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Gao Y, Wang S, Li T, Guo X, Lu Z, Luo R, Yang B, Cao J. Modulation of cerebellar homotopic connectivity by modified electroconvulsive therapy at rest: Study of first-episode, drug-naive adolescent major depressive disorder. J Affect Disord 2025; 379:615-623. [PMID: 40044090 DOI: 10.1016/j.jad.2025.03.005] [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: 08/27/2024] [Revised: 02/26/2025] [Accepted: 03/01/2025] [Indexed: 03/21/2025]
Abstract
Previous studies of brain function alterations that are associated with modified electroconvulsive therapy (MECT) for major depressive disorder (MDD) have yielded conflicting results because of variations in treatment durations, types of antidepressants, and disease course. Consequently, predicting the efficacy of MECT remains challenging. Thirty patients with first-episode, drug-naive adolescent MDD and 34 healthy controls (HCs) underwent resting-state functional magnetic resonance imaging and neuropsychological tests. The patients received MECT and underwent scanning at two time points (baseline and posttreatment). Voxel-mirrored homotopic connectivity (VMHC), support vector machine (SVM), and support vector regression (SVR) analyses were employed to analyze the imaging data. Compared with HCs, patients at baseline exhibited greater VMHC in the cerebellum_2 and cerebellum_8. Following treatment, patients exhibited the restoration of normal VMHC values. Additionally, SVM and receiver operating characteristic curve analyses revealed that VMHC values in the cerebellum_2 could differentiate MDD patients from HCs with 73.85 % accuracy, 70.00% sensitivity, 79.41 % specificity, and an area under the curve of 0.7486. Furthermore, the SVR results indicated a significant association between predicted and actual symptomatic improvement based on the reduction ratio of Hamilton Depression Rating Scale-17 total scores (R2 = 0.5269, P < 0.0001). This study provides evidence that MECT modulates homotopic connectivity of the cerebellum_2 in first-episode, drug-naive adolescent MDD. Moreover, VMHC values in the cerebellum_2 may serve as a valuable neuroimaging biomarker for distinguishing MDD from HCs and potentially predicting early treatment response in MDD.
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Affiliation(s)
- Yujun Gao
- Department of Psychiatry, Wuhan Wuchang Hospital, Wuhan University of Science and Technology, Wuhan, China.
| | - Sanwang Wang
- Department of Psychiatry, Renmin Hospital of Wuhan University, Wuhan 430000, China; Peking University Sixth Hospital, Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Peking University, Beijing 100191, China
| | - Tingting Li
- Peking University Sixth Hospital, Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Peking University, Beijing 100191, China
| | - Xin Guo
- Department of Psychiatry, Renmin Hospital of Wuhan University, Wuhan 430000, China
| | - Zhaoyuan Lu
- Department of Psychiatry, Wuhan Wuchang Hospital, Wuhan University of Science and Technology, Wuhan, China
| | - Ruqin Luo
- Department of Psychiatry, Wuhan Wuchang Hospital, Wuhan University of Science and Technology, Wuhan, China
| | - Bin Yang
- Department of Psychiatry, Wuhan Wuchang Hospital, Wuhan University of Science and Technology, Wuhan, China
| | - Jingchen Cao
- Department of Psychiatry, Wuhan Wuchang Hospital, Wuhan University of Science and Technology, Wuhan, China
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Guan L, Li Y, Kong H, Fang J, Yu J, Wang T, Zhu J, Zhu D. Differences in cognitive deficits and brain functional impairments between patients with first-episode and recurrent depression. BMC Psychiatry 2025; 25:434. [PMID: 40301743 PMCID: PMC12042317 DOI: 10.1186/s12888-025-06758-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/11/2025] [Accepted: 03/20/2025] [Indexed: 05/01/2025] Open
Abstract
