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Chen Y, Shen P, He Y, Zeng D, Li Y, Zhang Y, Chen M, Liu C. Bibliometric analysis of functional magnetic resonance imaging studies on chronic pain over the past 20 years. Acta Neurochir (Wien) 2024; 166:307. [PMID: 39060813 DOI: 10.1007/s00701-024-06204-w] [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: 06/07/2024] [Accepted: 07/17/2024] [Indexed: 07/28/2024]
Abstract
PURPOSE The utilization of functional magnetic resonance imaging (fMRI) in studying the mechanisms and treatment of chronic pain has gained significant popularity. However, there is currently a dearth of literature conducting bibliometric analysis on fMRI studies focused on chronic pain. METHODS All the literature included in this study was obtained from the Science Citation Index Expanded of Web of Science Core Collection. We used CiteSpace and VOSviewer to analyze publications, authors, countries or regions, institutions, journals, references and keywords. Additionally, we evaluated the timeline and burst analysis of keywords, as well as the timeline and burst analysis of references. The search was conducted from 2004 to 2023 and completed within a single day on October 4th, 2023. RESULTS A total of 1,327 articles were retrieved. The annual publication shows an overall increasing trend. The United States has the highest number of publications and the main contributing institution is Harvard University. The journal PAIN produces the most articles. In recent years, resting-state fMRI, the prefrontal cortex, nucleus accumbens, thalamus, and migraines have been researched hotspots of fMRI studies on chronic pain. CONCLUSIONS This study provides an in-depth perspective on fMRI for chronic pain research, revealing key points, research hotspots and research trends, which offers valuable ideas for future research activities. It concludes with a summary of advances in clinical practice in this area, pointing out the need for critical evaluation of these findings in the light of guidelines and expert recommendations. It is anticipated that further high-quality research outputs will be generated in the future, which will facilitate the utilization of fMRI in clinical decision-making for chronic pain.
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Affiliation(s)
- Yiming Chen
- Clinical Medical College of Acupuncture Moxibustion and Rehabilitation, Guangzhou University of Chinese Medicine, Guangzhou, China
| | - Peifeng Shen
- Clinical Medical College of Acupuncture Moxibustion and Rehabilitation, Guangzhou University of Chinese Medicine, Guangzhou, China
| | - Yanan He
- Clinical Medical College of Acupuncture Moxibustion and Rehabilitation, Guangzhou University of Chinese Medicine, Guangzhou, China
| | - Deyi Zeng
- Department of Radiology, Panyu Health Management Center (Panyu Rehabilitation Hospital), 688 West Yushan Road Shatou Street, Panyu District, Guangzhou, China
| | - Yuanchao Li
- Clinical Medical College of Acupuncture Moxibustion and Rehabilitation, Guangzhou University of Chinese Medicine, Guangzhou, China
| | - Yuting Zhang
- Clinical Medical College of Acupuncture Moxibustion and Rehabilitation, Guangzhou University of Chinese Medicine, Guangzhou, China
| | - Mengtong Chen
- Clinical Medical College of Acupuncture Moxibustion and Rehabilitation, Guangzhou University of Chinese Medicine, Guangzhou, China
| | - Chunlong Liu
- Clinical Medical College of Acupuncture Moxibustion and Rehabilitation, Guangzhou University of Chinese Medicine, Guangzhou, China.
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Zhang Q, Zhang W, Zhang P, Zhao Z, Yang L, Zheng F, Zhang L, Huang G, Zhang J, Zheng W, Ma R, Yao Z, Hu B. Altered dynamic functional connectivity in rectal cancer patients with and without chemotherapy: a resting-state fMRI study. Int J Neurosci 2024; 134:584-594. [PMID: 36178032 DOI: 10.1080/00207454.2022.2130295] [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: 06/13/2022] [Revised: 08/11/2022] [Accepted: 09/01/2022] [Indexed: 10/17/2022]
Abstract
Purpose: Understanding the mechanism of brain functional alterations in rectal cancer (RC) patients is of great significance to improve the prognosis and quality of life of patients. Additionally, the influence of chemotherapy on brain function in RC patients is still unclear. In this study, we aimed to investigate the alterations of brain functional network dynamics in RC patients and explore the effects of chemotherapy on temporal dynamics of dynamic functional connectivity (DFC). Methods: The group independent component analysis (GICA) and sliding window method were applied to investigate abnormalities of DFC based on resting-state functional magnetic resonance imaging (rs-fMRI) of 18 RC patients without chemotherapy (RC_NC), 21 RC patients with chemotherapy (RC_C) and 33 healthy controls (HC). Then, the Spearman correlation between aberrant properties and clinical measures was calculated. Results: Two discrete states were identified. Compared to HC, RC_NC exhibited increased mean dwell time (MDT) and fractional windows (FW) in state 2 and decreased transition numbers between the two states. Notably, three temporal properties in RC_C showed an intermediate trend in comparison with RC_NC and HC. Furthermore, RC_C also demonstrated abnormal intra- and inter-network connections, involving the visual (VIS), default mode (DM), and cognitive control (CC) networks, and most connections related to VIS were correlated with the severity of anxiety and depression. Conclusions: Our study suggested that abnormal DFC patterns could be manifested in RC patients and chemotherapy would further correct abnormalities of network dynamics, which may provide new insights into the brain functional alterations in patients with RC from the time-varying connectivity perspective.
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Affiliation(s)
- Qin Zhang
- Gansu Provincial Key Laboratory of Wearable Computing, School of Information Science and Engineering, Lanzhou University, Lanzhou, PR China
| | - Wenwen Zhang
- Department of Radiology, Gansu Provincial Hospital, Lanzhou, PRChina
| | - Pengfei Zhang
- Second Clinical School, Lanzhou University, Lanzhou, PRChina
- Department of Magnetic Resonance, Lanzhou University Second Hospital, Lanzhou, PRChina
- Gansu Province Clinical Research Center for Functional and Molecular Imaging, Lanzhou, PRChina
| | - Ziyang Zhao
- Gansu Provincial Key Laboratory of Wearable Computing, School of Information Science and Engineering, Lanzhou University, Lanzhou, PR China
| | - Lin Yang
- Gansu Provincial Key Laboratory of Wearable Computing, School of Information Science and Engineering, Lanzhou University, Lanzhou, PR China
| | - Fang Zheng
- Gansu Provincial Key Laboratory of Wearable Computing, School of Information Science and Engineering, Lanzhou University, Lanzhou, PR China
| | - Lingyu Zhang
- Gansu Provincial Key Laboratory of Wearable Computing, School of Information Science and Engineering, Lanzhou University, Lanzhou, PR China
| | - Gang Huang
- Department of Radiology, Gansu Provincial Hospital, Lanzhou, PRChina
| | - Jing Zhang
- Second Clinical School, Lanzhou University, Lanzhou, PRChina
- Department of Magnetic Resonance, Lanzhou University Second Hospital, Lanzhou, PRChina
- Gansu Province Clinical Research Center for Functional and Molecular Imaging, Lanzhou, PRChina
| | - Weihao Zheng
- Gansu Provincial Key Laboratory of Wearable Computing, School of Information Science and Engineering, Lanzhou University, Lanzhou, PR China
| | - Rong Ma
- Gansu Provincial Key Laboratory of Wearable Computing, School of Information Science and Engineering, Lanzhou University, Lanzhou, PR China
| | - Zhijun Yao
- Gansu Provincial Key Laboratory of Wearable Computing, School of Information Science and Engineering, Lanzhou University, Lanzhou, PR China
| | - Bin Hu
- Gansu Provincial Key Laboratory of Wearable Computing, School of Information Science and Engineering, Lanzhou University, Lanzhou, PR China
- Joint Research Center for Cognitive Neurosensor Technology of Lanzhou University & Institute of Semiconductors, Chinese Academy of Sciences, Lanzhou, PR China
- Engineering Research Center of Open Source Software and Real-Time System (Lanzhou University), Ministry of Education, Lanzhou, PR China
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Shen W, Wang X, Li Q, Ding Q, Zhang H, Qian Z, Sun Z, Chen X, Zhang J, Zhao M, Huang L, Xing W. Research on adults with subthreshold depression after aerobic exercise: a resting-state fMRI study based on regional homogeneity (ReHo). Front Neurosci 2024; 18:1231883. [PMID: 38533447 PMCID: PMC10963409 DOI: 10.3389/fnins.2024.1231883] [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: 05/31/2023] [Accepted: 01/31/2024] [Indexed: 03/28/2024] Open
Abstract
Objective Subthreshold depression (StD)/subsyndromal depression refers to a threatening precursor to depression. Aerobic exercise is a promising self-supportive adjunctive intervention and an effective measure for StD. Our study utilizes regional homogeneity (ReHo) to investigate the impact of aerobic exercise on resting-state brain function. Methods A total of 78 subjects, aged between 18 and 48 years, (StD group, n = 44; healthy control (HC) group, n = 34) engaged in moderate-intensity aerobic exercise 3-4 times per week for 8 weeks. Resting-state brain function and structural images were acquired before and after the exercise intervention. The ReHo method was employed to analyze abnormal changes in regional brain function, and a correlation analysis was performed using the Patient Health Questionnaire-9 (PHQ-9) and Self-Rating Anxiety Scale (SAS) scores. Results The principal observation reveals synchronous abnormalities in the right anterior cingulate gyrus of the brain in StD subjects compared to HCs at baseline, with these differences dissipating after the implementation of aerobic exercise. After completing the aerobic exercise program, the StD group exhibited a difference in the right middle cingulate gyrus, while the left supplementary motor area (SMA) was altered in the HC group. Conclusion Disparities in neural synchronization are evident between HCs and StD subjects, and the implementation of aerobic exercise intervention can effectively mitigate these distinctions, leading to a significant reduction in depressive symptoms among StD subjects. The primary mechanism of StD symptoms may involve the inhibition of the anterior cingulate gyrus, while the effects of aerobic exercise may be related to the modulation of neural synchronization of emotional reflexes. The discovery of these fMRI evidence findings may offer novel strategies for early detection and intervention in cases of StD.
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Affiliation(s)
- Wenbin Shen
- Department of Radiology, The Affiliated Changshu Hospital of Nantong University, Changshu No.2 People's Hospital, Changshu, Jiangsu, China
| | - Xiaoxiao Wang
- School of Foreign Studies, China University of Petroleum, Qingdao, Shandong, China
| | - Qin Li
- Department of Radiology, The Affiliated Changshu Hospital of Nantong University, Changshu No.2 People's Hospital, Changshu, Jiangsu, China
| | - Qingguo Ding
- Department of Radiology, The Affiliated Changshu Hospital of Nantong University, Changshu No.2 People's Hospital, Changshu, Jiangsu, China
| | - Hongqiang Zhang
- Department of Radiology, The Affiliated Changshu Hospital of Nantong University, Changshu No.2 People's Hospital, Changshu, Jiangsu, China
| | - Zheng Qian
- Department of Radiology, The Affiliated Changshu Hospital of Nantong University, Changshu No.2 People's Hospital, Changshu, Jiangsu, China
| | - Zhixin Sun
- Department of Radiology, The Affiliated Changshu Hospital of Nantong University, Changshu No.2 People's Hospital, Changshu, Jiangsu, China
| | - Xingyu Chen
- Department of Radiology, The Affiliated Changshu Hospital of Nantong University, Changshu No.2 People's Hospital, Changshu, Jiangsu, China
| | - Jun Zhang
- Department of Psychiatry, Changshu Third People's Hospital, Changshu, Jiangsu, China
| | - Mengqi Zhao
- School of Psychology, Zhejiang Normal University, Jinhua, Zhejiang, China
| | - Lina Huang
- Department of Radiology, The Affiliated Changshu Hospital of Nantong University, Changshu No.2 People's Hospital, Changshu, Jiangsu, China
| | - Wei Xing
- Department of Radiology, The Third Affiliated Hospital of Soochow University, Changzhou, Jiangsu, China
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Wei J, Wang M, Dou Y, Wang Y, Du Y, Zhao L, Ni R, Yang X, Ma X. Dysconnectivity of the brain functional network and abnormally expressed peripheral transcriptional profiles in patients with anxious depression. J Psychiatr Res 2024; 171:316-324. [PMID: 38340698 DOI: 10.1016/j.jpsychires.2024.01.021] [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: 10/26/2023] [Revised: 12/18/2023] [Accepted: 01/15/2024] [Indexed: 02/12/2024]
Abstract
BACKGROUND Major depressive disorder (MDD) is a heterogeneous mental disorder, and accompanying anxiety symptoms, known as anxious depression (AD), are the most common subtype. However, the pathophysiology of AD may be distinct in depressed patients without anxiety (NAD) and remains unknown. This study aimed to investigate the relationship between functional connectivity and peripheral transcriptional profiles in patients with AD and NAD. METHODS Functional imaging data were collected to identify differences in functional networks among patients with AD (n = 66), patients with NAD (n = 115), and healthy controls (HC, n = 200). The peripheral transcriptional data were clustered as co-expression modules, and their associations with AD, AND, and HC were analyzed. The gene ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) functional enrichment analyses of the genes in the significant module were performed. Correlation analysis was performed to identify functional network-associated gene co-expression modules. RESULTS A network was identified which consisted of 23 nodes and 28 edges that were significantly different among three sample groups. The regions of the network were located in temporal and occipital lobe. Two gene co-expression modules were shown to be associated with NAD, and one of which was correlated with the disrupted network in the AD group. The biological function of this module was enriched in immune regulation pathways. CONCLUSION The results suggested that immune-related mechanisms were associated with functional networks in AD.
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Affiliation(s)
- Jinxue Wei
- Mental Health Center and Psychiatric Laboratory, West China Hospital, Sichuan University, Chengdu, China
| | - Min Wang
- Mental Health Center and Psychiatric Laboratory, West China Hospital, Sichuan University, Chengdu, China
| | - Yikai Dou
- Mental Health Center and Psychiatric Laboratory, West China Hospital, Sichuan University, Chengdu, China
| | - Yu Wang
- Mental Health Center and Psychiatric Laboratory, West China Hospital, Sichuan University, Chengdu, China
| | - Yue Du
- Mental Health Center and Psychiatric Laboratory, West China Hospital, Sichuan University, Chengdu, China
| | - Liansheng Zhao
- Mental Health Center and Psychiatric Laboratory, West China Hospital, Sichuan University, Chengdu, China
| | - Rongjun Ni
- Mental Health Center and Psychiatric Laboratory, West China Hospital, Sichuan University, Chengdu, China
| | - Xiao Yang
- Mental Health Center and Psychiatric Laboratory, West China Hospital, Sichuan University, Chengdu, China
| | - Xiaohong Ma
- Mental Health Center and Psychiatric Laboratory, West China Hospital, Sichuan University, Chengdu, China.
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Liu J, Shu Y, Wu G, Hu L, Cui H. A neuroimaging study of brain activity alterations in treatment-resistant depression after a dual target accelerated transcranial magnetic stimulation. Front Psychiatry 2024; 14:1321660. [PMID: 38288056 PMCID: PMC10822961 DOI: 10.3389/fpsyt.2023.1321660] [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: 10/14/2023] [Accepted: 12/13/2023] [Indexed: 01/31/2024] Open
Abstract
In this study, we designed a new transcranial magnetic stimulation (TMS) protocol using a dual-target accelerated transcranial magnetic stimulation (aTMS) for patients with treatment resistant depression (TRD). There are 58 TRD patients were recruited from the Second People's Hospital of Guizhou Province, who were, respectively, received dual-target (real continuous theta burst stimulation (cTBS) at right orbitofrontal cortex (OFC) and real repetitive transcranial magnetic stimulation (rTMS) at left dorsolateral prefrontal cortex (DLPFC)), single- target (sham cTBS at right OFC and real rTMS at left DLPFC), and sham stimulation (sham cTBS at right OFC and sham rTMS at left DLPFC). Resting-state functional magnetic resonance imaging (rs-fMRI) was acquired before and after aTMS treatment to compare characteristics of brain activities by use of amplitude of low-frequency fluctuations (ALFF), fractional low-frequency fluctuations (fALFF) and functional connectivity (FC). At the same time, Hamilton Depression Scale-24 (HAMD24) were conducted to assess the effect. HAMD24 scores reduced significantly in dual group comparing to the single and sham group. Dual-target stimulation decreased not only the ALFF values of right fusiform gyrus (FG) and fALFF values of the left superior temporal gyrus (STG), but also the FC between the right FG and the bilateral middle frontal gyrus (MFG), left triangular part of inferior frontal gyrus (IFG). Higher fALFF value in left STG at baseline may predict better reaction for bilateral arTMS. Dual-targe stimulation can significantly change resting-state brain activities and help to improve depressive symptoms.
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Affiliation(s)
- Jiaoying Liu
- Department of Clinical Medicine, Zunyi Medical University, Zunyi, China
| | - Yanping Shu
- Department of Clinical Medicine, Zunyi Medical University, Zunyi, China
- Department of Psychiatry, The Second People's Hospital of Guizhou Province, Guiyang, China
| | - Gang Wu
- Department of Psychiatry, The Second People's Hospital of Guizhou Province, Guiyang, China
| | - Lingyan Hu
- Department of Psychiatry, The Second People's Hospital of Guizhou Province, Guiyang, China
| | - Hailun Cui
- Department of Psychiatry, University of Cambridge, Cambridge, United Kingdom
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Luo Y, Chen W, Zhan L, Qiu J, Jia T. Multi-feature concatenation and multi-classifier stacking: An interpretable and generalizable machine learning method for MDD discrimination with rsfMRI. Neuroimage 2024; 285:120497. [PMID: 38142755 DOI: 10.1016/j.neuroimage.2023.120497] [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: 08/13/2023] [Revised: 11/21/2023] [Accepted: 12/11/2023] [Indexed: 12/26/2023] Open
Abstract
Major depressive disorder (MDD) is a serious and heterogeneous psychiatric disorder that needs accurate diagnosis. Resting-state functional MRI (rsfMRI), which captures multiple perspectives on brain structure, function, and connectivity, is increasingly applied in the diagnosis and pathological research of MDD. Different machine learning algorithms are then developed to exploit the rich information in rsfMRI and discriminate MDD patients from normal controls. Despite recent advances reported, the MDD discrimination accuracy has room for further improvement. The generalizability and interpretability of the discrimination method are not sufficiently addressed either. Here, we propose a machine learning method (MFMC) for MDD discrimination by concatenating multiple features and stacking multiple classifiers. MFMC is tested on the REST-meta-MDD data set that contains 2428 subjects collected from 25 different sites. MFMC yields 96.9% MDD discrimination accuracy, demonstrating a significant improvement over existing methods. In addition, the generalizability of MFMC is validated by the good performance when the training and testing subjects are from independent sites. The use of XGBoost as the meta classifier allows us to probe the decision process of MFMC. We identify 13 feature values related to 9 brain regions including the posterior cingulate gyrus, superior frontal gyrus orbital part, and angular gyrus, which contribute most to the classification and also demonstrate significant differences at the group level. The use of these 13 feature values alone can reach 87% of MFMC's full performance when taking all feature values. These features may serve as clinically useful diagnostic and prognostic biomarkers for MDD in the future.
