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Zhang YD, Shi DD, Wang Z. Neurobiology of Obsessive-Compulsive Disorder from Genes to Circuits: Insights from Animal Models. Neurosci Bull 2024:10.1007/s12264-024-01252-9. [PMID: 38982026 DOI: 10.1007/s12264-024-01252-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/14/2023] [Accepted: 03/27/2024] [Indexed: 07/11/2024] Open
Abstract
Obsessive-compulsive disorder (OCD) is a chronic, severe psychiatric disorder that has been ranked by the World Health Organization as one of the leading causes of illness-related disability, and first-line interventions are limited in efficacy and have side-effect issues. However, the exact pathophysiology underlying this complex, heterogeneous disorder remains unknown. This scenario is now rapidly changing due to the advancement of powerful technologies that can be used to verify the function of the specific gene and dissect the neural circuits underlying the neurobiology of OCD in rodents. Genetic and circuit-specific manipulation in rodents has provided important insights into the neurobiology of OCD by identifying the molecular, cellular, and circuit events that induce OCD-like behaviors. This review will highlight recent progress specifically toward classic genetic animal models and advanced neural circuit findings, which provide theoretical evidence for targeted intervention on specific molecular, cellular, and neural circuit events.
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Affiliation(s)
- Ying-Dan Zhang
- Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, 200030, China
| | - Dong-Dong Shi
- Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, 200030, China.
- Shanghai Key Laboratory of Psychotic Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, 201108, China.
| | - Zhen Wang
- Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, 200030, China.
- Shanghai Key Laboratory of Psychotic Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, 201108, China.
- Shanghai Intelligent Psychological Evaluation and Intervention Engineering Technology Research Center, Shanghai, 200030, China.
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Shobeiri P, Hosseini Shabanan S, Haghshomar M, Khanmohammadi S, Fazeli S, Sotoudeh H, Kamali A. Cerebellar Microstructural Abnormalities in Obsessive-Compulsive Disorder (OCD): a Systematic Review of Diffusion Tensor Imaging Studies. CEREBELLUM (LONDON, ENGLAND) 2024; 23:778-801. [PMID: 37291229 DOI: 10.1007/s12311-023-01573-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Accepted: 05/22/2023] [Indexed: 06/10/2023]
Abstract
Previous neuroimaging studies have suggested that obsessive-compulsive disorder (OCD) is associated with altered resting-state functional connectivity of the cerebellum. In this study, we aimed to describe the most significant and reproducible microstructural abnormalities and cerebellar changes associated with obsessive-compulsive disorder (OCD) using diffusion tensor imaging (DTI) investigations. PubMed and EMBASE were searched for relevant studies using the PRISMA 2020 protocol. A total of 17 publications were chosen for data synthesis after screening titles and abstracts, full-text examination, and executing the inclusion criteria. The patterns of cerebellar white matter (WM) integrity loss, determined by fractional anisotropy (FA), mean diffusivity (MD), radial diffusivity (RD), and axial diffusivity (AD) metrics, varied across studies and symptoms. Changes in fractional anisotropy (FA) values were described in six publications, which were decreased in four and increased in two studies. An increase in diffusivity parameters of the cerebellum (i.e., MD, RD, and AD) in OCD patients was reported in four studies. Alterations of the cerebellar connectivity with other brain areas were also detected in three studies. Heterogenous results were found in studies that investigated cerebellar microstructural abnormalities in correlation with symptom dimension or severity. OCD's complex phenomenology may be characterized by changes in cerebellar WM connectivity across wide networks, as shown by DTI studies on OCD patients in both children and adults. Classification features in machine learning and clinical tools for diagnosing OCD and determining the prognosis of the disorder might both benefit from using cerebellar DTI data.
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Affiliation(s)
- Parnian Shobeiri
- Faculty of Medicine, Tehran University of Medical Sciences, Tehran, Iran.
- NeuroImaging Network (NIN), Universal Scientific Education and Research Network (USERN), Tehran, Iran.
- Non-Communicable Diseases Research Center, Endocrinology and Metabolism Population Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran.
| | | | - Maryam Haghshomar
- NeuroImaging Network (NIN), Universal Scientific Education and Research Network (USERN), Tehran, Iran
- Department of Radiology, Northwestern University, Chicago, IL, USA
| | - Shaghayegh Khanmohammadi
- Faculty of Medicine, Tehran University of Medical Sciences, Tehran, Iran
- Non-Communicable Diseases Research Center, Endocrinology and Metabolism Population Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran
| | - Soudabeh Fazeli
- Department of Radiology, University of California San Diego, San Diego, CA, USA
| | - Houman Sotoudeh
- Department of Radiology and Neurology, University of Alabama at Birmingham (UAB), Birmingham, AL, USA
| | - Arash Kamali
- Department of Diagnostic and Interventional Radiology, University of Texas McGovern Medical School, Houston, TX, USA
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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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Luttenbacher I, Phillips A, Kazemi R, Hadipour AL, Sanghvi I, Martinez J, Adamson MM. Transdiagnostic role of glutamate and white matter damage in neuropsychiatric disorders: A Systematic Review. J Psychiatr Res 2022; 147:324-348. [PMID: 35151030 DOI: 10.1016/j.jpsychires.2021.12.042] [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: 10/21/2021] [Revised: 12/08/2021] [Accepted: 12/19/2021] [Indexed: 12/09/2022]
Abstract
Neuropsychiatric disorders including generalized anxiety disorder (GAD), obsessive-compulsive disorder (OCD), major depressive disorder (MDD), bipolar disorder (BD), and schizophrenia (SZ) have been considered distinct categories of diseases despite their overlapping characteristics and symptomatology. We aimed to provide an in-depth review elucidating the role of glutamate/Glx and white matter (WM) abnormalities in these disorders from a transdiagnostic perspective. The PubMed online database was searched for studies published between 2010 and 2021. After careful screening, 401 studies were included. The findings point to decreased levels of glutamate in the Anterior Cingulate Cortex in both SZ and BD, whereas Glx is elevated in the Hippocampus in SZ and MDD. With regard to WM abnormalities, the Corpus Callosum and superior Longitudinal Fascicle were the most consistently identified brain regions showing decreased fractional anisotropy (FA) across all the reviewed disorders, except GAD. Additionally, the Uncinate Fasciculus displayed decreased FA in all disorders, except OCD. Decreased FA was also found in the inferior Longitudinal Fasciculus, inferior Fronto-Occipital Fasciculus, Thalamic Radiation, and Corona Radiata in SZ, BD, and MDD. Decreased FA in the Fornix and Corticospinal Tract were found in BD and SZ patients. The Cingulum and Anterior Limb of Internal Capsule exhibited decreased FA in MDD and SZ patients. The results suggest a gradual increase in severity from GAD to SZ defined by the number of brain regions with WM abnormality which may be partially caused by abnormal glutamate levels. WM damage could thus be considered a potential marker of some of the main neuropsychiatric disorders.
