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Teles M, Maximo JO, Lahti AC, Kraguljac NV. Topological Perturbations in the Functional Connectome Support the Deficit/Non-deficit Distinction in Antipsychotic Medication-Naïve First Episode Psychosis Patients. Schizophr Bull 2024; 50:839-847. [PMID: 38666705 PMCID: PMC11283198 DOI: 10.1093/schbul/sbae054] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 06/11/2024]
Abstract
BACKGROUND Heterogeneity in the etiology, pathophysiology, and clinical features of schizophrenia challenges clinicians and researchers. A helpful approach could be stratifying patients according to the presence or absence of clinical features of the deficit syndrome (DS). DS is characterized by enduring and primary negative symptoms, a clinically less heterogeneous subtype of the illness, and patients with features of DS are thought to present abnormal brain network characteristics, however, this idea has received limited attention. We investigated functional brain network topology in patients displaying deficit features and those who do not. DESIGN We applied graph theory analytics to resting-state functional magnetic resonance imaging data of 61 antipsychotic medication-naïve first episode psychosis patients, 18 DS and 43 non-deficit schizophrenia (NDS), and 72 healthy controls (HC). We quantified small-worldness, global and nodal efficiency measures, shortest path length, nodal local efficiency, and synchronization and contrasted them among the 3 groups. RESULTS DS presented decreased network integration and segregation compared to HC and NDS. DS showed lower global efficiency, longer global path lengths, and lower global local efficiency. Nodal efficiency was lower and the shortest path length was longer in DS in default mode, ventral attention, dorsal attention, frontoparietal, limbic, somatomotor, and visual networks compared to HC. Compared to NDS, DS showed lower efficiency and longer shortest path length in default mode, limbic, somatomotor, and visual networks. CONCLUSIONS Our data supports increasing evidence, based on topological perturbations of the functional connectome, that deficit syndrome may be a distinct form of the illness.
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Affiliation(s)
- Matheus Teles
- Department of Psychology, University of Alabama at Birmingham, Birmingham, AL, USA
| | - Jose Omar Maximo
- Department of Psychiatry and Behavioral Neurobiology, University of Alabama at Birmingham, Birmingham, AL, USA
| | - Adrienne Carol Lahti
- Department of Psychiatry and Behavioral Neurobiology, University of Alabama at Birmingham, Birmingham, AL, USA
| | - Nina Vanessa Kraguljac
- Department of Psychiatry and Behavioral Health, The Ohio State University, Columbus, OH, USA
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2
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Johnson JF, Schwartze M, Belyk M, Pinheiro AP, Kotz SA. Variability in white matter structure relates to hallucination proneness. Neuroimage Clin 2024; 43:103643. [PMID: 39042953 DOI: 10.1016/j.nicl.2024.103643] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/22/2024] [Accepted: 07/15/2024] [Indexed: 07/25/2024]
Abstract
Hallucinations are a prominent transdiagnostic psychiatric symptom but are also prevalent in individuals who do not require clinical care. Moreover, persistent psychosis-like experience in otherwise healthy individuals may be related to an increased risk to transition to a psychotic disorder. This suggests a common etiology across clinical and non-clinical individuals along a multidimensional psychosis continuum that may be detectable in structural variations of the brain. The current diffusion tensor imaging study assessed 50 healthy individuals (35 females) to identify possible differences in white matter associated with hallucination proneness (HP). This approach circumvents potential confounds related to medication, hospitalization, and disease progression common in clinical individuals. We determined how HP relates to white matter structure in selected association, commissural, and projection fiber pathways putatively linked to psychosis. Increased HP was associated with enhanced fractional anisotropy (FA) in the right uncinate fasciculus, the right anterior and posterior arcuate fasciculus, and the corpus callosum. These findings support the notion of a psychosis continuum, providing first evidence of structural white matter variability associated with HP in healthy individuals. Furthermore, alterations in the targeted pathways likely indicate an association between HP-related structural variations and the putative salience and attention mechanisms that these pathways subserve.
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Affiliation(s)
- Joseph F Johnson
- Université Libre de Bruxelles, Center for Research in Cognition & Neurosciences, Bruxelles, Belgium; University of Maastricht, Department of Neuropsychology and Psychopharmacology, Maastricht, The Netherlands
| | - Michael Schwartze
- University of Maastricht, Department of Neuropsychology and Psychopharmacology, Maastricht, The Netherlands
| | - Michel Belyk
- Edge Hill University, Department of Psychology, Ormskirk, United Kingdom
| | - Ana P Pinheiro
- Faculdade de Psicologia, Universidade de Lisboa, Lisboa, Portugal
| | - Sonja A Kotz
- University of Maastricht, Department of Neuropsychology and Psychopharmacology, Maastricht, The Netherlands; Max Planck Institute for Human and Cognitive Sciences, Department of Neuropsychology, Leipzig, Germany.
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3
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Nosaka R, Ushida T, Kidokoro H, Kawaguchi M, Shiraki A, Iitani Y, Imai K, Nakamura N, Sato Y, Hayakawa M, Natsume J, Kajiyama H, Kotani T. Intrauterine exposure to chorioamnionitis and neuroanatomical alterations at term-equivalent age in preterm infants. Arch Gynecol Obstet 2024; 309:1909-1918. [PMID: 37178219 DOI: 10.1007/s00404-023-07064-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/15/2022] [Accepted: 05/01/2023] [Indexed: 05/15/2023]
Abstract
PURPOSE Infants born to mothers with chorioamnionitis (CAM) are at increased risk of developing adverse neurodevelopmental disorders in later life. However, clinical magnetic resonance imaging (MRI) studies examining brain injuries and neuroanatomical alterations attributed to CAM have yielded inconsistent results. We aimed to determine whether exposure to histological CAM in utero leads to brain injuries and alterations in the neuroanatomy of preterm infants using 3.0- Tesla MRI at term-equivalent age. METHODS A total of 58 preterm infants born before 34 weeks of gestation at Nagoya University Hospital between 2010 and 2018 were eligible for this study (CAM group, n = 21; non-CAM group, n = 37). Brain injuries and abnormalities were assessed using the Kidokoro Global Brain Abnormality Scoring system. Gray matter, white matter, and subcortical gray matter (thalamus, caudate nucleus, putamen, pallidum, hippocampus, amygdala, and nucleus accumbens) volumes were evaluated using segmentation tools (SPM12 and Infant FreeSurfer). RESULTS The Kidokoro scores for each category and severity in the CAM group were comparable to those observed in the non-CAM group. White matter volume was significantly smaller in the CAM group after adjusting for covariates (postmenstrual age at MRI, infant sex, and gestational age) (p = 0.007), whereas gray matter volume was not significantly different. Multiple linear regression analyses revealed significantly smaller volumes in the bilateral pallidums (right, p = 0.045; left, p = 0.038) and nucleus accumbens (right, p = 0.030; left, p = 0.004) after adjusting for covariates. CONCLUSIONS Preterm infants born to mothers with histological CAM showed smaller volumes in white matter, pallidum, and nucleus accumbens at term-equivalent age.
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Affiliation(s)
- Rena Nosaka
- Department of Obstetrics and Gynecology, Nagoya University Graduate School of Medicine, 65 Tsurumai-cho, Showa-ku, Nagoya, 466-8550, Japan
| | - Takafumi Ushida
- Department of Obstetrics and Gynecology, Nagoya University Graduate School of Medicine, 65 Tsurumai-cho, Showa-ku, Nagoya, 466-8550, Japan.
- Division of Perinatology, Center for Maternal-Neonatal Care, Nagoya University Hospital, Nagoya, Japan.
| | - Hiroyuki Kidokoro
- Department of Pediatrics, Nagoya University Graduate School of Medicine, Nagoya, Japan
| | - Masahiro Kawaguchi
- Department of Pediatrics, Nagoya University Graduate School of Medicine, Nagoya, Japan
- Division of Neurology, Aichi Children's Health and Medical Center, Obu, Aichi, Japan
| | - Anna Shiraki
- Department of Pediatrics, Nagoya University Graduate School of Medicine, Nagoya, Japan
| | - Yukako Iitani
- Department of Obstetrics and Gynecology, Nagoya University Graduate School of Medicine, 65 Tsurumai-cho, Showa-ku, Nagoya, 466-8550, Japan
| | - Kenji Imai
- Department of Obstetrics and Gynecology, Nagoya University Graduate School of Medicine, 65 Tsurumai-cho, Showa-ku, Nagoya, 466-8550, Japan
| | - Noriyuki Nakamura
- Department of Obstetrics and Gynecology, Nagoya University Graduate School of Medicine, 65 Tsurumai-cho, Showa-ku, Nagoya, 466-8550, Japan
- Department of Obstetrics and Gynecology, Anjo Kosei Hospital, Anjo, Aichi, Japan
| | - Yoshiaki Sato
- Division of Neonatology, Center for Maternal-Neonatal Care, Nagoya University Hospital, Nagoya, Japan
| | - Masahiro Hayakawa
- Division of Neonatology, Center for Maternal-Neonatal Care, Nagoya University Hospital, Nagoya, Japan
| | - Jun Natsume
- Department of Pediatrics, Nagoya University Graduate School of Medicine, Nagoya, Japan
- Department of Developmental Disability Medicine, Nagoya University Graduate School of Medicine, Nagoya, Japan
| | - Hiroaki Kajiyama
- Department of Obstetrics and Gynecology, Nagoya University Graduate School of Medicine, 65 Tsurumai-cho, Showa-ku, Nagoya, 466-8550, Japan
| | - Tomomi Kotani
- Department of Obstetrics and Gynecology, Nagoya University Graduate School of Medicine, 65 Tsurumai-cho, Showa-ku, Nagoya, 466-8550, Japan
- Division of Perinatology, Center for Maternal-Neonatal Care, Nagoya University Hospital, Nagoya, Japan
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4
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Kittleson AR, Woodward ND, Heckers S, Sheffield JM. The insula: Leveraging cellular and systems-level research to better understand its roles in health and schizophrenia. Neurosci Biobehav Rev 2024; 160:105643. [PMID: 38531518 DOI: 10.1016/j.neubiorev.2024.105643] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/09/2024] [Revised: 03/04/2024] [Accepted: 03/22/2024] [Indexed: 03/28/2024]
Abstract
Schizophrenia is a highly heterogeneous disorder characterized by a multitude of complex and seemingly non-overlapping symptoms. The insular cortex has gained increasing attention in neuroscience and psychiatry due to its involvement in a diverse range of fundamental human experiences and behaviors. This review article provides an overview of the insula's cellular and anatomical organization, functional and structural connectivity, and functional significance. Focusing on specific insula subregions and using knowledge gained from humans and preclinical studies of insular tracings in non-human primates, we review the literature and discuss the functional roles of each subregion, including in somatosensation, interoception, salience processing, emotional processing, and social cognition. Building from this foundation, we then extend these findings to discuss reported abnormalities of these functions in individuals with schizophrenia, implicating insular involvement in schizophrenia pathology. This review underscores the insula's vast role in the human experience and how abnormal insula structure and function could result in the wide-ranging symptoms observed in schizophrenia.
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Affiliation(s)
- Andrew R Kittleson
- Medical Scientist Training Program, Vanderbilt University School of Medicine, Nashville, TN 37235, United States; Department of Psychiatry and Behavioral Sciences, Vanderbilt University Medical Center, Nashville, TN 37232, United States.
| | - Neil D Woodward
- Department of Psychiatry and Behavioral Sciences, Vanderbilt University Medical Center, Nashville, TN 37232, United States.
| | - Stephan Heckers
- Department of Psychiatry and Behavioral Sciences, Vanderbilt University Medical Center, Nashville, TN 37232, United States.
| | - Julia M Sheffield
- Department of Psychiatry and Behavioral Sciences, Vanderbilt University Medical Center, Nashville, TN 37232, United States.
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5
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Türk Y, Devecioğlu İ, Küskün A, Öge C, Beyazyüz E, Albayrak Y. ROI-based analysis of diffusion indices in healthy subjects and subjects with deficit or non-deficit syndrome schizophrenia. Psychiatry Res Neuroimaging 2023; 336:111726. [PMID: 37925764 DOI: 10.1016/j.pscychresns.2023.111726] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/19/2023] [Revised: 09/29/2023] [Accepted: 10/14/2023] [Indexed: 11/07/2023]
Abstract
We analyzed DTI data involving 22 healthy subjects (HC), 15 patients with deficit syndrome schizophrenia (DSZ), and 25 patients with non-deficit syndrome schizophrenia (NDSZ). We used a 1.5-T MRI scanner to collect diffusion-weighted images and T1 images, which were employed to correct distortions and deformations within the diffusion-weighted images. For 156 regions of interest (ROI), we calculated the average fractional anisotropy (FA), mean diffusion (MD), and radial diffusion (RD). Each ROI underwent a group-wise comparison using permutation F-test, followed by post hoc pairwise comparisons with Bonferroni correction. In general, we observed lower FA in both schizophrenia groups compared to HC (i.e., HC>(DSZ=NDSZ)), while MD and RD showed the opposite pattern. Notably, specific ROIs with reduced FA in schizophrenia patients included bilateral nucleus accumbens, left fusiform area, brain stem, anterior corpus callosum, left rostral and caudal anterior cingulate, right posterior cingulate, left thalamus, left hippocampus, left inferior temporal cortex, right superior temporal cortex, left pars triangularis and right lingual gyrus. Significantly, the right cuneus exhibited lower FA in the DSZ group compared to other groups ((HC=NDSZ)>DSZ), without affecting MD and RD. These results indicate that compromised neural integrity in the cuneus may contribute to the pathophysiological distinctions between DSZ and NDSZ.
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Affiliation(s)
- Yaşar Türk
- Radiology Department, Medical Faculty, Tekirdağ Namık Kemal University. Namik Kemal Mh., Kampus Cd., Suleymanpasa, Tekirdag 59100, Turkey; Radiology Department, İstanbul Health and Technology University Hospital, Kaptanpasa Mh., Darulaceze Cd., Sisli, İstanbul 34384, Turkey
| | - İsmail Devecioğlu
- Biomedical Engineering Department, Çorlu Faculty of Engineering, Tekirdağ Namık Kemal University, NKU Corlu Muhendislik Fakultesi, Silahtaraga Mh., Çorlu, Tekirdağ 59860, Turkey.
| | - Atakan Küskün
- Radiology Department, Medical Faculty, Kırklareli University, Cumhuriyet Mh., Kofcaz Yolu, Kayali Yerleskesi, Merkezi Derslikler 2, No 39/L, Merkez, Kırklareli, Turkey
| | - Cem Öge
- Psychiatry Department, Çorlu State Hospital, Zafer, Mah. Bülent Ecevit Blv. No:33, Çorlu, Tekirdağ 59850, Turkey
| | - Elmas Beyazyüz
- Psychiatry Department, Medical Faculty, Tekirdağ Namık Kemal University. Namik Kemal Mh., Kampus Cd., Suleymanpasa, Tekirdag 59100, Turkey
| | - Yakup Albayrak
- Psychiatry Department, Medical Faculty, Tekirdağ Namık Kemal University. Namik Kemal Mh., Kampus Cd., Suleymanpasa, Tekirdag 59100, Turkey
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6
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Wu XS, Kang XW, Li X, Bai LJ, Xi YB, Li Y, Xu YQ, Hu WZ, Yin H, Lv YL. Baseline white matter function predicts short-term treatment response in first-episode schizophrenia. J Neuroimaging 2023. [PMID: 36939186 DOI: 10.1111/jon.13101] [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: 09/27/2022] [Revised: 02/26/2023] [Accepted: 03/06/2023] [Indexed: 03/21/2023] Open
Abstract
BACKGROUND AND PURPOSE The detection and characterization of functional activities in the gray matter of schizophrenia (SZ) have been widely explored. However, the relationship between resting-state functional signals in the white matter of first-episode SZ and short-term treatment response remains unclear. METHODS Thirty-six patients with first-episode SZ and 44 matched healthy controls were recruited in this study. Patients were classified as nonresponders and responders based on response to antipsychotic medication during a single hospitalization. The fractional amplitude of low-frequency fluctuation (fALFF), regional homogeneity (ReHo), and functional connectivity (FC) of white matter were calculated. The relationships between functional changes and clinical features were analyzed. In addition, voxel-based morphometry was performed to analyze the white matter volume. RESULTS One-way analysis of variance showed significant differences of fALFF and ReHo in the left posterior thalamic radiation and left cingulum (hippocampus) in the patient group, and the areas were regarded as seeds. The FC was calculated between seeds and other white matter networks. Compared with responders, nonresponders showed significantly increased FC between the left cingulum (hippocampus) and left posterior thalamic radiation, splenium of corpus callosum, and left tapetum, and were associated with the changes of clinical assessment. However, there was no difference in white matter volume between groups. CONCLUSION Our work provides a novel insight that psycho-neuroimaging-based white matter function holds promise for influencing the clinical diagnosis and treatment of SZ.
