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Lazarov A, Liberman N, Dar R. The Seeking Proxies for Internal States (SPIS) Model of OCD - A Comprehensive Review of Current Findings and Implications for Future Directions. Curr Neuropharmacol 2024; 22:1807-1825. [PMID: 37881091 DOI: 10.2174/1570159x21666230920165403] [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: 01/25/2023] [Revised: 04/17/2023] [Accepted: 05/19/2023] [Indexed: 10/27/2023] Open
Abstract
The Seeking Proxies for Internal States (SPIS) model of obsessive-compulsive disorder (OCD) explains symptoms of OCD as stemming from attenuated access to internal states, which is compensated for by using proxies, which are indices of these states that are more discernible or less ambiguous. Internal states in the SPIS model are subjective states that are not accessible to others, encompassing physiological states, motivations, preferences, memories, and emotions. Compensatory proxies in OCD include fixed rules and rituals as well as seeking and relying on external information. In the present review, we outline the SPIS model and describe its basic tenets. We then use the SPIS conceptualization to explain two pivotal OCD-related phenomena - obsessive doubt and compulsive rituals. Next, we provide a detailed overview of current empirical evidence supporting the SPIS in several domains, including physiological states, emotions, sense of understanding, decision-making, and sense of agency. We conclude by discussing possible neural correlates of the difficulty in accessing internal states, focusing on the anterior insular cortex (AIC) and highlighting potential clinical implications of the model to the treatment of OCD.
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Affiliation(s)
- Amit Lazarov
- School of Psychological Sciences, Tel Aviv University, Tel Aviv 69978, Israel
| | - Nira Liberman
- School of Psychological Sciences, Tel Aviv University, Tel Aviv 69978, Israel
| | - Reuven Dar
- School of Psychological Sciences, Tel Aviv University, Tel Aviv 69978, Israel
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Lee SW, Kim S, Lee S, Seo HS, Cha H, Chang Y, Lee SJ. Neural mechanisms of acceptance-commitment therapy for obsessive-compulsive disorder: a resting-state and task-based fMRI study. Psychol Med 2024; 54:374-384. [PMID: 37427558 DOI: 10.1017/s0033291723001769] [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] [Indexed: 07/11/2023]
Abstract
BACKGROUND There is growing evidence for the use of acceptance-commitment therapy (ACT) for the treatment of obsessive-compulsive disorder (OCD). However, few fully implemented ACT have been conducted on the neural mechanisms underlying its effect on OCD. Thus, this study aimed to elucidate the neural correlates of ACT in patients with OCD using task-based and resting-state functional magnetic resonance imaging (fMRI). METHODS Patients with OCD were randomly assigned to the ACT (n = 21) or the wait-list control group (n = 21). An 8-week group-format ACT program was provided to the ACT group. All participants underwent an fMRI scan and psychological measurements before and after 8 weeks. RESULTS Patients with OCD showed significantly increased activation in the bilateral insula and superior temporal gyri (STG), induced by the thought-action fusion task after ACT intervention. Further psycho-physiological interaction analyses with these regions as seeds revealed that the left insular-left inferior frontal gyrus (IFG) connectivity was strengthened in the ACT group after treatment. Increased resting-state functional connectivity was also found in the posterior cingulate cortex (PCC), precuneus, and lingual gyrus after ACT intervention Most of these regions showed significant correlations with ACT process measures while only the right insula was correlated with the obsessive-compulsive symptom measure. CONCLUSIONS These findings suggest that the therapeutic effect of ACT on OCD may involve the salience and interoception processes (i.e. insula), multisensory integration (i.e. STG), language (i.e. IFG), and self-referential processes (i.e. PCC and precuneus). These areas or their interactions could be important for understanding how ACT works psychologically.
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Affiliation(s)
- Sang Won Lee
- Department of Psychiatry, Kyungpook National University Chilgok Hospital, Daegu, Korea
- Department of Psychiatry, School of Medicine, Kyungpook National University, Daegu, Korea
| | - Seungho Kim
- Department of Medical & Biological Engineering, Kyungpook National University, Daegu, Korea
| | - Sangyeol Lee
- Department of Medical & Biological Engineering, Kyungpook National University, Daegu, Korea
| | - Ho Seok Seo
- Department of Psychiatry, Kyungpook National University Hospital, Daegu, Korea
| | - Hyunsil Cha
- Institute of Biomedical Engineering Research, Kyungpook National University, Daegu, Korea
| | - Yongmin Chang
- Department of Molecular Medicine, School of Medicine, Kyungpook National University, Daegu, Korea
- Department of Radiology, Kyungpook National University Hospital, Daegu, Korea
| | - Seung Jae Lee
- Department of Psychiatry, School of Medicine, Kyungpook National University, Daegu, Korea
- Department of Psychiatry, Kyungpook National University Hospital, Daegu, Korea
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Yan H, Zhang Y, Shan X, Li H, Liu F, Xie G, Li P, Guo W. Altered interhemispheric functional connectivity in patients with obsessive-compulsive disorder and its potential in therapeutic response prediction. J Neurosci Res 2024; 102. [PMID: 38284840 DOI: 10.1002/jnr.25272] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/01/2023] [Revised: 10/23/2023] [Accepted: 10/25/2023] [Indexed: 01/30/2024]
Abstract
The trajectory of voxel-mirrored homotopic connectivity (VMHC) after medical treatment in obsessive-compulsive disorder (OCD) and its value in prediction of treatment response remains unclear. This study aimed to investigate the pathophysiological mechanism of OCD, as well as biomarkers for prediction of pharmacological efficacy. Medication-free patients with OCD and healthy controls (HCs) underwent magnetic resonance imaging. The patients were scanned again after a 4-week treatment with paroxetine. The acquired data were subjected to VMHC, support vector regression (SVR), and correlation analyses. Compared with HCs (36 subjects), patients with OCD (34 subjects after excluding two subjects with excessive head movement) exhibited significantly lower VMHC in the bilateral superior parietal lobule (SPL), postcentral gyrus, and calcarine cortex, and VMHC in the postcentral gyrus was positively correlated with cognitive function. After treatment, the patients showed increased VMHC in the bilateral posterior cingulate cortex/precuneus (PCC/PCu) with the improvement of symptoms. SVR results showed that VMHC in the postcentral gyrus at baseline could aid to predict a change in the scores of OCD scales. This study revealed that SPL, postcentral gyrus, and calcarine cortex participate in the pathophysiological mechanism of OCD while PCC/PCu participate in the pharmacological mechanism. VMHC in the postcentral gyrus is a potential predictive biomarker of the treatment effects in OCD.
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Affiliation(s)
- Haohao Yan
- Department of Psychiatry, National Clinical Research Center for Mental Disorders, and National Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha, China
| | - Yingying Zhang
- Department of Psychiatry, National Clinical Research Center for Mental Disorders, and National Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha, China
| | - Xiaoxiao Shan
- Department of Psychiatry, National Clinical Research Center for Mental Disorders, and National Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha, 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
| | - Guojun Xie
- Department of Psychiatry, The Third People's Hospital of Foshan, Foshan, China
| | - Ping Li
- Department of Psychiatry, Qiqihar Medical University, Qiqihar, China
| | - Wenbin Guo
- Department of Psychiatry, National Clinical Research Center for Mental Disorders, and National Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha, China
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Xu Y, Han S, Wei Y, Zheng R, Cheng J, Zhang Y. Abnormal resting-state effective connectivity in large-scale networks among obsessive-compulsive disorder. Psychol Med 2024; 54:350-358. [PMID: 37310178 DOI: 10.1017/s0033291723001228] [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] [Indexed: 06/14/2023]
Abstract
BACKGROUND Obsessive-compulsive disorder (OCD) is a chronic mental illness characterized by abnormal functional connectivity among distributed brain regions. Previous studies have primarily focused on undirected functional connectivity and rarely reported from network perspective. METHODS To better understand between or within-network connectivities of OCD, effective connectivity (EC) of a large-scale network is assessed by spectral dynamic causal modeling with eight key regions of interests from default mode (DMN), salience (SN), frontoparietal (FPN) and cerebellum networks, based on large sample size including 100 OCD patients and 120 healthy controls (HCs). Parametric empirical Bayes (PEB) framework was used to identify the difference between the two groups. We further analyzed the relationship between connections and Yale-Brown Obsessive Compulsive Scale (Y-BOCS). RESULTS OCD and HCs shared some similarities of inter- and intra-network patterns in the resting state. Relative to HCs, patients showed increased ECs from left anterior insula (LAI) to medial prefrontal cortex, right anterior insula (RAI) to left dorsolateral prefrontal cortex (L-DLPFC), right dorsolateral prefrontal cortex (R-DLPFC) to cerebellum anterior lobe (CA), CA to posterior cingulate cortex (PCC) and to anterior cingulate cortex (ACC). Moreover, weaker from LAI to L-DLPFC, RAI to ACC, and the self-connection of R-DLPFC. Connections from ACC to CA and from L-DLPFC to PCC were positively correlated with compulsion and obsession scores (r = 0.209, p = 0.037; r = 0.199, p = 0.047, uncorrected). CONCLUSIONS Our study revealed dysregulation among DMN, SN, FPN, and cerebellum in OCD, emphasizing the role of these four networks in achieving top-down control for goal-directed behavior. There existed a top-down disruption among these networks, constituting the pathophysiological and clinical basis.
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Affiliation(s)
- Yinhuan Xu
- Department of Magnetic Resonance Imaging, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, China; Key Laboratory for Functional Magnetic Resonance Imaging of Henan Province, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, China; Engineering Research Center of Medical Imaging Intelligent Diagnosis and Treatment of Henan Province, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, China; Key Laboratory of Brain Function and Cognitive Magnetic Resonance Imaging of Zhengzhou, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, China; Key Laboratory of Magnetic Resonance and Brain Function of Henan Province, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, China; Key Laboratory of Imaging Intelligence Research Medicine of Henan Province, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, China and Engineering Technology Research Center for Detection and Application of Brain Function of Henan Province, 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; Key Laboratory for Functional Magnetic Resonance Imaging of Henan Province, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, China; Engineering Research Center of Medical Imaging Intelligent Diagnosis and Treatment of Henan Province, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, China; Key Laboratory of Brain Function and Cognitive Magnetic Resonance Imaging of Zhengzhou, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, China; Key Laboratory of Magnetic Resonance and Brain Function of Henan Province, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, China; Key Laboratory of Imaging Intelligence Research Medicine of Henan Province, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, China and Engineering Technology Research Center for Detection and Application of Brain Function of Henan Province, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Yarui Wei
- Department of Magnetic Resonance Imaging, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, China; Key Laboratory for Functional Magnetic Resonance Imaging of Henan Province, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, China; Engineering Research Center of Medical Imaging Intelligent Diagnosis and Treatment of Henan Province, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, China; Key Laboratory of Brain Function and Cognitive Magnetic Resonance Imaging of Zhengzhou, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, China; Key Laboratory of Magnetic Resonance and Brain Function of Henan Province, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, China; Key Laboratory of Imaging Intelligence Research Medicine of Henan Province, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, China and Engineering Technology Research Center for Detection and Application of Brain Function of Henan Province, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Ruiping Zheng
- Department of Magnetic Resonance Imaging, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, China; Key Laboratory for Functional Magnetic Resonance Imaging of Henan Province, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, China; Engineering Research Center of Medical Imaging Intelligent Diagnosis and Treatment of Henan Province, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, China; Key Laboratory of Brain Function and Cognitive Magnetic Resonance Imaging of Zhengzhou, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, China; Key Laboratory of Magnetic Resonance and Brain Function of Henan Province, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, China; Key Laboratory of Imaging Intelligence Research Medicine of Henan Province, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, China and Engineering Technology Research Center for Detection and Application of Brain Function of Henan Province, 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; Key Laboratory for Functional Magnetic Resonance Imaging of Henan Province, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, China; Engineering Research Center of Medical Imaging Intelligent Diagnosis and Treatment of Henan Province, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, China; Key Laboratory of Brain Function and Cognitive Magnetic Resonance Imaging of Zhengzhou, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, China; Key Laboratory of Magnetic Resonance and Brain Function of Henan Province, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, China; Key Laboratory of Imaging Intelligence Research Medicine of Henan Province, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, China and Engineering Technology Research Center for Detection and Application of Brain Function of Henan Province, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Yan Zhang
- Department of Magnetic Resonance Imaging, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, China; Key Laboratory for Functional Magnetic Resonance Imaging of Henan Province, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, China; Engineering Research Center of Medical Imaging Intelligent Diagnosis and Treatment of Henan Province, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, China; Key Laboratory of Brain Function and Cognitive Magnetic Resonance Imaging of Zhengzhou, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, China; Key Laboratory of Magnetic Resonance and Brain Function of Henan Province, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, China; Key Laboratory of Imaging Intelligence Research Medicine of Henan Province, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, China and Engineering Technology Research Center for Detection and Application of Brain Function of Henan Province, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
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Becker HC, Norman LJ, Yang H, Monk CS, Phan KL, Taylor SF, Liu Y, Mannella K, Fitzgerald KD. Disorder-specific cingulo-opercular network hyperconnectivity in pediatric OCD relative to pediatric anxiety. Psychol Med 2023; 53:1468-1478. [PMID: 37010220 PMCID: PMC10009399 DOI: 10.1017/s0033291721003044] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/28/2020] [Revised: 05/17/2021] [Accepted: 07/13/2021] [Indexed: 11/05/2022]
Abstract
BACKGROUND Prior investigation of adult patients with obsessive compulsive disorder (OCD) has found greater functional connectivity within orbitofrontal-striatal-thalamic (OST) circuitry, as well as altered connectivity within and between large-scale brain networks such as the cingulo-opercular network (CON) and default mode network (DMN), relative to controls. However, as adult OCD patients often have high rates of co-morbid anxiety and long durations of illness, little is known about the functional connectivity of these networks in relation to OCD specifically, or in young patients near illness onset. METHODS In this study, unmedicated female patients with OCD (ages 8-21 years, n = 23) were compared to age-matched female patients with anxiety disorders (n = 26), and healthy female youth (n = 44). Resting-state functional connectivity was used to determine the strength of functional connectivity within and between OST, CON, and DMN. RESULTS Functional connectivity within the CON was significantly greater in the OCD group as compared to the anxiety and healthy control groups. Additionally, the OCD group displayed greater functional connectivity between OST and CON compared to the other two groups, which did not differ significantly from each other. CONCLUSIONS Our findings indicate that previously noted network connectivity differences in pediatric patients with OCD were likely not attributable to co-morbid anxiety disorders. Moreover, these results suggest that specific patterns of hyperconnectivity within CON and between CON and OST circuitry may characterize OCD relative to non-OCD anxiety disorders in youth. This study improves understanding of network dysfunction underlying pediatric OCD as compared to pediatric anxiety.