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Affiliation(s)
- Ines Luttenbacher
- Department of Social & Behavioral Sciences, University of Amsterdam, Amsterdam, Netherlands; Rehabilitation Service, Veterans Affairs Palo Alto Health Care System, Palo Alto, CA, USA
| | - Angela Phillips
- Rehabilitation Service, Veterans Affairs Palo Alto Health Care System, Palo Alto, CA, USA; Department of Psychiatry & Behavioral Sciences, Stanford University School of Medicine, Stanford, CA, USA
| | - Reza Kazemi
- Department of Cognitive Psychology, Institute for Cognitive Science Studies, Tehran, Iran
| | - Abed L Hadipour
- Department of Cognitive Sciences, University of Messina, Messina, Italy
| | - Isha Sanghvi
- Rehabilitation Service, Veterans Affairs Palo Alto Health Care System, Palo Alto, CA, USA; Department of Neuroscience, University of Southern California, Los Angeles, CA, USA
| | - Julian Martinez
- Rehabilitation Service, Veterans Affairs Palo Alto Health Care System, Palo Alto, CA, USA; Palo Alto University, Palo Alto, CA, USA
| | - Maheen M Adamson
- Rehabilitation Service, Veterans Affairs Palo Alto Health Care System, Palo Alto, CA, USA; Department of Neurosurgery, Stanford University School of Medicine, Stanford, CA, USA.
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Cho IH, Yoo JH, Chun JW, Cho H, Kim JY, Choi J, Kim DJ. Reduced Volume of a Brainstem Substructure in Adolescents with Problematic Smartphone Use. Soa Chongsonyon Chongsin Uihak 2021; 32:137-143. [PMID: 34671186 PMCID: PMC8499038 DOI: 10.5765/jkacap.210007] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/23/2021] [Revised: 05/02/2021] [Accepted: 05/10/2021] [Indexed: 11/09/2022] Open
Abstract
Objectives Despite the growing concern regarding the adverse effects related to problematic smartphone use (PSU), little is known about underlying morphologic changes in the brain. The brainstem is a deep brain structure that consists of several important nuclei associated with emotions, sensations, and motor functions. In this study, we sought to examine the difference in the volume of brainstem substructures among adolescents with and without PSU. Methods A total of 87 Korean adolescents participated in this study. The PSU group (n=20, age=16.2±1.1, female:male=12:8) was designated if participants reported a total Smartphone Addiction Proneness Scale (SAPS) score of ≥42, whereas the remaining participants were assigned to the control group (n=67, age=15.3±1.7, female:male=19:48). High-resolution T1 magnetic resonance imaging was performed, and the volume of each of the four brainstem substructures [midbrain, pons, medulla, and superior cerebellar peduncle (SCP)] was measured. Analysis of covariance was conducted to reveal group differences after adjusting for effects of age, gender, whole brain-stem volume, depressive symptoms, and impulsivity. Results The PSU group showed a significantly smaller volume of the SCP than the control group (F=8.273, p=0.005). The volume of the SCP and the SAPS score were negatively correlated (Pearson’s r=-0.218, p=0.047). Conclusion The present study is the first to reveal an altered volume of the brainstem substructure among adolescents with PSU. This finding suggests that the altered white matter structure in the brainstem could be one of the neurobiological mechanisms underlying behavioral changes in PSU.
