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Yang H, Chen Y, Tao Q, Shi W, Tian Y, Wei Y, Li S, Zhang Y, Han S, Cheng J. Integrative molecular and structural neuroimaging analyses of the interaction between depression and age of onset: A multimodal magnetic resonance imaging study. Prog Neuropsychopharmacol Biol Psychiatry 2024; 134:111052. [PMID: 38871019 DOI: 10.1016/j.pnpbp.2024.111052] [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: 04/08/2024] [Revised: 05/30/2024] [Accepted: 06/10/2024] [Indexed: 06/15/2024]
Abstract
Depression is a neurodevelopmental disorder that exhibits progressive gray matter volume (GMV) atrophy. Research indicates that brain development is influential in depression-induced GMV alterations. However, the interaction between depression and age of onset is not well understood by the underlying molecular and neuropathological mechanisms. Thus, 152 first-episode depression individuals and matched 130 healthy controls (HCs) were recruited to undergo T1-weighted high-resolution magnetic resonance imaging for this study. By two-way ANOVA, age and diagnosis were used as factors when analyzing the interaction of GMV in the participants. Then, spatial correlations between neurotransmitter maps and factor-related volume maps are established. Results illustrate a pronounced antagonistic interaction between depression and age of onset in the right insula, superior temporal gyrus, anterior cingulate gyrus, and orbitofrontal gyrus. Depression-caused reductions in GMV are mainly distributed in thalamic-limbic-cortical regions, regardless of age. For the main effect of age, adults exhibit brain atrophy in frontal, cerebellum, parietal, and temporal lobe structures. Cross-modal correlations showed that GMV changes in the interactive regions were linked with the serotonergic system and dopaminergic systems. Summarily, our results reveal the interaction between depression and age of onset in neurobiological mechanisms, which provide hints for future treatment of different ages of depression.
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Affiliation(s)
- Huiting Yang
- Department of Magnetic Resonance Imaging, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, China; Zhengzhou Key Laboratory of brain function and cognitive magnetic resonance imaging, Zhengzhou, China; Henan Engineering Technology Research Center for detection and application of brain function, Zhengzhou, China; Henan Engineering Research Center of medical imaging intelligent diagnosis and treatment, Zhengzhou, China; Henan key laboratory of imaging intelligence research, Zhengzhou, China; Henan Engineering Research Center of Brain Function Development and Application, Zhengzhou, China
| | - Yuan Chen
- Department of Magnetic Resonance Imaging, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, China; Zhengzhou Key Laboratory of brain function and cognitive magnetic resonance imaging, Zhengzhou, China; Henan Engineering Technology Research Center for detection and application of brain function, Zhengzhou, China; Henan Engineering Research Center of medical imaging intelligent diagnosis and treatment, Zhengzhou, China; Henan key laboratory of imaging intelligence research, Zhengzhou, China; Henan Engineering Research Center of Brain Function Development and Application, Zhengzhou, China
| | - Qiuying Tao
- Department of Magnetic Resonance Imaging, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, China; Zhengzhou Key Laboratory of brain function and cognitive magnetic resonance imaging, Zhengzhou, China; Henan Engineering Technology Research Center for detection and application of brain function, Zhengzhou, China; Henan Engineering Research Center of medical imaging intelligent diagnosis and treatment, Zhengzhou, China; Henan key laboratory of imaging intelligence research, Zhengzhou, China; Henan Engineering Research Center of Brain Function Development and Application, Zhengzhou, China
| | - Wenqing Shi
- Department of Magnetic Resonance Imaging, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, China; Zhengzhou Key Laboratory of brain function and cognitive magnetic resonance imaging, Zhengzhou, China; Henan Engineering Technology Research Center for detection and application of brain function, Zhengzhou, China; Henan Engineering Research Center of medical imaging intelligent diagnosis and treatment, Zhengzhou, China; Henan key laboratory of imaging intelligence research, Zhengzhou, China; Henan Engineering Research Center of Brain Function Development and Application, Zhengzhou, China
| | - Ya Tian
- Department of Magnetic Resonance Imaging, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, China; Zhengzhou Key Laboratory of brain function and cognitive magnetic resonance imaging, Zhengzhou, China; Henan Engineering Technology Research Center for detection and application of brain function, Zhengzhou, China; Henan Engineering Research Center of medical imaging intelligent diagnosis and treatment, Zhengzhou, China; Henan key laboratory of imaging intelligence research, Zhengzhou, China; Henan Engineering Research Center of Brain Function Development and Application, Zhengzhou, China
| | - Yarui Wei
- Department of Magnetic Resonance Imaging, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, China; Zhengzhou Key Laboratory of brain function and cognitive magnetic resonance imaging, Zhengzhou, China; Henan Engineering Technology Research Center for detection and application of brain function, Zhengzhou, China; Henan Engineering Research Center of medical imaging intelligent diagnosis and treatment, Zhengzhou, China; Henan key laboratory of imaging intelligence research, Zhengzhou, China; Henan Engineering Research Center of Brain Function Development and Application, Zhengzhou, China
| | - Shuying Li
- Department of Psychiatry, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Yong Zhang
- Department of Magnetic Resonance Imaging, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, China; Zhengzhou Key Laboratory of brain function and cognitive magnetic resonance imaging, Zhengzhou, China; Henan Engineering Technology Research Center for detection and application of brain function, Zhengzhou, China; Henan Engineering Research Center of medical imaging intelligent diagnosis and treatment, Zhengzhou, China; Henan key laboratory of imaging intelligence research, Zhengzhou, China; Henan Engineering Research Center of Brain Function Development and Application, Zhengzhou, China.
| | - Shaoqiang Han
- Department of Magnetic Resonance Imaging, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, China; Zhengzhou Key Laboratory of brain function and cognitive magnetic resonance imaging, Zhengzhou, China; Henan Engineering Technology Research Center for detection and application of brain function, Zhengzhou, China; Henan Engineering Research Center of medical imaging intelligent diagnosis and treatment, Zhengzhou, China; Henan key laboratory of imaging intelligence research, Zhengzhou, China; Henan Engineering Research Center of Brain Function Development and Application, Zhengzhou, China.
| | - Jingliang Cheng
- Department of Magnetic Resonance Imaging, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, China; Zhengzhou Key Laboratory of brain function and cognitive magnetic resonance imaging, Zhengzhou, China; Henan Engineering Technology Research Center for detection and application of brain function, Zhengzhou, China; Henan Engineering Research Center of medical imaging intelligent diagnosis and treatment, Zhengzhou, China; Henan key laboratory of imaging intelligence research, Zhengzhou, China; Henan Engineering Research Center of Brain Function Development and Application, Zhengzhou, China.
