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Burke T, Holleran L, Mothersill D, Lyons J, O'Rourke N, Gleeson C, Cannon DM, McKernan DP, Morris DW, Kelly JP, Hallahan B, McDonald C, Donohoe G. Bilateral anterior corona radiata microstructure organisation relates to impaired social cognition in schizophrenia. Schizophr Res 2023; 262:87-94. [PMID: 37931564 DOI: 10.1016/j.schres.2023.10.035] [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: 02/20/2023] [Revised: 09/25/2023] [Accepted: 10/28/2023] [Indexed: 11/08/2023]
Abstract
OBJECTIVE The Corona Radiata (CR) is a large white matter tract in the brain comprising of the anterior CR (aCR), superior CR (sCR), and posterior CR (pCR), which have associations with cognition, self-regulation, and, in schizophrenia, positive symptom severity. This study tested the hypothesis that the microstructural organisation of the aCR, as measured by Fractional Anisotropy (FA) using Diffusion Tensor Imaging (DTI), would relate to poorer social cognitive outcomes and higher positive symptom severity for people with schizophrenia, when compared to healthy participants. We further hypothesised that increased positive symptoms would relate to poorer social cognitive outcomes. METHODS Data were derived from n = 178 healthy participants (41 % females; 36.11 ± 12.36 years) and 58 people with schizophrenia (30 % females; 42.4 ± 11.1 years). The Positive and Negative Symptom Severity Scale measured clinical symptom severity. Social Cognition was measured using the Reading the Mind in the Eyes Test (RMET) Total Score, as well as the Positive, Neutral, and Negative stimuli valence. The ENIGMA-DTI protocol tract-based spatial statistics (TBSS) was used. RESULTS There was a significant difference in FA for the CR, in individuals with schizophrenia compared to healthy participants. On stratification, both the aCR and pCR were significantly different between groups, with patients showing reduced white matter tract microstructural organisation. Significant negative correlations were observed between positive symptomatology and reduced microstructural organisation of the aCR. Performance for RMET negative valence items was significantly correlated bilaterally with the aCR, but not the sCR or pCR, and no relationship to positive symptoms was observed. CONCLUSIONS These data highlight specific and significant microstructural white-matter differences for people with schizophrenia, which relates to positive clinical symptomology and poorer performance on social cognition stimuli. While reduced FA is associated with higher positive symptomatology in schizophrenia, this study shows the specific associated with anterior frontal white matter tracts and reduced social cognitive performance. The aCR may have a specific role to play in frontal-disconnection syndromes, psychosis, and social cognitive profile within schizophrenia, though further research requires more sensitive, specific, and detailed consideration of social cognition outcomes.
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Affiliation(s)
- Tom Burke
- School of Psychology, University of Galway, Galway, Ireland; Center for Neuroimaging Cognition and Genomics, University of Galway, Galway, Ireland
| | - Laurena Holleran
- School of Psychology, University of Galway, Galway, Ireland; Center for Neuroimaging Cognition and Genomics, University of Galway, Galway, Ireland
| | - David Mothersill
- School of Psychology, University of Galway, Galway, Ireland; Center for Neuroimaging Cognition and Genomics, University of Galway, Galway, Ireland; Psychology Department, School of Business, National College of, Ireland
| | - James Lyons
- School of Psychology, University of Galway, Galway, Ireland; Center for Neuroimaging Cognition and Genomics, University of Galway, Galway, Ireland
| | - Nathan O'Rourke
- School of Psychology, University of Galway, Galway, Ireland; Center for Neuroimaging Cognition and Genomics, University of Galway, Galway, Ireland
| | - Christina Gleeson
- School of Psychology, University of Galway, Galway, Ireland; Center for Neuroimaging Cognition and Genomics, University of Galway, Galway, Ireland
| | - Dara M Cannon
- Center for Neuroimaging Cognition and Genomics, University of Galway, Galway, Ireland; Clinical Neuroimaging Laboratory, Galway Neuroscience Centre, College of Medicine Nursing and Health Sciences, University of Galway, Galway, Ireland
| | - Declan P McKernan
- Pharmacology & Therapeutics and Galway Neuroscience Centre, National University of Ireland Galway, H91 W5P7 Galway, Ireland
| | - Derek W Morris
- Center for Neuroimaging Cognition and Genomics, University of Galway, Galway, Ireland
| | - John P Kelly
- Pharmacology & Therapeutics and Galway Neuroscience Centre, National University of Ireland Galway, H91 W5P7 Galway, Ireland
| | - Brian Hallahan
- Center for Neuroimaging Cognition and Genomics, University of Galway, Galway, Ireland; Department of Psychiatry, Clinical Science Institute, National University of Ireland Galway, H91 TK33 Galway, Ireland
| | - Colm McDonald
- Center for Neuroimaging Cognition and Genomics, University of Galway, Galway, Ireland; Department of Psychiatry, Clinical Science Institute, National University of Ireland Galway, H91 TK33 Galway, Ireland
| | - Gary Donohoe
- School of Psychology, University of Galway, Galway, Ireland; Center for Neuroimaging Cognition and Genomics, University of Galway, Galway, Ireland.