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Affiliation(s)
- In Hee Cho
- Department of Psychiatry, Seoul St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Korea
| | - Jae Hyun Yoo
- Department of Psychiatry, Seoul St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Korea
| | - Ji-Won Chun
- Department of Psychiatry, Seoul St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Korea
| | - Hyun Cho
- Department of Psychiatry, Seoul St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Korea
| | - Jin-Young Kim
- Department of Psychiatry, Seoul St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Korea
| | - Jihye Choi
- Department of Psychiatry, Seoul St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Korea
| | - Dai-Jin Kim
- Department of Psychiatry, Seoul St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Korea
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Maziero MP, Seitz-Holland J, Cho KIK, Goldenberg JE, Tanamatis TW, Diniz JB, Cappi C, Alice de Mathis M, Otaduy MCG, da Graça Morais Martin M, de Melo Felipe da Silva R, Shavitt RG, Batistuzzo MC, Lopes AC, Miguel EC, Pasternak O, Hoexter MQ. Cellular and Extracellular White Matter Abnormalities in Obsessive-Compulsive Disorder: A Diffusion Magnetic Resonance Imaging Study. BIOLOGICAL PSYCHIATRY: COGNITIVE NEUROSCIENCE AND NEUROIMAGING 2021; 6:983-991. [PMID: 33862255 DOI: 10.1016/j.bpsc.2021.04.001] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/10/2021] [Revised: 03/17/2021] [Accepted: 04/02/2021] [Indexed: 10/21/2022]
Abstract
BACKGROUND While previous studies have implicated white matter (WM) as a core pathology of obsessive-compulsive disorder (OCD), the underlying neurobiological processes remain elusive. This study used free-water (FW) imaging derived from diffusion magnetic resonance imaging to identify cellular and extracellular WM abnormalities in patients with OCD compared with control subjects. Next, we investigated the association between diffusion measures and clinical variables in patients. METHODS We collected diffusion-weighted magnetic resonance imaging and clinical data from 83 patients with OCD (56 women/27 men, age 37.7 ± 10.6 years) and 52 control subjects (27 women/25 men, age 32.8 ± 11.5 years). Fractional anisotropy (FA), FA of cellular tissue, and extracellular FW maps were extracted and compared between patients and control subjects using tract-based spatial statistics and voxelwise comparison in FSL Randomise. Next, we correlated these WM measures with clinical variables (age of onset and symptom severity) and compared them between patients with and without comorbidities and patients with and without psychiatric medication. RESULTS Patients with OCD demonstrated lower FA (43.4% of the WM skeleton), lower FA of cellular tissue (31% of the WM skeleton), and higher FW (22.5% of the WM skeleton) compared with control subjects. We did not observe significant correlations between diffusion measures and clinical variables. Comorbidities and medication status did not influence diffusion measures. CONCLUSIONS Our findings of widespread FA, FA of cellular tissue, and FW abnormalities suggest that OCD is associated with microstructural cellular and extracellular abnormalities beyond the corticostriatothalamocortical circuits. Future multimodal longitudinal studies are needed to understand better the influence of essential clinical variables across the illness trajectory.
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Affiliation(s)
- Maria Paula Maziero
- Laboratório de Investigações Médicas 23, Instituto de Psiquiatria, Hospital das Clinicas Hospital das Clínicas da Faculdade de Medicina da Universidade de São Paulo, Faculdade de Medicina, Universidade de São Paulo, São Paulo, Brazil; Faculty of Medicine, City University of São Paulo, São Paulo, Brazil.
| | - Johanna Seitz-Holland
- Department of Psychiatry, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts
| | - Kang Ik K Cho
- Department of Psychiatry, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts
| | - Joshua E Goldenberg
- Department of Psychiatry, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts
| | - Taís W Tanamatis
- Laboratório de Investigações Médicas 23, Instituto de Psiquiatria, Hospital das Clinicas Hospital das Clínicas da Faculdade de Medicina da Universidade de São Paulo, Faculdade de Medicina, Universidade de São Paulo, São Paulo, Brazil
| | - Juliana B Diniz
- Laboratório de Investigações Médicas 23, Instituto de Psiquiatria, Hospital das Clinicas Hospital das Clínicas da Faculdade de Medicina da Universidade de São Paulo, Faculdade de Medicina, Universidade de São Paulo, São Paulo, Brazil
| | - Carolina Cappi
- Laboratório de Investigações Médicas 23, Instituto de Psiquiatria, Hospital das Clinicas Hospital das Clínicas da Faculdade de Medicina da Universidade de São Paulo, Faculdade de Medicina, Universidade de São Paulo, São Paulo, Brazil
| | - Maria Alice de Mathis
- Laboratório de Investigações Médicas 23, Instituto de Psiquiatria, Hospital das Clinicas Hospital das Clínicas da Faculdade de Medicina da Universidade de São Paulo, Faculdade de Medicina, Universidade de São Paulo, São Paulo, Brazil
| | - Maria C G Otaduy
- Laboratório de Investigações Médicas 44, Instituto de Radiologia, Hospital das Clinicas Hospital das Clínicas da Faculdade de Medicina da Universidade de São Paulo, Faculdade de Medicina, Universidade de São Paulo, São Paulo, Brazil
| | - Maria da Graça Morais Martin
- Laboratório de Investigações Médicas 44, Instituto de Radiologia, Hospital das Clinicas Hospital das Clínicas da Faculdade de Medicina da Universidade de São Paulo, Faculdade de Medicina, Universidade de São Paulo, São Paulo, Brazil
| | - Renata de Melo Felipe da Silva
- Laboratório de Investigações Médicas 23, Instituto de Psiquiatria, Hospital das Clinicas Hospital das Clínicas da Faculdade de Medicina da Universidade de São Paulo, Faculdade de Medicina, Universidade de São Paulo, São Paulo, Brazil
| | - Roseli G Shavitt
- Laboratório de Investigações Médicas 23, Instituto de Psiquiatria, Hospital das Clinicas Hospital das Clínicas da Faculdade de Medicina da Universidade de São Paulo, Faculdade de Medicina, Universidade de São Paulo, São Paulo, Brazil
| | - Marcelo C Batistuzzo
- Laboratório de Investigações Médicas 23, Instituto de Psiquiatria, Hospital das Clinicas Hospital das Clínicas da Faculdade de Medicina da Universidade de São Paulo, Faculdade de Medicina, Universidade de São Paulo, São Paulo, Brazil; Department of Methods and Techniques in Psychology, Humanities and Health Sciences School, Pontifical Catholic University of São Paulo, São Paulo, Brazil
| | - Antonio C Lopes
- Laboratório de Investigações Médicas 23, Instituto de Psiquiatria, Hospital das Clinicas Hospital das Clínicas da Faculdade de Medicina da Universidade de São Paulo, Faculdade de Medicina, Universidade de São Paulo, São Paulo, Brazil
| | - Eurípedes C Miguel
- Laboratório de Investigações Médicas 23, Instituto de Psiquiatria, Hospital das Clinicas Hospital das Clínicas da Faculdade de Medicina da Universidade de São Paulo, Faculdade de Medicina, Universidade de São Paulo, São Paulo, Brazil
| | - Ofer Pasternak
- Department of Psychiatry, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts; Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts
| | - Marcelo Q Hoexter
- Laboratório de Investigações Médicas 23, Instituto de Psiquiatria, Hospital das Clinicas Hospital das Clínicas da Faculdade de Medicina da Universidade de São Paulo, Faculdade de Medicina, Universidade de São Paulo, São Paulo, Brazil.