BACKGROUND Accumulating evidence shows that cognitive deficits are common in patients with major depressive disorder (MDD). However, the specific differences in cognitive impairment and brain functional alterations between first-episode depression (FED) and recurrent major depression (RMD) remain unclear, as do the relationships among these factors. METHODS A total of 43 RMD and 41 FED patients were included in this study. All the patients underwent examinations of resting-state functional magnetic resonance imaging (fMRI), event-related potential (ERP) measurements, and a series of standardised neuropsychological tests, including event-based (EBPM) and time-based (TBPM) prospective memory tasks, the Semantic Fluency Test (SFT), and the Continuous Performance Task-Identical Pairs (CPT-IP). Two-sample t-tests were used to compare cognitive functioning, ERP parameters, and brain functional indices between FED and RMD groups. Correlation analyses were performed to explore the associations between these variables. RESULTS Compared with FED patients, those with RMD displayed poorer CPT-IP performance, lower prospective memory (EBPM) scores, lower SFT performance, and prolonged P300 latency (all P < 0.05). Moreover, neuroimaging data analysis revealed increased regional neural activity in the right inferior temporal gyrus (ITG), alongside decreased interhemispheric functional connectivity in the bilateral ITG in RMD relative to FED. Correlation analyses indicated that these functional changes were significantly associated with the observed cognitive deficits. CONCLUSION Our data demonstrated more pronounced cognitive deficits and brain functional impairments in RMD relative to FED as well as their potential links. These findings not only elucidate the neural mechanisms underlying cognitive deficits in MDD, but also inform future treatment and prevention of cognitive dysfunction in patients suffering from MDD. CLINICAL TRIAL NUMBER Not applicable.
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Affiliation(s)
- Lianzi Guan
- The School of Mental Health and Psychological Sciences, Anhui Medical University, Hefei, 230032, China
- Department of Sleep Disorders, Affiliated Psychological Hospital of Anhui Medical University, Hefei, 230022, China
- Anhui Mental Health Center, Hefei, 230022, China
| | - Yifei Li
- Department of Sleep Disorders, Affiliated Psychological Hospital of Anhui Medical University, Hefei, 230022, China
- Anhui Mental Health Center, Hefei, 230022, China
- Hefei Fourth People's Hospital, Hefei, 230022, China
| | - Hui Kong
- The School of Mental Health and Psychological Sciences, Anhui Medical University, Hefei, 230032, China
- Department of Sleep Disorders, Affiliated Psychological Hospital of Anhui Medical University, Hefei, 230022, China
- Anhui Mental Health Center, Hefei, 230022, China
| | - Jie Fang
- The School of Mental Health and Psychological Sciences, Anhui Medical University, Hefei, 230032, China
- Department of Sleep Disorders, Affiliated Psychological Hospital of Anhui Medical University, Hefei, 230022, China
- Anhui Mental Health Center, Hefei, 230022, China
| | - Jiakuai Yu
- Department of Sleep Disorders, Affiliated Psychological Hospital of Anhui Medical University, Hefei, 230022, China
- Anhui Mental Health Center, Hefei, 230022, China
- Hefei Fourth People's Hospital, Hefei, 230022, China
| | - Ting Wang
- Department of Sleep Disorders, Affiliated Psychological Hospital of Anhui Medical University, Hefei, 230022, China
- Anhui Mental Health Center, Hefei, 230022, China
- Hefei Fourth People's Hospital, Hefei, 230022, China
| | - Jiajia Zhu
- Department of Radiology, The First Affiliated Hospital of Anhui Medical University, Hefei, 230022, China.
| | - Daomin Zhu
- The School of Mental Health and Psychological Sciences, Anhui Medical University, Hefei, 230032, China.
- Department of Sleep Disorders, Affiliated Psychological Hospital of Anhui Medical University, Hefei, 230022, China.
- Anhui Mental Health Center, Hefei, 230022, China.
- Hefei Fourth People's Hospital, Hefei, 230022, China.