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Affiliation(s)
- Xu-Sha Wu
- Department of Radiology, Xi'an People's Hospital (Xi'an Fourth Hospital), Xi'an, China
| | - Xiao-Wei Kang
- Department of Radiology, Xi'an People's Hospital (Xi'an Fourth Hospital), Xi'an, China
| | - Xuan Li
- The Key Laboratory of Biomedical Information Engineering, Ministry of Education, Department of Biomedical Engineering, School of Life Science and Technology, Xi'an Jiaotong University, Xi'an, China
| | - Li-Jun Bai
- The Key Laboratory of Biomedical Information Engineering, Ministry of Education, Department of Biomedical Engineering, School of Life Science and Technology, Xi'an Jiaotong University, Xi'an, China
| | - Yi-Bin Xi
- Department of Radiology, Xi'an People's Hospital (Xi'an Fourth Hospital), Xi'an, China
| | - Yan Li
- Department of Radiology, Xi'an People's Hospital (Xi'an Fourth Hospital), Xi'an, China.,School of Medical Technology, Shaanxi University of Chinese Medicine, Xianyang, China
| | - Yong-Qiang Xu
- Department of Radiology, Xijing Hospital, Fourth Military Medical University, Xi'an, China
| | - Wen-Zhong Hu
- Department of Radiology, Xi'an People's Hospital (Xi'an Fourth Hospital), Xi'an, China.,Department of Radiology, Xijing Hospital, Fourth Military Medical University, Xi'an, China
| | - Hong Yin
- Department of Radiology, Xi'an People's Hospital (Xi'an Fourth Hospital), Xi'an, China
| | - Ya-Li Lv
- Department of Neurology, Xi'an People's Hospital, Xi'an Fourth Hospital, Xi'an, China
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7
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Xu M, Zhang W, Hochwalt P, Yang C, Liu N, Qu J, Sun H, DelBello MP, Lui S, Nery FG. Structural connectivity associated with familial risk for mental illness: A meta‐analysis of diffusion tensor imaging studies in relatives of patients with severe mental disorders. Hum Brain Mapp 2022; 43:2936-2950. [PMID: 35285560 PMCID: PMC9120564 DOI: 10.1002/hbm.25827] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/30/2021] [Revised: 01/23/2022] [Accepted: 02/14/2022] [Indexed: 02/05/2023] Open
Abstract
Schizophrenia (SCZ), bipolar disorder (BD), and major depressive disorder (MDD) are heritable conditions with overlapping genetic liability. Transdiagnostic and disorder‐specific brain changes associated with familial risk for developing these disorders remain poorly understood. We carried out a meta‐analysis of diffusion tensor imaging (DTI) studies to investigate white matter microstructure abnormalities in relatives that might correspond to shared and discrete biomarkers of familial risk for psychotic or mood disorders. A systematic search of PubMed and Embase was performed to identify DTI studies in relatives of SCZ, BD, and MDD patients. Seed‐based d Mapping software was used to investigate global differences in fractional anisotropy (FA) between overall and disorder‐specific relatives and healthy controls (HC). Our search identified 25 studies that met full inclusion criteria. A total of 1,144 relatives and 1,238 HC were included in the meta‐analysis. The overall relatives exhibited decreased FA in the genu and splenium of corpus callosum (CC) compared with HC. This finding was found highly replicable in jack‐knife analysis and subgroup analyses. In disorder‐specific analysis, compared to HC, relatives of SCZ patients exhibited the same changes while those of BD showed reduced FA in the left inferior longitudinal fasciculus (ILF). The present study showed decreased FA in the genu and splenium of CC in relatives of SCZ, BD, and MDD patients, which might represent a shared familial vulnerability marker of severe mental illness. The white matter abnormalities in the left ILF might represent a specific familial risk for bipolar disorder.
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Affiliation(s)
- Mengyuan Xu
- Department of Radiology West China Hospital of Sichuan University Chengdu China
- Research Unit of Psychoradiology Chinese Academy of Medical Sciences Chengdu China
| | - Wenjing Zhang
- Department of Radiology West China Hospital of Sichuan University Chengdu China
- Research Unit of Psychoradiology Chinese Academy of Medical Sciences Chengdu China
| | - Paul Hochwalt
- Department of Psychiatry and Behavioral Neuroscience University of Cincinnati College of Medicine Cincinnati Ohio USA
| | - Chengmin Yang
- Department of Radiology West China Hospital of Sichuan University Chengdu China
- Research Unit of Psychoradiology Chinese Academy of Medical Sciences Chengdu China
| | - Naici Liu
- Department of Radiology West China Hospital of Sichuan University Chengdu China
- Research Unit of Psychoradiology Chinese Academy of Medical Sciences Chengdu China
| | - Jiao Qu
- Department of Radiology West China Hospital of Sichuan University Chengdu China
- Research Unit of Psychoradiology Chinese Academy of Medical Sciences Chengdu China
| | - Hui Sun
- Department of Radiology West China Hospital of Sichuan University Chengdu China
- Research Unit of Psychoradiology Chinese Academy of Medical Sciences Chengdu China
| | - Melissa P. DelBello
- Department of Psychiatry and Behavioral Neuroscience University of Cincinnati College of Medicine Cincinnati Ohio USA
| | - Su Lui
- Department of Radiology West China Hospital of Sichuan University Chengdu China
- Research Unit of Psychoradiology Chinese Academy of Medical Sciences Chengdu China
| | - Fabiano G. Nery
- Department of Psychiatry and Behavioral Neuroscience University of Cincinnati College of Medicine Cincinnati Ohio USA
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8
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Podwalski P, Tyburski E, Szczygieł K, Rudkowski K, Waszczuk K, Andrusewicz W, Kucharska-Mazur J, Michalczyk A, Mak M, Cyranka K, Misiak B, Sagan L, Samochowiec J. Psychopathology and Integrity of the Superior Longitudinal Fasciculus in Deficit and Nondeficit Schizophrenia. Brain Sci 2022; 12:brainsci12020267. [PMID: 35204030 PMCID: PMC8870217 DOI: 10.3390/brainsci12020267] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/10/2022] [Revised: 02/04/2022] [Accepted: 02/12/2022] [Indexed: 01/27/2023] Open
Abstract
The superior longitudinal fasciculus (SLF) is a white matter bundle that connects the frontal areas with the parietal areas. As part of the visuospatial attentional network, it may be involved in the development of schizophrenia. Deficit syndrome (DS) is characterized by primary and enduring negative symptoms. The present study assessed SLF integrity in DS and nondeficit schizophrenia (NDS) patients and examined possible relationships between it and psychopathology. Twenty-six DS patients, 42 NDS patients, and 36 healthy controls (HC) underwent psychiatric evaluation and diffusion tensor imaging (DTI). After post-processing, fractional anisotropy (FA) values within the SLF were analyzed. Psychopathology was assessed with the Positive and Negative Syndrome Scale, Brief Negative Symptom Scale, and Self-evaluation of Negative Symptoms. The PANSS proxy for the deficit syndrome was used to diagnose DS. NDS patients had lower FA values than HC. DS patients had greater negative symptoms than NDS patients. After differentiating clinical groups and HC, we found no significant correlations between DTI measures and psychopathological dimensions. These results suggest that changes in SLF integrity are related to schizophrenia, and frontoparietal dysconnection plays a role in its etiopathogenesis. We confirmed that DS patients have greater negative psychopathology than NDS patients. These results are preliminary; further studies are needed.
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Affiliation(s)
- Piotr Podwalski
- Department of Psychiatry, Pomeranian Medical University, 71-460 Szczecin, Poland; (K.S.); (K.R.); (K.W.); (J.K.-M.); (A.M.); (J.S.)
- Correspondence:
| | - Ernest Tyburski
- Department of Health Psychology, Pomeranian Medical University, 71-460 Szczecin, Poland; (E.T.); (M.M.)
| | - Krzysztof Szczygieł
- Department of Psychiatry, Pomeranian Medical University, 71-460 Szczecin, Poland; (K.S.); (K.R.); (K.W.); (J.K.-M.); (A.M.); (J.S.)
| | - Krzysztof Rudkowski
- Department of Psychiatry, Pomeranian Medical University, 71-460 Szczecin, Poland; (K.S.); (K.R.); (K.W.); (J.K.-M.); (A.M.); (J.S.)
| | - Katarzyna Waszczuk
- Department of Psychiatry, Pomeranian Medical University, 71-460 Szczecin, Poland; (K.S.); (K.R.); (K.W.); (J.K.-M.); (A.M.); (J.S.)
| | - Wojciech Andrusewicz
- Department of Neurosurgery, Pomeranian Medical University, 71-252 Szczecin, Poland; (W.A.); (L.S.)
| | - Jolanta Kucharska-Mazur
- Department of Psychiatry, Pomeranian Medical University, 71-460 Szczecin, Poland; (K.S.); (K.R.); (K.W.); (J.K.-M.); (A.M.); (J.S.)
| | - Anna Michalczyk
- Department of Psychiatry, Pomeranian Medical University, 71-460 Szczecin, Poland; (K.S.); (K.R.); (K.W.); (J.K.-M.); (A.M.); (J.S.)
| | - Monika Mak
- Department of Health Psychology, Pomeranian Medical University, 71-460 Szczecin, Poland; (E.T.); (M.M.)
| | - Katarzyna Cyranka
- Department of Psychiatry, Jagiellonian University Medical College, 31-501 Krakow, Poland;
- Department of Metabolic Diseases, Jagiellonian University Medical College, 31-501 Krakow, Poland
| | - Błażej Misiak
- Department of Psychiatry, Division of Consultation Psychiatry and Neuroscience, Wroclaw Medical University, 50-367 Wroclaw, Poland;
| | - Leszek Sagan
- Department of Neurosurgery, Pomeranian Medical University, 71-252 Szczecin, Poland; (W.A.); (L.S.)
| | - Jerzy Samochowiec
- Department of Psychiatry, Pomeranian Medical University, 71-460 Szczecin, Poland; (K.S.); (K.R.); (K.W.); (J.K.-M.); (A.M.); (J.S.)
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9
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Chang X, Jia X, Wang Y, Dong D. Alterations of cerebellar white matter integrity and associations with cognitive impairments in schizophrenia. Front Psychiatry 2022; 13:993866. [PMID: 36226106 PMCID: PMC9549145 DOI: 10.3389/fpsyt.2022.993866] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/14/2022] [Accepted: 09/08/2022] [Indexed: 11/17/2022] Open
Abstract
"Cognitive dysmetria" theory of schizophrenia (SZ) has highlighted that the cerebellum plays a critical role in understanding the pathogenesis and cognitive impairment in SZ. Despite some studies have reported the structural disruption of the cerebellum in SZ using whole brain approach, specific focus on the voxel-wise changes of cerebellar WM microstructure and its associations with cognition impairments in SZ were less investigated. To further explore the voxel-wise structural disruption of the cerebellum in SZ, the present study comprehensively examined volume and diffusion features of cerebellar white matter in SZ at the voxel level (42 SZ vs. 52 controls) and correlated the observed alterations with the cognitive impairments measured by MATRICS Consensus Cognitive Battery. Combing voxel-based morphometry (VBM) and diffusion tensor imaging (DTI) methods, we found, compared to healthy controls (HCs), SZ patients did not show significant alteration in voxel-level cerebellar white matter (WM) volume and tract-wise and skeletonized DTI features. In voxel-wise DTI features of cerebellar peduncles, compared to HCs, SZ patients showed decreased fractional anisotropy and increased radial diffusivity mainly located in left middle cerebellar peduncles (MCP) and inferior cerebellar peduncles (ICP). Interestingly, these alterations were correlated with overall composite and different cognitive domain (including processing speed, working memory, and attention vigilance) in HCs but not in SZ patients. The present findings suggested that the voxel-wise WM integrity analysis might be a more sensitive way to investigate the cerebellar structural abnormalities in SZ patients. Correlation results suggested that inferior and MCP may be a crucial neurobiological substrate of cognition impairments in SZ, thus adding the evidence for taking the cerebellum as a novel therapeutic target for cognitive impairments in SZ patients.
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Affiliation(s)
- Xuebin Chang
- Department of Information Sciences, School of Mathematics and Statistics, Xi'an Jiaotong University, Xi'an, China
| | - Xiaoyan Jia
- The Key Laboratory of Biomedical Information Engineering, Ministry of Education, Department of Biomedical Engineering, School of Life Science and Technology, Xi'an Jiaotong University, Xi'an, China
| | - Yulin Wang
- Key Laboratory of Cognition and Personality, Southwest University (SWU), Ministry of Education, Chongqing, China.,Faculty of Psychology, Southwest University (SWU), Chongqing, China
| | - Debo Dong
- Key Laboratory of Cognition and Personality, Southwest University (SWU), Ministry of Education, Chongqing, China.,Faculty of Psychology, Southwest University (SWU), Chongqing, China.,Institute of Neuroscience and Medicine, Brain and Behaviour (INM-7), Research Centre Jülich, Jülich, Germany
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10
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Türk Y, Ercan I, Sahin I, Erdemli Gursel B, Uzunoglu A, Öge C, Beyazyüz E, Albayrak Y. Corpus callosum in schizophrenia with deficit and non-deficit syndrome: a statistical shape analysis. Gen Psychiatr 2021; 34:e100635. [PMID: 34950854 PMCID: PMC8638449 DOI: 10.1136/gpsych-2021-100635] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/06/2021] [Accepted: 10/27/2021] [Indexed: 11/09/2022] Open
Abstract
Background The corpus callosum (CC) is the most targeted region in the cerebrum that integrates cognitive data between homologous areas in the right and left hemispheres. Aims Our study used statistical analysis to determine whether there was a correlation between shape changes in the CC in patients with schizophrenia (SZ) (deficit syndrome (DS) and non-deficit syndrome (NDS)) and healthy control (HC) subjects. Methods This study consisted of 27 HC subjects and 50 schizophrenic patients (20 with DS and 30 with NDS). 3 patients with DS and 4 patients with NDS were excluded. Three-dimensional, sagittal, T1-spoiled, gradient-echo imaging was used. Standard anatomical landmarks were selected and marked on each image using specific software. Results As to comparing the Procrustes mean shapes of the CC, statistically significant differences were observed between HC and SZ (DS+NDS) (p=0.017, James’s Fj=73.732), HC and DS (p<0.001, James’s Fj=140.843), HC and NDS (p=0.006, James’s Fj=89.178) and also DS and NDS (p<0.001, James’s Fj=152.967). Shape variability in the form of CC was 0.131, 0.085, 0.082 and 0.086 in the HC, SZ (DS+NDS), DS and NDS groups, respectively. Conclusions This study reveals callosal shape variations in patients with SZ and their DS and NDS subgroups that take into account the CC’s topographic distribution.