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7
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Microstructural white matter abnormalities in obsessive-compulsive disorder: A coordinate-based meta-analysis of diffusion tensor imaging studies. Asian J Psychiatr 2021; 55:102467. [PMID: 33186822 DOI: 10.1016/j.ajp.2020.102467] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/01/2020] [Revised: 10/14/2020] [Accepted: 10/29/2020] [Indexed: 12/27/2022]
Abstract
BACKGROUND There are no conclusive diffusion tensor imaging (DTI) findings on obsessive-compulsive disorder (OCD) for now. We conducted a comprehensive meta-analysis of DTI studies to identify white matter (WM) microarchitecture changes in OCD, and also to compare the results differences between the two most frequently used methods (voxel-based analysis, VBA versus tract-based spatial statistics, TBSS) for DTI data. METHODS A systematic search was performed on relevant studies that reported fractional anisotropy (FA) alterations between patients with OCD and healthy controls (HC). Seed-based d mapping (SDM) was applied to analyze microstructural WM abnormalities in OCD patients. Subgroup meta-analysis was subsequently performed to explore methodological differences between VBA and TBSS approaches. RESULTS A total of 30 studies (with 31 datasets) that comprised 855 patients and 875 HC were identified. OCD patients exhibited significantly decreased FA in the right cerebellar hemispheric lobule, corpus callosum (CC), left superior frontal gyrus (orbital part), right gyrus rectus, left superior longitudinal fasciculus and right lenticular nucleus in the pooled meta-analysis. The VBA subgroup showed lower FA in several brain regions while the TBSS subgroup only exhibited significant FA reductions in the CC. CONCLUSION According to the pooled meta-analysis, OCD patients presented microstructural abnormalities in distributed WM tracts. However, heterogeneous results were found between VBA and TBSS studies.
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8
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Pagliaccio D, Cha J, He X, Cyr M, Yanes-Lukin P, Goldberg P, Fontaine M, Rynn MA, Marsh R. Structural neural markers of response to cognitive behavioral therapy in pediatric obsessive-compulsive disorder. J Child Psychol Psychiatry 2020; 61:1299-1308. [PMID: 31889307 PMCID: PMC7326644 DOI: 10.1111/jcpp.13191] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 12/02/2019] [Indexed: 12/30/2022]
Abstract
BACKGROUND Cognitive behavioral therapy (CBT) is an effective, first-line treatment for pediatric obsessive-compulsive disorder (OCD). While neural predictors of treatment outcomes have been identified in adults with OCD, robust predictors are lacking for pediatric patients. Herein, we sought to identify brain structural markers of CBT response in youth with OCD. METHODS Twenty-eight children/adolescents with OCD and 27 matched healthy participants (7- to 18-year-olds, M = 11.71 years, SD = 3.29) completed high-resolution structural and diffusion MRI (all unmedicated at time of scanning). Patients with OCD then completed 12-16 sessions of CBT. Subcortical volume and cortical thickness were estimated using FreeSurfer. Structural connectivity (streamline counts) was estimated using MRtrix. RESULTS Thinner cortex in nine frontoparietal regions significantly predicted improvement in Children's Yale-Brown Obsessive-Compulsive Scale (CY-BOCS) scores (all ts > 3.4, FDR-corrected ps < .05). These included middle and superior frontal, angular, lingual, precentral, superior temporal, and supramarginal gyri (SMG). Vertex-wise analyses confirmed a significant left SMG cluster, showing large effect size (Cohen's d = 1.42) with 72.22% specificity and 90.00% sensitivity in predicting CBT response. Ten structural connections between cingulo-opercular regions exhibited fewer streamline counts in OCD (all ts > 3.12, Cohen's ds > 0.92) compared with healthy participants. These connections predicted post-treatment CY-BOCS scores, beyond pretreatment severity and demographics, though not above and beyond cortical thickness. CONCLUSIONS The current study identified group differences in structural connectivity (reduced among cingulo-opercular regions) and cortical thickness predictors of CBT response (thinner frontoparietal cortices) in unmedicated children/adolescents with OCD. These data suggest, for the first time, that cortical and white matter features of task control circuits may be useful in identifying which pediatric patients respond best to individual CBT.
