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Akkuş Eİ, Bayoğlu B, Kocabaşoğlu N, Yıldız JB, Cengiz M. Association of rs11081062 polymorphism of DLGAP1 gene and levels of SLC1A1 protein with obsessive-compulsive disorder. NUCLEOSIDES, NUCLEOTIDES & NUCLEIC ACIDS 2024:1-15. [PMID: 38593060 DOI: 10.1080/15257770.2024.2336213] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/25/2023] [Accepted: 03/24/2024] [Indexed: 04/11/2024]
Abstract
Glutamate is an important neurotransmitter known to be effective in obsessive-compulsive disorder (OCD). The aim of this study is to investigate the relationship between the DLGAP1 gene encoding the scaffold protein of ionotropic glutamate receptors and the SLC1A1 gene encoding the glutamate transporter protein with OCD. Study groups consisted of 95 patients with OCD and 100 healthy controls. The severity of OCD in the patient group was determined by using the Y-BOCS. Single nucleotide polymorphisms of rs11081062 (C/T) in DLGAP1 and rs587777696 (C/T) in SLC1A1 were analyzed by real-time PCR. Levels of SLC1A1 protein were determined by ELISA. A significant difference was found between genotype distributions of rs11081062 in DLGAP1 in study groups (p < 0.001). No significant association was found rs587777696 in SLC1A1 in OCD patients and controls. SLC1A1 protein levels were found to be lower in OCD patients compared to controls (p = 0.005). According to OCD risk estimates for genotypes distributions of rs11081062 in DLGAP1, having CT + TT genotypes was associated with the occurrence of sexual and religious obsessions and counting compulsions (p = 0.038, OR = 2.98; p = 0.033, OR = 3.43; p = 0.035, OR = 2.66, respectively). CT genotype in DLGAP1 rs11081062 polymorphism was found to increase the risk of OCD in the female gender (p = 0.042, OR = 3.01). This study suggests that rs11081062 in DLGAP1 may be associated with OCD and that SLC1A1 protein levels may be involved in the occurrence of OCD. We believe that our research can contribute to the understanding of the importance of glutamate in OCD.
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Affiliation(s)
- Efruz İrem Akkuş
- Cerrahpaşa Faculty of Medicine, Department of Medical Biology, Istanbul University-Cerrahpaşa, Istanbul, Türkiye
| | - Burcu Bayoğlu
- Cerrahpaşa Faculty of Medicine, Department of Medical Biology, Istanbul University-Cerrahpaşa, Istanbul, Türkiye
| | - Neşe Kocabaşoğlu
- Cerrahpaşa Faculty of Medicine, Department of Psychiatry, Istanbul University-Cerrahpaşa, Istanbul, Türkiye
| | - Jansed Berfin Yıldız
- Cerrahpaşa Faculty of Medicine, Department of Medical Biology, Istanbul University-Cerrahpaşa, Istanbul, Türkiye
| | - Müjgan Cengiz
- Cerrahpaşa Faculty of Medicine, Department of Medical Biology, Istanbul University-Cerrahpaşa, Istanbul, Türkiye
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Xu C, Hou G, He T, Ruan Z, Guo X, Chen J, Wei Z, Seger CA, Chen Q, Peng Z. Local structural and functional MRI markers of compulsive behaviors and obsessive-compulsive disorder diagnosis within striatum-based circuits. Psychol Med 2024; 54:710-720. [PMID: 37642202 DOI: 10.1017/s0033291723002386] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 08/31/2023]
Abstract
BACKGROUND Obsessive-compulsive disorder (OCD) is a classic disorder on the compulsivity spectrum, with diverse comorbidities. In the current study, we sought to understand OCD from a dimensional perspective by identifying multimodal neuroimaging patterns correlated with multiple phenotypic characteristics within the striatum-based circuits known to be affected by OCD. METHODS Neuroimaging measurements of local functional and structural features and clinical information were collected from 110 subjects, including 51 patients with OCD and 59 healthy control subjects. Linked independent component analysis (LICA) and correlation analysis were applied to identify associations between local neuroimaging patterns across modalities (including gray matter volume, white matter integrity, and spontaneous functional activity) and clinical factors. RESULTS LICA identified eight multimodal neuroimaging patterns related to phenotypic variations, including three related to symptoms and diagnosis. One imaging pattern (IC9) that included both the amplitude of low-frequency fluctuation measure of spontaneous functional activity and white matter integrity measures correlated negatively with OCD diagnosis and diagnostic scales. Two imaging patterns (IC10 and IC27) correlated with compulsion symptoms: IC10 included primarily anatomical measures and IC27 included primarily functional measures. In addition, we identified imaging patterns associated with age, gender, and emotional expression across subjects. CONCLUSIONS We established that data fusion techniques can identify local multimodal neuroimaging patterns associated with OCD phenotypes. The results inform our understanding of the neurobiological underpinnings of compulsive behaviors and OCD diagnosis.
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Affiliation(s)
- Chuanyong Xu
- Department of Child Psychiatry and Rehabilitation, Institute of Maternity and Child Medical Research, Affiliated Shenzhen Maternity & Child Healthcare Hospital, Southern Medical University, Shenzhen, China
| | - Gangqiang Hou
- Department of Radiology, Shenzhen Kangning Hospital, Shenzhen, China
| | - Tingxin He
- Key Laboratory of Brain, Cognition and Education Sciences, Ministry of Education, Guangzhou, China
- School of Psychology, Center for Studies of Psychological Application, and Guangdong Key Laboratory of Mental Health and Cognitive Science, South China Normal University, Guangzhou, China
| | - Zhongqiang Ruan
- Key Laboratory of Brain, Cognition and Education Sciences, Ministry of Education, Guangzhou, China
- School of Psychology, Center for Studies of Psychological Application, and Guangdong Key Laboratory of Mental Health and Cognitive Science, South China Normal University, Guangzhou, China
| | - Xinrong Guo
- Department of Child Psychiatry and Rehabilitation, Institute of Maternity and Child Medical Research, Affiliated Shenzhen Maternity & Child Healthcare Hospital, Southern Medical University, Shenzhen, China
| | - Jierong Chen
- Department of Child Psychiatry and Rehabilitation, Institute of Maternity and Child Medical Research, Affiliated Shenzhen Maternity & Child Healthcare Hospital, Southern Medical University, Shenzhen, China
| | - Zhen Wei
- Department of Child Psychiatry and Rehabilitation, Institute of Maternity and Child Medical Research, Affiliated Shenzhen Maternity & Child Healthcare Hospital, Southern Medical University, Shenzhen, China
| | - Carol A Seger
- Key Laboratory of Brain, Cognition and Education Sciences, Ministry of Education, Guangzhou, China
- School of Psychology, Center for Studies of Psychological Application, and Guangdong Key Laboratory of Mental Health and Cognitive Science, South China Normal University, Guangzhou, China
- Department of Psychology, Colorado State University, Fort Collins, Colorado, USA
| | - Qi Chen
- School of Psychology, Shenzhen University, Shenzhen, China
| | - Ziwen Peng
- Key Laboratory of Brain, Cognition and Education Sciences, Ministry of Education, Guangzhou, China
- School of Psychology, Center for Studies of Psychological Application, and Guangdong Key Laboratory of Mental Health and Cognitive Science, South China Normal University, Guangzhou, China
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Zhong Z, Ou Y, Chen Y, Li P, Shi H, Lv D, Jia C, Shang T, Sun L, Yang R, Wang X, Guo W, Lv L. Reduced functional connectivity of the right dorsolateral prefrontal cortex at rest in obsessive-compulsive disorder. Brain Behav 2024; 14:e3333. [PMID: 38376021 PMCID: PMC10784187 DOI: 10.1002/brb3.3333] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/19/2023] [Revised: 11/04/2023] [Accepted: 11/06/2023] [Indexed: 02/21/2024] Open
Abstract
BACKGROUND Neuroimaging studies have revealed the role of the right dorsolateral prefrontal cortex (DLPFC) in the neurobiological mechanism of obsessive-compulsive disorder (OCD). However, only a few studies have examined the functional connectivity (FC) pattern of the right DLPFC at rest in OCD. OBJECTIVE The aim of this research is to examine the FC patterns of the right DLPFC at rest in OCD. METHODS Twenty-eight medication-free patients with OCD and 20 healthy controls underwent resting-state functional magnetic resonance imaging. Seed-based FC and support vector machine (SVM) were used to analyze the imaging data. RESULTS The patients with OCD showed reduced FC values in the right middle temporal gyrus (MTG), right superior temporal gyrus, right ventral anterior cingulate cortex (vACC), and left Crus II. No brain regions showed a remarkable difference in FC values in patients with OCD after 8 weeks of medication treatment. The reduced right DLPFC-right MTG and right DLPFC-right vACC connectivities were correlated with the clinical symptoms of OCD. SVM results showed that reduced right DLPFC-right MTG connectivity at rest could predict the therapeutic response to OCD medication. CONCLUSIONS The findings highlight the important role of the right DLPFC in the pathophysiological mechanism of OCD.
