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Ding Z, Ding Z, Chen Y, Lv D, Li T, Shang T, Ma J, Zhan C, Yang X, Xiao J, Sun Z, Wang N, Guo W, Li C, Yu Z, Li P. Decreased gray matter volume and dynamic functional alterations in medicine-free obsessive-compulsive disorder. BMC Psychiatry 2023; 23:289. [PMID: 37098479 PMCID: PMC10131325 DOI: 10.1186/s12888-023-04740-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/25/2022] [Accepted: 03/31/2023] [Indexed: 04/27/2023] Open
Abstract
BACKGROUND Previous studies discovered the presence of abnormal structures and functions in the brain regions of patients with obsessive-compulsive disorder (OCD). Nevertheless, whether structural changes in brain regions are coupled with alterations in dynamic functional connectivity (dFC) at rest in medicine-free patients with OCD remains vague. METHODS Three-dimensional T1-weighed magnetic resonance imaging (MRI) and resting-state functional MRI were performed on 50 medicine-free OCD and 50 healthy controls (HCs). Firstly, the differences in gray matter volume (GMV) between OCD and HCs were compared. Then, brain regions with aberrant GMV were used as seeds for dFC analysis. The relationship of altered GMV and dFC with clinical parameters in OCD was explored using partial correlation analysis. Finally, support vector machine was applied to examine whether altered multimodal imaging data might be adopted to distinguish OCD from HCs. RESULTS Our findings indicated that GMV in the left superior temporal gyrus (STG) and right supplementary motor area (SMA) was reduced in OCD, and the dFC between the left STG and the left cerebellum Crus I and left thalamus, and between the right SMA and right dorsolateral prefrontal cortex (DLPFC) and left precuneus was decreased at rest in OCD. The brain regions both with altered GMV and dFC values could discriminate OCD from HCs with the accuracy of 0.85, sensitivity of 0.90 and specificity of 0.80. CONCLUSION The decreased gray matter structure coupling with dynamic function in the left STG and right SMA at rest may be crucial in the pathophysiology of OCD. TRIAL REGISTRATION Study on the mechanism of brain network in obsessive-compulsive disorder with multi-model magnetic resonance imaging (registration date: 08/11/2017; registration number: ChiCTR-COC-17,013,301).
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Affiliation(s)
- Zhenning Ding
- Medical Technology Department, Qiqihar Medical University, Qiqihar, Heilongjiang, 161006, China
| | - Zhipeng Ding
- Medical Technology Department, Qiqihar Medical University, Qiqihar, Heilongjiang, 161006, China
| | - Yunhui Chen
- Department of Psychiatry, Qiqihar Medical University, Qiqihar, Heilongjiang, 161006, China
| | - Dan Lv
- Department of Psychiatry, Qiqihar Medical University, Qiqihar, Heilongjiang, 161006, China
| | - Tong Li
- Department of Psychiatry, Qiqihar Medical University, Qiqihar, Heilongjiang, 161006, China
| | - Tinghuizi Shang
- Department of Psychiatry, Qiqihar Medical University, Qiqihar, Heilongjiang, 161006, China
| | - Jidong Ma
- Department of Psychiatry, Baiyupao Psychiatric Hospital of Harbin, Harbin, Heilongjiang, 150050, China
| | - Chuang Zhan
- Department of Psychiatry, Baiyupao Psychiatric Hospital of Harbin, Harbin, Heilongjiang, 150050, China
| | - Xu Yang
- Medical Technology Department, Qiqihar Medical University, Qiqihar, Heilongjiang, 161006, China
| | - Jian Xiao
- Department of Psychiatry, Qiqihar Medical University, Qiqihar, Heilongjiang, 161006, China
| | - Zhenghai Sun
- Department of Psychiatry, Qiqihar Medical University, Qiqihar, Heilongjiang, 161006, China
| | - Na Wang
- Department of Psychiatry, Qiqihar Medical University, Qiqihar, Heilongjiang, 161006, China
| | - Wenbin Guo
- Department of Psychiatry, and National Clinical Research Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha, Hunan, 410011, China
| | - Chengchong Li
- Department of Psychiatry, Qiqihar Medical University, Qiqihar, Heilongjiang, 161006, China.
| | - Zengyan Yu
- Department of Psychiatry, Qiqihar Medical University, Qiqihar, Heilongjiang, 161006, China.
| | - Ping Li
- Department of Psychiatry, Qiqihar Medical University, Qiqihar, Heilongjiang, 161006, China.
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Tao Q, Dang J, Niu X, Gao X, Zhang M, Yang Z, Xu Y, Yu M, Cheng J, Han S, Zhang Y. White matter microstructural abnormalities and gray matter volume alterations in obsessive-compulsive disorder: A coordinate-based meta-analysis. J Affect Disord 2023; 320:751-761. [PMID: 36174788 DOI: 10.1016/j.jad.2022.09.035] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/06/2022] [Revised: 09/10/2022] [Accepted: 09/15/2022] [Indexed: 02/02/2023]
Abstract
OBJECTIVE A comprehensive meta-analysis using correlated coordinate data to explore abnormalities in white matter (WM) microarchitecture and changes in gray matter volume (GMV) in patients with obsessive-compulsive disorder (OCD). METHODS We reviewed 23 reported studies of diffusion tensor imaging (DTI) in OCD patients. The differences in WM fractional anisotropy (FA) between OCD patients and healthy controls (HCs) were investigated using tract-based spatial statistics (TBSS) and voxel-based analysis (VBA), respectively, and the results of the two methods were compared. In addition, we will explore changes in OCD GMV by analyzing studies (n = 21) using the voxel-based morphometry (VBM) approach and comparing the difference between adults and adolescents. RESULTS In the pooled meta-analysis, WM study results presented that compared with HCs, OCD patients had higher FA in right lenticular nucleus (putamen), and lower FA in corpus callosum (CC), left insula, right cerebellum (hemispheric lobule), right gyrus rectal and left inferior parietal gyri. However, in subgroup analysis, there was a significant difference in FA changes between TBSS and VBA in OCD patients compared with HCs. In addition, we found that the GMV of OCD patients was significantly increased in left striatum and left precentral gyrus, and significantly decreased in right inferior frontal gyrus triangular part, right superior temporal gyrus and right hippocampus. Compared with adolescents, adult patients have increased GMV in left lenticular nucleus putamen. CONCLUSION The meta-analysis showed that OCD patients had abnormal WM microarchitecture and altered GMV. These changes may be closely related to the pathophysiological mechanism of the disease.
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Affiliation(s)
- Qiuying Tao
- Department of Magnetic Resonance Imaging, The First Affiliated Hospital of Zhengzhou University, China; Key Laboratory for Functional Magnetic Resonance Imaging and Molecular Imaging of Henan Province, China; Engineering Technology Research Center for Detection and application of Brain Function of Henan Province, China; Engineering Research Center of Medical Imaging Intelligent Diagnosis and Treatment of Henan Province, China; Key Laboratory of Magnetic Resonance and Brain Function of Henan Province, China; Key Laboratory of Brain Function and Cognitive Magnetic Resonance Imaging of Zhengzhou, China; Key Laboratory of Imaging Intelligence Research Medicine of Henan Province, China
| | - Jinghan Dang
- Department of Magnetic Resonance Imaging, The First Affiliated Hospital of Zhengzhou University, China; Key Laboratory for Functional Magnetic Resonance Imaging and Molecular Imaging of Henan Province, China; Engineering Technology Research Center for Detection and application of Brain Function of Henan Province, China; Engineering Research Center of Medical Imaging Intelligent Diagnosis and Treatment of Henan Province, China; Key Laboratory of Magnetic Resonance and Brain Function of Henan Province, China; Key Laboratory of Brain Function and Cognitive Magnetic Resonance Imaging of Zhengzhou, China; Key Laboratory of Imaging Intelligence Research Medicine of Henan Province, China
| | - Xiaoyu Niu
- Department of Magnetic Resonance Imaging, The First Affiliated Hospital of Zhengzhou University, China; Key Laboratory for Functional Magnetic Resonance Imaging and Molecular Imaging of Henan Province, China; Engineering Technology Research Center for Detection and application of Brain Function of Henan Province, China; Engineering Research Center of Medical Imaging Intelligent Diagnosis and Treatment of Henan Province, China; Key Laboratory of Magnetic Resonance and Brain Function of Henan Province, China; Key Laboratory of Brain Function and Cognitive Magnetic Resonance Imaging of Zhengzhou, China; Key Laboratory of Imaging Intelligence Research Medicine of Henan Province, China
| | - Xinyu Gao
- Department of Magnetic Resonance Imaging, The First Affiliated Hospital of Zhengzhou University, China; Key Laboratory for Functional Magnetic Resonance Imaging and Molecular Imaging of Henan Province, China; Engineering Technology Research Center for Detection and application of Brain Function of Henan Province, China; Engineering Research Center of Medical Imaging Intelligent Diagnosis and Treatment of Henan Province, China; Key Laboratory of Magnetic Resonance and Brain Function of Henan Province, China; Key Laboratory of Brain Function and Cognitive Magnetic Resonance Imaging of Zhengzhou, China; Key Laboratory of Imaging Intelligence Research Medicine of Henan Province, China
| | - Mengzhe Zhang
- Department of Magnetic Resonance Imaging, The First Affiliated Hospital of Zhengzhou University, China; Key Laboratory for Functional Magnetic Resonance Imaging and Molecular Imaging of Henan Province, China; Engineering Technology Research Center for Detection and application of Brain Function of Henan Province, China; Engineering Research Center of Medical Imaging Intelligent Diagnosis and Treatment of Henan Province, China; Key Laboratory of Magnetic Resonance and Brain Function of Henan Province, China; Key Laboratory of Brain Function and Cognitive Magnetic Resonance Imaging of Zhengzhou, China; Key Laboratory of Imaging Intelligence Research Medicine of Henan Province, China
| | - Zhengui Yang
- Department of Magnetic Resonance Imaging, The First Affiliated Hospital of Zhengzhou University, China; Key Laboratory for Functional Magnetic Resonance Imaging and Molecular Imaging of Henan Province, China; Engineering Technology Research Center for Detection and application of Brain Function of Henan Province, China; Engineering Research Center of Medical Imaging Intelligent Diagnosis and Treatment of Henan Province, China; Key Laboratory of Magnetic Resonance and Brain Function of Henan Province, China; Key Laboratory of Brain Function and Cognitive Magnetic Resonance Imaging of Zhengzhou, China; Key Laboratory of Imaging Intelligence Research Medicine of Henan Province, China
| | - Yinhuan Xu
- Department of Magnetic Resonance Imaging, The First Affiliated Hospital of Zhengzhou University, China; Key Laboratory for Functional Magnetic Resonance Imaging and Molecular Imaging of Henan Province, China; Engineering Technology Research Center for Detection and application of Brain Function of Henan Province, China; Engineering Research Center of Medical Imaging Intelligent Diagnosis and Treatment of Henan Province, China; Key Laboratory of Magnetic Resonance and Brain Function of Henan Province, China; Key Laboratory of Brain Function and Cognitive Magnetic Resonance Imaging of Zhengzhou, China; Key Laboratory of Imaging Intelligence Research Medicine of Henan Province, China
| | - Miaomiao Yu
- Department of Magnetic Resonance Imaging, The First Affiliated Hospital of Zhengzhou University, China; Key Laboratory for Functional Magnetic Resonance Imaging and Molecular Imaging of Henan Province, China; Engineering Technology Research Center for Detection and application of Brain Function of Henan Province, China; Engineering Research Center of Medical Imaging Intelligent Diagnosis and Treatment of Henan Province, China; Key Laboratory of Magnetic Resonance and Brain Function of Henan Province, China; Key Laboratory of Brain Function and Cognitive Magnetic Resonance Imaging of Zhengzhou, China; Key Laboratory of Imaging Intelligence Research Medicine of Henan Province, China
| | - Jingliang Cheng
- Department of Magnetic Resonance Imaging, The First Affiliated Hospital of Zhengzhou University, China; Key Laboratory for Functional Magnetic Resonance Imaging and Molecular Imaging of Henan Province, China; Engineering Technology Research Center for Detection and application of Brain Function of Henan Province, China; Engineering Research Center of Medical Imaging Intelligent Diagnosis and Treatment of Henan Province, China; Key Laboratory of Magnetic Resonance and Brain Function of Henan Province, China; Key Laboratory of Brain Function and Cognitive Magnetic Resonance Imaging of Zhengzhou, China; Key Laboratory of Imaging Intelligence Research Medicine of Henan Province, China.