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Luttenbacher I, Phillips A, Kazemi R, Hadipour AL, Sanghvi I, Martinez J, Adamson MM. Transdiagnostic role of glutamate and white matter damage in neuropsychiatric disorders: A Systematic Review. J Psychiatr Res 2022; 147:324-348. [PMID: 35151030 DOI: 10.1016/j.jpsychires.2021.12.042] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/21/2021] [Revised: 12/08/2021] [Accepted: 12/19/2021] [Indexed: 12/09/2022]
Abstract
Neuropsychiatric disorders including generalized anxiety disorder (GAD), obsessive-compulsive disorder (OCD), major depressive disorder (MDD), bipolar disorder (BD), and schizophrenia (SZ) have been considered distinct categories of diseases despite their overlapping characteristics and symptomatology. We aimed to provide an in-depth review elucidating the role of glutamate/Glx and white matter (WM) abnormalities in these disorders from a transdiagnostic perspective. The PubMed online database was searched for studies published between 2010 and 2021. After careful screening, 401 studies were included. The findings point to decreased levels of glutamate in the Anterior Cingulate Cortex in both SZ and BD, whereas Glx is elevated in the Hippocampus in SZ and MDD. With regard to WM abnormalities, the Corpus Callosum and superior Longitudinal Fascicle were the most consistently identified brain regions showing decreased fractional anisotropy (FA) across all the reviewed disorders, except GAD. Additionally, the Uncinate Fasciculus displayed decreased FA in all disorders, except OCD. Decreased FA was also found in the inferior Longitudinal Fasciculus, inferior Fronto-Occipital Fasciculus, Thalamic Radiation, and Corona Radiata in SZ, BD, and MDD. Decreased FA in the Fornix and Corticospinal Tract were found in BD and SZ patients. The Cingulum and Anterior Limb of Internal Capsule exhibited decreased FA in MDD and SZ patients. The results suggest a gradual increase in severity from GAD to SZ defined by the number of brain regions with WM abnormality which may be partially caused by abnormal glutamate levels. WM damage could thus be considered a potential marker of some of the main neuropsychiatric disorders.
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Affiliation(s)
- Ines Luttenbacher
- Department of Social & Behavioral Sciences, University of Amsterdam, Amsterdam, Netherlands; Rehabilitation Service, Veterans Affairs Palo Alto Health Care System, Palo Alto, CA, USA
| | - Angela Phillips
- Rehabilitation Service, Veterans Affairs Palo Alto Health Care System, Palo Alto, CA, USA; Department of Psychiatry & Behavioral Sciences, Stanford University School of Medicine, Stanford, CA, USA
| | - Reza Kazemi
- Department of Cognitive Psychology, Institute for Cognitive Science Studies, Tehran, Iran
| | - Abed L Hadipour
- Department of Cognitive Sciences, University of Messina, Messina, Italy
| | - Isha Sanghvi
- Rehabilitation Service, Veterans Affairs Palo Alto Health Care System, Palo Alto, CA, USA; Department of Neuroscience, University of Southern California, Los Angeles, CA, USA
| | - Julian Martinez
- Rehabilitation Service, Veterans Affairs Palo Alto Health Care System, Palo Alto, CA, USA; Palo Alto University, Palo Alto, CA, USA
| | - Maheen M Adamson
- Rehabilitation Service, Veterans Affairs Palo Alto Health Care System, Palo Alto, CA, USA; Department of Neurosurgery, Stanford University School of Medicine, Stanford, CA, USA.