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Zhang X, Zhou W, Wang H, Bai Y, Zhang F, Lu W. Association between healthy eating and depression symptoms among Chinese older adults: A cross-sectional study based on the Chinese Longitudinal Healthy Longevity survey. Prev Med Rep 2024; 38:102616. [PMID: 38298821 PMCID: PMC10828603 DOI: 10.1016/j.pmedr.2024.102616] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/31/2023] [Revised: 01/12/2024] [Accepted: 01/14/2024] [Indexed: 02/02/2024] Open
Abstract
Introduction This study aimed to assess the relationship between the healthy eating index (HEI) and depression symptoms in an older adult population using the Chinese Longevity Health Survey. Methods The HEI was constructed based on the frequency of intake of 13 dietary variables, with higher scores indicating better diet quality. Depression symptoms was assessed by the Center for Epidemiologic Studies Depression-10 scale. We used multivariate binary logistic regression to explore the association between the HEI and depression symptoms and reported as odds ratio (OR) and 95 % confidence interval (95 % CI). Results A total of 12,078 older adults were included. The average HEI for this group of older adults was 26.4 ± 7.1. After adjusting for covariates, compared with participants in the lowest quartile of a healthy eating index, those in the second to the fourth quartile group had a 0.93- (95 % CI: 0.83 to 1.03), 0.84- (95 % CI: 0.75 to 0.95) and 0.69- (95 % CI: 0.62 to 0.77) fold risk of depression symptoms, respectively. Restricted cubic spline curves showed that the risk of depression symptoms decreased with increasing HEI, especially above 26, and for each unit increase in the HEI, the risk of depression symptoms in older adults decreased by 3 % (OR = 0.97; 95 % CI: 0.96 to 0.99). Conclusions This study found an association between higher levels of the HEI and reduced risk of depression symptoms in older Chinese adults. This result emphasizes the need to focus on dietary diversity in older adults to promote healthy aging.
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Affiliation(s)
- Xinyue Zhang
- Department of Oncology, Longhua Hospital Shanghai University of Traditional Chinese Medicine, Shanghai, China
| | - Wenqin Zhou
- Department of Nursing, Longhua Hospital Shanghai University of Traditional Chinese Medicine, Shanghai, China
| | - Hui Wang
- Department of Anorectology, Longhua Hospital Shanghai University of Traditional Chinese Medicine, Shanghai, China
| | - Yan Bai
- Department of Nephrology A, Longhua Hospital Shanghai University of Traditional Chinese Medicine, Shanghai, China
| | - Fan Zhang
- Department of Nephrology A, Longhua Hospital Shanghai University of Traditional Chinese Medicine, Shanghai, China
| | - Wei Lu
- Department of Nursing, Longhua Hospital Shanghai University of Traditional Chinese Medicine, Shanghai, China
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Zhang E, Hauson AO, Pollard AA, Meis B, Lackey NS, Carson B, Khayat S, Fortea L, Radua J. Lateralized grey matter volume changes in adolescents versus adults with major depression: SDM-PSI meta-analysis. Psychiatry Res Neuroimaging 2023; 335:111691. [PMID: 37837793 DOI: 10.1016/j.pscychresns.2023.111691] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/14/2023] [Revised: 05/22/2023] [Accepted: 07/19/2023] [Indexed: 10/16/2023]
Abstract
The current study is the first meta-analysis to examine grey matter volume (GMV) changes in adolescents and across the lifespan in major depressive disorder (MDD). Seed-based d mapping-with permutation of subject images (SDM-PSI) has advantages over previous coordinate-based meta-analytical methods (CBMA), such as reducing bias (via the MetaNSUE algorithm) and including non-statistically significant unreported effects. SDM-PSI was used to analyze 105 whole-brain GMV voxel-based morphometry (VBM) studies comparing 6,530 individuals with MDD versus 6,821 age-matched healthy controls (HC). A laterality effect was observed in which adults with MDD showed lower GMV than adult HC in left fronto-temporo-parietal structures (superior temporal gyrus, insula, Rolandic operculum, and inferior frontal gyrus). However, these abnormalities were not statistically significant for adolescent MDD versus adolescent HC. Instead, adolescent MDD showed lower GMV than adult MDD in right temporo-parietal structures (angular gyrus and middle temporal gyrus). These regional differences may be used as potential biomarkers to predict and monitor treatment outcomes as well as to choose the most effective treatments in adolescents versus adults. Finally, due to the paucity of youth, older adult, and longitudinal studies, future studies should attempt to replicate these GMV findings and examine whether they correlate with treatment response and illness severity.
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Affiliation(s)
- Emily Zhang
- California School of Professional Psychology, Clinical Psychology Ph.D. Program, San Diego, CA, United States of America; Institute of Brain Research and Integrated Neuropsychological Services (iBRAINs.org), San Diego, CA, United States of America
| | - Alexander O Hauson
- California School of Professional Psychology, Clinical Psychology Ph.D. Program, San Diego, CA, United States of America; Institute of Brain Research and Integrated Neuropsychological Services (iBRAINs.org), San Diego, CA, United States of America; Department of Psychiatry, University of California San Diego, La Jolla, CA, United States of America.