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Affiliation(s)
- Yunsong Luo
- College of Computer and Information Science, Southwest University, Chongqing, 400715, PR China.
| | - Wenyu Chen
- College of Computer and Information Science, Southwest University, Chongqing, 400715, PR China.
| | - Ling Zhan
- College of Computer and Information Science, Southwest University, Chongqing, 400715, PR China.
| | - Jiang Qiu
- Key Laboratory of Cognition and Personality (SWU), Ministry of Education, Chongqing, 400715, PR China; School of Psychology, Southwest University (SWU), Chongqing, 400715, PR China; Southwest University Branch, Collaborative Innovation Center of Assessment Toward Basic Education Quality at Beijing Normal University, Chongqing, 400715, PR China.
| | - Tao Jia
- College of Computer and Information Science, Southwest University, Chongqing, 400715, PR China.
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Chen S, Yin Y, Zhang Y, Yue Y, Jiang W, Hou Z, Yuan Y. Abnormal spontaneous activity of regions related to mood regulation mediates the effect of childhood emotional neglect on major depressive disorder. Psychiatry Res Neuroimaging 2023; 336:111729. [PMID: 37890409 DOI: 10.1016/j.pscychresns.2023.111729] [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: 07/06/2023] [Revised: 08/29/2023] [Accepted: 10/15/2023] [Indexed: 10/29/2023]
Abstract
This study investigated the mediating factors between childhood emotional neglect (EN) and major depressive disorder (MDD) and whether combining multi-indicator could help diagnose MDD. Regional homogeneity (ReHo) and clinical features were compared between 33 MDD patients and 36 healthy controls (HC). Mediation analysis was employed to explore whether social support or ReHo mediates the association between EN and MDD. The linear discriminant analysis model was constructed with EN, social support, and ReHo, and applied to distinguish MDD from HC in both primary and replication cohorts. We found that MDD patients experienced severer EN and poorer social support, and exhibited lower ReHo in the left middle occipital gyrus and bilateral postcentral gyrus, and higher ReHo in the right cerebellum crus1. EN could affect MDD directly and indirectly through ReHo in these discrepant brain regions and social support. Combining ReHo values of these four distinct brain regions, EN, and objective support could classify MDD patients from HC, and the 10-fold cross-validation accuracy within-study replication and in the independent cohort was 83.78 % ± 1.49 % and 82.72 % ± 2.22 %, respectively. These findings suggested that childhood EN, social support, and emotional-related regions' ReHo were associated with risks of MDD, providing new insights into the pathological mechanisms underlying MDD.
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Affiliation(s)
- Suzhen Chen
- Department of Psychosomatics and Psychiatry, ZhongDa Hospital, School of Medicine, Southeast University, Nanjing, China; Institute of Psychosomatics, School of Medicine, Southeast University, Nanjing, China
| | - Yingying Yin
- Department of Psychosomatics and Psychiatry, ZhongDa Hospital, School of Medicine, Southeast University, Nanjing, China; Institute of Psychosomatics, School of Medicine, Southeast University, Nanjing, China
| | - Yuqun Zhang
- School of Nursing, Nanjing University of Chinese Medicine, Nanjing, China
| | - Yingying Yue
- Department of Psychosomatics and Psychiatry, ZhongDa Hospital, School of Medicine, Southeast University, Nanjing, China; Institute of Psychosomatics, School of Medicine, Southeast University, Nanjing, China
| | - Wenhao Jiang
- Department of Psychosomatics and Psychiatry, ZhongDa Hospital, School of Medicine, Southeast University, Nanjing, China; Institute of Psychosomatics, School of Medicine, Southeast University, Nanjing, China
| | - Zhenghua Hou
- Department of Psychosomatics and Psychiatry, ZhongDa Hospital, School of Medicine, Southeast University, Nanjing, China; Institute of Psychosomatics, School of Medicine, Southeast University, Nanjing, China
| | - Yonggui Yuan
- Department of Psychosomatics and Psychiatry, ZhongDa Hospital, School of Medicine, Southeast University, Nanjing, China; Institute of Psychosomatics, School of Medicine, Southeast University, Nanjing, China; Key Laboratory of Developmental Genes and Human Disease, Southeast University, Nanjing, China.
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Lu F, Cui Q, Zou Y, Guo Y, Luo W, Yu Y, Gao J, Cai X, Fu L, Yuan S, Huang J, Zhang Y, Xie J, Sheng W, Tang Q, Gao Q, He Z, Chen H. Effects of rTMS Intervention on Functional Neuroimaging Activities in Adolescents with Major Depressive Disorder Measured Using Resting-State fMRI. Bioengineering (Basel) 2023; 10:1374. [PMID: 38135965 PMCID: PMC10740826 DOI: 10.3390/bioengineering10121374] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/25/2023] [Revised: 11/10/2023] [Accepted: 11/22/2023] [Indexed: 12/24/2023] Open
Abstract
Repetitive transcranial magnetic stimulation (rTMS) to the left dorsolateral prefrontal cortex (L-DLPFC) is commonly used for the clinical treatment of major depressive disorder (MDD). The neuroimaging biomarkers and mechanisms of rTMS are still not completely understood. This study aimed to explore the functional neuroimaging changes induced by rTMS in adolescents with MDD. A total of ten sessions of rTMS were administrated to the L-DLPFC in thirteen adolescents with MDD once a day for two weeks. All of them were scanned using resting-state functional magnetic resonance imaging at baseline and after rTMS treatment. The regional homogeneity (ReHo), amplitude of low-frequency fluctuation (ALFF), and the subgenual anterior cingulate cortex (sgACC)-based functional connectivity (FC) were computed as neuroimaging indicators. The correlation between changes in the sgACC-based FC and the improvement in depressive symptoms was also analyzed. After rTMS treatment, ReHo and ALFF were significantly increased in the L-DLPFC, the left medial prefrontal cortex, bilateral medial orbital frontal cortex, and the left ACC. ReHo and ALFF decreased mainly in the left middle occipital gyrus, the right middle cingulate cortex (MCC), bilateral calcarine, the left cuneus, and the left superior occipital gyrus. Furthermore, the FCs between the left sgACC and the L-DLPFC, the right IFGoper, the left MCC, the left precuneus, bilateral post-central gyrus, the left supplementary motor area, and the left superior marginal gyrus were enhanced after rTMS treatment. Moreover, the changes in the left sgACC-left MCC FC were associated with an improvement in depressive symptoms in early improvers. This study showed that rTMS treatment in adolescents with MDD causes changes in brain activities and sgACC-based FC, which may provide basic neural biomarkers for rTMS clinical trials.
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Affiliation(s)
- 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 611731, China; (F.L.); (Y.Z.); (Y.G.); (W.L.); (Y.Y.); (X.C.); (L.F.); (S.Y.); (J.H.); (Y.Z.); (J.X.); (W.S.); (Q.T.)
| | - Qian Cui
- School of Public Affairs and Administration, University of Electronic Science and Technology of China, Chengdu 611731, China
| | - Yang Zou
- The Clinical Hospital of Chengdu Brain Science Institute, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu 611731, China; (F.L.); (Y.Z.); (Y.G.); (W.L.); (Y.Y.); (X.C.); (L.F.); (S.Y.); (J.H.); (Y.Z.); (J.X.); (W.S.); (Q.T.)
| | - 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 611731, China; (F.L.); (Y.Z.); (Y.G.); (W.L.); (Y.Y.); (X.C.); (L.F.); (S.Y.); (J.H.); (Y.Z.); (J.X.); (W.S.); (Q.T.)
| | - Wei Luo
- The Clinical Hospital of Chengdu Brain Science Institute, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu 611731, China; (F.L.); (Y.Z.); (Y.G.); (W.L.); (Y.Y.); (X.C.); (L.F.); (S.Y.); (J.H.); (Y.Z.); (J.X.); (W.S.); (Q.T.)
| | - Yue Yu
- The Clinical Hospital of Chengdu Brain Science Institute, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu 611731, China; (F.L.); (Y.Z.); (Y.G.); (W.L.); (Y.Y.); (X.C.); (L.F.); (S.Y.); (J.H.); (Y.Z.); (J.X.); (W.S.); (Q.T.)
| | - Jingjing Gao
- School of Information and Communication Engineering, University of Electronic Science and Technology of China, Chengdu 611731, China;
| | - Xiao Cai
- The Clinical Hospital of Chengdu Brain Science Institute, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu 611731, China; (F.L.); (Y.Z.); (Y.G.); (W.L.); (Y.Y.); (X.C.); (L.F.); (S.Y.); (J.H.); (Y.Z.); (J.X.); (W.S.); (Q.T.)
| | - Linna Fu
- The Clinical Hospital of Chengdu Brain Science Institute, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu 611731, China; (F.L.); (Y.Z.); (Y.G.); (W.L.); (Y.Y.); (X.C.); (L.F.); (S.Y.); (J.H.); (Y.Z.); (J.X.); (W.S.); (Q.T.)
| | - Shuai Yuan
- The Clinical Hospital of Chengdu Brain Science Institute, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu 611731, China; (F.L.); (Y.Z.); (Y.G.); (W.L.); (Y.Y.); (X.C.); (L.F.); (S.Y.); (J.H.); (Y.Z.); (J.X.); (W.S.); (Q.T.)
| | - Juan Huang
- The Clinical Hospital of Chengdu Brain Science Institute, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu 611731, China; (F.L.); (Y.Z.); (Y.G.); (W.L.); (Y.Y.); (X.C.); (L.F.); (S.Y.); (J.H.); (Y.Z.); (J.X.); (W.S.); (Q.T.)
| | - Yajun Zhang
- The Clinical Hospital of Chengdu Brain Science Institute, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu 611731, China; (F.L.); (Y.Z.); (Y.G.); (W.L.); (Y.Y.); (X.C.); (L.F.); (S.Y.); (J.H.); (Y.Z.); (J.X.); (W.S.); (Q.T.)
| | - Jing Xie
- The Clinical Hospital of Chengdu Brain Science Institute, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu 611731, China; (F.L.); (Y.Z.); (Y.G.); (W.L.); (Y.Y.); (X.C.); (L.F.); (S.Y.); (J.H.); (Y.Z.); (J.X.); (W.S.); (Q.T.)
| | - 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 611731, China; (F.L.); (Y.Z.); (Y.G.); (W.L.); (Y.Y.); (X.C.); (L.F.); (S.Y.); (J.H.); (Y.Z.); (J.X.); (W.S.); (Q.T.)
| | - 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 611731, China; (F.L.); (Y.Z.); (Y.G.); (W.L.); (Y.Y.); (X.C.); (L.F.); (S.Y.); (J.H.); (Y.Z.); (J.X.); (W.S.); (Q.T.)
| | - Qing Gao
- School of Mathematical Sciences, University of Electronic Science and Technology of China, Chengdu 611731, 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 611731, China; (F.L.); (Y.Z.); (Y.G.); (W.L.); (Y.Y.); (X.C.); (L.F.); (S.Y.); (J.H.); (Y.Z.); (J.X.); (W.S.); (Q.T.)
| | - 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 611731, China; (F.L.); (Y.Z.); (Y.G.); (W.L.); (Y.Y.); (X.C.); (L.F.); (S.Y.); (J.H.); (Y.Z.); (J.X.); (W.S.); (Q.T.)
- MOE Key Lab for Neuroinformation, University of Electronic Science and Technology of China, Chengdu 611731, China
- High-Field Magnetic Resonance Brain Imaging Key Laboratory of Sichuan Province, University of Electronic Science and Technology of China, Chengdu 611731, China
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Yi L, Xie G, Li Z, Li X, Zhang Y, Wu K, Shao G, Lv B, Jing H, Zhang C, Liang W, Sun J, Hao Z, Liang J. Automatic depression diagnosis through hybrid EEG and near-infrared spectroscopy features using support vector machine. Front Neurosci 2023; 17:1205931. [PMID: 37694121 PMCID: PMC10483285 DOI: 10.3389/fnins.2023.1205931] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/14/2023] [Accepted: 08/10/2023] [Indexed: 09/12/2023] Open
Abstract
Depression is a common mental disorder that seriously affects patients' social function and daily life. Its accurate diagnosis remains a big challenge in depression treatment. In this study, we used electroencephalography (EEG) and functional near-infrared spectroscopy (fNIRS) and measured the whole brain EEG signals and forehead hemodynamic signals from 25 depression patients and 30 healthy subjects during the resting state. On one hand, we explored the EEG brain functional network properties, and found that the clustering coefficient and local efficiency of the delta and theta bands in patients were significantly higher than those in normal subjects. On the other hand, we extracted brain network properties, asymmetry, and brain oxygen entropy as alternative features, used a data-driven automated method to select features, and established a support vector machine model for automatic depression classification. The results showed the classification accuracy was 81.8% when using EEG features alone and increased to 92.7% when using hybrid EEG and fNIRS features. The brain network local efficiency in the delta band, hemispheric asymmetry in the theta band and brain oxygen sample entropy features differed significantly between the two groups (p < 0.05) and showed high depression distinguishing ability indicating that they may be effective biological markers for identifying depression. EEG, fNIRS and machine learning constitute an effective method for classifying depression at the individual level.
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Affiliation(s)
- Li Yi
- School of Mechatronic Engineering and Automation, Foshan University, Foshan, China
| | - Guojun Xie
- Department of Psychiatry, The Third People’s Hospital of Foshan, Foshan, China
- Department of Psychiatry, The Third Affiliated Hospital of Foshan University, Foshan, China
| | - Zhihao Li
- School of Medicine, Foshan University, Foshan, China
| | - Xiaoling Li
- Department of Psychiatry, The Third People’s Hospital of Foshan, Foshan, China
- Department of Psychiatry, The Third Affiliated Hospital of Foshan University, Foshan, China
| | - Yizheng Zhang
- School of Mechatronic Engineering and Automation, Foshan University, Foshan, China
| | - Kai Wu
- School of Biomedical Sciences and Engineering, South China University of Technology, Guangzhou, China
| | - Guangjian Shao
- School of Mechatronic Engineering and Automation, Foshan University, Foshan, China
| | - Biliang Lv
- School of Medicine, Foshan University, Foshan, China
| | - Huan Jing
- Department of Psychiatry, The Third People’s Hospital of Foshan, Foshan, China
- Department of Psychiatry, The Third Affiliated Hospital of Foshan University, Foshan, China
| | - Chunguo Zhang
- Department of Psychiatry, The Third People’s Hospital of Foshan, Foshan, China
- Department of Psychiatry, The Third Affiliated Hospital of Foshan University, Foshan, China
| | - Wenting Liang
- Department of Psychiatry, The Third People’s Hospital of Foshan, Foshan, China
- Department of Psychiatry, The Third Affiliated Hospital of Foshan University, Foshan, China
| | - Jinyan Sun
- School of Medicine, Foshan University, Foshan, China
| | - Zhifeng Hao
- College of Science, Shantou University, Shantou, China
| | - Jiaquan Liang
- Department of Psychiatry, The Third People’s Hospital of Foshan, Foshan, China
- Department of Psychiatry, The Third Affiliated Hospital of Foshan University, Foshan, China
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10
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Hidalgo-Lopez E, Engman J, Poromaa IS, Gingnell M, Pletzer B. Triple network model of brain connectivity changes related to adverse mood effects in an oral contraceptive placebo-controlled trial. Transl Psychiatry 2023; 13:209. [PMID: 37328507 DOI: 10.1038/s41398-023-02470-x] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/16/2022] [Revised: 05/02/2023] [Accepted: 05/12/2023] [Indexed: 06/18/2023] Open
Abstract
Combined oral contraceptives (COC) are among the most commonly used contraceptive methods worldwide, and mood side effects are the major reason for discontinuation of treatment. We here investigate the directed connectivity patterns associated with the mood side effects of an androgenic COC in a double-blind randomized, placebo-controlled trial in women with a history of affective COC side effects (n = 34). We used spectral dynamic causal modeling on a triple network model consisting of the default mode network (DMN), salience network (SN) and executive control network (ECN). Within this framework, we assessed the treatment-related changes in directed connectivity associated with adverse mood side effects. Overall, during COC use, we found a pattern of enhanced connectivity within the DMN and decreased connectivity within the ECN. The dorsal anterior cingulate cortex (SN) mediates an increased recruitment of the DMN by the ECN during treatment. Mood lability was the most prominent COC-induced symptom and also arose as the side effect most consistently related to connectivity changes. Connections that were related to increased mood lability showed increased connectivity during COC treatment, while connections that were related to decreased mood lability showed decreased connectivity during COC treatment. Among these, the connections with the highest effect size could also predict the participants' treatment group above chance.
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Affiliation(s)
- Esmeralda Hidalgo-Lopez
- Department of Psychology, University of Salzburg, Salzburg, Austria.
- Centre for Cognitive Neuroscience, University of Salzburg, Salzburg, Austria.
- Department of Psychology, University of Michigan, Ann Arbor, MI, USA.