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Yang S, Wu Y, Sun L, Ma M, Ou S, Meng Y, Meng J, Zeng C, Huang Q, Wu Y. White matter abnormalities and multivariate pattern analysis in anti-NMDA receptor encephalitis. Front Psychiatry 2022; 13:997758. [PMID: 36213924 PMCID: PMC9537694 DOI: 10.3389/fpsyt.2022.997758] [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: 07/19/2022] [Accepted: 09/05/2022] [Indexed: 11/13/2022] Open
Abstract
OBJECTIVE This study aimed to investigate white matter (WM) microstructural alterations and their relationship correlation with disease severity in anti-NMDA receptor (NMDAR) encephalitis. Multivariate pattern analysis (MVPA) was applied to discriminate between patients and healthy controls and explore potential imaging biomarkers. METHODS Thirty-two patients with anti-NMDAR encephalitis and 26 matched healthy controls underwent diffusion tensor imaging. Tract-based spatial statistics and atlas-based analysis were used to determine WM microstructural alterations between the two groups. MVPA, based on a machine-learning algorithm, was applied to classify patients and healthy controls. RESULTS Patients exhibited significantly reduced fractional anisotropy in the corpus callosum, fornix, cingulum, anterior limb of the internal capsule, and corona radiata. Moreover, mean diffusivity was increased in the anterior corona radiata and body of the corpus callosum. On the other hand, radial diffusivity was increased in the anterior limb of the internal capsule, cingulum, corpus callosum, corona radiata, and fornix. WM changes in the cingulum, fornix, and retrolenticular part of the internal capsule were correlated with disease severity. The accuracy, sensitivity, and specificity of fractional anisotropy-based classification were each 78.33%, while they were 67.71, 65.83, and 70% for radial diffusivity. CONCLUSION Widespread WM lesions were detected in anti-NMDAR encephalitis. The correlation between WM abnormalities and disease severity suggests that these alterations may serve a key role in the pathophysiological mechanisms of anti-NMDAR encephalitis. The combination of tract-based spatial statistics and MVPA may provide more specific and complementary information at the group and individual levels.
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Affiliation(s)
- Shengyu Yang
- Department of Neurology, The First Affiliated Hospital of Guangxi Medical University, Nanning, China
| | - Ying Wu
- Department of Neurology, The First Affiliated Hospital of Guangxi Medical University, Nanning, China
| | - Lanfeng Sun
- Department of Neurology, The First Affiliated Hospital of Guangxi Medical University, Nanning, China
| | - Meigang Ma
- Department of Neurology, The First Affiliated Hospital of Guangxi Medical University, Nanning, China
| | - Sijie Ou
- Department of Neurology, The First Affiliated Hospital of Guangxi Medical University, Nanning, China
| | - Youshi Meng
- Department of Neurology, The First Affiliated Hospital of Guangxi Medical University, Nanning, China
| | - Jie Meng
- Department of Neurology, The First Affiliated Hospital of Guangxi Medical University, Nanning, China
| | - Chunmei Zeng
- Department of Neurology, The First Affiliated Hospital of Guangxi Medical University, Nanning, China
| | - Qi Huang
- Department of Neurology, The First Affiliated Hospital of Guangxi Medical University, Nanning, China
| | - Yuan Wu
- Department of Neurology, The First Affiliated Hospital of Guangxi Medical University, Nanning, China
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Machine learning technique reveals intrinsic characteristics of schizophrenia: an alternative method. Brain Imaging Behav 2020; 13:1386-1396. [PMID: 30159765 DOI: 10.1007/s11682-018-9947-4] [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] [Indexed: 12/17/2022]
Abstract
Machine learning technique has long been utilized to assist disease diagnosis, increasing clinical physicians' confidence in their decision and expediting the process of diagnosis. In this case, machine learning technique serves as a tool for distinguishing patients from healthy people. Additionally, it can also serve as an exploratory method to reveal intrinsic characteristics of a disease based on discriminative features, which was demonstrated in this study. Resting-state functional magnetic resonance imaging (fMRI) data were obtained from 148 participants (including patients with schizophrenia and healthy controls). Connective strengths were estimated by Pearson correlation for each pair of brain regions partitioned according to automated anatomical labelling atlas. Subsequently, consensus connections with high discriminative power were extracted under the circumstance of the best classification accuracy. Investigating these consensus connections, we found that schizophrenia group predominately exhibited weaker strengths of inter-regional connectivity compared to healthy group. Aberrant connectivities in both intra- and inter-hemispherical connections were observed. Within intra-hemispherical connections, the number of aberrant connections in the right hemisphere was more than that of the left hemisphere. In the exploration of large regions, we revealed that the serious dysconnectivities mainly appeared on temporal and occipital regions for the within-large-region connections; while connectivity disruption was observed on the connections from temporal region to occipital, insula and limbic regions for the between-large-region connections. The findings of this study corroborate previous conclusion of dysconnectivity in schizophrenia and further shed light on distribution patterns of dysconnectivity, which deepens the understanding of pathological mechanism of schizophrenia.
