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Zhou Z, Luo Y, Li K, Zhong S, Zhu Y, Yang H, Wang L, Chen S, Duan L, Gong F, Gong G, Zhu H, Pan H. Brain white matter alterations in young adult male patients with childhood-onset growth hormone deficiency: a diffusion tensor imaging study. Endocrine 2024; 83:724-732. [PMID: 37936007 DOI: 10.1007/s12020-023-03583-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/01/2023] [Accepted: 10/22/2023] [Indexed: 11/09/2023]
Abstract
PURPOSE This study aimed to detect white matter changes and different effects of thyroid hormone on the white matter integrity in young adult male patients with childhood-onset growth hormone deficiency (CO-GHD), compared with healthy people. METHODS Magnetic resonance imaging (structural imaging and diffusion tensor imaging) was performed in 17 young adult male patients with CO-GHD and 17 healthy male controls. The white matter volume, mean diffusivity (MD) values and fractional anisotropy (FA) values were quantified and compared between two groups (CO-GHD group vs. control group). We assessed the interaction effects between thyroid hormone and groups (CO-GHD group vs. control group) on white matter integrity. RESULTS Patients with CO-GHD exhibited similar white matter volumes compared with controls. However, compared with the controls, patients with CO-GHD showed a significant reduction in FA values in six clusters and a substantial increase in MD values in four clusters, mainly involving the corticospinal tracts, corpus callosum and so on. Moreover, after correcting for insulin-like growth factor-1 levels, the significant interaction effects between groups (CO-GHD group vs. control group) and serum free thyroxine levels on MD values were noted in three clusters, mainly involving in superior longitudinal fasciculus and sagittal stratum. CONCLUSION In conclusion, young males with CO-GHD showed white matter changes in multiple brain regions and different effects of thyroid hormone on the white matter integrity.
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Affiliation(s)
- Zhibo Zhou
- Key Laboratory of Endocrinology of National Health Commission, Department of Endocrinology, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Beijing, China
| | - Yunyun Luo
- Key Laboratory of Endocrinology of National Health Commission, Department of Endocrinology, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Beijing, China
| | - Kang Li
- Beijing First Hospital of Integrated Chinese and Western Medicine, Beijing, China
| | - Suyu Zhong
- School of Artificial Intelligence, Beijing University of Posts and Telecommunications, Beijing, China
| | - Yanlin Zhu
- School of Arts and Communication, Beijing Normal University, Beijing, China
| | - Hongbo Yang
- Key Laboratory of Endocrinology of National Health Commission, Department of Endocrinology, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Beijing, China
| | - Linjie Wang
- Key Laboratory of Endocrinology of National Health Commission, Department of Endocrinology, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Beijing, China
| | - Shi Chen
- Key Laboratory of Endocrinology of National Health Commission, Department of Endocrinology, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Beijing, China
| | - Lian Duan
- Key Laboratory of Endocrinology of National Health Commission, Department of Endocrinology, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Beijing, China
| | - Fengying Gong
- Key Laboratory of Endocrinology of National Health Commission, Department of Endocrinology, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Beijing, China
| | - Gaolang Gong
- State Key Laboratory of Cognitive Neuroscience and Learning, IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, China
| | - Huijuan Zhu
- Key Laboratory of Endocrinology of National Health Commission, Department of Endocrinology, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Beijing, China.