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Affiliation(s)
- Zhaoxi Zhong
- Henan Key Laboratory of Biological PsychiatryThe Second Affiliated Hospital of Xinxiang Medical UniversityXinxiangHenanChina
| | - Yangpan Ou
- National Clinical Research Center for Mental Disordersand Department of PsychiatryThe Second Xiangya Hospital of Central South UniversityChangshaHunanChina
| | - Yunhui Chen
- Department of PsychiatryQiqihar Medical UniversityQiqiharHeilongjiangChina
| | - Ping Li
- Department of PsychiatryQiqihar Medical UniversityQiqiharHeilongjiangChina
| | - Han Shi
- Henan Key Laboratory of Biological PsychiatryThe Second Affiliated Hospital of Xinxiang Medical UniversityXinxiangHenanChina
| | - Dan Lv
- Department of PsychiatryQiqihar Medical UniversityQiqiharHeilongjiangChina
| | - Cuicui Jia
- Department of PsychiatryQiqihar Medical UniversityQiqiharHeilongjiangChina
| | - Tinghuizi Shang
- Department of PsychiatryQiqihar Medical UniversityQiqiharHeilongjiangChina
| | - Lei Sun
- Department of PsychiatryQiqihar Medical UniversityQiqiharHeilongjiangChina
| | - Ru Yang
- Department of RadiologyThe Second Xiangya Hospital of Central South UniversityChangshaHunanChina
| | - Xiaoping Wang
- National Clinical Research Center for Mental Disordersand Department of PsychiatryThe Second Xiangya Hospital of Central South UniversityChangshaHunanChina
| | - Wenbin Guo
- National Clinical Research Center for Mental Disordersand Department of PsychiatryThe Second Xiangya Hospital of Central South UniversityChangshaHunanChina
| | - Luxian Lv
- Henan Key Laboratory of Biological PsychiatryThe Second Affiliated Hospital of Xinxiang Medical UniversityXinxiangHenanChina
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Yuan X, Zhu Y, Xiao L, Chuan Liu Z, Zou J, Hu Z, Wu Y, Li P, Hu M, Zhou F. Regional homogeneity in patients with obsessive-compulsive disorder and depression: A resting state functional magnetic resonance imaging study. Neurosci Lett 2023; 817:137528. [PMID: 37865188 DOI: 10.1016/j.neulet.2023.137528] [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: 05/29/2023] [Revised: 09/20/2023] [Accepted: 10/16/2023] [Indexed: 10/23/2023]
Abstract
OBJECTIVE To explore the brain functional impairment of patients with obsessive-compulsive disorder (OCD) with and without depressive symptoms and analyze the correlation between the degree of impairment and the severity of symptoms. METHOD Fourteen patients with OCD who met the ICD-10 diagnostic criteria for OCD were included. The group having OCD with depression (OCDd) consisted of 15 patients, and 17 healthy controls (HC) matched for age and education were also included. The Yale-Brown OCD Scale (Y-BOCS) and the 24-item Hamilton Assessment of Depression Scale (HAMD) were administered to the OCD and OCDd groups. Resting-state functional brain magnetic resonance imaging was performed in the three groups of participants. RESULT The OCDd group had lower scores on the HAMD, Y-BOCS, and obsessive-compulsive thinking subscales compared with the OCD group (P < 0.05). The scores on the OCDd subscale were negatively correlated with the HAMD scores (R = - 0.568, P = 0.027). The OCDd group had higher regional homogeneity (ReHo) values in the lingual gyrus than the OCD group. The OCDd group had higher ReHo values in the lingual gyrus than the HC group, and the OCDd group had higher ReHo values than the HC group. These differences were statistically significant (P < 0.05). After correction for multiple comparisons, significant difference was observed between the OCDd and HC groups (P<0.05). In the OCD group, the ReHo value of the lingual gyrus was negatively correlated with the Y-BOCS total score and the compulsive behavior subscale score (R = - 0.609, -0.552; P = 0.016, 0.033). CONCLUSION Abnormal ReHo values in the lingual gyrus and right medial superior frontal gyrus were found in the patients with OCDd. In the OCDd group, the ReHo values of the lingual gyrus were negatively correlated with the scores on the Y-BOCS total and obsessive-compulsive subscales, suggesting that abnormal local coherence of the lingual gyrus may be related to the severity of OCD.
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Affiliation(s)
- Xin Yuan
- Department of Psychosomatic Medicine, The First Affiliated Hospital of Nanchang University, Nanchang, Jiangxi Province 330006, China
| | - Yanyan Zhu
- Department of Radiology, The First Affiliated Hospital of Nanchang University, Neuroradiology Lab, Jiangxi Province Medical Imaging Research Institute, Nanchang, Jiangxi Province 330006, China
| | - Li Xiao
- Department of Infection, The First Affiliated Hospital of Nanchang University, Nanchang, Jiangxi Province 330006, China
| | - Zi Chuan Liu
- Gao 'an People's Hospital, Yichun, Jiangxi Province, 330800, China
| | - Jingzhi Zou
- Department of Psychosomatic Medicine, The First Affiliated Hospital of Nanchang University, Nanchang, Jiangxi Province 330006, China
| | - Zhizhong Hu
- Mental Health Education Center, Nanchang University, Nanchang, Jiangxi Province 330036, China
| | - Yunhong Wu
- Department of Psychosomatic Medicine, The First Affiliated Hospital of Nanchang University, Nanchang, Jiangxi Province 330006, China
| | - Pan Li
- School of Public Policy and Administration, Nanchang University, Nanchang, Jiangxi Province, 330036, China
| | - Maorong Hu
- Department of Psychosomatic Medicine, The First Affiliated Hospital of Nanchang University, Nanchang, Jiangxi Province 330006, China.
| | - Fuqing Zhou
- Department of Radiology, The First Affiliated Hospital of Nanchang University, Neuroradiology Lab, Jiangxi Province Medical Imaging Research Institute, Nanchang, Jiangxi Province 330006, China.
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Xu Y, Guo H, Zheng R, Wei Y, Wen B, Fang K, Zhang Y, Cheng J, Han S. Decreased intrinsic neural timescales in obsessive compulsive disorder and two distinct subtypes revealed by heterogeneity through discriminative analysis. J Affect Disord 2023; 340:667-674. [PMID: 37543114 DOI: 10.1016/j.jad.2023.07.112] [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: 04/12/2023] [Revised: 07/17/2023] [Accepted: 07/27/2023] [Indexed: 08/07/2023]
Abstract
BACKGROUND OCD is featured as the destruction of information storage and processing. The cognition of neurobiological and clinical heterogeneity is in suspense and poorly studied. METHODS Ninety-nine patients and matched HCs(n = 104) were recruited and underwent resting-state functional MRI scans. We applied INT to evaluate altered local neural dynamics representing the ability of information integration. Moreover, considering OCD was a highly heterogeneous disorder, we investigated putative OCD subtypes from INT using a novel semi-supervised machine learning, named HYDRA. RESULTS Compared with HCs, patients with OCD showed decreased INTs in extensive brain regions, including bilateral cerebellum and precuneus, STG/MTG and PCC, hippocampus in DMN; right IFG/MFG/SFG, SPL and bilateral angular gyrus in CEN and insula, SMA in SN. Moreover, many other regions involved in visual processing also had disrupted dynamics of local neural organization, consisting of bilateral CUN, LING and fusiform gyrus and occipital lobe. HYDRA divided patients into two distinct neuroanatomical subtypes from INT. Subtype 1 showed decreased INTs in distributed networks, while subtype 2 presented increased in several common regions which were also found to be decreased in subtype 1, such as STG, IPL, postcentral gyrus and left insula, supramarginal gyrus. CONCLUSION This study showed distinct abnormalities from the perspective of dynamics of local neural organization in OCD. Such alteration and dimensional approach may provide a new insight into the prior traditional cognition of this disorder and to some extent do favor of more precise diagnosis and treatment response in the future.
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Affiliation(s)
- Yinhuan Xu
- Department of MRI, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Huirong Guo
- Department of Psychiatry, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Ruiping Zheng
- Department of MRI, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Yarui Wei
- Department of MRI, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Baohong Wen
- Department of MRI, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Keke Fang
- Clinical Research Center, Affiliated Cancer Hospital of Zhengzhou University, Zhengzhou, China
| | - Yan Zhang
- Department of MRI, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
| | - Jingliang Cheng
- Department of MRI, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
| | - Shaoqiang Han
- Department of MRI, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
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6
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Li H, Wang Y, Xi H, Zhang J, Zhao M, Jia X. Alterations of regional spontaneous brain activity in obsessive-compulsive disorders: A meta-analysis. J Psychiatr Res 2023; 165:325-335. [PMID: 37573797 DOI: 10.1016/j.jpsychires.2023.07.036] [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: 12/09/2022] [Revised: 07/04/2023] [Accepted: 07/26/2023] [Indexed: 08/15/2023]
Abstract
BACKGROUND Recent studies using resting-state functional magnetic resonance imaging (rs-fMRI) demonstrate that there is aberrant regional spontaneous brain activity in obsessive-compulsive disorders (OCD). Nevertheless, the results of previous studies are contradictory, especially in the abnormal brain regions and the directions of their activities. It is necessary to perform a meta-analysis to identify the common pattern of altered regional spontaneous brain activity in patients with OCD. METHODS The present study conducted a systematic search for studies in English published up to May 2023 in PubMed, Web of Science, and Embase. These studies measured differences in regional spontaneous brain activity at the whole brain level using regional homogeneity (ReHo), the amplitude of low-frequency fluctuations (ALFF) and the fractional amplitude of low-frequency fluctuations (fALFF). Then the Anisotropic effect-size version of seed-based d mapping (AES-SDM) was used to investigate the consistent abnormality of regional spontaneous brain activity in patients with OCD. RESULTS 27 studies (33 datasets) were included with 1256 OCD patients (650 males, 606 females) and 1176 healthy controls (HCs) (588 males, 588 females). Compared to HCs, patients with OCD showed increased spontaneous brain activity in the right inferior parietal gyrus (Brodmann Area 39), left median cingulate and paracingulate gyri (Brodmann Area 24), bilateral inferior cerebellum, right middle frontal gyrus (Brodmann Area 46), left inferior frontal gyrus in triangular part (Brodmann Area 45) and left middle frontal gyrus in orbital part (Brodmann Area 11). Meanwhile, decreased spontaneous brain activity was identified in the right precentral gyrus (Brodmann Area 4), right insula (Brodmann Area 48), left postcentral gyrus (Brodmann Area 43), bilateral superior cerebellum and left caudate (Brodmann Area 25). CONCLUSIONS This meta-analysis provided a quantitative review of spontaneous brain activity in OCD. The results demonstrated that the brain regions in the frontal lobe, sensorimotor cortex, cerebellum, caudate and insula are crucially involved in the pathophysiology of OCD. This research contributes to the understanding of the pathophysiologic mechanism underlying OCD and could provide a new perspective on future diagnosis and treatment of OCD.
