhiyun Jia
- Huaxi MR Research Center (HMRRC), Department of Radiology, West China Hospital of Sichuan University, Chengdu, PR China
| | - Wei Zhang
- Mental Health Center, West China Hospital of Sichuan University, Chengdu, PR China
| | - Weihong Kuang
- Mental Health Center, West China Hospital of Sichuan University, Chengdu, PR China
| | - Qiyong Gong
- Huaxi MR Research Center (HMRRC), Department of Radiology, West China Hospital of Sichuan University, Chengdu, PR China.
| | - Su Lui
- Huaxi MR Research Center (HMRRC), Department of Radiology, West China Hospital of Sichuan University, Chengdu, PR China.
| |
Collapse
|
47
|
Igata R, Katsuki A, Kakeda S, Watanabe K, Igata N, Hori H, Konishi Y, Atake K, Kawasaki Y, Korogi Y, Yoshimura R. PCLO rs2522833-mediated gray matter volume reduction in patients with drug-naive, first-episode major depressive disorder. Transl Psychiatry 2017; 7:e1140. [PMID: 28556829 PMCID: PMC5534936 DOI: 10.1038/tp.2017.100] [Citation(s) in RCA: 36] [Impact Index Per Article: 5.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/20/2016] [Revised: 01/27/2017] [Accepted: 03/16/2017] [Indexed: 01/02/2023] Open
Abstract
Major depressive disorder (MDD) has been linked to differences in the volume of certain areas of the brain and to variants in the piccolo presynaptic cytomatrix protein (PCLO), but the relationship between PCLO and brain morphology has not been studied. A single-nucleotide polymorphism (SNP) in PCLO, rs2522833, is thought to affect protein stability and the activity of the hypothalamic-pituitary-adrenal axis. We investigated the relationship between cortical volume and this SNP in first-episode, drug-naive patients with MDD or healthy control subjects. Seventy-eight participants, including 30 patients with MDD and 48 healthy control subjects, were recruited via interview. PCLO rs2522833 genotyping and plasma cortisol assays were performed, and gray matter volume was estimated using structural magnetic resonance images. Among the individuals carrying the C-allele of PCLO rs2522833, the volume of the left temporal pole was significantly smaller in those with MDD than in healthy controls (family-wise error-corrected, P=0.003). No differences were detected in other brain regions. In addition, the C-carriers showed a larger volume reduction in the left temporal pole than those in the individuals with A/A genotype (P=0.0099). Plasma cortisol levels were significantly higher in MDD-affected C-carriers than in the healthy control C-carriers (12.76±6.10 vs 9.31±3.60 nm, P=0.045). We conclude that PCLO SNP rs2522833 is associated with a gray matter volume reduction in the left temporal pole in drug-naive, first-episode patients with MDD carrying the C-allele.
Collapse
Affiliation(s)
- R Igata
- Department of Psychiatry, University of Occupational and Environmental Health, Kitakyushu, Japan
| | - A Katsuki
- Department of Psychiatry, University of Occupational and Environmental Health, Kitakyushu, Japan
| | - S Kakeda
- Department of Radiology, University of Occupational and Environmental Health, Kitakyushu, Japan
| | - K Watanabe
- Department of Radiology, University of Occupational and Environmental Health, Kitakyushu, Japan
| | - N Igata
- Department of Radiology, University of Occupational and Environmental Health, Kitakyushu, Japan
| | - H Hori
- Department of Psychiatry, University of Occupational and Environmental Health, Kitakyushu, Japan
| | - Y Konishi
- Department of Psychiatry, University of Occupational and Environmental Health, Kitakyushu, Japan
| | - K Atake
- Department of Psychiatry, University of Occupational and Environmental Health, Kitakyushu, Japan
| | - Y Kawasaki
- Department of Environmental Oncology, Institute of Ecological Sciences, University of Occupational and Environmental Health, Kitakyushu, Japan
| | - Y Korogi
- Department of Radiology, University of Occupational and Environmental Health, Kitakyushu, Japan
| | - R Yoshimura
- Department of Psychiatry, University of Occupational and Environmental Health, Kitakyushu, Japan,Department of Psychiatry, University of Occupational and Environmental Health, 1-1 Iseigaoka, Yahatanishi-ku, Kitakyushu 8078555, Fukuoka, Japan. E-mail:
| |
Collapse
|
48
|
Oltedal L, Bartsch H, Sørhaug OJE, Kessler U, Abbott C, Dols A, Stek ML, Ersland L, Emsell L, van Eijndhoven P, Argyelan M, Tendolkar I, Nordanskog P, Hamilton P, Jorgensen MB, Sommer IE, Heringa SM, Draganski B, Redlich R, Dannlowski U, Kugel H, Bouckaert F, Sienaert P, Anand A, Espinoza R, Narr KL, Holland D, Dale AM, Oedegaard KJ. The Global ECT-MRI Research Collaboration (GEMRIC): Establishing a multi-site investigation of the neural mechanisms underlying response to electroconvulsive therapy. NEUROIMAGE-CLINICAL 2017; 14:422-432. [PMID: 28275543 PMCID: PMC5328749 DOI: 10.1016/j.nicl.2017.02.009] [Citation(s) in RCA: 52] [Impact Index Per Article: 7.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 12/15/2016] [Revised: 02/09/2017] [Accepted: 02/10/2017] [Indexed: 12/12/2022]
Abstract
Major depression, currently the world's primary cause of disability, leads to profound personal suffering and increased risk of suicide. Unfortunately, the success of antidepressant treatment varies amongst individuals and can take weeks to months in those who respond. Electroconvulsive therapy (ECT), generally prescribed for the most severely depressed and when standard treatments fail, produces a more rapid response and remains the most effective intervention for severe depression. Exploring the neurobiological effects of ECT is thus an ideal approach to better understand the mechanisms of successful therapeutic response. Though several recent neuroimaging studies show structural and functional changes associated with ECT, not all brain changes associate with clinical outcome. Larger studies that can address individual differences in clinical and treatment parameters may better target biological factors relating to or predictive of ECT-related therapeutic response. We have thus formed the Global ECT-MRI Research Collaboration (GEMRIC) that aims to combine longitudinal neuroimaging as well as clinical, behavioral and other physiological data across multiple independent sites. Here, we summarize the ECT sample characteristics from currently participating sites, and the common data-repository and standardized image analysis pipeline developed for this initiative. This includes data harmonization across sites and MRI platforms, and a method for obtaining unbiased estimates of structural change based on longitudinal measurements with serial MRI scans. The optimized analysis pipeline, together with the large and heterogeneous combined GEMRIC dataset, will provide new opportunities to elucidate the mechanisms of ECT response and the factors mediating and predictive of clinical outcomes, which may ultimately lead to more effective personalized treatment approaches. A global collaboration for longitudinal neuroimaging of ECT was established. A secure data portal with individual-patient level data. The feasibility of a standardized image analysis pipeline is demonstrated.