| | - Shaoqiang Han
- Department of Magnetic Resonance Imaging, The First Affiliated Hospital of Zhengzhou University, China; Key Laboratory for Functional Magnetic Resonance Imaging and Molecular Imaging of Henan Province, China; Engineering Technology Research Center for Detection and application of Brain Function of Henan Province, China; Engineering Research Center of Medical Imaging Intelligent Diagnosis and Treatment of Henan Province, China; Key Laboratory of Magnetic Resonance and Brain Function of Henan Province, China; Key Laboratory of Brain Function and Cognitive Magnetic Resonance Imaging of Zhengzhou, China; Key Laboratory of Imaging Intelligence Research Medicine of Henan Province, China.
| | - Yong Zhang
- Department of Magnetic Resonance Imaging, The First Affiliated Hospital of Zhengzhou University, China; Key Laboratory for Functional Magnetic Resonance Imaging and Molecular Imaging of Henan Province, China; Engineering Technology Research Center for Detection and application of Brain Function of Henan Province, China; Engineering Research Center of Medical Imaging Intelligent Diagnosis and Treatment of Henan Province, China; Key Laboratory of Magnetic Resonance and Brain Function of Henan Province, China; Key Laboratory of Brain Function and Cognitive Magnetic Resonance Imaging of Zhengzhou, China; Key Laboratory of Imaging Intelligence Research Medicine of Henan Province, China
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3
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Ivanov I, Boedhoe PSW, Abe Y, Alonso P, Ameis SH, Arnold PD, Balachander S, Baker JT, Banaj N, Bargalló N, Batistuzzo MC, Benedetti F, Beucke JC, Bollettini I, Brem S, Brennan BP, Buitelaar J, Calvo R, Cheng Y, Cho KIK, Dallaspezia S, Denys D, Diniz JB, Ely BA, Feusner JD, Ferreira S, Fitzgerald KD, Fontaine M, Gruner P, Hanna GL, Hirano Y, Hoexter MQ, Huyser C, Ikari K, James A, Jaspers-Fayer F, Jiang H, Kathmann N, Kaufmann C, Kim M, Koch K, Kwon JS, Lázaro L, Liu Y, Lochner C, Marsh R, Martínez-Zalacaín I, Mataix-Cols D, Menchón JM, Minuzzi L, Morer A, Morgado P, Nakagawa A, Nakamae T, Nakao T, Narayanaswamy JC, Nurmi EL, Oh S, Perriello C, Piacentini JC, Picó-Pérez M, Piras F, Piras F, Reddy YCJ, Manrique DR, Sakai Y, Shimizu E, Simpson HB, Soreni N, Soriano-Mas C, Spalletta G, Stern ER, Stevens MC, Stewart SE, Szeszko PR, Tolin DF, van Rooij D, Veltman DJ, van der Werf YD, van Wingen GA, Venkatasubramanian G, Walitza S, Wang Z, Watanabe A, Wolters LH, Xu X, Yun JY, Zarei M, Zhang F, Zhao Q, Jahanshad N, Thomopoulos SI, Thompson PM, Stein DJ, van den Heuvel OA, O'Neill J. Associations of medication with subcortical morphology across the lifespan in OCD: Results from the international ENIGMA Consortium. J Affect Disord 2022; 318:204-216. [PMID: 36041582 DOI: 10.1016/j.jad.2022.08.084] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/12/2022] [Revised: 08/03/2022] [Accepted: 08/22/2022] [Indexed: 11/18/2022]
Abstract
BACKGROUND Widely used psychotropic medications for obsessive-compulsive disorder (OCD) may change the volumes of subcortical brain structures, and differently in children vs. adults. We measured subcortical volumes cross-sectionally in patients finely stratified for age taking various common classes of OCD drugs. METHODS The ENIGMA-OCD consortium sample (1081 medicated/1159 unmedicated OCD patients and 2057 healthy controls aged 6-65) was divided into six successive 6-10-year age-groups. Individual structural MRIs were parcellated automatically using FreeSurfer into 8 regions-of-interest (ROIs). ROI volumes were compared between unmedicated and medicated patients and controls, and between patients taking serotonin reuptake inhibitors (SRIs), tricyclics (TCs), antipsychotics (APs), or benzodiazepines (BZs) and unmedicated patients. RESULTS Compared to unmedicated patients, volumes of accumbens, caudate, and/or putamen were lower in children aged 6-13 and adults aged 50-65 with OCD taking SRIs (Cohen's d = -0.24 to -0.74). Volumes of putamen, pallidum (d = 0.18-0.40), and ventricles (d = 0.31-0.66) were greater in patients aged 20-29 receiving APs. Hippocampal volumes were smaller in patients aged 20 and older taking TCs and/or BZs (d = -0.27 to -1.31). CONCLUSIONS Results suggest that TCs and BZs could potentially aggravate hippocampal atrophy of normal aging in older adults with OCD, whereas SRIs may reduce striatal volumes in young children and older adults. Similar to patients with psychotic disorders, OCD patients aged 20-29 may experience subcortical nuclear and ventricular hypertrophy in relation to APs. Although cross-sectional, present results suggest that commonly prescribed agents exert macroscopic effects on subcortical nuclei of unknown relation to therapeutic response.