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Affiliation(s)
- Yaşar Türk
- Department of Radiology, Medical Faculty of Bülent Ecevit University, Kozlu, Zonguldak, Turkey
| | - Ilker Ercan
- Department of Biostatistics, Bursa Uludag University Faculty of Medicine, Bursa, Turkey
| | - Ibrahim Sahin
- Department of Biostatistics, Bursa Uludag University Faculty of Medicine, Bursa, Turkey
| | - Basak Erdemli Gursel
- Department of Radiology, Bursa Uludag University Faculty of Medicine, Bursa, Turkey
| | - Arda Uzunoglu
- Department of Biostatistics, Bursa Uludag University Faculty of Medicine, Bursa, Turkey
| | - Cem Öge
- Department of Psychiatry, Çorlu State Hospital, Çorlu, Turkey
| | - Elmas Beyazyüz
- Department of Psychiatry, Medical Faculty of Tekirdag Namık Kemal University, Tekirdag, Turkey
| | - Yakup Albayrak
- Department of Psychiatry, Medical Faculty of Tekirdag Namık Kemal University, Tekirdag, Turkey
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11
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Ushida T, Kidokoro H, Nakamura N, Katsuki S, Imai K, Nakano-Kobayashi T, Moriyama Y, Sato Y, Hayakawa M, Natsume J, Kajiyama H, Kotani T. Impact of maternal hypertensive disorders of pregnancy on brain volumes at term-equivalent age in preterm infants: A voxel-based morphometry study. Pregnancy Hypertens 2021; 25:143-149. [PMID: 34139669 DOI: 10.1016/j.preghy.2021.06.003] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/15/2020] [Revised: 06/02/2021] [Accepted: 06/05/2021] [Indexed: 10/21/2022]
Abstract
OBJECTIVES Infants born to mothers with hypertensive disorders of pregnancy (HDP) reportedly have negative behavioral and neurodevelopmental outcomes. However, the effects of maternal HDP on infant brain growth have not been fully evaluated. We aimed to evaluate brain volumes and brain injury in preterm infants born to mothers with HDP using magnetic resonance (MR) imaging at term-equivalent age. STUDY DESIGN In this cohort study, MR imaging was performed for 94 preterm infants born before 34 weeks of gestation at Nagoya University Hospital between 2010 and 2018. Twenty infants were born to mothers with HDP and 74 to mothers without HDP. MAIN OUTCOME MEASURES Total brain volumes and regional volumetric alterations were assessed by voxel-based morphometry, and brain injury was evaluated using the Kidokoro global brain abnormality score. Developmental quotient was assessed at a corrected age of 1.5 years in 59 infants (HDP, n = 11; non-HDP, n = 48). RESULTS No significant differences were observed in the gray and white matter volumes of the two groups (HDP: 175 ± 24 mL, 137 ± 13 mL, respectively; non-HDP: 172 ± 24 mL, 142 ± 13 mL, respectively). Additionally, no regional volumetric alterations were observed between the two groups after covariate adjustment (gestational age and infant sex). The total Kidokoro score and developmental quotient were similar in both groups. CONCLUSIONS No significant differences in the global and regional brain volumes were observed. Further research is needed to confirm our findings at different time points of MR imaging and in different populations.
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Affiliation(s)
- Takafumi Ushida
- Department of Obstetrics and Gynecology, Nagoya University Graduate School of Medicine, Nagoya, Japan; Division of Perinatology, Center for Maternal-Neonatal Care, Nagoya University Hospital, Nagoya, Japan.
| | - Hiroyuki Kidokoro
- Department of Pediatrics, Nagoya University Graduate School of Medicine, Nagoya, Japan
| | - Noriyuki Nakamura
- Department of Obstetrics and Gynecology, Nagoya University Graduate School of Medicine, Nagoya, Japan
| | - Satoru Katsuki
- Department of Obstetrics and Gynecology, Nagoya University Graduate School of Medicine, Nagoya, Japan
| | - Kenji Imai
- Department of Obstetrics and Gynecology, Nagoya University Graduate School of Medicine, Nagoya, Japan
| | - Tomoko Nakano-Kobayashi
- Department of Obstetrics and Gynecology, Nagoya University Graduate School of Medicine, Nagoya, Japan
| | - Yoshinori Moriyama
- Department of Obstetrics and Gynecology, Fujita Health University School of Medicine, Toyoake, Japan
| | - Yoshiaki Sato
- Division of Neonatology, Center for Maternal-Neonatal Care, Nagoya University Hospital, Nagoya, Japan
| | - Masahiro Hayakawa
- Division of Neonatology, Center for Maternal-Neonatal Care, Nagoya University Hospital, Nagoya, Japan
| | - Jun Natsume
- Department of Pediatrics, Nagoya University Graduate School of Medicine, Nagoya, Japan; Department of Developmental Disability Medicine, Nagoya University Graduate School of Medicine, Nagoya, Japan
| | - Hiroaki Kajiyama
- Department of Obstetrics and Gynecology, Nagoya University Graduate School of Medicine, Nagoya, Japan
| | - Tomomi Kotani
- Department of Obstetrics and Gynecology, Nagoya University Graduate School of Medicine, Nagoya, Japan; Division of Perinatology, Center for Maternal-Neonatal Care, Nagoya University Hospital, Nagoya, Japan
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12
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Podwalski P, Tyburski E, Szczygieł K, Waszczuk K, Rek-Owodziń K, Mak M, Plichta P, Bielecki M, Rudkowski K, Kucharska-Mazur J, Andrusewicz W, Misiak B, Szulc A, Michalczyk A, Michałowska S, Sagan L, Samochowiec J. White Matter Integrity of the Corpus Callosum and Psychopathological Dimensions in Deficit and Non-Deficit Schizophrenia Patients. J Clin Med 2021; 10:jcm10112225. [PMID: 34063845 PMCID: PMC8196621 DOI: 10.3390/jcm10112225] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/17/2021] [Revised: 05/04/2021] [Accepted: 05/19/2021] [Indexed: 12/19/2022] Open
Abstract
Deficit syndrome (DS) is a subtype of schizophrenia characterized by primary persistent negative symptoms. The corpus callosum (CC) appears to be related to psychopathology in schizophrenia. This study assessed white matter integrity in the CC using diffusion tensor imaging (DTI) in deficit and non-deficit schizophrenia (NDS) patients. We also investigated the psychopathological dimensions of schizophrenia and their relationship to CC integrity. Fifteen DS patients, 40 NDS patients, and 30 healthy controls (HC) underwent psychiatric evaluation and neuroimaging. We divided the CC into five regions and assessed their fractional anisotropy (FA) and mean diffusivity (MD). Psychopathology was assessed with the Positive and Negative Syndrome Scale. DS patients had lower FA than NDS patients and HC, and higher MD in Region 5 of the CC than did HC. NDS patients had higher MD in Region 4 of the CC. The patient groups differed in terms of negative symptoms. After differentiating clinical groups and HC, no significant correlations were observed between DTI measures and psychopathological symptoms. Our results suggest that DS and NDS are characterized by minor impairments of the posterior CC. We confirmed that DS patients have greater negative psychopathology than NDS patients. Our results are preliminary, and further studies are needed.
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Affiliation(s)
- Piotr Podwalski
- Department of Psychiatry, Pomeranian Medical University, 71-460 Szczecin, Poland; (K.S.); (K.W.); (K.R.); (J.K.-M.); (A.M.); (J.S.)
- Correspondence:
| | - Ernest Tyburski
- Institute of Psychology, SWPS University of Social Sciences and Humanities, 61-719 Poznan, Poland;
| | - Krzysztof Szczygieł
- Department of Psychiatry, Pomeranian Medical University, 71-460 Szczecin, Poland; (K.S.); (K.W.); (K.R.); (J.K.-M.); (A.M.); (J.S.)
| | - Katarzyna Waszczuk
- Department of Psychiatry, Pomeranian Medical University, 71-460 Szczecin, Poland; (K.S.); (K.W.); (K.R.); (J.K.-M.); (A.M.); (J.S.)
| | - Katarzyna Rek-Owodziń
- Department of Health Psychology, Pomeranian Medical University, 71-460 Szczecin, Poland; (K.R.-O.); (M.M.); (P.P.); (M.B.)
| | - Monika Mak
- Department of Health Psychology, Pomeranian Medical University, 71-460 Szczecin, Poland; (K.R.-O.); (M.M.); (P.P.); (M.B.)
| | - Piotr Plichta
- Department of Health Psychology, Pomeranian Medical University, 71-460 Szczecin, Poland; (K.R.-O.); (M.M.); (P.P.); (M.B.)
| | - Maksymilian Bielecki
- Department of Health Psychology, Pomeranian Medical University, 71-460 Szczecin, Poland; (K.R.-O.); (M.M.); (P.P.); (M.B.)
| | - Krzysztof Rudkowski
- Department of Psychiatry, Pomeranian Medical University, 71-460 Szczecin, Poland; (K.S.); (K.W.); (K.R.); (J.K.-M.); (A.M.); (J.S.)
| | - Jolanta Kucharska-Mazur
- Department of Psychiatry, Pomeranian Medical University, 71-460 Szczecin, Poland; (K.S.); (K.W.); (K.R.); (J.K.-M.); (A.M.); (J.S.)
| | - Wojciech Andrusewicz
- Department of Neurosurgery, Pomeranian Medical University, 71-252 Szczecin, Poland; (W.A.); (L.S.)
| | - Błażej Misiak
- Department of Genetics, Wroclaw Medical University, 50-368 Wroclaw, Poland;
| | - Agata Szulc
- Department of Psychiatry, Faculty of Health Sciences, Medical University in Warsaw, 05-802 Warsaw, Poland;
| | - Anna Michalczyk
- Department of Psychiatry, Pomeranian Medical University, 71-460 Szczecin, Poland; (K.S.); (K.W.); (K.R.); (J.K.-M.); (A.M.); (J.S.)
| | - Sylwia Michałowska
- Department of Clinical Psychology, Institute of Psychology, University of Szczecin, 71-004 Szczecin, Poland;
| | - Leszek Sagan
- Department of Neurosurgery, Pomeranian Medical University, 71-252 Szczecin, Poland; (W.A.); (L.S.)
| | - Jerzy Samochowiec
- Department of Psychiatry, Pomeranian Medical University, 71-460 Szczecin, Poland; (K.S.); (K.W.); (K.R.); (J.K.-M.); (A.M.); (J.S.)
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13
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Zhuo C, Cheng L, Li G, Xu Y, Jing R, Li S, Zhang L, Lin X, Zhou C. COMT-Val158Met polymorphism modulates antipsychotic effects on auditory verbal hallucinations and temporal lobe gray matter volumes in healthy individuals-symptom relief accompanied by worrisome volume reductions. Brain Imaging Behav 2021; 14:1373-1381. [PMID: 30712251 PMCID: PMC7572342 DOI: 10.1007/s11682-019-00043-5] [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] [Indexed: 02/07/2023]
Abstract
Investigation of auditory verbal hallucinations (AVHs) in schizophrenics is complicated by psychiatric symptoms. Investigating healthy individuals with AVHs (H-AVHs) can obviate such confounding factors. The objective of this study was to explore the effects of antipsychotic treatment on AVHs and gray matter volumes (GMVs) in H-AVH subjects and whether such are effects are influenced by COMT-Val158Met genotype. Magnetic resonance imaging (MRI) and genotyping studies were completed for 42 H-AVH subjects and 42 well-matched healthy controls (HCs). COMT-Met/Met homozygotes (158th codon) were identified as COMT-Met genotype; COMT-Met/Val heterozygotes and COMT-Val/Val homozygotes were identified as COMT-Val genotype. Data were compared across groups (H-AVH vs. HC, and between genotypes) with two-sample t-tests. The H-AVH COMT-Met group showed a stronger response to antipsychotic treatment than the H-AVH COMT-Val group (p < 0.001). Both H-AVH genotype groups exhibited temporal lobe GMV reductions after treatment, and relative to their respective genotype-matched HC groups. Antipsychotic treatment effects in H-AVH subjects were influenced by COMT-Val158Met genotype and associated with widespread GMV reductions. These findings provide clues for further exploration of treatment targets for AVHs. Treatment associated GMV reductions, however, raise concerns about use of antipsychotics in H-AVH subjects.
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Affiliation(s)
- Chuanjun Zhuo
- Department of Psychiatric-Neuroimaging-Genetics and Morbidity Laboratory (PNGC-Lab), Tianjin Mental Health Center, Mental Health Teaching Hospital, Nankai University Affiliated Anding Hospital, Tianjin Medical University, Tianjin, 300222, China. .,Department of Psychiatry, Institute of Mental Healthy, Genetic Lab, Jining Medical University, Jining, 272191, China. .,Department of Psychiatry, College of Basic Medical Research, Tianjin Medical University, Tianjin, 300000, China. .,Department of Psychiatry, First Hospital/First Clinical Medical College of Shanxi Medical University, Taiyuan, 030001, China. .,Department of Psychiatry, Wenzhou Seventh People's Hospital, Wenzhou, 325000, China. .,Department of Psychiatry, Shanxi Medical University, Taiyuan, 030000, China.
| | - Langlang Cheng
- Department of Psychiatry, Wenzhou Seventh People's Hospital, Wenzhou, 325000, China
| | - Gongying Li
- Department of Psychiatry, Institute of Mental Healthy, Genetic Lab, Jining Medical University, Jining, 272191, China
| | - Yong Xu
- Department of Psychiatry, First Hospital/First Clinical Medical College of Shanxi Medical University, Taiyuan, 030001, China.,Department of Psychiatry, Shanxi Medical University, Taiyuan, 030000, China
| | - Rixing Jing
- Department of Pattern Recognition, China National Key Laboratory, Institute of Automation, Chinese Academy of Sciences, Beijing, 100191, China.,Department of Pattern Recognition, University of Chinese Academy of Sciences, Beijing, 100191, China
| | - Shen Li
- Department of Psychiatry, College of Basic Medical Research, Tianjin Medical University, Tianjin, 300000, China
| | - Li Zhang
- GHM Institute of CNS Regeneration, Jinan University, Guangzhou, 510632, Guangdong Province, China
| | - Xiaodong Lin
- Department of Psychiatry, Wenzhou Seventh People's Hospital, Wenzhou, 325000, China.
| | - Chunhua Zhou
- Department of Pharmacy, The First Hospital of Hebei Medical University, Shijiazhuang, 050000, China.
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14
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Bryant JE, Lahti AC, Briend F, Kraguljac NV. White Matter Neurometabolic Signatures Support the Deficit and Nondeficit Distinction in Antipsychotic-Naïve First-Episode Psychosis Patients. Schizophr Bull 2021; 47:1068-1076. [PMID: 33693906 PMCID: PMC8266628 DOI: 10.1093/schbul/sbab014] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/12/2022]
Abstract
The deficit syndrome is thought to be a more homogenous clinical subgroup within the syndrome of schizophrenia that is characterized by enduring negative symptoms. It is hypothesized that distinct pathophysiological processes underlie the subtypes, where the deficit syndrome reflects an early onset nonprogressive developmental process, and the nondeficit form of the illness is characterized by attenuated neuroplasticity secondary to elevated glutamate levels. We used single-voxel magnetic resonance spectroscopy (PRESS; TE: 30 ms) to measure left frontal white matter neurometabolite levels in 61 antipsychotic-naïve first-episode psychosis patients (39 who did not display deficit features, 22 who did display deficit features, assessed with the Schedule for the Deficit Syndrome) and 59 healthy controls. Metabolite levels were quantified with the LCModel. We used a MANCOVA to determine neurometabolite differences between healthy controls, deficit syndrome patients, and nondeficit patients. We report a significant group difference when all metabolites were considered jointly (F[10,208] = 2.16; P = .02). Post hoc analyses showed that patients presenting without deficit features had higher glutamate levels than patients with deficit features and controls. Patients presenting without deficit features also had significantly higher myoinositol levels than controls; myoinositol levels were trend-level higher in patients presenting with deficit features compared to controls. Our data support the idea that the pathophysiology of patients presenting without deficit features may differ from those presenting with deficit features.
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Affiliation(s)
- James Edward Bryant
- Department of Psychiatry and Behavioral Neurobiology, University of Alabama at Birmingham, SC 501, Birmingham, AL, USA
| | - Adrienne Carol Lahti
- Department of Psychiatry and Behavioral Neurobiology, University of Alabama at Birmingham, SC 501, Birmingham, AL, USA
| | - Frederic Briend
- Department of Psychiatry and Behavioral Neurobiology, University of Alabama at Birmingham, SC 501, Birmingham, AL, USA,UMR1253, iBrain, Université de Tours, Inserm, Tours, France
| | - Nina Vanessa Kraguljac
- Department of Psychiatry and Behavioral Neurobiology, University of Alabama at Birmingham, SC 501, Birmingham, AL, USA,To whom correspondence should be addressed; tel: 205-996-7171, e-mail:
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15
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Faria AV, Zhao Y, Ye C, Hsu J, Yang K, Cifuentes E, Wang L, Mori S, Miller M, Caffo B, Sawa A. Multimodal MRI assessment for first episode psychosis: A major change in the thalamus and an efficient stratification of a subgroup. Hum Brain Mapp 2020; 42:1034-1053. [PMID: 33377594 PMCID: PMC7856640 DOI: 10.1002/hbm.25276] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/09/2020] [Revised: 09/29/2020] [Accepted: 10/18/2020] [Indexed: 02/06/2023] Open
Abstract
Multi‐institutional brain imaging studies have emerged to resolve conflicting results among individual studies. However, adjusting multiple variables at the technical and cohort levels is challenging. Therefore, it is important to explore approaches that provide meaningful results from relatively small samples at institutional levels. We studied 87 first episode psychosis (FEP) patients and 62 healthy subjects by combining supervised integrated factor analysis (SIFA) with a novel pipeline for automated structure‐based analysis, an efficient and comprehensive method for dimensional data reduction that our group recently established. We integrated multiple MRI features (volume, DTI indices, resting state fMRI—rsfMRI) in the whole brain of each participant in an unbiased manner. The automated structure‐based analysis showed widespread DTI abnormalities in FEP and rs‐fMRI differences between FEP and healthy subjects mostly centered in thalamus. The combination of multiple modalities with SIFA was more efficient than the use of single modalities to stratify a subgroup of FEP (individuals with schizophrenia or schizoaffective disorder) that had more robust deficits from the overall FEP group. The information from multiple MRI modalities and analytical methods highlighted the thalamus as significantly abnormal in FEP. This study serves as a proof‐of‐concept for the potential of this methodology to reveal disease underpins and to stratify populations into more homogeneous sub‐groups.