- Department of Anesthesiology, Chronic Pain and Fatigue Research Center, University of Michigan, Ann Arbor, MI, USA.
| | - Jonas Engman
- Department of Psychology, Uppsala University, 751 85, Uppsala, Sweden
| | - Inger Sundström Poromaa
- Department of Women's and Children's Health, Uppsala University, 751 85, Uppsala, Sweden
- Centre for Women's Mental Health during the Reproductive Lifespan, Uppsala University, 751 85, Uppsala, Sweden
| | - Malin Gingnell
- Department of Psychology, Uppsala University, 751 85, Uppsala, Sweden
- Department of Women's and Children's Health, Uppsala University, 751 85, Uppsala, Sweden
- Department of Medical Sciences, Uppsala University, 751 85, Uppsala, Sweden
| | - Belinda Pletzer
- Department of Psychology, University of Salzburg, Salzburg, Austria.
- Centre for Cognitive Neuroscience, University of Salzburg, Salzburg, Austria.
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11
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Huang P, Chan SY, Ngoh ZM, Nadarajan R, Chong YS, Gluckman PD, Chen H, Fortier MV, Tan AP, Meaney MJ. Functional connectivity analysis of childhood depressive symptoms. Neuroimage Clin 2023; 38:103395. [PMID: 37031637 PMCID: PMC10120398 DOI: 10.1016/j.nicl.2023.103395] [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: 10/02/2022] [Revised: 03/26/2023] [Accepted: 03/27/2023] [Indexed: 04/09/2023]
Abstract
BACKGROUND Childhood depression is a highly distinct and prevalent condition with an unknown neurobiological basis. We wish to explore the resting state fMRI data in children for potential associations between neural connectivity and childhood depressive symptoms. METHODS A longitudinal birth cohort study with neuroimaging data obtained at 4.5, 6.0 and 7.5 years of age and the Children Depression Inventory 2 (CDI) administered between 8.5 and 10.5 years was used. The CDI score was used as the dependent variable and tested for correlation, both simple Pearson and network based statistic, with the functional connectivity values obtained from the resting state fMRI. Cross-validated permutation testing with a general linear model was used to validate that the identified functional connections were indeed implicated in childhood depression. RESULTS Ten functional connections and four brain regions (Somatomotor Area B, Temporoparietal Junction, Orbitofrontal Cortex and Insula) were identified as significantly associated with childhood depressive symptoms for girls at 6.0 and 7.5 years. No significant functional connections were found in girls at 4.5 years or for boys at any timepoint. Network based statistic and permutation testing confirmed these findings. CONCLUSIONS This study revealed significant sex-dependent associations of neural connectivity and childhood depressive symptoms. The regions identified are implicated in speech/language, social cognition and information integration and suggest unique pathways to childhood depressive symptoms.
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Affiliation(s)
- Pei Huang
- Singapore Institute for Clinical Sciences, Agency for Science and Technology, Singapore.
| | - Shi Yu Chan
- Singapore Institute for Clinical Sciences, Agency for Science and Technology, Singapore
| | - Zhen Ming Ngoh
- Singapore Institute for Clinical Sciences, Agency for Science and Technology, Singapore; Yong Loo Lin School of Medicine, National University of Singapore, Singapore
| | - Ranjani Nadarajan
- Department of Psychiatry, Douglas Mental Health University Institute, McGill University, Montreal, Quebec, Canada
| | - Yap Seng Chong
- Singapore Institute for Clinical Sciences, Agency for Science and Technology, Singapore; Department of Obstetrics & Gynaecology, National University Hospital Singapore, Singapore
| | - Peter D Gluckman
- Singapore Institute for Clinical Sciences, Agency for Science and Technology, Singapore; Centre for Human Evolution, Adaptation and Disease, Liggins Institute, University of Auckland, Auckland, New Zealand
| | - Helen Chen
- Department of Psychological Medicine, KK Women's and Children's Hospital, Singapore; Duke-National University of Singapore, Singapore
| | - Marielle V Fortier
- Singapore Institute for Clinical Sciences, Agency for Science and Technology, Singapore; Department of Diagnostic and Interventional Radiology, KK Women's and Children's Hospital, Singapore
| | - Ai Peng Tan
- Singapore Institute for Clinical Sciences, Agency for Science and Technology, Singapore; Department of Diagnostic Imaging, National University Hospital Singapore, Singapore
| | - Michael J Meaney
- Singapore Institute for Clinical Sciences, Agency for Science and Technology, Singapore; Yong Loo Lin School of Medicine, National University of Singapore, Singapore; Department of Psychiatry, Douglas Mental Health University Institute, McGill University, Montreal, Quebec, Canada; Brain - Body Initiative, Agency for Science and Technology, Singapore
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12
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Li B, Zhang S, Li S, Liu K, Hou X. Aberrant resting-state regional activity in patients with postpartum depression. Front Hum Neurosci 2023; 16:925543. [PMID: 36741780 PMCID: PMC9893784 DOI: 10.3389/fnhum.2022.925543] [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: 04/21/2022] [Accepted: 12/07/2022] [Indexed: 01/20/2023] Open
Abstract
Background Postpartum depression (PPD) is a common disorder with corresponding cognitive impairments such as depressed mood, memory deficits, poor concentration, and declining executive functions, but little is known about its underlying neuropathology. Method A total of 28 patients with PPD and 29 healthy postpartum women were recruited. Resting-state functional magnetic resonance imaging (rs-fMRI) scans were performed in the fourth week after delivery. Individual local activity of PPD patients was observed by regional homogeneity (ReHo) during resting state, and the ReHo value was computed as Kendall's coecient of concordance (KCC) and analyzed for differences between voxel groups. Correlations between ReHo values and clinical variables were also analyzed. Result Compared with healthy postpartum women, patients with PPD exhibited significantly higher ReHo values in the left precuneus and right hippocampus. ReHo value was significantly lower in the left dorsolateral prefrontal cortex (dlPFC) and right insula. Furthermore, ReHo values within the dlPFC were negatively correlated with the Edinburgh PPD scale (EPDS) score. The functional connectivity (FC) of the right hippocampus to the left precuneus and left superior frontal gyrus (SFG) was stronger in patients with PPD than that in controls. Conclusion The present study provided evidence of aberrant regional functional activity and connectivity within brain regions in PPD, and it may contribute to further understanding of the neuropathology underlying PPD.
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Affiliation(s)
- Bo Li
- Department of Radiology, The 960th Hospital of the PLA Joint Logistics Support Force, Jinan, China
| | - Shufen Zhang
- Department of Obstetrics, Shandong Second Provincial General Hospital, Jinan, China
| | - Shuyan Li
- Foreign Languages College, Shandong University of Traditional Chinese Medicine, Jinan, Shandong, China
| | - Kai Liu
- Department of Radiology, The 960th Hospital of the PLA Joint Logistics Support Force, Jinan, China
| | - Xiaoming Hou
- Department of Pediatrics, Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, China,*Correspondence: Xiaoming Hou ✉
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13
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Ye S, Wang M, Yang Q, Dong H, Dong GH. Predicting the severity of internet gaming disorder with resting-state brain features: A multi-voxel pattern analysis. J Affect Disord 2022; 318:113-122. [PMID: 36031000 DOI: 10.1016/j.jad.2022.08.078] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/07/2021] [Revised: 06/09/2022] [Accepted: 08/22/2022] [Indexed: 11/18/2022]
Abstract
BACKGROUND Internet gaming disorder (IGD) has become a worldwide mental health concern; however, the neural mechanism underlying this disorder remains unclear. Multivoxel pattern analysis (MVPA), a newly developed data-driven approach, can be used to investigate the neural features of IGD based on massive neural data. METHODS Resting-state fMRI data from four hundred and two participants with varying levels of IGD severity were recruited. Regional homogeneity (ReHo) and the amplitude of low-frequency fluctuation (ALFF) were calculated and subsequently decoded by applying MVPA. The highly weighted regions in both predictive models were selected as regions of interest for further graph theory and Granger causality analysis (GCA) to explore how they affect IGD severity. RESULTS The results revealed that the neural patterns of ReHo and ALFF can independently and significantly predict IGD severity. The highly weighted regions that contributed to both predictive models were the right precentral gyrus and left postcentral gyrus. Moreover, topological properties of the right precentral gyrus were significantly correlated with IGD severity; further GCA revealed effective connectivity from the right precentral gyrus to left precentral gyrus and dorsal anterior cingulate cortex, both of which were significantly associated with IGD severity. CONCLUSIONS The present study demonstrated that IGD has distinctive neural patterns, and this pattern could be found by machine learning. In addition, the neural features in the right precentral gyrus play a key role in predicting IGD severity. The current study revealed the neural features of IGD and provided a potential target for IGD interventions using brain modulation.
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Affiliation(s)
- Shuer Ye
- Department of Psychology, Jing Hengyi School of Education, Hangzhou Normal University, Hangzhou, PR China; Center for Cognition and Brain Disorders, the Affiliated Hospital of Hangzhou Normal University, Hangzhou, PR China; Zhejiang Key Laboratory for Research in Assessment of Cognitive Impairments, Hangzhou, Zhejiang Province, PR China; Kavli Institute for Systems Neuroscience, Norwegian University of Science and Technology, Trondheim, Norway
| | - Min Wang
- Center for Cognition and Brain Disorders, the Affiliated Hospital of Hangzhou Normal University, Hangzhou, PR China; Zhejiang Key Laboratory for Research in Assessment of Cognitive Impairments, Hangzhou, Zhejiang Province, PR China
| | - Qun Yang
- Department of Psychology, Jing Hengyi School of Education, Hangzhou Normal University, Hangzhou, PR China.
| | - Haohao Dong
- Department of Psychology, Zhejiang Normal University, Jinhua, PR China
| | - Guang-Heng Dong
- Center for Cognition and Brain Disorders, the Affiliated Hospital of Hangzhou Normal University, Hangzhou, PR China; Zhejiang Key Laboratory for Research in Assessment of Cognitive Impairments, Hangzhou, Zhejiang Province, PR China.
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14
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Electroconvulsive therapy changes temporal dynamics of intrinsic brain activity in depressed patients. Psychiatry Res 2022; 316:114732. [PMID: 35926361 DOI: 10.1016/j.psychres.2022.114732] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/19/2021] [Revised: 07/14/2022] [Accepted: 07/16/2022] [Indexed: 11/24/2022]
Abstract
Electroconvulsive therapy (ECT) has been demonstrated to be effective in treating depressed patients. Previous neuroimaging studies have focused mainly on alterations in static brain activity and connectivity to study the effects of ECT in depressed patients. However, it remains unclear whether the temporal dynamics of brain activity are associated with mechanisms of ECT in depressed patients. We measured the dynamics of spontaneous brain activity using dynamic amplitude of low-frequency fluctuation (dALFF) in healthy controls (n = 40) and patients diagnosed with unipolar depression (UD, n = 36) or bipolar disorder (BD, n = 9) before and after ECT. Furthermore, the temporal variability of intrinsic brain activity (iBA) was quantified as the variance of dALFF across sliding window. In addition, correlation analysis was performed to investigate the relationships among dALFF, depressive symptoms, and cognitive function in depressed patients. We lack second resting-state functional magnetic resonance imaging (rs-fMRI) data for healthy controls. After ECT, patients showed decreased brain dynamics (less temporal variability) in the right dorsal anterior cingulate cortex (dACC) and the right precuneus, whereas they showed increased brain dynamics in the bilateral superior medial frontal cortex (mSFC). No significant correlation was found between the dALFF and clinical variables in depressed patients. Our findings suggest that right dACC, right precuneus, and bilateral mSFC play an important role in response to ECT depressed patients from the perspective of dynamic local brain activity, indicating that the dALFF variability may be useful in further understanding the mechanisms of ECT's antidepressant effects.
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15
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Wu Z, Wang C, Dai Y, Xiao C, Zhang N, Zhong Y. The effect of early cognitive behavior therapy for first-episode treatment-naive major depressive disorder. J Affect Disord 2022; 308:31-38. [PMID: 35398109 DOI: 10.1016/j.jad.2022.04.008] [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: 09/18/2021] [Revised: 02/21/2022] [Accepted: 04/03/2022] [Indexed: 10/18/2022]
Abstract
BACKGROUND Major depressive disorder (MDD) is one of the most prevalent psychiatric disorders. Cognitive behavioral therapy (CBT) has been widely applied in MDD treatment, yet mechanistic understanding toward CBT remains limited. METHODS Twenty-two MDD patients and twenty-seven matched healthy controls were enrolled. Patients with MDD were given structural early CBT treatment once a week for 6 weeks. Cognitive reconstruction, emotional transformation and behavioral training were included in the treatment process. Local and long-range brain functional connectivity densities (FCD) were obtained to identify abnormal connectivity of MDD by using resting-state functional magnetic resonance imaging (RS-fMRI). RESULTS After CBT treatment, MDD patients showed increased FCD in the bilateral dorsolateral prefrontal cortex (dlPFC). Functional connectivity (FC) was used to further explore the role of dlPFC in CBT. The results revealed that by the completion of CBT treatment course, the FC between the dlPFC and hippocampus was enhanced. CONCLUSIONS Cognitive behavioral therapy played significant role in alleviating depressive symptoms of MDD patients, evidenced by improved brain connectivity between dlPFC and hippocampus. Further study of dlPFC pathophysiology is needed to better understand these abnormalities in patients with depressive symptoms and the effect of early CBT treatment.
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Affiliation(s)
- Zhou Wu
- School of Psychology, Nanjing Normal University, Nanjing 210097, Jiangsu, China; Jiangsu Key Laboratory of Mental Health and Cognitive Science, Nanjing Normal University, Nanjing 210097, China
| | - Chun Wang
- Nanjing Brain Hospital Affiliated to Nanjing Medical University, Nanjing, Jiangsu 210029, China; Functional Brain Imaging Institute of Nanjing Medical University, Nanjing, Jiangsu 210029, China; Cognitive Behavioral Therapy Institute of Nanjing Medical University, Nanjing, 210029, Jiangsu, China
| | - Yingliang Dai
- School of Psychology, Nanjing Normal University, Nanjing 210097, Jiangsu, China; Jiangsu Key Laboratory of Mental Health and Cognitive Science, Nanjing Normal University, Nanjing 210097, China
| | - Chaoyong Xiao
- Nanjing Brain Hospital Affiliated to Nanjing Medical University, Nanjing, Jiangsu 210029, China
| | - Ning Zhang
- Nanjing Brain Hospital Affiliated to Nanjing Medical University, Nanjing, Jiangsu 210029, China
| | - Yuan Zhong
- School of Psychology, Nanjing Normal University, Nanjing 210097, Jiangsu, China; Jiangsu Key Laboratory of Mental Health and Cognitive Science, Nanjing Normal University, Nanjing 210097, China.
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16
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Li Y, Li C, Jiang L. Well-Being Is Associated With Local to Remote Cortical Connectivity. Front Behav Neurosci 2022; 16:737121. [PMID: 35368310 PMCID: PMC8967134 DOI: 10.3389/fnbeh.2022.737121] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/06/2021] [Accepted: 02/07/2022] [Indexed: 11/13/2022] Open
Abstract
Wellbeing refers to cognitive and emotional appraisal of an individual’s life and social functioning, which is of great significance to the quality of life of an individual and society. Previous studies have revealed the neural basis of wellbeing, which mostly focused on human brain morphology or network-level connectivity. However, local-to-remote cortical connectivity, which plays a crucial role in defining the human brain architecture, has not been investigated in wellbeing. To examine whether wellbeing was associated with local-to-remote cortical connectivity, we acquired resting-state images from 60 healthy participants and employed the Mental Health Continuum Short Form to measure wellbeing, including three dimensions, namely, emotional wellbeing, psychological wellbeing, and social wellbeing. Functional homogeneity (ReHo) and seed-based functional connectivity were used to evaluate local-to-remote cortical connectivity in these participants. For local connectivity, our results showed that ReHo in the right orbitofrontal sulcus was significantly positively correlated with psychological wellbeing but negatively correlated with social wellbeing. For remote connectivity, connectivity within the right orbitofrontal cortex and interhemispheric connectivity of the orbitofrontal sulcus were both positively associated with psychological wellbeing; functional connectivity between the right orbitofrontal sulcus and the left postcentral sulcus was positively associated with social wellbeing. Our results showed that wellbeing was indeed associated with local-to-remote cortical connectivity, and our findings supplied a new perspective of distance-related neural mechanisms of wellbeing.
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Affiliation(s)
- Yubin Li
- CAS Key Laboratory of Behavioral Science, Institute of Psychology, Beijing, China
- Department of Psychology, University of Chinese Academy of Sciences, Beijing, China
| | - Chunlin Li
- CAS Key Laboratory of Behavioral Science, Institute of Psychology, Beijing, China
- Department of Psychology, University of Chinese Academy of Sciences, Beijing, China
| | - Lili Jiang
- CAS Key Laboratory of Behavioral Science, Institute of Psychology, Beijing, China
- Department of Psychology, University of Chinese Academy of Sciences, Beijing, China
- *Correspondence: Lili Jiang,
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17
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Zhang A, Wang X, Li J, Jing L, Hu X, Li H, Yang C, Zhang K, Sun N. Resting-State fMRI in Predicting Response to Treatment With SSRIs in First-Episode, Drug-Naive Patients With Major Depressive Disorder. Front Neurosci 2022; 16:831278. [PMID: 35250466 PMCID: PMC8888836 DOI: 10.3389/fnins.2022.831278] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/08/2021] [Accepted: 01/27/2022] [Indexed: 01/01/2023] Open
Abstract
Objective For major depressive disorder (MDD), there has been a lack of neuroimaging markers of efficacy of pharmacological treatment. In this study, we aimed to explore the neuroimaging mechanisms in patients with first-episode MDD and identify markers that predict the efficacy of 5-hydroxytryptamine reuptake inhibitors (SSRIs) with the use of resting-state brain imaging technology. Methods A total of 101 patients with first-episode MDD and 53 normal controls were finally included in this study. Based on the reduction rate of the score of Hamilton Depression Rating Scale (HAMD-17) during the 2-week SSRI treatment, 31 patients were assigned into the unresponsive group and 32 were assigned into the responsive group. The brain function was compared between patients with MDD and normal controls, and the diagnostic value of brain function was analyzed. With brain regions showing differences between patients with MDD and normal controls as a mask, and the brain function between the responsive and unresponsive groups were compared. Correlations between brain function the HAMD-17 score reduction rate during the 2-week SSRI treatment were analyzed. Results Compared to normal controls, patients with MDD showed increased ReHo in the left parahippocampal gyrus and right parahippocampal gyrus, decreased ReHo in the right middle occipital gyrus, and decreased functional connectivity between the right and left parahippocampal gyri, right middle occipital gyrus and middle temporal gyrus. Receiver operator characteristic (ROC) curve analysis showed that the area under the curve (AUC) was 0.544 (95% CI: 0.445–0.644) for ReHo and 0.822 (95% CI: 0.734–0.909) for functional connectivity. Logistic regression pooling of the differences in ReHo mean time series with the functional connectivity mean time series was performed for the ROC curve analysis, which showed an AUC of 0.832 (95% CI: 0.752–0.911). Compared to the responsive group, the unresponsive group showed elevated ReHo in the right parahippocampal gyrus and lower functional connectivity in the middle temporal gyrus. We also found that the ReHo value was negatively correlated with the HAMD-17 score reduction after 2 weeks of SSRI treatment. Conclusion Altered resting-state brain function in some regions might be a neurobiological marker for the diagnosis of MDD, and ReHo values are expected to be predictors of patient response to treatment with SSRIs. Clinical Trial Registration [http://www.chictr.org.cn/], identifier [ChiCTR1900028722].