| | - Anna A Pollard
- California School of Professional Psychology, Clinical Psychology Ph.D. Program, San Diego, CA, United States of America; Institute of Brain Research and Integrated Neuropsychological Services (iBRAINs.org), San Diego, CA, United States of America
| | - Benjamin Meis
- California School of Professional Psychology, Clinical Psychology Ph.D. Program, San Diego, CA, United States of America; Institute of Brain Research and Integrated Neuropsychological Services (iBRAINs.org), San Diego, CA, United States of America
| | - Nicholas S Lackey
- California School of Professional Psychology, Clinical Psychology Ph.D. Program, San Diego, CA, United States of America; Institute of Brain Research and Integrated Neuropsychological Services (iBRAINs.org), San Diego, CA, United States of America
| | - Bryce Carson
- California School of Professional Psychology, Clinical Psychology Ph.D. Program, San Diego, CA, United States of America; Institute of Brain Research and Integrated Neuropsychological Services (iBRAINs.org), San Diego, CA, United States of America
| | - Sarah Khayat
- Institute of Brain Research and Integrated Neuropsychological Services (iBRAINs.org), San Diego, CA, United States of America
| | - Lydia Fortea
- Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain; Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Instituto de Salud Carlos III, Madrid, Spain; Department of Medicine, University of Barcelona, Barcelona, Spain
| | - Joaquim Radua
- Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain; Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Instituto de Salud Carlos III, Madrid, Spain; Department of Medicine, University of Barcelona, Barcelona, Spain; Department of Clinical Neuroscience, Centre for Psychiatry Research, Karolinska Institutet, Stockholm, Sweden; Department of Psychosis Studies, Institute of Psychology, Psychiatry, and Neuroscience, King's College London, London, United Kingdom
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Sun N, Liu M, Liu P, Zhang A, Yang C, Liu Z, Li J, Li G, Wang Y, Zhang K. Abnormal cortical-striatal-thalamic-cortical circuit centered on the thalamus in MDD patients with somatic symptoms: Evidence from the REST-meta-MDD project. J Affect Disord 2023; 323:71-84. [PMID: 36395992 DOI: 10.1016/j.jad.2022.11.023] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/17/2022] [Revised: 08/21/2022] [Accepted: 11/07/2022] [Indexed: 11/16/2022]
Abstract
OBJECTIVE Somatic symptoms are common comorbidities of major depressive disorder (MDD), and negatively impact the course and severity of the disease. In order to enrich the understanding of the pathological mechanism and clarify the neurobiological basis of somatic symptoms in depression, we attempted to explore the changes of brain structure and function in a large sample between depression with and without somatic symptoms. METHODS Structure magnetic resonance imaging (MRI) data were collected from 342 patients with somatic symptoms (SD), 208 patients without somatic symptoms (NSD), and 510 healthy controls (HCs) based on the REST-meta-MDD project. We analyzed the whole brain VBM maps of the three groups, and combined with weight degree centrality (DC) index, we investigated whether the brain regions with gray matter volume (GMV) and gray matter density (GMD) abnormalities in MDD patients with somatic symptoms had corresponding brain functional abnormalities. RESULTS Between depression with and without somatic symptoms, we found that there are extensive GMV and GMD differences involving cortical regions such as the temporal lobe, occipital lobe, and insula, as well as subcortical brain regions such as thalamus and striatum. The comparison results of weight DC signals of GMV and GMD abnormal clusters between the SD and NSD groups were basically consistent with the GMV and GMD abnormal clusters. CONCLUSION The results indicate that the structure and function of cortical-striatal-thalamic-cortical (CSTC) circuit centered on the thalamus were abnormal in MDD patients with somatic symptoms. This may be the neurobiological basis of somatic symptoms in MDD.
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Affiliation(s)
- Ning Sun
- Department of Psychiatry, First Hospital of Shanxi Medical University, Taiyuan, Shanxi 030001, China; Department of Mental Health, Shanxi Medical University, Taiyuan, Shanxi 030001, China
| | - Min Liu
- Department of Psychosomatic, Xijing Hospital, Air Force Medical University, Xi'an, Shaanxi 710032, China
| | - Penghong Liu
- Department of Psychiatry, First Hospital of Shanxi Medical University, Taiyuan, Shanxi 030001, China
| | - Aixia Zhang
- Department of Psychiatry, First Hospital of Shanxi Medical University, Taiyuan, Shanxi 030001, China
| | - Chunxia Yang
- Department of Psychiatry, First Hospital of Shanxi Medical University, Taiyuan, Shanxi 030001, China
| | - Zhifen Liu
- Department of Psychiatry, First Hospital of Shanxi Medical University, Taiyuan, Shanxi 030001, China; Department of Mental Health, Shanxi Medical University, Taiyuan, Shanxi 030001, China
| | - Jianying Li
- Department of Psychiatry, First Hospital of Shanxi Medical University, Taiyuan, Shanxi 030001, China
| | - Gaizhi Li
- Department of Psychiatry, First Hospital of Shanxi Medical University, Taiyuan, Shanxi 030001, China
| | - Yanfang Wang
- Department of Psychiatry, First Hospital of Shanxi Medical University, Taiyuan, Shanxi 030001, China
| | - Kerang Zhang
- Department of Psychiatry, First Hospital of Shanxi Medical University, Taiyuan, Shanxi 030001, China.
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Jiang J, Li L, Lin J, Hu X, Zhao Y, Sweeney JA, Gong Q. A voxel-based meta-analysis comparing medication-naive patients of major depression with treated longer-term ill cases. Neurosci Biobehav Rev 2023; 144:104991. [PMID: 36476776 DOI: 10.1016/j.neubiorev.2022.104991] [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: 05/05/2022] [Revised: 11/19/2022] [Accepted: 12/02/2022] [Indexed: 12/12/2022]
Abstract
Structural neuroimaging studies have identified brain areas implicated in the pathogenesis of major depressive disorder (MDD). However, findings have been inconsistent, potentially due to variable illness duration and effects of antidepressant treatment. Using a meta-analytic approach, we compared gray matter (GM) volumes in patients grouped by medication status (naïve and treated) and illness duration (early course and long-term ill) to identify potential treatment and illness duration effects on brain structure. A total of 70 studies were included, including 3682 patients and 3469 controls. The pooled analysis found frontal, temporal and limbic regions with decreased GM volume in MDD patients. Additional analyses indicated that larger GM volume in the right striatum and smaller GM volume in the right precuneus are likely to be associated with drug effects, while smaller GM volume in the right temporal gyrus may correlate with longer illness duration. Similar GM decreases in bilateral medial frontal cortex between patient subgroups suggest that this alteration may persist over the course of illness and drug treatment.