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Chen W, Xie G, Xu C, Liang J, Zhang C. The relationship between regional homogeneity in resting-state functional magnetic resonance imaging and cognitive function in depressive disorders with migraine. Sci Rep 2025; 15:11810. [PMID: 40189646 PMCID: PMC11973142 DOI: 10.1038/s41598-025-96850-6] [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: 11/17/2024] [Accepted: 04/01/2025] [Indexed: 04/09/2025] Open
Abstract
Patients with depressive disorder with migraine (DDWM) are common, yet the neural mechanisms and brain function changes associated with this comorbidity remain partially understood. This study explores regional homogeneity (ReHo) abnormalities in resting-state functional magnetic resonance imaging (fMRI) and cognitive function in DDWM patients. We recruited 29 patients with DDWM, 34 patients with depressive disorder without migraine (DDWOM), and 43 matched healthy controls (HC). All participants underwent rs-fMRI scans, and imaging data were analyzed using ReHo. Cognitive function was assessed with the Repeatable Battery for the Assessment of Neuropsychological Status. We also employed support vector machine (SVM) analysis to evaluate whether abnormal ReHo values could distinguish DDWM. he DDWM group exhibited significantly lower ReHo values in the left cuneus and left calcarine compared to the DDWOM group. ReHo values in these regions were negatively correlated with pain scores on the Visual Analogue Scale (r = - 0.3628, p = 0.0001; r = - 0.3142, p = 0.001) and positively correlated with the List_Recall score on RBANS (r = 0.260, p = 0.007). SVM analysis indicated that the left cuneus ReHo value could distinguish DDWM from DDWOM with 78.09% accuracy, 87.66% sensitivity, and 74.33% specificity. The left cuneus and left calcarine are potential biomarkers for migraine symptoms in DDWM, with the left cuneus affecting cognitive function related to memory.
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Affiliation(s)
- Wensheng Chen
- Department of Psychiatry, The Third People's Hospital of Foshan, Foshan, 528000, Guangdong, China
| | - Guojun Xie
- Department of Psychiatry, The Third People's Hospital of Foshan, Foshan, 528000, Guangdong, China
| | - Caixia Xu
- Department of Psychiatry, The Third People's Hospital of Foshan, Foshan, 528000, Guangdong, China
| | - Jiaquan Liang
- Department of Psychiatry, The Third People's Hospital of Foshan, Foshan, 528000, Guangdong, China.
| | - Chunguo Zhang
- Department of Psychiatry, The Third People's Hospital of Foshan, Foshan, 528000, Guangdong, China.
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Hagen J, Ramkiran S, Schnellbächer GJ, Rajkumar R, Collee M, Khudeish N, Veselinović T, Shah NJ, Neuner I. Phenomena of hypo- and hyperconnectivity in basal ganglia-thalamo-cortical circuits linked to major depression: a 7T fMRI study. Mol Psychiatry 2025; 30:158-167. [PMID: 39020104 PMCID: PMC11649570 DOI: 10.1038/s41380-024-02669-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/26/2023] [Revised: 06/28/2024] [Accepted: 07/05/2024] [Indexed: 07/19/2024]
Abstract
Major depressive disorder (MDD) typically manifests itself in depressed affect, anhedonia, low energy, and additional symptoms. Despite its high global prevalence, its pathophysiology still gives rise to questions. Current research places alterations in functional connectivity among MDD's most promising biomarkers. However, given the heterogeneity of previous findings, the use of higher-resolution imaging techniques, like ultra-high field (UHF) fMRI (≥7 Tesla, 7T), may offer greater specificity in delineating fundamental impairments. In this study, 7T UHF fMRI scans were conducted on 31 MDD patients and 27 age-gender matched healthy controls to exploratorily contrast cerebral resting-state functional connectivity patterns between both groups. The CONN toolbox was used to generate functional network connectivity (FNC) analysis based on the region of interest (ROI)-to-ROI correlations in order to enable the identification of clusters of significantly different connections. Correction for multiple comparisons was implemented at the cluster level using a false discovery rate (FDR). The analysis revealed three significant clusters differentiating MDD patients and healthy controls. In Clusters 1 and 2, MDD patients exhibited between-network hypoconnectivity in basal ganglia-cortical pathways as well as hyperconnectivity in thalamo-cortical pathways, including several individual ROI-to-ROI connections. In Cluster 3, they showed increased occipital interhemispheric within-network connectivity. These findings suggest that alterations in basal ganglia-thalamo-cortical circuits play a substantial role in the pathophysiology of MDD. Furthermore, they indicate potential MDD-related deficits relating to a combination of perception (vision, audition, and somatosensation) as well as more complex functions, especially social-emotional processing, modulation, and regulation. It is anticipated that these findings might further inform more accurate clinical procedures for addressing MDD.