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Affiliation(s)
- Aixia Zhang
- Department of Psychiatry, First Hospital of Shanxi Medical University, Taiyuan, China
- First Clinical Medical College of Shanxi Medical University, Taiyuan, China
| | - Xin Wang
- Department of Psychiatry, First Hospital of Shanxi Medical University, Taiyuan, China
- First Clinical Medical College of Shanxi Medical University, Taiyuan, China
| | - Jianying Li
- Department of Psychiatry, First Hospital of Shanxi Medical University, Taiyuan, China
- First Clinical Medical College of Shanxi Medical University, Taiyuan, China
| | - Lin Jing
- Department of Psychiatry, First Hospital of Shanxi Medical University, Taiyuan, China
- First Clinical Medical College of Shanxi Medical University, Taiyuan, China
| | - Xiaodong Hu
- Department of Psychiatry, First Hospital of Shanxi Medical University, Taiyuan, China
- First Clinical Medical College of Shanxi Medical University, Taiyuan, China
| | - Hejun Li
- Department of Psychiatry, First Hospital of Shanxi Medical University, Taiyuan, China
- First Clinical Medical College of Shanxi Medical University, Taiyuan, China
| | - Chunxia Yang
- Department of Psychiatry, First Hospital of Shanxi Medical University, Taiyuan, China
- First Clinical Medical College of Shanxi Medical University, Taiyuan, China
| | - Kerang Zhang
- Department of Psychiatry, First Hospital of Shanxi Medical University, Taiyuan, China
- First Clinical Medical College of Shanxi Medical University, Taiyuan, China
- *Correspondence: Kerang Zhang,
| | - Ning Sun
- Department of Psychiatry, First Hospital of Shanxi Medical University, Taiyuan, China
- First Clinical Medical College of Shanxi Medical University, Taiyuan, China
- Department of Mental Health, Shanxi Medical University, Taiyuan, China
- Ning Sun,
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Moraga-Amaro R, Guerrin CGJ, Reali Nazario L, Lima Giacobbo B, J O Dierckx RA, Stehberg J, de Vries EFJ, Doorduin J. A single dose of ketamine cannot prevent protracted stress-induced anhedonia and neuroinflammation in rats. Stress 2022; 25:145-155. [PMID: 35384793 DOI: 10.1080/10253890.2022.2045269] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/25/2022] Open
Abstract
Worldwide, millions of people suffer from treatment-resistant depression. Ketamine, a glutamatergic receptor antagonist, can have a rapid antidepressant effect even in treatment-resistant patients. A proposed mechanism for the antidepressant effect of ketamine is the reduction of neuroinflammation. To further explore this hypothesis, we investigated whether a single dose of ketamine can modulate protracted neuroinflammation in a repeated social defeat (RSD) stress rat model, which resembles features of depression. To this end, male animals exposed to RSD were injected with ketamine (20 mg/kg) or vehicle. A combination of behavioral analyses and PET scans of the inflammatory marker TSPO in the brain were performed. Rats submitted to RSD showed anhedonia-like behavior in the sucrose preference test, decreased weight gain, and increased TSPO levels in the insular and entorhinal cortices, as observed by [11C]-PK11195 PET. Whole brain TSPO levels correlated with corticosterone levels in several brain regions of RSD exposed animals, but not in controls. Ketamine injection 1 day after RSD disrupted the correlation between TSPO levels and serum corticosterone levels, but had no effect on depressive-like symptoms, weight gain or the protracted RSD-induced increase in TSPO expression in male rats. These results suggest that ketamine does not exert its effect on the hypothalamic-pituitary-adrenal axis by modulation of neuroinflammation.
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Affiliation(s)
- Rodrigo Moraga-Amaro
- Department of Nuclear Medicine and Medical Imaging, University Medical Center Groningen, University of Groningen, Groningen, GZ, The Netherlands
| | - Cyprien G J Guerrin
- Department of Nuclear Medicine and Medical Imaging, University Medical Center Groningen, University of Groningen, Groningen, GZ, The Netherlands
| | - Luiza Reali Nazario
- Department of Nuclear Medicine and Medical Imaging, University Medical Center Groningen, University of Groningen, Groningen, GZ, The Netherlands
| | - Bruno Lima Giacobbo
- Department of Nuclear Medicine and Medical Imaging, University Medical Center Groningen, University of Groningen, Groningen, GZ, The Netherlands
| | - Rudi A J O Dierckx
- Department of Nuclear Medicine and Medical Imaging, University Medical Center Groningen, University of Groningen, Groningen, GZ, The Netherlands
| | - Jimmy Stehberg
- Laboratorio de Neurobiología, Instituto de Ciencias Biomédicas, Facultad de Medicina y Facultad de Ciencias de la Vida, Universidad Andrés Bello, Santiago, Chile
| | - Erik F J de Vries
- Department of Nuclear Medicine and Medical Imaging, University Medical Center Groningen, University of Groningen, Groningen, GZ, The Netherlands
| | - Janine Doorduin
- Department of Nuclear Medicine and Medical Imaging, University Medical Center Groningen, University of Groningen, Groningen, GZ, The Netherlands
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Wang Q, Chen Q, Liu P, Zhang J, Zhou L, Peng L. Functional Magnetic Resonance Imaging Reveals Early Connectivity Changes in the Auditory and Vestibular Cortices in Idiopathic Sudden Sensorineural Hearing Loss With Vertigo: A Pilot Study. Front Hum Neurosci 2021; 15:719254. [PMID: 34646127 PMCID: PMC8502874 DOI: 10.3389/fnhum.2021.719254] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/02/2021] [Accepted: 09/01/2021] [Indexed: 11/13/2022] Open
Abstract
The underlying pathophysiology of idiopathic sudden sensorineural hearing loss (ISSNHL) with vertigo has yet to be identified. The aims of the current study were (1) to elucidate whether there are functional changes of the intrinsic brain activity in the auditory and vestibular cortices of the ISSNHL patients with vertigo using resting-state functional magnetic resonance imaging (rs-fMRI) and (2) whether the connectivity alterations are related to the clinical performance associated with ISSNHL with vertigo. Twelve ISSNHL patients with vertigo, eleven ISSNHL patients without vertigo and eleven healthy subjects were enrolled in this study. Rs-fMRI data of auditory and vestibular cortices was extracted and regional homogeneity (ReHo) and seed-based functional connectivity (FC) were evaluated; the chi-square test, the ANOVA and the Bonferroni multiple comparison tests were performed. Significantly decreased ReHo in the ipsilateral auditory cortex, as well as increased FC between the inferior parietal gyrus and the auditory cortex were found in the ISSNHL with vertigo groups. These findings contribute to a characterization of early plastic changes in ISSNHL patients with vertigo and cultivate new insights for the etiology research.
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Affiliation(s)
- Qiuxia Wang
- Department of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Qingguo Chen
- Department of Otorhinolaryngology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Ping Liu
- Department of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Jing Zhang
- Department of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Liangqiang Zhou
- Department of Otorhinolaryngology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Liyan Peng
- Department of Otorhinolaryngology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
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20
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Gupta S, Chan YH, Rajapakse JC. Obtaining leaner deep neural networks for decoding brain functional connectome in a single shot. Neurocomputing 2021. [DOI: 10.1016/j.neucom.2020.04.152] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/21/2022]
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21
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Altered brain network centrality in patients with mild cognitive impairment: an fMRI study using a voxel-wise degree centrality approach. Aging (Albany NY) 2021; 13:15491-15500. [PMID: 34106878 PMCID: PMC8221306 DOI: 10.18632/aging.203105] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/09/2021] [Accepted: 05/14/2021] [Indexed: 01/29/2023]
Abstract
PURPOSE Previous studies in patients with Alzheimer's disease have shown amyloid beta accumulation in the brain and abnormal brain activity, with mild cognitive impairment (MCI) in early stages of the disease. The aim of the current study was to investigate functional connectivity in patients with MCI. METHODS We recruited 24 subjects in total, including 12 patients with MCI (6 men and 6 women) and 12 healthy controls (HCs) (6 men and 6 women), matched for age, gender, and lifestyle factors. All subjects underwent resting-state functional magnetic resonance imaging scans and voxel-wise degree centrality (DC) was used to evaluate alterations in the strength of brain network connectivity. RESULTS The DC value of the left inferior temporal gyrus was lower in MCI but significantly higher in the right fusiform gyrus and the left supplementary motor area, compared with HCs. The DC value in left inferior temporal gyrus correlated positively with disease duration and negatively with Mini-Mental State Examination. ROC curve analysis of brain regions showed acceptable specificity and accuracy of DC values between MCIs and HCs in the area under the curve (right fusiform gyrus, 0.955; left supplementary motor area, 0.992; left inferior temporal gyrus, 1.000). CONCLUSIONS Abnormal functional connectivity in brain regions of patients with MCI may reflect the pathological process of Alzheimer's disease development and could prove useful in clinical diagnosis and treatment.
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22
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Shared and distinct homotopic connectivity changes in melancholic and non-melancholic depression. J Affect Disord 2021; 287:268-275. [PMID: 33799047 DOI: 10.1016/j.jad.2021.03.038] [Citation(s) in RCA: 35] [Impact Index Per Article: 11.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/05/2020] [Revised: 03/10/2021] [Accepted: 03/15/2021] [Indexed: 11/21/2022]
Abstract
OBJECTIVE Previous studies have revealed different neuroimaging features between melancholic and non-melancholic major depressive disorder (MDD). However, homotopic connectivity of melancholic and non-melancholic MDD remains unknown. The present study aimed to explore common and distinct homotopic connectivity patterns of melancholic and non-melancholic MDD and their associations with clinical characteristics. METHODS Sixty-four patients with MDD and thirty-two healthy controls were scanned by resting-state functional magnetic resonance imaging (fMRI). Voxel-mirrored homotopic connectivity (VMHC) and pattern classification were applied to analyze the imaging data. RESULTS Relative to healthy controls, melancholic patients displayed decreased VMHC in the fusiform gyrus, posterior cingulate cortex (PCC), superior occipital gyrus (SOG), postcentral gyrus and precentral/postcentral gyrus, and non-melancholic patients displayed decreased VMHC in the PCC. Compared with non-melancholic patients, melancholic patients displayed reduced VMHC in the precentral gyrus and precentral/postcentral gyrus. Support vector machine (SVM) results exhibited VMHC in the precentral gyrus could distinguish melancholic patients from non-melancholic patients with more than 0.6 for specificity, sensitivity and accuracy. CONCLUSION The study demonstrated common and distinct homotopic connectivity patterns in melancholic and non-melancholic patients. Decreased VMHC in the PCC may be a state-related change for depression, and reduced VMHC in the precentral gyrus and postcentral gyrus may be a distinctive neurobiological feature for melancholic MDD. VMHC in precentral gyrus might be served as potential imaging markers to discriminate melancholic patients from non-melancholic MDD.
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23
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Abnormalities in the thalamo-cortical network in patients with functional constipation. Brain Imaging Behav 2021; 15:630-642. [PMID: 32314199 DOI: 10.1007/s11682-020-00273-y] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
Abstract
Functional constipation (FCon) is a common functional gastrointestinal disorder (FGID); neuroimaging studies have shown brain functional abnormalities in thalamo-cortical regions in patients with FGID. However, association between FCon and topological characteristics of brain networks remains largely unknown. We employed resting-state functional magnetic resonance imaging (RS-fMRI) and graph theory approach to investigate functional brain topological organization in 42 patients with FCon and 41 healthy controls (HC) from perspectives of global, regional and modular levels. Results showed patients with FCon had a significantly lower normalized clustering coefficient and small-worldness, implying decreased brain functional connectivity. Regions showed altered nodal degree and efficiency mainly located in the thalamus, rostral anterior cingulate cortex (rACC), and supplementary motor area (SMA), which are involved in somatic/sensory, emotional processing and motor-control. For the modular analysis, thalamus, rACC and SMA had an aberrant within-module nodal degree and nodal efficiency, and thalamus-related network exhibited abnormal interaction with the limbic network (amygdala and hippocampal gyrus). Nodal degree in the thalamus was negatively correlated with difficulty of defecation, and nodal degree in the rACC was negatively correlated with sensation of incomplete evacuation. These findings indicated that FCon was associated with abnormalities in the thalamo-cortical network.
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24
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Potential clinical value of circular RNAs as peripheral biomarkers for the diagnosis and treatment of major depressive disorder. EBioMedicine 2021; 66:103337. [PMID: 33862583 PMCID: PMC8054154 DOI: 10.1016/j.ebiom.2021.103337] [Citation(s) in RCA: 26] [Impact Index Per Article: 8.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/15/2020] [Revised: 03/15/2021] [Accepted: 03/24/2021] [Indexed: 12/18/2022] Open
Abstract
Background circular RNAs (circRNAs) are expressed abundantly in the brain and are implicated in the pathophysiology of neuropsychiatric disease. However, the potential clinical value of circRNAs in major depressive disorder (MDD) remains unclear. Methods RNA sequencing was conducted in whole-blood samples in a discovery set (7 highly homogeneous MDD patients and 7 matched healthy controls [HCs]). The differential expression of circRNAs was verified in an independent validation set. The interventional study was conducted to assess the potential effect of the antidepressive treatment on the circRNA expression. Findings in the validation set, compared with 52 HCs, significantly decreased circFKBP8 levels (Diff: -0.24; [95% CI -0.39 ~ -0.09]) and significantly elevated circMBNL1 levels (Diff: 0.37; [95% CI 0.09 ~ 0.64]) were observed in 53 MDD patients. The expression of circMBNL1 was negatively correlated with 24-item Hamilton Depression Scale (HAMD-24) scores in 53 MDD patients. A mediation model indicated that circMBNL1 affected HAMD-24 scores through a mediator, serum brain-derived neurotrophic factor. In 53 MDD patients, the amplitude of low-frequency fluctuations in the right orbital part middle frontal gyrus was positively correlated with circFKBP8 and circMBNL1 expression. Furthermore, the interventional study of 53 MDD patients demonstrated that antidepressive treatment partly increased circFKBP8 expression and the change in expression of circFKBP8 was predictive of further reduced HAMD-24 scores. Interpretation whole-blood circFKBP8 and circMBNL1 may be potential biomarkers for the diagnosis of MDD, respectively, and circFKBP8 may show great potential for the antidepressive treatment.
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25
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Yang L, Wei AH, Ouyang TT, Cao ZZ, Duan AW, Zhang HH. Functional plasticity abnormalities over the lifespan of first-episode patients with major depressive disorder: a resting state fMRI study. ANNALS OF TRANSLATIONAL MEDICINE 2021; 9:349. [PMID: 33708976 PMCID: PMC7944321 DOI: 10.21037/atm-21-367] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 12/03/2022]
Abstract
Background Neurodevelopmental and neurodegenerative theories of depression suggest that patients with major depressive disorder (MDD) may follow abnormal developmental, maturational, and aging processes. However, a lack of lifespan studies has precluded verification of these theories. Herein, we analyzed functional magnetic resonance imaging (fMRI) data to comprehensively characterize age-related functional trajectories, as measured by the fractional amplitude of low frequency fluctuations (fALFF), over the course of MDD. Methods In total, 235 MDD patients with age-differentiated onsets and 235 age- and sex-matched healthy controls (HC) were included in this study. We determined the pattern of age-related fALFF changes by cross-sectionally establishing the general linear model (GLM) between fALFF and age over a lifespan. Furthermore, the subjects were divided into four age groups to assess age-related neural changes in detail. Inter-group fALFF comparison (MDD vs. HC) was conducted in each age group and Granger causal analysis (GCA) was applied to investigate effective connectivity between regions. Results Compared with the HC, no significant quadratic or linear age effects were found in MDD over the entire lifespan, suggesting that depression affects the normal developmental, maturational, and degenerative process. Inter-group differences in fALFF values varied significantly at different ages of onset. This implies that MDD may impact brain functions in a highly dynamic way, with different patterns of alterations at different stages of life. Moreover, the GCA analysis results indicated that MDD followed a distinct pattern of effective connectivity relative to HC, and this may be the neural basis of MDD with age-differentiated onsets. Conclusions Our findings provide evidence that normal developmental, maturational, and ageing processes were affected by MDD. Most strikingly, functional plasticity changes in MDD with different ages of onset involved dynamic interactions between neuropathological processes in a tract-specific manner.