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Affiliation(s)
- Jing Jiang
- Huaxi MR Research Center (HMRRC), Department of Radiology, West China Hospital of Sichuan University, Chengdu 610041, Sichuan, China; Research Unit of Psychoradiology, Chinese Academy of Medical Sciences, Chengdu 610041, Sichuan, China
| | - Lei Li
- Huaxi MR Research Center (HMRRC), Department of Radiology, West China Hospital of Sichuan University, Chengdu 610041, Sichuan, China; Functional and Molecular Imaging Key Laboratory of Sichuan Province, West China Hospital of Sichuan University, Chengdu 610041, Sichuan, China
| | - Jinping Lin
- Huaxi MR Research Center (HMRRC), Department of Radiology, West China Hospital of Sichuan University, Chengdu 610041, Sichuan, China; Research Unit of Psychoradiology, Chinese Academy of Medical Sciences, Chengdu 610041, Sichuan, China
| | - Xinyu Hu
- Huaxi MR Research Center (HMRRC), Department of Radiology, West China Hospital of Sichuan University, Chengdu 610041, Sichuan, China
| | - Youjin Zhao
- Huaxi MR Research Center (HMRRC), Department of Radiology, West China Hospital of Sichuan University, Chengdu 610041, Sichuan, China; Functional and Molecular Imaging Key Laboratory of Sichuan Province, West China Hospital of Sichuan University, Chengdu 610041, Sichuan, China
| | - John A Sweeney
- Huaxi MR Research Center (HMRRC), Department of Radiology, West China Hospital of Sichuan University, Chengdu 610041, Sichuan, China; Department of Psychiatry and Behavioral Neuroscience, University of Cincinnati College of Medicine, Cincinnati, OH 45219, USA
| | - Qiyong Gong
- Huaxi MR Research Center (HMRRC), Department of Radiology, West China Hospital of Sichuan University, Chengdu 610041, Sichuan, China; Department of Radiology, West China Xiamen Hospital of Sichuan University, Xiamen 361021, Fujian, China.
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Ding Y, Ou Y, Yan H, Fu X, Yan M, Li H, Liu F, Guo W. Disrupted Cerebellar-Default Mode Network Functional Connectivity in Major Depressive Disorder With Gastrointestinal Symptoms. Front Cell Neurosci 2022; 16:833592. [PMID: 35308120 PMCID: PMC8927069 DOI: 10.3389/fncel.2022.833592] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/11/2021] [Accepted: 02/10/2022] [Indexed: 11/30/2022] Open
Abstract
Gastrointestinal (GI) symptoms are one of the common somatic symptoms presented in patients with major depressive disorder (MDD). Higher frequency of GI symptoms and higher GI symptom burden were linked to greater depression severity and increased risk of suicide ideation. However, few studies have explored the underlying mechanisms of GI symptoms in MDD. Based on previous studies, the cerebellar-DMN circuits may play a potentially critical role in GI symptoms comorbid with depression. Fifty-two first-episode drug-naive patients with MDD (35 with GI symptoms and 17 without GI symptoms) and 28 matched healthy controls were recruited in the current study and underwent resting-state functional magnetic resonance imaging scan. Cerebellar seed-based functional connectivity maps were established. Relative to depressed patients without GI symptoms, significantly increased cerebellar-anterior default mode network (DMN) connectivities were found in those with GI symptoms. Both increased and decreased functional connectivities were found between cerebellum and posterior DMN in patients with GI symptoms compared with those without GI symptoms and healthy controls. Moreover, the right Crus I - right superior temporal gyrus connectivity value was related to severity of GI symptoms and depression in all patients with MDD. The support vector machine analysis demonstrated a satisfactory classification accuracy (89%) of the disrupted cerebellar-DMN connectivities for correctly identifying MDD patients with GI symptoms. These results revealed the possible neural mechanisms for the involvement of cerebellar-DMN circuits in GI symptoms co-occurred with MDD.
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Affiliation(s)
- Yudan Ding
- Department of Psychiatry, National Clinical Research Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha, China
| | - Yangpan Ou
- Department of Psychiatry, National Clinical Research Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha, China
| | - Haohao Yan
- Department of Psychiatry, National Clinical Research Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha, China
| | - Xiaoya Fu
- Department of Psychiatry, National Clinical Research Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha, China
| | - Meiqi Yan
- Department of Psychiatry, National Clinical Research Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha, China
| | - Huabing Li
- Department of Radiology, The Second Xiangya Hospital of Central South University, Changsha, China
- Hunan Key Laboratory of Children’s Psychological Development and Brain Cognitive Science, Changsha, China
| | - Feng Liu
- Department of Radiology, Tianjin Medical University General Hospital, Tianjin, China
| | - Wenbin Guo
- Department of Psychiatry, National Clinical Research Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha, China
- Department of Psychiatry, The Third People’s Hospital of Foshan, Foshan, China
- *Correspondence: Wenbin Guo,
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Cheng B, Zhou Y, Kwok VPY, Li Y, Wang S, Zhao Y, Meng Y, Deng W, Wang J. Altered Functional Connectivity Density and Couplings in Postpartum Depression with and Without Anxiety. Soc Cogn Affect Neurosci 2021; 17:756-766. [PMID: 34904174 PMCID: PMC9340108 DOI: 10.1093/scan/nsab127] [Citation(s) in RCA: 20] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/20/2021] [Revised: 10/28/2021] [Accepted: 12/13/2021] [Indexed: 02/05/2023] Open
Abstract
Postpartum depression (PPD) is the most common psychological health issue among women, which often comorbids with anxiety (PPD-A). PPD and PPD-A showed highly overlapping clinical symptoms. Identifying disorder-specific neurophysiological markers of PDD and PPD-A is important for better clinical diagnosis and treatments. Here, we performed functional connectivity density (FCD) and resting-state functional connectivity (rsFC) analyses in 138 participants (45 unmedicated patients with first-episode PPD, 31 PDD-A patients and 62 healthy postnatal women, respectively). FCD mapping revealed specifically weaker long-range FCD in right lingual gyrus (LG.R) for PPD patients and significantly stronger long-range FCD in left ventral striatum (VS.L) for PPD-A patients. The follow-up rsFC analyses further revealed reduced functional connectivity between dorsomedial prefrontal cortex (dmPFC) and VS.L in both PPD and PPD-A. PPD showed specific changes of rsFC between LG.R and dmPFC, right angular gyrus and left precentral gyrus, while PPD-A represented specifically abnormal rsFC between VS.L and left ventrolateral prefrontal cortex. Moreover, the altered FCD and rsFC were closely associated with depression and anxiety symptoms load. Taken together, our study is the first to identify common and disorder-specific neural circuit disruptions in PPD and PPD-A, which may facilitate more effective diagnosis and treatments.