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Affiliation(s)
- Jana Hagen
- Department of Psychiatry, Psychotherapy and Psychosomatics, Uniklinik RWTH Aachen, Aachen, Germany
- Institute of Neuroscience and Medicine - 4, Forschungszentrum Jülich, Jülich, Germany
| | - Shukti Ramkiran
- Department of Psychiatry, Psychotherapy and Psychosomatics, Uniklinik RWTH Aachen, Aachen, Germany
- Institute of Neuroscience and Medicine - 4, Forschungszentrum Jülich, Jülich, Germany
| | - Gereon J Schnellbächer
- Department of Psychiatry, Psychotherapy and Psychosomatics, Uniklinik RWTH Aachen, Aachen, Germany
- Institute of Neuroscience and Medicine - 4, Forschungszentrum Jülich, Jülich, Germany
| | - Ravichandran Rajkumar
- Department of Psychiatry, Psychotherapy and Psychosomatics, Uniklinik RWTH Aachen, Aachen, Germany
- Institute of Neuroscience and Medicine - 4, Forschungszentrum Jülich, Jülich, Germany
| | - Maria Collee
- Department of Psychiatry, Psychotherapy and Psychosomatics, Uniklinik RWTH Aachen, Aachen, Germany
| | - Nibal Khudeish
- Department of Psychiatry, Psychotherapy and Psychosomatics, Uniklinik RWTH Aachen, Aachen, Germany
- Institute of Neuroscience and Medicine - 4, Forschungszentrum Jülich, Jülich, Germany
| | - Tanja Veselinović
- Department of Psychiatry, Psychotherapy and Psychosomatics, Uniklinik RWTH Aachen, Aachen, Germany
- Institute of Neuroscience and Medicine - 4, Forschungszentrum Jülich, Jülich, Germany
| | - N Jon Shah
- Institute of Neuroscience and Medicine - 4, Forschungszentrum Jülich, Jülich, Germany
- Department of Neurology, Uniklinik RWTH Aachen, Aachen, Germany
- Institute of Neuroscience and Medicine - 11, Forschungszentrum Jülich, Jülich, Germany
| | - Irene Neuner
- Department of Psychiatry, Psychotherapy and Psychosomatics, Uniklinik RWTH Aachen, Aachen, Germany.
- Institute of Neuroscience and Medicine - 4, Forschungszentrum Jülich, Jülich, Germany.
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5
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Chen W, Xu C, Wu W, Li W, Huang W, Li Z, Li X, Xie G, Li X, Zhang C, Liang J. Differences of regional homogeneity and cognitive function between psychotic depression and drug-naïve schizophrenia. BMC Psychiatry 2024; 24:835. [PMID: 39567972 PMCID: PMC11577850 DOI: 10.1186/s12888-024-06283-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/08/2023] [Accepted: 11/11/2024] [Indexed: 11/22/2024] Open
Abstract
BACKGROUND Psychotic depression (PD) and schizophrenia (SCZ) share overlapping symptoms yet differ in etiology, progression, and treatment approaches. Differentiating these disorders through symptom-based diagnosis is challenging, emphasizing the need for a clearer understanding of their distinct cognitive and neural mechanisms. AIM This study aims to compare cognitive impairments and brain functional activities in PD and SCZ to pinpoint distinguishing characteristics of each disorder. METHODS We evaluated cognitive function in 42 PD and 30 SCZ patients using the Repeatable Battery for the Assessment of Neuropsychological Status (RBANS) and resting-state functional magnetic resonance imaging (rs-fMRI). Regional homogeneity (ReHo) values were derived from rs-fMRI data, and group differences in RBANS scores were analyzed. Additionally, Pearson correlation analysis was performed to assess the relationship between cognitive domains and brain functional metrics. RESULTS (1) The SCZ group showed significantly lower RBANS scores than the PD group across all cognitive domains, particularly in visuospatial/constructional ability and delayed memory (p < 0.05); (2) The SCZ group exhibited a significantly higher ReHo value in the left precuneus compared to the PD group (p < 0.05); (3) A negative correlation was observed between visuospatial construction, delayed memory scores, and the ReHo value of the left precuneus. CONCLUSION Cognitive impairment is more pronounced in SCZ than in PD, with marked deficits in visuospatial and memory domains. Enhanced left precuneus activity further differentiates SCZ from PD and correlates with cognitive impairments in both disorders, providing neuroimaging-based evidence to aid differential diagnosis and insights into cognitive dysfunction mechanisms, while also paving a clearer path for psychiatric research.