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Affiliation(s)
- Iliyan Ivanov
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Premika S W Boedhoe
- Amsterdam UMC, Vrije Universiteit Amsterdam, Department of Psychiatry, Amsterdam Neuroscience, Amsterdam, the Netherlands; Amsterdam UMC, Vrije Universiteit Amsterdam, Department of Anatomy & Neurosciences, Amsterdam Neuroscience, Amsterdam, the Netherlands
| | - Yoshinari Abe
- Department of Psychiatry, Graduate School of Medical Science, Kyoto Prefectural University of Medicine, Kyoto, Japan
| | - Pino Alonso
- Department of Clinical Sciences, Bellvitge Biomedical Research Institute-IDIBELL, CIBERSAM, Bellvitge University Hospital, Barcelona, Spain
| | - Stephanie H Ameis
- The Margaret and Wallace McCain Centre for Child, Youth & Family Mental Health, Campbell Family Mental Health Research Institute, The Centre for Addiction and Mental Health, Department of Psychiatry, Faculty of Medicine, University of Toronto, Toronto, Canada
| | - Paul D Arnold
- The Mathison Centre for Mental Health Research & Education, Hotchkiss Brain Institute, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada
| | - Srinivas Balachander
- Obsessive-Compulsive Disorder (OCD) Clinic, Department of Psychiatry, National Institute of Mental Health & Neurosciences, Bangalore, India
| | - Justin T Baker
- McLean Hospital, Department of Psychiatry, Harvard Medical School, Belmont, MA, USA
| | - Nerisa Banaj
- Laboratory of Neuropsychiatry, Department of Clinical and Behavioral Neurology, IRCCS Santa Lucia Foundation, Rome, Italy
| | - Nuria Bargalló
- Magnetic Resonance Image Core Facility, Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Image Diagnostic Center, Hospital Clinic of Barcelona, Barcelona, Spain
| | - Marcelo C Batistuzzo
- Departamento e Instituto de Psiquiatria do Hospital das Clinicas, IPQ HCFMUSP, Faculdade de Medicina, Universidade de Sao Paulo, SP, Brazil; Department of Methods and Techniques in Psychology, Pontifical Catholic University of Sao Paulo, SP, Brazil
| | - Francesco Benedetti
- Vita-Salute San Raffaele University, Milano, Italy; Departments of Psychiatry and Medical Genetics, IRCCS Scientific Institute Ospedale San Raffaele, Milan, Italy
| | - Jan C Beucke
- Department of Psychology, Humboldt-Universität zu Berlin, Berlin, Germany; Department of Clinical Neuroscience, Centre for Psychiatric Research, Karolinska Institutet, Stockholm, Sweden
| | - Irene Bollettini
- Departments of Psychiatry and Medical Genetics, IRCCS Scientific Institute Ospedale San Raffaele, Milan, Italy
| | - Silvia Brem
- Department of Child and Adolescent Psychiatry and Psychotherapy, Psychiatric Hospital, University of Zurich, Zurich, Switzerland
| | - Brian P Brennan
- McLean Hospital, Department of Psychiatry, Harvard Medical School, Belmont, MA, USA
| | - Jan Buitelaar
- Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, the Netherlands
| | - Rosa Calvo
- Department of Child and Adolescent Psychiatry and Psychology, Hospital Clínic of Barcelona (CIBERSAM), Department of Medicine, University of Barcelona, Barcelona, Spain
| | - Yuqi Cheng
- Department of Psychiatry, First Affiliated Hospital of Kunming Medical University, Kunming, China
| | - Kang Ik K Cho
- Department of Psychiatry, Seoul National University College of Medicine, Seoul, Republic of Korea; Psychiatry Neuroimaging Laboratory, Department of Psychiatry, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA; Department of Brain and Cognitive Sciences, Seoul University College of Natural Science, Seoul, Republic of Korea
| | - Sara Dallaspezia
- Departments of Psychiatry and Medical Genetics, IRCCS Scientific Institute Ospedale San Raffaele, Milan, Italy
| | - Damiaan Denys
- Amsterdam UMC, Vrije Universiteit Amsterdam, Department of Psychiatry, Amsterdam Neuroscience, Amsterdam, the Netherlands
| | - Juliana B Diniz
- Departamento e Instituto de Psiquiatria do Hospital das Clinicas, IPQ HCFMUSP, Faculdade de Medicina, Universidade de Sao Paulo, SP, Brazil
| | - Benjamin A Ely
- Department of Psychiatry and Behavioral Sciences, Albert Einstein College of Medicine, New York, NY, USA
| | - Jamie D Feusner
- Division of Neurosciences & Clinical Translation, Department of Psychiatry, Temerty Faculty of Medicine, University of Toronto, Toronto, ON, Canada; Department of Women's and Children's Health, Karolinska Institutet, Stockholm, Sweden; Staglin IMHRO Center for Cognitive Neuroscience, Jane & Terry Semel institute For Neurosciences, University of California, Los Angeles, CA, USA
| | - Sónia Ferreira
- Life and Health Sciences Research Institute (ICVS), School of Medicine, University of Minho, ICVS/3B's PT Government Associate Laboratory, Clinical Academic Center, Braga, Portugal
| | - Kate D Fitzgerald
- Department of Psychiatry, University of Michigan, Ann Arbor, MI, USA
| | - Martine Fontaine
- Columbia University Irving Medical Center, Columbia University, New York, NY, USA; New York State Psychiatric Institute, New York, NY, USA
| | - Patricia Gruner
- Department of Psychiatry, Yale University School of Medicine, New Haven, CT, USA
| | - Gregory L Hanna
- Department of Psychiatry, University of Michigan, Ann Arbor, MI, USA
| | - Yoshiyuki Hirano
- Research Center for Child Mental Development, Chiba University, Chiba, Japan
| | - Marcelo Q Hoexter
- Departamento e Instituto de Psiquiatria do Hospital das Clinicas, IPQ HCFMUSP, Faculdade de Medicina, Universidade de Sao Paulo, SP, Brazil
| | - Chaim Huyser
- Amsterdam UMC, Vrije Universiteit Amsterdam, Department of Psychiatry, Amsterdam Neuroscience, Amsterdam, the Netherlands; Levvel Academic Center for Child and Adolescent Psychiatry, Amsterdam, the Netherlands
| | - Keisuke Ikari
- Department of Neuropsychiatry, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
| | - Anthony James
- Department of Psychiatry, Oxford University, Oxford, UK
| | - Fern Jaspers-Fayer
- Britsh Columbia Children's Hospital, BC Mental Health and Substance Use Services Research, University of British Columbia, Vancouver, BC, Canada
| | - Hongyan Jiang
- Department of Psychiatry, First Affiliated Hospital of Kunming Medical University, Kunming, China
| | - Norbert Kathmann
- Department of Psychology, Humboldt-Universität zu Berlin, Berlin, Germany
| | - Christian Kaufmann
- Department of Psychology, Humboldt-Universität zu Berlin, Berlin, Germany
| | - Minah Kim
- Department of Psychiatry, Seoul National University College of Medicine, Seoul, Republic of Korea; Department of Neuropsychiatry, Seoul National University Hospital, Seoul, Republic of Korea
| | - Kathrin Koch
- Department of Diagnostic and Interventional Neuroradiology, School of Medicine, Klinikum Rechts der Isar, Technical University of Munich, Germany
| | - Jun Soo Kwon
- Department of Psychiatry, Seoul National University College of Medicine, Seoul, Republic of Korea; Department of Brain and Cognitive Sciences, Seoul University College of Natural Science, Seoul, Republic of Korea; Institute of Human Behavioral Medicine, SNU-MRC, Seoul, Republic of Korea
| | - Luisa Lázaro
- Department of Child and Adolescent Psychiatry and Psychology, Hospital Clínic of Barcelona (CIBERSAM), Department of Medicine, University of Barcelona, Barcelona, Spain
| | - Yanni Liu
- Department of Psychiatry, University of Michigan, Ann Arbor, MI, USA
| | - Christine Lochner
- SAMRC Unit on Anxiety & Stress Disorders, Department of Psychiatry, Stellenbosch University, South Africa
| | - Rachel Marsh
- Columbia University Irving Medical Center, Columbia University, New York, NY, USA; New York State Psychiatric Institute, New York, NY, USA
| | - Ignacio Martínez-Zalacaín
- Department of Clinical Sciences, Bellvitge Biomedical Research Institute-IDIBELL, CIBERSAM, Bellvitge University Hospital, Barcelona, Spain
| | - David Mataix-Cols
- Department of Clinical Neuroscience, Centre for Psychiatric Research, Karolinska Institutet, Stockholm, Sweden
| | - José M Menchón
- Department of Clinical Sciences, Bellvitge Biomedical Research Institute-IDIBELL, CIBERSAM, Bellvitge University Hospital, Barcelona, Spain
| | - Luciano Minuzzi
- Department of Psychiatry and Behavioral Neurosciences, McMaster University, St. Joseph's Health Care, Hamilton, Ontario, Canada
| | - Astrid Morer
- Department of Child and Adolescent Psychiatry and Psychology, Hospital Clínic of Barcelona (CIBERSAM), Department of Medicine, University of Barcelona, Barcelona, Spain
| | - Pedro Morgado
- Life and Health Sciences Research Institute (ICVS), School of Medicine, University of Minho, ICVS/3B's PT Government Associate Laboratory, Clinical Academic Center, Braga, Portugal
| | - Akiko Nakagawa
- Research Center for Child Mental Development, Chiba University, Chiba, Japan
| | - Takashi Nakamae
- Department of Psychiatry, Graduate School of Medical Science, Kyoto Prefectural University of Medicine, Kyoto, Japan
| | - Tomohiro Nakao
- Department of Neuropsychiatry, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
| | - Janardhanan C Narayanaswamy
- Obsessive-Compulsive Disorder (OCD) Clinic, Department of Psychiatry, National Institute of Mental Health & Neurosciences, Bangalore, India
| | - Erika L Nurmi
- Division of Child and Adolescent Psychiatry, Jane & Terry Semel Institute For Neurosciences, University of California, Los Angeles, CA, USA; Staglin IMHRO Center for Cognitive Neuroscience, Jane & Terry Semel institute For Neurosciences, University of California, Los Angeles, CA, USA
| | - Sanghoon Oh
- Department of Psychiatry, Seoul National University College of Medicine, Seoul, Republic of Korea; Department of Psychiatry, Uijeongbu Eulji Medical Center, Eulji University School of Medicine, Gyeonggi-do, Republic of Korea
| | - Chris Perriello
- University of Illinois at Urbana-Champaign, Champaign, IL, USA
| | - John C Piacentini
- Division of Child and Adolescent Psychiatry, Jane & Terry Semel Institute For Neurosciences, University of California, Los Angeles, CA, USA; Staglin IMHRO Center for Cognitive Neuroscience, Jane & Terry Semel institute For Neurosciences, University of California, Los Angeles, CA, USA
| | - Maria Picó-Pérez
- Life and Health Sciences Research Institute (ICVS), School of Medicine, University of Minho, ICVS/3B's PT Government Associate Laboratory, Clinical Academic Center, Braga, Portugal
| | - Fabrizio Piras
- Laboratory of Neuropsychiatry, Department of Clinical and Behavioral Neurology, IRCCS Santa Lucia Foundation, Rome, Italy
| | - Federica Piras
- Laboratory of Neuropsychiatry, Department of Clinical and Behavioral Neurology, IRCCS Santa Lucia Foundation, Rome, Italy