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Affiliation(s)
- Huayun Li
- School of Psychology, Zhejiang Normal University, Jinhua, China; Key Laboratory of Intelligent Education Technology and Application of Zhejiang Province, Zhejiang Normal University, Jinhua, China; Intelligent Laboratory of Zhejiang Province in Mental Health and Crisis Intervention for Children and Adolescents, Jinhua, China.
| | - Yihe Wang
- School of Psychology, Zhejiang Normal University, Jinhua, China; Key Laboratory of Intelligent Education Technology and Application of Zhejiang Province, Zhejiang Normal University, Jinhua, China; Intelligent Laboratory of Zhejiang Province in Mental Health and Crisis Intervention for Children and Adolescents, Jinhua, China
| | - Hongyu Xi
- School of Western Language, Heilongjiang University, Harbin, China
| | - Jianxin Zhang
- School of Foreign Studies, China University of Petroleum (East China), Qingdao, China
| | - Mengqi Zhao
- School of Psychology, Zhejiang Normal University, Jinhua, China; Key Laboratory of Intelligent Education Technology and Application of Zhejiang Province, Zhejiang Normal University, Jinhua, China
| | - Xize Jia
- School of Psychology, Zhejiang Normal University, Jinhua, China; Key Laboratory of Intelligent Education Technology and Application of Zhejiang Province, Zhejiang Normal University, Jinhua, China.
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7
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Ding Z, Ding Z, Chen Y, Lv D, Li T, Shang T, Ma J, Zhan C, Yang X, Xiao J, Sun Z, Wang N, Guo W, Li C, Yu Z, Li P. Decreased gray matter volume and dynamic functional alterations in medicine-free obsessive-compulsive disorder. BMC Psychiatry 2023; 23:289. [PMID: 37098479 PMCID: PMC10131325 DOI: 10.1186/s12888-023-04740-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/25/2022] [Accepted: 03/31/2023] [Indexed: 04/27/2023] Open
Abstract
BACKGROUND Previous studies discovered the presence of abnormal structures and functions in the brain regions of patients with obsessive-compulsive disorder (OCD). Nevertheless, whether structural changes in brain regions are coupled with alterations in dynamic functional connectivity (dFC) at rest in medicine-free patients with OCD remains vague. METHODS Three-dimensional T1-weighed magnetic resonance imaging (MRI) and resting-state functional MRI were performed on 50 medicine-free OCD and 50 healthy controls (HCs). Firstly, the differences in gray matter volume (GMV) between OCD and HCs were compared. Then, brain regions with aberrant GMV were used as seeds for dFC analysis. The relationship of altered GMV and dFC with clinical parameters in OCD was explored using partial correlation analysis. Finally, support vector machine was applied to examine whether altered multimodal imaging data might be adopted to distinguish OCD from HCs. RESULTS Our findings indicated that GMV in the left superior temporal gyrus (STG) and right supplementary motor area (SMA) was reduced in OCD, and the dFC between the left STG and the left cerebellum Crus I and left thalamus, and between the right SMA and right dorsolateral prefrontal cortex (DLPFC) and left precuneus was decreased at rest in OCD. The brain regions both with altered GMV and dFC values could discriminate OCD from HCs with the accuracy of 0.85, sensitivity of 0.90 and specificity of 0.80. CONCLUSION The decreased gray matter structure coupling with dynamic function in the left STG and right SMA at rest may be crucial in the pathophysiology of OCD. TRIAL REGISTRATION Study on the mechanism of brain network in obsessive-compulsive disorder with multi-model magnetic resonance imaging (registration date: 08/11/2017; registration number: ChiCTR-COC-17,013,301).
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Affiliation(s)
- Zhenning Ding
- Medical Technology Department, Qiqihar Medical University, Qiqihar, Heilongjiang, 161006, China
| | - Zhipeng Ding
- Medical Technology Department, Qiqihar Medical University, Qiqihar, Heilongjiang, 161006, China
| | - Yunhui Chen
- Department of Psychiatry, Qiqihar Medical University, Qiqihar, Heilongjiang, 161006, China
| | - Dan Lv
- Department of Psychiatry, Qiqihar Medical University, Qiqihar, Heilongjiang, 161006, China
| | - Tong Li
- Department of Psychiatry, Qiqihar Medical University, Qiqihar, Heilongjiang, 161006, China
| | - Tinghuizi Shang
- Department of Psychiatry, Qiqihar Medical University, Qiqihar, Heilongjiang, 161006, China
| | - Jidong Ma
- Department of Psychiatry, Baiyupao Psychiatric Hospital of Harbin, Harbin, Heilongjiang, 150050, China
| | - Chuang Zhan
- Department of Psychiatry, Baiyupao Psychiatric Hospital of Harbin, Harbin, Heilongjiang, 150050, China
| | - Xu Yang
- Medical Technology Department, Qiqihar Medical University, Qiqihar, Heilongjiang, 161006, China
| | - Jian Xiao
- Department of Psychiatry, Qiqihar Medical University, Qiqihar, Heilongjiang, 161006, China
| | - Zhenghai Sun
- Department of Psychiatry, Qiqihar Medical University, Qiqihar, Heilongjiang, 161006, China
| | - Na Wang
- Department of Psychiatry, Qiqihar Medical University, Qiqihar, Heilongjiang, 161006, China
| | - Wenbin Guo
- Department of Psychiatry, and National Clinical Research Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha, Hunan, 410011, China
| | - Chengchong Li
- Department of Psychiatry, Qiqihar Medical University, Qiqihar, Heilongjiang, 161006, China.
| | - Zengyan Yu
- Department of Psychiatry, Qiqihar Medical University, Qiqihar, Heilongjiang, 161006, China.
| | - Ping Li
- Department of Psychiatry, Qiqihar Medical University, Qiqihar, Heilongjiang, 161006, China.
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8
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Yan H, Shan X, Li H, Liu F, Guo W. Abnormal spontaneous neural activity in hippocampal-cortical system of patients with obsessive-compulsive disorder and its potential for diagnosis and prediction of early treatment response. Front Cell Neurosci 2022; 16:906534. [PMID: 35910254 PMCID: PMC9334680 DOI: 10.3389/fncel.2022.906534] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/28/2022] [Accepted: 06/30/2022] [Indexed: 11/25/2022] Open
Abstract
Early brain functional changes induced by pharmacotherapy in patients with obsessive-compulsive disorder (OCD) in relation to drugs per se or because of the impact of such drugs on the improvement of OCD remain unclear. Moreover, no neuroimaging biomarkers are available for diagnosis of OCD and prediction of early treatment response. We performed a longitudinal study involving 34 patients with OCD and 36 healthy controls (HCs). Patients with OCD received 5-week treatment with paroxetine (40 mg/d). Resting-state functional magnetic resonance imaging (fMRI), regional homogeneity (ReHo), support vector machine (SVM), and support vector regression (SVR) were applied to acquire and analyze the imaging data. Compared with HCs, patients with OCD had higher ReHo values in the right superior temporal gyrus and bilateral hippocampus/parahippocampus/fusiform gyrus/cerebellum at baseline. ReHo values in the left hippocampus and parahippocampus decreased significantly after treatment. The reduction rate (RR) of ReHo values was positively correlated with the RRs of the scores of Yale-Brown Obsessive-Compulsive Scale (Y-BOCS) and obsession. Abnormal ReHo values at baseline could serve as potential neuroimaging biomarkers for OCD diagnosis and prediction of early therapeutic response. This study highlighted the important role of the hippocampal-cortical system in the neuropsychological mechanism underlying OCD, pharmacological mechanism underlying OCD treatment, and the possibility of building models for diagnosis and prediction of early treatment response based on spontaneous activity in the hippocampal-cortical system.