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Fitzsimmons J, Rosa P, Sydnor VJ, Reid BE, Makris N, Goldstein JM, Mesholam-Gately RI, Woodberry K, Wojcik J, McCarley RW, Seidman LJ, Shenton ME, Kubicki M. Cingulum bundle abnormalities and risk for schizophrenia. Schizophr Res 2020; 215:385-391. [PMID: 31477373 DOI: 10.1016/j.schres.2019.08.017] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/26/2018] [Revised: 07/22/2019] [Accepted: 08/15/2019] [Indexed: 01/13/2023]
Abstract
BACKGROUND The cingulum bundle (CB) is a major white matter fiber tract of the limbic system that underlies cingulate cortex, passing longitudinally over the corpus callosum. The connectivity of this white matter fiber tract plays a major role in emotional expression, attention, motivation, and working memory, all of which are affected in schizophrenia. Myelin related CB abnormalities have also been implicated in schizophrenia. The purpose of this study is to determine whether or not CB abnormalities are evident in individuals at clinical high risk (CHR) for psychosis, and whether or not cognitive deficits in the domains subserved by CB are related to its structural abnormalities. METHODS Diffusion Tensor Imaging (DTI) was performed on a 3 T magnet. DT tractography was used to evaluate CB in 20 individuals meeting CHR criteria (13 males/7 females) and 23 healthy controls (12 males/11 females) group matched on age, gender, parental socioeconomic status, education, and handedness. Fractional anisotropy (FA), a measure of white matter coherence and integrity, radial diffusivity (RD), thought to reflect myelin integrity, trace, a possible marker of atrophy, and axial diffusivity (AD), thought to reflect axonal integrity, were averaged over the entire tract and used to investigate CB abnormalities in individuals at CHR for psychosis compared with healthy controls. RESULTS Significant group differences were found between individuals at CHR for psychosis and controls for FA (p = 0.028), RD (p = 0.03) and trace (p = 0.031), but not for AD (p = 0.09). We did not find any significant correlations between DTI measures and clinical symptoms. CONCLUSION These findings suggest abnormalities (possibly myelin related) in the CB in individuals at CHR for psychosis.
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Affiliation(s)
- Jennifer Fitzsimmons
- Psychiatry Neuroimaging Laboratory, Department of Psychiatry, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, United States of America; Psychiatry Neuroimaging Laboratory, Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, United States of America.
| | - Pedro Rosa
- Psychiatry Neuroimaging Laboratory, Department of Psychiatry, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, United States of America; Laboratory of Psychiatric Neuroimaging (LIM-21), Department & Institute of Psychiatry, Faculty of Medicine, Center of Interdisciplinary Research on Applied Neurosciences (NAPNA), University of São Paulo, São Paulo, Brazil; Psychiatry Neuroimaging Laboratory, Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, United States of America
| | - Valerie J Sydnor
- Psychiatry Neuroimaging Laboratory, Department of Psychiatry, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, United States of America; Psychiatry Neuroimaging Laboratory, Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, United States of America
| | - Benjamin E Reid
- Psychiatry Neuroimaging Laboratory, Department of Psychiatry, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, United States of America; Psychiatry Neuroimaging Laboratory, Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, United States of America
| | - Nikos Makris
- Psychiatry Neuroimaging Laboratory, Department of Psychiatry, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, United States of America; Department of Psychiatry, Massachusetts General Hospital, Harvard Medical School, Charlestown, MA, United States of America; Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Charlestown, MA, United States of America; Psychiatry Neuroimaging Laboratory, Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, United States of America
| | - Jill M Goldstein
- Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Charlestown, MA, United States of America
| | - Raquelle I Mesholam-Gately
- Beth Israel Deaconess Medical Center-Massachusetts Mental Health Center, Public Psychiatry Division, Harvard Medical School, Boston, MA, United States of America
| | - Kristen Woodberry
- Beth Israel Deaconess Medical Center-Massachusetts Mental Health Center, Public Psychiatry Division, Harvard Medical School, Boston, MA, United States of America
| | - Joanne Wojcik
- Beth Israel Deaconess Medical Center-Massachusetts Mental Health Center, Public Psychiatry Division, Harvard Medical School, Boston, MA, United States of America
| | - Robert W McCarley
- Department of Psychiatry, VA Boston Healthcare System, Harvard Medical School, Boston, MA, United States of America
| | - Larry J Seidman
- Beth Israel Deaconess Medical Center-Massachusetts Mental Health Center, Public Psychiatry Division, Harvard Medical School, Boston, MA, United States of America; Department of Psychiatry, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States of America
| | - Martha E Shenton
- Psychiatry Neuroimaging Laboratory, Department of Psychiatry, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, United States of America; Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, United States of America; Research and Development, VA Boston Healthcare System, Boston, MA, United States of America; Psychiatry Neuroimaging Laboratory, Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, United States of America
| | - Marek Kubicki
- Psychiatry Neuroimaging Laboratory, Department of Psychiatry, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, United States of America; Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, United States of America; Department of Psychiatry, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States of America; Psychiatry Neuroimaging Laboratory, Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, United States of America
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Short communication: Diffusion tensor anisotropy in the cingulate in borderline and schizotypal personality disorder. Psychiatry Res 2019; 279:353-357. [PMID: 31101379 PMCID: PMC6799990 DOI: 10.1016/j.psychres.2019.05.016] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/07/2019] [Revised: 05/09/2019] [Accepted: 05/10/2019] [Indexed: 11/24/2022]
Abstract
Despite considerable phenomentological differences between borderline personality disorder (BPD) and schizotypal personality disorder (SPD), research increasingly provides evidence that some BPD symptoms overlap with SPD symptoms (e.g., disturbed cognitions). We examined the cingulate, a brain region implicated in the pathophysiology of both disorders, to determine similarities/differences between the groups, and similarities/differences from healthy controls (HC's). 3T structural and diffusion tensor magnetic resonance imaging scans were acquired in BPD (n = 27), SPD (n = 32), HC's (n = 34). Results revealed that BPD patients exhibited significantly lower FA in posterior cingulate white matter compared to HC's (p = 0.04), but SPD patients did not.