| | - Hui Pan
- Key Laboratory of Endocrinology of National Health Commission, Department of Endocrinology, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Beijing, 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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Li X, Li H, Jiang X, Li J, Cao L, Liu J, Xing H, Huang X, Gong Q. Characterizing multiscale modular structures in medication-free obsessive-compulsive disorder patients with no comorbidity. Hum Brain Mapp 2022; 43:2391-2399. [PMID: 35170143 PMCID: PMC8996347 DOI: 10.1002/hbm.25794] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/22/2021] [Revised: 01/03/2022] [Accepted: 01/21/2022] [Indexed: 02/05/2023] Open
Abstract
Brain networks exhibit signatures of modular structure, which maintains a fine trade‐off between wiring cost and efficiency of information transmission. Alterations in modular structure have been found in patients with obsessive–compulsive disorder (OCD). However, previous studies were focused on a single scale (i.e., modularity or intra/intermodular connectivity) for investigation. Here, we recruited 92 OCD patients and 90 healthy controls. A comprehensive analysis was performed on modular architecture alterations in the voxelwise functional connectome at the “global” (modularity), “meso” (modular segregation and within‐ and between‐module connections), and “local” (participation coefficients, PC) scales. We also examined the correlation between modular structure metrics and clinical symptoms. The findings revealed that (1) there was no significant group difference in global modularity; (2) both primary modules (visual network, sensorimotor network) and high‐order modules (dorsal attention network, frontoparietal network) exhibited lower modular segregation in OCD patients, which was mainly driven by increased numbers of between‐module connections; and (3) OCD patients showed higher PC in several connectors including the bilateral middle occipital gyri, left medial orbital frontal gyrus, left superior frontal gyrus, left posterior cingulate gyrus, right superior temporal gyrus and right middle frontal gyrus, and lower PC in the right lingual gyrus. Moreover, these alterations in modular structure were associated with clinical symptoms in patients. Our findings provide further insights into the involvement of different modules in functional network dysfunction in OCD from a connectomic perspective and suggest a synergetic mechanism of module interactions that may be related to the pathophysiology of OCD.
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Affiliation(s)
- Xue Li
- College of Physics, Sichuan University, Chengdu, China.,Huaxi MR Research Center (HMRRC), Department of Radiology, West China Hospital of Sichuan University, Chengdu, China
| | - Hailong Li
- Huaxi MR Research Center (HMRRC), Department of Radiology, West China Hospital of Sichuan University, Chengdu, China.,Research Unit of Psychoradiology, Chinese Academy of Medical Sciences, Chengdu, China
| | - Xi Jiang
- College of Physics, Sichuan University, Chengdu, China
| | - Jing Li
- Huaxi MR Research Center (HMRRC), Department of Radiology, West China Hospital of Sichuan University, Chengdu, China
| | - Lingxiao Cao
- Huaxi MR Research Center (HMRRC), Department of Radiology, West China Hospital of Sichuan University, Chengdu, China.,Research Unit of Psychoradiology, Chinese Academy of Medical Sciences, Chengdu, China
| | - Jing Liu
- Huaxi MR Research Center (HMRRC), Department of Radiology, West China Hospital of Sichuan University, Chengdu, China.,Research Unit of Psychoradiology, Chinese Academy of Medical Sciences, Chengdu, China
| | - Haoyang Xing
- College of Physics, Sichuan University, Chengdu, China.,Huaxi MR Research Center (HMRRC), Department of Radiology, West China Hospital of Sichuan University, Chengdu, China.,Research Unit of Psychoradiology, Chinese Academy of Medical Sciences, Chengdu, China
| | - Xiaoqi Huang
- Huaxi MR Research Center (HMRRC), Department of Radiology, West China Hospital of Sichuan University, Chengdu, China.,Research Unit of Psychoradiology, Chinese Academy of Medical Sciences, Chengdu, China
| | - Qiyong Gong
- Huaxi MR Research Center (HMRRC), Department of Radiology, West China Hospital of Sichuan University, Chengdu, China.,Research Unit of Psychoradiology, Chinese Academy of Medical Sciences, Chengdu, China
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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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6
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Zai G, Arnold PD, Richter MA, Hanna GL, Rosenberg D, Kennedy JL. An association of Myelin Oligodendrocyte Glycoprotein (MOG) gene variants with white matter volume in pediatric obsessive-compulsive disorder. Psychiatry Res Neuroimaging 2021; 307:111231. [PMID: 33302097 PMCID: PMC7775903 DOI: 10.1016/j.pscychresns.2020.111231] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/10/2020] [Revised: 11/17/2020] [Accepted: 11/20/2020] [Indexed: 10/22/2022]
Abstract
An increasing number of neuroimaging studies have implicated alterations of white matter in obsessive-compulsive disorder (OCD). The myelin oligodendrocyte glycoprotein (MOG) gene plays a major role in myelination, and has previously demonstrated significant association with this disorder, thus variations in this gene may contribute to observed white matter alterations. The purpose of this study is to examine the relationship between white matter volume in OCD and genetic variations in the MOG gene. Two polymorphisms in the MOG gene, MOG(C1334T) and MOG(C10991T), were investigated for association with total white matter volume as measured using volumetric magnetic resonance imaging in 37 pediatric OCD patients. We compared white matter volumes between allele and genotype groups for each polymorphism using ANCOVA. A significant relationship was detected between genotype C/C of MOG(C10991T) and decreased total white matter volume (P = 0.016). Our results showed an association between a MOG genetic variant and white matter volume. This finding is intriguing in light of the posited role of white matter alteration in the etiology of at least some cases of childhood-onset OCD. Further investigation with larger samples and sub-regional white matter volume phenotypes is warranted.