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Affiliation(s)
- Andreia V Faria
- Department of Radiology, The Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Yi Zhao
- Department of Biostatistics, Indiana University, School of Medicine, Indianapolis, Indiana, USA
| | - Chenfei Ye
- Department of Electronics and Information, Harbin Institute of Technology Shenzhen Graduate School, Guangdong, China
| | - Johnny Hsu
- Department of Radiology, The Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Kun Yang
- Department Psychiatry, The Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Elizabeth Cifuentes
- Department Psychiatry, The Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Lei Wang
- Department of Psychiatry and Behavioral Sciences and Radiology, Northwestern University, Evanston, Illinois, USA
| | - Susumu Mori
- Department of Radiology, The Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Michael Miller
- Department of Biomedical Engineering, The Whiting School of Engineering, Baltimore, Maryland, USA
| | - Brian Caffo
- Department of Biostatistics, The Johns Hopkins University Bloomberg School of Public Health, Baltimore, Maryland, USA
| | - Akira Sawa
- Department Psychiatry, The Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.,Department of Biomedical Engineering, The Whiting School of Engineering, Baltimore, Maryland, USA.,Department of Neuroscience, The Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.,Department of Mental Health, The Johns Hopkins University Bloomberg School of Public Health, Baltimore, Maryland, USA
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16
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Yang M, Gao S, Zhang X. Cognitive deficits and white matter abnormalities in never-treated first-episode schizophrenia. Transl Psychiatry 2020; 10:368. [PMID: 33139736 PMCID: PMC7608674 DOI: 10.1038/s41398-020-01049-0] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/15/2020] [Revised: 09/11/2020] [Accepted: 09/29/2020] [Indexed: 02/06/2023] Open
Abstract
Cognitive impairment is viewed as a core symptom of schizophrenia (SCZ), but its pathophysiological mechanism remains unclear. White matter (WM) disruption is considered to be a central abnormality that may contribute to cognitive impairment in SCZ patients. However, few studies have addressed the association between cognition and WM integrity in never-treated first-episode (NTFE) patients with SCZ. In this study, we used the MATRICS Consensus Cognitive Battery (MCCB) to evaluate cognitive function in NTFE patients (n = 39) and healthy controls (n = 30), and associated it with whole-brain fractional anisotropy (FA) values obtained via voxel-based diffusion tensor imaging. We found that FA was lower in five brain areas of SCZ patients, including the cingulate gyrus, internal capsule, corpus callosum, cerebellum, and brainstem. Compared with the healthy control group, the MCCB's total score and 8 out of 10 subscores were significantly lower in NTFE patients (all p < 0.001). Moreover, in patients but not healthy controls, the performance in the Trail Making Test was negatively correlated with the FA value in the left cingulate. Our findings provide evidence that WM disconnection is involved in some cognitive impairment in the early course of SCZ.
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Affiliation(s)
- Mi Yang
- grid.54549.390000 0004 0369 4060The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Lab for NeuroInformation, University of Electronic Science and Technology of China, Chengdu, China ,grid.54549.390000 0004 0369 4060School of life Science and technology, University of Electronic Science and Technology of China, Chengdu, China ,The Fourth People’s Hospital of Chengdu, Chengdu, China
| | - Shan Gao
- The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Lab for NeuroInformation, University of Electronic Science and Technology of China, Chengdu, China.
| | - Xiangyang Zhang
- CAS Key Laboratory of Mental Health, Institute of Psychology, Chinese Academy of Sciences, Beijing, China. .,Department of Psychology, University of Chinese Academy of Sciences, Beijing, China.
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17
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Mu J, Ma L, Ding D, Ma X, Li P, Li R, Zhang M, Liu J. White matter characteristics between amygdala and prefrontal cortex underlie depressive tendency in end stage renal disease patients before the dialysis initiation. Brain Imaging Behav 2020; 15:1815-1827. [DOI: 10.1007/s11682-020-00376-6] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/23/2022]
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18
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Neuroanatomy of Patients with Deficit Schizophrenia: An Exploratory Quantitative Meta-Analysis of Structural Neuroimaging Studies. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2020; 17:ijerph17176227. [PMID: 32867189 PMCID: PMC7503710 DOI: 10.3390/ijerph17176227] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 07/06/2020] [Revised: 08/17/2020] [Accepted: 08/19/2020] [Indexed: 11/29/2022]
Abstract
Little is known regarding the neuroanatomical correlates of patients with deficit schizophrenia or persistent negative symptoms. In this meta-analysis, we aimed to determine whether patients with deficit schizophrenia have characteristic brain abnormalities. We searched PubMed, CINAHL and Ovid to identify studies that examined the various regions of interest amongst patients with deficit schizophrenia, patients with non-deficit schizophrenia and healthy controls. A total of 24 studies met our inclusion criteria. A random-effects model was used to calculate a combination of outcome measures, and heterogeneity was assessed by the I2 statistic and Cochran’s Q statistic. Our findings suggested that there was statistically significant reduction in grey matter volume (−0.433, 95% confidence interval (CI): −0.853 to −0.014, p = 0.043) and white matter volume (−0.319, 95% CI: −0.619 to −0.018, p = 0.038) in patients with deficit schizophrenia compared to healthy controls. There is also statistically significant reduction in total brain volume (−0.212, 95% CI: −0.384 to −0.041, p = 0.015) and white matter volume (−0.283, 95% CI: −0.546 to −0.021, p = 0.034) in patients with non-deficit schizophrenia compared to healthy controls. Between patients with deficit and non-deficit schizophrenia, there were no statistically significant differences in volumetric findings across the various regions of interest.
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19
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Sagarwala R, Nasrallah HA. White matter pathology is shared across multiple psychiatric brain disorders: Is abnormal diffusivity a transdiagnostic biomarker for psychopathology? Biomark Neuropsychiatry 2020. [DOI: 10.1016/j.bionps.2019.100010] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/15/2022] Open
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20
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Tan AS, Chew QH, Sim K. Cerebral white matter changes in deficit and non-deficit subtypes of schizophrenia. J Neural Transm (Vienna) 2020; 127:1073-1079. [PMID: 32435900 DOI: 10.1007/s00702-020-02207-w] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/26/2019] [Accepted: 05/08/2020] [Indexed: 01/01/2023]
Abstract
The considerable clinical heterogeneity in schizophrenia makes elucidation of its neurobiology challenging. Subtyping the disorder is one way to reduce this heterogeneity and deficit status is one such categorization based on the prominence of negative symptoms. We aimed to utilize diffusion tensor imaging (DTI) to identify unique white matter cerebral changes in deficit schizophrenia (DS) compared with non-deficit schizophrenia (NDS) and healthy controls (HC) in an Asian sample. A total of 289 subjects (111 HC, 133 NDS and 45 DS) underwent DTI and completed rating scales which assessed the severity of psychopathology, psychosocial functioning and premorbid intelligence.We found that DS patients had fractional anisotropy (FA) reductions in the Body of the Corpus Callosum (BCC) and right Posterior Thalamic Radiation (PTR) regions relative to HCs, and FA reductions in the right PTR relative to NDS patients. NDS patients had FA reductions of the BCC and right PTR relative to HCs. Binomial logistic regression analyses revealed that FA reductions of the right PTR FA was an independent predictor of deficit status. The identified brain white matter changes especially in the PTR relate to deficits of cognitive control and emotional awareness, which may underlie psychopathology associated with deficit status like inattention and affective blunting. These potential biomarkers of DS warrant further examination to determine their utility for monitoring illness progression and intervention response in schizophrenia.
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Affiliation(s)
- An Sen Tan
- Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore, Singapore
| | - Qian Hui Chew
- Institute of Mental Health, 10, Buangkok View, Singapore, Republic of Singapore
| | - Kang Sim
- Institute of Mental Health, 10, Buangkok View, Singapore, Republic of Singapore.
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21
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The Amygdala in Schizophrenia and Bipolar Disorder: A Synthesis of Structural MRI, Diffusion Tensor Imaging, and Resting-State Functional Connectivity Findings. Harv Rev Psychiatry 2020; 27:150-164. [PMID: 31082993 DOI: 10.1097/hrp.0000000000000207] [Citation(s) in RCA: 54] [Impact Index Per Article: 13.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/27/2022]
Abstract
Frequently implicated in psychotic spectrum disorders, the amygdala serves as an important hub for elucidating the convergent and divergent neural substrates in schizophrenia and bipolar disorder, the two most studied groups of psychotic spectrum conditions. A systematic search of electronic databases through December 2017 was conducted to identify neuroimaging studies of the amygdala in schizophrenia and bipolar disorder, focusing on structural MRI, diffusion tensor imaging (DTI), and resting-state functional connectivity studies, with an emphasis on cross-diagnostic studies. Ninety-four independent studies were selected for the present review (49 structural MRI, 27 DTI, and 18 resting-state functional MRI studies). Also selected, and analyzed in a separate meta-analysis, were 33 volumetric studies with the amygdala as the region-of-interest. Reduced left, right, and total amygdala volumes were found in schizophrenia, relative to both healthy controls and bipolar subjects, even when restricted to cohorts in the early stages of illness. No volume abnormalities were observed in bipolar subjects relative to healthy controls. Shape morphometry studies showed either amygdala deformity or no differences in schizophrenia, and no abnormalities in bipolar disorder. In contrast to the volumetric findings, DTI studies of the uncinate fasciculus tract (connecting the amygdala with the medial- and orbitofrontal cortices) largely showed reduced fractional anisotropy (a marker of white matter microstructure abnormality) in both schizophrenia and bipolar patients, with no cross-diagnostic differences. While decreased amygdalar-orbitofrontal functional connectivity was generally observed in schizophrenia, varying patterns of amygdalar-orbitofrontal connectivity in bipolar disorder were found. Future studies can consider adopting longitudinal approaches with multimodal imaging and more extensive clinical subtyping to probe amygdalar subregional changes and their relationship to the sequelae of psychotic disorders.
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22
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Identification of changes in grey matter volume using an evolutionary approach: an MRI study of schizophrenia. MULTIMEDIA SYSTEMS 2020. [DOI: 10.1007/s00530-020-00649-6] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
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23
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Xia G, Hu Z, Zhou F, Duan W, Wang M, Gong H, He Y, Guan Y. Functional Connectivity Density with Frequency-Dependent Changes in Patients with Diffuse Axonal Injury: A Resting-State Functional Magnetic Resonance Imaging Study. Neuropsychiatr Dis Treat 2020; 16:2733-2742. [PMID: 33209028 PMCID: PMC7669505 DOI: 10.2147/ndt.s267023] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/16/2020] [Accepted: 10/19/2020] [Indexed: 01/09/2023] Open
Abstract
PURPOSE We explored changes in spontaneous brain connectivity in patients with diffuse axonal injury (DAI), assessed via functional connectivity density (FCD) tests using different frequency bands. PATIENTS AND METHODS In all, 23 patients with DAI (17 males and 6 females) and 23 healthy controls (HCs; 17 males and 6 females) were included. Functional magnetic resonance imaging scans were performed when the participants were in a resting state and the FCD levels in three frequency bands (slow-4: 0.027-0.073 Hz, slow-5: 0.01-0.027 Hz, and typical: 0.01-0.08 Hz) were measured. In addition, Pearson's correlation coefficient was used to explore the relationship between clinical indices and brain regions with abnormal FCD values. RESULTS Compared to HCs, DAI patients had significantly greater FCD values in the right extranuclear/limbic lobe/cingulate gyrus and left limbic lobe/hippocampus/parahippocampal gyrus, and significantly lower FCD values in the left precuneus/posterior cingulate gyrus, in the slow-4 band. In the slow-5 band, the DAI patients had higher FCD values in the left inferior temporal gyrus/superior temporal gyrus, left parahippocampal gyrus/limbic lobe, left extranuclear/cingulate gyrus, and right medial frontal gyrus, and lower values in the right inferior frontal gyrus, right inferior parietal lobule, and left cingulate gyrus/limbic lobe. Moreover, compared to HCs, the values in the typical band were higher in the right extranuclear/limbic lobe/hippocampus/parahippocampal gyrus, but were significantly lower in the right precuneus/posterior cingulate gyrus and right inferior parietal lobule/supramarginal gyrus. The abnormal FCD values of these brain regions were linearly correlated with different clinical scale scores. CONCLUSION DAI patients had abnormal FCD values in various brain regions, indicating disruption to the brain functional network. Moreover, the values were frequency dependent. Our results provide new evidence for the pathogenesis of functional impairment and may explain the neuropathological or compensatory mechanism of the disease.
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Affiliation(s)
- Guojin Xia
- Department of Radiology, The First Affiliated Hospital of Nanchang University, Jiangxi, People's Republic of China.,Jiangxi Province Medical Imaging Research Institute, Jiangxi, People's Republic of China
| | - Zhenzhen Hu
- Department of Thoracic Oncology, Jiangxi Cancer Hospital, Jiangxi, People's Republic of China
| | - Fuqing Zhou
- Department of Radiology, The First Affiliated Hospital of Nanchang University, Jiangxi, People's Republic of China.,Jiangxi Province Medical Imaging Research Institute, Jiangxi, People's Republic of China
| | - Wenfeng Duan
- Department of Radiology, The First Affiliated Hospital of Nanchang University, Jiangxi, People's Republic of China.,Jiangxi Province Medical Imaging Research Institute, Jiangxi, People's Republic of China
| | - Min Wang
- Department of Radiology, The First Affiliated Hospital of Nanchang University, Jiangxi, People's Republic of China.,Jiangxi Province Medical Imaging Research Institute, Jiangxi, People's Republic of China
| | - Honghan Gong
- Department of Radiology, The First Affiliated Hospital of Nanchang University, Jiangxi, People's Republic of China.,Jiangxi Province Medical Imaging Research Institute, Jiangxi, People's Republic of China
| | - Yulin He
- Department of Radiology, The First Affiliated Hospital of Nanchang University, Jiangxi, People's Republic of China.,Jiangxi Province Medical Imaging Research Institute, Jiangxi, People's Republic of China
| | - Yanxing Guan
- Department of Nuclear Medicine, The First Affiliated Hospital of Nanchang University, Jiangxi, People's Republic of China
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24
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Madigand J, Tréhout M, Delcroix N, Dollfus S, Leroux E. Corpus callosum microstructural and macrostructural abnormalities in schizophrenia according to the stage of disease. Psychiatry Res Neuroimaging 2019; 291:63-70. [PMID: 31401547 DOI: 10.1016/j.pscychresns.2019.08.002] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/28/2019] [Revised: 08/05/2019] [Accepted: 08/05/2019] [Indexed: 12/17/2022]
Abstract
Corpus callosum (CC) volume and surface (macrostructural) studies remain controversial and have not considered the illness duration (ID) systematically. Regardless of ID, some CC macrostructural studies have shown no difference between SZ patients and healthy controls (HC), whereas others have reported macrostructural abnormalities in SZ. Conversely, CC microstructural studies are more in agreement with alterations in CC integrity regardless of the patients' ID, but the direction and degree of these abnormalities over time remain unknown. Moreover, no study has explored both the micro- and macrostructure of the CC in SZ by considering the stage of disease. Both CC micro- and macrostructural data were investigated in 43 SZ patients and compared between two patient groups (21 patients with a short ID and 22 with a long ID) and HC (23 participants) using diffusion tensor and structural imaging. CC microstructural alterations were detected in both SZ groups compared to the HC group, without differences between the SZ groups. In contrast, CC macrostructural alterations were only found in the long ID group. CC microstructural alterations might be detected in schizophrenia at an early stage, without an increase of magnitude thereafter, while CC macrostructural alterations might become apparent at later stages of the illness.