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Affiliation(s)
- Wensheng Chen
- Department of Psychiatry, The Third People's Hospital of Foshan, Guangdong, 528000, People's Republic of China
| | - Caixia Xu
- Department of Psychiatry, The Third People's Hospital of Foshan, Guangdong, 528000, People's Republic of China
| | - Weibin Wu
- Department of Psychiatry, The Third People's Hospital of Foshan, Guangdong, 528000, People's Republic of China
| | - Wenxuan Li
- Department of Psychiatry, The Third People's Hospital of Foshan, Guangdong, 528000, People's Republic of China
| | - Wei Huang
- Department of Psychiatry, The Third People's Hospital of Foshan, Guangdong, 528000, People's Republic of China
| | - Zhijian Li
- Department of Psychiatry, The Third People's Hospital of Foshan, Guangdong, 528000, People's Republic of China
| | - Xiaoling Li
- Department of Psychiatry, The Third People's Hospital of Foshan, Guangdong, 528000, People's Republic of China
| | - Guojun Xie
- Department of Psychiatry, The Third People's Hospital of Foshan, Guangdong, 528000, People's Republic of China
| | - Xuesong Li
- Department of Psychiatry, The Third People's Hospital of Foshan, Guangdong, 528000, People's Republic of China
| | - Chunguo Zhang
- Department of Psychiatry, The Third People's Hospital of Foshan, Guangdong, 528000, People's Republic of China.
| | - Jiaquan Liang
- Department of Psychiatry, The Third People's Hospital of Foshan, Guangdong, 528000, People's Republic of China.
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Zhang C, Ruan F, Yan H, Liang J, Li X, Liang W, Ou Y, Xu C, Xie G, Guo W. Potential correlations between abnormal homogeneity of default mode network and personality or lipid level in major depressive disorder. Brain Behav 2024; 14:e3622. [PMID: 39021241 PMCID: PMC11255032 DOI: 10.1002/brb3.3622] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/22/2023] [Revised: 05/30/2024] [Accepted: 06/20/2024] [Indexed: 07/20/2024] Open
Abstract
BACKGROUND Default mode network (DMN) is one of the most recognized resting-state networks in major depressive disorder (MDD). However, the homogeneity of this network in MDD remains incompletely explored. Therefore, this study aims to determine whether there is abnormal network homogeneity (NH) of the DMN in MDD patients. At the same time, correlations between clinical variables and brain functional connectivity are examined. METHODS We enrolled 42 patients diagnosed with MDD and 42 HCs. A variety of clinical variables were collected, and data analysis was conducted using the NH and independent component analysis methods. RESULTS The study shows that MDD patients have higher NH values in the left superior medial prefrontal cortex (MPFC) and left posterior cingulate cortex (PCC) compared to HCs. Additionally, there is a positive correlation between NH values of the left superior MPFC and Eysenck Personality Questionnaire values. NH values of the left PCC are positively linked to CHOL levels, LDL levels, and utilization scores. However, these correlations lose significance after the Bonferroni correction. CONCLUSION Our findings indicate the presence of abnormal DMN homogeneity in MDD, underscoring the significance of DMN in the pathophysiology of MDD. Simultaneously, the study provides preliminary evidence for the correlation between clinical variables and brain functional connectivity.