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Affiliation(s)
- Hannah C. Becker
- Department of Psychology, University of Michigan, Ann Arbor, MI, USA
| | - Luke J. Norman
- Department of Psychiatry, University of Michigan, Ann Arbor, MI, USA
- National Human Genome Research Institute, Bethesda, MD, USA
| | - Huan Yang
- Department of Psychiatry, University of Michigan, Ann Arbor, MI, USA
- The Second Xiangya Hospital, Central South University, Changsha, China
| | - Christopher S. Monk
- Department of Psychology, University of Michigan, Ann Arbor, MI, USA
- Department of Psychiatry, University of Michigan, Ann Arbor, MI, USA
| | - K. Luan Phan
- Department of Psychiatry and Behavioral Health, The Ohio State University, Columbus, OH, USA
| | - Stephan F. Taylor
- Department of Psychiatry, University of Michigan, Ann Arbor, MI, USA
| | - Yanni Liu
- Department of Psychiatry, University of Michigan, Ann Arbor, MI, USA
| | - Kristin Mannella
- Department of Psychiatry, University of Michigan, Ann Arbor, MI, USA
| | - Kate D. Fitzgerald
- Department of Psychology, University of Michigan, Ann Arbor, MI, USA
- Department of Psychiatry, University of Michigan, Ann Arbor, MI, USA
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Zhou Z, Li B, Jiang J, Li H, Cao L, Zhang S, Gao Y, Zhang L, Qiu C, Huang X, Gong Q. Abnormal resting-state functional connectivity of the insula in medication-free patients with obsessive-compulsive disorder. BMC Psychiatry 2022; 22:742. [PMID: 36447147 PMCID: PMC9710058 DOI: 10.1186/s12888-022-04341-z] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/01/2022] [Revised: 10/13/2022] [Accepted: 10/26/2022] [Indexed: 12/03/2022] Open
Abstract
BACKGROUND The function of the insula has been increasingly mentioned in neurocircuitry models of obsessive-compulsive disorder (OCD) for its role in affective processing and regulating anxiety and its wide interactions with the classic cortico-striato-thalamo-cortical circuit. However, the insular resting-state functional connectivity patterns in OCD remain unclear. Therefore, we aimed to investigate characteristic intrinsic connectivity alterations of the insula in OCD and their associations with clinical features. METHODS We obtained resting-state functional magnetic resonance imaging data from 85 drug-free OCD patients and 85 age- and sex-matched healthy controls (HCs). We performed a general linear model to compare the whole-brain intrinsic functional connectivity maps of the bilateral insula between the OCD and HC groups. In addition, we further explored the relationship between the intrinsic functional connectivity alterations of the insula and clinical features using Pearson or Spearman correlation analysis. RESULTS Compared with HCs, patients with OCD exhibited increased intrinsic connectivity between the bilateral insula and bilateral precuneus gyrus extending to the inferior parietal lobule and supplementary motor area. Decreased intrinsic connectivity was only found between the right insula and bilateral lingual gyrus in OCD patients relative to HC subjects, which was negatively correlated with the severity of depression symptoms in the OCD group. CONCLUSION In the current study, we identified impaired insular intrinsic connectivity in OCD patients and the dysconnectivity of the right insula and bilateral lingual gyrus associated with the depressive severity of OCD patients. These findings provide neuroimaging evidence for the involvement of the insula in OCD and suggest its potential role in the depressive symptoms of OCD.
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Affiliation(s)
- Zilin Zhou
- grid.412901.f0000 0004 1770 1022Huaxi MR Research Center (HMRRC), Functional and Molecular Imaging Key Laboratory of Sichuan Province, Department of Radiology, West China Hospital of Sichuan University, No.37 Guo Xue Xiang, 610041 Chengdu, China
| | - Bin Li
- grid.412901.f0000 0004 1770 1022Department of Psychiatry, West China Hospital of Sichuan University, Chengdu, China
| | - Jiaxin Jiang
- grid.412901.f0000 0004 1770 1022Department of Psychiatry, West China Hospital of Sichuan University, Chengdu, China
| | - Hailong Li
- grid.412901.f0000 0004 1770 1022Huaxi MR Research Center (HMRRC), Functional and Molecular Imaging Key Laboratory of Sichuan Province, Department of Radiology, West China Hospital of Sichuan University, No.37 Guo Xue Xiang, 610041 Chengdu, China
| | - Lingxiao Cao
- grid.412901.f0000 0004 1770 1022Huaxi MR Research Center (HMRRC), Functional and Molecular Imaging Key Laboratory of Sichuan Province, Department of Radiology, West China Hospital of Sichuan University, No.37 Guo Xue Xiang, 610041 Chengdu, China
| | - Suming Zhang
- grid.412901.f0000 0004 1770 1022Huaxi MR Research Center (HMRRC), Functional and Molecular Imaging Key Laboratory of Sichuan Province, Department of Radiology, West China Hospital of Sichuan University, No.37 Guo Xue Xiang, 610041 Chengdu, China
| | - Yingxue Gao
- grid.412901.f0000 0004 1770 1022Huaxi MR Research Center (HMRRC), Functional and Molecular Imaging Key Laboratory of Sichuan Province, Department of Radiology, West China Hospital of Sichuan University, No.37 Guo Xue Xiang, 610041 Chengdu, China
| | - Lianqing Zhang
- grid.412901.f0000 0004 1770 1022Huaxi MR Research Center (HMRRC), Functional and Molecular Imaging Key Laboratory of Sichuan Province, Department of Radiology, West China Hospital of Sichuan University, No.37 Guo Xue Xiang, 610041 Chengdu, China
| | - Changjian Qiu
- Mental Health Center and Psychiatric Laboratory, West China Hospital of Sichuan University, 610041, Chengdu, China.
| | - Xiaoqi Huang
- Huaxi MR Research Center (HMRRC), Functional and Molecular Imaging Key Laboratory of Sichuan Province, Department of Radiology, West China Hospital of Sichuan University, No.37 Guo Xue Xiang, 610041, Chengdu, China. .,Psychoradiology Research Unit of the Chinese Academy of Medical Science (2018RU011), West China Hospital of Sichuan University, Chengdu, China. .,Frontiers Science Center for Disease-related Molecular Network, West China Hospital of Sichuan University, Chengdu, China.
| | - Qiyong Gong
- grid.412901.f0000 0004 1770 1022Huaxi MR Research Center (HMRRC), Functional and Molecular Imaging Key Laboratory of Sichuan Province, Department of Radiology, West China Hospital of Sichuan University, No.37 Guo Xue Xiang, 610041 Chengdu, China ,grid.412901.f0000 0004 1770 1022Psychoradiology Research Unit of the Chinese Academy of Medical Science (2018RU011), West China Hospital of Sichuan University, Chengdu, China
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Eng GK, Collins KA, Brown C, Ludlow M, Tobe RH, Iosifescu DV, Stern ER. Relationships between interoceptive sensibility and resting-state functional connectivity of the insula in obsessive-compulsive disorder. Cereb Cortex 2022; 32:5285-5300. [PMID: 35257146 PMCID: PMC9712718 DOI: 10.1093/cercor/bhac014] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/17/2021] [Revised: 01/09/2022] [Accepted: 01/10/2022] [Indexed: 12/27/2022] Open
Abstract
Patients with obsessive-compulsive disorder (OCD) exhibit abnormality in their subjective perception of internal sensation, a process known as interoceptive sensibility (IS), as well as altered functioning of the insula, a key neural structure for interoception. We investigated the multivariate structure of IS in 77 OCD patients and 53 controls and examined associations of IS with resting-state functional connectivity (FC) of the insula within the OCD group. For each group, principal component analysis was performed on 8 subscales of the Multidimensional Assessment of Interoceptive Awareness assessing putatively "adaptive" and "maladaptive" aspects of IS. Associations between IS components and insula FC in the OCD group were evaluated using seed regions placed in each of 3 subdivisions of the insula (posterior, anterior dorsal, and anterior ventral). Behaviorally, controls showed a 2-component solution broadly categorized into "adaptive" and "maladaptive" IS, while OCD patients exhibited a 3-component solution. The general tendency to notice or be aware of sensation loaded onto an "adaptive" IS component in controls but loaded onto both "adaptive" and "maladaptive" IS components in OCD. Within OCD, insula FC was differentially associated with distinct aspects of IS, identifying network connections that could serve as future targets for the modulation of IS in OCD.
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Affiliation(s)
- Goi Khia Eng
- Department of Psychiatry, New York University School of Medicine, One Park Ave, 8th Floor, New York, NY 10016, United States.,Nathan S. Kline Institute for Psychiatric Research, 140 Old Orangeburg Road, Orangeburg, NY 10962, United States
| | - Katherine A Collins
- Nathan S. Kline Institute for Psychiatric Research, 140 Old Orangeburg Road, Orangeburg, NY 10962, United States
| | - Carina Brown
- San Diego State University/University of California San Diego Joint Doctoral Program in Clinical Psychology, 6363 Alvarado Court, San Diego, CA 92120, United States
| | - Molly Ludlow
- Ferkauf Graduate School of Psychology, 1165 Morris Park Ave, Bronx, NY 10461, United States
| | - Russell H Tobe
- Nathan S. Kline Institute for Psychiatric Research, 140 Old Orangeburg Road, Orangeburg, NY 10962, United States
| | - Dan V Iosifescu
- Department of Psychiatry, New York University School of Medicine, One Park Ave, 8th Floor, New York, NY 10016, United States.,Nathan S. Kline Institute for Psychiatric Research, 140 Old Orangeburg Road, Orangeburg, NY 10962, United States
| | - Emily R Stern
- Department of Psychiatry, New York University School of Medicine, One Park Ave, 8th Floor, New York, NY 10016, United States.,Nathan S. Kline Institute for Psychiatric Research, 140 Old Orangeburg Road, Orangeburg, NY 10962, United States
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Yan H, Shan X, Li H, Liu F, Guo W. Abnormal spontaneous neural activity as a potential predictor of early treatment response in patients with obsessive-compulsive disorder. J Affect Disord 2022; 309:27-36. [PMID: 35472471 DOI: 10.1016/j.jad.2022.04.125] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/04/2022] [Revised: 04/17/2022] [Accepted: 04/19/2022] [Indexed: 11/28/2022]
Abstract
BACKGROUND We aimed to explore the value of early improvement in obsessive-compulsive disorder (OCD) along with potential imaging changes after treatment with paroxetine in building diagnostic models and predicting treatment response. METHODS The clinical symptoms of patients with OCD were assessed at baseline and post-treatment (four weeks). Resting-state functional magnetic resonance imaging, fractional amplitudes of low-frequency fluctuations (fALFF) indicator, support vector machine (SVM), support vector regression (SVR), and correlation analysis were performed to acquire and analyze the data. RESULTS In comparison with healthy controls, OCD patients at baseline had abnormal fALFF in several brain regions. The abnormal fALFF in the left precuneus/ posterior cingulate cortex (PCC) (r = -0.526, p = 0.001) and right middle cingulate cortex (MCC) (r = -0.588, p < 0.001) were negatively correlated with the severity of compulsions. Patients with OCD showed significantly clinical improvement along with significantly decreased fALFF in the left precuneus after treatment. The SVM analysis showed that the classifier had an accuracy of 90.00% based on the fALFF in the right precentral gyrus and right MCC at baseline. The SVR analysis showed that the actual remission of OCD was positively correlated with the predicted remission based on the fALFF in the left precuneus/PCC and right MCC at baseline. LIMITATIONS This monocentric study with the relatively small sample size might restrict the generalizability of the results to other centers. CONCLUSIONS Abnormal spontaneous neural activities in patients with OCD could serve as potential neuroimaging biomarkers for diagnosis and prediction of early treatment response.
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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 410011, Hunan, China
| | - Xiaoxiao Shan
- Department of Psychiatry, National Clinical Research Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha 410011, Hunan, China
| | - Huabing Li
- Department of Radiology, The Second Xiangya Hospital of Central South University, Changsha, Hunan 410011, 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 410011, Hunan, China; Department of Psychiatry, The Third People's Hospital of Foshan, Foshan 528000, Guangdong, China.
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9
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Fang A, Baran B, Beatty CC, Mosley J, Feusner JD, Phan KL, Wilhelm S, Manoach DS. Maladaptive self-focused attention and default mode network connectivity: a transdiagnostic investigation across social anxiety and body dysmorphic disorders. Soc Cogn Affect Neurosci 2022; 17:645-654. [PMID: 34875086 PMCID: PMC9250304 DOI: 10.1093/scan/nsab130] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/16/2021] [Revised: 11/12/2021] [Accepted: 12/06/2021] [Indexed: 11/13/2022] Open
Abstract
Maladaptive self-focused attention (SFA) is a bias toward internal thoughts, feelings and physical states. Despite its role as a core maintaining factor of symptoms in cognitive theories of social anxiety and body dysmorphic disorders (BDDs), studies have not examined its neural basis. In this study, we hypothesized that maladaptive SFA would be associated with hyperconnectivity in the default mode network (DMN) in self-focused patients with these disorders. Thirty patients with primary social anxiety disorder or primary BDD and 28 healthy individuals were eligible and scanned. Eligibility was determined by scoring greater than 1SD or below 1SD of the Public Self-Consciousness Scale normative mean, respectively, for each group. Seed-to-voxel functional connectivity was computed using a DMN posterior cingulate cortex (PCC) seed. There was no evidence of increased DMN functional connectivity in patients compared to controls. Patients (regardless of diagnosis) showed reduced functional connectivity of the PCC with several brain regions, including the bilateral superior parietal lobule (SPL), compared to controls, which was inversely correlated with maladaptive SFA but not associated with social anxiety, body dysmorphic, depression severity or rumination. Abnormal PCC-SPL connectivity may represent a transdiagnostic neural marker of SFA that reflects difficulty shifting between internal versus external attention.
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Affiliation(s)
- Angela Fang
- Department of Psychology, University of Washington, Seattle, WA 98195-1525, USA
| | - Bengi Baran
- Department of Psychological and Brain Sciences, University of Iowa, Iowa City, IA 52242-1407, USA
| | - Clare C Beatty
- Department of Psychology, Stony Brook University, Stony Brook, NY 11794-2500, USA
| | - Jennifer Mosley
- Department of Psychology, University of Washington, Seattle, WA 98195-1525, USA
| | - Jamie D Feusner
- Department of Psychiatry and Biobehavioral Sciences, University of California Los Angeles, Los Angeles, CA 90095-8346, USA.,Centre for Addiction and Mental Health, Toronto, Ontario M5T 1R8, Canada.,Department of Psychiatry, University of Toronto, Toronto, Ontario M5T 1R8, Canada
| | - K Luan Phan
- Department of Psychiatry and Behavioral Health, Ohio State University Wexner Medical Center, Columbus, OH 43210-1240, USA
| | - Sabine Wilhelm
- Department of Psychiatry, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02114-2696, USA
| | - Dara S Manoach
- Department of Psychiatry, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02114-2696, USA.,Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02129-2020, USA
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10
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Baldi S, Michielse S, Vriend C, van den Heuvel MP, van den Heuvel OA, Schruers KRJ, Goossens L. Abnormal white-matter rich-club organization in obsessive-compulsive disorder. Hum Brain Mapp 2022; 43:4699-4709. [PMID: 35735129 PMCID: PMC9491289 DOI: 10.1002/hbm.25984] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/15/2022] [Revised: 05/24/2022] [Accepted: 06/03/2022] [Indexed: 11/09/2022] Open
Abstract
Rich‐club organization is key to efficient global neuronal signaling and integration of information. Alterations interfere with higher‐order cognitive processes, and are common to several psychiatric and neurological conditions. A few studies examining the structural connectome in obsessive–compulsive disorder (OCD) suggest lower efficiency of information transfer across the brain. However, it remains unclear whether this is due to alterations in rich‐club organization. In the current study, the structural connectome of 28 unmedicated OCD patients, 8 of their unaffected siblings and 28 healthy controls was reconstructed by means of diffusion‐weighted imaging and probabilistic tractography. Topological and weighted measures of rich‐club organization and connectivity were computed, alongside global and nodal measures of network integration and segregation. The relationship between clinical scores and network properties was explored. Compared to healthy controls, OCD patients displayed significantly lower topological and weighted rich‐club organization, allocating a smaller fraction of all connection weights to the rich‐club core. Global clustering coefficient, local efficiency, and clustering of nonrich club nodes were significantly higher in OCD patients. Significant three‐group differences emerged, with siblings displaying highest and lowest values in different measures. No significant correlation with any clinical score was found. Our results suggest weaker structural connectivity between rich‐club nodes in OCD patients, possibly resulting in lower network integration in favor of higher network segregation. We highlight the need of looking at network‐based alterations in brain organization and function when investigating the neurobiological basis of this disorder, and stimulate further research into potential familial protective factors against the development of OCD.