| | - Y C Janardhan Reddy
- Obsessive-Compulsive Disorder (OCD) Clinic, Department of Psychiatry, National Institute of Mental Health & Neurosciences, Bangalore, India
| | - Daniela Rodriguez Manrique
- Department of Diagnostic and Interventional Neuroradiology, School of Medicine, Klinikum Rechts der Isar, Technical University of Munich, Germany
| | - Yuki Sakai
- Department of Psychiatry, Graduate School of Medical Science, Kyoto Prefectural University of Medicine, Kyoto, Japan; ATR Brain Information Communication Research Laboratiry Group, Kyoto, Japan
| | - Eiji Shimizu
- Research Center for Child Mental Development, Chiba University, Chiba, Japan
| | - H Blair Simpson
- Columbia University Irving Medical Center, Columbia University, New York, NY, USA; New York State Psychiatric Institute, New York, NY, USA
| | - Noam Soreni
- Pediatric OCD Consultation Service, Anxiety Treatment and Research Center, Offord Center of Child Studies, Hamilton, Ontario, Canada
| | - Carles Soriano-Mas
- Department of Clinical Sciences, Bellvitge Biomedical Research Institute-IDIBELL, CIBERSAM, Bellvitge University Hospital, Barcelona, Spain; Department of Social Psychology and Quantitative Psychology, Universitat de Barcelona- UB, Barcelona,Spain
| | - Gianfranco Spalletta
- Laboratory of Neuropsychiatry, Department of Clinical and Behavioral Neurology, IRCCS Santa Lucia Foundation, Rome, Italy; Division of Neuropsychiatry, Menninger Department of Psychiatry and Behavioral Science, Baylor College of Medicine, Houston, TX, USA
| | - Emily R Stern
- Department of Psychiatry, New York University Langone School of Medicine, New York, NY, USA
| | - Michael C Stevens
- Institute of Living/Hartford Hospital, Hartford, CT, USA; Yale University School of Medicine, New Haven, CT, USA
| | - S Evelyn Stewart
- Britsh Columbia Children's Hospital, BC Mental Health and Substance Use Services Research, University of British Columbia, Vancouver, BC, Canada
| | - Philip R Szeszko
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - David F Tolin
- Institute of Living/Hartford Hospital, Hartford, CT, USA; Yale University School of Medicine, New Haven, CT, USA
| | - Daan van Rooij
- Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, the Netherlands
| | - Dick J Veltman
- Amsterdam UMC, Vrije Universiteit Amsterdam, Department of Psychiatry, Amsterdam Neuroscience, Amsterdam, the Netherlands
| | - Ysbrand D van der Werf
- Amsterdam UMC, Vrije Universiteit Amsterdam, Department of Psychiatry, Amsterdam Neuroscience, Amsterdam, the Netherlands; Amsterdam UMC, Vrije Universiteit Amsterdam, Department of Anatomy & Neurosciences, Amsterdam Neuroscience, Amsterdam, the Netherlands
| | - Guido A van Wingen
- Amsterdam UMC, Vrije Universiteit Amsterdam, Department of Psychiatry, Amsterdam Neuroscience, Amsterdam, the Netherlands
| | - Ganesan Venkatasubramanian
- Obsessive-Compulsive Disorder (OCD) Clinic, Department of Psychiatry, National Institute of Mental Health & Neurosciences, Bangalore, India
| | - Susanne Walitza
- Department of Child and Adolescent Psychiatry and Psychotherapy, Psychiatric Hospital, University of Zurich, Zurich, Switzerland
| | - Zhen Wang
- Shanghai Mental Health Center Shanghai Jiao Tong University School of Medicine, China
| | - Anri Watanabe
- Department of Psychiatry, Graduate School of Medical Science, Kyoto Prefectural University of Medicine, Kyoto, Japan
| | - Lidewij H Wolters
- Amsterdam UMC, Vrije Universiteit Amsterdam, Department of Psychiatry, Amsterdam Neuroscience, Amsterdam, the Netherlands
| | - Xiufeng Xu
- Department of Psychiatry, First Affiliated Hospital of Kunming Medical University, Kunming, China
| | - Je-Yeon Yun
- Department of Psychiatry, Seoul National University College of Medicine, Seoul, Republic of Korea; Department of Neuropsychiatry, Seoul National University Hospital, Seoul, Republic of Korea
| | - Mojtaba Zarei
- Institute of Medical Science and Technology, Shahid Beheshti University, Tehran, Iran
| | - Fengrui Zhang
- Magnetic Resonance Image Center, First Affiliated Hospital of Kunming Medical University, Kunming, China
| | - Qing Zhao
- Shanghai Mental Health Center Shanghai Jiao Tong University School of Medicine, China
| | - Neda Jahanshad
- Imaging Genetics Center, Stevens Institute for Neuroimaging & Informatics, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Sophia I Thomopoulos
- Imaging Genetics Center, Stevens Institute for Neuroimaging & Informatics, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Paul M Thompson
- Imaging Genetics Center, Stevens Institute for Neuroimaging & Informatics, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Dan J Stein
- SAMRC Unit on Risk & Resilience in Mental Disorders, Department of Psychiatry and Neuroscience Institute, University of Cape Town, South Africa
| | - Odile A van den Heuvel
- Amsterdam UMC, Vrije Universiteit Amsterdam, Department of Psychiatry, Amsterdam Neuroscience, Amsterdam, the Netherlands; Amsterdam UMC, Vrije Universiteit Amsterdam, Department of Anatomy & Neurosciences, Amsterdam Neuroscience, Amsterdam, the Netherlands
| | - Joseph O'Neill
- Division of Child and Adolescent Psychiatry, Jane & Terry Semel Institute For Neurosciences, University of California, Los Angeles, CA, USA; Staglin IMHRO Center for Cognitive Neuroscience, Jane & Terry Semel institute For Neurosciences, University of California, Los Angeles, CA, USA
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4
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Yan H, Shan X, Li H, Liu F, Guo W. Abnormal spontaneous neural activity in hippocampal-cortical system of patients with obsessive-compulsive disorder and its potential for diagnosis and prediction of early treatment response. Front Cell Neurosci 2022; 16:906534. [PMID: 35910254 PMCID: PMC9334680 DOI: 10.3389/fncel.2022.906534] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/28/2022] [Accepted: 06/30/2022] [Indexed: 11/25/2022] Open
Abstract
Early brain functional changes induced by pharmacotherapy in patients with obsessive-compulsive disorder (OCD) in relation to drugs per se or because of the impact of such drugs on the improvement of OCD remain unclear. Moreover, no neuroimaging biomarkers are available for diagnosis of OCD and prediction of early treatment response. We performed a longitudinal study involving 34 patients with OCD and 36 healthy controls (HCs). Patients with OCD received 5-week treatment with paroxetine (40 mg/d). Resting-state functional magnetic resonance imaging (fMRI), regional homogeneity (ReHo), support vector machine (SVM), and support vector regression (SVR) were applied to acquire and analyze the imaging data. Compared with HCs, patients with OCD had higher ReHo values in the right superior temporal gyrus and bilateral hippocampus/parahippocampus/fusiform gyrus/cerebellum at baseline. ReHo values in the left hippocampus and parahippocampus decreased significantly after treatment. The reduction rate (RR) of ReHo values was positively correlated with the RRs of the scores of Yale-Brown Obsessive-Compulsive Scale (Y-BOCS) and obsession. Abnormal ReHo values at baseline could serve as potential neuroimaging biomarkers for OCD diagnosis and prediction of early therapeutic response. This study highlighted the important role of the hippocampal-cortical system in the neuropsychological mechanism underlying OCD, pharmacological mechanism underlying OCD treatment, and the possibility of building models for diagnosis and prediction of early treatment response based on spontaneous activity in the hippocampal-cortical system.
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Affiliation(s)
- Haohao Yan
- Department of Psychiatry, National Clinical Research Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha, China
| | - Xiaoxiao Shan
- Department of Psychiatry, National Clinical Research Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha, China
| | - Huabing Li
- Department of Radiology, The Second Xiangya Hospital of Central South University, Changsha, China
| | - Feng Liu
- Department of Radiology, Tianjin Medical University General Hospital, Tianjin, China
| | - Wenbin Guo
- Department of Psychiatry, National Clinical Research Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha, China
- Department of Psychiatry, The Third People’s Hospital of Foshan, Foshan, China
- Department of Psychiatry, Qiqihar Medical University, Qiqihar, China
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5
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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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6
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Ma Y, Zhao Q, Xu T, Wang P, Gu Q, Wang Z. Resting state functional brain imaging in obsessive-compulsive disorder across genders. World J Biol Psychiatry 2022; 23:191-200. [PMID: 34474645 DOI: 10.1080/15622975.2021.1938669] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/20/2022]
Abstract
OBJECTIVES Epidemiological and clinical gender differences in obsessive-compulsive disorder (OCD) have been reported; however, gender differences in brain functional connectivity and the relationship between resting brain functional imaging and clinical symptoms has not been studied in OCD. METHODS A total of 62 drug-naive patients with OCD (31 males, 31 females) and 60 healthy controls (HCs) (30 males, 30 females) matched for age, sex, and education underwent magnetic resonance imaging. Amplitude of low-frequency fluctuations (ALFF) over the whole brain and seed-based connectivity analyses were evaluated to examine the intrinsic cerebral activity of the subjects. Additionally, associations between functional connectivity and clinical features were analysed. RESULTS Compared to male OCD (mOCD) patients, female OCD (fOCD) patients showed higher ALFF values in the right parahippocampal gyrus. Compared to HCs, fOCD patients showed significantly decreased functional connectivity between the right parahippocampal gyrus and whole brain to the right posterior central gyrus/precentral gyrus/superior temporal gyrus/barycentric lobule and left anterior cuneus. Abnormal functional connectivity was negatively correlated with the Yale-Brown Obsessive-Compulsive Scale, Beck Depression Inventory-II, and Beck Anxiety Inventory total scores. CONCLUSIONS Our results suggest that the right parahippocampal gyrus, which is related to executive control and emotional regulation, may show gender differences in OCD.