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Affiliation(s)
- Li Yang
- Department of Medical Engineering, Daping Hospital, Army Medical University, Chongqing, China
| | - An-Hai Wei
- Department of Medical Engineering, Daping Hospital, Army Medical University, Chongqing, China.,College of Communication Engineering of Chongqing University, Chongqing, China
| | - Tan-Te Ouyang
- Department of Biomedical Engineering and Medical Imaging, Army Military Medical University, Chongqing, China
| | - Zhen-Zhen Cao
- Department of Medical Engineering, Daping Hospital, Army Medical University, Chongqing, China
| | - Ao-Wen Duan
- Department of Medical Engineering, Daping Hospital, Army Medical University, Chongqing, China
| | - He-Hua Zhang
- Department of Medical Engineering, Daping Hospital, Army Medical University, Chongqing, China
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26
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Lv X, Lu F, Zhang J, Chen H, Zhang L, Wang X, Fan Y, Fang J, Hong L, Wang J, Liu C, Yuan Z, He Z, Wang W. Effects of TIP treatment on brain network topology of frontolimbic circuit in first-episode, treatment-naïve major depressive disorder. J Affect Disord 2021; 279:122-130. [PMID: 33045554 DOI: 10.1016/j.jad.2020.09.127] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/30/2020] [Revised: 08/20/2020] [Accepted: 09/27/2020] [Indexed: 12/28/2022]
Abstract
BACKGROUND The Low Resistance Thought Induction Psychotherapy (TIP) is a comprehensive psychological treatment which could improve the clinical symptoms of major depressive disorder (MDD). However, the neural mechanisms for TIP treating MDD still remain unclear. This study aimed to investigate the topology of intrinsic connectivity network and the therapeutic effects of TIP in MDD on these topological properties. METHODS Longitudinal study was conducted in 20 first-episode, treatment-naive MDD patients at baseline and after 6 weeks (12 sessions) of TIP treatment based on resting-state functional magnetic resonance image (rsfMRI) in conjunction with graph theoretical analysis. We constructed functional connectivity matrices and extracted the attribute features of the small-world networks in both MDD and age-, education level-, and gender-matched healthy controls (HCs). The global and local small-world network properties were explored and compared between MDD at baseline and HCs. The therapeutic effect of TIP was examined by comparing alterations in global and local network properties between MDD at baseline and after treatment. RESULTS At baseline, MDD showed altered small-worldness and aberrant nodal properties in the frontolimbic circuit particularly in the orbital frontal gyrus, insula, precuneus and middle cingulate gyrus as compared with HCs. Following 6 weeks treatment, the abnormalities in the small-worldness and the nodal metrics were modulated, which were accompanied by a significant improvement in the clinical symptoms. CONCLUSIONS Our findings contributed to the understanding of the abnormal topological patterns in the frontolimbic systems in MDD and implicated that these disruptions may be modified by TIP treatment.
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Affiliation(s)
- Xueyu Lv
- Psychology Department of Guang'anmen Hospital, China Academy of Chinese Medical Sciences, No. 5 Bei Xian Ge Street, Xi Cheng District, Beijing 100053, China
| | - Fengmei Lu
- The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Lab for Neuroinformation, School of life Science and technology, University of Electronic Science and Technology of China, Chengdu 610054, China; Faculty of Health Sciences, University of Macau, Macau SAR, China
| | - Jinhua Zhang
- Psychology Department of Guang'anmen Hospital, China Academy of Chinese Medical Sciences, No. 5 Bei Xian Ge Street, Xi Cheng District, Beijing 100053, China
| | - Heng Chen
- School of Medicine, Guizhou University, Guizhou, China
| | - Liang Zhang
- Psychology Department of Guang'anmen Hospital, China Academy of Chinese Medical Sciences, No. 5 Bei Xian Ge Street, Xi Cheng District, Beijing 100053, China
| | - Xiaoling Wang
- Psychology Department of Guang'anmen Hospital, China Academy of Chinese Medical Sciences, No. 5 Bei Xian Ge Street, Xi Cheng District, Beijing 100053, China
| | - Yangyang Fan
- Psychology Department of Guang'anmen Hospital, China Academy of Chinese Medical Sciences, No. 5 Bei Xian Ge Street, Xi Cheng District, Beijing 100053, China
| | - Jiliang Fang
- Psychology Department of Guang'anmen Hospital, China Academy of Chinese Medical Sciences, No. 5 Bei Xian Ge Street, Xi Cheng District, Beijing 100053, China
| | - Lan Hong
- Psychology Department of Guang'anmen Hospital, China Academy of Chinese Medical Sciences, No. 5 Bei Xian Ge Street, Xi Cheng District, Beijing 100053, China
| | - Jian Wang
- Psychology Department of Guang'anmen Hospital, China Academy of Chinese Medical Sciences, No. 5 Bei Xian Ge Street, Xi Cheng District, Beijing 100053, China
| | - Chunhong Liu
- Acupuncture and Moxibustion Department, Beijing Hospital of Traditional Chinese Medicine affiliated to Capital Medical University, Beijing, China
| | - Zhen Yuan
- Faculty of Health Sciences, University of Macau, Macau SAR, China; Centre for Cognitive and Brain Sciences, University of Macau, Macau, China
| | - Zongling He
- The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Lab for Neuroinformation, School of life Science and technology, University of Electronic Science and Technology of China, Chengdu 610054, China.
| | - Weidong Wang
- Psychology Department of Guang'anmen Hospital, China Academy of Chinese Medical Sciences, No. 5 Bei Xian Ge Street, Xi Cheng District, Beijing 100053, China.
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27
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Boyraz RK, Kirpinar I, Yilmaz O, Özyurt O, Kiliçarslan T, Aralasmak A. A Treatment-Response Comparison Study of Resting-State Functional Magnetic Resonance Imaging Between Standard Treatment of SSRI and Standard Treatment of SSRI Plus Non-dominant Hand-Writing Task in Patients With Major Depressive Disorder. Front Psychiatry 2021; 12:698954. [PMID: 34539460 PMCID: PMC8446543 DOI: 10.3389/fpsyt.2021.698954] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/22/2021] [Accepted: 06/28/2021] [Indexed: 11/13/2022] Open
Abstract
Background: Researches have recently shifted from functional/structural imaging studies to functional connectivity (FC) studies in major depressive disorder (MDD). We aimed to compare treatment response of two treatment groups before and after treatment, in terms of both with psychiatric evaluation scales and resting-state functional connectivity (RSFC) changes in order to objectively demonstrate the possible contribution of the non-dominant hand-writing exercise (NHE) effect on depression treatment. Methods: A total of 26 patients who were right-handed women with similar sociodemographic characteristics were enrolled. Their pre-treatment resting-state functional magnetic resonance imaging (rs-fMRI) and neuropsychiatric tests were recorded, and then, patients were divided into two groups randomly. A standard treatment (ST) (fix sertraline 50 mg/day) was given to both groups. One randomly selected group was given the NHE in addition to the ST. After 8 weeks of treatment, all patients were reevaluated with rs-fMRI and neuropsychiatric tests. Pre- and post-treatment FC changes within the groups and post-treatment connectivity changes between groups were evaluated. Results: Post-treatment neuropsychiatric tests were significantly different in both groups. Post-treatment, two brain regions' connectivity changed in the ST group, whereas 10 brain regions' connectivity changed significantly in the ST + NHE group. When treatment groups were compared with each other after the treatment, the FC of 13 regions changed in the ST + NHE group compared to the ST group (p-unc/p-PFD <0.05). The density of connectivity changes in the frontal and limbic regions, especially connectivities shown to change in depression treatment, in the ST + NHE group indicates a positive contribution to depression treatment, which is also supported by neuropsychiatric scale changes. Conclusion: NHE, which we developed with inspiration from the Eye Movement Desensitization and Reprocessing (EMDR) method, showed significantly more connecitivity changes related with MDD treatment. Beyond offering a new additional treatment method, our study will also contribute to the current literature with our efforts to evaluate all brain regions and networks that may be related to MDD and its treatment together, without being limited to a few regions. Trial Registration: The rs-fMRI and treatment registers were recorded in the BizMed system, which is the patient registration system of Bezmialem Vakif University Medicine Faculty, under the BAP support project approval code and the registration number 3.2018/8.
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Affiliation(s)
- Rabia Kevser Boyraz
- Bezmialem VAKIF University, Department of Psychiatry, School of Medicine, Istanbul, Turkey
| | - Ismet Kirpinar
- Bezmialem VAKIF University, Department of Psychiatry, School of Medicine, Istanbul, Turkey
| | - Onur Yilmaz
- Bezmialem VAKIF University, Department of Psychiatry, School of Medicine, Istanbul, Turkey
| | - Onur Özyurt
- Bogaziçi University, Bogaziçi Engineering Institute, Istanbul, Turkey
| | - Tezer Kiliçarslan
- Bezmialem VAKIF University, Department of Psychiatry, School of Medicine, Istanbul, Turkey
| | - Ayse Aralasmak
- Bezmialem Vakıf University, Department of Radiology, School of Medicine, Istanbul, Turkey
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Zhang Z, Chen Y, Wei W, Yang X, Meng Y, Yu H, Guo W, Wang Q, Deng W, Li T, Ma X. Changes in Regional Homogeneity of Medication-Free Major Depressive Disorder Patients With Different Onset Ages. Front Psychiatry 2021; 12:713614. [PMID: 34658953 PMCID: PMC8517084 DOI: 10.3389/fpsyt.2021.713614] [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] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/23/2021] [Accepted: 08/30/2021] [Indexed: 02/05/2023] Open
Abstract
Background: Neurobiological mechanisms underlying the development of major depressive disorder (MDD) may differ depending on onset ages. Our aim was to determine whether regional homogeneity (ReHo) changes in early-onset depression (EOD) and late-onset depression (LOD) are different, which could also delineate EOD and LOD. Methods: Ninety-one MDD patients and 115 healthy controls (HCs) were recruited, and resting-state functional magnetic resonance imaging data were collected. The ReHo comparison was conducted using analysis of variance. Results: Compared with HCs, MDD patients showed decreased ReHo in the left precentral gyrus and the left middle cingulum area, and increased ReHo in the left middle orbital frontal gyrus and superior temporal gyrus. Compared with LOD patients, young HC separately, EOD patients had significantly increased ReHo in the right inferior frontal triangular gyrus and the left postcentral gyrus. However, compared with young HC, EOD patients showed decreased ReHo in the right superior frontal gyrus/supplementary motor area and the right medial frontal gyrus. ReHo in the right inferior frontal triangular gyrus was negatively correlated with the severity of cognitive disturbance in LOD patients (r = -0.47, p = 0.002), but not in EOD patients (r = 0.21, p = 0.178). Conclusion: MDD patients with different onset ages may have different pathophysiological mechanisms; the EOD patients had more abnormal ReHo than LOD patients in the prefrontal lobe, especially the right inferior frontal triangular gyrus.
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Affiliation(s)
- Zijian Zhang
- Psychiatric Laboratory and Mental Health Center, West China Hospital of Sichuan University, Chengdu, China.,West China Brain Research Center, West China Hospital of Sichuan University, Chengdu, China
| | - Yayun Chen
- Psychiatric Laboratory and Mental Health Center, West China Hospital of Sichuan University, Chengdu, China.,West China Brain Research Center, West China Hospital of Sichuan University, Chengdu, China.,The Fourth People's Hospital of Chengdu, Chengdu, China
| | - Wei Wei
- Psychiatric Laboratory and Mental Health Center, West China Hospital of Sichuan University, Chengdu, China.,West China Brain Research Center, West China Hospital of Sichuan University, Chengdu, China
| | - Xiao Yang
- Psychiatric Laboratory and Mental Health Center, West China Hospital of Sichuan University, Chengdu, China.,West China Brain Research Center, West China Hospital of Sichuan University, Chengdu, China
| | - Yajing Meng
- Psychiatric Laboratory and Mental Health Center, West China Hospital of Sichuan University, Chengdu, China.,West China Brain Research Center, West China Hospital of Sichuan University, Chengdu, China
| | - Hua Yu
- Psychiatric Laboratory and Mental Health Center, West China Hospital of Sichuan University, Chengdu, China.,West China Brain Research Center, West China Hospital of Sichuan University, Chengdu, China
| | - Wanjun Guo
- Psychiatric Laboratory and Mental Health Center, West China Hospital of Sichuan University, Chengdu, China.,West China Brain Research Center, West China Hospital of Sichuan University, Chengdu, China
| | - Qiang Wang
- Psychiatric Laboratory and Mental Health Center, West China Hospital of Sichuan University, Chengdu, China.,West China Brain Research Center, West China Hospital of Sichuan University, Chengdu, China
| | - Wei Deng
- Psychiatric Laboratory and Mental Health Center, West China Hospital of Sichuan University, Chengdu, China.,West China Brain Research Center, West China Hospital of Sichuan University, Chengdu, China
| | - Tao Li
- Psychiatric Laboratory and Mental Health Center, West China Hospital of Sichuan University, Chengdu, China.,West China Brain Research Center, West China Hospital of Sichuan University, Chengdu, China
| | - Xiaohong Ma
- Psychiatric Laboratory and Mental Health Center, West China Hospital of Sichuan University, Chengdu, China.,West China Brain Research Center, West China Hospital of Sichuan University, Chengdu, China
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Marron TR, Berant E, Axelrod V, Faust M. Spontaneous cognition and its relationship to human creativity: A functional connectivity study involving a chain free association task. Neuroimage 2020; 220:117064. [DOI: 10.1016/j.neuroimage.2020.117064] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/31/2019] [Revised: 05/24/2020] [Accepted: 06/13/2020] [Indexed: 11/30/2022] Open
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Lancour D, Dupuis J, Mayeux R, Haines JL, Pericak-Vance MA, Schellenberg GC, Crovella M, Farrer LA, Kasif S. Analysis of brain region-specific co-expression networks reveals clustering of established and novel genes associated with Alzheimer disease. Alzheimers Res Ther 2020; 12:103. [PMID: 32878640 PMCID: PMC7469336 DOI: 10.1186/s13195-020-00674-7] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/03/2020] [Accepted: 08/26/2020] [Indexed: 02/07/2023]
Abstract
BACKGROUND Identifying and understanding the functional role of genetic risk factors for Alzheimer disease (AD) has been complicated by the variability of genetic influences across brain regions and confounding with age-related neurodegeneration. METHODS A gene co-expression network was constructed using data obtained from the Allen Brain Atlas for multiple brain regions (cerebral cortex, cerebellum, and brain stem) in six individuals. Gene network analyses were seeded with 52 reproducible (i.e., established) AD (RAD) genes. Genome-wide association study summary data were integrated with the gene co-expression results and phenotypic information (i.e., memory and aging-related outcomes) from gene knockout studies in Drosophila to generate rankings for other genes that may have a role in AD. RESULTS We found that co-expression of the RAD genes is strongest in the cortical regions where neurodegeneration due to AD is most severe. There was significant evidence for two novel AD-related genes including EPS8 (FDR p = 8.77 × 10-3) and HSPA2 (FDR p = 0.245). CONCLUSIONS Our findings indicate that AD-related risk factors are potentially associated with brain region-specific effects on gene expression that can be detected using a gene network approach.
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Affiliation(s)
- Daniel Lancour
- Bioinformatics Graduate Program, Boston University, Boston, MA USA
- Department of Medicine (Biomedical Genetics E200), Boston University School of Medicine, 72 East Concord St., Boston, MA 02118 USA
| | - Josée Dupuis
- Department of Biostatistics, Boston University School of Public Health, Boston, MA USA
| | - Richard Mayeux
- Department of Neurology and Sergievsky Center, Columbia University, New York, NY USA
| | - Jonathan L. Haines
- Department of Population and Quantitative Health Sciences, Case Western Reserve University, Cleveland, OH USA
| | | | - Gerard C. Schellenberg
- Department of Pathology and Laboratory Medicine, University of Pennsylvania, Philadelphia, PA USA
| | - Mark Crovella
- Bioinformatics Graduate Program, Boston University, Boston, MA USA
- Department of Computer Science, Boston University, Boston, MA USA
| | - Lindsay A. Farrer
- Bioinformatics Graduate Program, Boston University, Boston, MA USA
- Department of Medicine (Biomedical Genetics E200), Boston University School of Medicine, 72 East Concord St., Boston, MA 02118 USA
- Department of Biostatistics, Boston University School of Public Health, Boston, MA USA
- Department of Neurology, Boston University School of Medicine, Boston, MA USA
- Department of Ophthalmology, Boston University School of Medicine, Boston, MA USA
- Department of Epidemiology, Boston University School of Public Health, Boston, MA USA
| | - Simon Kasif
- Bioinformatics Graduate Program, Boston University, Boston, MA USA
- Department of Biomedical Engineering, Boston University, Boston, MA USA
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Song Y, Shen X, Mu X, Mao N, Wang B. A study on BOLD fMRI of the brain basic activities of MDD and the first-degree relatives. Int J Psychiatry Clin Pract 2020; 24:236-244. [PMID: 32228280 DOI: 10.1080/13651501.2020.1744663] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/24/2022]
Abstract
Introduction: The present study aims to explore the characteristics and differences of the ReHo, ALFF and fALFF of brain in the resting state of depression and first-degree relatives, in order to identify candidate central prodromal biomarkers of depression.Method: Three groups of medication-free patients (39-59 years old) was involved in this study, including the patients with major depression disorder (MDD group, n = 15), healthy volunteers with first-degree relatives with MDD (first-degree relatives group, n = 15), healthy volunteers with no personal or family history of MDD (the control group [HC], n = 15). Participants underwent functional MRI while staying in a resting state after a conventional MRI scanning on a clinical 3 T system(Siemens Skyra, Germany).Results: The ReHo, ALFF and fALFF values are different in brain of MDD, first-degree relatives, and HC (p<.05). MDD patients exhibited abnormal spontaneous activity in multiple brain regions which are closely related to emotion regulation and perception. The present findings provide further insight into the pathological mechanisms underlying MDD.Conclusion: With the widespread abnormal values of brain in MDD and first-degree relatives measured, we can get a hypothesis that these abnormalities may be associated with cognitive network disorders and emotional distress in MDD.Key pointsThe fMRI could increase the early validity of MDD as a new diagnostic and disease-monitoring tool.Monitoring ReHo, ALFF, fALFF values using fMRI can provide insight into the presence and evolution of MDD disease and permit objective evaluation of brain abnormalities.It appears that ReHo, ALFF, fALFF could be used as markers for monitoring disease progression and treatment effects in MDD patients in the future.