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Affiliation(s)
- Samantha Baldi
- Department of Psychiatry and Neuropsychology, School for Mental Health and Neuroscience, Maastricht University, Maastricht, Netherlands
| | - Stijn Michielse
- Department of Neurosurgery, School for Mental Health and Neuroscience, Maastricht University, Maastricht, Netherlands
| | - Chris Vriend
- Department of Anatomy and Neurosciences, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam Neuroscience, Amsterdam, Netherlands.,Department of Psychiatry, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam Neuroscience, Amsterdam, Netherlands
| | - Martijn P van den Heuvel
- Department of Complex Trait Genetics, Center for Neurogenomics and Cognitive Research, Vrije Universiteit Amsterdam, Amsterdam, Netherlands
| | - Odile A van den Heuvel
- Department of Anatomy and Neurosciences, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam Neuroscience, Amsterdam, Netherlands.,Department of Psychiatry, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam Neuroscience, Amsterdam, Netherlands
| | - Koen R J Schruers
- Department of Psychiatry and Neuropsychology, School for Mental Health and Neuroscience, Maastricht University, Maastricht, Netherlands
| | - Liesbet Goossens
- Department of Psychiatry and Neuropsychology, School for Mental Health and Neuroscience, Maastricht University, Maastricht, Netherlands
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11
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Peng Z, Yang X, Xu C, Wu X, Yang Q, Wei Z, Zhou Z, Verguts T, Chen Q. Aberrant rich club organization in patients with obsessive-compulsive disorder and their unaffected first-degree relatives. Neuroimage Clin 2022; 32:102808. [PMID: 34500426 PMCID: PMC8430383 DOI: 10.1016/j.nicl.2021.102808] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/22/2021] [Revised: 08/23/2021] [Accepted: 08/24/2021] [Indexed: 01/20/2023]
Abstract
Recent studies suggested that the rich club organization promoting global brain communication and integration of information, may be abnormally increased in obsessive-compulsive disorder (OCD). However, the structural and functional basis of this organization is still not very clear. Given the heritability of OCD, as suggested by previous family-based studies, we hypothesize that aberrant rich club organization may be a trait marker for OCD. In the present study, 32 patients with OCD, 30 unaffected first-degree relatives (FDR) and 32 healthy controls (HC) underwent diffusion tensor imaging (DTI) and functional magnetic resonance imaging (fMRI). We examined the structural rich club organization and its interrelationship with functional coupling. Our results showed that rich club and peripheral connection strength in patients with OCD was lower than in HC, while it was intermediate in FDR. Finally, the coupling between structural and functional connections of the rich club, was decreased in FDR but not in OCD relative to HC, which suggests a buffering mechanism of brain functions in FDR. Overall, our findings suggest that alteration of the rich club organization may reflect a vulnerability biomarker for OCD, possibly buffered by structural and functional coupling of the rich club.
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Affiliation(s)
- Ziwen Peng
- Key Laboratory of Brain, Cognition and Education Sciences, Ministry of Education China, School of Psychology, Center for Studies of Psychological Application, And Guangdong Key Laboratory of Mental Health and Cognitive Science, South China Normal University, China.
| | - Xinyi Yang
- Key Laboratory of Brain, Cognition and Education Sciences, Ministry of Education China, School of Psychology, Center for Studies of Psychological Application, And Guangdong Key Laboratory of Mental Health and Cognitive Science, South China Normal University, China
| | - Chuanyong Xu
- Key Laboratory of Brain, Cognition and Education Sciences, Ministry of Education China, School of Psychology, Center for Studies of Psychological Application, And Guangdong Key Laboratory of Mental Health and Cognitive Science, South China Normal University, China
| | - Xiangshu Wu
- Key Laboratory of Brain, Cognition and Education Sciences, Ministry of Education China, School of Psychology, Center for Studies of Psychological Application, And Guangdong Key Laboratory of Mental Health and Cognitive Science, South China Normal University, China
| | - Qiong Yang
- Southern Medical University, Guangzhou, China; Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou, China
| | - Zhen Wei
- Department of Child Psychiatry and Rehabilitation, Affiliated Shenzhen Maternity & Child Healthcare Hospital, Southern Medical University, Shenzhen, China
| | - Zihan Zhou
- Key Laboratory of Brain, Cognition and Education Sciences, Ministry of Education China, School of Psychology, Center for Studies of Psychological Application, And Guangdong Key Laboratory of Mental Health and Cognitive Science, South China Normal University, China
| | - Tom Verguts
- Department of Experimental Psychology, Ghent University, Ghent, Belgium
| | - Qi Chen
- Key Laboratory of Brain, Cognition and Education Sciences, Ministry of Education China, School of Psychology, Center for Studies of Psychological Application, And Guangdong Key Laboratory of Mental Health and Cognitive Science, South China Normal University, China.
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12
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Michael JA, Wang M, Kaur M, Fitzgerald PB, Fitzgibbon BM, Hoy KE. EEG correlates of attentional control in anxiety disorders: A systematic review of error-related negativity and correct-response negativity findings. J Affect Disord 2021; 291:140-153. [PMID: 34038831 DOI: 10.1016/j.jad.2021.04.049] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/10/2020] [Revised: 03/08/2021] [Accepted: 04/26/2021] [Indexed: 12/25/2022]
Abstract
BACKGROUND Anxiety disorders are highly prevalent and cause substantial personal, social and economic burden. Altered attentional control has been shown to be present across anxiety disorders and is associated with specific changes in brain activity which can be recorded by electroencephalogram (EEG). These include changes in the EEG markers of error-related negativity (ERN) and correct-response negativity (CRN), both believed to reflect response monitoring and attentional control pathophysiology in anxiety. The aim of this review was to systematically assess the research on ERN and CRN in attentional control in individuals with clinical anxiety and healthy controls, across emotional and non-emotional attentional control. METHODS A comprehensive literature search was conducted for studies published prior to October 22nd, 2020. Details of the protocol for this systematic review were registered on PROSPERO (CRD42019144885). RESULTS 66 studies had their data extracted. All 66 studies measured ERN, with 85% finding significantly increased ERN amplitudes associated with clinical anxiety. Only 44 of the extracted studies analysed CRN and only ~20% of these found significant changes in CRN amplitude associated with individuals with clinical anxiety. LIMITATIONS There were several anxiety disorders that had either limited literature (i.e. specific phobia, separation anxiety disorder or agoraphobia) or nil literature (i.e. selective mutism) available. No extracted studies included samples of older adults (i.e. aged 60+ years), and only six extracted studies included measures of emotional attentional control. CONCLUSIONS Findings indicate the promising utility of ERN of attentional control as a robust, transdiagnostic trait marker of clinical anxiety.
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Affiliation(s)
- Jessica A Michael
- Epworth Centre for Innovation in Mental Health, Epworth Healthcare and Department of Psychiatry, Monash University, 888 Toorak Rd, Camberwell, Victoria, Australia.
| | - Michael Wang
- Epworth Centre for Innovation in Mental Health, Epworth Healthcare and Department of Psychiatry, Monash University, 888 Toorak Rd, Camberwell, Victoria, Australia
| | - Manreena Kaur
- Epworth Centre for Innovation in Mental Health, Epworth Healthcare and Department of Psychiatry, Monash University, 888 Toorak Rd, Camberwell, Victoria, Australia; Neuroscience Research Australia, Sydney, New South Wales, Australia; School of Psychiatry, University of New South Wales, Sydney, New South Wales, Australia
| | - Paul B Fitzgerald
- Epworth Centre for Innovation in Mental Health, Epworth Healthcare and Department of Psychiatry, Monash University, 888 Toorak Rd, Camberwell, Victoria, Australia
| | - Bernadette M Fitzgibbon
- Epworth Centre for Innovation in Mental Health, Epworth Healthcare and Department of Psychiatry, Monash University, 888 Toorak Rd, Camberwell, Victoria, Australia
| | - Kate E Hoy
- Epworth Centre for Innovation in Mental Health, Epworth Healthcare and Department of Psychiatry, Monash University, 888 Toorak Rd, Camberwell, Victoria, Australia
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13
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Peng Z, Guo Y, Wu X, Yang Q, Wei Z, Seger CA, Chen Q. Abnormal brain functional network dynamics in obsessive-compulsive disorder patients and their unaffected first-degree relatives. Hum Brain Mapp 2021; 42:4387-4398. [PMID: 34089285 PMCID: PMC8356985 DOI: 10.1002/hbm.25555] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/29/2021] [Revised: 05/14/2021] [Accepted: 05/26/2021] [Indexed: 01/01/2023] Open
Abstract
We utilized dynamic functional network connectivity (dFNC) analysis to compare participants with obsessive–compulsive disorder (OCD) with their unaffected first‐degree relative (UFDR) and healthy controls (HC). Resting state fMRI was performed on 46 OCD, 24 UFDR, and 49 HCs, along with clinical assessments. dFNC analyses revealed two distinct connectivity states: a less frequent, integrated state characterized by the predominance of between‐network connections (State I), and a more frequent, segregated state with strong within‐network connections (State II). OCD patients spent more time in State II and less time in State I than HC, as measured by fractional windows and mean dwell time. Time in each state for the UFDR were intermediate between OCD patients and HC. Within the OCD group, fractional windows of time spent in State I was positively correlated with OCD symptoms (as measured by the obsessive compulsive inventory‐revised [OCI‐R], r = .343, p<.05, FDR correction) and time in State II was negatively correlated with symptoms (r = −.343, p<.05, FDR correction). Within each state we also examined connectivity within and between established intrinsic connectivity networks, and found that UFDR were similar to the OCD group in State I, but more similar to the HC groups in State II. The similarities between OCD and UFDR groups in temporal properties and State I connectivity indicate that these features may reflect the endophenotype for OCD. These results indicate that the temporal dynamics of functional connectivity could be a useful biomarker to identify those at risk.
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Affiliation(s)
- Ziwen Peng
- Key Laboratory of Brain, Cognition and Education Sciences, Ministry of Education, 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
| | - Ya Guo
- Key Laboratory of Brain, Cognition and Education Sciences, Ministry of Education, 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
| | - Xiangshu Wu
- Key Laboratory of Brain, Cognition and Education Sciences, Ministry of Education, 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
| | - Qiong Yang
- Department of Psychiatry, Southern Medical University, Guangzhou, China.,Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou, China
| | - Zhen Wei
- Department of Child Psychiatry and Rehabilitation, 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, 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
- Key Laboratory of Brain, Cognition and Education Sciences, Ministry of Education, 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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14
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Peris TS, Salgari G, Perez J, Jurgiel J, Vreeland A, O'Neill J, Chang S, Piacentini J, Loo SK. Shared and unique neural mechanisms underlying pediatric trichotillomania and obsessive compulsive disorder. Psychiatry Res 2021; 298:113653. [PMID: 33621723 DOI: 10.1016/j.psychres.2020.113653] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/29/2020] [Accepted: 12/12/2020] [Indexed: 01/07/2023]
Abstract
BACKGROUND Little is known about the neural underpinnings of pediatric trichotillomania (TTM). We examined error-related negativity (ERN)-amplitude and theta-EEG power differences among youth with TTM, OCD, and healthy controls (HC). METHODS Forty channel EEG was recorded from 63 pediatric participants (22 with TTM, 22 with OCD, and 19 HC) during the Eriksen Flanker Task. EEG data from inhibitory control were used to derive estimates of ERN amplitude and event-related spectral power associated with motor inhibition. RESULTS TTM and HC were similar in brain activity patterns in frontal and central regions and TTM and OCD were similar in the parietal region. Frontal ERN-amplitude was significantly larger in OCD relative to TTM and HC, who did not differ from each other. The TTM group had higher theta power compared to OCD in frontal and central regions, and higher theta than both comparison groups in right motor cortex and superior parietal regions. Within TTM, flanker task performance was correlated with EEG activity in frontal, central, and motor cortices whereas global functioning and impairment were associated with EEG power in bilateral motor and parietal cortices. CONCLUSIONS Findings are discussed in terms of shared and unique neural mechanisms in TTM and OCD and treatment implications.
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Affiliation(s)
- Tara S Peris
- Division of Child & Adolescent Psychiatry, Jane & Terry Semel Institute for Neuroscience at UCLA, Los Angeles, CA 90024, United States.
| | - Giulia Salgari
- Department of Psychology, University of Central Florida, United States
| | - Jocelyn Perez
- Division of Child & Adolescent Psychiatry, Jane & Terry Semel Institute for Neuroscience at UCLA, Los Angeles, CA 90024, United States
| | - Joseph Jurgiel
- Division of Child & Adolescent Psychiatry, Jane & Terry Semel Institute for Neuroscience at UCLA, Los Angeles, CA 90024, United States
| | | | - Joseph O'Neill
- Division of Child & Adolescent Psychiatry, Jane & Terry Semel Institute for Neuroscience at UCLA, Los Angeles, CA 90024, United States
| | - Susanna Chang
- Division of Child & Adolescent Psychiatry, Jane & Terry Semel Institute for Neuroscience at UCLA, Los Angeles, CA 90024, United States
| | - John Piacentini
- Division of Child & Adolescent Psychiatry, Jane & Terry Semel Institute for Neuroscience at UCLA, Los Angeles, CA 90024, United States
| | - Sandra K Loo
- Division of Child & Adolescent Psychiatry, Jane & Terry Semel Institute for Neuroscience at UCLA, Los Angeles, CA 90024, United States
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15
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Wang P, Cao W, Chen T, Gao J, Liu Y, Yang X, Meng F, Sun J, Li Z. Mediating Role of Rumination and Negative Affect in the Effect of Mind-Wandering on Symptoms in Patients With Obsessive-Compulsive Disorder. Front Psychiatry 2021; 12:755159. [PMID: 34721118 PMCID: PMC8551573 DOI: 10.3389/fpsyt.2021.755159] [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: 08/08/2021] [Accepted: 09/20/2021] [Indexed: 11/13/2022] Open
Abstract
To explore the relationship between negative affect, mind-wandering, rumination and obsessive-compulsive symptoms, 100 patients with obsessive-compulsive disorder and 100 healthy controls were assessed using the Obsessive-Compulsive Inventory, the Beck Anxiety Inventory, the Beck Depression Inventory, the Mind Wandering Scale and the Ruminative Response Scale. The results show that (i) patients diagnosed with obsessive-compulsive disorder displayed higher obsessive-compulsive symptoms, negative affect, mind-wandering and rumination compared with healthy controls; (ii) negative affect, mind-wandering and rumination were positively correlated with the severity of obsessive-compulsive symptoms; (iii) mind-wandering predicted the severity of obsessive-compulsive symptoms (both directly and indirectly); (iv) rumination and negative affect mediated the relationship between mind-wandering and obsessive-compulsive symptoms. The results preliminarily reveal the relationship between mind-wandering and psychopathological obsessive-compulsive symptoms, providing a reference for exploring novel psychological treatments for obsessive-compulsive disorder.
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Affiliation(s)
- Pengchong Wang
- Beijing Key Laboratory of Mental Disorders, National Clinical Research Centre for Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, China.,Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, China
| | - Wenwen Cao
- Beijing Key Laboratory of Mental Disorders, National Clinical Research Centre for Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, China.,Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, China
| | - Tao Chen
- Brain and Mind Center, The University of Sydney, Sydney, NSW, Australia.,School of Psychology, The University of Sydney, Sydney, NSW, Australia
| | - Jian Gao
- Beijing Key Laboratory of Mental Disorders, National Clinical Research Centre for Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, China.,Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, China
| | - Yifan Liu
- Beijing Key Laboratory of Mental Disorders, National Clinical Research Centre for Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, China.,Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, China
| | - Xiangyun Yang
- Beijing Key Laboratory of Mental Disorders, National Clinical Research Centre for Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, China.,Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, China
| | - Fanqiang Meng
- Beijing Key Laboratory of Mental Disorders, National Clinical Research Centre for Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, China.,Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, China
| | - Jing Sun
- Menzies Health Institute Queensland and School of Medicine and Dentistry, Griffith University, Brisbane, QLD, Australia
| | - Zhanjiang Li
- Beijing Key Laboratory of Mental Disorders, National Clinical Research Centre for Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, China.,Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, China
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16
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Abstract
In the last 20 years, functional magnetic resonance imaging (fMRI) has been extensively used to investigate system-level abnormalities in the brain of patients with obsessive-compulsive disorder (OCD). In this chapter, we start by reviewing the studies assessing regional brain differences between patients with OCD and healthy controls in task-based fMRI. Specifically, we review studies on executive functioning and emotional processing, protocols in which these patients have been described to show alterations at the behavioral level, as well as research using symptom provocation protocols. Next, we review studies on brain connectivity alterations, focusing on resting-state studies evaluating disruptions in fronto-subcortical functional connectivity and in cortical networks. Likewise, we also review research on effective connectivity, which, different from functional connectivity, allows for ascertaining the directionality of inter-regional connectivity alterations. We conclude by reviewing the most significant findings on a topic of translational impact, such as the use of different fMRI measurements to predict response across a variety of treatment approaches. Overall, results suggest that there exists a pattern of regions, involving, but not limited to, different nodes of the cortico-striatal-thalamo-cortical circuits, showing robust evidence of functional alteration across studies, although the nature of the alterations critically depends on the specific tasks and their particular demands. Moreover, such findings have been, to date, poorly translated into clinical practice. It is suggested that this may be partially accounted for by the difficulty to integrate into a common framework results obtained under a wide variety of analysis approaches.