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Affiliation(s)
- Chunguo Zhang
- Department of PsychiatryThe Third People's Hospital of FoshanFoshanGuangdongChina
| | - Feichao Ruan
- Department of PsychiatryThe Third People's Hospital of FoshanFoshanGuangdongChina
| | - Haohao Yan
- Department of PsychiatryNational Clinical Research Center for Mental Disordersand National Center for Mental DisordersThe Second Xiangya Hospital of Central South UniversityChangshaHunanChina
| | - Jiaquan Liang
- Department of PsychiatryThe Third People's Hospital of FoshanFoshanGuangdongChina
| | - Xiaoling Li
- Department of PsychiatryThe Third People's Hospital of FoshanFoshanGuangdongChina
| | - Wenting Liang
- Department of PsychiatryThe Third People's Hospital of FoshanFoshanGuangdongChina
| | - Yangpan Ou
- Department of PsychiatryNational Clinical Research Center for Mental Disordersand National Center for Mental DisordersThe Second Xiangya Hospital of Central South UniversityChangshaHunanChina
| | - Caixia Xu
- Department of PsychiatryThe Third People's Hospital of FoshanFoshanGuangdongChina
| | - Guojun Xie
- Department of PsychiatryThe Third People's Hospital of FoshanFoshanGuangdongChina
| | - Wenbin Guo
- Department of PsychiatryNational Clinical Research Center for Mental Disordersand National Center for Mental DisordersThe Second Xiangya Hospital of Central South UniversityChangshaHunanChina
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Kurkin SA, Smirnov NM, Paunova R, Kandilarova S, Stoyanov D, Mayorova L, Hramov AE. Beyond Pairwise Interactions: Higher-Order Q-Analysis of fMRI-Based Brain Functional Networks in Patients With Major Depressive Disorder. IEEE ACCESS 2024; 12:197168-197186. [DOI: 10.1109/access.2024.3521249] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/12/2025]
Affiliation(s)
- Semen A. Kurkin
- Baltic Center for Neurotechnology and Artificial Intelligence, Immanuel Kant Baltic Federal University, Kaliningrad, Russia
| | - Nikita M. Smirnov
- Baltic Center for Neurotechnology and Artificial Intelligence, Immanuel Kant Baltic Federal University, Kaliningrad, Russia
| | - Rositsa Paunova
- Department of Psychiatry and Medical Psychology, Research Institute, Medical University of Plovdiv, Plovdiv, Bulgaria
| | - Sevdalina Kandilarova
- Department of Psychiatry and Medical Psychology, Research Institute, Medical University of Plovdiv, Plovdiv, Bulgaria
| | - Drozdstoy Stoyanov
- Department of Psychiatry and Medical Psychology, Research Institute, Medical University of Plovdiv, Plovdiv, Bulgaria
| | - Larisa Mayorova
- Federal Research and Clinical Center of Intensive Care Medicine and Rehabilitology, Solnechnogorsk, Russia
| | - Alexander E. Hramov
- Baltic Center for Neurotechnology and Artificial Intelligence, Immanuel Kant Baltic Federal University, Kaliningrad, Russia
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Zhu Y, Huang T, Li R, Yang Q, Zhao C, Yang M, Lin B, the DIRECT Consortium, Li X. Distinct resting-state effective connectivity of large-scale networks in first-episode and recurrent major depression disorder: evidence from the REST-meta-MDD consortium. Front Neurosci 2023; 17:1308551. [PMID: 38148946 PMCID: PMC10750394 DOI: 10.3389/fnins.2023.1308551] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/06/2023] [Accepted: 11/24/2023] [Indexed: 12/28/2023] Open
Abstract
Introduction Previous studies have shown disrupted effective connectivity in the large-scale brain networks of individuals with major depressive disorder (MDD). However, it is unclear whether these changes differ between first-episode drug-naive MDD (FEDN-MDD) and recurrent MDD (R-MDD). Methods This study utilized resting-state fMRI data from 17 sites in the Chinese REST-meta-MDD project, consisting of 839 patients with MDD and 788 normal controls (NCs). All data was preprocessed using a standardized protocol. Then, we performed a granger causality analysis to calculate the effectivity connectivity (EC) within and between brain networks for each participant, and compared the differences between the groups. Results Our findings revealed that R-MDD exhibited increased EC in the fronto-parietal network (FPN) and decreased EC in the cerebellum network, while FEDN-MDD demonstrated increased EC from the sensorimotor network (SMN) to the FPN compared with the NCs. Importantly, the two MDD subgroups displayed significant differences in EC within the FPN and between the SMN and visual network. Moreover, the EC from the cingulo-opercular network to the SMN showed a significant negative correlation with the Hamilton Rating Scale for Depression (HAMD) score in the FEDN-MDD group. Conclusion These findings suggest that first-episode and recurrent MDD have distinct effects on the effective connectivity in large-scale brain networks, which could be potential neural mechanisms underlying their different clinical manifestations.