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Affiliation(s)
- David Pagliaccio
- Division of Child and Adolescent Psychiatry, New York State Psychiatric Institute, New York, NY, USA;,Department of Psychiatry, Vagelos College of Physicians and Surgeons, Columbia University, New York, NY, USA
| | - Jiook Cha
- Division of Child and Adolescent Psychiatry, New York State Psychiatric Institute, New York, NY, USA;,Department of Psychiatry, Vagelos College of Physicians and Surgeons, Columbia University, New York, NY, USA
| | - Xiaofu He
- Division of Child and Adolescent Psychiatry, New York State Psychiatric Institute, New York, NY, USA;,Department of Psychiatry, Vagelos College of Physicians and Surgeons, Columbia University, New York, NY, USA
| | - Marilyn Cyr
- Division of Child and Adolescent Psychiatry, New York State Psychiatric Institute, New York, NY, USA;,Department of Psychiatry, Vagelos College of Physicians and Surgeons, Columbia University, New York, NY, USA
| | - Paula Yanes-Lukin
- Division of Child and Adolescent Psychiatry, New York State Psychiatric Institute, New York, NY, USA;,Department of Psychiatry, Vagelos College of Physicians and Surgeons, Columbia University, New York, NY, USA
| | - Pablo Goldberg
- Division of Child and Adolescent Psychiatry, New York State Psychiatric Institute, New York, NY, USA;,Department of Psychiatry, Vagelos College of Physicians and Surgeons, Columbia University, New York, NY, USA
| | - Martine Fontaine
- Division of Child and Adolescent Psychiatry, New York State Psychiatric Institute, New York, NY, USA;,Department of Psychiatry, Vagelos College of Physicians and Surgeons, Columbia University, New York, NY, USA
| | - Moira A. Rynn
- Department of Psychiatry & Behavioral Sciences, Duke University School of Medicine, Durham, NC, USA
| | - Rachel Marsh
- Division of Child and Adolescent Psychiatry, New York State Psychiatric Institute, New York, NY, USA;,Department of Psychiatry, Vagelos College of Physicians and Surgeons, Columbia University, New York, NY, USA
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9
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Transcranial direct current stimulation in patients with obsessive
compulsive disorder: A randomized controlled trial. Eur Psychiatry 2020; 62:38-44. [DOI: 10.1016/j.eurpsy.2019.08.011] [Citation(s) in RCA: 17] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/20/2019] [Revised: 08/13/2019] [Accepted: 08/26/2019] [Indexed: 01/27/2023] Open
Abstract
Abstract
Background:
Obsessive-compulsive disorder (OCD) is a severe mental disorder with
poor response to the available treatments. Neuroimaging studies have
identified dysfunctions within the
orbito-fronto-striato-pallido-thalamic network in patients with OCD.
Here, we assessed the efficacy and safety of transcranial direct current
stimulation (tDCS) applied with the cathode over the orbitofrontal
cortex (OFC) and the anode over the right cerebellum to decrease OCD
symptoms in patients with treatment-resistant OCD.
Methods:
In a randomized sham-controlled double-blind study, 21 patients with
OCD were assigned to receive ten 20-min sessions (two sessions per day)
of either active (2 mA) or sham tDCS. The clinical symptoms were
measured using the Yale-Brown Obsessive and Compulsive Scale (YBOCS).
Acute effects on the symptoms were measured from baseline to immediately
after the 10 tDCS sessions. Long-lasting effects were measured 1 and 3
months after the 10th tDCS session.
Results:
Compared with the sham tDCS, active tDCS significantly decreased OCD
symptoms immediately after the 10th tDCS session
(F(1,19) = 5.26, p = 0.03). However, no
significant differences were observed between the active and sham groups
in terms of changes in YBOCS score or the number of responders one and 3
months after tDCS.
Conclusion:
Despite significant acute effects, tDCS with the cathode placed over
the left OFC and the anode placed over the right cerebellum was not
significantly effective in inducing a long-lasting reduction of symptoms
in patients with treatment-resistant OCD.
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10
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de Salles Andrade JB, Ferreira FM, Suo C, Yücel M, Frydman I, Monteiro M, Vigne P, Fontenelle LF, Tovar-Moll F. An MRI Study of the Metabolic and Structural Abnormalities in Obsessive-Compulsive Disorder. Front Hum Neurosci 2019; 13:186. [PMID: 31333428 PMCID: PMC6620433 DOI: 10.3389/fnhum.2019.00186] [Citation(s) in RCA: 22] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/23/2019] [Accepted: 05/21/2019] [Indexed: 01/28/2023] Open
Abstract
Obsessive-compulsive disorder (OCD) is a neuropsychiatric illness characterized by obsessions and/or compulsions. Its pathophysiology is still not well understood but it is known that the cortico-striatal-thalamic-cortical (CSTC) circuitry plays an important role. Here, we used a multi-method MRI approach combining proton magnetic resonance spectroscopy (H1-MRS) and diffusion tensor imaging (DTI) techniques to investigate both the metabolic and the microstructural white matter (WM) changes of the anterior cingulate cortex (ACC) in OCD patients as compared to healthy controls. Twenty-three OCD patients and 21 age-, sex-, and education-matched healthy volunteers participated in the study. Our 1H-MRS findings show increased levels of Glx in ACC in OCD. Further, significantly lower fractional anisotropy (FA) values were observed in OCD patients’ left cingulate bundle (CB) as compared to healthy controls. Finally, there was a negative correlation between FA in the left CB and level of obsessions, as well as the duration of the illness. Our findings reinforce the involvement of CSTC bundles in pathophysiology of OCD, pointing to a specific role of glutamate (glutamine) and WM integrity.