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Affiliation(s)
- Jérémy Madigand
- Normandie Univ, UNICAEN, ISTS EA 7466, GIP CYCERON, Caen F-14000, France; CHU de Caen, Service de psychiatrie Adulte, Centre Esquirol, Caen F-14000, France; Normandie Univ, UNICAEN, UFR de Médecine (Medical School), Caen F-14000, France.
| | - Maxime Tréhout
- Normandie Univ, UNICAEN, ISTS EA 7466, GIP CYCERON, Caen F-14000, France; CHU de Caen, Service de psychiatrie Adulte, Centre Esquirol, Caen F-14000, France; Normandie Univ, UNICAEN, UFR de Médecine (Medical School), Caen F-14000, France.
| | - Nicolas Delcroix
- Normandie Univ, UNICAEN, CNRS, UMS GIP CYCERON, Caen F-14000, France.
| | - Sonia Dollfus
- Normandie Univ, UNICAEN, ISTS EA 7466, GIP CYCERON, Caen F-14000, France; CHU de Caen, Service de psychiatrie Adulte, Centre Esquirol, Caen F-14000, France; Normandie Univ, UNICAEN, UFR de Médecine (Medical School), Caen F-14000, France.
| | - Elise Leroux
- Normandie Univ, UNICAEN, ISTS EA 7466, GIP CYCERON, Caen F-14000, France.
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25
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Tomyshev AS, Lebedeva IS, Akhadov TA, Omelchenko MA, Rumyantsev AO, Kaleda VG. Alterations in white matter microstructure and cortical thickness in individuals at ultra-high risk of psychosis: A multimodal tractography and surface-based morphometry study. Psychiatry Res Neuroimaging 2019; 289:26-36. [PMID: 31132567 DOI: 10.1016/j.pscychresns.2019.05.002] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/13/2018] [Revised: 02/24/2019] [Accepted: 05/08/2019] [Indexed: 12/11/2022]
Abstract
There is increasing evidence of white matter (WM) and grey matter pathology in subjects at ultra-high risk of psychosis (UHR), although a limited number of diffusion-weighted magnetic resonance imaging (DW-MRI) and surface-based morphometry (SBM) studies have revealed anatomically inconsistent results. The present multimodal study applies tractography and SBM to analyze WM microstructure, whole-brain cortical anatomy, and potential interconnections between WM and grey matter abnormalities in UHR subjects. Thirty young male UHR patients and 30 healthy controls underwent DW-MRI and T1-weighted MRI. Fractional anisotropy; mean, radial, and axial diffusivity in 18 WM tracts; and vertex-based cortical thickness, area, and volume were analyzed. We found increased radial diffusivity in the left anterior thalamic radiation and reduced bilateral thickness across the frontal, temporal, and parietal cortices. No correlations between WM and grey matter abnormalities were identified. These results provide further evidence that WM microstructure abnormalities and cortical anatomical changes occur in the UHR state. Disruption of structural connectivity in the prefrontal-subcortical circuitry, likely caused by myelin pathology, and cortical thickness reduction affecting the networks presumably involved in processing and coordination of external and internal information streams may underlie the widespread deficits in neurocognitive and social functioning that are consistently reported in UHR subjects.
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Affiliation(s)
- Alexander S Tomyshev
- Laboratory of Neuroimaging and Multimodal Analysis, Mental Health Research Center, 34 Kashirskoe shosse, 115522 Moscow, Russia.
| | - Irina S Lebedeva
- Laboratory of Neuroimaging and Multimodal Analysis, Mental Health Research Center, 34 Kashirskoe shosse, 115522 Moscow, Russia
| | - Tolibdzhon A Akhadov
- Department of Radiology, Children's Clinical and Research Institute of Emergency Surgery and Trauma, Moscow, Russia
| | - Maria A Omelchenko
- Department of Endogenous Mental Disorders, Mental Health Research Center, Moscow, Russia
| | - Andrey O Rumyantsev
- Department of Endogenous Mental Disorders, Mental Health Research Center, Moscow, Russia
| | - Vasiliy G Kaleda
- Department of Endogenous Mental Disorders, Mental Health Research Center, Moscow, Russia
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26
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Lei W, Kirkpatrick B, Wang Q, Deng W, Li M, Guo W, Liang S, Li Y, Zhang C, Li X, Zhang P, Li Z, Xiang B, Chen J, Hu X, Zhang N, Li T. Progressive brain structural changes after the first year of treatment in first-episode treatment-naive patients with deficit or nondeficit schizophrenia. Psychiatry Res Neuroimaging 2019; 288:12-20. [PMID: 31059954 DOI: 10.1016/j.pscychresns.2019.04.009] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/11/2018] [Revised: 04/27/2019] [Accepted: 04/28/2019] [Indexed: 02/05/2023]
Abstract
Progressive brain volume atrophy has been reported in patients with schizophrenia. However, whether this progress differs between patients with primary negative symptoms (deficit schizophrenia; DS) and those without such symptoms (nondeficit schizophrenia; NDS) is unknown. Here, we examined grey matter volume (GMV) and white matter volume (WMV) changes over 12 months in 34 first-episode treatment-naive patients with schizophrenia (14 DS and 20 NDS) and 32 healthy controls (HCs) using structural magnetic resonance imaging and voxel-based morphometry. At baseline, compared to HCs, patients with DS but not NDS had less WMV in bilateral posterior limb of the internal capsule (PLIC) and cerebellar tonsil (P < 0.05, FDR corrected) and smaller GMV in the cerebellar culmen (P < 0.05, FWE corrected). At follow-up, NDS group showed WMV reduction in bilateral PLIC (P < 0.05, FDR corrected), while DS group showed no progressive WMV changes. While both patient groups exhibited GMV reduction in the hippocampus and insular cortex, patients with NDS showed additional GMV loss in the frontal and cingulate cortex and a selective increase in GMV in the left thalamus (P < 0.05 FWE corrected). Our study revealed double dissociations in developmental brain volume changes in the first year after clinical contact for psychosis in DS versus NDS patients.
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Affiliation(s)
- Wei Lei
- Mental Health Center and Psychiatric Laboratory, The State Key Laboratory of Biotherapy, West China Hospital of Sichuan University, Chengdu, China; Huaxi Brain Research Center, West China Hospital of Sichuan University, Chengdu, China; Department of Psychiatry, The Affiliated Hospital of Southwest Medical University, Luzhou, China; Nuclear Medicine and Molecular Imaging Key Laboratory of Sichuan Province, Luzhou, China
| | - Brian Kirkpatrick
- Department of Psychiatry & Behavioral Sciences, University of Nevada, Reno School of Medicine, Reno, NV, USA
| | - Qiang Wang
- Mental Health Center and Psychiatric Laboratory, The State Key Laboratory of Biotherapy, West China Hospital of Sichuan University, Chengdu, China; Huaxi Brain Research Center, West China Hospital of Sichuan University, Chengdu, China
| | - Wei Deng
- Mental Health Center and Psychiatric Laboratory, The State Key Laboratory of Biotherapy, West China Hospital of Sichuan University, Chengdu, China; Huaxi Brain Research Center, West China Hospital of Sichuan University, Chengdu, China
| | - Mingli Li
- Mental Health Center and Psychiatric Laboratory, The State Key Laboratory of Biotherapy, West China Hospital of Sichuan University, Chengdu, China; Huaxi Brain Research Center, West China Hospital of Sichuan University, Chengdu, China
| | - Wanjun Guo
- Mental Health Center and Psychiatric Laboratory, The State Key Laboratory of Biotherapy, West China Hospital of Sichuan University, Chengdu, China; Huaxi Brain Research Center, West China Hospital of Sichuan University, Chengdu, China
| | - Sugai Liang
- Mental Health Center and Psychiatric Laboratory, The State Key Laboratory of Biotherapy, West China Hospital of Sichuan University, Chengdu, China; Huaxi Brain Research Center, West China Hospital of Sichuan University, Chengdu, China
| | - Yinfei Li
- Mental Health Center and Psychiatric Laboratory, The State Key Laboratory of Biotherapy, West China Hospital of Sichuan University, Chengdu, China; Huaxi Brain Research Center, West China Hospital of Sichuan University, Chengdu, China
| | - Chengcheng Zhang
- Mental Health Center and Psychiatric Laboratory, The State Key Laboratory of Biotherapy, West China Hospital of Sichuan University, Chengdu, China; Huaxi Brain Research Center, West China Hospital of Sichuan University, Chengdu, China
| | - Xiaojing Li
- Mental Health Center and Psychiatric Laboratory, The State Key Laboratory of Biotherapy, West China Hospital of Sichuan University, Chengdu, China; Huaxi Brain Research Center, West China Hospital of Sichuan University, Chengdu, China
| | - Pingping Zhang
- Mental Health Center and Psychiatric Laboratory, The State Key Laboratory of Biotherapy, West China Hospital of Sichuan University, Chengdu, China; Huaxi Brain Research Center, West China Hospital of Sichuan University, Chengdu, China
| | - Zhe Li
- Mental Health Center and Psychiatric Laboratory, The State Key Laboratory of Biotherapy, West China Hospital of Sichuan University, Chengdu, China; Huaxi Brain Research Center, West China Hospital of Sichuan University, Chengdu, China
| | - Bo Xiang
- Mental Health Center and Psychiatric Laboratory, The State Key Laboratory of Biotherapy, West China Hospital of Sichuan University, Chengdu, China; Huaxi Brain Research Center, West China Hospital of Sichuan University, Chengdu, China; Department of Psychiatry, The Affiliated Hospital of Southwest Medical University, Luzhou, China
| | - Jing Chen
- Department of Psychiatry, The Affiliated Hospital of Southwest Medical University, Luzhou, China
| | - Xun Hu
- Huaxi Brain Research Center, West China Hospital of Sichuan University, Chengdu, China; Huaxi Biobank, West China Hospital, Sichuan University, Chengdu City, Sichuan Province, China
| | - Nanyin Zhang
- Department of Biomedical Engineering, The Huck Institutes of Life Sciences, The Pennsylvania State University, University Park, PA, USA
| | - Tao Li
- Mental Health Center and Psychiatric Laboratory, The State Key Laboratory of Biotherapy, West China Hospital of Sichuan University, Chengdu, China; Huaxi Brain Research Center, West China Hospital of Sichuan University, Chengdu, China.
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27
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Faria AV, Crawford J, Ye C, Hsu J, Kenkare A, Scheretlen D, Sawa A. Relationship between neuropsychological behavior and brain white matter in first-episode psychosis. Schizophr Res 2019; 208:49-54. [PMID: 30987924 PMCID: PMC6544495 DOI: 10.1016/j.schres.2019.04.010] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/06/2018] [Revised: 03/27/2019] [Accepted: 04/05/2019] [Indexed: 01/14/2023]
Abstract
We addressed the relationship between white matter architecture, represented by MRI fractional anisotropy (FA), and cognition in individuals with first-episode psychosis (FEP) by applying for a new methodology that allows whole brain parcellation of core and peripheral white matter in a biologically meaningful fashion. Regionally specific correlations were found in FEP between three specific domains of cognition (processing speed, attention/working memory, and executive functioning) and FA at the deep (cerebral peduncles, sagittal striatum, uncinate, internal/external capsule, cingulum) and peripheral white matter (adjacent to inferior temporal, angular, supramarginal, insula, occipital, rectus gyrus).
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Affiliation(s)
- Andreia V. Faria
- Department of Radiology, The Johns Hopkins University
School of Medicine, Baltimore, MD, USA;,Correspondence to: Andreia V. Faria, M.D.,PhD.,
Associate Professor, Magnetic Resonance Research Division, Department of
Radiology, The Johns Hopkins University School of Medicine., 217B Traylor Bldg.,
720 Rutland Ave., Baltimore, MD 21205., Phone: (410) 4109554215, Fax: (410)
614-1948,
| | - Jeffrey Crawford
- Department Psychiatry, The Johns Hopkins University School
of Medicine, Baltimore, MD, USA
| | - Chenfei Ye
- Department of Electronics and Information, Harbin Institute
of Technology Shenzhen Graduate School, Guangdong, China, 518055
| | - John Hsu
- Department of Radiology, The Johns Hopkins University
School of Medicine, Baltimore, MD, USA
| | - Anshel Kenkare
- Department Psychiatry, The Johns Hopkins University School
of Medicine, Baltimore, MD, USA
| | - David Scheretlen
- Department Psychiatry, The Johns Hopkins University School
of Medicine, Baltimore, MD, USA
| | - Akira Sawa
- Department Psychiatry, The Johns Hopkins University School
of Medicine, Baltimore, MD, USA;,Department of Biomedical Engineering, The Johns Hopkins
University School of Medicine, Baltimore, MD, USA;,Department of Neuroscience, The Johns Hopkins University
School of Medicine, Baltimore, MD, USA;,Department of Mental Health, The Johns Hopkins University
Bloomberg School of Public Health Baltimore, MD, USA
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28
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Soni S, Muthukrishnan SP, Samanchi R, Sood M, Kaur S, Sharma R. Pre-trial and pre-response EEG microstates in schizophrenia: An endophenotypic marker. Behav Brain Res 2019; 371:111964. [PMID: 31129232 DOI: 10.1016/j.bbr.2019.111964] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/07/2018] [Revised: 04/17/2019] [Accepted: 05/18/2019] [Indexed: 01/15/2023]
Abstract
Cognitive deficits in Schizophrenia interfere with everyday functioning and social functioning. Strong familial associations in schizophrenia might serve to establish cognitive impairments as endophenotypic markers. Therefore, visuo-spatial working memory simulating day-to-day activities at high memory load was assessed in patients with schizophrenia, their first-degree relatives and healthy controls to explore pre-trial and pre-response EEG microstates and their intracranial generators. Twenty-eight patients with schizophrenia, first-degree relatives and matched healthy controls participated in the study. Brain activity during visuo-spatial working memory task was recorded using 128-channel electroencephalography. Pre-trial and pre-response microstate maps of correct and error trials were clustered across groups according to their topography. Microstate map parameters and underlying cortical sources were compared among groups. Pre-trial (correct) microstate Map 1 was significantly different between controls and patients which could qualify it as a state marker with its intracranial generator localized to right inferior frontal gyrus (rIFG). Pre-response (correct) microstate map was significantly different between controls and first-degree relatives which could be considered an endophenotypic marker for schizophrenia. No significant differences were observed for error trials between groups. rIFG which is involved in the execution of multi-component behaviour and selective inhibitory control could distinguish patients with schizophrenia from their first-degree relatives and healthy controls. Further, microstate based biomarkers have the potential to facilitate diagnosis of schizophrenia at a preclinical stage resulting in efficient diagnosis and better prognosis.
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Affiliation(s)
- Sunaina Soni
- Stress and Cognitive Electroimaging Laboratory, Department of Physiology, All India Institute of Medical Sciences, New Delhi, India.
| | - Suriya Prakash Muthukrishnan
- Stress and Cognitive Electroimaging Laboratory, Department of Physiology, All India Institute of Medical Sciences, New Delhi, India.
| | - Rupesh Samanchi
- Stress and Cognitive Electroimaging Laboratory, Department of Physiology, All India Institute of Medical Sciences, New Delhi, India.
| | - Mamta Sood
- Department of Psychiatry, All India Institute of Medical Sciences, New Delhi, India.
| | - Simran Kaur
- Stress and Cognitive Electroimaging Laboratory, Department of Physiology, All India Institute of Medical Sciences, New Delhi, India.
| | - Ratna Sharma
- Stress and Cognitive Electroimaging Laboratory, Department of Physiology, All India Institute of Medical Sciences, New Delhi, India.