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Affiliation(s)
- Gwyneth Zai
- Tanenbaum Centre for Pharmacogenetics, Molecular Brain Science Department, Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, 250 College Street, Toronto, ON M5T 1R8, Canada; Department of Psychiatry, University of Toronto, Toronto, ON M5T 1R8, Canada; Institute of Medical Science, Faculty of Medicine, University of Toronto, Toronto, ON M5S 1A8, Canada.
| | - Paul D Arnold
- The Mathison Centre for Mental Health Research & Education, Hotchkiss Brain Institute, Cumming School of Medicine, University of Calgary, AB T2N 4N1, Canada; Program in Genetics and Genomic Biology and Department of Psychiatry, The Hospital for Sick Children, Toronto ON M5G 1 × 8, Canada
| | - Margaret A Richter
- Department of Psychiatry, University of Toronto, Toronto, ON M5T 1R8, Canada; Institute of Medical Science, Faculty of Medicine, University of Toronto, Toronto, ON M5S 1A8, Canada; Frederick W. Thompson Anxiety Disorders Centre, Department of Psychiatry, Sunnybrook Health Science Centre, Toronto ON M4N 3M5, Canada
| | - Gregory L Hanna
- Department of Psychiatry, University of Michigan, Ann Arbor, Michigan 48109, United States
| | - David Rosenberg
- Department of Psychiatry & Behavioral Neurosciences, Wayne State University, Detroit, Michigan 48201, United States
| | - James L Kennedy
- Tanenbaum Centre for Pharmacogenetics, Molecular Brain Science Department, Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, 250 College Street, Toronto, ON M5T 1R8, Canada; Department of Psychiatry, University of Toronto, Toronto, ON M5T 1R8, Canada; Institute of Medical Science, Faculty of Medicine, University of Toronto, Toronto, ON M5S 1A8, Canada
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7
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The effects of cognitive behavioral therapy on the whole brain structural connectome in unmedicated patients with obsessive-compulsive disorder. Prog Neuropsychopharmacol Biol Psychiatry 2021; 104:110037. [PMID: 32682876 DOI: 10.1016/j.pnpbp.2020.110037] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/10/2020] [Revised: 05/09/2020] [Accepted: 07/12/2020] [Indexed: 02/06/2023]
Abstract
Cognitive behavioral therapy (CBT) is considered a first-line treatment for patients with obsessive-compulsive disorder (OCD), and it possesses advantages over pharmacological treatments in stronger tolerance to distress, lower rates of drop out and relapse, and no physical "side-effects". Previous studies have reported CBT-related alterations in focal brain regions and connections. However, the effects of CBT on whole-brain structural networks have not yet been elucidated. Here, we collected diffusion MRI data from 34 unmedicated OCD patients before and after 12 weeks of CBT. Fifty healthy controls (HCs) were also scanned twice at matched intervals. We constructed individual brain white matter connectome and performed a graph-theoretical network analysis to investigate the effects of CBT on whole-brain structural topology. We observed significant group-by-time interactions on the global network clustering coefficient and the nodal clustering of the left lingual gyrus, the left middle temporal gyrus, the left precuneus, and the left fusiform gyrus of 26 CBT responders in OCD patients. Further analysis revealed that these CBT responders showed prominently higher global and nodal clustering compared to HCs at baseline and reduced to normal levels after CBT. Such significant changes in the nodal clustering of the left lingual gyrus were also found in 8 CBT non-responders. The pre-to-post decreases in nodal clustering of the left lingual gyrus and the left fusiform gyrus positively correlated with the improvements in obsessive-compulsive symptoms in the CBT-responding patients. These findings indicated that the network segregation of the whole-brain white matter network in OCD patients was abnormally higher and might recover to normal after CBT, which provides mechanistic insights into the CBT response in OCD and potential imaging biomarkers for clinical practice.