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Affiliation(s)
- Carles Soriano-Mas
- Department of Psychiatry, Bellvitge University Hospital, Bellvitge Biomedical Research Institute-IDIBELL, Barcelona, Spain. .,Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Barcelona, Spain. .,Department of Psychobiology and Methodology of Health Sciences, Universitat Autònoma de Barcelona, Barcelona, Spain.
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17
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Murayama K, Tomiyama H, Tsuruta S, Ohono A, Kang M, Hasuzawa S, Mizobe T, Kato K, Togao O, Hiwatashi A, Nakao T. Aberrant Resting-State Cerebellar-Cerebral Functional Connectivity in Unmedicated Patients With Obsessive-Compulsive Disorder. Front Psychiatry 2021; 12:659616. [PMID: 33967861 PMCID: PMC8102723 DOI: 10.3389/fpsyt.2021.659616] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/27/2021] [Accepted: 03/29/2021] [Indexed: 01/05/2023] Open
Abstract
Background: Although abnormality of cerebellar-cerebral functional connectivity at rest in obsessive-compulsive disorder (OCD) has been hypothesized, only a few studies have investigated the neural mechanism. To verify the findings of previous studies, a large sample of patients with OCD was studied because OCD shows possible heterogeneity. Methods: Forty-seven medication-free patients with OCD and 62 healthy controls (HCs) underwent resting-state functional magnetic imaging scans. Seed-based connectivity was examined to investigate differences in cerebellar-cerebral functional connectivity in OCD patients compared with HCs. Correlations between functional connectivity and the severity of obsessive-compulsive symptoms were analyzed. Results: In OCD, we found significantly increased functional connectivity between the right lobule VI and the left precuneus, which is a component of the default mode network (DMN), compared to HCs. However, there was no correlation between the connectivity of the right lobule VI-left precuneus and obsessive-compulsive severity. Conclusions: These findings suggest that altered functional connectivity between the cerebellum and DMN might cause changes in intrinsic large-scale brain networks related to the traits of OCD.
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Affiliation(s)
- Keitaro Murayama
- Department of Neuropsychiatry, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
| | - Hirofumi Tomiyama
- Department of Neuropsychiatry, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
| | - Sae Tsuruta
- Graduate School of Human-Environment Studies, Kyushu University, Fukuoka, Japan.,Karatsu Red Cross Hospital, Karatsu, Japan
| | - Aikana Ohono
- Graduate School of Human-Environment Studies, Kyushu University, Fukuoka, Japan
| | - Mingi Kang
- Graduate School of Human-Environment Studies, Kyushu University, Fukuoka, Japan
| | - Suguru Hasuzawa
- Department of Neuropsychiatry, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
| | - Taro Mizobe
- Department of Neuropsychiatry, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
| | - Kenta Kato
- Department of Neuropsychiatry, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
| | - Osamu Togao
- Department of Clinical Radiology, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
| | - Akio Hiwatashi
- Department of Clinical Radiology, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
| | - Tomohiro Nakao
- Department of Neuropsychiatry, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
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18
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Increased cerebellar-default-mode network connectivity at rest in obsessive-compulsive disorder. Eur Arch Psychiatry Clin Neurosci 2020; 270:1015-1024. [PMID: 31570980 DOI: 10.1007/s00406-019-01070-5] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/20/2019] [Accepted: 09/18/2019] [Indexed: 12/20/2022]
Abstract
Abnormalities of the cerebellum and default-mode network (DMN) in patients with obsessive-compulsive disorder (OCD) have been widely reported. However, alterations of reciprocal functional connections between the cerebellum and DMN at rest in OCD remain unclear. Forty patients with OCD and 38 gender-, age-, and education-matched healthy controls (HCs) underwent resting-state functional magnetic resonance imaging scan. Seed-based functional connectivity (FC) and support vector machine (SVM) were applied to analyze the imaging data. Compared with HCs, patients with OCD exhibited increased FCs between the left Crus I-left superior medial prefrontal cortex (MPFC) and between the right Crus I-left superior MPFC, left middle MPFC, and left middle temporal gyrus (MTG). A significantly negative correlation was observed between the right Crus I-left MTG connectivity and the Yale-Brown Obsessive-Compulsive Scale compulsion subscale scores in the OCD group (r = - 0.476, p = 0.002, Bonferroni corrected). SVM classification analysis indicated that a combination of the left Crus I-left superior MPFC connectivity and the right Crus I-left middle MPFC connectivity can be used to discriminate patients with OCD from HCs with a sensitivity of 85.00%, specificity of 68.42%, and accuracy of 76.92%. Our study highlights the contribution of the cerebellar-DMN connectivity in OCD pathophysiology and provides new findings to OCD research.
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19
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Lammers AR, Abid S, Ding P, German RZ. Effects of Superior Laryngeal Nerve Lesion on Kinematics of Swallowing and Airway Protection in an Infant Pig Model. Dysphagia 2020; 35:907-917. [PMID: 32140904 DOI: 10.1007/s00455-020-10100-7] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/06/2019] [Accepted: 02/20/2020] [Indexed: 10/24/2022]
Abstract
The superior laryngeal nerve provides detailed sensory information from the mucosal surfaces of laryngeal structures superior to the vocal folds, including the valleculae. Injury to this nerve results in airway penetration and aspiration. Furthermore, such injuries might have an impact on the function of multiple structures involved in intraoral transport and swallowing due to connections within the brainstem. We sought to determine the effects of a surgical lesion of the superior laryngeal nerve on kinematics of the tongue, hyoid, and epiglottis during swallowing. We implanted radio-opaque markers into five infant pigs under anesthesia. Then we fed milk mixed with contrast agent to the pigs while they were recorded via video fluoroscopy, before and after a surgery to transect the superior laryngeal nerve. We digitized and rated airway protection in 177 swallows. We found that in most animals, swallow duration was shorter after nerve lesion. The hyoid also traveled a shorter distance after lesion. Frequently, individuals reacted differently to the same nerve lesion. We suggest that these differences are due to individual differences in neurological connections. When comparing hyoid kinematics between swallows with successful or failed airway protection, we found more consistency among individuals. This indicates that protecting the airway requires specific sets of kinematic events to occur, regardless of the neurological differences among individuals.
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Affiliation(s)
- Andrew R Lammers
- School of Health Sciences, Cleveland State University, 2121 Euclid Ave, Cleveland, OH, 44115, USA.
- Department of Anatomy and Neurobiology, Northeast Ohio Medical University, Rootstown, OH, 44272, USA.
| | - Saja Abid
- School of Health Sciences, Cleveland State University, 2121 Euclid Ave, Cleveland, OH, 44115, USA
| | - Peng Ding
- Johns Hopkins Medicine International, 601 N. Caroline Street Suite 1080, Baltimore, MD, 21287, USA
| | - Rebecca Z German
- Department of Anatomy and Neurobiology, Northeast Ohio Medical University, Rootstown, OH, 44272, USA
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20
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Wang YM, Cai XL, Zhou HY, Zhang RT, Zhang YJ, Wang YY, Cheung EFC, Chan RCK. Altered default mode network functional connectivity in individuals with co-occurrence of schizotypy and obsessive-compulsive traits. Psychiatry Res Neuroimaging 2020; 305:111170. [PMID: 32836136 DOI: 10.1016/j.pscychresns.2020.111170] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/05/2019] [Revised: 07/03/2020] [Accepted: 07/28/2020] [Indexed: 11/21/2022]
Abstract
In this study, we examined differences in resting-state functional connectivity between sub-regions of the Default Mode Network (DMN) and whole brain voxels in 22 individuals with high schizo-obsessive traits (SOT), 30 with high schizotypal traits (SCT) alone, 20 with high obsessive-compulsive traits (OCT) alone and 30 with low trait scores (LT). We found that the SOT group showed the most reduced functional connectivity within the DMN compared with the other groups. The SOT group also showed increased connectivity between the DMN and the Salience Network, and between the DMN and the Auditory Network compared with the LT group. The SCT group exhibited increased connectivity between the DMN and the Salience Network, and between the DMN and the Executive Control Network (ECN) compared with the LT group. The OCT group exhibited decreased connectivity within the DMN, between the DMN and the Salience Network, and between the DMN and the ECN compared with the LT group. These findings highlight different changes in DMN-related functional connectivity associated with high SOT, SCT and OCT traits and may provide insight into the dysfunctional brain networks in the early stage of schizophrenia spectrum disorders.
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Affiliation(s)
- Yong-Ming Wang
- Neuropsychology and Applied Cognitive Neuroscience Laboratory, CAS Key Laboratory of Mental Health, Institute of Psychology, Beijing, 100101, PR China; Sino-Danish College, University of Chinese Academy of Sciences, Beijing, 100190, PR China; Sino-Danish Center for Education and Research, Beijing, 100190, PR China; Department of Psychology, University of Chinese Academy of Sciences, Beijing, PR China
| | - Xin-Lu Cai
- Neuropsychology and Applied Cognitive Neuroscience Laboratory, CAS Key Laboratory of Mental Health, Institute of Psychology, Beijing, 100101, PR China; Sino-Danish College, University of Chinese Academy of Sciences, Beijing, 100190, PR China; Sino-Danish Center for Education and Research, Beijing, 100190, PR China; Department of Psychology, University of Chinese Academy of Sciences, Beijing, PR China
| | - Han-Yu Zhou
- Neuropsychology and Applied Cognitive Neuroscience Laboratory, CAS Key Laboratory of Mental Health, Institute of Psychology, Beijing, 100101, PR China; Department of Psychology, University of Chinese Academy of Sciences, Beijing, PR China
| | - Rui-Ting Zhang
- Neuropsychology and Applied Cognitive Neuroscience Laboratory, CAS Key Laboratory of Mental Health, Institute of Psychology, Beijing, 100101, PR China; Department of Psychology, University of Chinese Academy of Sciences, Beijing, PR China
| | - Yi-Jing Zhang
- Neuropsychology and Applied Cognitive Neuroscience Laboratory, CAS Key Laboratory of Mental Health, Institute of Psychology, Beijing, 100101, PR China; Department of Psychology, University of Chinese Academy of Sciences, Beijing, PR China
| | - Yan-Yu Wang
- Neuropsychology and Applied Cognitive Neuroscience Laboratory, CAS Key Laboratory of Mental Health, Institute of Psychology, Beijing, 100101, PR China; Department of Psychology, University of Chinese Academy of Sciences, Beijing, PR China
| | - Eric F C Cheung
- Castle Peak Hospital, Hong Kong Special Administrative Region, PR China
| | - Raymond C K Chan
- Neuropsychology and Applied Cognitive Neuroscience Laboratory, CAS Key Laboratory of Mental Health, Institute of Psychology, Beijing, 100101, PR China; Sino-Danish College, University of Chinese Academy of Sciences, Beijing, 100190, PR China; Sino-Danish Center for Education and Research, Beijing, 100190, PR China; Department of Psychology, University of Chinese Academy of Sciences, Beijing, PR China.
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21
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Intelligence quotient level and treatment of obsessive-compulsive disorders: Meta-analyses. Med Hypotheses 2020; 144:109995. [DOI: 10.1016/j.mehy.2020.109995] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/08/2020] [Revised: 06/04/2020] [Accepted: 06/11/2020] [Indexed: 11/22/2022]
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22
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Beucke JC, Simon D, Sepulcre J, Talukdar T, Feusner JD, Kaufmann C, Kathmann N. Heightened degree connectivity of the striatum in obsessive-compulsive disorder induced by symptom provocation. J Affect Disord 2020; 276:1069-1076. [PMID: 32768879 DOI: 10.1016/j.jad.2020.07.062] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/06/2020] [Revised: 06/10/2020] [Accepted: 07/05/2020] [Indexed: 01/21/2023]
Abstract
BACKGROUND Neurosurgical intervention studies have provided direct evidence that the ventral striatum/nucleus accumbens (NAc) mediates symptoms of obsessive-compulsive disorder (OCD), yet meta-analysis of functional neuroimaging studies using symptom provocation revealed no striatal activation differences, and the existing studies reporting hyperactivity found abnormalities in dorsal but not ventral striatal subdivisions. Resting-state neuroimaging evidence holds that corticostriatal areas are more connected both locally and to distant regions, but the functional inferences to be drawn from these altered network characteristics regarding the present experience of OCD symptoms remain limited. METHODS The present study tested whether symptom provocation induces abnormally high striatal network connectivity using two independent datasets of unmedicated patients with OCD. One study (14 patients, 14 matched controls) required passive viewing of OC-related, emotionally aversive and neutral pictures, the other (21 patients, 21 controls) involved self-referential evaluation of the same picture types, as well as distraction from these stimuli (engagement in a simple task). RESULTS Heightened local connectivity of the dorsal striatum occurred during passive viewing of briefly presented OC-related pictures in patients, however group differences were also observed in a neutral control condition. In contrast, distracted symptom provocation selectively yielded local connectivity differences of the ventral striatum, as heightened NAc connectivity to its immediate neighborhood was exclusively observed when OC-related pictures were accompanied by concurrent task demands. LIMITATIONS Small samples sizes. CONCLUSIONS In moderately affected patients with OCD, symptom provocation induces a discrete, condition-specific network abnormality anchored in NAc, the location targeted by deep brain stimulation for refractory patients with OCD.
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Affiliation(s)
- Jan C Beucke
- Department of Psychology, Humboldt-Universität zu Berlin, Berlin, Germany; Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden.
| | - Daniela Simon
- Department of Psychology, Humboldt-Universität zu Berlin, Berlin, Germany
| | - Jorge Sepulcre
- Department of Radiology, Massachusetts General Hospital, Boston, MA, United States
| | - Tanveer Talukdar
- Decision Neuroscience Laboratory, Beckman Institute, Urbana, IL, United States
| | - Jamie D Feusner
- Department of Psychiatry and Biobehavioral Sciences, University of California Los Angeles, Los Angeles, CA, USA
| | - Christian Kaufmann
- Department of Psychology, Humboldt-Universität zu Berlin, Berlin, Germany
| | - Norbert Kathmann
- Department of Psychology, Humboldt-Universität zu Berlin, Berlin, Germany
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23
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Kwak S, Kim M, Kim T, Kwak Y, Oh S, Lho SK, Moon SY, Lee TY, Kwon JS. Defining data-driven subgroups of obsessive-compulsive disorder with different treatment responses based on resting-state functional connectivity. Transl Psychiatry 2020; 10:359. [PMID: 33106472 PMCID: PMC7589530 DOI: 10.1038/s41398-020-01045-4] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/07/2020] [Revised: 09/07/2020] [Accepted: 09/09/2020] [Indexed: 12/18/2022] Open
Abstract
Characterization of obsessive-compulsive disorder (OCD), like other psychiatric disorders, suffers from heterogeneities in its symptoms and therapeutic responses, and identification of more homogeneous subgroups may help to resolve the heterogeneity. We aimed to identify the OCD subgroups based on resting-state functional connectivity (rsFC) and to explore their differences in treatment responses via a multivariate approach. From the resting-state functional MRI data of 107 medication-free OCD patients and 110 healthy controls (HCs), we selected rsFC features, which discriminated OCD patients from HCs via support vector machine (SVM) analyses. With the selected brain features, we subdivided OCD patients into subgroups using hierarchical clustering analyses. We identified 35 rsFC features that achieved a high sensitivity (82.74%) and specificity (76.29%) in SVM analyses. The OCD patients were subdivided into two subgroups, which did not show significant differences in their demographic and clinical backgrounds. However, one of the OCD subgroups demonstrated more impaired rsFC that was involved either within the default mode network (DMN) or between DMN brain regions and other network regions. This subgroup also showed both lower improvements in symptom severity in the 16-week follow-up visit and lower responder percentage than the other subgroup. Our results highlight that not only abnormalities within the DMN but also aberrant rsFC between the DMN and other networks may contribute to the treatment response and support the importance of these neurobiological alterations in OCD patients. We suggest that abnormalities in these connectivity may play predictive biomarkers of treatment response, and aid to build more optimal treatment strategies.
