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Verdijk JPAJ, van de Mortel LA, Ten Doesschate F, Pottkämper JCM, Stuiver S, Bruin WB, Abbott CC, Argyelan M, Ousdal OT, Bartsch H, Narr K, Tendolkar I, Calhoun V, Lukemire J, Guo Y, Oltedal L, van Wingen G, van Waarde JA. Longitudinal resting-state network connectivity changes in electroconvulsive therapy patients compared to healthy controls. Brain Stimul 2024; 17:140-147. [PMID: 38101469 PMCID: PMC11145948 DOI: 10.1016/j.brs.2023.12.005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/25/2023] [Revised: 11/28/2023] [Accepted: 12/08/2023] [Indexed: 12/17/2023] Open
Abstract
OBJECTIVE Electroconvulsive therapy (ECT) is effective for major depressive episodes. Understanding of underlying mechanisms has been increased by examining changes of brain connectivity but studies often do not correct for test-retest variability in healthy controls (HC). In this study, we investigated changes in resting-state networks after ECT in a multicenter study. METHODS Functional resting-state magnetic resonance imaging data, acquired before start and within one week after ECT, from 90 depressed patients were analyzed, as well as longitudinal data of 24 HC. Group-information guided independent component analysis (GIG-ICA) was used to spatially restrict decomposition to twelve canonical resting-state networks. Selected networks of interest were the default mode network (DMN), salience network (SN), and left and right frontoparietal network (LFPN, and RFPN). Whole-brain voxel-wise analyses were used to assess group differences at baseline, group by time interactions, and correlations with treatment effectiveness. In addition, between-network connectivity and within-network strengths were computed. RESULTS Within-network strength of the DMN was lower at baseline in ECT patients which increased after ECT compared to HC, after which no differences were detected. At baseline, ECT patients showed lower whole-brain voxel-wise DMN connectivity in the precuneus. Increase of within-network strength of the LFPN was correlated with treatment effectiveness. We did not find whole-brain voxel-wise or between-network changes. CONCLUSION DMN within-network connectivity normalized after ECT. Within-network increase of the LFPN in ECT patients was correlated with higher treatment effectiveness. In contrast to earlier studies, we found no whole-brain voxel-wise changes, which highlights the necessity to account for test-retest effects.
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Affiliation(s)
- Joey P A J Verdijk
- Rijnstate Hospital, Department of Psychiatry, P.O. Box 9555, 6800 TA Arnhem, the Netherlands; University of Twente, Department of Clinical Neurophysiology, Enschede, the Netherlands.
| | - Laurens A van de Mortel
- Amsterdam UMC location University of Amsterdam, Department of Psychiatry, Amsterdam, the Netherlands; Amsterdam Neuroscience, Amsterdam, the Netherlands
| | - Freek Ten Doesschate
- Rijnstate Hospital, Department of Psychiatry, P.O. Box 9555, 6800 TA Arnhem, the Netherlands; Amsterdam UMC location University of Amsterdam, Department of Psychiatry, Amsterdam, the Netherlands; Amsterdam Neuroscience, Amsterdam, the Netherlands
| | - Julia C M Pottkämper
- Rijnstate Hospital, Department of Psychiatry, P.O. Box 9555, 6800 TA Arnhem, the Netherlands; University of Twente, Department of Clinical Neurophysiology, Enschede, the Netherlands
| | - Sven Stuiver
- Rijnstate Hospital, Department of Psychiatry, P.O. Box 9555, 6800 TA Arnhem, the Netherlands; University of Twente, Department of Clinical Neurophysiology, Enschede, the Netherlands
| | - Willem B Bruin
- Amsterdam UMC location University of Amsterdam, Department of Psychiatry, Amsterdam, the Netherlands; Amsterdam Neuroscience, Amsterdam, the Netherlands
| | - Christopher C Abbott
- Department of Psychiatry, University of New Mexico School of Medicine, Albuquerque, NM, USA
| | - Miklos Argyelan
- Center for Psychiatric Neuroscience at the Feinstein Institute for Medical Research, New York, NY, USA
| | - Olga T Ousdal
- Department of Biomedicine, University of Bergen, Bergen, Norway; Department of Radiology, Haukeland University Hospital, Bergen, Norway
| | - Hauke Bartsch
- Department of Computer Science, University of Bergen, Bergen, Norway; Mohn Medical Imaging and Visualization Center, Department of Radiology, Haukeland University Hospital, Bergen, Norway
| | - Katherine Narr
- Departments of Neurology, Psychiatry, and Biobehavioral Sciences, University of California, Los Angeles, CA, USA
| | - Indira Tendolkar
- Donders Institute for Brain, Cognition and Behavior, Department of Psychiatry, Nijmegen, the Netherlands