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Affiliation(s)
- Juliana B de Salles Andrade
- D'Or Institute for Research and Education (IDOR), Rio de Janeiro, Brazil.,Institute of Biomedical Sciences (ICB), Federal University of Rio de Janeiro, Rio de Janeiro, Brazil
| | | | - Chao Suo
- Turner Institute for Brain and Mental Health and School of Psychological Sciences, Monash University, Clayton, VIC, Australia
| | - Murat Yücel
- Turner Institute for Brain and Mental Health and School of Psychological Sciences, Monash University, Clayton, VIC, Australia
| | - Ilana Frydman
- D'Or Institute for Research and Education (IDOR), Rio de Janeiro, Brazil.,Obsessive, Compulsive, and Anxiety Spectrum Research Program, Institute of Psychiatry, Federal University of Rio de Janeiro, Rio de Janeiro, Brazil
| | - Marina Monteiro
- D'Or Institute for Research and Education (IDOR), Rio de Janeiro, Brazil
| | - Paula Vigne
- D'Or Institute for Research and Education (IDOR), Rio de Janeiro, Brazil.,Obsessive, Compulsive, and Anxiety Spectrum Research Program, Institute of Psychiatry, Federal University of Rio de Janeiro, Rio de Janeiro, Brazil
| | - Leonardo F Fontenelle
- D'Or Institute for Research and Education (IDOR), Rio de Janeiro, Brazil.,Turner Institute for Brain and Mental Health and School of Psychological Sciences, Monash University, Clayton, VIC, Australia.,Obsessive, Compulsive, and Anxiety Spectrum Research Program, Institute of Psychiatry, Federal University of Rio de Janeiro, Rio de Janeiro, Brazil
| | - Fernanda Tovar-Moll
- D'Or Institute for Research and Education (IDOR), Rio de Janeiro, Brazil.,Institute of Biomedical Sciences (ICB), Federal University of Rio de Janeiro, Rio de Janeiro, Brazil
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11
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Sertraline Effects on Striatal Resting-State Functional Connectivity in Youth With Obsessive-Compulsive Disorder: A Pilot Study. J Am Acad Child Adolesc Psychiatry 2019; 58:486-495. [PMID: 30768407 PMCID: PMC6487209 DOI: 10.1016/j.jaac.2018.07.897] [Citation(s) in RCA: 16] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/12/2018] [Revised: 07/23/2018] [Accepted: 08/15/2018] [Indexed: 11/22/2022]
Abstract
OBJECTIVE Foundational knowledge on neural circuitry underlying pediatric obsessive-compulsive disorder (OCD) and how it changes during standard treatment is needed to provide the basis for conceptualization and development of novel targeted treatments. This study explored the effects of sertraline, a selective serotonin reuptake inhibitor, on resting-state functional connectivity in cortico-striatal-thalamic-cortical circuits in pediatric OCD. METHOD Medication-free youths with OCD (n = 14) and healthy controls (n = 14) were examined at baseline and 12 weeks with resting-state functional magnetic resonance imaging. Between scan sessions, participants with OCD received 12 weeks of sertraline. For each scan, seed-based whole-brain resting-state functional connectivity analyses were conducted with 6 striatal seeds. Analysis of variance examined the interaction between group and time on striatal connectivity, including cluster-based thresholding to correct for multiple tests. Connectivity changes within circuits identified in group analyses were correlated with clinical change. RESULTS Two significant group-by-time effects in the OCD group showed increased striatal connectivity from baseline to 12 weeks compared with controls. Circuits demonstrating this pattern included the right putamen with the left frontal cortex and insula and the left putamen with the left frontal cortex and pre- and post-central cortices. Increase in connectivity in the left putamen circuit was significantly correlated with clinical improvement on the Children's Yale-Brown Obsessive-Compulsive Scale score (r = -0.58, p = .03). CONCLUSION Sertraline appears to affect specific striatal-based circuits in pediatric OCD, and these changes in part could account for clinical improvement. Future work is needed to confirm these preliminary findings, which would facilitate identification of circuit-based targets for novel treatment development. CLINICAL TRIAL REGISTRATION INFORMATION Effects of Sertraline on Brain Connectivity in Adolescents with OCD; https://clinicaltrials.gov/; NCT02797808.
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12
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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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13
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Romer AL, Knodt AR, Houts R, Brigidi BD, Moffitt TE, Caspi A, Hariri AR. Structural alterations within cerebellar circuitry are associated with general liability for common mental disorders. Mol Psychiatry 2018; 23:1084-1090. [PMID: 28397842 PMCID: PMC5636639 DOI: 10.1038/mp.2017.57] [Citation(s) in RCA: 92] [Impact Index Per Article: 15.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/11/2016] [Revised: 02/07/2017] [Accepted: 02/10/2017] [Indexed: 12/31/2022]
Abstract
Accumulating mental-health research encourages a shift in focus toward transdiagnostic dimensional features that are shared across categorical disorders. In support of this shift, recent studies have identified a general liability factor for psychopathology-sometimes called the 'p factor'- that underlies shared risk for a wide range of mental disorders. Identifying neural correlates of this general liability would substantiate its importance in characterizing the shared origins of mental disorders and help us begin to understand the mechanisms through which the 'p factor' contributes to risk. Here we believe we first replicate the 'p factor' using cross-sectional data from a volunteer sample of 1246 university students, and then using high-resolution multimodal structural neuroimaging, we demonstrate that individuals with higher 'p factor' scores show reduced structural integrity of white matter pathways, as indexed by lower fractional anisotropy values, uniquely within the pons. Whole-brain analyses further revealed that higher 'p factor' scores are associated with reduced gray matter volume in the occipital lobe and left cerebellar lobule VIIb, which is functionally connected with prefrontal regions supporting cognitive control. Consistent with the preponderance of cerebellar afferents within the pons, we observed a significant positive correlation between the white matter integrity of the pons and cerebellar gray matter volume associated with higher 'p factor' scores. The results of our analyses provide initial evidence that structural alterations in corticocerebellar circuitry supporting core functions related to the basic integration, coordination and monitoring of information may contribute to a general liability for common mental disorders.