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Affiliation(s)
- Yulu Song
- Department of Imaging and Nuclear Medicine, Shandong Medical Imaging Research Institute, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, China
| | - Xiaojun Shen
- Department of Imaging and Nuclear Medicine, Shandong Medical Imaging Research Institute, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, China.,Department of Radiology, School of Medicine, Medical Imaging Research Institute, Yantai Affiliated Hospital of Binzhou Medical University, Yantai, Shandong, China
| | - Xinnuan Mu
- Department of Radiology, School of Medicine, The Affiliated Hospital of Binzhou Medical University, Binzhou Medical University, Binzhou, Shandong, China
| | - Ning Mao
- Department of Radiology, Yantai Yu Huang Ding Hospital, Yantai, Shandong, China
| | - Bin Wang
- Department of Radiology, School of Medicine, Medical Imaging Research Institute, Yantai Affiliated Hospital of Binzhou Medical University, Yantai, Shandong, China
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Abstract
The hypothalamus is a limbic structure involved in the emergence and persistence of major depressive disorder symptoms. Previous studies have indicated that major depressive disorder patients exhibited dysregulation between the hypothalamus and cerebral regions. However, it is still unclear about the exact hypothalamic functional connectivity patterns with other brain regions based on resting-state functional MRI in major depressive disorder. Here, we investigated the whole-brain voxel-based hypothalamic resting-state functional connectivity in 55 patients with major depressive disorder and 40 age sex-matched healthy controls. The results showed that major depressive disorder patients had a significant decrease in resting-state functional connectivity of the bilateral hypothalamus with the right insula, superior temporal gyrus, inferior frontal gyrus, and Rolandic operculum compared with healthy controls. This study suggests that the pathophysiology of major depressive disorder might be associated with the abnormal hypothalamic resting-state functional connectivity.
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Che K, Mao N, Li Y, Liu M, Ma H, Bai W, Xu X, Dong J, Li Y, Shi Y, Xie H. Altered Spontaneous Neural Activity in Peripartum Depression: A Resting-State Functional Magnetic Resonance Imaging Study. Front Psychol 2020; 11:656. [PMID: 32346374 PMCID: PMC7172032 DOI: 10.3389/fpsyg.2020.00656] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/15/2020] [Accepted: 03/18/2020] [Indexed: 01/12/2023] Open
Abstract
Abnormalities related to peripartum depression (PPD) have been detected in several brain regions through tasking-state functional magnetic resonance imaging (fMRI). In this study, we used the two markers of resting-state fMRI (rs-fMRI) to investigate changes in spontaneous neural activity of PPD and their correlation with depression severity. A total of 16 individuals with PPD were compared with 16 age- and education-matched healthy controls (HCs) by using rs-fMRI. Two-sample t-test was used to compare the fractional amplitudes of low-frequency fluctuation (fALFF) and regional homogeneity (ReHo) values between groups. Pearson correlation analysis was used to determine the correlation between the fALFF and ReHo of the abnormal brain region and the Hamilton Depression Scale (HAMD) and Edinburgh Postnatal Depression Scale scores. The spontaneous neural activity of the PPD group significantly increased mainly in the left middle frontal gyrus, left precuneus, left inferior parietal lobule, and left dorsolateral prefrontal cortex (DLPFC) and decreased mainly in the bilateral precentral gyrus and right inferior occipital gyrus compared with those of the HCs. The fALFF value of the left DLPFC was negatively correlated with the HAMD score in PPD. This rs-fMRI study suggests that changes in the spontaneous neural activity of these regions are related to emotional responses. PPD cases with low fALFF values in the left DLPFC have severe depression.
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Affiliation(s)
- Kaili Che
- Department of Radiology, Yantai Yuhuangding Hospital, Qingdao University, Yantai, China
| | - Ning Mao
- Department of Radiology, Yantai Yuhuangding Hospital, Qingdao University, Yantai, China
| | - Yuna Li
- Department of Radiology, Yantai Yuhuangding Hospital, Qingdao University, Yantai, China
| | - Meijie Liu
- Clinical Medical College, Binzhou Medical University, Yantai, China
| | - Heng Ma
- Department of Radiology, Yantai Yuhuangding Hospital, Qingdao University, Yantai, China
| | - Wei Bai
- Department of Radiology, Yantai Yuhuangding Hospital, Qingdao University, Yantai, China
| | - Xiao Xu
- Medical Imaging Department, Weifang Medical University, Weifang, China
| | - Jianjun Dong
- Department of Radiology, Yantai Yuhuangding Hospital, Qingdao University, Yantai, China
| | - Ying Li
- Department of Radiology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Yinghong Shi
- Department of Radiology, Yantai Yuhuangding Hospital, Qingdao University, Yantai, China
| | - Haizhu Xie
- Department of Radiology, Yantai Yuhuangding Hospital, Qingdao University, Yantai, China
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Brain Functional Differences in Drug-Naive Major Depression with Anxiety Patients of Different Traditional Chinese Medicine Syndrome Patterns: A Resting-State fMRI Study. EVIDENCE-BASED COMPLEMENTARY AND ALTERNATIVE MEDICINE 2020; 2020:7504917. [PMID: 32148551 PMCID: PMC7049413 DOI: 10.1155/2020/7504917] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 07/18/2019] [Revised: 12/29/2019] [Accepted: 01/16/2020] [Indexed: 11/18/2022]
Abstract
Major depressive disorder (MDD), especially combined with anxiety, has a high incidence and low detection rate in China. Literature has shown that patients under major depression with anxiety (MDA) are more likely to nominate a somatic, rather than psychological, symptom as their presenting complaint. In the theory of Traditional Chinese Medicine (TCM), clinical symptoms of MDD patients are mainly categorized into two different syndrome patterns: Deficiency and Excess. We intend to use resting-state functional magnetic resonance imaging (rs-fMRI) to investigate their brain functional differences and hopefully to find their brain function mechanism. For our research, 42 drug-naive MDA patients were divided into two groups (21 for Deficiency and 21 for Excess), with an additional 19 unaffected participants in the normal control (NC) group. We took Hamilton Depression Rating Scale (HAMD), Hamilton Anxiety Scale (HAMA), and brain fMRI scan for each group and analyzed the data. We first used Degree Centrality (DC) to map the functional differences in brain regions, utilized these regions as seed points, and used a seed-based functional connectivity (FC) analysis to identify the specific functional connection between groups. The Deficiency group was found to have higher HAMD scores, HAMA scores, and HAMD somatic factor than the Excess group. In the DC analysis, significant decreases were found in the right precuneus of both the Deficiency and Excess groups compared to the NC group. In the FC analysis, the right precuneus showed significant decreased network connectivity with the bilateral cuneus, as well as the right lingual gyrus in the Deficiency group when compared to the NC group and the Excess group. Through our research, it was found that precuneus dysfunction may have a relationship with MDA and Deficiency patients have more severe physical and emotional symptoms, and we realized that a larger sample size and multiple brain mode observations were needed in further research.
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Liu P, Li Q, Zhang A, Liu Z, Sun N, Yang C, Wang Y, Zhang K. Similar and Different Regional Homogeneity Changes Between Bipolar Disorder and Unipolar Depression: A Resting-State fMRI Study. Neuropsychiatr Dis Treat 2020; 16:1087-1093. [PMID: 32425537 PMCID: PMC7196208 DOI: 10.2147/ndt.s249489] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/12/2020] [Accepted: 04/09/2020] [Indexed: 11/23/2022] Open
Abstract
OBJECTIVE To investigate the regional homogeneity (ReHo) between unipolar depression (UD) and bipolar disorder (BD), and to search for brain imaging markers for distinguishing UD and BD. METHODS A total of 58 patients who met the diagnosis criteria of UD in DSM-Ⅳ, 40 patients who met the diagnosis criteria of BD in DSM-Ⅳ and 54 healthy controls (HC) completed the resting-state functional magnetic resonance (rs-fMRI) scans. The ReHo of the three groups was compared and Pearson correlation analysis was performed between the ReHo values and the clinical symptoms. RESULTS (1) Significant differences were found in the right hippocampus, right parahippocampal gyrus, right Inferior orbitofrontal gyrus, right superior temporal gyrus, right inferior temporal gyrus, and right middle occipital gyrus across the three groups. (2) Compared to HC, the ReHo in the right parahippocampal gyrus in UD significantly increased. (3) When compared to HC, the ReHo in the right hippocampus in BD significantly increased. The ReHo in the right middle occipital gyrus decreased. (4) Compared to UD, BD exhibited significantly decreased ReHo in the right inferior temporal gyrus. No correlations were observed between the scores of 24-item Hamilton Depression Rating Scale (HDMD-24), Hamilton Anxiety Scale (HAMA), Young Mania Rating Scale (YMRS), and the ReHo values of altered brain regions between BD and UD. CONCLUSION The results suggest that there was a considerable difference in the ReHo of brain among UD, BD, and HCs. ReHo in the right inferior temporal gyrus showed significant differences between BD and UD that might serve as neuroimaging markers to identify BD and UD.
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Affiliation(s)
- Penghong Liu
- Department of Psychiatry, First Hospital of Shanxi Medical University, Taiyuan 030001, People's Republic of China.,Department of Psychiatry, Shanxi Medical University, Taiyuan 030001, People's Republic of China
| | - Qi Li
- Department of Psychiatry, First Hospital of Shanxi Medical University, Taiyuan 030001, People's Republic of China.,Department of Psychiatry, Shanxi Medical University, Taiyuan 030001, People's Republic of China
| | - Aixia Zhang
- Department of Psychiatry, First Hospital of Shanxi Medical University, Taiyuan 030001, People's Republic of China
| | - Zhifen Liu
- Department of Psychiatry, First Hospital of Shanxi Medical University, Taiyuan 030001, People's Republic of China
| | - Ning Sun
- Department of Psychiatry, First Hospital of Shanxi Medical University, Taiyuan 030001, People's Republic of China
| | - Chunxia Yang
- Department of Psychiatry, First Hospital of Shanxi Medical University, Taiyuan 030001, People's Republic of China
| | - Yanfang Wang
- Department of Psychiatry, First Hospital of Shanxi Medical University, Taiyuan 030001, People's Republic of China
| | - Kerang Zhang
- Department of Psychiatry, First Hospital of Shanxi Medical University, Taiyuan 030001, People's Republic of China
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Yu Y, Li Z, Lin Y, Yu J, Peng G, Zhang K, Jia X, Luo B. Depression Affects Intrinsic Brain Activity in Patients With Mild Cognitive Impairment. Front Neurosci 2019; 13:1333. [PMID: 31920500 PMCID: PMC6928005 DOI: 10.3389/fnins.2019.01333] [Citation(s) in RCA: 37] [Impact Index Per Article: 7.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/01/2019] [Accepted: 11/27/2019] [Indexed: 01/31/2023] Open
Abstract
Numerous observational studies have shown that depressive symptoms are common in individuals with mild cognitive impairment (MCI) who have a higher rate of progress to dementia. However, it is still uncertain whether there are any differences between MCI patients with and without depression symptom in their brain function activities. Here we have identified the brain function activity differences in two groups of MCI patients (with depression or without depression) using the resting state MRI (rsfMRI) measurements. 76 right-handed MCI subjects have been recruited in this study, including 27 MCI patients with depression symptom (MCID), 49 MCI patients without depression symptom (MCIND). Analyses based on 7 rsfMRI measurements, including four static measurements (ALFF, fALFF, PerAF, and ReHo) and three dynamic measurements (dALFF, dfALFF, and dReHo) have been used to explore the temporal variability of intrinsic brain activity. No significant differences in ALFF and dALFF between the two group were found. In the MCID group, fALFF decreased in temporal gyrus, frontal gyrus, inferior occipital gyrus, middle frontal gyrus and cerebellum, but increased in cuneus, calcarine, lingual; while PerAF increased in left parahippocampus. The differences of ReHo in the two groups was only found in cerebellum. Compared to MCIND group, dfALFF in MCID decreased in cuneus, occipital gyrus and calcarine, while dReHo in MCID increased in bilateral temporal gyrus, frontal gyrus, superior parietal gyrus, inferior parietal gyrus and precuneus. Our results may provide a better understanding in the relationship between the depressive symptoms and memory deficits.
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Affiliation(s)
- Yang Yu
- Department of Neurology, First Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, China
| | - Ziqi Li
- School of Information and Electronics Technology, Jiamusi University, Jiamusi, China
| | - Yajie Lin
- Department of Neurology, First Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, China
| | - Jie Yu
- Department of Neurology, First Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, China
| | - Guoping Peng
- Department of Neurology, First Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, China
| | - Kan Zhang
- Department of Neurology, First Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, China
| | - Xize Jia
- Center for Cognition and Brain Disorders, Institutes of Psychological Sciences, Hangzhou Normal University, Hangzhou, China
- Zhejiang Key Laboratory for Research in Assessment of Cognitive Impairments, Hangzhou, China
| | - Benyan Luo
- Department of Neurology, First Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, China
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Zhang X, Li X, Steffens DC, Guo H, Wang L. Dynamic changes in thalamic connectivity following stress and its association with future depression severity. Brain Behav 2019; 9:e01445. [PMID: 31651099 PMCID: PMC6908855 DOI: 10.1002/brb3.1445] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/02/2019] [Revised: 09/14/2019] [Accepted: 09/16/2019] [Indexed: 12/11/2022] Open
Abstract
INTRODUCTION Tracking stress-induced brain activity and connectivity dynamically and examining activity/connectivity-associated recovery ability after stress might be an effective way of detecting stress vulnerability. METHODS Using two widely used stress paradigms, a speech task (social stress) and a mathematical calculation task (mental loading stress), we examined common changes in regional homogeneity (ReHo) and functional connectivity (FC) before, during, and after the two stressful tasks in thirty-nine college students. A counting breath relaxation task was employed as a contrast task. ReHo and FC were compared between subjects with higher versus lower depression symptoms (assessed by the Beck Depression Inventory, BDI). We developed a recovery index (RI) based on dynamic changes of ReHo/FC to evaluate individuals' ability to recover from a stressful state. To assess RI's usefulness in predicting future depression severity, BDI was also measured at one-year follow-up. RESULTS Our results revealed a ReHo decrease after both stressful tasks and a ReHo increase after the relaxation task in bilateral thalamus. The ReHo decrease after both stressful tasks was more significant in the higher BDI than the lower BDI group. Higher ReHo RI of the right thalamus in the higher BDI groups was significantly correlated with lower BDI severity at one-year follow-up. Bilateral thalamus also showed increased FC with the default mode network and decreased FC with the executive control network after the stressful tasks. CONCLUSION These findings highlight the importance of tracking resting activity and connectivity of thalamus dynamically for detecting stress vulnerability.
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Affiliation(s)
- Xue Zhang
- Department of Biomedical Engineering, Center for Biomedical Imaging Research, Tsinghua University School of Medicine, Beijing, China
| | - Xuesong Li
- School of Computer Science and Technology, Beijing Institute of Technology, Beijing, China
| | - David C Steffens
- Department of Psychiatry, University of Connecticut School of Medicine, Farmington, CT, USA
| | - Hua Guo
- Department of Biomedical Engineering, Center for Biomedical Imaging Research, Tsinghua University School of Medicine, Beijing, China
| | - Lihong Wang
- Department of Psychiatry, University of Connecticut School of Medicine, Farmington, CT, USA
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Qi Z, An Y, Zhang M, Li HJ, Lu J. Altered Cerebro-Cerebellar Limbic Network in AD Spectrum: A Resting-State fMRI Study. Front Neural Circuits 2019; 13:72. [PMID: 31780903 PMCID: PMC6851020 DOI: 10.3389/fncir.2019.00072] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/29/2019] [Accepted: 10/17/2019] [Indexed: 12/05/2022] Open
Abstract
Recent evidence suggests that the cerebellum is related to motor and non-motor cognitive functions, and that several coupled cerebro-cerebellar networks exist, including links with the limbic network. Since several limbic structures are affected by Alzheimer pathology, even in the preclinical stages of Alzheimer’s disease (AD), we aimed to investigate the cerebral limbic network activity from the perspective of the cerebellum. Twenty patients with mild cognitive impairment (MCI), 18 patients with AD, and 26 healthy controls (HC) were recruited to acquire Resting-state functional MRI (rs-fMRI). We used seed-based approach to construct the cerebro-cerebellar limbic network. Two-sample t-tests were carried out to explore the differences of the cerebellar limbic network connectivity. The first result, a sub-scale network including the bilateral posterior part of the orbitofrontal cortex (POFC) extending to the anterior insular cortex (AIC) and left inferior parietal lobule (L-IPL), showed greater functional connectivity in MCI than in HC and less functional connectivity in AD than in MCI. The location of this sub-scale network was in accordance with components of the ventral attention network. Second, there was decreased functional connectivity to the right mid-cingulate cortex (MCC) in the AD and MCI patient groups relative to the HC group. As the cerebellum is not compromised by Alzheimer pathology in the prodromal stage of AD, this pattern indicates that the sub-scale ventral attention network may play a pivotal role in functional compensation through the coupled cerebro-cerebellar limbic network in MCI, and the cerebellum may be a key node in the modulation of social cognition.