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Kirino E, Hayakawa Y, Inami R, Inoue R, Aoki S. Simultaneous fMRI-EEG-DTI recording of MMN in patients with schizophrenia. PLoS One 2019; 14:e0215023. [PMID: 31071097 PMCID: PMC6508624 DOI: 10.1371/journal.pone.0215023] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/26/2018] [Accepted: 03/25/2019] [Indexed: 12/02/2022] Open
Abstract
Functional magnetic resonance imaging (fMRI), electroencephalogram (EEG), and diffusion tensor imaging (DTI) recording have complementary spatiotemporal resolution limitations but can be powerful methods when used together to enable both functional and anatomical modeling, with each neuroimaging procedure used to maximum advantage. We recorded EEGs during event-related fMRI followed by DTI in 15 healthy volunteers and 12 patients with schizophrenia using an omission mismatch negativity (MMN) paradigm. Blood oxygenation level-dependent (BOLD) signal changes were calculated in a region of interest (ROI) analysis, and fractional anisotropy (FA) in the white matter fibers related to each area was compared between groups using tract-specific analysis. Patients with schizophrenia had reduced BOLD activity in the left middle temporal gyrus, and BOLD activity in the right insula and right parahippocampal gyrus significantly correlated with positive symptoms on the Positive and Negative Syndrome Scale (PANSS) and hostility subscores. BOLD activation of Heschl’s gyri also correlated with the limbic system, including the insula. FA values in the left anterior cingulate cortex (ACC) significantly correlated with changes in the BOLD signal in the right superior temporal gyrus (STG), and FA values in the right ACC significantly correlated with PANSS scores. This is the first study to examine MMN using simultaneous fMRI, EEG, and DTI recording in patients with schizophrenia to investigate the potential implications of abnormalities in the ACC and limbic system, including the insula and parahippocampal gyrus, as well as the STG. Structural changes in the ACC during schizophrenia may represent part of the neural basis for the observed MMN deficits. The deficits seen in the feedback/feedforward connections between the prefrontal cortex and STG modulated by the ACC and insula may specifically contribute to impaired MMN generation and clinical manifestations.
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Affiliation(s)
- Eiji Kirino
- Department of Psychiatry, Juntendo University Shizuoka Hospital, Izunokuni City, Shizuoka, Japan
- Department of Psychiatry, Juntendo University School of Medicine, Hongo, Bunkyo-ku, Tokyo, Japan
- Juntendo Institute of Mental Health, Fukuroyama, Koshigaya City, Saitama, Japan
- * E-mail:
| | - Yayoi Hayakawa
- Department of Radiology, Graduate School of Medicine, University of Tokyo, Bunkyo-ku, Tokyo, Japan
| | - Rie Inami
- Department of Psychiatry, Juntendo University School of Medicine, Hongo, Bunkyo-ku, Tokyo, Japan
| | - Reiichi Inoue
- Juntendo Institute of Mental Health, Fukuroyama, Koshigaya City, Saitama, Japan
| | - Shigeki Aoki
- Department of Radiology, Juntendo University School of Medicine, Hongo, Bunkyo-ku, Tokyo, Japan
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Newton R, Rouleau A, Nylander AG, Loze JY, Resemann HK, Steeves S, Crespo-Facorro B. Diverse definitions of the early course of schizophrenia-a targeted literature review. NPJ SCHIZOPHRENIA 2018; 4:21. [PMID: 30323274 PMCID: PMC6189105 DOI: 10.1038/s41537-018-0063-7] [Citation(s) in RCA: 36] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 04/27/2018] [Revised: 09/12/2018] [Accepted: 09/12/2018] [Indexed: 01/07/2023]
Abstract
Schizophrenia is a debilitating psychiatric disorder and patients experience significant comorbidity, especially cognitive and psychosocial deficits, already at the onset of disease. Previous research suggests that treatment during the earlier stages of disease reduces disease burden, and that a longer time of untreated psychosis has a negative impact on treatment outcomes. A targeted literature review was conducted to gain insight into the definitions currently used to describe patients with a recent diagnosis of schizophrenia in the early course of disease ('early' schizophrenia). A total of 483 relevant English-language publications of clinical guidelines and studies were identified for inclusion after searches of MEDLINE, MEDLINE In-Process, relevant clinical trial databases and Google for records published between January 2005 and October 2015. The extracted data revealed a wide variety of terminology and definitions used to describe patients with 'early' or 'recent-onset' schizophrenia, with no apparent consensus. The most commonly used criteria to define patients with early schizophrenia included experience of their first episode of schizophrenia or disease duration of less than 1, 2 or 5 years. These varied definitions likely result in substantial disparities of patient populations between studies and variable population heterogeneity. Better agreement on the definition of early schizophrenia could aid interpretation and comparison of studies in this patient population and consensus on definitions should allow for better identification and management of schizophrenia patients in the early course of their disease.