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29
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Xiang B, Wang Q, Lei W, Li M, Li Y, Zhao L, Ma X, Wang Y, Yu H, Li X, Meng Y, Guo W, Deng W, Ren H, Li T. Genes in immune pathways associated with abnormal white matter integrity in first-episode and treatment-naïve patients with schizophrenia. Br J Psychiatry 2019; 214:281-287. [PMID: 30722794 DOI: 10.1192/bjp.2018.297] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/27/2023]
Abstract
BACKGROUND Previous studies have inferred a strong genetic component in schizophrenia. However, the genetic variants involved in the susceptibility to schizophrenia remain unclear.AimsTo detect potential gene pathways and networks associated with schizophrenia, and to explore the relationship between common and rare variants in these pathways and abnormal white matter integrity in schizophrenia. METHOD The analysis included 100 first-episode treatment-naïve patients with schizophrenia and 140 healthy controls. A network-based analysis was carried out on the data collected from the Psychiatric Genomics Consortium Phase I (PGC-I). Based on our genome-wide association study and whole-exome sequencing data-sets, we performed a gene-set analysis to detect associations between the combining effects of common and rare genetic variants and abnormal white matter integrity in schizophrenia. RESULTS Patients had significantly reduced functional anisotropy in the left and right anterior cingulate cortex, left and right precuneus and extra-nuclear (t = 4.61-5.10, PFDR < 0.01), compared with controls. Generated from co-expression network analysis of the PGC-1 summary statistics of schizophrenia, a subnetwork of 207 genes associated with schizophrenia was identified (P < 0.01), and 176 genes were co-expressed in four gene modules. Functional enrichment analysis for genes in each module revealed that the yellow module was enriched with highly co-expressed, innate immune response genes. Furthermore, rare variants of enriched genes in the yellow module were associated with reduced functional anisotropy in the left anterior cingulate cortex (P = 0.006; Padjusted = 0.024) in patients only. CONCLUSIONS The pathogenesis of schizophrenia may be substantially influenced by genes involved in the immune system, via both pathway and network.Declaration of interestsNone.
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Affiliation(s)
- Bo Xiang
- Assistant Professor,Mental Health Center and Psychiatric Laboratory,State Key Laboratory of Biotherapy,West China Brain Research Center,West China Hospital of Sichuan University; andDepartment of Psychiatry,Affiliated Hospital of Southwest Medical University,China
| | - Qiang Wang
- Professor,Mental Health Center and Psychiatric Laboratory,State Key Laboratory of Biotherapy,West China Brain Research Center,West China Hospital of Sichuan University,China
| | - Wei Lei
- Assistant Professor,Mental Health Center and Psychiatric Laboratory,State Key Laboratory of Biotherapy,West China Brain Research Center,West China Hospital of Sichuan University; andDepartment of Psychiatry,Affiliated Hospital of Southwest Medical University,China
| | - Mingli Li
- Associate Professor,Mental Health Center and Psychiatric Laboratory,State Key Laboratory of Biotherapy,West China Brain Research Center,West China Hospital of Sichuan University,China
| | - Yinfei Li
- Attending Doctor,Mental Health Center and Psychiatric Laboratory,State Key Laboratory of Biotherapy,West China Brain Research Center,West China Hospital of Sichuan University,China
| | - Liansheng Zhao
- Assistant Professor,Mental Health Center and Psychiatric Laboratory,State Key Laboratory of Biotherapy,West China Brain Research Center,West China Hospital of Sichuan University,China
| | - Xiaohong Ma
- Professor,Mental Health Center and Psychiatric Laboratory,State Key Laboratory of Biotherapy,West China Brain Research Center,West China Hospital of Sichuan University,China
| | - Yingcheng Wang
- Assistant Professor,Mental Health Center and Psychiatric Laboratory,State Key Laboratory of Biotherapy,West China Brain Research Center,West China Hospital of Sichuan University,China
| | - Hua Yu
- Attending Doctor,Mental Health Center and Psychiatric Laboratory,State Key Laboratory of Biotherapy,West China Brain Research Center,West China Hospital of Sichuan University,China
| | - Xiaojing Li
- Attending Doctor,Mental Health Center and Psychiatric Laboratory,State Key Laboratory of Biotherapy,West China Brain Research Center,West China Hospital of Sichuan University,China
| | - Yajing Meng
- Attending Doctor,Mental Health Center and Psychiatric Laboratory,State Key Laboratory of Biotherapy,West China Brain Research Center,West China Hospital of Sichuan University,China
| | - Wanjun Guo
- Associate Professor,Mental Health Center and Psychiatric Laboratory,State Key Laboratory of Biotherapy,West China Brain Research Center,West China Hospital of Sichuan University,China
| | - Wei Deng
- Associate Professor,Mental Health Center and Psychiatric Laboratory,State Key Laboratory of Biotherapy,West China Brain Research Center,West China Hospital of Sichuan University,China
| | - Hongyan Ren
- Attending Doctor,Mental Health Center and Psychiatric Laboratory,State Key Laboratory of Biotherapy,West China Brain Research Center,West China Hospital of Sichuan University,China
| | - Tao Li
- Professor,Mental Health Center and Psychiatric Laboratory,State Key Laboratory of Biotherapy,West China Brain Research Center,West China Hospital of Sichuan University,China
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Zhuo C, Xu Y, Zhang L, Jing R, Zhou C. The Effect of Dopamine Antagonist Treatment on Auditory Verbal Hallucinations in Healthy Individuals Is Clearly Influenced by COMT Genotype and Accompanied by Corresponding Brain Structural and Functional Alterations: An Artificially Controlled Pilot Study. Front Genet 2019; 10:92. [PMID: 30894870 PMCID: PMC6414462 DOI: 10.3389/fgene.2019.00092] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/16/2018] [Accepted: 01/29/2019] [Indexed: 11/29/2022] Open
Abstract
Few studies have been conducted to explore the influence of the catechol-o-methyltransferase (COMT) genotype on the severity of and treatment efficacy on auditory verbal hallucination (AVH) symptoms in healthy individuals with AVHs (Hi-AVHs). We hypothesized that the efficacy of dopamine antagonist treatment on AVHs in Hi-AVHs may be influenced by their COMT genotype and may be accompanied by corresponding brain alterations. To preliminarily investigate and test our hypothesis in an artificially controlled pilot study, we enrolled 42 Hi-AVHs as subjects and used magnetic resonance imaging and genetic methods to explore the basis brain features to investigate whether the efficacy of dopamine antagonist treatment on AVHs in Hi-AVH subjects was influenced by their COMT genotype or not. We found that COMT-met genotype subjects’ treatment response was better than that of COMT-val subjects. Although COMT-met genotype subjects demonstrated an increase in global functional connectivity density (gFCD) but no difference on gray matter volume (GMV) compared to COMT-val genotype subjects at baseline, notably, we found that both groups demonstrated gFCD and GMV reduction after treatment, but the reduction was more widespread in COMT-met genotype subjects than in COMT-val genotype subjects. This is the first study to report that Hi-AVH subjects’ baseline brain functional features are influenced by their COMT genotypes and that the COMT-met genotype subjects exhibit better responses to dopamine antagonists but have more widespread GMV and gFCD reduction than subjects with the COMT-val genotype. Despite several limitations, these findings may provide auxiliary information to further explain the mechanisms of AVHs and provide a clue for scholars to further explore specific treatment targets for AVHs in Hi-AVH subjects or in schizophrenia patients.
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Affiliation(s)
- Chuanjun Zhuo
- Department of Psychiatric-Neuroimaging-Genetics and Comorbidity Laboratory (PNGC-Lab), Tianjin Mental Health Centre, Mental Health Teaching Hospital of Tianjin Medical University, Tianjin Anding Hospital, Tianjin, China.,Department of Psychiatry, College of Basic Medical Science, Tianjin Medical University, Tianjin, China.,Department of Psychiatry, First Hospital/First Clinical Medical College of Shanxi Medical University, Taiyuan, China.,MDT Center for Cognitive Impairment and Sleep Disorders, First Hospital of Shanxi Medical University, Taiyuan, China.,Department of Psychiatry, Institute of Mental Health, Jining Medical University, Jining, China
| | - Yong Xu
- Department of Psychiatry, First Hospital/First Clinical Medical College of Shanxi Medical University, Taiyuan, China.,MDT Center for Cognitive Impairment and Sleep Disorders, First Hospital of Shanxi Medical University, Taiyuan, China
| | - Li Zhang
- GHM Institute of CNS Regeneration, Jinan University, Guangzhou, China
| | - Rixing Jing
- Department of Pattern Recognition, China National Key Laboratory, Institute of Automation, Chinese Academy of Sciences, Beijing, China.,Department of Pattern Recognition, University of Chinese Academy of Sciences, Beijing, China
| | - Chunhua Zhou
- Department of Pharmacy, The First Hospital of Hebei Medical University, Shijiazhuang, China
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31
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Sex difference in association of symptoms and white matter deficits in first-episode and drug-naive schizophrenia. Transl Psychiatry 2018; 8:281. [PMID: 30563964 PMCID: PMC6298972 DOI: 10.1038/s41398-018-0346-9] [Citation(s) in RCA: 24] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/21/2018] [Revised: 10/10/2018] [Accepted: 11/25/2018] [Indexed: 11/10/2022] Open
Abstract
Accumulating evidence shows that disruption of white matter (WM) may be involved in the pathophysiology of schizophrenia, even at the onset of psychosis. However, very few studies have explored sex difference in its association with psychopathology in schizophrenia. This study aims to compare sex differences in clinical features and WM abnormalities in first-episode and drug-naive (FEDN) schizophrenia among Han Chinese inpatients. The WM fractional anisotropy (FA) values of the whole-brain were determined using voxel-based diffusion tensor imaging (DTI) in 39 (16 males and 23 females) FEDN patients with schizophrenia and 30 healthy controls (13 males and 17 females) matched for gender, age, and education. Patient psychopathology was assessed using the Positive and Negative Syndrome Scale (PANSS).Our results showed that compared with the controls, the patients showed widespread areas of lower FA, including corpus callosum, brainstem, internal capsule, cingulate, and cerebellum (all adjusted p < 0.01). Further, male patients showed lower FA values in left cingulate (F = 4.92, p = 0.033), but higher scores on the PANSS total, positive, and general psychopathology subscale scores (all p < 0.01) than female patients. Multivariate regression analysis showed that for male patients, FA values in right corpus callosum were positively associated with the PANSS total (beta = 0.785, t = 3.76, p = 0.002) and the negative symptom scores (beta = 0.494, t = 2.20, p = 0.044), while for female patients, FA values in left cingulate were negatively associated with the PANSS positive symptom score (beta = -0.717, t = -2.25, p = 0.041). Our findings indicate sex difference in white matter disconnectivity and its association with psychopathological symptoms in an early course of schizophrenia onset.
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Tian H, Sun W, Zhang Q, Li X, Sang Y, Li J, Niu Y, Ding H. Procyanidin B2 mitigates behavioral impairment and protects myelin integrity in cuprizone-induced schizophrenia in mice. RSC Adv 2018; 8:23835-23846. [PMID: 35540280 PMCID: PMC9081829 DOI: 10.1039/c8ra03854f] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/05/2018] [Accepted: 06/11/2018] [Indexed: 01/18/2023] Open
Abstract
Numerous studies have suggested that neuropathological changes in schizophrenia may be related to damage to white matter or demyelination. Procyanidin B2, which is a constituent of many fruits such as grapes and strawberries, has various biological activities such as anti-inflammatory and anti-tumor activity, as has been reported. This study aimed to estimate the effects of procyanidin B2 on behavioral impairment and the protection of myelin integrity in a cuprizone-induced schizophrenia model. Mice were exposed to cuprizone (0.2% w/w in chow) for five weeks to induce schizophrenia-like behavioral changes and demyelination. Procyanidin B2 (20 or 100 mg kg−1 day−1) or vehicle was administered orally to mice after withdrawal from cuprizone. Behavioral impairment was detected with an open-field test, a rotarod test and a Morris water maze. Myelin integrity was assessed using LFB staining and MBP expression, including immunofluorescence and western blotting. In addition, enhancements in the expression of HO-1 and NQO1 suggested that procyanidin B2 may regulate oxidative homeostasis via promoting the translation of Nrf2 to the nucleus. Data indicated that procyanidin B2 could mitigate behavioral impairment and protect myelin integrity in the cuprizone-induced model via regulating oxidative stress by activating Nrf2 signaling. Numerous studies have suggested that neuropathological changes in schizophrenia may be related to damage to white matter or demyelination.![]()
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Affiliation(s)
- Hui Tian
- Key Laboratory of Combinatorial Biosynthesis and Drug Discovery, Ministry of Education, Wuhan University School of Pharmaceutical Sciences, Wuhan University Wuhan Hubei P. R. China +8613007162084
| | - Wanchun Sun
- Key Laboratory of Combinatorial Biosynthesis and Drug Discovery, Ministry of Education, Wuhan University School of Pharmaceutical Sciences, Wuhan University Wuhan Hubei P. R. China +8613007162084
| | - Qianying Zhang
- Key Laboratory of Combinatorial Biosynthesis and Drug Discovery, Ministry of Education, Wuhan University School of Pharmaceutical Sciences, Wuhan University Wuhan Hubei P. R. China +8613007162084
| | - Xiaofei Li
- Key Laboratory of Combinatorial Biosynthesis and Drug Discovery, Ministry of Education, Wuhan University School of Pharmaceutical Sciences, Wuhan University Wuhan Hubei P. R. China +8613007162084
| | - Ying Sang
- Key Laboratory of Combinatorial Biosynthesis and Drug Discovery, Ministry of Education, Wuhan University School of Pharmaceutical Sciences, Wuhan University Wuhan Hubei P. R. China +8613007162084
| | - Jian Li
- Key Laboratory of Combinatorial Biosynthesis and Drug Discovery, Ministry of Education, Wuhan University School of Pharmaceutical Sciences, Wuhan University Wuhan Hubei P. R. China +8613007162084
| | - Yunhui Niu
- Key Laboratory of Combinatorial Biosynthesis and Drug Discovery, Ministry of Education, Wuhan University School of Pharmaceutical Sciences, Wuhan University Wuhan Hubei P. R. China +8613007162084
| | - Hong Ding
- Key Laboratory of Combinatorial Biosynthesis and Drug Discovery, Ministry of Education, Wuhan University School of Pharmaceutical Sciences, Wuhan University Wuhan Hubei P. R. China +8613007162084
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Katagiri N, Pantelis C, Nemoto T, Tsujino N, Saito J, Hori M, Yamaguchi T, Funatogawa T, Mizuno M. Symptom recovery and relationship to structure of corpus callosum in individuals with an 'at risk mental state'. Psychiatry Res Neuroimaging 2018; 272:1-6. [PMID: 29232635 DOI: 10.1016/j.pscychresns.2017.11.016] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/01/2017] [Revised: 11/09/2017] [Accepted: 11/22/2017] [Indexed: 01/14/2023]
Abstract
Previous studies have revealed that changes in sub-threshold psychotic symptoms observed in individuals with an 'at risk mental state' (ARMS) are associated with biological changes in the corpus callosum (CC). To elucidate the biological background for resilience against transition to psychosis, we investigated the relationship between CC structural changes and recovery of sub-threshold psychotic symptom in subjects with ARMS who did not develop psychosis (ARMS-N). Sixteen healthy controls and 42 ARMS (37 ARMS-N) subjects participated this study. The volumes of five sub-regions of the CC were analyzed using MRI. The sub-threshold psychotic symptoms of the ARMS were measured using the Scale of Prodromal Symptoms (SOPS). Imaging and symptoms were re-administered in the ARMS group 52 weeks later. Significant baseline volume differences in the mid-posterior CC, central CC and mid-anterior CC were found between the controls and the ARMS-N subjects. These findings suggest that biological abnormalities are present in a so-called "false-positive" group of individuals. For the ARMS-N subjects, improvement in negative symptoms significantly correlated with an increase in the volume of the central CC at follow-up. This finding may suggest that a neurobiological 'resilience' is associated with symptom recovery.
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Affiliation(s)
- Naoyuki Katagiri
- Department of Neuropsychiatry, School of Medicine, Toho University, Tokyo, Japan.
| | - Christos Pantelis
- Melbourne Neuropsychiatry Centre, Department of Psychiatry, The University of Melbourne & Melbourne Health, South Carlton, Victoria, Australia; Centre for Neural Engineering, Department of Electrical and Electronic Engineering, University of Melbourne, Carlton South, Victoria, Australia
| | - Takahiro Nemoto
- Department of Neuropsychiatry, School of Medicine, Toho University, Tokyo, Japan
| | - Naohisa Tsujino
- Department of Neuropsychiatry, School of Medicine, Toho University, Tokyo, Japan
| | - Junichi Saito
- Department of Neuropsychiatry, School of Medicine, Toho University, Tokyo, Japan
| | - Masaaki Hori
- Department of Radiology, Juntendo University School of Medicine, Tokyo, Japan
| | - Taiju Yamaguchi
- Department of Neuropsychiatry, School of Medicine, Toho University, Tokyo, Japan
| | - Tomoyuki Funatogawa
- Department of Neuropsychiatry, School of Medicine, Toho University, Tokyo, Japan
| | - Masafumi Mizuno
- Department of Neuropsychiatry, School of Medicine, Toho University, Tokyo, Japan
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Mørch-Johnsen L, Agartz I, Jensen J. The Neural Correlates of Negative Symptoms in Schizophrenia: Examples From MRI Literature. Clin EEG Neurosci 2018; 49:12-17. [PMID: 29243527 DOI: 10.1177/1550059417746214] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
Negative symptoms of schizophrenia have a negative impact on psychosocial functioning and disease outcome. It is therefore important to investigate the pathophysiology underlying negative symptoms as this may aid the development of better treatment. In the current article, examples from studies investigating neural correlates of negative symptoms in schizophrenia are given. Investigations using both structural and functional magnetic resonance imaging are presented at different levels of symptomatology descriptions, from the more heterogenous construct of negative symptoms to more single discrete symptoms. Some methods to improve imaging studies of negative symptoms in schizophrenia are also suggested.