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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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Relationship between symptom dimensions and white matter alterations in untreated patients with obsessive-compulsive disorder: a diffusion tensor imaging study. Neuroreport 2020; 31:891-896. [PMID: 32427801 DOI: 10.1097/wnr.0000000000001460] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
Abstract
The aim of the study was explore how the white matter structure changes and obsessive-compulsive disorder (OCD) symptom dimensions are related. We recruited 46 untreated adult patients with OCD, and 46 healthy controls matched for gender, age, and education. The patients were classified according to symptom dimensions assessed by the four-factor model. Diffusion tensor imaging (DTI) was employed to evaluate brain structural alterations in patients with OCD, and DTI data were processed using voxel-based morphometry (VBM) analysis. In comparison with healthy controls, there was a significant decreased fractional anisotropy of patients with OCD in several white matter regions of the cingulate gyrus and left inferior frontal gyrus. When stratified by symptom dimensions, patients presenting with the contamination/cleaning dimension had significantly lower fractional anisotropy in the white matter areas of the right insula and the left thalamus than the healthy controls. Whereas harm/checking symptom dimension patients exhibited a significant decrease of fractional anisotropy in the white matter regions of the right hippocampus. Our study has clear implications for the idea that OCD can be seen as a heterogeneous disorder, and symptom dimensions in patients with OCD are relevant to various white matter alterations patterns.
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Hazari N, Narayanaswamy JC, Venkatasubramanian G. Neuroimaging findings in obsessive-compulsive disorder: A narrative review to elucidate neurobiological underpinnings. Indian J Psychiatry 2019; 61:S9-S29. [PMID: 30745673 PMCID: PMC6343409 DOI: 10.4103/psychiatry.indianjpsychiatry_525_18] [Citation(s) in RCA: 31] [Impact Index Per Article: 6.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/04/2022] Open
Abstract
Obsessive compulsive disorder (OCD) is a common psychiatric illness and significant research has been ongoing to understand its neurobiological basis. Neuroimaging studies right from the 1980s have revealed significant differences between OCD patients and healthy controls. Initial imaging findings showing hyperactivity in the prefrontal cortex (mainly orbitofrontal cortex), anterior cingulate cortex and caudate nucleus led to the postulation of the cortico-striato-thalamo-cortical (CSTC) model for the neurobiology of OCD. However, in the last two decades emerging evidence suggests the involvement of widespread associative networks, including regions of the parietal cortex, limbic areas (including amygdala) and cerebellum. This narrative review discusses findings from structural [Magnetic Resonance Imaging (MRI), Diffusion Tensor Imaging(DTI)], functional [(functional MRI (fMRI), Single photon emission computed tomography (SPECT), Positron emission tomography (PET), functional near-infrared spectroscopy (fNIRS)], combined structural and functional imaging studies and meta-analyses. Subsequently, we collate these findings to describe the neurobiology of OCD including CSTC circuit, limbic system, parietal cortex, cerebellum, default mode network and salience network. In future, neuroimaging may emerge as a valuable tool for personalised medicine in OCD treatment.
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Affiliation(s)
- Nandita Hazari
- Department of Psychiatry, Vidyasagar Institute of Mental Health and Neurosciences, Delhi, India
| | - Janardhanan C Narayanaswamy
- Department of Psychiatry, OCD Clinic, National Institute of Mental Health and Neurosciences, Bengaluru, Karnataka, India
| | - Ganesan Venkatasubramanian
- Department of Psychiatry, OCD Clinic, National Institute of Mental Health and Neurosciences, Bengaluru, Karnataka, India
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