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Affiliation(s)
- Richard Newton
- Austin Health, University of Melbourne, Melbourne, VIC, Australia.,Peninsula Health, Frankston, VIC, Australia
| | | | | | | | | | | | - Benedicto Crespo-Facorro
- Department of Medicine & Psychiatry, University Hospital Marqués de Valdecilla, IDIVAL, Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Santander, Spain
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Zhang Z, Yan T, Wang Y, Zhang Q, Zhao W, Chen X, Zhai J, Chen M, Du B, Deng X, Ji F, Xiang Y, Wu H, Song J, Dong Q, Chen C, Li J. Polymorphism in schizophrenia risk gene MIR137 is associated with the posterior cingulate Cortex's activation and functional and structural connectivity in healthy controls. NEUROIMAGE-CLINICAL 2018; 19:160-166. [PMID: 30035013 PMCID: PMC6051762 DOI: 10.1016/j.nicl.2018.03.039] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 01/04/2018] [Revised: 03/16/2018] [Accepted: 03/31/2018] [Indexed: 12/02/2022]
Abstract
MIR137 gene has been repeatedly reported as a schizophrenia risk gene in genome-wide association studies (GWAS). A polymorphism (rs1625579) at the MIR137 gene has been associated with both neural activation and behavioral performance during a working memory task. This study examined MIR137's associations with task-related (N-back working memory) fMRI, resting state fMRI, and diffusion tensor images (DTI) data in 177 healthy adults. We found less deactivation of the PCC in risk allele homozygotes (TT) as compared to the GT heterozygotes (cluster size = 630 voxels, cluster level PFWE < 0.001) during the N-back task, which replicated previous findings. Using the identified cluster within the PCC as the seed, we further found decreased functional connectivity between the PCC and the anterior cingulate cortex and its adjacent medial prefrontal cortex (ACC/MPFC) in risk allele homozygotes during both resting state (cluster size = 427 voxels, cluster level PFWE = 0.001) and the N-back task (cluster size = 73 voxels, cluster level PFWE = 0.05). Finally, an analysis of our DTI data showed decreased white matter integrity of the posterior cingulum in risk allele homozygotes (cluster size = 214 voxels, cluster level PFWE = 0.03). Taken together, rs1625579 seems to play an important role in both functional and structural connectivity between the PCC and the ACC/MPFC, which may serve as the brain mechanisms for the link between rs1625579 and schizophrenia. This study replicated the association between the risk allele of rs1625579 and altered activations at the PCC. This study found decreased functional connectivity between the PCC and the ACC/MPFC in the risk allele homozygotes. This study found decreased FA value in the posterior cingulum in the risk allele homozygotes.