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Affiliation(s)
- Lynn Mørch-Johnsen
- 1 Department of Psychiatric Research, Diakonhjemmet Hospital, Oslo, Norway.,2 NORMENT and K.G. Jebsen Centre for Psychosis Research, Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Ingrid Agartz
- 1 Department of Psychiatric Research, Diakonhjemmet Hospital, Oslo, Norway.,2 NORMENT and K.G. Jebsen Centre for Psychosis Research, Institute of Clinical Medicine, University of Oslo, Oslo, Norway.,3 Centre for Psychiatric Research, Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden
| | - Jimmy Jensen
- 4 Centre for Psychology, Kristianstad University, Kristianstad, Sweden
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Vitolo E, Tatu MK, Pignolo C, Cauda F, Costa T, Ando' A, Zennaro A. White matter and schizophrenia: A meta-analysis of voxel-based morphometry and diffusion tensor imaging studies. Psychiatry Res Neuroimaging 2017; 270:8-21. [PMID: 28988022 DOI: 10.1016/j.pscychresns.2017.09.014] [Citation(s) in RCA: 56] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/11/2017] [Revised: 09/20/2017] [Accepted: 09/20/2017] [Indexed: 12/15/2022]
Abstract
Voxel-based morphometry (VBM) and diffusion tensor imaging (DTI) are the most implemented methodologies to detect alterations of both gray and white matter (WM). However, the role of WM in mental disorders is still not well defined. We aimed at clarifying the role of WM disruption in schizophrenia and at identifying the most frequently involved brain networks. A systematic literature search was conducted to identify VBM and DTI studies focusing on WM alterations in patients with schizophrenia compared to control subjects. We selected studies reporting the coordinates of WM reductions and we performed the anatomical likelihood estimation (ALE). Moreover, we labeled the WM bundles with an anatomical atlas and compared VBM and DTI ALE-scores of each significant WM tract. A total of 59 studies were eligible for the meta-analysis. WM alterations were reported in 31 and 34 foci with VBM and DTI methods, respectively. The most occurred WM bundles in both VBM and DTI studies and largely involved in schizophrenia were long projection fibers, callosal and commissural fibers, part of motor descending fibers, and fronto-temporal-limbic pathways. The meta-analysis showed a widespread WM disruption in schizophrenia involving specific cerebral circuits instead of well-defined regions.
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Affiliation(s)
- Enrico Vitolo
- Department of Psychology, University of Turin, Via Po 14, 10123 Turin, TO, Italy.
| | - Mona Karina Tatu
- Department of Psychology, University of Turin, Via Po 14, 10123 Turin, TO, Italy.
| | - Claudia Pignolo
- Department of Psychology, University of Turin, Via Po 14, 10123 Turin, TO, Italy.
| | - Franco Cauda
- Department of Psychology, University of Turin, Via Po 14, 10123 Turin, TO, Italy; GCS-fMRI, Koelliker Hospital, Corso Galileo Ferraris 247/255, 10134 Turin, TO, Italy.
| | - Tommaso Costa
- Department of Psychology, University of Turin, Via Po 14, 10123 Turin, TO, Italy.
| | - Agata Ando'
- Department of Psychology, University of Turin, Via Po 14, 10123 Turin, TO, Italy.
| | - Alessandro Zennaro
- Department of Psychology, University of Turin, Via Po 14, 10123 Turin, TO, Italy.
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Serpa MH, Doshi J, Erus G, Chaim-Avancini TM, Cavallet M, van de Bilt MT, Sallet PC, Gattaz WF, Davatzikos C, Busatto GF, Zanetti MV. State-dependent microstructural white matter changes in drug-naïve patients with first-episode psychosis. Psychol Med 2017; 47:2613-2627. [PMID: 28826419 DOI: 10.1017/s0033291717001015] [Citation(s) in RCA: 27] [Impact Index Per Article: 3.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/21/2022]
Abstract
BACKGROUND Diffusion tensor imaging (DTI) studies have consistently shown white matter (WM) microstructural abnormalities in schizophrenia. Whether or not such alterations could vary depending on clinical status (i.e. acute psychosis v. remission) remains to be investigated. METHODS Twenty-five treatment-naïve first-episode psychosis (FEP) patients and 51 healthy-controls (HC) underwent MRI scanning at baseline. Twenty-one patients were re-scanned as soon as they achieved sustained remission of symptoms; 36 HC were also scanned twice. Rate-of-change maps of longitudinal DTI changes were calculated for in order to examine WM alterations associated with changes in clinical status. We conducted voxelwise analyses of fractional anisotropy (FA) and trace (TR) maps. RESULTS At baseline, FEP presented reductions of FA in comparison with HC [p < 0.05, false-discovery rate (FDR)-corrected] affecting fronto-limbic WM and associative, projective and commissural fasciculi. After symptom remission, patients showed FA increase over time (p < 0.001, uncorrected) in some of the above WM tracts, namely the right anterior thalamic radiation, right uncinate fasciculus/inferior fronto-occipital fasciculus, and left inferior fronto-occipital fasciculus/inferior longitudinal fasciculus. We also found significant correlations between reductions in PANSS scores and FA increases over time (p < 0.05, FDR-corrected). CONCLUSIONS WM changes affecting brain tracts critical to the integration of perceptual information, cognition and emotions are detectable soon after the onset of FEP and may partially reverse in direct relation to the remission of acute psychotic symptoms. Our findings reinforce the view that WM abnormalities in brain tracts are a key neurobiological feature of acute psychotic disorders, and recovery from such WM pathology can lead to amelioration of symptoms.
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Affiliation(s)
- M H Serpa
- Laboratory of Psychiatric Neuroimaging (LIM-21),Department and Institute of Psychiatry,Faculty of Medicine,University of São Paulo, Centro de Medicina Nuclear,3o andar, LIM-21,Rua Dr. Ovídio Pires de Campos,s/n, São Paulo, SP,Brazil
| | - J Doshi
- Section of Biomedical Image Analysis (SBIA), Department of Radiology,University of Pennsylvania,3600 Market St,Suite 380, Philadelphia, PA,USA
| | - G Erus
- Section of Biomedical Image Analysis (SBIA), Department of Radiology,University of Pennsylvania,3600 Market St,Suite 380, Philadelphia, PA,USA
| | - T M Chaim-Avancini
- Laboratory of Psychiatric Neuroimaging (LIM-21),Department and Institute of Psychiatry,Faculty of Medicine,University of São Paulo, Centro de Medicina Nuclear,3o andar, LIM-21,Rua Dr. Ovídio Pires de Campos,s/n, São Paulo, SP,Brazil
| | - M Cavallet
- Laboratory of Psychiatric Neuroimaging (LIM-21),Department and Institute of Psychiatry,Faculty of Medicine,University of São Paulo, Centro de Medicina Nuclear,3o andar, LIM-21,Rua Dr. Ovídio Pires de Campos,s/n, São Paulo, SP,Brazil
| | - M T van de Bilt
- Center for Interdisciplinary Research on Applied Neurosciences (NAPNA), University of São Paulo, Centro de Medicina Nuclear,3o andar, LIM-21,Rua Dr. Ovídio Pires de Campos,s/n, São Paulo, SP,Brazil
| | - P C Sallet
- Laboratory of Neuroscience, LIM-27,Department and Institute of Psychiatry,Faculty of Medicine,University of São Paulo, Instituto de Psiquiatria,3o andar, LIM-27,Rua Dr. Ovídio Pires de Campos,s/n, São Paulo, SP,Brazil
| | - W F Gattaz
- Laboratory of Neuroscience, LIM-27,Department and Institute of Psychiatry,Faculty of Medicine,University of São Paulo, Instituto de Psiquiatria,3o andar, LIM-27,Rua Dr. Ovídio Pires de Campos,s/n, São Paulo, SP,Brazil
| | - C Davatzikos
- Section of Biomedical Image Analysis (SBIA), Department of Radiology,University of Pennsylvania,3600 Market St,Suite 380, Philadelphia, PA,USA
| | - G F Busatto
- Laboratory of Psychiatric Neuroimaging (LIM-21),Department and Institute of Psychiatry,Faculty of Medicine,University of São Paulo, Centro de Medicina Nuclear,3o andar, LIM-21,Rua Dr. Ovídio Pires de Campos,s/n, São Paulo, SP,Brazil
| | - M V Zanetti
- Laboratory of Psychiatric Neuroimaging (LIM-21),Department and Institute of Psychiatry,Faculty of Medicine,University of São Paulo, Centro de Medicina Nuclear,3o andar, LIM-21,Rua Dr. Ovídio Pires de Campos,s/n, São Paulo, SP,Brazil
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Jalbrzikowski M, Larsen B, Hallquist MN, Foran W, Calabro F, Luna B. Development of White Matter Microstructure and Intrinsic Functional Connectivity Between the Amygdala and Ventromedial Prefrontal Cortex: Associations With Anxiety and Depression. Biol Psychiatry 2017; 82:511-521. [PMID: 28274468 PMCID: PMC5522367 DOI: 10.1016/j.biopsych.2017.01.008] [Citation(s) in RCA: 132] [Impact Index Per Article: 18.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/16/2016] [Revised: 12/28/2016] [Accepted: 01/01/2017] [Indexed: 12/11/2022]
Abstract
BACKGROUND Connectivity between the amygdala and ventromedial prefrontal cortex (vmPFC) is compromised in multiple psychiatric disorders, many of which emerge during adolescence. To identify to what extent the deviations in amygdala-vmPFC maturation contribute to the onset of psychiatric disorders, it is essential to characterize amygdala-vmPFC connectivity changes during typical development. METHODS Using an accelerated cohort longitudinal design (1-3 time points, 10-25 years old, n = 246), we characterized developmental changes of the amygdala-vmPFC subregion functional and structural connectivity using resting-state functional magnetic resonance imaging and diffusion-weighted imaging. RESULTS Functional connectivity between the centromedial amygdala and rostral anterior cingulate cortex (rACC), anterior vmPFC, and subgenual cingulate significantly decreased from late childhood to early adulthood in male and female subjects. Age-associated decreases were also observed between the basolateral amygdala and the rACC. Importantly, these findings were replicated in a separate cohort (10-22 years old, n = 327). Similarly, structural connectivity, as measured by quantitative anisotropy, significantly decreased with age in the same regions. Functional connectivity between the centromedial amygdala and the rACC was associated with structural connectivity in these same regions during early adulthood (22-25 years old). Finally, a novel time-varying coefficient analysis showed that increased centromedial amygdala-rACC functional connectivity was associated with greater anxiety and depression symptoms during early adulthood, while increased structural connectivity in centromedial amygdala-anterior vmPFC white matter was associated with greater anxiety/depression during late childhood. CONCLUSIONS Specific developmental periods of functional and structural connectivity between the amygdala and the prefrontal systems may contribute to the emergence of anxiety and depressive symptoms and may play a critical role in the emergence of psychiatric disorders in adolescence.
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Affiliation(s)
| | - Bart Larsen
- University of Pittsburgh, Department of Psychology
| | | | | | | | - Beatriz Luna
- University of Pittsburgh, Department of Psychiatry,University of Pittsburgh, Department of Psychology,University of Pittsburgh, Department of Pediatrics
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Abstract
We previously proposed that people with schizophrenia who have primary, enduring negative symptoms have a disease-deficit schizophrenia (DS)-that is separate from that affecting people with schizophrenia without these features. Additional evidence consistent with the separate disease hypothesis has accumulated in recent years. White matter changes may be widespread in deficit compared to nondeficit patients and may relate to problems in early brain migration. These 2 patient groups also appear to differ on metabolic measures prior to antipsychotic treatment. Studies of reward and defeatist beliefs provide the basis for future treatment trials. The 2 factors or groups within negative symptoms broadly defined (both primary and secondary) have also been found in DS, and recent evidence suggests these 2 symptom groups have different correlates and reflect the existence of 2 groups with in DS. Negative symptoms are found in disorders other than schizophrenia, and excess summer birth, a deficit risk factor, has been found in a non-patient group with deficit-like features. It may be useful in future research to determine whether findings in DS extend to patients with other neuropsychiatric disorders who also have negative symptoms.
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Affiliation(s)
- Brian Kirkpatrick
- Department of Psychiatry and Behavioral Sciences, University of Nevada Reno School of Medicine, Reno, NV
| | - Armida Mucci
- Department of Psychiatry, University of Naples SUN, Naples, Italy
| | - Silvana Galderisi
- Department of Psychiatry, University of Campania Luigi Vanvitelli (SUN); University Hospital SUN, Naples, Italy
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Li P, Jing RX, Zhao RJ, Ding ZB, Shi L, Sun HQ, Lin X, Fan TT, Dong WT, Fan Y, Lu L. Electroconvulsive therapy-induced brain functional connectivity predicts therapeutic efficacy in patients with schizophrenia: a multivariate pattern recognition study. NPJ SCHIZOPHRENIA 2017; 3:21. [PMID: 28560267 PMCID: PMC5441568 DOI: 10.1038/s41537-017-0023-7] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 01/05/2017] [Revised: 04/01/2017] [Accepted: 04/21/2017] [Indexed: 01/08/2023]
Abstract
Previous studies suggested that electroconvulsive therapy can influence regional metabolism and dopamine signaling, thereby alleviating symptoms of schizophrenia. It remains unclear what patients may benefit more from the treatment. The present study sought to identify biomarkers that predict the electroconvulsive therapy response in individual patients. Thirty-four schizophrenia patients and 34 controls were included in this study. Patients were scanned prior to treatment and after 6 weeks of treatment with antipsychotics only (n = 16) or a combination of antipsychotics and electroconvulsive therapy (n = 13). Subject-specific intrinsic connectivity networks were computed for each subject using a group information-guided independent component analysis technique. Classifiers were built to distinguish patients from controls and quantify brain states based on intrinsic connectivity networks. A general linear model was built on the classification scores of first scan (referred to as baseline classification scores) to predict treatment response. Classifiers built on the default mode network, the temporal lobe network, the language network, the corticostriatal network, the frontal-parietal network, and the cerebellum achieved a cross-validated classification accuracy of 83.82%, with specificity of 91.18% and sensitivity of 76.47%. After the electroconvulsive therapy, psychosis symptoms of the patients were relieved and classification scores of the patients were decreased. Moreover, the baseline classification scores were predictive for the treatment outcome. Schizophrenia patients exhibited functional deviations in multiple intrinsic connectivity networks which were able to distinguish patients from healthy controls at an individual level. Patients with lower classification scores prior to treatment had better treatment outcome, indicating that the baseline classification scores before treatment is a good predictor for treatment outcome.