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Affiliation(s)
- Yao Zhu
- School of Psychology and Cognitive Science, East China Normal University, Shanghai, China
| | - Tianming Huang
- Department of General Psychiatry, Shanghai Changning Mental Health Center, Shanghai, China
| | - Ruolin Li
- Department of Radiology, Children’s Hospital of Philadelphia, Philadelphia, PA, United States
| | - Qianrong Yang
- Department of General Psychiatry, Shanghai Changning Mental Health Center, Shanghai, China
| | - Chaoyue Zhao
- School of Psychology and Cognitive Science, East China Normal University, Shanghai, China
| | - Ming Yang
- School of Psychology and Cognitive Science, East China Normal University, Shanghai, China
| | - Bin Lin
- Department of Radiology, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | | | - Xuzhou Li
- Department of Radiology, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
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9
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Chen Q, Bi Y, Yan W, Wu S, Xia T, Wang Y, Huang S, Zhou C, Xie S, Kuang S, Kong W, Lv Z. Abnormal voxel-mirrored homotopic connectivity in first-episode major depressive disorder using fMRI: a machine learning approach. Front Psychiatry 2023; 14:1241670. [PMID: 37766927 PMCID: PMC10520785 DOI: 10.3389/fpsyt.2023.1241670] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/17/2023] [Accepted: 08/29/2023] [Indexed: 09/29/2023] Open
Abstract
Objective To explore the interhemispheric information synergy ability of the brain in major depressive disorder (MDD) patients by applying the voxel-mirrored homotopic connectivity (VMHC) method and further explore the potential clinical diagnostic value of VMHC metric by a machine learning approach. Methods 52 healthy controls and 48 first-episode MDD patients were recruited in the study. We performed neuropsychological tests and resting-state fMRI scanning on all subjects. The VMHC values of the symmetrical interhemispheric voxels in the whole brain were calculated. The VMHC alterations were compared between two groups, and the relationship between VMHC values and clinical variables was analyzed. Then, abnormal brain regions were selected as features to conduct the classification model by using the support vector machine (SVM) approach. Results Compared to the healthy controls, MDD patients exhibited decreased VMHC values in the bilateral middle frontal gyrus, fusiform gyrus, medial superior frontal gyrus and precentral gyrus. Furthermore, the VMHC value of the bilateral fusiform gyrus was positively correlated with the total Hamilton Depression Scale (HAMD). Moreover, SVM analysis displayed that a combination of all clusters demonstrated the highest area under the curve (AUC) of 0.87 with accuracy, sensitivity, and specificity values of 86.17%, 76.74%, and 94.12%, respectively. Conclusion MDD patients had reduced functional connectivity in the bilateral middle frontal gyrus, fusiform gyrus, medial superior frontal gyrus and precentral gyrus, which may be related to depressive symptoms. The abnormality in these brain regions could represent potential imaging markers to distinguish MDD patients from healthy controls.