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Affiliation(s)
- Zhifang Zhang
- State Key Laboratory of Cognitive Neuroscience and Learning & IDG/McGovern Institute for Brain Research, Beijing Normal University, PR China; Center for Collaboration and Innovation in Brain and Learning Sciences, Beijing Normal University, PR China
| | - Tongjun Yan
- The PLA 102nd Hospital and Mental Health Center of Military, Changzhou 213003, PR China
| | - Yanyan Wang
- The PLA 102nd Hospital and Mental Health Center of Military, Changzhou 213003, PR China
| | - Qiumei Zhang
- School of Mental Health, Jining Medical University, 45# Jianshe South Road, Jining 272013, Shandong Province, PR China; State Key Laboratory of Cognitive Neuroscience and Learning & IDG/McGovern Institute for Brain Research, Beijing Normal University, PR China; Center for Collaboration and Innovation in Brain and Learning Sciences, Beijing Normal University, PR China
| | - Wan Zhao
- State Key Laboratory of Cognitive Neuroscience and Learning & IDG/McGovern Institute for Brain Research, Beijing Normal University, PR China; Center for Collaboration and Innovation in Brain and Learning Sciences, Beijing Normal University, PR China
| | - Xiongying Chen
- State Key Laboratory of Cognitive Neuroscience and Learning & IDG/McGovern Institute for Brain Research, Beijing Normal University, PR China; Center for Collaboration and Innovation in Brain and Learning Sciences, Beijing Normal University, PR China
| | - Jinguo Zhai
- School of Mental Health, Jining Medical University, 45# Jianshe South Road, Jining 272013, Shandong Province, PR China
| | - Min Chen
- School of Mental Health, Jining Medical University, 45# Jianshe South Road, Jining 272013, Shandong Province, PR China
| | - Boqi Du
- State Key Laboratory of Cognitive Neuroscience and Learning & IDG/McGovern Institute for Brain Research, Beijing Normal University, PR China; Center for Collaboration and Innovation in Brain and Learning Sciences, Beijing Normal University, PR China
| | - Xiaoxiang Deng
- State Key Laboratory of Cognitive Neuroscience and Learning & IDG/McGovern Institute for Brain Research, Beijing Normal University, PR China; Center for Collaboration and Innovation in Brain and Learning Sciences, Beijing Normal University, PR China
| | - Feng Ji
- School of Mental Health, Jining Medical University, 45# Jianshe South Road, Jining 272013, Shandong Province, PR China
| | - Yutao Xiang
- Beijing Anding Hospital, Beijing 100088, PR China; Faculty of Health Sciences, University of Macau, Avenida da Universidade, Taipa, Macau
| | - Hongjie Wu
- Shengli Hospital of Shengli Petroleum Administration Bureau, Dongying 257022, Shandong Province, PR China
| | - Jie Song
- Shengli Hospital of Shengli Petroleum Administration Bureau, Dongying 257022, Shandong Province, PR China
| | - Qi Dong
- State Key Laboratory of Cognitive Neuroscience and Learning & IDG/McGovern Institute for Brain Research, Beijing Normal University, PR China; Center for Collaboration and Innovation in Brain and Learning Sciences, Beijing Normal University, PR China
| | - Chuansheng Chen
- Department of Psychology and Social Behavior, University of California, Irvine, CA 92697, United States
| | - Jun Li
- State Key Laboratory of Cognitive Neuroscience and Learning & IDG/McGovern Institute for Brain Research, Beijing Normal University, PR China; Center for Collaboration and Innovation in Brain and Learning Sciences, Beijing Normal University, PR China.
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10
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Corcoba A, Steullet P, Duarte JMN, Van de Looij Y, Monin A, Cuenod M, Gruetter R, Do KQ. Glutathione Deficit Affects the Integrity and Function of the Fimbria/Fornix and Anterior Commissure in Mice: Relevance for Schizophrenia. Int J Neuropsychopharmacol 2015; 19:pyv110. [PMID: 26433393 PMCID: PMC4815475 DOI: 10.1093/ijnp/pyv110] [Citation(s) in RCA: 34] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/12/2015] [Accepted: 09/24/2015] [Indexed: 11/30/2022] Open
Abstract
BACKGROUND Structural anomalies of white matter are found in various brain regions of patients with schizophrenia and bipolar and other psychiatric disorders, but the causes at the cellular and molecular levels remain unclear. Oxidative stress and redox dysregulation have been proposed to play a role in the pathophysiology of several psychiatric conditions, but their anatomical and functional consequences are poorly understood. The aim of this study was to investigate white matter throughout the brain in a preclinical model of redox dysregulation. METHODS In a mouse model with impaired glutathione synthesis (Gclm KO), a state-of-the-art multimodal magnetic resonance protocol at high field (14.1 T) was used to assess longitudinally the white matter structure, prefrontal neurochemical profile, and ventricular volume. Electrophysiological recordings in the abnormal white matter tracts identified by diffusion tensor imaging were performed to characterize the functional consequences of fractional anisotropy alterations. RESULTS Structural alterations observed at peri-pubertal age and adulthood in Gclm KO mice were restricted to the anterior commissure and fornix-fimbria. Reduced fractional anisotropy in the anterior commissure (-7.5% ± 1.9, P<.01) and fornix-fimbria (-4.5% ± 1.3, P<.05) were accompanied by reduced conduction velocity in fast-conducting fibers of the posterior limb of the anterior commissure (-14.3% ± 5.1, P<.05) and slow-conducting fibers of the fornix-fimbria (-8.6% ± 2.6, P<.05). Ventricular enlargement was found at peri-puberty (+25% ± 8 P<.05) but not in adult Gclm KO mice. CONCLUSIONS Glutathione deficit in Gclm KO mice affects ventricular size and the integrity of the fornix-fimbria and anterior commissure. This suggests that redox dysregulation could contribute during neurodevelopment to the impaired white matter and ventricle enlargement observed in schizophrenia and other psychiatric disorders.