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Affiliation(s)
- Yinzhu Ma
- Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, PR China
| | - Qing Zhao
- Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, PR China
| | - Tingting Xu
- Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, PR China
| | - Pei Wang
- Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, PR China
| | - Qiumeng Gu
- Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, PR China
| | - Zhen Wang
- Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, PR China
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7
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Common Grey Matter Reductions in Alcohol Use and Obsessive-Compulsive Disorders: A Metanalysis. BIOLOGICAL PSYCHIATRY GLOBAL OPEN SCIENCE 2021; 2:421-431. [DOI: 10.1016/j.bpsgos.2021.11.010] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/27/2021] [Revised: 11/09/2021] [Accepted: 11/13/2021] [Indexed: 12/21/2022] Open
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8
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Klugah-Brown B, Jiang C, Agoalikum E, Zhou X, Zou L, Yu Q, Becker B, Biswal B. Common abnormality of gray matter integrity in substance use disorder and obsessive-compulsive disorder: A comparative voxel-based meta-analysis. Hum Brain Mapp 2021; 42:3871-3886. [PMID: 34105832 PMCID: PMC8288096 DOI: 10.1002/hbm.25471] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/29/2020] [Revised: 04/21/2021] [Accepted: 04/27/2021] [Indexed: 12/28/2022] Open
Abstract
The objective of the current study is to determine robust transdiagnostic brain structural markers for compulsivity by capitalizing on the increasing number of case‐control studies examining gray matter volume (GMV) alterations in substance use disorders (SUD) and obsessive‐compulsive disorder (OCD). Voxel‐based meta‐analysis within the individual disorders and conjunction analysis were employed to reveal common GMV alterations between SUDs and OCD. Meta‐analytic coordinates and signed brain volumetric maps determining directed (reduced/increased) GMV alterations between the disorder groups and controls served as the primary outcome. The separate meta‐analysis demonstrated that SUD and OCD patients exhibited widespread GMV reductions in frontocortical regions including prefrontal, cingulate, and insular. Conjunction analysis revealed that the left inferior frontal gyrus (IFG) consistently exhibited decreased GMV across all disorders. Functional characterization suggests that the IFG represents a core hub in the cognitive control network and exhibits bidirectional (Granger) causal interactions with the striatum. Only OCD showed increased GMV in the dorsal striatum with higher changes being associated with more severe OCD symptomatology. Together the findings demonstrate robustly decreased GMV across the disorders in the left IFG, suggesting a transdiagnostic brain structural marker. The functional characterization as a key hub in the cognitive control network and casual interactions with the striatum suggest that deficits in inhibitory control mechanisms may promote compulsivity and loss of control that characterize both disorders.
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Affiliation(s)
- Benjamin Klugah-Brown
- The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Laboratory for Neuroinformation, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, Sichuan, China
| | - Chenyang Jiang
- The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Laboratory for Neuroinformation, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, Sichuan, China
| | - Elijah Agoalikum
- The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Laboratory for Neuroinformation, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, Sichuan, China
| | - Xinqi Zhou
- The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Laboratory for Neuroinformation, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, Sichuan, China
| | - Liye Zou
- Exercise & Mental Health Laboratory, School of Psychology, Shenzhen University, Shenzhen, China
| | - Qian Yu
- Exercise & Mental Health Laboratory, School of Psychology, Shenzhen University, Shenzhen, China
| | - Benjamin Becker
- The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Laboratory for Neuroinformation, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, Sichuan, China
| | - Bharat Biswal
- The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Laboratory for Neuroinformation, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, Sichuan, China.,Department of Biomedical Engineering, New Jersey Institute of Technology, Newark, New Jersey, USA
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9
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Ye Q, Zhang Z, Sun W, Fan Q, Li Y. Disrupted functional connectivity of precuneus subregions in obsessive-compulsive disorder. NEUROIMAGE-CLINICAL 2021; 31:102720. [PMID: 34146773 PMCID: PMC8220401 DOI: 10.1016/j.nicl.2021.102720] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 12/31/2020] [Revised: 04/15/2021] [Accepted: 06/04/2021] [Indexed: 12/12/2022]
Abstract
Obsessive-compulsive disorder (OCD) is a chronic and disablingpsychiatric disorder with high lifetime prevalence, yet the underlying pathogenesis remains not fully understood. Increasing neuroimaging evidence has shown that the disrupted activity of brain functional hubs might contribute to the pathophysiology of OCD. Precuneus is an important brain hub which showed structural and functional abnormalities in OCD patients. However, the functional heterogeneity of the precuneus subregion has not been considered and its relation to OCD symptomatology remains to be elucidated. In this paper, a total of 73 unmedicated OCD patients and 79 matched healthy subjects were recruited and the heterogeneous functional connectivities (FCs) of the precuneus subregions were investigated using resting-state functional magnetic resonance imaging. The FC-based subdivision of the precuneus was performed using the K-means clustering algorithm, which led to a tripartite functional parcellation of precuneus. For each subregion, the distinct connectivity pattern with the whole brain was shown, using both voxel-wise and module-wise analysis, respectively. Decreased FC between dorsal posterior precuneus and vermis (corrected p<0.01) was shown in the patient group, which was negatively correlated with patient compulsions score (ρ = - 0.393, p = 0.001), indicating its contribution to the compulsive behavior inhibition of OCD. Our work might provide new insights into the understanding of precuneus subregion function and the importance of dorsal precuneus-cerebellum functional connectivity in OCD pathophysiology.
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Affiliation(s)
- Qianqian Ye
- School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai 200030, PR China
| | - Zongfeng Zhang
- Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai 200030, PR China; Shanghai Key Laboratory of Psychotic Disorders, Shanghai, 200030, PR China
| | - Wanqing Sun
- School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai 200030, PR China
| | - Qing Fan
- Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai 200030, PR China; Shanghai Key Laboratory of Psychotic Disorders, Shanghai, 200030, PR China.
| | - Yao Li
- School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai 200030, PR China.
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10
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Bowen Z, Changlian T, Qian L, Wanrong P, Huihui Y, Zhaoxia L, Feng L, Jinyu L, Xiongzhao Z, Mingtian Z. Gray Matter Abnormalities of Orbitofrontal Cortex and Striatum in Drug-Naïve Adult Patients With Obsessive-Compulsive Disorder. Front Psychiatry 2021; 12:674568. [PMID: 34168582 PMCID: PMC8217443 DOI: 10.3389/fpsyt.2021.674568] [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: 03/05/2021] [Accepted: 05/14/2021] [Indexed: 11/13/2022] Open
Abstract
Objective: This study examined whether obsessive-compulsive disorder (OCD) patients have gray matter abnormalities in regions related to executive function, and whether such abnormalities are associated with impaired executive function. Methods: Multiple scales were administered to 27 first-episode drug-naïve OCD patients and 29 healthy controls. Comprehensive brain morphometric indicators of orbitofrontal cortex (OFC) and three striatum areas (caudate, putamen, and pallidum) were determined. Hemisphere lateralization index was calculated for each region of interest. Correlations between lateralization index and psychological variables were examined in OCD group. Results: The OCD group had greater local gyrification index for the right OFC and greater gray matter volumes of the bilateral putamen and left pallidum than healthy controls. They also had weaker left hemisphere superiority for local gyrification index of the OFC and gray matter volume of the putamen, but stronger left hemisphere superiority for gray matter volume of the pallidum. Patients' lateralization index for local gyrification index of the OFC correlated negatively with Yale-Brown Obsessive Compulsive Scale and Dysexecutive Questionnaire scores, respectively. Conclusion: Structural abnormalities of the bilateral putamen, left pallidum, and right OFC may underlie OCD pathology. Abnormal lateralization in OCD may contribute to the onset of obsessive-compulsive symptoms and impaired executive function.
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Affiliation(s)
- Zhang Bowen
- Guangdong Key Laboratory of Mental Health and Cognitive Science, Center for Studies of Psychological Application, School of Psychology, South China Normal University, Guangzhou, China
| | - Tan Changlian
- Department of Radiology, Second Xiangya Hospital, Central South University, Changsha, China
| | - Liu Qian
- Guangdong Key Laboratory of Mental Health and Cognitive Science, Center for Studies of Psychological Application, School of Psychology, South China Normal University, Guangzhou, China
| | - Peng Wanrong
- Medical Psychological Center, The Second Xiangya Hospital, Central South University, Changsha, China
| | - Yang Huihui
- Medical Psychological Center, The Second Xiangya Hospital, Central South University, Changsha, China
| | - Liu Zhaoxia
- Medical Psychological Center, The Second Xiangya Hospital, Central South University, Changsha, China
| | - Li Feng
- Guangdong Key Laboratory of Mental Health and Cognitive Science, Center for Studies of Psychological Application, School of Psychology, South China Normal University, Guangzhou, China
| | - Liu Jinyu
- Guangdong Key Laboratory of Mental Health and Cognitive Science, Center for Studies of Psychological Application, School of Psychology, South China Normal University, Guangzhou, China
| | - Zhu Xiongzhao
- Medical Psychological Center, The Second Xiangya Hospital, Central South University, Changsha, China
- Medical Psychological Institute, Central South University, Changsha, China
| | - Zhong Mingtian
- Guangdong Key Laboratory of Mental Health and Cognitive Science, Center for Studies of Psychological Application, School of Psychology, South China Normal University, Guangzhou, China
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11
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Picó-Pérez M, Moreira PS, de Melo Ferreira V, Radua J, Mataix-Cols D, Sousa N, Soriano-Mas C, Morgado P. Modality-specific overlaps in brain structure and function in obsessive-compulsive disorder: Multimodal meta-analysis of case-control MRI studies. Neurosci Biobehav Rev 2020; 112:83-94. [PMID: 32006553 DOI: 10.1016/j.neubiorev.2020.01.033] [Citation(s) in RCA: 30] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/25/2019] [Revised: 01/03/2020] [Accepted: 01/27/2020] [Indexed: 10/25/2022]
Abstract
Neuroimaging research has shown that patients with obsessive-compulsive disorder (OCD) may present brain structural and functional alterations, but the results across imaging modalities and task paradigms are difficult to reconcile. Are the same brain systems that are structurally different in OCD patients also involved in executive function and emotional processing? To answer this, we conducted separate meta-analyses of voxel-based morphometry studies, executive function functional magnetic resonance imaging (fMRI) studies, and emotional processing fMRI studies. Next, with a multimodal approach (conjunction analysis), we identified the common alterations across meta-analyses. Patients presented increased gray matter volume and hyperactivation in the putamen, but the putamen subregions affected differed depending on the psychological process. Left posterior/dorsal putamen showed hyperactivation during executive processing tasks, while predominantly right anterior/ventral putamen showed hyperactivation during emotional processing tasks. Interestingly, age was significantly associated with increased right putamen volume. Finally, the left dorsolateral prefrontal cortex was hyperactive in both functional domains. Our findings highlight task-specific correlates of brain structure and function in OCD and help integrate a growing literature.