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Affiliation(s)
- Qing Chen
- School of Traditional Chinese Medicine, Southern Medical University, Guangzhou, China
| | - Yanmeng Bi
- College of Integrated Traditional Chinese and Western Medicine, Jining Medical University, Jining, China
| | - Weixin Yan
- The First Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, China
| | - Shuhui Wu
- The Second Affiliated Hospital of Hunan University of Chinese Medicine, Changsha, China
| | - Ting Xia
- School of Traditional Chinese Medicine, Southern Medical University, Guangzhou, China
| | - Yuhua Wang
- School of Traditional Chinese Medicine, Southern Medical University, Guangzhou, China
| | - Sha Huang
- School of Traditional Chinese Medicine, Southern Medical University, Guangzhou, China
| | - Chuying Zhou
- School of Traditional Chinese Medicine, Southern Medical University, Guangzhou, China
| | - Shuwen Xie
- School of Traditional Chinese Medicine, Southern Medical University, Guangzhou, China
| | - Shanshan Kuang
- School of Traditional Chinese Medicine, Southern Medical University, Guangzhou, China
| | - Wen Kong
- Guangzhou Hospital of Integrated Chinese and Western Medicine, Guangzhou, China
| | - Zhiping Lv
- School of Traditional Chinese Medicine, Southern Medical University, Guangzhou, China
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Jing H, Zhang C, Yan H, Li X, Liang J, Liang W, Ou Y, Wu W, Guo H, Deng W, Xie G, Guo W. Deviant spontaneous neural activity as a potential early-response predictor for therapeutic interventions in patients with schizophrenia. Front Neurosci 2023; 17:1243168. [PMID: 37727324 PMCID: PMC10505796 DOI: 10.3389/fnins.2023.1243168] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/20/2023] [Accepted: 08/18/2023] [Indexed: 09/21/2023] Open
Abstract
Objective Previous studies have established significant differences in the neuroimaging characteristics between healthy controls (HCs) and patients with schizophrenia (SCZ). However, the relationship between homotopic connectivity and clinical features in patients with SCZ is not yet fully understood. Furthermore, there are currently no established neuroimaging biomarkers available for the diagnosis of SCZ or for predicting early treatment response. The aim of this study is to investigate the association between regional homogeneity and specific clinical features in SCZ patients. Methods We conducted a longitudinal investigation involving 56 patients with SCZ and 51 HCs. The SCZ patients underwent a 3-month antipsychotic treatment. Resting-state functional magnetic resonance imaging (fMRI), regional homogeneity (ReHo), support vector machine (SVM), and support vector regression (SVR) were used for data acquisition and analysis. Results In comparison to HCs, individuals with SCZ demonstrated reduced ReHo values in the right postcentral/precentral gyrus, left postcentral/inferior parietal gyrus, left middle/inferior occipital gyrus, and right middle temporal/inferior occipital gyrus, and increased ReHo values in the right putamen. It is noteworthy that there was decreased ReHo values in the right inferior parietal gyrus after treatment compared to baseline data. Conclusion The observed decrease in ReHo values in the sensorimotor network and increase in ReHo values in the right putamen may represent distinctive neurobiological characteristics of patients with SCZ, as well as a potential neuroimaging biomarker for distinguishing between patients with SCZ and HCs. Furthermore, ReHo values in the sensorimotor network and right putamen may serve as predictive indicators for early treatment response in patients with SCZ.
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Affiliation(s)
- Huan Jing
- Department of Psychiatry, The Third People's Hospital of Foshan, Foshan, Guangdong, China
| | - Chunguo Zhang
- Department of Psychiatry, The Third People's Hospital of Foshan, Foshan, Guangdong, China
| | - Haohao Yan
- Department of Psychiatry, National Clinical Research Center for Mental Disorders, and National Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha, Hunan, China
| | - Xiaoling Li
- Department of Psychiatry, The Third People's Hospital of Foshan, Foshan, Guangdong, China
| | - Jiaquan Liang
- Department of Psychiatry, The Third People's Hospital of Foshan, Foshan, Guangdong, China
| | - Wenting Liang
- Department of Psychiatry, The Third People's Hospital of Foshan, Foshan, Guangdong, China
| | - Yangpan Ou
- Department of Psychiatry, National Clinical Research Center for Mental Disorders, and National Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha, Hunan, China
| | - Weibin Wu
- Department of Psychiatry, The Third People's Hospital of Foshan, Foshan, Guangdong, China
| | - Huagui Guo
- Department of Psychiatry, The Third People's Hospital of Foshan, Foshan, Guangdong, China
| | - Wen Deng
- Department of Psychiatry, The Third People's Hospital of Foshan, Foshan, Guangdong, China
| | - Guojun Xie
- Department of Psychiatry, The Third People's Hospital of Foshan, Foshan, Guangdong, China
| | - Wenbin Guo
- Department of Psychiatry, National Clinical Research Center for Mental Disorders, and National Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha, Hunan, China
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