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Affiliation(s)
- Adrienne L. Romer
- Laboratory of NeuroGenetics, Department of Psychology & Neuroscience, Duke University, Durham, NC 27705 USA,Department of Psychology & Neuroscience, Duke University, Durham, NC 27705 USA
| | - Annchen R. Knodt
- Laboratory of NeuroGenetics, Department of Psychology & Neuroscience, Duke University, Durham, NC 27705 USA,Department of Psychology & Neuroscience, Duke University, Durham, NC 27705 USA
| | - Renate Houts
- Department of Psychology & Neuroscience, Duke University, Durham, NC 27705 USA
| | - Bartholomew D. Brigidi
- Laboratory of NeuroGenetics, Department of Psychology & Neuroscience, Duke University, Durham, NC 27705 USA
| | - Terrie E. Moffitt
- Department of Psychology & Neuroscience, Duke University, Durham, NC 27705 USA,Department of Psychiatry & Behavioral Sciences, Duke University School of Medicine, Durham, NC 27705 USA,Center for Genomic and Computational Biology, Duke University, Durham, NC 27705 USA,Social, Genetic, and Developmental Psychiatry Research Center, Institute of Psychiatry, Psychology & Neuroscience, King’s College London, England
| | - Avshalom Caspi
- Department of Psychology & Neuroscience, Duke University, Durham, NC 27705 USA,Department of Psychiatry & Behavioral Sciences, Duke University School of Medicine, Durham, NC 27705 USA,Center for Genomic and Computational Biology, Duke University, Durham, NC 27705 USA,Social, Genetic, and Developmental Psychiatry Research Center, Institute of Psychiatry, Psychology & Neuroscience, King’s College London, England
| | - Ahmad R. Hariri
- Laboratory of NeuroGenetics, Department of Psychology & Neuroscience, Duke University, Durham, NC 27705 USA,Department of Psychology & Neuroscience, Duke University, Durham, NC 27705 USA
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14
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Moody TD, Morfini F, Cheng G, Sheen C, Tadayonnejad R, Reggente N, O'Neill J, Feusner JD. Mechanisms of cognitive-behavioral therapy for obsessive-compulsive disorder involve robust and extensive increases in brain network connectivity. Transl Psychiatry 2017; 7:e1230. [PMID: 28872637 PMCID: PMC5639240 DOI: 10.1038/tp.2017.192] [Citation(s) in RCA: 34] [Impact Index Per Article: 4.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/17/2017] [Accepted: 06/13/2017] [Indexed: 12/28/2022] Open
Abstract
Cognitive-behavioral therapy (CBT) is effective for obsessive compulsive disorder (OCD); however, little is understood about its mechanisms related to brain network connectivity. We examined connectivity changes from resting-state functional magnetic resonance imaging data pre-to-post-CBT in 43 OCD participants, randomized to receive either 4 weeks of intensive CBT or 4 weeks waitlist followed by 4 weeks of CBT, and 24 healthy controls before and after 4 weeks of no treatment. Network-based-statistic analysis revealed large-magnitude increases in OCD connectivity in eight networks. Strongest increases involved connectivity between the cerebellum and caudate/putamen, and between the cerebellum and dorsolateral/ventrolateral prefrontal cortices. Connectivity increases were associated with increased resistance to compulsions. Mechanisms of CBT may involve enhanced cross-network integration, both within and outside of classical cortico-striatal-thalamo-cortical regions; those involving cerebellar to striatal and prefrontal regions may reflect acquisition of new non-compulsive goal-directed behaviors and thought patterns. Our findings have implications for identifying targets for enhancing treatment efficacy and monitoring treatment progress.
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Affiliation(s)
- T D Moody
- Department of Psychiatry and Biobehavioral Sciences, David Geffen School of Medicine at UCLA, Los Angeles, CA, USA,UCLA Semel Institute, Box 951759, Westwood Boulevard 27-465, Los Angeles, CA 90095-1759, USA. E-mail:
| | - F Morfini
- Department of Psychiatry and Biobehavioral Sciences, David Geffen School of Medicine at UCLA, Los Angeles, CA, USA
| | - G Cheng
- Department of Psychiatry and Biobehavioral Sciences, David Geffen School of Medicine at UCLA, Los Angeles, CA, USA
| | - C Sheen
- Department of Psychiatry and Biobehavioral Sciences, David Geffen School of Medicine at UCLA, Los Angeles, CA, USA
| | - R Tadayonnejad
- Department of Psychiatry and Biobehavioral Sciences, David Geffen School of Medicine at UCLA, Los Angeles, CA, USA
| | - N Reggente
- Department of Psychology, University of California Los Angeles, Los Angeles, CA, USA
| | - J O'Neill
- Department of Psychiatry and Biobehavioral Sciences, David Geffen School of Medicine at UCLA, Los Angeles, CA, USA
| | - J D Feusner
- Department of Psychiatry and Biobehavioral Sciences, David Geffen School of Medicine at UCLA, Los Angeles, CA, USA
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15
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Ortiz AE, Gassó P, Mas S, Falcon C, Bargalló N, Lafuente A, Lázaro L. Association between genetic variants of serotonergic and glutamatergic pathways and the concentration of neurometabolites of the anterior cingulate cortex in paediatric patients with obsessive-compulsive disorder. World J Biol Psychiatry 2016; 17:394-404. [PMID: 26505676 DOI: 10.3109/15622975.2015.1111524] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
Abstract
OBJECTIVES The present study aimed to assess the relationship between variability in genes related to the pathophysiology of obsessive-compulsive disorder (OCD) and the concentration of different neurometabolites in the anterior cingulate cortex (ACC). METHODS We concomitantly assessed neurometabolite concentrations using 3-T (1)H-MRS and 262 single nucleotide polymorphism (SNPs) in 35 genes in 41 paediatric OCD patients. RESULTS There were significant associations, after Bonferroni correction, between the concentration of inositol, glutamate and glutamine, and total choline and five polymorphisms located in genes related to serotonin and glutamate (i.e., the vesicular monoamine transporter 1 gene, SLC18A1 [rs6586896]; the serotonin receptor 1B gene, HTR1B [rs6296 and rs6298]; and the glutamate receptor, ionotropic, AMPA1 gene, GRIA1 [rs707176 and rs2963944]). CONCLUSIONS The association observed between these polymorphisms and the neurometabolite concentrations could indicate the presence of a biological interaction between the serotonin and the glutamate pathways that could be involved in the pathophysiology of OCD. More studies with this methodology could increase our understanding of the aetiology and pathophysiology of OCD in children.