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Affiliation(s)
- Bochao Cheng
- Department of Radiology, West China Second University Hospital of Sichuan University, Chengdu 610041, China.,Huaxi MR Research Center (HMRRC), Department of Radiology, West China Hospital of Sichuan University, Chengdu 610041, China
| | - Yushan Zhou
- Department of Nuclear Medicine, West China Hospital of Sichuan University, Chengdu, China.,Key Laboratory of Birth Defects and Related Diseases of Women and Children (Sichuan University), Ministry of Education, Chengdu 610041, China
| | - Veronica P Y Kwok
- Center for Language and Brain, Shenzhen Institute of Neuroscience, Shenzhen 518057, China
| | - Yuanyuan Li
- Key Laboratory for NeuroInformation of the Ministry of Education, School of life Science and technology, University of Electronic Science and Technology of China, Chengdu 625014, China
| | - Song Wang
- Huaxi MR Research Center (HMRRC), Department of Radiology, West China Hospital of Sichuan University, Chengdu 610041, China
| | - Yajun Zhao
- School of Sociality and Psychology, Southwest Minzu University, Chengdu, China
| | - Yajing Meng
- Department of Psychiatry, West China Hospital of Sichuan University, Chengdu 610041, China
| | - Wei Deng
- Department of Psychiatry, West China Hospital of Sichuan University, Chengdu 610041, China
| | - Jiaojian Wang
- State Key Laboratory of Primate Biomedical Research, Institute of Primate Translational Medicine, Kunming University of Science and Technology, Kunming 650500, China
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Liu P, Tu H, Zhang A, Yang C, Liu Z, Lei L, Wu P, Sun N, Zhang K. Brain functional alterations in MDD patients with somatic symptoms: A resting-state fMRI study. J Affect Disord 2021; 295:788-796. [PMID: 34517253 DOI: 10.1016/j.jad.2021.08.143] [Citation(s) in RCA: 37] [Impact Index Per Article: 12.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/18/2021] [Revised: 07/22/2021] [Accepted: 08/27/2021] [Indexed: 01/22/2023]
Abstract
OBJECTIVE It has been established that major depressive disorder (MDD) is accompanied by various somatic symptoms that are related to the clinical course and severity of depression. However, the mechanisms of somatic symptoms in MDD have rarely been studied. In this study, we sought to investigate the functional neurological changes in MDD patients with somatic symptoms based off the regional homogeneity (ReHo) and the amplitude of low-frequency fluctuation (ALFF). METHOD Study participants included 74 first-episode, drug naïve MDD patients as well as 70 healthy subjects (HCs). Patients diagnosed with MDD were separated into two groups based on the presence (n=50) or absence (n=24) of somatic symptoms. Functional images were obtained and analyzed. Alterations in ReHo/ALFF and the severity of clinical symptoms were investigated using correlation analysis. RESULTS More severe depressive symptoms were observed in the somatic depression group than that of the pure depression group (P< 0.001). Furthermore, there was a significant reduction in ReHo and ALFF in the bilateral precentral gyrus, bilateral postcentral gyrus, and left paracentral gyrus in the somatic MDD group as compared to the pure depression group (GRF correction, voxel-P< 0.001, cluster-P < 0.01). Pearson correlation analysis revealed a negative correlation between ReHo and ALFF values in these abnomal regions with the severity of somatic and depressive symptoms (P< 0.01). CONCLUSION Somatic depression is more severe than pure depression. The ReHo and ALFF changes in the precentral gyrus, postcentral gyrus, and paracentral gyrus may serve a significant role in the pathophysiology of somatic symptoms in MDD.
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Affiliation(s)
- Penghong Liu
- Department of Psychiatry, First Hospital of Shanxi Medical University, Taiyuan 030001, PR China; Shanxi Medical University, Taiyuan 030001, PR China
| | - Hongwei Tu
- Department of Psychiatry, First Hospital of Shanxi Medical University, Taiyuan 030001, PR China; Shanxi Medical University, Taiyuan 030001, PR China
| | - Aixia Zhang
- Department of Psychiatry, First Hospital of Shanxi Medical University, Taiyuan 030001, PR China
| | - Chunxia Yang
- Department of Psychiatry, First Hospital of Shanxi Medical University, Taiyuan 030001, PR China
| | - Zhifen Liu
- Department of Psychiatry, First Hospital of Shanxi Medical University, Taiyuan 030001, PR China
| | - Lei Lei
- Department of Psychiatry, First Hospital of Shanxi Medical University, Taiyuan 030001, PR China; Department of Psychiatry, Second Hospital of Shanxi Medical University, Taiyuan 030001, PR China
| | - Peiyi Wu
- Department of Psychiatry, First Hospital of Shanxi Medical University, Taiyuan 030001, PR China; Shanxi Medical University, Taiyuan 030001, PR China
| | - Ning Sun
- Department of Psychiatry, First Hospital of Shanxi Medical University, Taiyuan 030001, PR China.
| | - Kerang Zhang
- Department of Psychiatry, First Hospital of Shanxi Medical University, Taiyuan 030001, PR China.