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Affiliation(s)
- Maria Picó-Pérez
- Life and Health Sciences Research Institute (ICVS), University of Minho, Braga, Portugal; ICVS/3B's, PT Government Associate Laboratory, Braga/Guimarães, Portugal
| | - Pedro Silva Moreira
- Life and Health Sciences Research Institute (ICVS), University of Minho, Braga, Portugal; ICVS/3B's, PT Government Associate Laboratory, Braga/Guimarães, Portugal
| | - Vanessa de Melo Ferreira
- Life and Health Sciences Research Institute (ICVS), University of Minho, Braga, Portugal; ICVS/3B's, PT Government Associate Laboratory, Braga/Guimarães, Portugal
| | - Joaquim Radua
- Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain; Centre for Psychiatric Research and Education, Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden; Department of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK; Mental Health Research Networking Center (CIBERSAM), Barcelona, Spain
| | - David Mataix-Cols
- Centre for Psychiatric Research and Education, Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden; Stockholm Health Care Services, Stockholm County Council, Stockholm, Sweden
| | - Nuno Sousa
- Life and Health Sciences Research Institute (ICVS), University of Minho, Braga, Portugal; ICVS/3B's, PT Government Associate Laboratory, Braga/Guimarães, Portugal; Clinical Academic Center - Braga, Braga, Portugal
| | - Carles Soriano-Mas
- Mental Health Research Networking Center (CIBERSAM), Barcelona, Spain; Bellvitge Biomedical Research Institute (IDIBELL), L'Hospitalet de Llobregat, Barcelona, Spain; Department of Psychobiology and Methodology of Health Sciences, Universitat Autònoma de Barcelona, Spain.
| | - Pedro Morgado
- Life and Health Sciences Research Institute (ICVS), University of Minho, Braga, Portugal; ICVS/3B's, PT Government Associate Laboratory, Braga/Guimarães, Portugal; Clinical Academic Center - Braga, Braga, Portugal.
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12
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A transdiagnostic neuroanatomical signature of psychiatric illness. Neuropsychopharmacology 2019; 44:869-875. [PMID: 30127342 PMCID: PMC6461829 DOI: 10.1038/s41386-018-0175-9] [Citation(s) in RCA: 41] [Impact Index Per Article: 8.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/26/2018] [Revised: 07/15/2018] [Accepted: 07/19/2018] [Indexed: 02/05/2023]
Abstract
Despite an increasing focus on transdiagnostic approaches to mental health, it remains unclear whether different diagnostic categories share a common neuronatomical basis. The current investigation sought to investigate whether a transdiagnostic set of structural alterations characterized schizophrenia, depression, post-traumatic stress disorder, and obsessive-compulsive disorder, and determine whether any such alterations reflected markers of psychiatric illness or pre-existing familial vulnerability. A total of 404 patients with a psychiatric diagnosis were recruited (psychosis, n = 129; unipolar depression, n = 92; post-traumatic stress disorder, n = 91; obsessive-compulsive disorder, n = 92) alongside n = 201 healthy controls and n = 20 unaffected first-degree relatives. We collected structural magnetic resonance imaging scans from each participant, and tested for transdiagnostic alterations using Voxel-based morphometry. Inferences were made at p < 0.05 after family-wise error correction for multiple comparisons. The four psychiatric groups relative to healthy controls were all characterized by significantly greater gray matter volume in the putamen (right: z-score: 5.97, p-value < 0.001; left: z-score: 4.97, p-value = 0.001); the volume of this region was positively correlated with severity of symptoms across groups (r = 0.313; p < 0.001). Putamen enlargement was also evident in unaffected relatives compared to healthy controls (right: z-score: 8.13, p-value < 0.001; left: z-score: 9.38, p-value < 0.001). Taken collectively, these findings indicate that increased putamen volume may reflect a transdiagnostic marker of familial vulnerability to psychopathology. This is consistent with emerging conceptualizations of psychiatric illness, in which each disorder is understood as a combination of diagnosis-specific features and a transdiagnostic factor reflecting general psychopathology.
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13
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Liao J, Li T, Dong W, Wang J, Tian J, Liu J, Quan W, Yan J. Reduced prefrontal-temporal cortical activation during verbal fluency task in obsessive-compulsive disorder: A multi-channel near-infrared spectroscopy study. J Psychiatr Res 2019; 109:33-40. [PMID: 30468975 DOI: 10.1016/j.jpsychires.2018.11.006] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/01/2018] [Revised: 11/03/2018] [Accepted: 11/03/2018] [Indexed: 01/26/2023]
Abstract
Functional neuroimaging studies by near-infrared spectroscopy (NIRS) have focused on the role of the prefrontal cortex (PFC) in the pathophysiology of obsessive-compulsive disorder (OCD). However, the reported areas in the PFC were inconsistent in OCD, and correlations between hemodynamic response and clinical symptoms have not been investigated. This study aimed to evaluate the hemodynamic response related to the verbal fluency task (VFT) and assess the relationship between activation and clinical status in OCD patients using a 52-channel NIRS with a wide coverage over the prefrontal and temporal cortices. Seventy patients with OCD and 70 age-, gender- and education level-matched healthy control subjects were examined by NIRS. The relative concentration changes of oxygenated hemoglobin ([oxy-Hb]) were measured. The Yale-Brown obsessive-compulsive scale (Y-BOCS) was used to evaluate the severity of OCD symptoms. Compared to healthy controls group, OCD patients showed smaller [oxy-Hb] changes in most areas of the prefrontal and temporal cortex, including the bilateral orbitofrontal cortex (OFC), right dorsolateral prefrontal cortex (DLPFC), bilateral inferior prefrontal cortex (IPFC), bilateral frontopolar cortex (FPC), left superior temporal gyrus (STG), and bilateral middle temporal gyrus (MTG). Furthermore, the [oxy-Hb] changes in the right FPC were negatively correlated with the Y-BOCS obsessions score and Y-BOCS total score, and the [oxy-Hb] changes in the left OFC were negatively correlated with the Y-BOCS compulsions score. These results suggest that patients with OCD have reduced prefrontal-temporal cortex hemodynamic responses, and that the abnormalities of brain activation were associated with the severity of OCD symptoms.
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Affiliation(s)
- Jinmin Liao
- Inpatient Unit, Peking University Sixth Hospital, Peking University Institute of Mental Health, Key Laboratory of Mental Health, NHC (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing 100191, China
| | - Tian Li
- Inpatient Unit, Peking University Sixth Hospital, Peking University Institute of Mental Health, Key Laboratory of Mental Health, NHC (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing 100191, China
| | - Wentian Dong
- Department of Translational Medicine, Peking University Sixth Hospital, Peking University Institute of Mental Health, Key Laboratory of Mental Health, NHC (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing 100191, China
| | - Jiuju Wang
- Department of Translational Medicine, Peking University Sixth Hospital, Peking University Institute of Mental Health, Key Laboratory of Mental Health, NHC (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing 100191, China
| | - Ju Tian
- Department of Translational Medicine, Peking University Sixth Hospital, Peking University Institute of Mental Health, Key Laboratory of Mental Health, NHC (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing 100191, China
| | - Jin Liu
- Department of Translational Medicine, Peking University Sixth Hospital, Peking University Institute of Mental Health, Key Laboratory of Mental Health, NHC (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing 100191, China
| | - Wenxiang Quan
- Department of Translational Medicine, Peking University Sixth Hospital, Peking University Institute of Mental Health, Key Laboratory of Mental Health, NHC (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing 100191, China.
| | - Jun Yan
- Inpatient Unit, Peking University Sixth Hospital, Peking University Institute of Mental Health, Key Laboratory of Mental Health, NHC (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing 100191, China.
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14
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Hirose M, Hirano Y, Nemoto K, Sutoh C, Asano K, Miyata H, Matsumoto J, Nakazato M, Matsumoto K, Masuda Y, Iyo M, Shimizu E, Nakagawa A. Relationship between symptom dimensions and brain morphology in obsessive-compulsive disorder. Brain Imaging Behav 2018; 11:1326-1333. [PMID: 27730476 DOI: 10.1007/s11682-016-9611-9] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/27/2022]
Abstract
Obsessive-compulsive disorder (OCD) is known as a clinically heterogeneous disorder characterized by symptom dimensions. Although substantial numbers of neuroimaging studies have demonstrated the presence of brain abnormalities in OCD, their results are controversial. The clinical heterogeneity of OCD could be one of the reasons for this. It has been hypothesized that certain brain regions contributed to the respective obsessive-compulsive dimensions. In this study, we investigated the relationship between symptom dimensions of OCD and brain morphology using voxel-based morphometry to discover the specific regions showing alterations in the respective dimensions of obsessive-compulsive symptoms. The severities of symptom dimensions in thirty-three patients with OCD were assessed using Obsessive-Compulsive Inventory-Revised (OCI-R). Along with numerous MRI studies pointing out brain abnormalities in autistic spectrum disorder (ASD) patients, a previous study reported a positive correlation between ASD traits and regional gray matter volume in the left dorsolateral prefrontal cortex and amygdala in OCD patients. We investigated the correlation between gray and white matter volumes at the whole brain level and each symptom dimension score, treating all remaining dimension scores, age, gender, and ASD traits as confounding covariates. Our results revealed a significant negative correlation between washing symptom dimension score and gray matter volume in the right thalamus and a significant negative correlation between hoarding symptom dimension score and white matter volume in the left angular gyrus. Although our result was preliminary, our findings indicated that there were specific brain regions in gray and white matter that contributed to symptom dimensions in OCD patients.