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Affiliation(s)
- Zhigang Qi
- Department of Radiology, Xuanwu Hospital, Capital Medical University, Beijing, China.,Beijing Key Laboratory of Magnetic Resonance Imaging and Brain Informatics, Beijing, China
| | - Yanhong An
- Department of Radiology, Xuanwu Hospital, Capital Medical University, Beijing, China.,Beijing Key Laboratory of Magnetic Resonance Imaging and Brain Informatics, Beijing, China
| | - Mo Zhang
- Department of Radiology, Xuanwu Hospital, Capital Medical University, Beijing, China.,Beijing Key Laboratory of Magnetic Resonance Imaging and Brain Informatics, Beijing, China
| | - Hui-Jie Li
- Key Laboratory of Behavioral Science, Institute of Psychology, Chinese Academy of Sciences, Beijing, China
| | - Jie Lu
- Department of Radiology, Xuanwu Hospital, Capital Medical University, Beijing, China.,Beijing Key Laboratory of Magnetic Resonance Imaging and Brain Informatics, Beijing, China
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Geugies H, Opmeer EM, Marsman JBC, Figueroa CA, van Tol MJ, Schmaal L, van der Wee NJA, Aleman A, Penninx BWJH, Veltman DJ, Schoevers RA, Ruhé HG. Decreased functional connectivity of the insula within the salience network as an indicator for prospective insufficient response to antidepressants. NEUROIMAGE-CLINICAL 2019; 24:102064. [PMID: 31795046 PMCID: PMC6883326 DOI: 10.1016/j.nicl.2019.102064] [Citation(s) in RCA: 20] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 08/31/2018] [Revised: 10/01/2019] [Accepted: 11/03/2019] [Indexed: 01/04/2023]
Abstract
Connectivity analyses complemented with a metric exploring switching in brain activity. Lower insula-salience connectivity predicts insufficient antidepressant response. This same insula region is activated less when switching from task to a rest. This could be a potential biomarkers for predicting future antidepressant response.
Insufficient response to treatment is the main cause of prolonged suffering from major depressive disorder (MDD). Early identification of insufficient response could result in faster and more targeted treatment strategies to reduce suffering. We therefore explored whether baseline alterations within and between resting state functional connectivity networks could serve as markers of insufficient response to antidepressant treatment in two years of follow-up. We selected MDD patients (N = 17) from the NEtherlands Study of Depression and Anxiety (NESDA), who received ≥ two antidepressants, indicative for insufficient response, during the two year follow-up, a group of MDD patients who received only one antidepressant (N = 32) and a healthy control group (N = 19) matched on clinical characteristics and demographics. An independent component analysis (ICA) of baseline resting-state scans was conducted after which functional connectivity within the components was compared between groups. We observed lower connectivity of the right insula within the salience network in the group with ≥ two antidepressants compared to the group with one antidepressant. No difference in connectivity was found between the patient groups and healthy control group. Given the suggested role of the right insula in switching between task-positive mode (activation during attention-demanding tasks) and task-negative mode (activation during the absence of any task), we explored whether right insula activation differed during switching between these two modes. We observed that in the ≥2 antidepressant group, the right insula was less active compared to the group with one antidepressant, when switching from task-positive to task-negative mode than the other way around. These findings imply that lower right insula connectivity within the salience network may serve as an indicator for prospective insufficient response to antidepressants. This result, supplemented by the diminished insula activation when switching between task and rest related networks, could indicate an underlying mechanism that, if not sufficiently targeted by current antidepressants, could lead to insufficient response. When replicated, these findings may contribute to the identification of biomarkers for early detection of insufficient response.
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Affiliation(s)
- H Geugies
- University Medical Center Groningen, University Center for Psychiatry, Mood and Anxiety Disorders, University of Groningen, Groningen, the Netherlands; University Medical Center Groningen, Department of Neuroscience, Cognitive Neuroscience Center, University of Groningen, Groningen, the Netherlands.
| | - E M Opmeer
- University Medical Center Groningen, Department of Neuroscience, Cognitive Neuroscience Center, University of Groningen, Groningen, the Netherlands
| | - J B C Marsman
- University Medical Center Groningen, Department of Neuroscience, Cognitive Neuroscience Center, University of Groningen, Groningen, the Netherlands
| | - C A Figueroa
- Department of Psychiatry, Amsterdam UMC, Locatie AMC, University of Amsterdam, Amsterdam, the Netherlands
| | - M J van Tol
- University Medical Center Groningen, Department of Neuroscience, Cognitive Neuroscience Center, University of Groningen, Groningen, the Netherlands
| | - L Schmaal
- Department of Psychiatry, Amsterdam UMC, Locatie VUmc, VU University Amsterdam, Amsterdam, the Netherlands; Orygen, The National Centre of Excellence in Youth Mental Health, Parkville, Australia; Centre for Youth Mental Health, The University of Melbourne, Melbourne, Australia
| | - N J A van der Wee
- Department of Psychiatry, Leiden University Medical Center, Leiden, the Netherlands; Leiden Institute for Brain and Cognition, Leiden University, Leiden, the Netherlands
| | - A Aleman
- University Medical Center Groningen, Department of Neuroscience, Cognitive Neuroscience Center, University of Groningen, Groningen, the Netherlands; Department of Psychology, University of Groningen, Groningen, the Netherlands
| | - B W J H Penninx
- Department of Psychiatry, Amsterdam UMC, Locatie VUmc, VU University Amsterdam, Amsterdam, the Netherlands
| | - D J Veltman
- Department of Psychiatry, Amsterdam UMC, Locatie VUmc, VU University Amsterdam, Amsterdam, the Netherlands
| | - R A Schoevers
- University Medical Center Groningen, University Center for Psychiatry, Mood and Anxiety Disorders, University of Groningen, Groningen, the Netherlands; Interdisciplinary Center Psychopathology and Emotion regulation (ICPE), University Medical Center Groningen, University of Groningen, Groningen, the Netherlands; University of Groningen, Research School of Behavioural and Cognitive Neurosciences (BCN), Groningen, the Netherlands
| | - H G Ruhé
- University Medical Center Groningen, University Center for Psychiatry, Mood and Anxiety Disorders, University of Groningen, Groningen, the Netherlands; Department of Psychiatry, Amsterdam UMC, Locatie AMC, University of Amsterdam, Amsterdam, the Netherlands; Department of Psychiatry, Radboud University Medical Center, Nijmegen, the Netherlands.
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Eckstrand KL, Hanford LC, Bertocci MA, Chase HW, Greenberg T, Lockovich J, Stiffler R, Aslam HA, Graur S, Bebko G, Forbes EE, Phillips ML. Trauma-associated anterior cingulate connectivity during reward learning predicts affective and anxiety states in young adults. Psychol Med 2019; 49:1831-1840. [PMID: 30229711 PMCID: PMC6684106 DOI: 10.1017/s0033291718002520] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/03/2023]
Abstract
BACKGROUND Trauma exposure is associated with development of depression and anxiety; yet, some individuals are resilient to these trauma-associated effects. Differentiating mechanisms underlying development of negative affect and resilience following trauma is critical for developing effective interventions. One pathway through which trauma could exert its effects on negative affect is reward-learning networks. In this study, we examined relationships among lifetime trauma, reward-learning network function, and emotional states in young adults. METHODS One hundred eleven young adults self-reported trauma and emotional states and underwent functional magnetic resonance imaging during a monetary reward task. Trauma-associated neural activation and functional connectivity were analyzed during reward prediction error (RPE). Relationships between trauma-associated neural functioning and affective and anxiety symptoms were examined. RESULTS Number of traumatic events was associated with greater ventral anterior cingulate cortex (vACC) activation, and lower vACC connectivity with the right insula, frontopolar, inferior parietal, and temporoparietal regions, during RPE. Lower trauma-associated vACC connectivity with frontoparietal regions implicated in regulatory and decision-making processes was associated with heightened affective and anxiety symptoms; lower vACC connectivity with insular regions implicated in interoception was associated with lower affective and anxiety symptoms. CONCLUSIONS In a young adult sample, two pathways linked the impact of trauma on reward-learning networks with higher v. lower negative affective and anxiety symptoms. The disconnection between vACC and regions implicated in decision-making and self-referential processes may reflect aberrant regulatory but appropriate self-focused mechanisms, respectively, conferring risk for v. resilience against negative affective and anxiety symptoms.
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Affiliation(s)
| | - Lindsay C Hanford
- Department of Psychiatry,University of Pittsburgh,Pittsburgh, PA,USA
| | | | - Henry W Chase
- Department of Psychiatry,University of Pittsburgh,Pittsburgh, PA,USA
| | - Tsafrir Greenberg
- Department of Psychiatry,University of Pittsburgh,Pittsburgh, PA,USA
| | | | - Ricki Stiffler
- Department of Psychiatry,University of Pittsburgh,Pittsburgh, PA,USA
| | - Haris A Aslam
- Department of Psychiatry,University of Pittsburgh,Pittsburgh, PA,USA
| | - Simona Graur
- Department of Psychiatry,University of Pittsburgh,Pittsburgh, PA,USA
| | - Genna Bebko
- Department of Psychiatry,University of Pittsburgh,Pittsburgh, PA,USA
| | - Erika E Forbes
- Department of Psychiatry,University of Pittsburgh,Pittsburgh, PA,USA
| | - Mary L Phillips
- Department of Psychiatry,University of Pittsburgh,Pittsburgh, PA,USA
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41
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Ries A, Hollander M, Glim S, Meng C, Sorg C, Wohlschläger A. Frequency-Dependent Spatial Distribution of Functional Hubs in the Human Brain and Alterations in Major Depressive Disorder. Front Hum Neurosci 2019; 13:146. [PMID: 31156409 PMCID: PMC6527901 DOI: 10.3389/fnhum.2019.00146] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/25/2019] [Accepted: 04/16/2019] [Indexed: 12/28/2022] Open
Abstract
Alterations in large-scale brain intrinsic functional connectivity (FC), i.e., coherence between fluctuations of ongoing activity, have been implicated in major depressive disorder (MDD). Yet, little is known about the frequency-dependent alterations of FC in MDD. We calculated frequency specific degree centrality (DC) – a measure of overall FC of a brain region – within 10 distinct frequency sub-bands accessible from the full range of resting-state fMRI BOLD fluctuations (i.e., 0.01–0.25 Hz) in 24 healthy controls and 24 MDD patients. In healthy controls, results reveal a frequency-specific spatial distribution of highly connected brain regions – i.e., hubs – which play a fundamental role in information integration in the brain. MDD patients exhibited significant deviations from the healthy DC patterns, with decreased overall connectedness of widespread regions, in a frequency-specific manner. Decreased DC in MDD patients was observed predominantly in the occipital cortex at low frequencies (0.01–0.1 Hz), in the middle cingulate cortex, sensorimotor cortex, lateral parietal cortex, and the precuneus at middle frequencies (0.1–0.175 Hz), and in the anterior cingulate cortex at high frequencies (0.175–0.25 Hz). Additionally, decreased DC of distinct parts of the insula was observed across low, middle, and high frequency bands. Frequency-specific alterations in the DC of the temporal, insular, and lateral parietal cortices correlated with symptom severity. Importantly, our results indicate that frequency-resolved analysis within the full range of frequencies accessible from the BOLD signal – also including higher frequencies (>0.1 Hz) – reveals unique information about brain organization and its changes, which can otherwise be overlooked.
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Affiliation(s)
- Anja Ries
- Department of Neuroradiology, Technical University of Munich (TUM), Munich, Germany.,TUM-Neuroimaging Center, Technical University of Munich (TUM), Munich, Germany
| | - Matthew Hollander
- Department of Neuroradiology, Technical University of Munich (TUM), Munich, Germany.,TUM-Neuroimaging Center, Technical University of Munich (TUM), Munich, Germany
| | - Sarah Glim
- Department of Neuroradiology, Technical University of Munich (TUM), Munich, Germany.,TUM-Neuroimaging Center, Technical University of Munich (TUM), Munich, Germany.,Graduate School of Systemic Neurosciences, LMU Munich, Munich, Germany
| | - Chun Meng
- Department of Neuroradiology, Technical University of Munich (TUM), Munich, Germany.,TUM-Neuroimaging Center, Technical University of Munich (TUM), Munich, Germany.,Department of Psychiatry, University of Cambridge, Cambridge, United Kingdom
| | - Christian Sorg
- Department of Neuroradiology, Technical University of Munich (TUM), Munich, Germany.,TUM-Neuroimaging Center, Technical University of Munich (TUM), Munich, Germany.,Department of Psychiatry, Technical University of Munich (TUM), Munich, Germany
| | - Afra Wohlschläger
- Department of Neuroradiology, Technical University of Munich (TUM), Munich, Germany.,TUM-Neuroimaging Center, Technical University of Munich (TUM), Munich, Germany
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42
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The neural markers of MRI to differentiate depression and panic disorder. Prog Neuropsychopharmacol Biol Psychiatry 2019; 91:72-78. [PMID: 29705713 DOI: 10.1016/j.pnpbp.2018.04.013] [Citation(s) in RCA: 17] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/23/2018] [Revised: 04/05/2018] [Accepted: 04/23/2018] [Indexed: 12/23/2022]
Abstract
Depression and panic disorder (PD) share the common pathophysiology from the perspectives of neurotransmitters. The relatively high comorbidity between depression and PD contributes to the substantial obstacles to differentiate from depression and PD, especially for the brain pathophysiology. There are significant differences in the diagnostic criteria between depression and PD. However, the paradox of similar pathophysiology and different diagnostic criteria in these two disorders were still the issues needing to be addressed. Therefore the clarification of potential difference in the field of neuroscience and pathophysiology between depression and PD can help the clinicians and scientists to understand more comprehensively about significant differences between depression and PD. The researchers should be curious about the underlying difference of pathophysiology beneath the significant distinction of clinical symptoms. In this review article, I tried to find some evidences for the differences between depression and PD, especially for neural markers revealed by magnetic resonance imaging (MRI). The distinctions of structural and functional alterations in depression and PD are reviewed. From the structural perspectives, PD seems to have less severe gray matter alterations in frontal and temporal lobes than depression. The study of white matter microintegrity reveals more widespread alterations in fronto-limbic circuit of depression patients than PD patients, such as the uncinate fasciculus and anterior thalamic radiation. PD might have a more restrictive pattern of structural alterations when compared to depression. For the functional perspectives, the core site of depression pathophysiology is the anterior subnetwork of resting-state network, such as anterior cingulate cortex, which is not significantly altered in PD. A possibly emerging pattern of fronto-limbic distinction between depression and PD has been revealed by these explorative reports. The future trend for machine learning and pattern recognition might confirm the differentiation pattern between depression and PD based on the explorative results.
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43
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Bi Y, Huang P, Dong Z, Gao T, Huang S, Gao L, Lv Z. Modified Xiaoyaosan reverses aberrant brain regional homogeneity to exert antidepressive effects in mice. Neuropathology 2019; 39:85-96. [DOI: 10.1111/neup.12540] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/29/2018] [Revised: 01/22/2019] [Accepted: 01/24/2019] [Indexed: 12/11/2022]
Affiliation(s)
- Yanmeng Bi
- School of Traditional Chinese MedicineSouthern Medical University Guangzhou China
| | - Peng Huang
- Foshan Maternal and Child Health Research InstituteAffiliated Hospital of Southern Medical University Foshan China
| | - Zhaoyang Dong
- School of NursingGuangzhou University of Chinese Medicine Guangzhou China
| | - Tingting Gao
- School of Traditional Chinese MedicineSouthern Medical University Guangzhou China
| | - Shaohui Huang
- School of Traditional Chinese MedicineSouthern Medical University Guangzhou China
| | - Lei Gao
- School of Traditional Chinese MedicineSouthern Medical University Guangzhou China
- The Key Laboratory of Molecular Biology, State Administration of Traditional Chinese Medicine, School of Traditional Chinese MedicineSouthern Medical University Guangzhou China
| | - Zhiping Lv
- School of Traditional Chinese MedicineSouthern Medical University Guangzhou China
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44
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Hao H, Chen C, Mao W, Zhong J, Dai Z. Aberrant brain regional homogeneity in first-episode drug-naïve patients with major depressive disorder: A voxel-wise meta-analysis. J Affect Disord 2019; 245:63-71. [PMID: 30368072 DOI: 10.1016/j.jad.2018.10.113] [Citation(s) in RCA: 22] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/14/2018] [Revised: 08/05/2018] [Accepted: 10/17/2018] [Indexed: 12/18/2022]
Abstract
BACKGROUND Resting-state functional magnetic resonance imaging studies have reported aberrant brain regional homogeneity (ReHo) in patients with major depressive disorder (MDD). However, the findings across studies were confounded by medication status and different depressive episodes. METHODS A systematic literature search of the PubMed, Embase, and Web of Science databases was conducted. We conducted a quantitative voxel-wise meta-analysis of ReHo studies, using the Seed-based d Mapping approach, in first-episode drug-naïve patients with MDD. RESULTS We identified 10 studies with 12 datasets suitable for inclusion, consisting of 402 first-episode drug-naïve patients with MDD and 330 healthy controls. The most consistent and robust findings were that patients with MDD relative to healthy controls exhibited increased ReHo in the left hippocampus and decreased ReHo in the left orbitofrontal cortex. LIMITATIONS The patient samples included in our meta-analysis were all Chinese, thus limiting the applicability of the present findings to other populations. CONCLUSIONS ReHo alterations in these brain regions are likely to reflect the core disease-related functional abnormalities, which are implicated in emotional dysregulation and cognitive impairment that are seen in the early stage of MDD. These findings contribute to a better understanding of the neurobiological underpinnings of MDD, and the left hippocampus and orbitofrontal cortex could serve as specific regions of interest for further investigations.
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Affiliation(s)
- HuiHui Hao
- Department of Inspection and Pharmacy, Jiangsu College of Nursing, Huai'an, PR China; Department of Radiology, Affiliated Yancheng Hospital, School of Medicine, Southeast University, Yancheng, PR China
| | - Chuang Chen
- Department of Hepatopancreatobiliary Surgery, Huai'an Hospital Affiliated to Xuzhou Medical University, Second People's Hospital of Huai'an City, Huai'an, PR China; Department of Radiology, Affiliated Yancheng Hospital, School of Medicine, Southeast University, Yancheng, PR China
| | - WeiBing Mao
- Department of Psychiatry, WuXi Xishan People's Hospital, Affiliated to ZhongDa Hospital, School of Medicine, Southeast University, Wuxi, PR China; Department of Radiology, Affiliated Yancheng Hospital, School of Medicine, Southeast University, Yancheng, PR China
| | - JianGuo Zhong
- Department of Psychiatry, WuXi Xishan People's Hospital, Affiliated to ZhongDa Hospital, School of Medicine, Southeast University, Wuxi, PR China; Department of Radiology, Affiliated Yancheng Hospital, School of Medicine, Southeast University, Yancheng, PR China.
| | - ZhenYu Dai
- Department of Neurology, Affiliated Yancheng Hospital, School of Medicine, Southeast University, Yancheng, PR China; Department of Radiology, Affiliated Yancheng Hospital, School of Medicine, Southeast University, Yancheng, PR China.