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Affiliation(s)
- Ana E Ortiz
- a Department of Child and Adolescent Psychiatry and Psychology , Institute of Neurosciences, Hospital Clínic , Barcelona , Spain
| | - Patricia Gassó
- b Department Anatomic Pathology, Pharmacology and Microbiology , University of Barcelona, Barcelona , Spain ;,f Institut D'investigacions Biomèdiques August Pi I Sunyer (IDIBAPS) , Barcelona , Spain
| | - Sergi Mas
- b Department Anatomic Pathology, Pharmacology and Microbiology , University of Barcelona, Barcelona , Spain ;,f Institut D'investigacions Biomèdiques August Pi I Sunyer (IDIBAPS) , Barcelona , Spain ;,g Centro De Investigación Biomédica En Red De Salud Mental (CIBERSAM) , Spain
| | | | - Nuria Bargalló
- c Magnetic Resonance Image Core Facility. IDIBAPS (Institut D'investigacions Biomèdiques August Pi I Sunyer) , Barcelona , Spain ;,d Image Diagnostic Center, Hospital Clínic , Barcelona , Spain ;,g Centro De Investigación Biomédica En Red De Salud Mental (CIBERSAM) , Spain
| | - Amalia Lafuente
- b Department Anatomic Pathology, Pharmacology and Microbiology , University of Barcelona, Barcelona , Spain ;,f Institut D'investigacions Biomèdiques August Pi I Sunyer (IDIBAPS) , Barcelona , Spain ;,g Centro De Investigación Biomédica En Red De Salud Mental (CIBERSAM) , Spain
| | - Luisa Lázaro
- a Department of Child and Adolescent Psychiatry and Psychology , Institute of Neurosciences, Hospital Clínic , Barcelona , Spain ;,e Department Psychiatry and Clinical Psychobiology , University of Barcelona , Barcelona , Spain ;,f Institut D'investigacions Biomèdiques August Pi I Sunyer (IDIBAPS) , Barcelona , Spain ;,g Centro De Investigación Biomédica En Red De Salud Mental (CIBERSAM) , Spain
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16
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Mas S, Gassó P, Morer A, Calvo A, Bargalló N, Lafuente A, Lázaro L. Integrating Genetic, Neuropsychological and Neuroimaging Data to Model Early-Onset Obsessive Compulsive Disorder Severity. PLoS One 2016; 11:e0153846. [PMID: 27093171 PMCID: PMC4836736 DOI: 10.1371/journal.pone.0153846] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2015] [Accepted: 04/05/2016] [Indexed: 01/03/2023] Open
Abstract
We propose an integrative approach that combines structural magnetic resonance imaging data (MRI), diffusion tensor imaging data (DTI), neuropsychological data, and genetic data to predict early-onset obsessive compulsive disorder (OCD) severity. From a cohort of 87 patients, 56 with complete information were used in the present analysis. First, we performed a multivariate genetic association analysis of OCD severity with 266 genetic polymorphisms. This association analysis was used to select and prioritize the SNPs that would be included in the model. Second, we split the sample into a training set (N = 38) and a validation set (N = 18). Third, entropy-based measures of information gain were used for feature selection with the training subset. Fourth, the selected features were fed into two supervised methods of class prediction based on machine learning, using the leave-one-out procedure with the training set. Finally, the resulting model was validated with the validation set. Nine variables were used for the creation of the OCD severity predictor, including six genetic polymorphisms and three variables from the neuropsychological data. The developed model classified child and adolescent patients with OCD by disease severity with an accuracy of 0.90 in the testing set and 0.70 in the validation sample. Above its clinical applicability, the combination of particular neuropsychological, neuroimaging, and genetic characteristics could enhance our understanding of the neurobiological basis of the disorder.
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Affiliation(s)
- Sergi Mas
- Dept. Anatomic Pathology, Pharmacology and Microbiology, University of Barcelona, Barcelona, Spain
- Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Barcelona, Spain
- Institut d’Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain
- * E-mail:
| | - Patricia Gassó
- Dept. Anatomic Pathology, Pharmacology and Microbiology, University of Barcelona, Barcelona, Spain
- Institut d’Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain
| | - Astrid Morer
- Department of Child and Adolescent Psychiatry and Psychology, Institute of Neurosciences, Hospital Clinic de Barcelona, Barcelona, Spain
- Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Barcelona, Spain
- Institut d’Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain
| | - Anna Calvo
- Magnetic Resonance Image Core Facility, Institut d’Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain
- Institut d’Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain
| | - Nuria Bargalló
- Department of Radiology, Centre de Diagnostic per la Imatge, Hospital Clínic, Barcelona, Spain
- Institut d’Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain
| | - Amalia Lafuente
- Dept. Anatomic Pathology, Pharmacology and Microbiology, University of Barcelona, Barcelona, Spain
- Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Barcelona, Spain
- Institut d’Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain
| | - Luisa Lázaro
- Department of Child and Adolescent Psychiatry and Psychology, Institute of Neurosciences, Hospital Clinic de Barcelona, Barcelona, Spain
- Dept. Psychiatry and Clinical Psychobiology, University of Barcelona, Barcelona, Spain
- Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Barcelona, Spain
- Institut d’Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain
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