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Affiliation(s)
- Seoyeon Kwak
- Department of Brain and Cognitive Sciences, Seoul National University College of Natural Sciences, Seoul, Republic of Korea
| | - Minah Kim
- Department of Neuropsychiatry, Seoul National University Hospital, Seoul, Republic of Korea
- Department of Psychiatry, Seoul National University College of Medicine, Seoul, Republic of Korea
| | - Taekwan Kim
- Department of Brain and Cognitive Sciences, Seoul National University College of Natural Sciences, Seoul, Republic of Korea
| | - Yoobin Kwak
- Department of Brain and Cognitive Sciences, Seoul National University College of Natural Sciences, Seoul, Republic of Korea
| | - Sanghoon Oh
- Department of Neuropsychiatry, Seoul National University Hospital, Seoul, Republic of Korea
- Department of Psychiatry, Seoul National University College of Medicine, Seoul, Republic of Korea
| | - Silvia Kyungjin Lho
- Department of Neuropsychiatry, Seoul National University Hospital, Seoul, Republic of Korea
- Department of Psychiatry, Seoul National University College of Medicine, Seoul, Republic of Korea
| | - Sun-Young Moon
- Department of Neuropsychiatry, Seoul National University Hospital, Seoul, Republic of Korea
- Department of Psychiatry, Seoul National University College of Medicine, Seoul, Republic of Korea
| | - Tae Young Lee
- Department of Neuropsychiatry, Pusan National University Yangsan Hospital, Yangsan, Republic of Korea
- Institute of Human Behavioral Medicine, SNU-MRC, Seoul, Republic of Korea
| | - Jun Soo Kwon
- Department of Brain and Cognitive Sciences, Seoul National University College of Natural Sciences, Seoul, Republic of Korea.
- Department of Neuropsychiatry, Seoul National University Hospital, Seoul, Republic of Korea.
- Department of Psychiatry, Seoul National University College of Medicine, Seoul, Republic of Korea.
- Institute of Human Behavioral Medicine, SNU-MRC, Seoul, Republic of Korea.
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24
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Dong C, Yang Q, Liang J, Seger CA, Han H, Ning Y, Chen Q, Peng Z. Impairment in the goal-directed corticostriatal learning system as a biomarker for obsessive-compulsive disorder. Psychol Med 2020; 50:1490-1500. [PMID: 31272523 DOI: 10.1017/s0033291719001429] [Citation(s) in RCA: 20] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/29/2022]
Abstract
BACKGROUND Compulsive behaviors in obsessive-compulsive disorder (OCD) have been related to impairment within the associative cortical-striatal system connecting the caudate and prefrontal cortex that underlies consciously-controlled goal-directed learning and behavior. However, little is known whether this impairment may serve as a biomarker for vulnerability to OCD. METHODS Using resting-state functional magnetic resonance imaging (fMRI), we employed Granger causality analysis (GCA) to measure effective connectivity (EC) in previously validated striatal sub-regions, including the caudate, putamen, and the nucleus accumbens, in 35 OCD patients, 35 unaffected first-degree relatives and 35 matched healthy controls. RESULTS Both OCD patients and their first-degree relatives showed greater EC than controls between the left caudate and the orbital frontal cortex (OFC). Both OCD patients and their first-degree relatives showed lower EC than controls between the left caudate and lateral prefrontal cortex. These results are consistent with findings from task-related fMRI studies which found impairment in the goal-directed system in OCD patients. CONCLUSIONS The same changes in EC were present in both OCD patients and their unaffected first-degree relatives suggest that impairment in the goal-directed learning system may be a biomarker for OCD.
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Affiliation(s)
- Chenjie Dong
- Center for the Study of Applied Psychology, Guangdong Key Laboratory of Mental Health and Cognitive Science and School of Psychology, South China Normal University, Guangzhou, China
| | - Qiong Yang
- Southern Medical University, Guangzhou, China
- Affiliated Brain Hospital of Guangzhou Medical University (Guangzhou Huiai Hospital), Guangzhou, China
| | - Jingjing Liang
- Center for the Study of Applied Psychology, Guangdong Key Laboratory of Mental Health and Cognitive Science and School of Psychology, South China Normal University, Guangzhou, China
| | - Carol A Seger
- Center for the Study of Applied Psychology, Guangdong Key Laboratory of Mental Health and Cognitive Science and School of Psychology, South China Normal University, Guangzhou, China
- Department of Psychology, Colorado State University, CO, USA
| | - Hongying Han
- Department of Psychiatry, the Third Affiliated Hospital, Sun Yat-Sen University, Guangzhou, China
| | - Yuping Ning
- Southern Medical University, Guangzhou, China
- Affiliated Brain Hospital of Guangzhou Medical University (Guangzhou Huiai Hospital), Guangzhou, China
| | - Qi Chen
- Center for the Study of Applied Psychology, Guangdong Key Laboratory of Mental Health and Cognitive Science and School of Psychology, South China Normal University, Guangzhou, China
| | - ZiWen Peng
- Center for the Study of Applied Psychology, Guangdong Key Laboratory of Mental Health and Cognitive Science and 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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25
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Cui G, Ou Y, Chen Y, Lv D, Jia C, Zhong Z, Yang R, Wang Y, Meng X, Cui H, Li C, Sun Z, Wang X, Guo W, Li P. Altered Global Brain Functional Connectivity in Drug-Naive Patients With Obsessive-Compulsive Disorder. Front Psychiatry 2020; 11:98. [PMID: 32194450 PMCID: PMC7062961 DOI: 10.3389/fpsyt.2020.00098] [Citation(s) in RCA: 25] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/26/2019] [Accepted: 02/06/2020] [Indexed: 12/14/2022] Open
Abstract
Abnormal functional connectivity (FC) within discrete brain networks is involved in the pathophysiology of obsessive-compulsive disorder (OCD) with inconsistent results. In the present study, we investigated the FC patterns of 40 drug-naive patients with OCD and 38 healthy controls (HCs) through an unbiased voxel-wise global brain FC (GFC) analysis at rest. Compared with HCs, patients with OCD showed decreased GFC within the default mode network (DMN) (i.e., left posterior cingulate cortex/lingual gyrus) and sensorimotor network (i.e., left precentral gyrus/postcentral gyrus) and increased GFC within the executive control network (ECN) (i.e., left dorsal lateral prefrontal cortex and left inferior parietal lobule). Receiver operating characteristic curve analyses further indicated that the altered GFC values within the DMN, ECN, and sensorimotor network may be used as neuroimaging markers to differentiate patients with OCD from HCs. These findings indicated the aberrant FC patterns of the DMN, ECN, and sensorimotor network associated with the pathophysiology of OCD and provided new insights into the changes in brain organization function in OCD.
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Affiliation(s)
- Guangcheng Cui
- Department of Psychiatry, Qiqihar Medical University, Qiqihar, China
| | - Yangpan Ou
- Department of Psychiatry, The Second Xiangya Hospital of Central South University, Changsha, China
| | - Yunhui Chen
- Department of Psychiatry, Qiqihar Medical University, Qiqihar, China
| | - Dan Lv
- Department of Psychiatry, Qiqihar Medical University, Qiqihar, China
| | - Cuicui Jia
- Department of Psychiatry, Qiqihar Medical University, Qiqihar, China
| | - Zhaoxi Zhong
- Henan Key Lab of Biological Psychiatry, The Second Affiliated Hospital of Xinxiang Medical University, Xinxiang, China
| | - Ru Yang
- Department of Radiology, The Second Xiangya Hospital of Central South University, Changsha, China
| | - Yuhua Wang
- Department of Psychiatry, Qiqihar Medical University, Qiqihar, China
| | - Xin Meng
- Department of Radiology, The Third Affiliated Hospital of Qiqihar Medical University, Qiqihar, China
| | - Hongsheng Cui
- Department of Radiology, The Third Affiliated Hospital of Qiqihar Medical University, Qiqihar, China
| | - Chengchong Li
- Department of Psychiatry, Qiqihar Medical University, Qiqihar, China
| | - Zhenghai Sun
- Department of Psychiatry, Qiqihar Medical University, Qiqihar, China
| | - Xiaoping Wang
- Department of Psychiatry, The Second Xiangya Hospital of Central South University, Changsha, China
| | - Wenbin Guo
- Department of Psychiatry, The Second Xiangya Hospital of Central South University, Changsha, China
| | - Ping Li
- Department of Psychiatry, Qiqihar Medical University, Qiqihar, China
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26
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Wang YM, Cai XL, Zhang RT, Wang Y, Madsen KH, Sørensen TA, Møller A, Cheung EFC, Chan RCK. Searchlight classification based on Amplitude of Low Frequency Fluctuation and functional connectivity in individuals with obsessive-compulsive symptoms. Cogn Neuropsychiatry 2019; 24:322-334. [PMID: 31451062 DOI: 10.1080/13546805.2019.1658575] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/20/2023]
Abstract
INTRODUCTION Investigating obsessive-compulsive symptoms in subclinical populations provides a useful framework for understanding the early development of obsessive-compulsive spectrum disorders. The present study aimed to apply searchlight classification analysis on resting-state functional magnetic resonance imaging data to identify potential brain markers in subclinical individuals with obsessive-compulsive symptoms. METHODS In this observational study, 40 college students with high obsessive-compulsive symptom scores and 40 with low obsessive-compulsive symptom scores were recruited from universities in China. We conducted searchlight classification and comparison analysis between the two groups based on Amplitude of Low Frequency Fluctuation (ALFF), fraction ALFF (fALFF) and resting-state functional connectivity using searchlight classification. RESULTS We found that the highest accuracy rate in differentiating between the two groups was 85.00%. Significant discriminating features included the ALFF of the left medial superior frontal gyrus and the functional connectivity between the right thalamus and the bilateral medial superior frontal gyrus, and the right putamen, as well as the functional connectivity between the left caudate and the right insula. CONCLUSIONS These findings highlight the specific and distinguishing brain functional abnormalities associated with obsessive-compulsive symptoms.
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Affiliation(s)
- Yong-Ming Wang
- Neuropsychology and Applied Cognitive Neuroscience Laboratory, CAS Key Laboratory of Mental Health, Institute of Psychology , Beijing , PR People's Republic of China.,Sino-Danish College, University of Chinese Academy of Sciences , Beijing , PR People's Republic of China.,Sino-Danish Center for Education and Research , Beijing , PR People's Republic of China.,Department of Psychology, University of Chinese Academy of Sciences , Beijing , PR People's Republic of China
| | - Xin-Lu Cai
- Neuropsychology and Applied Cognitive Neuroscience Laboratory, CAS Key Laboratory of Mental Health, Institute of Psychology , Beijing , PR People's Republic of China.,Sino-Danish College, University of Chinese Academy of Sciences , Beijing , PR People's Republic of China.,Sino-Danish Center for Education and Research , Beijing , PR People's Republic of China.,Department of Psychology, University of Chinese Academy of Sciences , Beijing , PR People's Republic of China
| | - Rui-Ting Zhang
- Neuropsychology and Applied Cognitive Neuroscience Laboratory, CAS Key Laboratory of Mental Health, Institute of Psychology , Beijing , PR People's Republic of China.,Department of Psychology, University of Chinese Academy of Sciences , Beijing , PR People's Republic of China
| | - Yi Wang
- Neuropsychology and Applied Cognitive Neuroscience Laboratory, CAS Key Laboratory of Mental Health, Institute of Psychology , Beijing , PR People's Republic of China.,Department of Psychology, University of Chinese Academy of Sciences , Beijing , PR People's Republic of China
| | - Kristoffer Hougaard Madsen
- Sino-Danish Center for Education and Research , Beijing , PR People's Republic of China.,Danish Research Centre for Magnetic Resonance, Centre for Functional and Diagnostic Imaging and Research, Copenhagen University Hospital Hvidovre , Hvidovre , Denmark.,Department of Applied Mathematics and Computer Science, Technical University of Denmark , Kongens Lyngby , Denmark
| | - Thomas Alrik Sørensen
- Sino-Danish Center for Education and Research , Beijing , PR People's Republic of China.,Centre for Cognitive Neuroscience, Department of Communication and Psychology, Aalborg University , Aalborg , Denmark
| | - Arne Møller
- Sino-Danish Center for Education and Research , Beijing , PR People's Republic of China.,Department of Nuclear Medicine and PET Centre, Aarhus University Hospital , Aarhus , Denmark
| | - Eric F C Cheung
- Castle Peak Hospital, Hong Kong Special Administrative Region , Hong Kong , PR People's Republic of China
| | - Raymond C K Chan
- Neuropsychology and Applied Cognitive Neuroscience Laboratory, CAS Key Laboratory of Mental Health, Institute of Psychology , Beijing , PR People's Republic of China.,Sino-Danish College, University of Chinese Academy of Sciences , Beijing , PR People's Republic of China.,Sino-Danish Center for Education and Research , Beijing , PR People's Republic of China.,Department of Psychology, University of Chinese Academy of Sciences , Beijing , PR People's Republic of China
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27
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Chen Y, Ou Y, Lv D, Yang R, Li S, Jia C, Wang Y, Meng X, Cui H, Li C, Sun Z, Wang X, Guo W, Li P. Altered network homogeneity of the default-mode network in drug-naive obsessive-compulsive disorder. Prog Neuropsychopharmacol Biol Psychiatry 2019; 93:77-83. [PMID: 30905622 DOI: 10.1016/j.pnpbp.2019.03.008] [Citation(s) in RCA: 25] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/18/2018] [Revised: 02/22/2019] [Accepted: 03/20/2019] [Indexed: 12/21/2022]
Abstract
BACKGROUND Default-mode network (DMN) plays a key role in the pathophysiology of obsessive-compulsive disorder (OCD). However, the network homogeneity (NH) of DMN in OCD remains equivocal. OBJECTIVE This study aimed to investigate abnormalities in the NH of the DMN at rest and the correlation between the NH of DMN and clinical variables in patients with OCD. METHODS This study used the independent component analysis and unbiased hypothesis-driven NH method to analyze the resting-state functional magnetic resonance imaging data of 40 drug-naive patients with OCD and 40 age-, gender-, and education-matched healthy controls (HCs). RESULTS Patients with OCD exhibited decreased NH values in the left ventral medial prefrontal cortex and bilateral posterior cingulate cortex (PCC)/precuneus (PCu) compared with HCs. Furthermore, analyses of receiver operating characteristic curves indicated that the decreased NH values in the right PCC/PCu may be used as a candidate neuroimaging marker to distinguish patients with OCD from HCs. CONCLUSION These findings contribute new evidence of the participation of the altered NH of the DMN in the pathophysiology of OCD. TRIAL REGISTRATION Study on the mechanism of brain network in obsessive-compulsive disorder with multi-model magnetic resonance imaging (ChiCTR-COC-17013301).
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Affiliation(s)
- Yunhui Chen
- Department of Psychiatry, Qiqihar Medical University, Qiqihar, Heilongjiang 161006, China
| | - Yangpan Ou
- Department of Psychiatry, The Second Xiangya Hospital of Central South University, Changsha, Hunan 410011, China
| | - Dan Lv
- Department of Psychiatry, Qiqihar Medical University, Qiqihar, Heilongjiang 161006, China
| | - Ru Yang
- Department of Radiology, The Second Xiangya Hospital of Central South University. Changsha, Hunan 410011, China
| | - Sufang Li
- Department of Psychology, Georgetown University, Washington, DC, USA
| | - Cuicui Jia
- Department of Psychiatry, Qiqihar Medical University, Qiqihar, Heilongjiang 161006, China
| | - Yuhua Wang
- Department of Psychiatry, Qiqihar Medical University, Qiqihar, Heilongjiang 161006, China
| | - Xin Meng
- Department of Radiology, The Third Affiliated Hospital of Qiqihar Medical University, Qiqihar, Heilongjiang Province, China
| | - Hongsheng Cui
- Department of Radiology, The Third Affiliated Hospital of Qiqihar Medical University, Qiqihar, Heilongjiang Province, China
| | - Chengchong Li
- Department of Psychiatry, Qiqihar Medical University, Qiqihar, Heilongjiang 161006, China
| | - Zhenghai Sun
- Department of Psychiatry, Qiqihar Medical University, Qiqihar, Heilongjiang 161006, China
| | - Xiaoping Wang
- Department of Psychiatry, The Second Xiangya Hospital of Central South University, Changsha, Hunan 410011, China
| | - Wenbin Guo
- Department of Psychiatry, The Second Xiangya Hospital of Central South University, Changsha, Hunan 410011, China..
| | - Ping Li
- Department of Psychiatry, Qiqihar Medical University, Qiqihar, Heilongjiang 161006, China..