| | - Vince Calhoun
- Tri-institutional center for Translational Research in Neuroimaging and Data Science (TReNDS) Center, Emory University, USA
| | - Joshua Lukemire
- Emory Center for Biomedical Imaging Statistics, Emory University, USA
| | - Ying Guo
- Emory Center for Biomedical Imaging Statistics, Emory University, USA
| | - Leif Oltedal
- Mohn Medical Imaging and Visualization Center, Department of Radiology, Haukeland University Hospital, Bergen, Norway
| | - Guido van Wingen
- Amsterdam UMC location University of Amsterdam, Department of Psychiatry, Amsterdam, the Netherlands; Amsterdam Neuroscience, Amsterdam, the Netherlands
| | - Jeroen A van Waarde
- Rijnstate Hospital, Department of Psychiatry, P.O. Box 9555, 6800 TA Arnhem, the Netherlands
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Guo L, Zhao Z, Yang X, Shi W, Wang P, Qin D, Wang J, Yin Y. Alterations of dynamic and static brain functional activities and integration in stroke patients. Front Neurosci 2023; 17:1228645. [PMID: 37965216 PMCID: PMC10641467 DOI: 10.3389/fnins.2023.1228645] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/25/2023] [Accepted: 10/05/2023] [Indexed: 11/16/2023] Open
Abstract
Objective The study aimed to investigate the comprehensive characteristics of brain functional activity and integration in patients with subcortical stroke using dynamic and static analysis methods and to examine whether alterations in brain functional activity and integration were associated with clinical symptoms of patients. Methods Dynamic amplitude of low-frequency fluctuation (dALFF), static amplitude of low-frequency fluctuation (sALFF), dynamic degree centrality (dDC), and static degree centrality (sDC) were calculated for 19 patients with right subcortical stroke, 16 patients with left subcortical stroke, and 25 healthy controls (HC). Furthermore, correlation analysis was performed to investigate the relationships between changes in brain functional measurements of patients and clinical variables. Results Group comparison results showed that significantly decreased dALFF in the left angular (ANG_L) and right inferior parietal gyrus (IPG_R), decreased sALFF in the left precuneus (PCUN_L), and decreased sDC in the left crus II of cerebellar hemisphere (CERCRU2_L) and IPG_R, while significantly increased sDC in the right lobule X of cerebellar hemisphere (CER10_R) were detected in patients with right subcortical stroke relative to HC. Patients with left subcortical stroke showed significantly decreased sALFF in the left precuneus (PCUN_L) but increased sDC in the right hippocampus (HIP_R) compared with HC. Additionally, the altered sDC values in the CER10_R of patients with right subcortical stroke and in the HIP_R of patients with left subcortical stroke were associated with the severity of stroke and lower extremities motor function. A correlation was also found between the altered sALFF values in the PCUN_L of patients with left subcortical stroke and lower extremities motor function. Conclusion These findings suggest that time-varying brain activity analysis may supply complementary information for static brain activity analysis. Dynamic and static brain functional activity and integration analysis may contribute to a more comprehensive understanding of the underlying neuropathology of dysfunction in stroke patients.
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Affiliation(s)
- Li Guo
- Graduate School of Kunming Medical University, Kunming, China
- Department of Rehabilitation Medicine, The Affiliated Hospital of Yunnan University, Kunming, China
| | - Zixuan Zhao
- Graduate School of Kunming Medical University, Kunming, China
- Department of Rehabilitation Medicine, The Affiliated Hospital of Yunnan University, Kunming, China
| | - Xu Yang
- Department of Rehabilitation Medicine, The Affiliated Hospital of Yunnan University, Kunming, China
| | - Weiyang Shi
- Brainnetome Center, Institute of Automation, Chinese Academy of Sciences, Beijing, China
| | - Peng Wang
- Department of Radiology, The Affiliated Hospital of Yunnan University, Kunming, China
| | - Dongdong Qin
- Key Laboratory of Traditional Chinese Medicine for Prevention and Treatment of Neuropsychiatric Diseases, Yunnan University of Chinese Medicine, Kunming, China
| | - Jiaojian Wang
- Yunnan Key Laboratory of Primate Biomedicine Research, Institute of Primate Translational Medicine, Kunming University of Science and Technology, Kunming, China
| | - Yong Yin
- Department of Rehabilitation Medicine, The Affiliated Hospital of Yunnan University, Kunming, China
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