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Affiliation(s)
- Haohao Yan
- Department of Psychiatry, National Clinical Research Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha, China
| | - Xiaoxiao Shan
- 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
| | - 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
- Department of Psychiatry, Qiqihar Medical University, Qiqihar, China
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9
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Ma Y, Zhao Q, Xu T, Wang P, Gu Q, Wang Z. Resting state functional brain imaging in obsessive-compulsive disorder across genders. World J Biol Psychiatry 2022; 23:191-200. [PMID: 34474645 DOI: 10.1080/15622975.2021.1938669] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/20/2022]
Abstract
OBJECTIVES Epidemiological and clinical gender differences in obsessive-compulsive disorder (OCD) have been reported; however, gender differences in brain functional connectivity and the relationship between resting brain functional imaging and clinical symptoms has not been studied in OCD. METHODS A total of 62 drug-naive patients with OCD (31 males, 31 females) and 60 healthy controls (HCs) (30 males, 30 females) matched for age, sex, and education underwent magnetic resonance imaging. Amplitude of low-frequency fluctuations (ALFF) over the whole brain and seed-based connectivity analyses were evaluated to examine the intrinsic cerebral activity of the subjects. Additionally, associations between functional connectivity and clinical features were analysed. RESULTS Compared to male OCD (mOCD) patients, female OCD (fOCD) patients showed higher ALFF values in the right parahippocampal gyrus. Compared to HCs, fOCD patients showed significantly decreased functional connectivity between the right parahippocampal gyrus and whole brain to the right posterior central gyrus/precentral gyrus/superior temporal gyrus/barycentric lobule and left anterior cuneus. Abnormal functional connectivity was negatively correlated with the Yale-Brown Obsessive-Compulsive Scale, Beck Depression Inventory-II, and Beck Anxiety Inventory total scores. CONCLUSIONS Our results suggest that the right parahippocampal gyrus, which is related to executive control and emotional regulation, may show gender differences in OCD.
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Affiliation(s)
- Yinzhu Ma
- Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, PR China
| | - Qing Zhao
- Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, PR China
| | - Tingting Xu
- Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, PR China
| | - Pei Wang
- Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, PR China
| | - Qiumeng Gu
- Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, PR China
| | - Zhen Wang
- Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, PR China
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10
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Luo Q, Liu W, Jin L, Chang C, Peng Z. Classification of Obsessive-Compulsive Disorder Using Distance Correlation on Resting-State Functional MRI Images. Front Neuroinform 2021; 15:676491. [PMID: 34744676 PMCID: PMC8564498 DOI: 10.3389/fninf.2021.676491] [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: 03/05/2021] [Accepted: 09/13/2021] [Indexed: 11/13/2022] Open
Abstract
Both the Pearson correlation and partial correlation methods have been widely used in the resting-state functional MRI (rs-fMRI) studies. However, they can only measure linear relationship, although partial correlation excludes some indirect effects. Recent distance correlation can discover both the linear and non-linear dependencies. Our goal was to use the multivariate pattern analysis to compare the ability of such three correlation methods to distinguish between the patients with obsessive-compulsive disorder (OCD) and healthy control subjects (HCSs), so as to find optimal correlation method. The main process includes four steps. First, the regions of interest are defined by automated anatomical labeling (AAL). Second, functional connectivity (FC) matrices are constructed by the three correlation methods. Third, the best discriminative features are selected by support vector machine recursive feature elimination (SVM-RFE) with a stratified N-fold cross-validation strategy. Finally, these discriminative features are used to train a classifier. We had a total of 128 subjects out of which 61 subjects had OCD and 67 subjects were normal. All the three correlation methods with SVM have achieved good results, among which distance correlation is the best [accuracy = 93.01%, specificity = 89.71%, sensitivity = 95.08%, and area under the receiver-operating characteristic curve (AUC) = 0.94], followed by Pearson correlation and partial correlation is the last. The most discriminative regions of the brain for distance correlation are right dorsolateral superior frontal gyrus, orbital part of left superior frontal gyrus, orbital part of right middle frontal gyrus, right anterior cingulate and paracingulate gyri, left the supplementary motor area, and right precuneus, which are the promising biomarkers of OCD.
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Affiliation(s)
- Qian Luo
- School of Biomedical Engineering, Health Science Center, Shenzhen University, Shenzhen, China.,Guangdong Key Laboratory for Biomedical Measurements and Ultrasound Imaging, Shenzhen University, Shenzhen, China.,National-Regional Key Technology Engineering Laboratory for Medical Ultrasound, Shenzhen University, Shenzhen, China
| | - Weixiang Liu
- School of Biomedical Engineering, Health Science Center, Shenzhen University, Shenzhen, China.,Guangdong Key Laboratory for Biomedical Measurements and Ultrasound Imaging, Shenzhen University, Shenzhen, China.,National-Regional Key Technology Engineering Laboratory for Medical Ultrasound, Shenzhen University, Shenzhen, China
| | - Lili Jin
- Guangdong Key Laboratory of Mental Health and Cognitive Science, South China Normal University, Guangzhou, China.,Center for Studies of Psychological Application, School of Psychology, South China Normal University, Guangzhou, China
| | - Chunqi Chang
- School of Biomedical Engineering, Health Science Center, Shenzhen University, Shenzhen, China.,Guangdong Key Laboratory for Biomedical Measurements and Ultrasound Imaging, Shenzhen University, Shenzhen, China.,National-Regional Key Technology Engineering Laboratory for Medical Ultrasound, Shenzhen University, Shenzhen, China.,Peng Cheng Laboratory, Shenzhen, China
| | - Ziwen Peng
- Center for Studies of Psychological Application, School of Psychology, South China Normal University, Guangzhou, China.,Department of Child Psychiatry, Shenzhen Kangning Hospital, Shenzhen University School of Medicine, Shenzhen, China
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11
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Qing X, Gu L, Li D. Abnormalities of Localized Connectivity in Obsessive-Compulsive Disorder: A Voxel-Wise Meta-Analysis. Front Hum Neurosci 2021; 15:739175. [PMID: 34602998 PMCID: PMC8481585 DOI: 10.3389/fnhum.2021.739175] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/10/2021] [Accepted: 08/26/2021] [Indexed: 01/20/2023] Open
Abstract
Background: A large amount of resting-state functional magnetic resonance imaging (rs-fMRI) studies have revealed abnormalities of regional homogeneity (ReHo, an index of localized intraregional connectivity) in the obsessive-compulsive disorder (OCD) in the past few decades, However, the findings of these ReHo studies have remained inconsistent. Hence, we performed a meta-analysis to investigate the concurrence across ReHo studies for clarifying the most consistent localized connectivity underpinning this disorder. Methods: A systematic review of online databases was conducted for whole-brain rs-fMRI studies comparing ReHo between OCD patients and healthy control subjects (HCS). Anisotropic effect size version of the seed-based d mapping, a voxel-wise meta-analytic approach, was adopted to explore regions of abnormal ReHo alterations in OCD patients relative to HCS. Additionally, meta-regression analyses were conducted to explore the potential effects of clinical features on the reported ReHo abnormalities. Results: Ten datasets comprising 359 OCD patients and 361 HCS were included. Compared with HCS, patients with OCD showed higher ReHo in the bilateral inferior frontal gyri and orbitofrontal cortex (OFC). Meanwhile, lower ReHo was identified in the supplementary motor area (SMA) and bilateral cerebellum in OCD patients. Meta-regression analysis demonstrated that the ReHo in the OFC was negatively correlated with illness duration in OCD patients. Conclusions: Our meta-analysis gave a quantitative overview of ReHo findings in OCD and demonstrated that the most consistent localized connectivity abnormalities in individuals with OCD are in the prefrontal cortex. Meanwhile, our findings provided evidence that the hypo-activation of SMA and cerebellum might be associated with the pathophysiology of OCD.
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Affiliation(s)
- Xiuli Qing
- Department of Obstetrics, Key Laboratory of Birth Defects and Related Diseases of Women and Children in Ministry of Education, West China Second University Hospital, Sichuan University, Chengdu, China
| | - Li Gu
- Department of Obstetrics, Key Laboratory of Birth Defects and Related Diseases of Women and Children in Ministry of Education, West China Second University Hospital, Sichuan University, Chengdu, China
| | - Dehua Li
- Nursing Department, West China Second University Hospital, Sichuan University, Chengdu, China
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12
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Wu P, Pang X, Liang X, Wei W, Li X, Zhao J, Zheng J. Correlation analysis between regional homogeneity and executive dysfunction in anti-N-methyl-D-aspartate receptor encephalitis patients. Eur J Neurol 2021; 29:277-285. [PMID: 34546615 DOI: 10.1111/ene.15119] [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: 06/20/2021] [Revised: 07/19/2021] [Accepted: 09/19/2021] [Indexed: 11/29/2022]
Abstract
BACKGROUND AND PURPOSE Anti-N-methyl-d-aspartate receptor (NMDAR) encephalitis is characterized by a range of cognitive impairments, especially in executive function. Our study aims to identify the abnormal regional homogeneity (ReHo) in anti-NMDAR encephalitis patients and its relationship with the executive function. METHODS Forty patients and 42 healthy volunteers undertook an Attention Network Test and a resting-state functional magnetic resonance imaging scan. ReHo analysis was performed to investigate the neuronal activity synchronization in all subjects. Based on ReHo analysis, a multivariate pattern analysis (MVPA) was carried out to identify the brain regions that differed the most between the two groups. RESULTS Compared to controls, the patients had higher executive control scores (p < 0.05). The patients presented reduced ReHo values in the bilateral posterior cerebellar lobe, anterior cerebellar lobe, midbrain, bilateral caudate nucleus, right superior frontal gyrus, right middle temporal gyrus, bilateral inferior parietal lobule and the left middle frontal gyrus. The ReHo values of the bilateral inferior parietal lobule in patients were found to be negatively associated with executive control scores. The classification of patients and controls using MVPA had an accuracy of 76.83%, a sensitivity of 82.50%, a specificity of 71.43% and the area under the curve was 0.83. CONCLUSIONS Our study provides evidence of abnormal cerebral function in anti-NMDAR encephalitis patients, which may contribute to unveiling the neuropathological mechanisms of anti-NMDAR encephalitis and their influences on executive dysfunction. The MVPA classifier, based on ReHo, is helpful in identifying anti-NMDAR encephalitis patients from healthy controls.