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Affiliation(s)
- Peng Li
- Institute of Mental Health, National Clinical Research Center for Mental Disorders, Key Laboratory of Mental Health and Peking University Sixth Hospital, Peking University, Beijing, 100191 China
| | - Ri-xing Jing
- National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, 100190 China
- University of Chinese Academy of Sciences, Beijing, 100049 China
| | - Rong-jiang Zhao
- Department of Alcohol and Drug Dependence, Beijing Hui-Long-Guan Hospital, Peking University, Beijing, 100096 China
| | - Zeng-bo Ding
- National Institute on Drug Dependence and Beijing Key laboratory of Drug Dependence, Peking University, Beijing, 100191 China
| | - Le Shi
- Institute of Mental Health, National Clinical Research Center for Mental Disorders, Key Laboratory of Mental Health and Peking University Sixth Hospital, Peking University, Beijing, 100191 China
- National Institute on Drug Dependence and Beijing Key laboratory of Drug Dependence, Peking University, Beijing, 100191 China
| | - Hong-qiang Sun
- Institute of Mental Health, National Clinical Research Center for Mental Disorders, Key Laboratory of Mental Health and Peking University Sixth Hospital, Peking University, Beijing, 100191 China
| | - Xiao Lin
- Peking-Tsinghua Center for Life Sciences and PKU-IDG/McGovern Institute for Brain Research, Peking University, Beijing, 100871 China
| | - Teng-teng Fan
- Institute of Mental Health, National Clinical Research Center for Mental Disorders, Key Laboratory of Mental Health and Peking University Sixth Hospital, Peking University, Beijing, 100191 China
| | - Wen-tian Dong
- Institute of Mental Health, National Clinical Research Center for Mental Disorders, Key Laboratory of Mental Health and Peking University Sixth Hospital, Peking University, Beijing, 100191 China
| | - Yong Fan
- Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104 USA
| | - Lin Lu
- Institute of Mental Health, National Clinical Research Center for Mental Disorders, Key Laboratory of Mental Health and Peking University Sixth Hospital, Peking University, Beijing, 100191 China
- National Institute on Drug Dependence and Beijing Key laboratory of Drug Dependence, Peking University, Beijing, 100191 China
- Peking-Tsinghua Center for Life Sciences and PKU-IDG/McGovern Institute for Brain Research, Peking University, Beijing, 100871 China
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Lu X, Yang Y, Wu F, Gao M, Xu Y, Zhang Y, Yao Y, Du X, Li C, Wu L, Zhong X, Zhou Y, Fan N, Zheng Y, Xiong D, Peng H, Escudero J, Huang B, Li X, Ning Y, Wu K. Discriminative analysis of schizophrenia using support vector machine and recursive feature elimination on structural MRI images. Medicine (Baltimore) 2016; 95:e3973. [PMID: 27472673 PMCID: PMC5265810 DOI: 10.1097/md.0000000000003973] [Citation(s) in RCA: 52] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/20/2016] [Revised: 05/16/2016] [Accepted: 05/26/2016] [Indexed: 12/11/2022] Open
Abstract
Structural abnormalities in schizophrenia (SZ) patients have been well documented with structural magnetic resonance imaging (MRI) data using voxel-based morphometry (VBM) and region of interest (ROI) analyses. However, these analyses can only detect group-wise differences and thus, have a poor predictive value for individuals. In the present study, we applied a machine learning method that combined support vector machine (SVM) with recursive feature elimination (RFE) to discriminate SZ patients from normal controls (NCs) using their structural MRI data. We first employed both VBM and ROI analyses to compare gray matter volume (GMV) and white matter volume (WMV) between 41 SZ patients and 42 age- and sex-matched NCs. The method of SVM combined with RFE was used to discriminate SZ patients from NCs using significant between-group differences in both GMV and WMV as input features. We found that SZ patients showed GM and WM abnormalities in several brain structures primarily involved in the emotion, memory, and visual systems. An SVM with a RFE classifier using the significant structural abnormalities identified by the VBM analysis as input features achieved the best performance (an accuracy of 88.4%, a sensitivity of 91.9%, and a specificity of 84.4%) in the discriminative analyses of SZ patients. These results suggested that distinct neuroanatomical profiles associated with SZ patients might provide a potential biomarker for disease diagnosis, and machine-learning methods can reveal neurobiological mechanisms in psychiatric diseases.
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Affiliation(s)
- Xiaobing Lu
- Department of Psychiatry, Guangzhou Brain Hospital (GBH)/(Guangzhou Huiai Hospital, The Affiliated Brain Hospital of Guangzhou Medical University), Guangzhou, China
- GBH-SCUT Joint Research Centre for Neuroimaging, Guangzhou, China
| | - Yongzhe Yang
- Department of Biomedical Engineering, School of Materials Science and Engineering, South China University of Technology (SCUT), Guangzhou, China
- School of Medicine, South China University of Technology (SCUT), Guangzhou, China
- Department of Radiology, Guangdong Academy of Medical Sciences, Guangdong General Hospital, Guangzhou, China
| | - Fengchun Wu
- Department of Psychiatry, Guangzhou Brain Hospital (GBH)/(Guangzhou Huiai Hospital, The Affiliated Brain Hospital of Guangzhou Medical University), Guangzhou, China
- GBH-SCUT Joint Research Centre for Neuroimaging, Guangzhou, China
| | - Minjian Gao
- School of Computer Science and Engineering, South China University of Technology (SCUT), Guangzhou, China
| | - Yong Xu
- School of Computer Science and Engineering, South China University of Technology (SCUT), Guangzhou, China
| | - Yue Zhang
- Department of Biomedical Engineering, School of Materials Science and Engineering, South China University of Technology (SCUT), Guangzhou, China
| | - Yongcheng Yao
- Department of Biomedical Engineering, School of Materials Science and Engineering, South China University of Technology (SCUT), Guangzhou, China
| | - Xin Du
- Department of Biomedical Engineering, School of Materials Science and Engineering, South China University of Technology (SCUT), Guangzhou, China
| | - Chengwei Li
- Department of Biomedical Engineering, School of Materials Science and Engineering, South China University of Technology (SCUT), Guangzhou, China
| | - Lei Wu
- Department of Biomedical Engineering, School of Materials Science and Engineering, South China University of Technology (SCUT), Guangzhou, China
- School of Medicine, South China University of Technology (SCUT), Guangzhou, China
- Department of Radiology, Guangdong Academy of Medical Sciences, Guangdong General Hospital, Guangzhou, China
| | - Xiaomei Zhong
- Department of Psychiatry, Guangzhou Brain Hospital (GBH)/(Guangzhou Huiai Hospital, The Affiliated Brain Hospital of Guangzhou Medical University), Guangzhou, China
- GBH-SCUT Joint Research Centre for Neuroimaging, Guangzhou, China
| | - Yanling Zhou
- Department of Psychiatry, Guangzhou Brain Hospital (GBH)/(Guangzhou Huiai Hospital, The Affiliated Brain Hospital of Guangzhou Medical University), Guangzhou, China
| | - Ni Fan
- Department of Psychiatry, Guangzhou Brain Hospital (GBH)/(Guangzhou Huiai Hospital, The Affiliated Brain Hospital of Guangzhou Medical University), Guangzhou, China
| | - Yingjun Zheng
- Department of Psychiatry, Guangzhou Brain Hospital (GBH)/(Guangzhou Huiai Hospital, The Affiliated Brain Hospital of Guangzhou Medical University), Guangzhou, China
| | - Dongsheng Xiong
- Department of Biomedical Engineering, School of Materials Science and Engineering, South China University of Technology (SCUT), Guangzhou, China
| | - Hongjun Peng
- Department of Clinical Psychology, Guangzhou Brain Hospital (GBH)/ (Guangzhou Huiai Hospital, The Affiliated Brain Hospital of Guangzhou Medical University), Guangzhou, China
| | - Javier Escudero
- Institute for Digital Communications, School of Engineering, The University of Edinburgh, Edinburgh EH9 3JL, UK
| | - Biao Huang
- School of Medicine, South China University of Technology (SCUT), Guangzhou, China
- Department of Radiology, Guangdong Academy of Medical Sciences, Guangdong General Hospital, Guangzhou, China
| | - Xiaobo Li
- Department of Biomedical Engineering, New Jersey Institute of Technology, NJ, US
- Department of Electric and Computer Engineering, New Jersey Institute of Technology, NJ, US
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, NY, US
| | - Yuping Ning
- Department of Psychiatry, Guangzhou Brain Hospital (GBH)/(Guangzhou Huiai Hospital, The Affiliated Brain Hospital of Guangzhou Medical University), Guangzhou, China
- GBH-SCUT Joint Research Centre for Neuroimaging, Guangzhou, China
| | - Kai Wu
- Department of Psychiatry, Guangzhou Brain Hospital (GBH)/(Guangzhou Huiai Hospital, The Affiliated Brain Hospital of Guangzhou Medical University), Guangzhou, China
- Department of Biomedical Engineering, School of Materials Science and Engineering, South China University of Technology (SCUT), Guangzhou, China
- GBH-SCUT Joint Research Centre for Neuroimaging, Guangzhou, China
- Department of Nuclear Medicine and Radiology, Institute of Development, Aging and Cancer, Tohoku University, Sendai, Japan
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Gu C, Zhang Y, Wei F, Cheng Y, Cao Y, Hou H. Magnetic resonance imaging DTI-FT study on schizophrenic patients with typical negative first symptoms. Exp Ther Med 2016; 12:1450-1454. [PMID: 27588066 PMCID: PMC4998077 DOI: 10.3892/etm.2016.3469] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/23/2016] [Accepted: 06/17/2016] [Indexed: 01/03/2023] Open
Abstract
Magnetic resonance imaging (MRI) with diffusion-tensor imaging (DTI) together with a white matter fiber tracking (FT) technique was used to assess different brain white matter structures and functionalities in schizophrenic patients with typical first negative symptoms. In total, 30 schizophrenic patients with typical first negative symptoms, comprising an observation group were paired 1:1 according to gender, age, right-handedness, and education, with 30 healthy individuals in a control group. Individuals in each group underwent routine MRI and DTI examination of the brain, and diffusion-tensor tractography (DTT) data were obtained through whole brain analysis based on voxel and tractography. The results were expressed by fractional anisotropy (FA) values. The schizophrenic patients were evaluated using a positive and negative symptom scale (PANSS) as well as a Global Assessment Scale (GAS). The results of the study showed that routine MRIs identified no differences between the two groups. However, compared with the control group, the FA values obtained by DTT from the deep left prefrontal cortex, the right deep temporal lobe, the white matter of the inferior frontal gyrus and part of the corpus callosum were significantly lower in the observation group (P<0.05). The PANSS positive scale value in the observation group averaged 7.7±1.5, and the negative scale averaged 46.6±5.9, while the general psychopathology scale averaged 65.4±10.3, and GAS averaged 53.8±19.2. The Pearson statistical analysis, the left deep prefrontal cortex, the right deep temporal lobe, the white matter of the inferior frontal gyrus and the FA value of part of the corpus callosum in the observation group was negatively correlated with the negative scale (P<0.05), and positively correlated with GAS (P<0.05). In conclusion, a decrease in the FA values of the left deep prefrontal cortex, the right deep temporal lobe, the white matter of the inferior frontal gyrus and part of the corpus callosum may be associated with schizophrenia with typical first negative symptoms and the application of MRI DTI-FT can improve diagnostic accuracy.
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Affiliation(s)
- Chengyu Gu
- Department of Geriatric, Tongde Hospital of Zhejiang Province, Hangzhou, Zhejiang 310012, P.R. China
| | - Ying Zhang
- Department of Geriatric, Tongde Hospital of Zhejiang Province, Hangzhou, Zhejiang 310012, P.R. China
| | - Fuquan Wei
- Department of Geriatric, Tongde Hospital of Zhejiang Province, Hangzhou, Zhejiang 310012, P.R. China
| | - Yougen Cheng
- Department of Geriatric, Tongde Hospital of Zhejiang Province, Hangzhou, Zhejiang 310012, P.R. China
| | - Yulin Cao
- Department of Geriatric, Tongde Hospital of Zhejiang Province, Hangzhou, Zhejiang 310012, P.R. China
| | - Hongtao Hou
- Department of Geriatric, Tongde Hospital of Zhejiang Province, Hangzhou, Zhejiang 310012, P.R. China
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Behdinan T, Foussias G, Wheeler AL, Stefanik L, Felsky D, Remington G, Rajji TK, Mallar Chakravarty M, Voineskos AN. Neuroimaging predictors of functional outcomes in schizophrenia at baseline and 6-month follow-up. Schizophr Res 2015; 169:69-75. [PMID: 26603060 PMCID: PMC4681643 DOI: 10.1016/j.schres.2015.10.023] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/19/2015] [Revised: 10/14/2015] [Accepted: 10/16/2015] [Indexed: 11/28/2022]
Abstract
PURPOSE Studies show that deficit syndrome schizophrenia patients, characterized by primary negative symptoms and poor functional outcome, have impairment in specific neural circuits. We assessed whether these same neural circuits are directly linked to functional outcomes across schizophrenia patients. METHODS T1- and diffusion-weighted MR images were obtained for schizophrenia (n=30) and matched healthy control participants (n=30). Negative symptoms and functional outcome were assessed at baseline and 6-month follow-up. Cortical thickness and tract-wise fractional anisotropy (FA) were compared between groups. To assess relationships of neuroimaging measures with functional outcome, principal component analysis (PCA) was performed on tract-wise FA values and components were entered into a multiple regression model for schizophrenia participants. RESULTS Consistent with the literature, schizophrenia participants showed frontotemporal reductions in cortical thickness and tract-wise FA compared to controls. The top two components from PCA explained 71% of the variance in tract-wise FA values. The second component (associated with inferior longitudinal and arcuate fasciculus FA) was significantly correlated with functional outcome (baseline: β=0.54, p=0.03; follow-up: β=0.74, p=0.047); further analysis revealed this effect was mediated by negative symptoms. Post-hoc network analysis revealed increased cortical coupling between right inferior frontal and supramarginal gyri (connected by the arcuate fasciculus) in schizophrenia participants with poorer functional outcome. CONCLUSIONS Our findings indicate that impairment in the same neural circuitry susceptible in deficit syndrome schizophrenia predicts functional outcome in a continuous manner in schizophrenia participants. This relationship was mediated by negative symptom burden. Our findings provide novel evidence for brain-based biomarkers of longitudinal functional outcome in people with schizophrenia.
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Affiliation(s)
- Tina Behdinan
- Kimel Family Translational Imaging-Genetics Research Lab, Research Imaging Centre, Centre for Addiction and Mental Health, 250 College Street, Toronto, ON M5T 1R8, Canada; Institute of Medical Science, University of Toronto, 27 King's College Circle, Toronto, ON M5S, Canada
| | - George Foussias
- Institute of Medical Science, University of Toronto, 27 King's College Circle, Toronto, ON M5S, Canada; Campbell Family Mental Health Institute, Centre for Addiction and Mental Health, 250 College Street, Toronto, ON M5T 1R8, Canada; Department of Psychiatry, University of Toronto, 27 King's College Circle, Toronto, ON, M5S, Canada
| | - Anne L Wheeler
- Kimel Family Translational Imaging-Genetics Research Lab, Research Imaging Centre, Centre for Addiction and Mental Health, 250 College Street, Toronto, ON M5T 1R8, Canada
| | - Laura Stefanik
- Kimel Family Translational Imaging-Genetics Research Lab, Research Imaging Centre, Centre for Addiction and Mental Health, 250 College Street, Toronto, ON M5T 1R8, Canada
| | - Daniel Felsky
- Kimel Family Translational Imaging-Genetics Research Lab, Research Imaging Centre, Centre for Addiction and Mental Health, 250 College Street, Toronto, ON M5T 1R8, Canada; Institute of Medical Science, University of Toronto, 27 King's College Circle, Toronto, ON M5S, Canada
| | - Gary Remington
- Institute of Medical Science, University of Toronto, 27 King's College Circle, Toronto, ON M5S, Canada; Campbell Family Mental Health Institute, Centre for Addiction and Mental Health, 250 College Street, Toronto, ON M5T 1R8, Canada; Department of Psychiatry, University of Toronto, 27 King's College Circle, Toronto, ON, M5S, Canada
| | - Tarek K Rajji
- Institute of Medical Science, University of Toronto, 27 King's College Circle, Toronto, ON M5S, Canada; Campbell Family Mental Health Institute, Centre for Addiction and Mental Health, 250 College Street, Toronto, ON M5T 1R8, Canada; Department of Psychiatry, University of Toronto, 27 King's College Circle, Toronto, ON, M5S, Canada
| | - M Mallar Chakravarty
- Cerebral Imaging Centre, Douglas Mental Health University Institute, Verdun, QC, Canada; Department of Psychiatry, McGill University, Montreal, QC, Canada
| | - Aristotle N Voineskos
- Kimel Family Translational Imaging-Genetics Research Lab, Research Imaging Centre, Centre for Addiction and Mental Health, 250 College Street, Toronto, ON M5T 1R8, Canada; Institute of Medical Science, University of Toronto, 27 King's College Circle, Toronto, ON M5S, Canada; Campbell Family Mental Health Institute, Centre for Addiction and Mental Health, 250 College Street, Toronto, ON M5T 1R8, Canada; Department of Psychiatry, University of Toronto, 27 King's College Circle, Toronto, ON, M5S, Canada.
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