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28
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Yang X, Hu X, Tang W, Li B, Yang Y, Gong Q, Huang X. Multivariate classification of drug-naive obsessive-compulsive disorder patients and healthy controls by applying an SVM to resting-state functional MRI data. BMC Psychiatry 2019; 19:210. [PMID: 31277632 PMCID: PMC6612132 DOI: 10.1186/s12888-019-2184-6] [Citation(s) in RCA: 21] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/24/2018] [Accepted: 06/13/2019] [Indexed: 02/05/2023] Open
Abstract
BACKGROUND Previous resting-state functional magnetic resonance imaging (rs-fMRI) studies have revealed intrinsic regional activity alterations in obsessive-compulsive disorder (OCD), but those results were based on group analyses, which limits their applicability to clinical diagnosis and treatment at the level of the individual. METHODS We examined fractional amplitude low-frequency fluctuation (fALFF) and applied support vector machine (SVM) to discriminate OCD patients from healthy controls on the basis of rs-fMRI data. Values of fALFF, calculated from 68 drug-naive OCD patients and 68 demographically matched healthy controls, served as input features for the classification procedure. RESULTS The classifier achieved 72% accuracy (p ≤ 0.001). This discrimination was based on regions that included the left superior temporal gyrus, the right middle temporal gyrus, the left supramarginal gyrus and the superior parietal lobule. CONCLUSIONS These results indicate that OCD-related abnormalities in temporal and parietal lobe activation have predictive power for group membership; furthermore, the findings suggest that machine learning techniques can be used to aid in the identification of individuals with OCD in clinical diagnosis.
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Affiliation(s)
- Xi Yang
- 0000 0004 1770 1022grid.412901.fMental Health Center Department of Psychiatry, West China Hospital Sichuan University, Chengdu, China ,Shenzhen Mental Health Center, Shenzhen, China
| | - Xinyu Hu
- 0000 0004 1770 1022grid.412901.fHuaxi MR Research Center (HMRRC) Department of Radiology, West China Hospital Sichuan University, Chengdu, 610041 China
| | - Wanjie Tang
- 0000 0004 1770 1022grid.412901.fMental Health Center Department of Psychiatry, West China Hospital Sichuan University, Chengdu, China
| | - Bin Li
- 0000 0004 1770 1022grid.412901.fMental Health Center Department of Psychiatry, West China Hospital Sichuan University, Chengdu, China
| | - Yanchun Yang
- Mental Health Center Department of Psychiatry, West China Hospital Sichuan University, Chengdu, China.
| | - Qiyong Gong
- Huaxi MR Research Center (HMRRC) Department of Radiology, West China Hospital Sichuan University, Chengdu, 610041, China.
| | - Xiaoqi Huang
- Huaxi MR Research Center (HMRRC) Department of Radiology, West China Hospital Sichuan University, Chengdu, 610041, China.
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Xu T, Zhao Q, Wang P, Fan Q, Chen J, Zhang H, Yang Z, Stein DJ, Wang Z. Altered resting-state cerebellar-cerebral functional connectivity in obsessive-compulsive disorder. Psychol Med 2019; 49:1156-1165. [PMID: 30058519 DOI: 10.1017/s0033291718001915] [Citation(s) in RCA: 41] [Impact Index Per Article: 8.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
Abstract
BACKGROUND The role of the cerebellum in obsessive-compulsive disorder (OCD) has drawn increasing attention. However, the functional connectivity between the cerebellum and the cerebral cortex has not been investigated in OCD, nor has the relationship between such functional connectivity and clinical symptoms. METHODS A total of 27 patients with OCD and 21 healthy controls (HCs) matched on age, sex and education underwent magnetic resonance imaging (MRI). Seed-based connectivity analyses were performed to examine differences in cerebellar-cerebral connectivity in patients with OCD compared with HCs. Associations between functional connectivity and clinical features in OCD were analyzed. RESULTS Compared with HCs, OCD patients showed significantly decreased cerebellar-cerebral functional connectivity in executive control and emotion processing networks. Within the OCD group, decreased functional connectivity in an executive network spanning the right cerebellar Crus I and the inferior parietal lobule was positively correlated with symptom severity, and decreased connectivity in an emotion processing network spanning the left cerebellar lobule VI and the lingual gyrus was negatively correlated with illness duration. CONCLUSIONS Altered functional connectivity between the cerebellum and cerebral networks involved in cognitive-affective processing in patients with OCD provides further evidence for the involvement of the cerebellum in the pathophysiology of OCD, and is consistent with impairment in executive control and emotion regulation in this condition.
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Affiliation(s)
- Tingting Xu
- Shanghai Mental Health Center,Shanghai Jiao Tong University School of Medicine,PR China
| | - Qing Zhao
- Shanghai Mental Health Center,Shanghai Jiao Tong University School of Medicine,PR China
| | - Pei Wang
- Shanghai Mental Health Center,Shanghai Jiao Tong University School of Medicine,PR China
| | - Qing Fan
- Shanghai Mental Health Center,Shanghai Jiao Tong University School of Medicine,PR China
| | - Jue Chen
- Shanghai Mental Health Center,Shanghai Jiao Tong University School of Medicine,PR China
| | - Haiyin Zhang
- Shanghai Mental Health Center,Shanghai Jiao Tong University School of Medicine,PR China
| | - Zhi Yang
- Shanghai Mental Health Center,Shanghai Jiao Tong University School of Medicine,PR China
| | - Dan J Stein
- Department of Psychiatry and South African Medical Research Council Unit on Risk & Resilience in Mental Disorders,University of Cape Town,Cape Town,South Africa
| | - Zhen Wang
- Shanghai Mental Health Center,Shanghai Jiao Tong University School of Medicine,PR China
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Shan PW, Liu W, Liu C, Han Y, Wang L, Chen Q, Tian H, Sun X, Luan S, Lin X, Jiang D, Zhuo C. Aberrant functional connectivity density in patients with treatment-refractory obsessive-compulsive disorder: a pilot study. J Int Med Res 2019; 47:2434-2445. [PMID: 31006380 PMCID: PMC6567710 DOI: 10.1177/0300060518807058] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022] Open
Abstract
Objective Functional connectivity (FC) is altered in patients with obsessive-compulsive disorder (OCD). Most previous studies have focused on the strength of FC in patients with OCD; few have examined the number of functional connections in these patients. The number of functional connections is an important index for assessing aberrant FC. In the present study, we used FC density (FCD) mapping to explore alterations in the number of functional connections in patients with treatment-refractory OCD (TROCD) using the FCD index. Methods Twenty patients with TROCD and 20 patients with OCD in clinical remission were enrolled in the study. Global FCD (gFCD) was adopted to compare the differences between the two groups of patients. Results The gFCD in the left middle temporal gyrus was lower in the patients with TROCD than in those with remitted OCD, suggesting that decreased information processing ability may play a significant role in TROCD. Conclusion The left middle temporal gyrus is a key component of the emotional processing circuit and attentional processing circuit. Decreased information processing ability in this brain region may play a significant role in TROCD; however, further well-designed follow-up studies are needed to support this hypothesis.
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Affiliation(s)
- Pei Wei Shan
- 1 Department of Psychiatry, Wenzhou Seventh People's Hospital, Wenzhou, Zhejiang Province, China
| | - Wei Liu
- 2 Department of Psychiatry, The First Affiliated Hospital of Harbin Medical University, Harbin City, Heilongjiang Province, China
| | - Caixing Liu
- 3 Department of Psychiatry, Qingdao Mental Health Center, Shandong Province, China
| | - Yunyi Han
- 1 Department of Psychiatry, Wenzhou Seventh People's Hospital, Wenzhou, Zhejiang Province, China
| | - Lina Wang
- 4 Department of Psychiatry, Tianjin Anding Hospital, Tianjin Mental Health Center, Tianjin City 300300, China
| | - Qinggang Chen
- 4 Department of Psychiatry, Tianjin Anding Hospital, Tianjin Mental Health Center, Tianjin City 300300, China
| | - Hongjun Tian
- 4 Department of Psychiatry, Tianjin Anding Hospital, Tianjin Mental Health Center, Tianjin City 300300, China
| | - Xiuhai Sun
- 5 Department of Neurology, Zoucheng People's Hospital, Jining Medical University Affiliated to Zoucheng Hospital, Shandong Province, China
| | - Shuxin Luan
- 6 Department of Psychiatry, Jilin University, Jinlin Province, China
| | - Xiaodong Lin
- 1 Department of Psychiatry, Wenzhou Seventh People's Hospital, Wenzhou, Zhejiang Province, China
| | - Deguo Jiang
- 1 Department of Psychiatry, Wenzhou Seventh People's Hospital, Wenzhou, Zhejiang Province, China
| | - Chuanjun Zhuo
- 1 Department of Psychiatry, Wenzhou Seventh People's Hospital, Wenzhou, Zhejiang Province, China.,4 Department of Psychiatry, Tianjin Anding Hospital, Tianjin Mental Health Center, Tianjin City 300300, China
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31
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Wang YM, Zou LQ, Xie WL, Yang ZY, Zhu XZ, Cheung EFC, Sørensen TA, Møller A, Chan RCK. Altered Functional Connectivity of the Default Mode Network in Patients With Schizo-obsessive Comorbidity: A Comparison Between Schizophrenia and Obsessive-compulsive Disorder. Schizophr Bull 2019; 45:199-210. [PMID: 29365198 PMCID: PMC6293227 DOI: 10.1093/schbul/sbx194] [Citation(s) in RCA: 33] [Impact Index Per Article: 6.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Abstract
Clinical and neuroimaging data support the idea that schizo-obsessive comorbidity (SOC), similar to obsessive-compulsive disorder (OCD) and schizophrenia (SCZ), may be a distinct brain disorder. In this study, we examined the strength of resting-state functional connectivity (rsFC) between 19 subregions of the default mode network (DMN) and whole brain voxels in 22 patients with SOC features, 20 patients with SCZ alone, 22 patients with OCD, and 22 healthy controls (HC). The main results demonstrated that patients with SOC exhibited the highest rsFC strength within subregions of the DMN and the lowest rsFC strength between the DMN and subregions of the salience network (SN) compared with the other 3 groups. In addition, compared with HCs, all 3 patient groups exhibited increased rsFC between subregions of the DMN and the executive control network (ECN). The SOC and SCZ group both exhibited increased rsFC between subregions of the DMN and the middle temporal gyrus, but the OCD group exhibited decreased rsFC between them. These findings highlight a specific alteration in functional connectivity in the DMN in patients with SOC, and provide new insights into the dysfunctional brain organization of different mental disorders.
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Affiliation(s)
- Yong-ming Wang
- Neuropsychology and Applied Cognitive Neuroscience Laboratory, CAS Key Laboratory of Mental Health, Institute of Psychology, Beijing, PR China,Sino-Danish College, University of Chinese Academy of Sciences, Beijing, PR China,Sino-Danish Center for Education and Research, Beijing, PR China,Department of Psychology, University of Chinese Academy of Sciences, Beijing, China
| | - Lai-quan Zou
- Neuropsychology and Applied Cognitive Neuroscience Laboratory, CAS Key Laboratory of Mental Health, Institute of Psychology, Beijing, PR China,Department of Psychology, School of Public Health, Southern Medical University (Guangdong Provincial Key Laboratory of Tropical Disease Research), Guangzhou, China
| | - Wen-lan Xie
- Neuropsychology and Applied Cognitive Neuroscience Laboratory, CAS Key Laboratory of Mental Health, Institute of Psychology, Beijing, PR China,Department of Psychology, University of Chinese Academy of Sciences, Beijing, China
| | - Zhuo-ya Yang
- Neuropsychology and Applied Cognitive Neuroscience Laboratory, CAS Key Laboratory of Mental Health, Institute of Psychology, Beijing, PR China,Department of Psychology, University of Chinese Academy of Sciences, Beijing, China
| | - Xiong-zhao Zhu
- Medical Psychological Center, The Second Xiangya Hospital, Central South University, Changsha, China,Medical Psychological Institute of Central South University, Changsha, China
| | - Eric F C Cheung
- Castle Peak Hospital, Hong Kong Special Administrative Region, China
| | - Thomas Alrik Sørensen
- Sino-Danish Center for Education and Research, Beijing, PR China,Centre for Cognitive Neuroscience, Institute of Communication and Psychology, Aalborg University, Aalborg, Denmark
| | - Arne Møller
- Sino-Danish Center for Education and Research, Beijing, PR China,Department of Nuclear Medicine and PET Centre, Aarhus University Hospital, Aarhus, Denmark
| | - Raymond C K Chan
- Neuropsychology and Applied Cognitive Neuroscience Laboratory, CAS Key Laboratory of Mental Health, Institute of Psychology, Beijing, PR China,Sino-Danish College, University of Chinese Academy of Sciences, Beijing, PR China,Sino-Danish Center for Education and Research, Beijing, PR China,Department of Psychology, University of Chinese Academy of Sciences, Beijing, China,To whom correspondence should be addressed; Institute of Psychology, Chinese Academy of Sciences, 16 Lincui Road, Beijing 100101, China; tel/fax: +86-10-64852558; e-mail:
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Bubb EJ, Metzler-Baddeley C, Aggleton JP. The cingulum bundle: Anatomy, function, and dysfunction. Neurosci Biobehav Rev 2018; 92:104-127. [PMID: 29753752 PMCID: PMC6090091 DOI: 10.1016/j.neubiorev.2018.05.008] [Citation(s) in RCA: 417] [Impact Index Per Article: 69.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/10/2018] [Revised: 05/01/2018] [Accepted: 05/04/2018] [Indexed: 12/16/2022]
Abstract
The cingulum bundle is a prominent white matter tract that interconnects frontal, parietal, and medial temporal sites, while also linking subcortical nuclei to the cingulate gyrus. Despite its apparent continuity, the cingulum's composition continually changes as fibres join and leave the bundle. To help understand its complex structure, this review begins with detailed, comparative descriptions of the multiple connections comprising the cingulum bundle. Next, the impact of cingulum bundle damage in rats, monkeys, and humans is analysed. Despite causing extensive anatomical disconnections, cingulum bundle lesions typically produce only mild deficits, highlighting the importance of parallel pathways and the distributed nature of its various functions. Meanwhile, non-invasive imaging implicates the cingulum bundle in executive control, emotion, pain (dorsal cingulum), and episodic memory (parahippocampal cingulum), while clinical studies reveal cingulum abnormalities in numerous conditions, including schizophrenia, depression, post-traumatic stress disorder, obsessive compulsive disorder, autism spectrum disorder, Mild Cognitive Impairment, and Alzheimer's disease. Understanding the seemingly diverse contributions of the cingulum will require better ways of isolating pathways within this highly complex tract.
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Affiliation(s)
- Emma J Bubb
- School of Psychology, Cardiff University, 70 Park Place, Cardiff, CF10 3AT, Wales, UK
| | | | - John P Aggleton
- School of Psychology, Cardiff University, 70 Park Place, Cardiff, CF10 3AT, Wales, UK.
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33
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Brennan BP, Wang D, Li M, Perriello C, Ren J, Elias JA, Van Kirk NP, Krompinger JW, Pope HG, Haber SN, Rauch SL, Baker JT, Liu H. Use of an Individual-Level Approach to Identify Cortical Connectivity Biomarkers in Obsessive-Compulsive Disorder. BIOLOGICAL PSYCHIATRY: COGNITIVE NEUROSCIENCE AND NEUROIMAGING 2018; 4:27-38. [PMID: 30262337 DOI: 10.1016/j.bpsc.2018.07.014] [Citation(s) in RCA: 23] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/15/2018] [Revised: 07/25/2018] [Accepted: 07/26/2018] [Indexed: 02/05/2023]
Abstract
BACKGROUND Existing functional connectivity studies of obsessive-compulsive disorder (OCD) support a model of circuit dysfunction. However, these group-level observations have failed to yield neuroimaging biomarkers sufficient to serve as a test for the OCD diagnosis, predict current or future symptoms, or predict treatment response, perhaps because these studies failed to account for the substantial intersubject variability in structural and functional brain organization. METHODS We used functional regions, localized in each of 41 individual OCD patients, to identify cortical connectivity biomarkers of both global and dimension-specific symptom severity and to detect functional connections that track changes in symptom severity following intensive residential treatment. RESULTS Global OCD symptom severity was directly linked to dysconnectivity between large-scale intrinsic brain networks-particularly among the dorsal attention, default, and frontoparietal networks. Changes within a subset of connections among these networks were associated with symptom resolution. Additionally, distinct and nonoverlapping cortical connectivity biomarkers were identified that were significantly associated with the severity of contamination/washing and responsibility for harm/checking symptoms, highlighting the contribution of dissociable neural networks to specific OCD symptom dimensions. By contrast, when we defined functional regions conventionally, using a population-level brain atlas, we could no longer identify connectivity biomarkers of severity or improvement for any of the symptom dimensions. CONCLUSIONS Our findings would seem to encourage the use of individual-level approaches to connectivity analyses to better delineate the cortical and subcortical networks underlying symptom severity and improvement at the dimensional level in OCD patients.