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Affiliation(s)
- Peirong Wu
- Department of Neurology, First Affiliated Hospital of Guangxi Medical University, Nanning, China
| | - Xiaomin Pang
- Department of Neurology, First Affiliated Hospital of Guangxi Medical University, Nanning, China
| | - Xiulin Liang
- Department of Neurology, First Affiliated Hospital of Guangxi Medical University, Nanning, China
| | - Wutong Wei
- Department of Neurology, First Affiliated Hospital of Guangxi Medical University, Nanning, China
| | - Xinrong Li
- Department of Neurology, First Affiliated Hospital of Guangxi Medical University, Nanning, China
| | - Jingyuan Zhao
- Department of Neurology, First Affiliated Hospital of Guangxi Medical University, Nanning, China
| | - Jinou Zheng
- Department of Neurology, First Affiliated Hospital of Guangxi Medical University, Nanning, China
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13
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Altered Functional Connectivity Strength at Rest in Medication-Free Obsessive-Compulsive Disorder. Neural Plast 2021; 2021:3741104. [PMID: 34539777 PMCID: PMC8443365 DOI: 10.1155/2021/3741104] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/10/2021] [Revised: 07/25/2021] [Accepted: 08/17/2021] [Indexed: 11/25/2022] Open
Abstract
Background Previous studies explored the whole-brain functional connectome using the degree approach in patients with obsessive-compulsive disorder (OCD). However, whether the altered degree values can be used to discriminate OCD from healthy controls (HCs) remains unclear. Methods A total of 40 medication-free patients with OCD and 38 HCs underwent a resting-state functional magnetic resonance imaging (rs-fMRI) scan. Data were analyzed with the degree approach and a support vector machine (SVM) classifier. Results Patients with OCD showed increased degree values in the left thalamus and left cerebellum Crus I and decreased degree values in the left dorsolateral prefrontal cortex, right precuneus, and left postcentral gyrus. SVM classification analysis indicated that the increased degree value in the left thalamus is a marker of OCD, with an acceptable accuracy of 88.46%, sensitivity of 87.50%, and specificity of 89.47%. Conclusion Altered degree values within and outside the cortical-striatal-thalamic-cortical (CSTC) circuit may cocontribute to the pathophysiology of OCD. Increased degree values of the left thalamus can be used as a future marker for OCD understanding-classification.
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14
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Luo L, Li Q, You W, Wang Y, Tang W, Li B, Yang Y, Sweeney JA, Li F, Gong Q. Altered brain functional network dynamics in obsessive-compulsive disorder. Hum Brain Mapp 2021; 42:2061-2076. [PMID: 33522660 PMCID: PMC8046074 DOI: 10.1002/hbm.25345] [Citation(s) in RCA: 30] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/15/2020] [Revised: 12/20/2020] [Accepted: 01/07/2021] [Indexed: 02/05/2023] Open
Abstract
Obsessive–compulsive disorder (OCD) is a debilitating and disabling neuropsychiatric disorder, whose neurobiological basis remains unclear. Although traditional static resting‐state magnetic resonance imaging (rfMRI) studies have found aberrant functional connectivity (FC) in OCD, alterations in whole‐brain FC and topological properties in the context of brain dynamics remain relatively unexplored. The rfMRI data of 29 patients with OCD and 40 healthy controls were analyzed using group independent component analysis to obtain independent components (ICs) and a sliding‐window approach to generate dynamic functional connectivity (dFC) matrices. dFC patterns were clustered into three reoccurring states, and state transition metrics were obtained. Then, graph‐theory methods were applied to dFC matrices to calculate the variability of network topological organization. The occurrence of a state (State 1) with the highest modularity index and lowest mean FC between networks was increased significantly in OCD, and the fractional time in brain State 1 was positively correlated with anxiety level in patients. State 1 was characterized by having positive connections within default mode (DMN) and salience networks (SAN), and negative coupling between the two networks. Additionally, ICs belonging to DMN and SAN showed lower temporal variability of nodal degree centrality and efficiency in patients, which was related to longer illness duration and higher current obsession ratings. Our results provide evidence of clinically relevant aberrant dynamic brain activity in OCD. Increased functional segregation among networks and impaired functional flexibility in connections among brain regions in DMN and SAN may play important roles in the neuropathology of OCD.
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Affiliation(s)
- Lekai Luo
- Huaxi MR Research Center (HMRRC), Department of Radiology, West China Hospital of Sichuan University, Chengdu, Sichuan, P.R. China.,Research Unit of Psychoradiology, Chinese Academy of Medical Sciences, Chengdu, Sichuan, P.R. China.,Functional and Molecular Imaging Key Laboratory of Sichuan Province, West China Hospital of Sichuan University, Chengdu, Sichuan, P.R. China
| | - Qian Li
- Huaxi MR Research Center (HMRRC), Department of Radiology, West China Hospital of Sichuan University, Chengdu, Sichuan, P.R. China.,Research Unit of Psychoradiology, Chinese Academy of Medical Sciences, Chengdu, Sichuan, P.R. China.,Functional and Molecular Imaging Key Laboratory of Sichuan Province, West China Hospital of Sichuan University, Chengdu, Sichuan, P.R. China
| | - Wanfang You
- Huaxi MR Research Center (HMRRC), Department of Radiology, West China Hospital of Sichuan University, Chengdu, Sichuan, P.R. China.,Research Unit of Psychoradiology, Chinese Academy of Medical Sciences, Chengdu, Sichuan, P.R. China.,Functional and Molecular Imaging Key Laboratory of Sichuan Province, West China Hospital of Sichuan University, Chengdu, Sichuan, P.R. China
| | - Yuxia Wang
- Huaxi MR Research Center (HMRRC), Department of Radiology, West China Hospital of Sichuan University, Chengdu, Sichuan, P.R. China.,Research Unit of Psychoradiology, Chinese Academy of Medical Sciences, Chengdu, Sichuan, P.R. China.,Functional and Molecular Imaging Key Laboratory of Sichuan Province, West China Hospital of Sichuan University, Chengdu, Sichuan, P.R. China
| | - Wanjie Tang
- Department of Psychiatry, West China Hospital of Sichuan University, Chengdu, Sichuan, P.R. China
| | - Bin Li
- Department of Psychiatry, West China Hospital of Sichuan University, Chengdu, Sichuan, P.R. China
| | - Yanchun Yang
- Department of Psychiatry, West China Hospital of Sichuan University, Chengdu, Sichuan, P.R. China
| | - John A Sweeney
- Huaxi MR Research Center (HMRRC), Department of Radiology, West China Hospital of Sichuan University, Chengdu, Sichuan, P.R. China.,Department of Psychiatry, University of Cincinnati, Cincinnati, Ohio, USA
| | - Fei Li
- Huaxi MR Research Center (HMRRC), Department of Radiology, West China Hospital of Sichuan University, Chengdu, Sichuan, P.R. China.,Research Unit of Psychoradiology, Chinese Academy of Medical Sciences, Chengdu, Sichuan, P.R. China.,Functional and Molecular Imaging Key Laboratory of Sichuan Province, West China Hospital of Sichuan University, Chengdu, Sichuan, P.R. China
| | - Qiyong Gong
- Huaxi MR Research Center (HMRRC), Department of Radiology, West China Hospital of Sichuan University, Chengdu, Sichuan, P.R. China.,Research Unit of Psychoradiology, Chinese Academy of Medical Sciences, Chengdu, Sichuan, P.R. China.,Functional and Molecular Imaging Key Laboratory of Sichuan Province, West China Hospital of Sichuan University, Chengdu, Sichuan, P.R. China
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15
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Yue J, Zhong S, Luo A, Lai S, He T, Luo Y, Wang Y, Zhang Y, Shen S, Huang H, Wen S, Jia Y. Correlations Between Working Memory Impairment and Neurometabolites of the Prefrontal Cortex in Drug-Naive Obsessive-Compulsive Disorder. Neuropsychiatr Dis Treat 2021; 17:2647-2657. [PMID: 34421300 PMCID: PMC8373305 DOI: 10.2147/ndt.s296488] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/09/2020] [Accepted: 07/12/2021] [Indexed: 01/06/2023] Open
Abstract
PURPOSE This study aimed to investigate the mechanism of working memory (WM) impairment in drug-naive obsessive-compulsive disorder (OCD) by using neuropsychological tests and proton magnetic resonance spectroscopy (1H-MRS). PATIENTS AND METHODS A total of 55 patients with drug-naive OCD and 55 healthy controls (HCs) were recruited for this study. The working memory (WM) was evaluated using the digit span test (DST), visual space memory test (VSMT), and the 2-back task and stroop color word test (SCWT). The bilateral metabolite levels of the prefrontal cortex (PFC) were evaluated by 1H-MRS, then determined the ratios of N-acetyl aspartate (NAA), choline-containing compounds (Cho), and myo-inositol (MI) to creatine (Cr). The independent sample t-test was used to analyse the differences in WM performance and neurometabolite ratios. Multivariate linear regression analysis was performed to screen the influential factors of WM, with an introduction level of 0.05 and a rejection level of 0.10. RESULTS 1) Patients with OCD performed significantly worse on DST (score), VSMT (score), 2-back task (accuracy rate), SCWT (execution time) when compared with HCs. 2) NAA/Cr and Cho/Cr in the left PFC (lPFC) and MI/Cr ratios in the bilateral PFC of OCD patients were significantly lower when compared to HCs. 3) For OCD patients, the NAA/Cr ratio in the lPFC was negatively correlated with the score of DST (forwards), the Cho/Cr ratio in the lPFC was positively correlated with the accuracy rate of 2-back task, and the MI/Cr ratio in the right PFC (rPFC) was positively correlated with the score of DST (forwards) and the accuracy rate of VSMT. We also found that the compulsive symptoms showed a positive correlation with MI/Cr ratio of the rPFC. CONCLUSION Drug-naive OCD patients have demonstrated WM impairments, including phonological loop, visual-spatial sketchpad and central executive system, and the WM impairments might be associated with hypometabolism in the PFC, especially the lPFC.