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45
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Cao W, Li C, Zhang J, Dong D, Sun X, Yao S, Huang B, Liu J. Regional Homogeneity Abnormalities in Early-Onset and Adolescent-Onset Conduct Disorder in Boys: A Resting-State fMRI Study. Front Hum Neurosci 2019; 13:26. [PMID: 30792633 PMCID: PMC6374554 DOI: 10.3389/fnhum.2019.00026] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/24/2018] [Accepted: 01/21/2019] [Indexed: 01/03/2023] Open
Abstract
Purpose: Developmental taxonomic theory posits that formation of early-onset conduct disorder (EO-CD), is considered to have a neurodevelopmental etiology and have more severe psychosocial and neuropsychological dysfunction than adolescent-onset CD (AO-CD), which is thought to stem largely from social mimicry of deviant peers. The purpose of the current study was to investigate whether regional homogeneity (ReHo), denoting the spontaneous brain activity, supports developmental taxonomic theory in a resting state (rs). Materials and Methods: Rs-functional magnetic resonance imaging (fMRI) examinations were administered to 36 EO-CD patients, 32 AO-CD patients, and 30 healthy controls (HCs). All participants were male adolescents, aged between 12 and 17 years old. A one-way analysis of covariance (ANCOVA), with age and IQ as covariates, was performed to identify regions with significant group differences in ReHo values, followed by a post hoc analyses. Results: Compared with the AO-CD groups, EO-CD had higher ReHo values in the right middle/inferior frontal gyrus. Compared with the HCs, the EO-CD group exhibited lower ReHo values in the left precuneus, left middle occipital gyrus, left cerebellum posterior lobe and the right inferior parietal lobule, as well as higher ReHo values in the right middle frontal gyrus, left insula/inferior frontal gyrus, right postcentral gyrus, and the left anterior cingulate gyrus. Compared with the HCs, the AO-CD group showed lower ReHo values in the bilateral precuneus, left cerebellum posterior lobe, and the right inferior parietal lobule. Conclusion: Significant differences in ReHo were observed between the EO-CD and AO-CD groups, implying distinct neuropathological mechanisms of the two CD subtypes, consistent with developmental taxonomic theory. CD-associated abnormalities in ReHo may be related to high-order cognitive and low-level perceptual system impairments in CD.
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Affiliation(s)
- Wanyi Cao
- Medical Psychological Center, Second Xiangya Hospital, Central South University, Changsha, China
| | - Chuting Li
- Medical Psychological Center, Second Xiangya Hospital, Central South University, Changsha, China
| | - Jing Zhang
- Medical Psychological Center, Second Xiangya Hospital, Central South University, Changsha, China
| | - Daifeng Dong
- Medical Psychological Center, Second Xiangya Hospital, Central South University, Changsha, China
| | - Xiaoqiang Sun
- Medical Psychological Center, Second Xiangya Hospital, Central South University, Changsha, China
| | - Shuqiao Yao
- Medical Psychological Center, Second Xiangya Hospital, Central South University, Changsha, China.,Medical Psychological Institute of Central South University, Changsha, China
| | - Bingsheng Huang
- Medical Psychological Center, Second Xiangya Hospital, Central South University, Changsha, China.,Health Science Center, School of Biomedical Engineering, Shenzhen University, Shenzhen, China
| | - Jun Liu
- Department of Radiology, Second Xiangya Hospital, Central South University, Changsha, China
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46
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Disrupted Regional Spontaneous Neural Activity in Mild Cognitive Impairment Patients with Depressive Symptoms: A Resting-State fMRI Study. Neural Plast 2019; 2019:2981764. [PMID: 30728833 PMCID: PMC6341247 DOI: 10.1155/2019/2981764] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/13/2018] [Revised: 11/26/2018] [Accepted: 12/06/2018] [Indexed: 11/17/2022] Open
Abstract
Depressive symptoms are common in individuals with mild cognitive impairment (MCI) who have an increased risk of dementia. It is currently unclear whether the pattern of spontaneous brain activity in patients with MCI differs between subjects with and without depressive symptoms. The current study sought to investigate the features of spontaneous brain activity in MCI patients with depressive symptoms (D-MCI) using coherence regional homogeneity (CReHo) analysis with resting-state functional magnetic resonance imaging (rsfMRI). We obtained rsfMRI data in 16 MCI patients with depressive symptoms and 18 nondepressed MCI patients (nD-MCI) using a 3 T scanner. Statistical analyses were performed to determine the regions in which ReHo differed between the two groups in specific frequency bands, slow-4 (0.027–0.073 Hz) and slow-5 (0.010–0.027 Hz), and typical bands (0.01–0.08 Hz). Correlation analyses were performed between the CReHo index of these regions and clinical variables to evaluate the relationship between CReHo and pathophysiological measures in the two groups. Our results showed that D-MCI patients exhibited significantly higher CReHo in the left Heschl's gyrus and left thalamus and lower CReHo in the left postcentral gyrus in the typical frequency band. In the slow-4 frequency band, D-MCI patients showed significantly higher CReHo in the left Heschl's gyrus and left thalamus. In the slow-5 frequency band, D-MCI patients exhibited significantly lower CReHo in the superior medial prefrontal gyrus. In addition, the results revealed that CReHo values in the left thalamus were positively correlated with Hamilton Depression Rating Scale (HAMD) scores in D-MCI patients. These results suggest that the sensorimotor network may be one of the main pathophysiological factors in D-MCI.
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47
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Yan R, Tao S, Liu H, Chen Y, Shi J, Yang Y, Zhu R, Yao Z, Lu Q. Abnormal Alterations of Regional Spontaneous Neuronal Activity in Inferior Frontal Orbital Gyrus and Corresponding Brain Circuit Alterations: A Resting-State fMRI Study in Somatic Depression. Front Psychiatry 2019; 10:267. [PMID: 31114515 PMCID: PMC6503088 DOI: 10.3389/fpsyt.2019.00267] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/11/2018] [Accepted: 04/08/2019] [Indexed: 11/23/2022] Open
Abstract
Background: Major depressive disorders often involve somatic symptoms and have been found to have fundamental differences from non-somatic depression (NSD). However, the neural basis of this type of somatic depression (SD) is unclear. The aim of this study is to use the amplitude of low-frequency fluctuation (ALFF) and functional connectivity (FC) analyses to examine the abnormal, regional, spontaneous, neuronal activity and the corresponding brain circuits in SD patients. Methods: 35 SD patients, 25 NSD patients, and 27 matched healthy controls were selected to complete this study. The ALFF and seed-based FC analyses were employed, and the Pearson correlation was determined to observe possible clinical relevance. Results: Compared with NSD, the SD group showed a significant ALFF increase in the right inferior temporal gyrus; a significant ALFF decrease in left hippocampus, right inferior frontal orbital gyrus and left thalamus; and a significant decrease in the FC value between the right inferior frontal orbital gyrus and the left inferior parietal cortex (p < 0.05, corrected). Within the SD group, the mean ALFF value of the right inferior frontal orbital gyrus was associated with the anxiety factor scores (r = -0.431, p = 0.010, corrected). Conclusions: Our findings suggest that abnormal differences in the regional spontaneous neuronal activity of the right inferior frontal orbital gyrus were associated with dysfunction patterns of the corresponding brain circuits during rest in SD patients, including the limbic-cortical systems and the default mode network. This may be an important aspect of the underlying mechanisms for pathogenesis of SD at the neural level.
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Affiliation(s)
- Rui Yan
- Department of Psychiatry, The Affiliated Brain Hospital of Nanjing Medical University, Nanjing, China
| | - ShiWan Tao
- Department of Psychiatry, The Affiliated Brain Hospital of Nanjing Medical University, Nanjing, China
| | - HaiYan Liu
- Department of Psychiatry, The Affiliated Brain Hospital of Nanjing Medical University, Nanjing, China
| | - Yu Chen
- Department of Psychiatry, The Affiliated Brain Hospital of Nanjing Medical University, Nanjing, China
| | - JiaBo Shi
- Department of Psychiatry, The Affiliated Brain Hospital of Nanjing Medical University, Nanjing, China
| | - YuYin Yang
- Department of Psychiatry, The Affiliated Brain Hospital of Nanjing Medical University, Nanjing, China
| | - RongXin Zhu
- Department of Psychiatry, The Affiliated Brain Hospital of Nanjing Medical University, Nanjing, China
| | - ZhiJian Yao
- Department of Psychiatry, The Affiliated Brain Hospital of Nanjing Medical University, Nanjing, China.,Nanjing Brain Hospital, Medical School of Nanjing University, Nanjing, China
| | - Qing Lu
- School of Biological Sciences and Medical Engineering, Southeast University, Nanjing, China.,Child Development and Learning Science, Key Laboratory of Ministry of Education, Nanjing, China
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Yin Z, Chang M, Wei S, Jiang X, Zhou Y, Cui L, Lv J, Wang F, Tang Y. Decreased Functional Connectivity in Insular Subregions in Depressive Episodes of Bipolar Disorder and Major Depressive Disorder. Front Neurosci 2018; 12:842. [PMID: 30487732 PMCID: PMC6246657 DOI: 10.3389/fnins.2018.00842] [Citation(s) in RCA: 49] [Impact Index Per Article: 8.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/08/2018] [Accepted: 10/29/2018] [Indexed: 11/13/2022] Open
Abstract
Objective: Clinically, it is very difficult to distinguish between major depressive disorder (MDD) and bipolar disorder (BD) in the period of depression. Increasing evidence shows that the insula plays an important role in depression. We aimed to compare the resting-state functional connectivity (rsFC) of insular subregions in patients with MDD and BD in depressive episodes (BDD), who had never experienced manic or hypomanic episodes when they were scanned to identify biomarkers for the identification of two diseases. Methods: We recruited 21 BDD patients, 40 MDD patients and 70 healthy controls (HC). Resting-state functional magnetic resonance imaging (rs-fMRI) was performed. BDD patients had never had manic or hypomanic episodes when they were scanned, and the diagnoses were determined by follow-up. We divided the insula into three parts including the ventral anterior insular cortex (v-AIN), dorsal anterior insular cortex (d-AIN), and posterior insula (PI). The insular-based rsFC was compared among the three groups, and an analysis of the correlation between the rsFC value and Hamilton depression and anxiety scales was carried out. Results: BDD and MDD patients demonstrated decreased rsFC from the v-AIN to the left superior/middle frontal gyrus compared with the HC group. Versus MDD and HC groups, BDD patients exhibited decreased rsFC from the v-AIN to the area in the left orbital frontal gyrus and left superior temporal gyrus (included temporal pole), from the PI to the right lateral postcentral gyrus and from all three insular subregions to the somatosensory and motor cortex. Meanwhile, a correlation between the rsFC value of the PI-right lateral postcentral gyrus and anxiety score was observed in patients. Conclusion: Our findings show BDD and MDD patients have similar decreases in insular connectivity in the dorsal lateral frontal regions, and BDD patients have specific decreased insular connectivity, especially in the somatosensory and motor cortex, which may be used as imaging evidence for clinical identification.
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Affiliation(s)
- Zhiyang Yin
- Department of Psychiatry, The First Affiliated Hospital of China Medical University, Shenyang, China.,Brain Function Research Section, The First Affiliated Hospital of China Medical University, Shenyang, China
| | - Miao Chang
- Brain Function Research Section, The First Affiliated Hospital of China Medical University, Shenyang, China.,Department of Radiology, The First Affiliated Hospital of China Medical University, Shenyang, China
| | - Shengnan Wei
- Brain Function Research Section, The First Affiliated Hospital of China Medical University, Shenyang, China.,Department of Radiology, The First Affiliated Hospital of China Medical University, Shenyang, China
| | - Xiaowei Jiang
- Brain Function Research Section, The First Affiliated Hospital of China Medical University, Shenyang, China.,Department of Radiology, The First Affiliated Hospital of China Medical University, Shenyang, China
| | - Yifang Zhou
- Department of Psychiatry, The First Affiliated Hospital of China Medical University, Shenyang, China.,Department of Geriatric Medicine, The First Affiliated Hospital of China Medical University, Shenyang, China
| | - Lingling Cui
- Department of Radiology, The First Affiliated Hospital of China Medical University, Shenyang, China
| | - Jing Lv
- Department of Psychiatry, The First Affiliated Hospital of China Medical University, Shenyang, China.,Brain Function Research Section, The First Affiliated Hospital of China Medical University, Shenyang, China
| | - Fei Wang
- Department of Psychiatry, The First Affiliated Hospital of China Medical University, Shenyang, China.,Brain Function Research Section, The First Affiliated Hospital of China Medical University, Shenyang, China.,Department of Radiology, The First Affiliated Hospital of China Medical University, Shenyang, China
| | - Yanqing Tang
- Department of Psychiatry, The First Affiliated Hospital of China Medical University, Shenyang, China.,Brain Function Research Section, The First Affiliated Hospital of China Medical University, Shenyang, China.,Department of Geriatric Medicine, The First Affiliated Hospital of China Medical University, Shenyang, China
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Abstract
OBJECTIVES Obstructive sleep apnea (OSA) is associated with cognitive impairment but the relationships between specific biomarkers and neurocognitive domains remain unclear. The present study examined the influence of common health comorbidities on these relationships. Adults with suspected OSA (N=60; 53% male; M age=52 years; SD=14) underwent neuropsychological evaluation before baseline polysomnography (PSG). Apneic syndrome severity, hypoxic strain, and sleep architecture disturbance were assessed through PSG. METHODS Depression (Center for Epidemiological Studies Depression Scale, CESD), pain, and medical comorbidity (Charlson Comorbidity Index) were measured via questionnaires. Processing speed, attention, vigilance, memory, executive functioning, and motor dexterity were evaluated with cognitive testing. A winnowing approach identified 9 potential moderation models comprised of a correlated PSG variable, comorbid health factor, and cognitive performance. RESULTS Regression analyses identified one significant moderation model: average blood oxygen saturation (AVO2) and depression predicting recall memory, accounting for 31% of the performance variance, p<.001. Depression was a significant predictor of recall memory, p<.001, but AVO2 was not a significant predictor. The interaction between depression and AVO2 was significant, accounting for an additional 10% of the variance, p<.001. The relationship between low AVO2 and low recall memory performance emerged when depression severity ratings approached a previously established clinical cutoff score (CESD=16). CONCLUSIONS This study examined sleep biomarkers with specific neurocognitive functions among individuals with suspected OSA. Findings revealed that depression burden uniquely influence this pathophysiological relationship, which may aid clinical management. (JINS, 2018, 28, 864-875).
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50
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Ou Y, Liu F, Chen J, Pan P, Wu R, Su Q, Zhang Z, Zhao J, Guo W. Increased coherence-based regional homogeneity in resting-state patients with first-episode, drug-naive somatization disorder. J Affect Disord 2018; 235:150-154. [PMID: 29656259 DOI: 10.1016/j.jad.2018.04.036] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/23/2017] [Revised: 03/08/2018] [Accepted: 04/04/2018] [Indexed: 01/28/2023]
Abstract
BACKGROUND Abnormal neural activity has been observed in patients with somatization disorder (SD), especially in brain regions of the default-mode network (DMN). In this study, a coherence-based regional homogeneity (Cohe-ReHo) approach was used to detect abnormal regional synchronization in patients with SD, which might be used to differentiate the patients from the controls. METHODS We recruited 25 patients with SD and 28 healthy controls. The imaging data of the participants were analyzed using the Cohe-ReHo approach. LIBSVM (a library for support vector machines) was utilized to verify whether abnormal Cohe-ReHo values could be applied to separate patients with SD from healthy controls. RESULTS Compared with healthy controls, patients with SD showed an increased Cohe-ReHo in the left medial prefrontal cortex/anterior cingulate cortex (MPFC/ACC) (t = 5.5017, p < 0.001). No correlations were detected between the increased Cohe-ReHo values and clinical variables of the patients. The Cohe-ReHo values in the left MPFC/ACC could be applied to distinguish patients from controls with a sensitivity and a specificity of 84.00% and 85.71%, respectively. CONCLUSIONS An increased Cohe-ReHo was observed in the anterior DMN of the patients and could be applied as a marker to distinguish patients from healthy controls. These results highlighted the importance of the DMN in the pathophysiology of SD.
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Affiliation(s)
- Yangpan Ou
- Department of Psychiatry, The Second Xiangya Hospital of Central South University, Changsha, Hunan 410011, China
| | - Feng Liu
- Department of Radiology, Tianjin Medical University General Hospital, Tianjin 300000, China
| | - Jindong Chen
- Department of Psychiatry, The Second Xiangya Hospital of Central South University, Changsha, Hunan 410011, China
| | - Pan Pan
- Department of Psychiatry, The Second Xiangya Hospital of Central South University, Changsha, Hunan 410011, China
| | - Renrong Wu
- Department of Psychiatry, The Second Xiangya Hospital of Central South University, Changsha, Hunan 410011, China
| | - Qinji Su
- Mental Health Center of the First Affiliated Hospital, Guangxi Medical University, Nanning, Guangxi 530007, China
| | - Zhikun Zhang
- Mental Health Center of the First Affiliated Hospital, Guangxi Medical University, Nanning, Guangxi 530007, China
| | - Jingping Zhao
- Department of Psychiatry, The Second Xiangya Hospital of Central South University, Changsha, Hunan 410011, China
| | - Wenbin Guo
- Department of Psychiatry, The Second Xiangya Hospital of Central South University, Changsha, Hunan 410011, China.
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