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Affiliation(s)
- Motohisa Hirose
- Research Center for Child Mental Development, Chiba University, 1-8-1 Inohana, Chuo-ku, Chiba, 260-8670, Japan.,United Graduate School of Child Development, Osaka University, Kanazawa University, Hamamatsu University School of Medicine, Chiba University and University of Fukui, Suita, Osaka, Japan
| | - Yoshiyuki Hirano
- Research Center for Child Mental Development, Chiba University, 1-8-1 Inohana, Chuo-ku, Chiba, 260-8670, Japan. .,United Graduate School of Child Development, Osaka University, Kanazawa University, Hamamatsu University School of Medicine, Chiba University and University of Fukui, Suita, Osaka, Japan.
| | - Kiyotaka Nemoto
- Department of Psychiatry, Division of Clinical Medicine, Faculty of Medicine, University of Tsukuba, Tsukuba, Japan
| | - Chihiro Sutoh
- Department of Cognitive Behavioral Physiology, Graduate School of Medicine, Chiba University, Chiba, Japan
| | - Kenichi Asano
- Research Center for Child Mental Development, Chiba University, 1-8-1 Inohana, Chuo-ku, Chiba, 260-8670, Japan.,United Graduate School of Child Development, Osaka University, Kanazawa University, Hamamatsu University School of Medicine, Chiba University and University of Fukui, Suita, Osaka, Japan
| | - Haruko Miyata
- Research Center for Child Mental Development, Chiba University, 1-8-1 Inohana, Chuo-ku, Chiba, 260-8670, Japan
| | - Junko Matsumoto
- Department of Regional Disaster Medicine, Graduate School of Medicine, Chiba University, Chiba, Japan
| | - Michiko Nakazato
- Research Center for Child Mental Development, Chiba University, 1-8-1 Inohana, Chuo-ku, Chiba, 260-8670, Japan.,United Graduate School of Child Development, Osaka University, Kanazawa University, Hamamatsu University School of Medicine, Chiba University and University of Fukui, Suita, Osaka, Japan
| | - Koji Matsumoto
- Department of Radiology, Chiba University Hospital, Chiba, Japan
| | - Yoshitada Masuda
- Department of Radiology, Chiba University Hospital, Chiba, Japan
| | - Masaomi Iyo
- Department of Psychiatry, Graduate School of Medicine, Chiba University, Chiba, Japan
| | - Eiji Shimizu
- Research Center for Child Mental Development, Chiba University, 1-8-1 Inohana, Chuo-ku, Chiba, 260-8670, Japan.,United Graduate School of Child Development, Osaka University, Kanazawa University, Hamamatsu University School of Medicine, Chiba University and University of Fukui, Suita, Osaka, Japan.,Department of Cognitive Behavioral Physiology, Graduate School of Medicine, Chiba University, Chiba, Japan
| | - Akiko Nakagawa
- Research Center for Child Mental Development, Chiba University, 1-8-1 Inohana, Chuo-ku, Chiba, 260-8670, Japan.,United Graduate School of Child Development, Osaka University, Kanazawa University, Hamamatsu University School of Medicine, Chiba University and University of Fukui, Suita, Osaka, Japan
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15
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Watanabe A, Nakamae T, Sakai Y, Nishida S, Abe Y, Yamada K, Yokota I, Narumoto J. The detection of white matter alterations in obsessive-compulsive disorder revealed by TRActs Constrained by UnderLying Anatomy (TRACULA). Neuropsychiatr Dis Treat 2018; 14:1635-1643. [PMID: 29950845 PMCID: PMC6016536 DOI: 10.2147/ndt.s164058] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/22/2023] Open
Abstract
PURPOSE In recent years, a large number of studies have investigated obsessive-compulsive disorder (OCD) using diffusion-weighted images (DWIs) and have reported microstructural abnormalities in various regions, mainly the corpus callosum and cingulum. In the present study, we aimed to detect microstructural changes in the white matter using whole-brain tractography. PATIENTS AND METHODS We obtained MRI data from 25 adult non-medicated OCD patients and 27 healthy controls. DWI data from MRI scans were analyzed by the automated probabilistic tractography method referred to as TRActs Constrained by UnderLying Anatomy (TRACULA). We investigated diffusivity parameters: fractional anisotropy, radial diffusivity (RD), axial diffusivity, and mean diffusivity in 18 major white matter tracts and examined indices to know which measurements in which fibers can predict the diagnosis of OCD. RESULTS Compared to healthy controls, OCD patients had significantly increased RD in the forceps major and a reduction of RD in the right cingulum angular (infracallosal) bundle. There was no correlation between these values and the clinical features. CONCLUSION We found RD alterations in the forceps major and the right cingulum angular (infracallosal) bundle, which might be associated with myelination changes in the temporal and occipital regions in OCD. Our results suggest that the pathogenesis of OCD may include abonormality of myelination status in not only the fronto-striato-thalamic circuit but also the posterior and temporal regions.
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Affiliation(s)
- Anri Watanabe
- Department of Psychiatry, Graduate School of Medical Science, Kyoto Prefectural University of Medicine, Kyoto, Japan
| | - Takashi Nakamae
- Department of Psychiatry, Graduate School of Medical Science, Kyoto Prefectural University of Medicine, Kyoto, Japan
| | - Yuki Sakai
- Department of Neural Computation for Decision-Making, Advanced Telecommunications Research Institute International Brain Information Communication Research Laboratory Group, Kyoto, Japan
| | - Seiji Nishida
- Department of Psychiatry, Graduate School of Medical Science, Kyoto Prefectural University of Medicine, Kyoto, Japan
| | - Yoshinari Abe
- Department of Psychiatry, Graduate School of Medical Science, Kyoto Prefectural University of Medicine, Kyoto, Japan
| | - Kei Yamada
- Department of Radiology, Graduate School of Medical Science, Kyoto Prefectural University of Medicine, Kyoto, Japan
| | - Isao Yokota
- Department of Biostatistics, Graduate School of Medical Science, Kyoto Prefectural University of Medicine, Kyoto, Japan
| | - Jin Narumoto
- Department of Psychiatry, Graduate School of Medical Science, Kyoto Prefectural University of Medicine, Kyoto, Japan
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16
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Trambaiolli LR, Biazoli CE, Balardin JB, Hoexter MQ, Sato JR. The relevance of feature selection methods to the classification of obsessive-compulsive disorder based on volumetric measures. J Affect Disord 2017; 222:49-56. [PMID: 28672179 DOI: 10.1016/j.jad.2017.06.061] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/15/2017] [Revised: 06/01/2017] [Accepted: 06/26/2017] [Indexed: 01/11/2023]
Abstract
BACKGROUND Magnetic resonance images (MRI) show detectable anatomical and functional differences between individuals with obsessive-compulsive disorder (OCD) and healthy subjects. Moreover, machine learning techniques have been proposed as tools to identify potential biomarkers and, ultimately, to support clinical diagnosis. However, few studies to date have investigated feature selection (FS) influences in OCD MRI-based classification. METHODS Volumes of cortical and subcortical structures, from MRI data of 38 OCD patients (split into two groups according symptoms severity) and 36 controls, were submitted to seven feature selection algorithms. FS aims to select the most relevant and less redundant features which discriminate between two classes. Then, a classification step was applied, from which the classification performances before and after different FS were compared. For the performance evaluation, leave-one-subject-out accuracies of Support Vector Machine classifiers were considered. RESULTS Using different FS algorithms, performance improvement was achieved for Controls vs. All OCD discrimination (19.08% of improvement reducing by 80% the amount of features), Controls vs. Low OCD (20.10%, 75%), Controls vs. High OCD (17.32%, 85%) and Low OCD vs. High OCD (10.53%, 75%). Furthermore, all algorithms pointed out classical cortico-striato-thalamo-cortical circuitry structures as relevant features for OCD classification. LIMITATIONS Limitations include the sample size and using only filter approaches for FS. CONCLUSIONS Our results suggest that FS positively impacts OCD classification using machine-learning techniques. Complementarily, FS algorithms were able to select biologically plausible features automatically.