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Affiliation(s)
- Jihui Yue
- Department of Psychiatry, First Affiliated Hospital, Jinan University, Guangzhou, Guangdong Province, People's Republic of China.,Department of Psychiatry, The Fifth Affiliated Hospital of Sun Yat-sen University, Zhuhai, Guangdong Province, People's Republic of China
| | - Shuming Zhong
- Department of Psychiatry, First Affiliated Hospital, Jinan University, Guangzhou, Guangdong Province, People's Republic of China
| | - Aimin Luo
- Department of Psychology, Guangdong Sanjiu Brain Hospital, Guangzhou, Guangdong Province, People's Republic of China
| | - Shunkai Lai
- Department of Psychiatry, First Affiliated Hospital, Jinan University, Guangzhou, Guangdong Province, People's Republic of China
| | - Tingting He
- School of Management, Jinan University, Guangzhou, Guangdong Province, People's Republic of China
| | - Yuchong Luo
- Department of Psychiatry, The Fifth Affiliated Hospital of Sun Yat-sen University, Zhuhai, Guangdong Province, People's Republic of China
| | - Ying Wang
- Medical Imaging Center, First Affiliated Hospital, Jinan University, Guangzhou, Guangdong Province, People's Republic of China
| | - Yiliang Zhang
- Department of Psychiatry, First Affiliated Hospital, Jinan University, Guangzhou, Guangdong Province, People's Republic of China
| | - Shiyi Shen
- School of Management, Jinan University, Guangzhou, Guangdong Province, People's Republic of China
| | - Hui Huang
- School of Management, Jinan University, Guangzhou, Guangdong Province, People's Republic of China
| | - Shenglin Wen
- Department of Psychiatry, The Fifth Affiliated Hospital of Sun Yat-sen University, Zhuhai, Guangdong Province, People's Republic of China
| | - Yanbin Jia
- Department of Psychiatry, First Affiliated Hospital, Jinan University, Guangzhou, Guangdong Province, People's Republic of China
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16
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Zhu Y, Huang M, Zhao Y, Pei Y, Wang Y, Wang L, He T, Zhou F, Zeng X. Local functional connectivity of patients with acute and remitting multiple sclerosis: A Kendall's coefficient of concordance- and coherence-regional homogeneity study. Medicine (Baltimore) 2020; 99:e22860. [PMID: 33120824 PMCID: PMC7581181 DOI: 10.1097/md.0000000000022860] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/29/2020] [Revised: 09/15/2020] [Accepted: 09/24/2020] [Indexed: 02/03/2023] Open
Abstract
Using Kendall's coefficient of concordance (KCC-) and Coherence (Cohe-) regional homogeneity (ReHo) to explore the alterations of brain local functional connectivity in acute and remitting relapsing-remitting multiple sclerosis (RRMS), and its clinical relevance.18 acute RRMS, 26 remitting RRMS and 20 healthy controls received resting-state functional magnetic resonance imaging scanning. After data preprocessing and ReHo (KCC-ReHo and Cohe-ReHo) calculation, analysis of variance and followed post hoc analysis was used to compare the KCC-ReHo or Cohe ReHo maps across groups.After analysis of variance analysis, regions with significant among-group differences detected by the 2 ReHo analysis were overlapped, these overlapped regions located in the left superior frontal gyrus (SFG), right SFG, left cuneus and right middle occipital gyrus (P < .01, Gaussian random field theory correction). Followed post hoc tests showed that, compared with healthy controls,Both acute and remitting RRMS patients has disease-related brain dysfunction, interestingly, relative to remitting RRMS, the acute RRMS patients mobilized more brain regions involving visual information processing in an attempt to maintain functional stability. In addition, our results also provide a methodological consideration for future ReHo analysis.
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Affiliation(s)
- Yanyan Zhu
- Department of Radiology, The First Affiliated Hospital, Nanchang University
- Neuroimaging Lab, Jiangxi Province Medical Imaging Research Institute, Nanchang, Jiangxi, People's Republic of China
| | - Muhua Huang
- Department of Radiology, The First Affiliated Hospital, Nanchang University
- Neuroimaging Lab, Jiangxi Province Medical Imaging Research Institute, Nanchang, Jiangxi, People's Republic of China
| | - Yanlin Zhao
- Department of Radiology, The First Affiliated Hospital, Nanchang University
- Neuroimaging Lab, Jiangxi Province Medical Imaging Research Institute, Nanchang, Jiangxi, People's Republic of China
| | - Yixiu Pei
- Department of Radiology, The First Affiliated Hospital, Nanchang University
- Neuroimaging Lab, Jiangxi Province Medical Imaging Research Institute, Nanchang, Jiangxi, People's Republic of China
| | - Yao Wang
- Department of Radiology, The First Affiliated Hospital, Nanchang University
- Neuroimaging Lab, Jiangxi Province Medical Imaging Research Institute, Nanchang, Jiangxi, People's Republic of China
| | - Lei Wang
- Department of Radiology, The First Affiliated Hospital, Nanchang University
- Neuroimaging Lab, Jiangxi Province Medical Imaging Research Institute, Nanchang, Jiangxi, People's Republic of China
| | - Ting He
- Department of Radiology, The First Affiliated Hospital, Nanchang University
- Neuroimaging Lab, Jiangxi Province Medical Imaging Research Institute, Nanchang, Jiangxi, People's Republic of China
| | - Fuqing Zhou
- Department of Radiology, The First Affiliated Hospital, Nanchang University
- Neuroimaging Lab, Jiangxi Province Medical Imaging Research Institute, Nanchang, Jiangxi, People's Republic of China
| | - Xianjun Zeng
- Department of Radiology, The First Affiliated Hospital, Nanchang University
- Neuroimaging Lab, Jiangxi Province Medical Imaging Research Institute, Nanchang, Jiangxi, People's Republic of China
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17
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Cheng B, Qi X, Liang C, Zhang L, Ma M, Li P, Liu L, Cheng S, Yao Y, Chu X, Ye J, Wen Y, Jia Y, Zhang F. Integrative Genomic Enrichment Analysis Identified the Brain Regions and Development Stages Related to Anorexia Nervosa and Obsessive-Compulsive Disorder. Cereb Cortex 2020; 30:6481-6489. [PMID: 32770201 DOI: 10.1093/cercor/bhaa214] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/29/2020] [Revised: 06/29/2020] [Accepted: 07/14/2020] [Indexed: 12/31/2022] Open
Abstract
Our aim is to explore the spatial and temporal features of anorexia nervosa (AN) and obsessive-compulsive disorder (OCD) considering different brain regions and development stages. The gene sets related to 16 brain regions and nine development stages were obtained from a brain spatial and temporal transcriptomic dataset. Using the genome-wide association study data, transcriptome-wide association study (TWAS) was conducted to identify the genes whose imputed expressions were associated with AN and OCD, respectively. The mRNA expression profiles were analyzed by GEO2R to obtain differentially expressed genes. Gene set enrichment analysis was conducted to detect the spatial and temporal features related to AN and OCD using the TWAS and mRNA expression analysis results. We observed multiple common association signals shared by TWAS and mRNA expression analysis of AN, such as the primary auditory cortex vs. cerebellar cortex in fetal development and earlier vs. later fetal development in the somatosensory cortex. For OCD, we also detected multiple common association signals, such as medial prefrontal cortex vs. amygdala in adulthood and fetal development vs. infancy in mediodorsal nucleus of thalamus. Our study provides novel clues for describing the spatial and temporal features of brain development in the pathogenesis of AN and OCD.