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9
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Liu Y, Ou Y, Zhao J, Guo W. Abnormal interhemispheric homotopic functional connectivity is correlated with gastrointestinal symptoms in patients with major depressive disorder. J Psychiatr Res 2021; 144:234-240. [PMID: 34700211 DOI: 10.1016/j.jpsychires.2021.10.016] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/26/2021] [Revised: 09/06/2021] [Accepted: 10/18/2021] [Indexed: 10/20/2022]
Abstract
The severity of major depressive disorder (MDD) can be aggravated by gastrointestinal (GI) symptoms, but the neuroimaging mechanism underlying GI symptoms still remains unclear. In this study, we recruited 52 medication-free and first-episode MDD patients (35 with GI symptoms and 17 without GI symptoms) and 28 age-, sex-, and education-matched healthy controls to explore the inter-group differences in neuroimaging findings. All the participants underwent resting-state functional magnetic resonance imaging (fMRI) scan, and the functional connectivities that were reported to be abnormal in MDD were our focus of exploration. Voxel-mirrored homotopic connectivity (VMHC) method was used to explore the interhemispheric homotopic functional connectivity of all the subjects. Patients with MDD showed significantly different VMHC in brain regions in the default mode network (DMN), including the middle frontal gyrus, precuneus, inferior parietal lobule, and posterior cingulate cortex. Patients with GI symptoms exhibited significantly decreased interhemispheric homotopic functional connectivity in the middle frontal gyrus and superior frontal gyrus, compared with patients without GI symptoms. These results suggested that the DMN is involved in the neuropathology of MDD. Interhemispheric homotopic connectivity in specific regions could be applied as a biomarker to distinguish MDD patients with GI symptoms from those without GI symptoms.
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Affiliation(s)
- Yi Liu
- National Clinical Research Center for Mental Disorders, and Department of Psychiatry, The Second Xiangya Hospital of Central South University, Changsha, 410011, Hunan, China
| | - Yangpan Ou
- National Clinical Research Center for Mental Disorders, and Department of Psychiatry, The Second Xiangya Hospital of Central South University, Changsha, 410011, Hunan, China
| | - Jingping Zhao
- National Clinical Research Center for Mental Disorders, and Department of Psychiatry, The Second Xiangya Hospital of Central South University, Changsha, 410011, Hunan, China
| | - Wenbin Guo
- National Clinical Research Center for Mental Disorders, and Department of Psychiatry, The Second Xiangya Hospital of Central South University, Changsha, 410011, Hunan, China.
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10
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Zacková L, Jáni M, Brázdil M, Nikolova YS, Marečková K. Cognitive impairment and depression: Meta-analysis of structural magnetic resonance imaging studies. Neuroimage Clin 2021; 32:102830. [PMID: 34560530 PMCID: PMC8473769 DOI: 10.1016/j.nicl.2021.102830] [Citation(s) in RCA: 32] [Impact Index Per Article: 10.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/18/2021] [Revised: 09/05/2021] [Accepted: 09/12/2021] [Indexed: 12/29/2022]
Abstract
Longitudinal comorbidity of depression and cognitive impairment has been reported by number of epidemiological studies but the underlying mechanisms explaining the link between affective problems and cognitive decline are not very well understood. Imaging studies have typically investigated patients with major depressive disorder (MDD) and mild cognitive impairment (MCI) separately and thus have not identified a structural brain signature common to these conditions that may illuminate potentially targetable shared biological mechanisms. We performed a meta-analysis of. 48 voxel-based morphometry (VBM) studies of individuals with MDD, MCI, and age-matched controls and demonstrated that MDD and MCI patients had shared volumetric reductions in a number of regions including the insula, superior temporal gyrus (STG), inferior frontal gyrus, amygdala, hippocampus, and thalamus. We suggest that the shared volumetric reductions in the insula and STG might reflect communication deficits and infrequent participation in mentally or socially stimulating activities, which have been described as risk factors for both MCI and MDD. We also suggest that the disease-specific structural changes might reflect the disease-specific symptoms such as poor integration of emotional information, feelings of helplessness and worthlessness, and anhedonia in MDD. These findings could contribute to better understanding of the origins of MDD-MCI comorbidity and facilitate development of early interventions.
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Affiliation(s)
- Lenka Zacková
- Brain and Mind Research Programme, Central European Institute of Technology, Masaryk University (CEITEC MU), 5 Kamenice, Brno 62500, Czech Republic; Department of Neurology, St. Anne's University Hospital and Faculty of Medicine, Masaryk University, 664/53 Pekarska, Brno 65691, Czech Republic.
| | - Martin Jáni
- Brain and Mind Research Programme, Central European Institute of Technology, Masaryk University (CEITEC MU), 5 Kamenice, Brno 62500, Czech Republic; Department of Psychiatry, Faculty of Medicine, Masaryk University and University Hospital Brno, Jihlavská 20, Brno 62500, Czech Republic
| | - Milan Brázdil
- Brain and Mind Research Programme, Central European Institute of Technology, Masaryk University (CEITEC MU), 5 Kamenice, Brno 62500, Czech Republic; Department of Neurology, St. Anne's University Hospital and Faculty of Medicine, Masaryk University, 664/53 Pekarska, Brno 65691, Czech Republic
| | - Yuliya S Nikolova
- Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, 250 College Street, Toronto, ON M5T 1L8, Canada
| | - Klára Marečková
- Brain and Mind Research Programme, Central European Institute of Technology, Masaryk University (CEITEC MU), 5 Kamenice, Brno 62500, Czech Republic; Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, 250 College Street, Toronto, ON M5T 1L8, Canada
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11
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Zheng R, Zhang Y, Yang Z, Han S, Cheng J. Reduced Brain Gray Matter Volume in Patients With First-Episode Major Depressive Disorder: A Quantitative Meta-Analysis. Front Psychiatry 2021; 12:671348. [PMID: 34276443 PMCID: PMC8282212 DOI: 10.3389/fpsyt.2021.671348] [Citation(s) in RCA: 21] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/23/2021] [Accepted: 06/02/2021] [Indexed: 12/21/2022] Open
Abstract
Background: The findings of many neuroimaging studies in patients with first-episode major depressive disorder (MDD), and even those of previous meta-analysis, are divergent. To quantitatively integrate these studies, we performed a meta-analysis of gray matter volumes using voxel-based morphometry (VBM). Methods: We performed a comprehensive literature search for relevant studies and traced the references up to May 1, 2021 to select the VBM studies between first-episode MDD and healthy controls (HC). A quantitative meta-analysis of VBM studies on first-episode MDD was performed using the Seed-based d Mapping with Permutation of Subject Images (SDM-PSI) method, which allows a familywise error rate (FWE) correction for multiple comparisons of the results. Meta-regression was used to explore the effects of demographics and clinical characteristics. Results: Nineteen studies, with 22 datasets comprising 619 first-episode MDD and 707 HC, were included. The pooled and subgroup meta-analysis showed robust gray matter reductions in the left insula, the bilateral parahippocampal gyrus extending into the bilateral hippocampus, the right gyrus rectus extending into the right striatum, the right superior frontal gyrus (dorsolateral part), the left superior frontal gyrus (medial part) and the left superior parietal gyrus. Meta-regression analyses showed that higher HDRS scores were significantly more likely to present reduced gray matter volumes in the right amygdala, and the mean age of MDD patients in each study was negatively correlated with reduced gray matter in the left insula. Conclusions: The present meta-analysis revealed that structural abnormalities in the fronto-striatal-limbic and fronto-parietal networks are essential characteristics in first-episode MDD patients, which may become a potential target for clinical intervention.