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Affiliation(s)
- Lucas R Trambaiolli
- Center of Mathematics, Computing and Cognition, Universidade Federal do ABC, Rua Santa Adélia, 166, Santo André, SP 09210-170, Brazil.
| | - Claudinei E Biazoli
- Center of Mathematics, Computing and Cognition, Universidade Federal do ABC, Rua Santa Adélia, 166, Santo André, SP 09210-170, Brazil
| | - Joana B Balardin
- Center of Mathematics, Computing and Cognition, Universidade Federal do ABC, Rua Santa Adélia, 166, Santo André, SP 09210-170, Brazil
| | - Marcelo Q Hoexter
- Department and Institute of Psychiatry, University of São Paulo Medical School, Rua Dr. Ovídio Pires de Campos, 785, São Paulo 01060-970, SP, Brazil
| | - João R Sato
- Center of Mathematics, Computing and Cognition, Universidade Federal do ABC, Rua Santa Adélia, 166, Santo André, SP 09210-170, Brazil
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17
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Carlisi CO, Norman LJ, Lukito SS, Radua J, Mataix-Cols D, Rubia K. Comparative Multimodal Meta-analysis of Structural and Functional Brain Abnormalities in Autism Spectrum Disorder and Obsessive-Compulsive Disorder. Biol Psychiatry 2017; 82:83-102. [PMID: 27887721 DOI: 10.1016/j.biopsych.2016.10.006] [Citation(s) in RCA: 125] [Impact Index Per Article: 17.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/08/2016] [Revised: 10/03/2016] [Accepted: 10/05/2016] [Indexed: 01/17/2023]
Abstract
BACKGROUND Autism spectrum disorder (ASD) and obsessive-compulsive disorder (OCD) share inhibitory control deficits possibly underlying poor control over stereotyped and repetitive and compulsive behaviors, respectively. However, it is unclear whether these symptom profiles are mediated by common or distinct neural profiles. This comparative multimodal meta-analysis assessed shared and disorder-specific neuroanatomy and neurofunction of inhibitory functions. METHODS A comparative meta-analysis of 62 voxel-based morphometry and 26 functional magnetic resonance imaging (fMRI) studies of inhibitory control was conducted comparing gray matter volume and activation abnormalities between patients with ASD (structural MRI: 911; fMRI: 188) and OCD (structural MRI: 928; fMRI: 247) and control subjects. Multimodal meta-analysis compared groups across voxel-based morphometry and fMRI. RESULTS Both disorders shared reduced function and structure in the rostral and dorsomedial prefrontal cortex including the anterior cingulate. OCD patients had a disorder-specific increase in structure and function of left basal ganglia (BG) and insula relative to control subjects and ASD patients, who had reduced right BG and insula volumes versus OCD patients. In fMRI, ASD patients showed disorder-specific reduced left dorsolateral-prefrontal activation and reduced posterior cingulate deactivation, whereas OCD patients showed temporoparietal underactivation. CONCLUSIONS The multimodal comparative meta-analysis shows shared and disorder-specific abnormalities. Whereas the rostrodorsomedial prefrontal cortex was smaller in structure and function in both disorders, this was concomitant with increased structure and function in BG and insula in OCD patients, but a reduction in ASD patients, presumably reflecting a disorder-specific frontostriatoinsular dysregulation in OCD in the form of poor frontal control over overactive BG, and a frontostriatoinsular maldevelopment in ASD with reduced structure and function in this network. Disorder-differential mechanisms appear to drive overlapping phenotypes of inhibitory control abnormalities in patients with ASD and OCD.
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Affiliation(s)
- Christina O Carlisi
- Department of Child and Adolescent Psychiatry Institute of Psychology, Psychiatry, and Neuroscience, King's College London, London, United Kingdom
| | - Luke J Norman
- Department of Child and Adolescent Psychiatry Institute of Psychology, Psychiatry, and Neuroscience, King's College London, London, United Kingdom
| | - Steve S Lukito
- Department of Child and Adolescent Psychiatry Institute of Psychology, Psychiatry, and Neuroscience, King's College London, London, United Kingdom
| | - Joaquim Radua
- Department of Psychosis Studies, Institute of Psychology, Psychiatry, and Neuroscience, King's College London, London, United Kingdom; Department of Clinical Neuroscience, Centre for Psychiatry Research, Karolinska Institutet, Stockholm, Sweden; FIDMAG Germanes Hospitalàries, CIBERSAM, Barcelona, Spain
| | - David Mataix-Cols
- Department of Clinical Neuroscience, Centre for Psychiatry Research, Karolinska Institutet, Stockholm, Sweden
| | - Katya Rubia
- Department of Child and Adolescent Psychiatry Institute of Psychology, Psychiatry, and Neuroscience, King's College London, London, United Kingdom.
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18
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Mukai K, Matsuura N, Nakajima A, Yanagisawa Y, Yoshida Y, Maebayashi K, Hayashida K, Matsunaga H. Evaluations of hemodynamic changes during neuropsychological test batteries using near-infrared spectroscopy in patients with obsessive-compulsive disorder. Psychiatry Res Neuroimaging 2017; 262:1-7. [PMID: 28189045 DOI: 10.1016/j.pscychresns.2017.01.010] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/14/2017] [Accepted: 01/26/2017] [Indexed: 02/06/2023]
Affiliation(s)
- Keiichiro Mukai
- Department of Neuropsychiatry, Hyogo College of Medicine, 1-1, Mukogawa-cho, Nishinomiya, Hyogo 6638131, Japan.
| | - Naomi Matsuura
- Tokyo University and Graduate School of Social Welfare, 2-13-32, Marunouchi, Naka-ku, Nagoya, 4600002 Japan
| | - Akihiro Nakajima
- Department of Neuropsychiatry, Hyogo College of Medicine, 1-1, Mukogawa-cho, Nishinomiya, Hyogo 6638131, Japan
| | - Yoshinobu Yanagisawa
- Department of Neuropsychiatry, Hyogo College of Medicine, 1-1, Mukogawa-cho, Nishinomiya, Hyogo 6638131, Japan
| | - Yoshikazu Yoshida
- Department of Neuropsychiatry, Hyogo College of Medicine, 1-1, Mukogawa-cho, Nishinomiya, Hyogo 6638131, Japan
| | - Kensei Maebayashi
- Department of Neuropsychiatry, Hyogo College of Medicine, 1-1, Mukogawa-cho, Nishinomiya, Hyogo 6638131, Japan
| | - Kazuhisa Hayashida
- Department of Neuropsychiatry, Hyogo College of Medicine, 1-1, Mukogawa-cho, Nishinomiya, Hyogo 6638131, Japan
| | - Hisato Matsunaga
- Department of Neuropsychiatry, Hyogo College of Medicine, 1-1, Mukogawa-cho, Nishinomiya, Hyogo 6638131, Japan
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19
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Krause D, Folkerts M, Karch S, Keeser D, Chrobok AI, Zaudig M, Hegerl U, Juckel G, Pogarell O. Prediction of Treatment Outcome in Patients with Obsessive-Compulsive Disorder with Low-Resolution Brain Electromagnetic Tomography: A Prospective EEG Study. Front Psychol 2016; 6:1993. [PMID: 26834658 PMCID: PMC4722125 DOI: 10.3389/fpsyg.2015.01993] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/01/2015] [Accepted: 12/14/2015] [Indexed: 11/24/2022] Open
Abstract
The issue of predicting treatment response and identifying, in advance, which patient will profit from treating obsessive-compulsive disorder (OCD) seems to be an elusive goal. This prospective study investigated brain electric activity [using Low-Resolution Brain Electromagnetic Tomography (LORETA)] for the purpose of predicting response to treatment. Forty-one unmedicated patients with a DSM-IV diagnosis of OCD were included. A resting 32-channel EEG was obtained from each participant before and after 10 weeks of standardized treatment with sertraline and behavioral therapy. LORETA was used to localize the sources of brain electrical activity. At week 10, patients were divided into responders and non-responders (according to a reduction of symptom severity >50% on the Y-BOCS). LORETA analysis revealed that at baseline responders showed compared to non-responders a significantly lower brain electric activity within the beta 1 (t = 2.86, p < 0.05), 2 (t = 2.81, p < 0.05), and 3 (t = 2.76, p < 0.05) frequency bands and ROI analysis confirmed a reduced activity in alpha 2 (t = 2.06, p < 0.05) in the anterior cingulate cortex (ACC). When baseline LORETA data were compared to follow-up data, the analysis showed in the responder group a significantly lower brain electrical resting activity in the beta 1 (t = 3.17. p < 0.05) and beta 3 (t = 3.11. p < 0.05) frequency bands and equally for the ROI analysis of the orbitofrontal cortex (OFC) in the alpha 2 (t = 2.15. p < 0.05) frequency band. In the group of non-responders the opposite results were found. In addition, a positive correlation between frequency alpha 2 (rho = 0.40, p = 0.010), beta 3 (rho = 0.42, p = 0.006), delta (rho = 0.33, p = 0.038), theta (rho = 0.34, p = 0.031), alpha 1 (rho = 0.38, p = 0.015), and beta1 (rho = 0.34, p = 0.028) of the OFC and the bands delta (rho = 0.33, p = 0.035), alpha 1 (rho = 0.36, p = 0.019), alpha 2 (rho = 0.34, p = 0.031), and beta 3 (rho = 0.38, p = 0.015) of the ACC with a reduction of the Y-BOCS scores was identified. Our results suggest that measuring brain activity with LORETA could be an efficient and applicable technique to prospectively identify treatment responders in OCD.
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Affiliation(s)
- Daniela Krause
- Department of Neurophysiology and Functional Neuroimaging, Ludwig Maximilians University Munich Munich, Germany
| | - Malte Folkerts
- Department of Neurophysiology and Functional Neuroimaging, Ludwig Maximilians University Munich Munich, Germany
| | - Susanne Karch
- Department of Neurophysiology and Functional Neuroimaging, Ludwig Maximilians University Munich Munich, Germany
| | - Daniel Keeser
- Department of Neurophysiology and Functional Neuroimaging, Ludwig Maximilians University Munich Munich, Germany
| | - Agnieszka I Chrobok
- Department of Neurophysiology and Functional Neuroimaging, Ludwig Maximilians University Munich Munich, Germany
| | | | - Ulrich Hegerl
- Department of Psychiatry and Psychotherapy, University Hospital Leipzig Leipzig, Germany
| | - Georg Juckel
- Department of Psychiatry, Psychotherapy and Preventive Medicine, Ruhr-University Bochum Bochum, Germany
| | - Oliver Pogarell
- Department of Neurophysiology and Functional Neuroimaging, Ludwig Maximilians University Munich Munich, Germany
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