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Affiliation(s)
- Bolun Cheng
- Key Laboratory of Trace Elements and Endemic Diseases, Collaborative Innovation Center of Endemic Disease and Health Promotion for Silk Road Region, School of Public Health, Health Science Center, Xi'an Jiaotong University, Xi'an 710061, P.R. China
| | - Xin Qi
- Key Laboratory of Trace Elements and Endemic Diseases, Collaborative Innovation Center of Endemic Disease and Health Promotion for Silk Road Region, School of Public Health, Health Science Center, Xi'an Jiaotong University, Xi'an 710061, P.R. China
| | - Chujun Liang
- Key Laboratory of Trace Elements and Endemic Diseases, Collaborative Innovation Center of Endemic Disease and Health Promotion for Silk Road Region, School of Public Health, Health Science Center, Xi'an Jiaotong University, Xi'an 710061, P.R. China
| | - Lu Zhang
- Key Laboratory of Trace Elements and Endemic Diseases, Collaborative Innovation Center of Endemic Disease and Health Promotion for Silk Road Region, School of Public Health, Health Science Center, Xi'an Jiaotong University, Xi'an 710061, P.R. China
| | - Mei Ma
- Key Laboratory of Trace Elements and Endemic Diseases, Collaborative Innovation Center of Endemic Disease and Health Promotion for Silk Road Region, School of Public Health, Health Science Center, Xi'an Jiaotong University, Xi'an 710061, P.R. China
| | - Ping Li
- Key Laboratory of Trace Elements and Endemic Diseases, Collaborative Innovation Center of Endemic Disease and Health Promotion for Silk Road Region, School of Public Health, Health Science Center, Xi'an Jiaotong University, Xi'an 710061, P.R. China
| | - Li Liu
- Key Laboratory of Trace Elements and Endemic Diseases, Collaborative Innovation Center of Endemic Disease and Health Promotion for Silk Road Region, School of Public Health, Health Science Center, Xi'an Jiaotong University, Xi'an 710061, P.R. China
| | - Shiqiang Cheng
- Key Laboratory of Trace Elements and Endemic Diseases, Collaborative Innovation Center of Endemic Disease and Health Promotion for Silk Road Region, School of Public Health, Health Science Center, Xi'an Jiaotong University, Xi'an 710061, P.R. China
| | - Yao Yao
- Key Laboratory of Trace Elements and Endemic Diseases, Collaborative Innovation Center of Endemic Disease and Health Promotion for Silk Road Region, School of Public Health, Health Science Center, Xi'an Jiaotong University, Xi'an 710061, P.R. China
| | - Xiaomeng Chu
- Key Laboratory of Trace Elements and Endemic Diseases, Collaborative Innovation Center of Endemic Disease and Health Promotion for Silk Road Region, School of Public Health, Health Science Center, Xi'an Jiaotong University, Xi'an 710061, P.R. China
| | - Jing Ye
- Key Laboratory of Trace Elements and Endemic Diseases, Collaborative Innovation Center of Endemic Disease and Health Promotion for Silk Road Region, School of Public Health, Health Science Center, Xi'an Jiaotong University, Xi'an 710061, P.R. China
| | - Yan Wen
- Key Laboratory of Trace Elements and Endemic Diseases, Collaborative Innovation Center of Endemic Disease and Health Promotion for Silk Road Region, School of Public Health, Health Science Center, Xi'an Jiaotong University, Xi'an 710061, P.R. China
| | - Yumeng Jia
- Key Laboratory of Trace Elements and Endemic Diseases, Collaborative Innovation Center of Endemic Disease and Health Promotion for Silk Road Region, School of Public Health, Health Science Center, Xi'an Jiaotong University, Xi'an 710061, P.R. China
| | - Feng Zhang
- Key Laboratory of Trace Elements and Endemic Diseases, Collaborative Innovation Center of Endemic Disease and Health Promotion for Silk Road Region, School of Public Health, Health Science Center, Xi'an Jiaotong University, Xi'an 710061, P.R. China
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18
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Simpson HB, van den Heuvel OA, Miguel EC, Reddy YCJ, Stein DJ, Lewis-Fernández R, Shavitt RG, Lochner C, Pouwels PJW, Narayanawamy JC, Venkatasubramanian G, Hezel DM, Vriend C, Batistuzzo MC, Hoexter MQ, de Joode NT, Costa DL, de Mathis MA, Sheshachala K, Narayan M, van Balkom AJLM, Batelaan NM, Venkataram S, Cherian A, Marincowitz C, Pannekoek N, Stovezky YR, Mare K, Liu F, Otaduy MCG, Pastorello B, Rao R, Katechis M, Van Meter P, Wall M. Toward identifying reproducible brain signatures of obsessive-compulsive profiles: rationale and methods for a new global initiative. BMC Psychiatry 2020; 20:68. [PMID: 32059696 PMCID: PMC7023814 DOI: 10.1186/s12888-020-2439-2] [Citation(s) in RCA: 11] [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: 12/02/2019] [Accepted: 01/10/2020] [Indexed: 01/26/2023] Open
Abstract
BACKGROUND Obsessive-compulsive disorder (OCD) has a lifetime prevalence of 2-3% and is a leading cause of global disability. Brain circuit abnormalities in individuals with OCD have been identified, but important knowledge gaps remain. The goal of the new global initiative described in this paper is to identify robust and reproducible brain signatures of measurable behaviors and clinical symptoms that are common in individuals with OCD. A global approach was chosen to accelerate discovery, to increase rigor and transparency, and to ensure generalizability of results. METHODS We will study 250 medication-free adults with OCD, 100 unaffected adult siblings of individuals with OCD, and 250 healthy control subjects at five expert research sites across five countries (Brazil, India, Netherlands, South Africa, and the U.S.). All participants will receive clinical evaluation, neurocognitive assessment, and magnetic resonance imaging (MRI). The imaging will examine multiple brain circuits hypothesized to underlie OCD behaviors, focusing on morphometry (T1-weighted MRI), structural connectivity (Diffusion Tensor Imaging), and functional connectivity (resting-state fMRI). In addition to analyzing each imaging modality separately, we will also use multi-modal fusion with machine learning statistical methods in an attempt to derive imaging signatures that distinguish individuals with OCD from unaffected siblings and healthy controls (Aim #1). Then we will examine how these imaging signatures link to behavioral performance on neurocognitive tasks that probe these same circuits as well as to clinical profiles (Aim #2). Finally, we will explore how specific environmental features (childhood trauma, socioeconomic status, and religiosity) moderate these brain-behavior associations. DISCUSSION Using harmonized methods for data collection and analysis, we will conduct the largest neurocognitive and multimodal-imaging study in medication-free subjects with OCD to date. By recruiting a large, ethno-culturally diverse sample, we will test whether there are robust biosignatures of core OCD features that transcend countries and cultures. If so, future studies can use these brain signatures to reveal trans-diagnostic disease dimensions, chart when these signatures arise during development, and identify treatments that target these circuit abnormalities directly. The long-term goal of this research is to change not only how we conceptualize OCD but also how we diagnose and treat it.
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Affiliation(s)
- Helen Blair Simpson
- grid.21729.3f0000000419368729Columbia University Irving Medical Center, Columbia University, New York, NY 10032 USA ,grid.413734.60000 0000 8499 1112The New York State Psychiatric Institute, New York, NY 10032 USA
| | - Odile A. van den Heuvel
- grid.12380.380000 0004 1754 9227Department of Psychiatry, Amsterdam UMC, Vrije Universiteit Amsterdam, de Boelelaan 1117, Amsterdam, Netherlands ,grid.12380.380000 0004 1754 9227Department of Anatomy and Neuroscience, Amsterdam UMC, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, de Boelelaan 1117, Amsterdam, Netherlands
| | - Euripedes C. Miguel
- grid.11899.380000 0004 1937 0722Obsessive-Compulsive Spectrum Disorders Program, Institute & Department of Psychiatry, Hospital das Clinicas-HCFMUSP, University of Sao Paulo Medical School, Sao Paulo, Brazil ,grid.500696.cNational Institute of Developmental Psychiatry, Sao Paulo, Brazil
| | - Y. C. Janardhan Reddy
- grid.416861.c0000 0001 1516 2246National Institute of Mental Health & Neurosciences (NIMHANS), Bangalore, India
| | - Dan J. Stein
- grid.7836.a0000 0004 1937 1151SAMRC Unit on Risk & Resilience in Mental Disorders, Department of Psychiatry & Neuroscience Institute, University of Cape Town, Cape Town, South Africa
| | - Roberto Lewis-Fernández
- grid.21729.3f0000000419368729Columbia University Irving Medical Center, Columbia University, New York, NY 10032 USA ,grid.413734.60000 0000 8499 1112The New York State Psychiatric Institute, New York, NY 10032 USA
| | - Roseli Gedanke Shavitt
- grid.11899.380000 0004 1937 0722Obsessive-Compulsive Spectrum Disorders Program, Institute & Department of Psychiatry, Hospital das Clinicas-HCFMUSP, University of Sao Paulo Medical School, Sao Paulo, Brazil ,grid.500696.cNational Institute of Developmental Psychiatry, Sao Paulo, Brazil
| | - Christine Lochner
- grid.11956.3a0000 0001 2214 904XSAMRC Unit on Risk & Resilience in Mental Disorders, Department of Psychiatry, Stellenbosch University, Stellenbosch, South Africa
| | - Petra J. W. Pouwels
- grid.12380.380000 0004 1754 9227Department of Radiology and Nuclear Medicine, Amsterdam UMC, Vrije Universiteit Amsterdam, de Boelelaan 1117, Amsterdam, Netherlands
| | - Janardhanan C. Narayanawamy
- grid.416861.c0000 0001 1516 2246National Institute of Mental Health & Neurosciences (NIMHANS), Bangalore, India
| | - Ganesan Venkatasubramanian
- grid.416861.c0000 0001 1516 2246National Institute of Mental Health & Neurosciences (NIMHANS), Bangalore, India