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Affiliation(s)
- Brian P Brennan
- Biological Psychiatry Laboratory, McLean Hospital, Belmont, Massachusetts; Obsessive-Compulsive Disorder Institute, McLean Hospital, Belmont, Massachusetts; Department of Psychiatry, Harvard Medical School, Boston, Massachusetts.
| | - Danhong Wang
- Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts
| | - Meiling Li
- Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts; Key Laboratory for NeuroInformation of Ministry of Education, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu
| | - Chris Perriello
- Biological Psychiatry Laboratory, McLean Hospital, Belmont, Massachusetts
| | - Jianxun Ren
- Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts
| | - Jason A Elias
- Obsessive-Compulsive Disorder Institute, McLean Hospital, Belmont, Massachusetts; Department of Psychiatry, Harvard Medical School, Boston, Massachusetts
| | - Nathaniel P Van Kirk
- Obsessive-Compulsive Disorder Institute, McLean Hospital, Belmont, Massachusetts; Department of Psychiatry, Harvard Medical School, Boston, Massachusetts
| | - Jason W Krompinger
- Obsessive-Compulsive Disorder Institute, McLean Hospital, Belmont, Massachusetts; Department of Psychiatry, Harvard Medical School, Boston, Massachusetts
| | - Harrison G Pope
- Biological Psychiatry Laboratory, McLean Hospital, Belmont, Massachusetts; Department of Psychiatry, Harvard Medical School, Boston, Massachusetts
| | - Suzanne N Haber
- Department of Psychiatry, Harvard Medical School, Boston, Massachusetts
| | - Scott L Rauch
- Department of Psychiatry, Harvard Medical School, Boston, Massachusetts
| | - Justin T Baker
- Psychotic Disorders Division, McLean Hospital, Belmont, Massachusetts; Department of Psychiatry, Harvard Medical School, Boston, Massachusetts
| | - Hesheng Liu
- Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts; Beijing Institute for Brain Disorders, Capital Medical University, Beijing, China; Institute for Research and Medical Consultations, Imam Abdulahman Bin Faisal University, Dammam, Saudi Arabia.
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34
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Wang YM, Zou LQ, Xie WL, Yang ZY, Zhu XZ, Cheung EFC, Sørensen TA, Møller A, Chan RCK. Altered grey matter volume and cortical thickness in patients with schizo-obsessive comorbidity. Psychiatry Res Neuroimaging 2018; 276:65-72. [PMID: 29628272 DOI: 10.1016/j.pscychresns.2018.03.009] [Citation(s) in RCA: 21] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/20/2017] [Revised: 03/23/2018] [Accepted: 03/23/2018] [Indexed: 02/05/2023]
Abstract
Recent findings suggest that schizo-obsessive comorbidity (SOC) may be a unique diagnostic entity. We examined grey matter (GM) volume and cortical thickness in 22 patients with SOC, and compared them with 21 schizophrenia (SCZ) patients, 22 obsessive-compulsive disorder (OCD) patients and 22 healthy controls (HCs). We found that patients with SOC exhibited reduced GM volume in the left thalamus, the left inferior semi-lunar lobule of the cerebellum, the bilateral medial orbitofrontal cortex (medial oFC), the medial superior frontal gyrus (medial sFG), the rectus gyrus and the anterior cingulate cortex (aCC) compared with HCs. Patients with SOC also exhibited reduced cortical thickness in the right superior temporal gyrus (sTG), the right angular gyrus, the right supplementary motor area (SMA), the right middle cingulate cortex (mCC) and the right middle occipital gyrus (mOG) compared with HCs. Together with the differences in GM volume and cortical thickness between patients with SOC and patients with only SCZ or only OCD, these findings highlight the GM changes specific to patients with SOC.
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Affiliation(s)
- Yong-Ming Wang
- Neuropsychology and Applied Cognitive Neuroscience Laboratory, CAS Key Laboratory of Mental Health, Institute of Psychology, Beijing 100101, PR China; Sino-Danish College, University of Chinese Academy of Sciences, Beijing 100190, PR China; Sino-Danish Center for Education and Research, Beijing 100190, PR China; Department of Psychology, University of Chinese Academy of Sciences, Beijing, PR China
| | - Lai-Quan Zou
- Neuropsychology and Applied Cognitive Neuroscience Laboratory, CAS Key Laboratory of Mental Health, Institute of Psychology, Beijing 100101, PR China; Department of Psychology, School of Public Health, Southern Medical University (Guangdong Provincial Key Laboratory of Tropical Disease Research), Guangzhou, Guangdong, PR China
| | - Wen-Lan Xie
- Neuropsychology and Applied Cognitive Neuroscience Laboratory, CAS Key Laboratory of Mental Health, Institute of Psychology, Beijing 100101, PR China; Department of Psychology, University of Chinese Academy of Sciences, Beijing, PR China
| | - Zhuo-Ya Yang
- Neuropsychology and Applied Cognitive Neuroscience Laboratory, CAS Key Laboratory of Mental Health, Institute of Psychology, Beijing 100101, PR China; Department of Psychology, University of Chinese Academy of Sciences, Beijing, PR China
| | - Xiong-Zhao Zhu
- Medical Psychological Center, The Second Xiangya Hospital, Central South University, Changsha, Hunan 410011, PR China; Medical Psychological Institute of Central South University, Changsha, Hunan 410011, PR China
| | - Eric F C Cheung
- Castle Peak Hospital, Hong Kong Special Administrative Region, PR China
| | - Thomas Alrik Sørensen
- Sino-Danish Center for Education and Research, Beijing 100190, PR China; Centre for Cognitive Neuroscience, Institute of Communication and Psychology, Aalborg University, Denmark
| | - Arne Møller
- Sino-Danish Center for Education and Research, Beijing 100190, PR China; Department of Nuclear Medicine and PET Centre, Aarhus University Hospital, Denmark; Centre of Functionally Integrative Neuroscience, Aarhus University, Denmark
| | - Raymond C K Chan
- Neuropsychology and Applied Cognitive Neuroscience Laboratory, CAS Key Laboratory of Mental Health, Institute of Psychology, Beijing 100101, PR China; Sino-Danish College, University of Chinese Academy of Sciences, Beijing 100190, PR China; Sino-Danish Center for Education and Research, Beijing 100190, PR China; Department of Psychology, University of Chinese Academy of Sciences, Beijing, PR China.
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35
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Gürsel DA, Avram M, Sorg C, Brandl F, Koch K. Frontoparietal areas link impairments of large-scale intrinsic brain networks with aberrant fronto-striatal interactions in OCD: a meta-analysis of resting-state functional connectivity. Neurosci Biobehav Rev 2018; 87:151-160. [DOI: 10.1016/j.neubiorev.2018.01.016] [Citation(s) in RCA: 102] [Impact Index Per Article: 17.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/20/2017] [Revised: 01/18/2018] [Accepted: 01/29/2018] [Indexed: 01/01/2023]
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Reggente N, Moody TD, Morfini F, Sheen C, Rissman J, O'Neill J, Feusner JD. Multivariate resting-state functional connectivity predicts response to cognitive behavioral therapy in obsessive-compulsive disorder. Proc Natl Acad Sci U S A 2018; 115:2222-2227. [PMID: 29440404 PMCID: PMC5834692 DOI: 10.1073/pnas.1716686115] [Citation(s) in RCA: 81] [Impact Index Per Article: 13.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023] Open
Abstract
Cognitive behavioral therapy (CBT) is an effective treatment for many with obsessive-compulsive disorder (OCD). However, response varies considerably among individuals. Attaining a means to predict an individual's potential response would permit clinicians to more prudently allocate resources for this often stressful and time-consuming treatment. We collected resting-state functional magnetic resonance imaging from adults with OCD before and after 4 weeks of intensive daily CBT. We leveraged machine learning with cross-validation to assess the power of functional connectivity (FC) patterns to predict individual posttreatment OCD symptom severity. Pretreatment FC patterns within the default mode network and visual network significantly predicted posttreatment OCD severity, explaining up to 67% of the variance. These networks were stronger predictors than pretreatment clinical scores. Results have clinical implications for developing personalized medicine approaches to identifying individual OCD patients who will maximally benefit from intensive CBT.
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Affiliation(s)
- Nicco Reggente
- Department of Psychology, University of California, Los Angeles, CA 90095;
| | - Teena D Moody
- Department of Psychiatry and Biobehavioral Sciences, David Geffen School of Medicine at University of California, Los Angeles, CA 90095
| | - Francesca Morfini
- Department of Psychiatry and Biobehavioral Sciences, David Geffen School of Medicine at University of California, Los Angeles, CA 90095
| | - Courtney Sheen
- Department of Psychiatry and Biobehavioral Sciences, David Geffen School of Medicine at University of California, Los Angeles, CA 90095
| | - Jesse Rissman
- Department of Psychology, University of California, Los Angeles, CA 90095
- Department of Psychiatry and Biobehavioral Sciences, David Geffen School of Medicine at University of California, Los Angeles, CA 90095
| | - Joseph O'Neill
- Division of Child and Adolescent Psychiatry, David Geffen School of Medicine at University of California, Los Angeles, CA 90095
| | - Jamie D Feusner
- Department of Psychiatry and Biobehavioral Sciences, David Geffen School of Medicine at University of California, Los Angeles, CA 90095
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Rasgon A, Lee WH, Leibu E, Laird A, Glahn D, Goodman W, Frangou S. Neural correlates of affective and non-affective cognition in obsessive compulsive disorder: A meta-analysis of functional imaging studies. Eur Psychiatry 2017; 46:25-32. [PMID: 28992533 DOI: 10.1016/j.eurpsy.2017.08.001] [Citation(s) in RCA: 36] [Impact Index Per Article: 5.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/03/2017] [Accepted: 08/04/2017] [Indexed: 01/28/2023] Open
Abstract
Obsessive compulsive disorder (OCD) is characterized by intrusive thoughts and repetitive ritualistic behaviors and has been associated with diverse functional brain abnormalities. We sought to synthesize current evidence from functional magnetic resonance imaging (fMRI) studies and examine their alignment to pathogenetic models of OCD. Following systematic review, we identified 54 task-fMRI studies published in the last decade comparing adults with OCD (n=1186) to healthy adults (n=1159) using tasks of affective and non-affective cognition. We used voxel-based quantitative meta-analytic methods to combine primary data on anatomical coordinates of case-control differences, separately for affective and non-affective tasks. We found that functional abnormalities in OCD cluster within cortico-striatal thalamic circuits. Within these circuits, the abnormalities identified showed significant dependence on the affective or non-affective nature of the tasks employed as circuit probes. In studies using affective tasks, patients overactivated regions involved in salience, arousal and habitual responding (anterior cingulate cortex, insula, caudate head and putamen) and underactivated regions implicated in cognitive and behavioral control (medial prefrontal cortex, posterior caudate). In studies using non-affective cognitive tasks, patients overactivated regions involved in self-referential processing (precuneus, posterior cingulate cortex) and underactivated subcortical regions that support goal-directed cognition and motor control (pallidum, ventral anterior thalamus, posterior caudate). The overall pattern suggests that OCD-related brain dysfunction involves increased affective and self-referential processing, enhanced habitual responding and blunted cognitive control.
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Affiliation(s)
- A Rasgon
- Department of psychiatry, Icahn school of medicine, 1425, Madison avenue, 10029 New York, Mount Sinai, USA
| | - W H Lee
- Department of psychiatry, Icahn school of medicine, 1425, Madison avenue, 10029 New York, Mount Sinai, USA
| | - E Leibu
- Department of psychiatry, Icahn school of medicine, 1425, Madison avenue, 10029 New York, Mount Sinai, USA
| | - A Laird
- Neuroinformatics and brain connectivity laboratory, Florida international university, Florida, USA
| | - D Glahn
- Division of neurocognition, neurocomputation, and neurogenetics, Yale university, New Haven, CT, USA
| | - W Goodman
- Menninger department of psychiatry and behavioral sciences, Baylor college of medicine, Waco, TX, USA
| | - S Frangou
- Department of psychiatry, Icahn school of medicine, 1425, Madison avenue, 10029 New York, Mount Sinai, USA.
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Hu X, Du M, Chen L, Li L, Zhou M, Zhang L, Liu Q, Lu L, Mreedha K, Huang X, Gong Q. Meta-analytic investigations of common and distinct grey matter alterations in youths and adults with obsessive-compulsive disorder. Neurosci Biobehav Rev 2017; 78:91-103. [PMID: 28442404 DOI: 10.1016/j.neubiorev.2017.04.012] [Citation(s) in RCA: 53] [Impact Index Per Article: 7.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/10/2015] [Revised: 04/15/2017] [Accepted: 04/15/2017] [Indexed: 02/05/2023]
Abstract
Obsessive-compulsive disorder (OCD) is a disabling illness with onset generally in childhood. OCD-youths differ from OCD-adults with regard to gender distribution, comorbidity patterns and treatment options. However, little is known about the neural correlate differences underpin those two populations. The current meta-analysis summarizes voxel based morphometry findings to elucidate whether differences of neural correlates exist between these two populations. Both OCD-youths and OCD-adults demonstrated greater striatal volume and smaller prefrontal grey matter volume (GMV). However, smaller GMV in left visual cortex was observed in OCD-youths only, while smaller GMV in anterior cingulate gyrus and greater GMV in cerebellum were demonstrated only in OCD-adults. Meta-regression showed greater GMV in left putamen was most prominent in samples with higher percentages of medicated OCD-adults. Our findings confirmed the most consistent GMV alterations in OCD were in prefrontal-striatal circuitry. Besides, other regions may involve at different developmental stages including deficits of visual cortex in OCD-youths and abnormalities of limbic-cerebellar circuit in OCD-adults. Medication effect may be more pronounced in the striatum, especially the putamen.
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Affiliation(s)
- Xinyu Hu
- Huaxi MR Research Centre(HMRRC), Department of Radiology, West China Hospital of Sichuan University, Chengdu, China
| | - Mingying Du
- Department of Radiology, Sichuan Cancer Hospital & Institute, Sichuan Cancer Center, School of Medicine, University of Electronic Science and Technology of China, Chengdu, China
| | - Lizhou Chen
- Huaxi MR Research Centre(HMRRC), Department of Radiology, West China Hospital of Sichuan University, Chengdu, China
| | - Lei Li
- Huaxi MR Research Centre(HMRRC), Department of Radiology, West China Hospital of Sichuan University, Chengdu, China
| | - Ming Zhou
- Huaxi MR Research Centre(HMRRC), Department of Radiology, West China Hospital of Sichuan University, Chengdu, China
| | - Lianqing Zhang
- Huaxi MR Research Centre(HMRRC), Department of Radiology, West China Hospital of Sichuan University, Chengdu, China
| | - Qi Liu
- Huaxi MR Research Centre(HMRRC), Department of Radiology, West China Hospital of Sichuan University, Chengdu, China
| | - Lu Lu
- Huaxi MR Research Centre(HMRRC), Department of Radiology, West China Hospital of Sichuan University, Chengdu, China
| | - Kunal Mreedha
- Huaxi MR Research Centre(HMRRC), Department of Radiology, West China Hospital of Sichuan University, Chengdu, China
| | - Xiaoqi Huang
- Huaxi MR Research Centre(HMRRC), Department of Radiology, West China Hospital of Sichuan University, Chengdu, China.
| | - Qiyong Gong
- Huaxi MR Research Centre(HMRRC), Department of Radiology, West China Hospital of Sichuan University, Chengdu, China.