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Affiliation(s)
- Ruiping Zheng
- Department of Magnetic Resonance Imaging, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Yong Zhang
- Department of Magnetic Resonance Imaging, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Zhengui Yang
- Department of Magnetic Resonance Imaging, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Shaoqiang Han
- Department of Magnetic Resonance Imaging, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Jingliang Cheng
- Department of Magnetic Resonance Imaging, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
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12
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Wu YJ, Wu N, Huang X, Rao J, Yan L, Shi L, Huang H, Li SY, Zhou FQ, Wu XR. Evidence of cortical thickness reduction and disconnection in high myopia. Sci Rep 2020; 10:16239. [PMID: 33004887 PMCID: PMC7530748 DOI: 10.1038/s41598-020-73415-3] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/13/2020] [Accepted: 08/21/2020] [Indexed: 01/22/2023] Open
Abstract
High myopia (HM) is associated with impaired long-distance vision. accumulating evidences reported that abnormal visual experience leads to dysfunction in brain activity in HM even corrected. However, whether the long-term of abnormal visual experience lead to neuroanatomical changes remain unknown, the aim at this study is to investigate the alternation of cortical surface thickness in HM patients. 82 patients with HM (HM groups), 57 healthy controls (HC groups) were recruited. All participants underwent high-resolution T1 and resting-state functional magnetic resonance imaging (MRI) scans. The cortical thickness analysis was preformed to investigate the neuroanatomical changes in HM patients using computational anatomy toolbox (CAT 12) toolbox. Compare with HCs, HM patients showed decreased the cortical surface thickness in the left middle occipital gyrus (MOG), left inferior parietal lobule (IPL), right inferior temporal gyrus (ITG), right precuneus, right primary visual area 1 (V1), right superior temporal gyrus (STG), right superior parietal lobule (SPL), right occipital pole, and right the primary motor cortex (M1), and increased to the parietal operculum (OP4) (P < 0.01, FWE-corrected), the mean cortical thickness of right orbitofrontal cortex (OFC), right dorsolateral prefrontal cortex (DLPFC) and right subcallosal cortex showed negatively correlation between clinical variables (axis length (ALM), the average macular thickness (AMT), keratometer (KER) 1, KER2, the mean KER, the mean macular fovea thickness (MFK), the refractive diopter) in HM patients. Our result mainly provided an evidence of cortical thickness reduction and disconnection in visual center and visual processing area, and cortical thickness increase in left multimodal integration region in HM patients. This may provide important significance of the study of the neural mechanism of HM.
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Affiliation(s)
- Ya-Jun Wu
- Department of Ophthalmology, The First Affiliated Hospital of Nanchang University, Nanchang, 330006, Jiangxi, China
| | - Na Wu
- Department of Ophthalmology, The First Affiliated Hospital of Nanchang University, Nanchang, 330006, Jiangxi, China
| | - Xin Huang
- Department of Ophthalmology, The First Affiliated Hospital of Nanchang University, Nanchang, 330006, Jiangxi, China
| | - Jie Rao
- Department of Ophthalmology, The First Affiliated Hospital of Nanchang University, Nanchang, 330006, Jiangxi, China
| | - Li Yan
- Department of Ophthalmology, The First Affiliated Hospital of Nanchang University, Nanchang, 330006, Jiangxi, China
| | - Ling Shi
- Department of Ophthalmology, The First Affiliated Hospital of Nanchang University, Nanchang, 330006, Jiangxi, China
| | - Hui Huang
- Department of Ophthalmology, The First Affiliated Hospital of Nanchang University, Nanchang, 330006, Jiangxi, China
| | - Si-Yu Li
- Department of Ophthalmology, The First Affiliated Hospital of Nanchang University, Nanchang, 330006, Jiangxi, China
| | - Fu-Qing Zhou
- Department of Radiology, The First Affiliated Hospital of Nanchang University, Nanchang, 330006, Jiangxi, China.
| | - Xiao-Rong Wu
- Department of Ophthalmology, The First Affiliated Hospital of Nanchang University, Nanchang, 330006, Jiangxi, China.