| | - Dianne M. Hezel
- grid.21729.3f0000000419368729Columbia University Irving Medical Center, Columbia University, New York, NY 10032 USA ,grid.413734.60000 0000 8499 1112The New York State Psychiatric Institute, New York, NY 10032 USA
| | - Chris Vriend
- grid.12380.380000 0004 1754 9227Department of Psychiatry, Amsterdam UMC, Vrije Universiteit Amsterdam, de Boelelaan 1117, Amsterdam, Netherlands ,grid.12380.380000 0004 1754 9227Department of Anatomy and Neuroscience, Amsterdam UMC, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, de Boelelaan 1117, Amsterdam, Netherlands
| | - Marcelo C. Batistuzzo
- grid.11899.380000 0004 1937 0722Obsessive-Compulsive Spectrum Disorders Program, Institute & Department of Psychiatry, Hospital das Clinicas-HCFMUSP, University of Sao Paulo Medical School, Sao Paulo, Brazil ,grid.500696.cNational Institute of Developmental Psychiatry, Sao Paulo, Brazil
| | - Marcelo Q. Hoexter
- grid.11899.380000 0004 1937 0722Obsessive-Compulsive Spectrum Disorders Program, Institute & Department of Psychiatry, Hospital das Clinicas-HCFMUSP, University of Sao Paulo Medical School, Sao Paulo, Brazil ,grid.500696.cNational Institute of Developmental Psychiatry, Sao Paulo, Brazil
| | - Niels T. de Joode
- grid.12380.380000 0004 1754 9227Department of Psychiatry, Amsterdam UMC, Vrije Universiteit Amsterdam, de Boelelaan 1117, Amsterdam, Netherlands ,grid.12380.380000 0004 1754 9227Department of Anatomy and Neuroscience, Amsterdam UMC, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, de Boelelaan 1117, Amsterdam, Netherlands
| | - Daniel Lucas Costa
- grid.11899.380000 0004 1937 0722Obsessive-Compulsive Spectrum Disorders Program, Institute & Department of Psychiatry, Hospital das Clinicas-HCFMUSP, University of Sao Paulo Medical School, Sao Paulo, Brazil ,grid.500696.cNational Institute of Developmental Psychiatry, Sao Paulo, Brazil
| | - Maria Alice de Mathis
- grid.11899.380000 0004 1937 0722Obsessive-Compulsive Spectrum Disorders Program, Institute & Department of Psychiatry, Hospital das Clinicas-HCFMUSP, University of Sao Paulo Medical School, Sao Paulo, Brazil ,grid.500696.cNational Institute of Developmental Psychiatry, Sao Paulo, Brazil
| | - Karthik Sheshachala
- grid.416861.c0000 0001 1516 2246National Institute of Mental Health & Neurosciences (NIMHANS), Bangalore, India
| | - Madhuri Narayan
- grid.416861.c0000 0001 1516 2246National Institute of Mental Health & Neurosciences (NIMHANS), Bangalore, India
| | - Anton J. L. M. van Balkom
- Amsterdam UMC, Vrije Universiteit, Psychiatry, Amsterdam Public Health Research Institute, de Boelelaan 1117, Amsterdam, Netherlands ,grid.420193.d0000 0004 0546 0540GGZ inGeest, Specialised Mental Health Care, Amsterdam, The Netherlands
| | - Neeltje M. Batelaan
- Amsterdam UMC, Vrije Universiteit, Psychiatry, Amsterdam Public Health Research Institute, de Boelelaan 1117, Amsterdam, Netherlands ,grid.420193.d0000 0004 0546 0540GGZ inGeest, Specialised Mental Health Care, Amsterdam, The Netherlands
| | - Shivakumar Venkataram
- grid.416861.c0000 0001 1516 2246National Institute of Mental Health & Neurosciences (NIMHANS), Bangalore, India
| | - Anish Cherian
- grid.416861.c0000 0001 1516 2246National Institute of Mental Health & Neurosciences (NIMHANS), Bangalore, India
| | - Clara Marincowitz
- grid.11956.3a0000 0001 2214 904XSAMRC Unit on Risk & Resilience in Mental Disorders, Department of Psychiatry, Stellenbosch University, Stellenbosch, South Africa
| | - Nienke Pannekoek
- grid.11956.3a0000 0001 2214 904XSAMRC Unit on Risk & Resilience in Mental Disorders, Department of Psychiatry, Stellenbosch University, Stellenbosch, South Africa
| | - Yael R. Stovezky
- grid.21729.3f0000000419368729Columbia University Irving Medical Center, Columbia University, New York, NY 10032 USA ,grid.413734.60000 0000 8499 1112The New York State Psychiatric Institute, New York, NY 10032 USA
| | - Karen Mare
- grid.7836.a0000 0004 1937 1151SAMRC Unit on Risk & Resilience in Mental Disorders, Department of Psychiatry & Neuroscience Institute, University of Cape Town, Cape Town, South Africa
| | - Feng Liu
- grid.21729.3f0000000419368729Columbia University Irving Medical Center, Columbia University, New York, NY 10032 USA ,grid.413734.60000 0000 8499 1112The New York State Psychiatric Institute, New York, NY 10032 USA
| | - Maria Concepcion Garcia Otaduy
- grid.11899.380000 0004 1937 0722Obsessive-Compulsive Spectrum Disorders Program, Institute & Department of Psychiatry, Hospital das Clinicas-HCFMUSP, University of Sao Paulo Medical School, Sao Paulo, Brazil ,grid.500696.cNational Institute of Developmental Psychiatry, Sao Paulo, Brazil
| | - Bruno Pastorello
- grid.11899.380000 0004 1937 0722Institute of Radiology, Hospital das Clinicas-HCFMUSP, University of Sao Paulo Medical School, Sao Paulo, Brazil
| | - Rashmi Rao
- grid.416861.c0000 0001 1516 2246National Institute of Mental Health & Neurosciences (NIMHANS), Bangalore, India
| | - Martha Katechis
- grid.21729.3f0000000419368729Columbia University Irving Medical Center, Columbia University, New York, NY 10032 USA ,grid.413734.60000 0000 8499 1112The New York State Psychiatric Institute, New York, NY 10032 USA
| | - Page Van Meter
- grid.21729.3f0000000419368729Columbia University Irving Medical Center, Columbia University, New York, NY 10032 USA ,grid.413734.60000 0000 8499 1112The New York State Psychiatric Institute, New York, NY 10032 USA
| | - Melanie Wall
- grid.21729.3f0000000419368729Columbia University Irving Medical Center, Columbia University, New York, NY 10032 USA ,grid.413734.60000 0000 8499 1112The New York State Psychiatric Institute, New York, NY 10032 USA
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19
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Zheng P, Mei J, Leng J, Jia S, Gu Z, Chen S, Zhang W, Cheng A, Guo D, Lang J. Evaluation of the brain functional activities in rats various location-endometriosis pain model. ANNALS OF TRANSLATIONAL MEDICINE 2019; 7:767. [PMID: 32042783 DOI: 10.21037/atm.2019.11.73] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
Abstract
Background Endometriosis (EM) is a common gynecological disease in women of reproductive age. These patients in approximately 80% suffer the various degree pain. This study will investigate synergistically the mechanism of the higher-position central sensitization and offer a pre-clinical experiment evidence for treatment of various location-EM patients with pain. Methods Twenty Sprague-Dawley rats were induced three types EM including abdominal EM (n=5), gastrocnemius EM (n=5) and ovary EM group (n=5) and one sham control group (n=5). All groups were measured the pain sensitization by hotplate test, then scanned by the functional magnetic resonance imaging (fMRI). The resting-state fMRI (rs-fMRI) date was analyzed using regional homogeneity (ReHo) approach to find out the abnormal functional activity brain regions. Nissl staining method observed the state of neurons in aberrant ReHo signal brain regions. Results Rats with EM pain sensitization were increased in abdominal EM and gastrocnemius EM than ovary EM group and sham control. The ReHo value is decreased in gastrocnemius EM in right thalamus and left olfactory tubercle compared with other three groups. The number of neurons was decreased; cavitation around nucleus, and pyknotic homogenous nuclei. Nissl bodies were stained deeply, and the shape was irregular in gastrocnemius EM by Nissl staining in right thalamus. In left olfactory tubercle, there was no significant difference in 4 groups. Conclusions The thalamus may be the potential key brain region for the central sensitization mechanism of various location-EM pain. The oxidative activation may be weakened in thalamus in gastrocnemius EM group with more severe pain. This finding could lend support for future research on the imageology and pathology of various location-EM pain.
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Affiliation(s)
- Ping Zheng
- Department of Obstetrics and Gynecology, Peking Union Medical College Hospital, Peking Union Medical College, Chinese Academy of Medical Sciences, Beijing 100730, China
| | - Jian Mei
- Physical Education College, Soochow University, Suzhou 215000, China
| | - Jinhua Leng
- Department of Obstetrics and Gynecology, Peking Union Medical College Hospital, Peking Union Medical College, Chinese Academy of Medical Sciences, Beijing 100730, China
| | - Shuangzheng Jia
- Department of Obstetrics and Gynecology, Peking Union Medical College Hospital, Peking Union Medical College, Chinese Academy of Medical Sciences, Beijing 100730, China
| | - Zhiyue Gu
- Department of Obstetrics and Gynecology, Peking Union Medical College Hospital, Peking Union Medical College, Chinese Academy of Medical Sciences, Beijing 100730, China
| | - Sikai Chen
- Department of Obstetrics and Gynecology, Peking Union Medical College Hospital, Peking Union Medical College, Chinese Academy of Medical Sciences, Beijing 100730, China
| | - Wen Zhang
- Department of Obstetrics and Gynecology, Peking Union Medical College Hospital, Peking Union Medical College, Chinese Academy of Medical Sciences, Beijing 100730, China
| | - Aoshuang Cheng
- Department of Obstetrics and Gynecology, Peking Union Medical College Hospital, Peking Union Medical College, Chinese Academy of Medical Sciences, Beijing 100730, China
| | - Dalong Guo
- Air Force Characteristic Medical Center, PLA Air Force Medical University, Beijing 100142, China
| | - Jinghe Lang
- Department of Obstetrics and Gynecology, Peking Union Medical College Hospital, Peking Union Medical College, Chinese Academy of Medical Sciences, Beijing 100730, China
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