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Patterns of Default Mode Network Deactivation in Obsessive Compulsive Disorder. Sci Rep 2017; 7:44468. [PMID: 28287615 PMCID: PMC5347382 DOI: 10.1038/srep44468] [Citation(s) in RCA: 31] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/26/2016] [Accepted: 02/09/2017] [Indexed: 11/08/2022] Open
Abstract
The objective of the present study was to research the patterns of Default Mode Network (DMN) deactivation in Obsessive Compulsive Disorder (OCD) in the transition between a resting and a non-rest emotional condition. Twenty-seven participants, 15 diagnosed with OCD and 12 healthy controls (HC), underwent a functional neuroimaging paradigm in which DMN brain activation in a resting condition was contrasted with activity during a non-rest condition consisting in the presentation of emotionally pleasant and unpleasant images. Results showed that HC, when compared with OCD, had a significant deactivation in two anterior nodes of the DMN (medial frontal and superior frontal) in the non-rest pleasant stimuli condition. Additional analysis for the whole brain, contrasting the resting condition with all the non-rest conditions grouped together, showed that, compared with OCD, HC had a significantly deactivation of a widespread brain network (superior frontal, insula, middle and superior temporal, putamen, lingual, cuneus, and cerebellum). Concluding, the present study found that OCD patients had difficulties with the deactivation of DMN even when the non-rest condition includes the presentation of emotional provoking stimuli, particularly evident for images with pleasant content.
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Coutinho J, Goncalves OF, Soares JM, Marques P, Sampaio A. Alterations of the default mode network connectivity in obsessive-compulsive personality disorder: A pilot study. Psychiatry Res Neuroimaging 2016; 256:1-7. [PMID: 27591486 DOI: 10.1016/j.pscychresns.2016.08.007] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/14/2016] [Revised: 07/26/2016] [Accepted: 08/17/2016] [Indexed: 12/22/2022]
Abstract
Obsessive-compulsive personality (OCPD) disorder is characterized by a pattern of excessive self-control, perfectionism and behavioral and cognitive rigidity. Despite the fact that OCPD is the most common personality disorder in the general population, published studies looking at the brain correlates of this disorder are practically nonexistent. The main goal of this study was to analyze the presence of brain alterations in OCPD when compared to healthy controls, specifically at the level of the Default Mode Network (DMN). The DMN is a well-established resting state network which was found to be associated with psychological processes that may play a key role in OCPD (e.g., self-awareness, episodic future thinking and mental simulation). Ten individuals diagnosed with OCPD and ten healthy controls underwent a clinical assessment interview and a resting-state functional magnetic resonance imaging (fMRI) acquisition. The results show that OCPD patients presented an increased functional connectivity in the precuneus (i.e., a posterior node of the DMN), known to be involved in the retrieval manipulation of past events in order to solve current problems and develop plans for the future. These results suggest that this key node of the DMN may play an important role in the pathophysiology of OCPD.
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Affiliation(s)
- Joana Coutinho
- Neuropsychophysiology Lab, CIPsi, School of Psychology, University of Minho, Campus de Gualtar, 4710-057 Braga, Portugal.
| | - Oscar Filipe Goncalves
- Neuropsychophysiology Lab, CIPsi, School of Psychology, University of Minho, Campus de Gualtar, 4710-057 Braga, Portugal; Department of Counseling and Applied Educational Psychology, Bouvé College of Health Sciences, Northeastern University, Boston, MA, USA; Spaulding Center of Neuromodulation, Department of Physical Medicine & Rehabilitation, Spaulding Rehabilitation Hospital and Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - José Miguel Soares
- Life and Health Sciences Research Institute, University of Minho, Braga, Portugal; ICVS-3Bs PT Government Associate Laboratory, Braga, Guimarães, Portugal
| | - Paulo Marques
- Life and Health Sciences Research Institute, University of Minho, Braga, Portugal; ICVS-3Bs PT Government Associate Laboratory, Braga, Guimarães, Portugal
| | - Adriana Sampaio
- Neuropsychophysiology Lab, CIPsi, School of Psychology, University of Minho, Campus de Gualtar, 4710-057 Braga, Portugal
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Gonçalves ÓF, Carvalho S, Leite J, Fernandes-Gonçalves A, Carracedo A, Sampaio A. Cognitive and emotional impairments in obsessive-compulsive disorder: Evidence from functional brain alterations. Porto Biomed J 2016; 1:92-105. [PMID: 32258557 DOI: 10.1016/j.pbj.2016.07.005] [Citation(s) in RCA: 28] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022] Open
Abstract
There is a common agreement on the existence of dysfunctional cortico-striatal-thalamus-cortical pathways in OCD. Despite this consensus, recent studies showed that brain regions other than the CSTC loops are needed to understand the complexity and diversity of cognitive and emotional deficits in OCD. This review presents examples of research using functional neuroimaging, reporting abnormal brain processes in OCD that may underlie specific cognitive/executive (inhibitory control, cognitive flexibility, working memory), and emotional impairments (fear/defensive, disgust, guilt, shame). Studies during resting state conditions show that OCD patients have alterations in connectivity not only within the CSTC pathways but also in more extended resting state networks, particularly the default mode network and the fronto-parietal network. Additionally, abnormalities in brain functioning have been found in several cognitive and emotionally task conditions, namely: inhibitory control (e.g., CSTC loops, fronto-parietal networks, anterior cingulate); cognitive flexibility (e.g., CSTC loops, extended temporal, parietal, and occipital regions); working memory (e.g., CSTC loops, frontal parietal networks, dorsal anterior cingulate); fear/defensive (e.g., amygdala, additional brain regions associated with perceptual - parietal, occipital - and higher level cognitive processing - prefrontal, temporal); disgust (e.g., insula); shame (e.g., decrease activity in middle frontal gyrus and increase in frontal, limbic, temporal regions); and guilt (e.g., decrease activity anterior cingulate and increase in frontal, limbic, temporal regions). These findings may contribute to the understanding of OCD as both an emotional (i.e., anxiety) and cognitive (i.e., executive control) disorder.
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Affiliation(s)
- Óscar F Gonçalves
- Neuropsychophysiology Lab, CIPsi, School of Psychology, University of Minho, Braga, Portugal.,Spaulding Center of Neuromodulation, Department of Physical Medicine & Rehabilitation, Spaulding Rehabilitation Hospital and Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA.,Department of Applied Psychology, Bouvé College of Health Sciences, Northeastern University, Boston, USA
| | - Sandra Carvalho
- Neuropsychophysiology Lab, CIPsi, School of Psychology, University of Minho, Braga, Portugal.,Spaulding Center of Neuromodulation, Department of Physical Medicine & Rehabilitation, Spaulding Rehabilitation Hospital and Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Jorge Leite
- Neuropsychophysiology Lab, CIPsi, School of Psychology, University of Minho, Braga, Portugal.,Spaulding Center of Neuromodulation, Department of Physical Medicine & Rehabilitation, Spaulding Rehabilitation Hospital and Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | | | - Angel Carracedo
- Forensic Genetics Unit, Institute of Legal Medicine, Faculty of Medicine, University of Santiago de Compostela, Galicia, Spain
| | - Adriana Sampaio
- Neuropsychophysiology Lab, CIPsi, School of Psychology, University of Minho, Braga, Portugal
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Hu X, Liu Q, Li B, Tang W, Sun H, Li F, Yang Y, Gong Q, Huang X. Multivariate pattern analysis of obsessive-compulsive disorder using structural neuroanatomy. Eur Neuropsychopharmacol 2016; 26:246-254. [PMID: 26708318 DOI: 10.1016/j.euroneuro.2015.12.014] [Citation(s) in RCA: 32] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/09/2014] [Revised: 11/15/2015] [Accepted: 12/01/2015] [Indexed: 02/05/2023]
Abstract
Magnetic resonance imaging (MRI) studies have revealed brain structural abnormalities in obsessive-compulsive disorder (OCD) patients, involving both gray matter (GM) and white matter (WM). However, the results of previous publications were based on average differences between groups, which limited their usages in clinical practice. Therefore, the aim of this study was to examine whether the application of multivariate pattern analysis (MVPA) to high-dimensional structural images would allow accurate discrimination between OCD patients and healthy control subjects (HCS). High-resolution T1-weighted images were acquired from 33 OCD patients and 33 demographically matched HCS in a 3.0 T scanner. Differences in GM and WM volume between OCD and HCS were examined using two types of well-established MVPA techniques: support vector machine (SVM) and Gaussian process classifier (GPC). We also drew a receiver operating characteristic (ROC) curve to evaluate the performance of each classifier. The classification accuracies for both classifiers using GM and WM anatomy were all above 75%. The highest classification accuracy (81.82%, P<0.001) was achieved with the SVM classifier using WM information. Regional brain anomalies with high discriminative power were based on three distributed networks including the fronto-striatal circuit, the temporo-parieto-occipital junction and the cerebellum. Our study illustrated that both GM and WM anatomical features may be useful in differentiating OCD patients from HCS. WM volume using the SVM approach showed the highest accuracy in our population for revealing group differences, which suggested its potential diagnostic role in detecting highly enriched OCD patients at the level of the individual.
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Affiliation(s)
- Xinyu Hu
- Huaxi MR Research Center (HMRRC), Department of Radiology, West China Hospital of Sichuan University, Chengdu, Sichuan Province, China
| | - Qi Liu
- Huaxi MR Research Center (HMRRC), Department of Radiology, West China Hospital of Sichuan University, Chengdu, Sichuan Province, China
| | - Bin Li
- Mental Health Center, Department of Psychiatry, West China Hospital of Sichuan University, Chengdu, Sichuan Province, China
| | - Wanjie Tang
- Mental Health Center, Department of Psychiatry, West China Hospital of Sichuan University, Chengdu, Sichuan Province, China
| | - Huaiqiang Sun
- Huaxi MR Research Center (HMRRC), Department of Radiology, West China Hospital of Sichuan University, Chengdu, Sichuan Province, China
| | - Fei Li
- Huaxi MR Research Center (HMRRC), Department of Radiology, West China Hospital of Sichuan University, Chengdu, Sichuan Province, China
| | - Yanchun Yang
- Mental Health Center, Department of Psychiatry, West China Hospital of Sichuan University, Chengdu, Sichuan Province, China
| | - Qiyong Gong
- Huaxi MR Research Center (HMRRC), Department of Radiology, West China Hospital of Sichuan University, Chengdu, Sichuan Province, China.
| | - Xiaoqi Huang
- Huaxi MR Research Center (HMRRC), Department of Radiology, West China Hospital of Sichuan University, Chengdu, Sichuan Province, China.
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Li R, Liu K, Ma X, Li Z, Duan X, An D, Gong Q, Zhou D, Chen H. Altered Functional Connectivity Patterns of the Insular Subregions in Psychogenic Nonepileptic Seizures. Brain Topogr 2014; 28:636-45. [PMID: 25352166 DOI: 10.1007/s10548-014-0413-3] [Citation(s) in RCA: 42] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/17/2014] [Accepted: 10/20/2014] [Indexed: 10/24/2022]
Abstract
Neuroimaging studies have demonstrated that psychogenic nonepileptic seizures (PNES) are characterized by unstable cognitive-emotional and motor system, which is engaged in hyperactivity of limbic regions and sensorimotor area. The insula, which is a part of the limbic system, includes various subregions with some distinct connectivity patterns separately. However, whether these insular subregions show different connectivity patterns respectively in PNES remains largely unknown. We aimed to investigate the functional connectivity (FC) of insular subregions in PNES and extend the understanding of the complex pathophysiological mechanisms of this disease. A resting-state FC based on the insular subregions were conducted in 18 patients and 20 healthy controls. We examined the differences in FC values between PNES patients and controls using two sample t test. Our results showed patients had significantly stronger FC between insular subregions and sensorimotor network, lingual gyrus, superior parietal gyrus and putamen, which suggested a hyperlink pattern of insular subregions involved in abnormal emotion regulation, cognitive processes and motor function in PNES. Pearson correlation analysis between the mean FC values within abnormal regions and the frequency of PNES further indicated PNES exhibited abnormal functional organization whose stressful emotion of patients have great direct influence on their motor functions. The differentially impaired functional connectivity patterns of insular subregions might provide new insights into the complex neurological mechanism of PNES.
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Affiliation(s)
- Rong Li
- Key Laboratory for Neuroinformation of Ministry of Education, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, 610041, People's Republic of China
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Abstract
Cognitive neuroscience investigates neural responses to cognitive and emotional probes, an approach that has yielded critical insights into the neurobiological mechanisms of psychiatric disorders. This article reviews some of the major findings from neuroimaging studies using a cognitive neuroscience approach to investigate obsessive-compulsive disorder (OCD). It evaluates the consistency of results and interprets findings within the context of OCD symptoms, and proposes a model of OCD involving inflexibility of internally focused cognition. Although further research is needed, this body of work probing cognitive-emotional processes in OCD has already shed considerable light on the underlying mechanisms of the disorder.
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A brain centred view of psychiatric comorbidity in tinnitus: from otology to hodology. Neural Plast 2014; 2014:817852. [PMID: 25018882 PMCID: PMC4074975 DOI: 10.1155/2014/817852] [Citation(s) in RCA: 9] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/30/2014] [Revised: 03/18/2014] [Accepted: 05/05/2014] [Indexed: 11/17/2022] Open
Abstract
Introduction. Comorbid psychiatric disorders are frequent among patients affected by tinnitus. There are mutual clinical influences between tinnitus and psychiatric disorders, as well as neurobiological relations based on partially overlapping hodological and neuroplastic phenomena. The aim of the present paper is to review the evidence of alterations in brain networks underlying tinnitus physiopathology and to discuss them in light of the current knowledge of the neurobiology of psychiatric disorders. Methods. Relevant literature was identified through a search on Medline and PubMed; search terms included tinnitus, brain, plasticity, cortex, network, and pathways. Results. Tinnitus phenomenon results from systemic-neurootological triggers followed by neuronal remapping within several auditory and nonauditory pathways. Plastic reorganization and white matter alterations within limbic system, arcuate fasciculus, insula, salience network, dorsolateral prefrontal cortex, auditory pathways, ffrontocortical, and thalamocortical networks are discussed. Discussion. Several overlapping brain network alterations do exist between tinnitus and psychiatric disorders. Tinnitus, initially related to a clinicoanatomical approach based on a cortical localizationism, could be better explained by an holistic or associationist approach considering psychic functions and tinnitus as emergent properties of partially overlapping large-scale neural networks.
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Zuo XN, Xing XX. Test-retest reliabilities of resting-state FMRI measurements in human brain functional connectomics: a systems neuroscience perspective. Neurosci Biobehav Rev 2014; 45:100-18. [PMID: 24875392 DOI: 10.1016/j.neubiorev.2014.05.009] [Citation(s) in RCA: 467] [Impact Index Per Article: 46.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/17/2014] [Revised: 05/12/2014] [Accepted: 05/15/2014] [Indexed: 12/20/2022]
Abstract
Resting-state functional magnetic resonance imaging (RFMRI) enables researchers to monitor fluctuations in the spontaneous brain activities of thousands of regions in the human brain simultaneously, representing a popular tool for macro-scale functional connectomics to characterize normal brain function, mind-brain associations, and the various disorders. However, the test-retest reliability of RFMRI remains largely unknown. We review previously published papers on the test-retest reliability of voxel-wise metrics and conduct a meta-summary reliability analysis of seven common brain networks. This analysis revealed that the heteromodal associative (default, control, and attention) networks were mostly reliable across the seven networks. Regarding examined metrics, independent component analysis with dual regression, local functional homogeneity and functional homotopic connectivity were the three mostly reliable RFMRI metrics. These observations can guide the use of reliable metrics and further improvement of test-retest reliability for other metics in functional connectomics. We discuss the main issues with low reliability related to sub-optimal design and the choice of data processing options. Future research should use large-sample test-retest data to rectify both the within-subject and between-subject variability of RFMRI measurements and accelerate the application of functional connectomics.
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Affiliation(s)
- Xi-Nian Zuo
- Key Laboratory of Behavioral Science, Institute of Psychology, Chinese Academy of Sciences, Beijing 100101, China; Laboratory for Functional Connectome and Development, Institute of Psychology, Chinese Academy of Sciences, Beijing 100101, China; Magnetic Resonance Imaging Research Center, Institute of Psychology, Chinese Academy of Sciences, Beijing 100101, China.
| | - Xiu-Xia Xing
- College of Applied Sciences, Beijing University of Technology, Beijing 100124, China.
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