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13
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Liu P, Li G, Zhang A, Yang C, Liu Z, Sun N, Kerang Z. Brain structural and functional alterations in MDD patient with gastrointestinal symptoms: A resting-state MRI study. J Affect Disord 2020; 273:95-105. [PMID: 32421626 DOI: 10.1016/j.jad.2020.03.107] [Citation(s) in RCA: 16] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/18/2019] [Revised: 01/30/2020] [Accepted: 03/28/2020] [Indexed: 12/17/2022]
Abstract
OBJECTIVE It is common for major depressive disorder (MDD) to be accompanied by gastrointestinal (GI) symptoms, which are known to negatively impact the course and severity of the disease. Although previous studies have attempted to explore the neuropathology of MDD, few studies have focused on the pathogenesis of GI symptoms in MDD. In this study, we investigated the changes in regional gray matter volume (GMV) and regional homogeneity (ReHo) present in MDD accompanied by GI symptoms. METHOD The following images were obtained and analyzed: Structural and functional magnetic resonance images (MRI) of 36 patients with MDD accompanied by GI symptoms (GI symptoms group), 22 patients without GI symptoms (Non-GI symptoms group), and 27 healthy controls (HC. The 24-item Hamilton Depression Rating Scale (HAMD) was administered. A correlation analysis was used to identify the possible associations between altered regional GMV, ReHo symptoms, GI symptoms, and depressive symptoms. RESULTS The total scores from the HAMD-24 in the GI symptoms group were significantly higher than in the Non-GI symptoms group (P<0.05). Significant differences in both GMV and ReHo were observed among the three groups for the right parahippocampal gyrus, left precentral gyrus, left middle frontal gyrus, right superior frontal gyrus, right middle frontal gyrus, and left inferior orbitofrontal gyrus (AlphaSim correction, P <0.001). The GI symptoms group exhibited significantly decreased GMV and ReHo in the left middle frontal gyrus, precentral gyrus, right superior frontal gyrus, and middle frontal gyrus. Additionally, the GI symptoms group exhibited increased ReHo in the left superior temporal gyrus at a higher level than the non-GI symptoms group. (AlphaSim correction, P <0.001). These altered brain areas were correlated with GI symptoms (P<0.001) but not depressive symptoms (P>0.05). CONCLUSION Patients with MDD accompanied by GI symptoms have more severe depressive symptoms. The structural and functional changes of the brain may be the pathogenesis for the GI symptoms in patients with MDD.
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Affiliation(s)
- Penghong Liu
- Department of Psychiatry, First Hospital of Shanxi Medical University, Taiyuan, PR China, 030001; Shanxi Medical University, Taiyuan, PR China, 030001.
| | - Gaizhi Li
- Department of Psychiatry, First Hospital of Shanxi Medical University, Taiyuan, PR China, 030001.
| | - Aixia Zhang
- Department of Psychiatry, First Hospital of Shanxi Medical University, Taiyuan, PR China, 030001.
| | - Chunxia Yang
- Department of Psychiatry, First Hospital of Shanxi Medical University, Taiyuan, PR China, 030001.
| | - Zhifen Liu
- Department of Psychiatry, First Hospital of Shanxi Medical University, Taiyuan, PR China, 030001
| | - Ning Sun
- Department of Psychiatry, First Hospital of Shanxi Medical University, Taiyuan, PR China, 030001.
| | - Zhang Kerang
- Department of Psychiatry, First Hospital of Shanxi Medical University, Taiyuan, PR China, 030001.
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14
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Pirwani AF, Fang Z, Li B, Smith A, Northoff G, Ismail N. The effects of gastrointestinal symptoms on structural grey matter volume in youth. Int J Dev Neurosci 2020; 80:477-488. [PMID: 32479685 DOI: 10.1002/jdn.10044] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/20/2020] [Revised: 05/22/2020] [Accepted: 05/25/2020] [Indexed: 12/17/2022] Open
Abstract
Previous neuroimaging studies have examined the association between changes in brain structure and gastrointestinal symptoms (GIS), seen in disorders such as Irritable Bowel Syndrome and Irritable Bowel Disease. Studies in adults have found changes in white and grey matter volume (GMV) in patients with various gastrointestinal disorders. However, it is unclear whether GIS-related structural changes in the brain are limited to adults or could be present throughout the lifespan. Given that gastrointestinal disorders are typically diagnosed between 4 and 18 years old, we investigated GIS-induced morphological changes in pre-adolescents (8-10), adolescents (12-16 years) and young adults (17-21 years). Using a voxel-based morphometry (VBM) analysis, we compared regional grey matter volume (GMV) between participants with GIS and controls, using structural brain images from the Philadelphia Neurodevelopmental Cohort (PNC) database. A total of 211 participants (107 participants with GISs and 104 control participants) who had undergone structural magnetic resonance imaging were analysed. VBM analysis was used to objectively analyse GMV across the whole brain and compare between participants with GIS and controls. Participants experiencing GIS showed smaller GMV in regions within the limbic system/basal ganglia (bilateral caudate, bilateral ventral hippocampus, bilateral amygdala and bilateral superior orbital frontal cortex), and larger GMV in regions within the pain-matrix (thalamus, bilateral putamen, right mid-frontal gyrus) compared to controls. These differences were most prominent in the adolescent and young adult groups compared to pre-adolescents. In conclusion, the structural differences found in participants with GIS support the need for further research into the neurophysiological impact of these symptoms.
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Affiliation(s)
- Atiqa F Pirwani
- Neuroimmunology, Stress and Endocrinology (NISE) Lab, Faculty of Social Science, School of Psychology, University of Ottawa, Ottawa, ON, Canada
| | - Zhuo Fang
- University of Ottawa Brain and Mind Research Institute, Ottawa, ON, Canada.,Brain Imaging Group (BIG) Lab, Faculty of Social Science, School of Psychology, University of Ottawa, Ottawa, ON, Canada
| | - Bo Li
- Advanced Research Institute of Multidisciplinary Science, Beijing Institute of Technology, Beijing, China.,Beijing Key Laboratory for Separation and Analysis in Biomedicine and Pharmaceuticals, School of Life Science, Beijing Institute of Technology, Beijing, China
| | - Andra Smith
- Brain Imaging Group (BIG) Lab, Faculty of Social Science, School of Psychology, University of Ottawa, Ottawa, ON, Canada
| | - Georg Northoff
- University of Ottawa Brain and Mind Research Institute, Ottawa, ON, Canada.,Faculty of Medicine, University of Ottawa, Ottawa, ON, Canada
| | - Nafissa Ismail
- Neuroimmunology, Stress and Endocrinology (NISE) Lab, Faculty of Social Science, School of Psychology, University of Ottawa, Ottawa, ON, Canada.,University of Ottawa Brain and Mind Research Institute, Ottawa, ON, Canada
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