Collapse
Affiliation(s)
- Leif Oltedal
- Department of Clinical Medicine, University of Bergen, Bergen, Norway; Center for Multimodal Imaging and Genetics, University of California, San Diego, La Jolla, CA, USA; Department of Radiology, University of California, San Diego, La Jolla, CA, USA; Department of Radiology, Haukeland University Hospital, Bergen, Norway
| | - Hauke Bartsch
- Center for Multimodal Imaging and Genetics, University of California, San Diego, La Jolla, CA, USA; Department of Radiology, University of California, San Diego, La Jolla, CA, USA
| | | | - Ute Kessler
- Department of Clinical Medicine, University of Bergen, Bergen, Norway; Division of Psychiatry, Haukeland University Hospital, Bergen, Norway
| | - Christopher Abbott
- Department of Psychiatry, University of New Mexico School of Medicine, Albuquerque, USA
| | | | - Max L Stek
- VUmc Amsterdam/GGZinGeest, Amsterdam, Netherlands
| | - Lars Ersland
- Department of Clinical Engineering, Haukeland University Hospital, Bergen, Norway
| | - Louise Emsell
- KU Leuven, University Psychiatric Center KU Leuven, Leuven, Belgium
| | - Philip van Eijndhoven
- Donders Institute for Brain, Cognition and Behavior, Department of Psychiatry, Nijmegen, Netherlands
| | - Miklos Argyelan
- Center for Psychiatric Neuroscience, Feinstein Institute for Medical Research, New York, USA
| | - Indira Tendolkar
- Donders Institute for Brain, Cognition and Behavior, Department of Psychiatry, Nijmegen, Netherlands
| | - Pia Nordanskog
- Center for Social and Affective Neuroscience, Department of Clinical and Experimental Medicine, Faculty of Health Sciences, Linköping University, Linköping, Sweden
| | - Paul Hamilton
- Center for Social and Affective Neuroscience, Department of Clinical and Experimental Medicine, Faculty of Health Sciences, Linköping University, Linköping, Sweden
| | | | - Iris E Sommer
- Brain Center Rudolf Magnus, University Medical Center, Utrecht, Utrecht, Netherlands
| | - Sophie M Heringa
- Brain Center Rudolf Magnus, University Medical Center, Utrecht, Utrecht, Netherlands
| | - Bogdan Draganski
- LREN, Department of Clinical Neurosciences - CHUV, University Lausanne, Switzerland; Max-Planck-Institute for Human Brain and Cognitive Neurosciences, Leipzig, Germany
| | - Ronny Redlich
- Department of Psychiatry, University of Münster, Germany
| | - Udo Dannlowski
- Department of Psychiatry, University of Münster, Germany; Department of Psychiatry, University of Marburg, Germany
| | - Harald Kugel
- Department of Clinical Radiology, University of Münster, Germany
| | - Filip Bouckaert
- KU Leuven, University Psychiatric Center KU Leuven, Academic center for ECT and Neurostimulation (AcCENT), Kortenberg, Belgium
| | - Pascal Sienaert
- KU Leuven, University Psychiatric Center KU Leuven, Academic center for ECT and Neurostimulation (AcCENT), Kortenberg, Belgium
| | - Amit Anand
- Cleveland Clinic, Center for Behavioral Health, Cleveland, USA
| | - Randall Espinoza
- Department of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles (UCLA), CA, USA
| | - Katherine L Narr
- Department of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles (UCLA), CA, USA; Department of Neurology, University of California, Los Angeles (UCLA), CA, USA
| | - Dominic Holland
- Center for Multimodal Imaging and Genetics, University of California, San Diego, La Jolla, CA, USA; Department of Neurosciences, University of California, San Diego, La Jolla, CA, USA
| | - Anders M Dale
- Center for Multimodal Imaging and Genetics, University of California, San Diego, La Jolla, CA, USA; Department of Radiology, University of California, San Diego, La Jolla, CA, USA; Department of Neurosciences, University of California, San Diego, La Jolla, CA, USA
| | - Ketil J Oedegaard
- Department of Clinical Medicine, University of Bergen, Bergen, Norway; Division of Psychiatry, Haukeland University Hospital, Bergen, Norway; K.G. Jebsen Centre for Research on Neuropsychiatric Disorders, Bergen, Norway
| |
Collapse
|