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Affiliation(s)
- Alberto Corcoba
- Laboratory for Functional and Metabolic Imaging, École Polytechnique Fédérale de Lausanne, Lausanne, Switzerland (Mr Corcoba, and Drs Duarte, Van de Looij, and Gruetter); Center for Psychiatric Neuroscience, Department of Psychiatry, Lausanne University Hospital, CHUV, Lausanne, Switzerland (Mr Corcoba, Drs Steullet, Monin, Cuenod, and Do); Division of Child Growth & Development, University of Geneva, Geneva, Switzerland (Dr Van de Looij); Department of Radiology, University Hospital, Lausanne, Switzerland (Dr Gruetter); Department of Radiology, University Hospital, Geneva, Switzerland (Dr Gruetter)
| | - Pascal Steullet
- Laboratory for Functional and Metabolic Imaging, École Polytechnique Fédérale de Lausanne, Lausanne, Switzerland (Mr Corcoba, and Drs Duarte, Van de Looij, and Gruetter); Center for Psychiatric Neuroscience, Department of Psychiatry, Lausanne University Hospital, CHUV, Lausanne, Switzerland (Mr Corcoba, Drs Steullet, Monin, Cuenod, and Do); Division of Child Growth & Development, University of Geneva, Geneva, Switzerland (Dr Van de Looij); Department of Radiology, University Hospital, Lausanne, Switzerland (Dr Gruetter); Department of Radiology, University Hospital, Geneva, Switzerland (Dr Gruetter)
| | - João M N Duarte
- Laboratory for Functional and Metabolic Imaging, École Polytechnique Fédérale de Lausanne, Lausanne, Switzerland (Mr Corcoba, and Drs Duarte, Van de Looij, and Gruetter); Center for Psychiatric Neuroscience, Department of Psychiatry, Lausanne University Hospital, CHUV, Lausanne, Switzerland (Mr Corcoba, Drs Steullet, Monin, Cuenod, and Do); Division of Child Growth & Development, University of Geneva, Geneva, Switzerland (Dr Van de Looij); Department of Radiology, University Hospital, Lausanne, Switzerland (Dr Gruetter); Department of Radiology, University Hospital, Geneva, Switzerland (Dr Gruetter)
| | - Yohan Van de Looij
- Laboratory for Functional and Metabolic Imaging, École Polytechnique Fédérale de Lausanne, Lausanne, Switzerland (Mr Corcoba, and Drs Duarte, Van de Looij, and Gruetter); Center for Psychiatric Neuroscience, Department of Psychiatry, Lausanne University Hospital, CHUV, Lausanne, Switzerland (Mr Corcoba, Drs Steullet, Monin, Cuenod, and Do); Division of Child Growth & Development, University of Geneva, Geneva, Switzerland (Dr Van de Looij); Department of Radiology, University Hospital, Lausanne, Switzerland (Dr Gruetter); Department of Radiology, University Hospital, Geneva, Switzerland (Dr Gruetter)
| | - Aline Monin
- Laboratory for Functional and Metabolic Imaging, École Polytechnique Fédérale de Lausanne, Lausanne, Switzerland (Mr Corcoba, and Drs Duarte, Van de Looij, and Gruetter); Center for Psychiatric Neuroscience, Department of Psychiatry, Lausanne University Hospital, CHUV, Lausanne, Switzerland (Mr Corcoba, Drs Steullet, Monin, Cuenod, and Do); Division of Child Growth & Development, University of Geneva, Geneva, Switzerland (Dr Van de Looij); Department of Radiology, University Hospital, Lausanne, Switzerland (Dr Gruetter); Department of Radiology, University Hospital, Geneva, Switzerland (Dr Gruetter)
| | - Michel Cuenod
- Laboratory for Functional and Metabolic Imaging, École Polytechnique Fédérale de Lausanne, Lausanne, Switzerland (Mr Corcoba, and Drs Duarte, Van de Looij, and Gruetter); Center for Psychiatric Neuroscience, Department of Psychiatry, Lausanne University Hospital, CHUV, Lausanne, Switzerland (Mr Corcoba, Drs Steullet, Monin, Cuenod, and Do); Division of Child Growth & Development, University of Geneva, Geneva, Switzerland (Dr Van de Looij); Department of Radiology, University Hospital, Lausanne, Switzerland (Dr Gruetter); Department of Radiology, University Hospital, Geneva, Switzerland (Dr Gruetter)
| | - Rolf Gruetter
- Laboratory for Functional and Metabolic Imaging, École Polytechnique Fédérale de Lausanne, Lausanne, Switzerland (Mr Corcoba, and Drs Duarte, Van de Looij, and Gruetter); Center for Psychiatric Neuroscience, Department of Psychiatry, Lausanne University Hospital, CHUV, Lausanne, Switzerland (Mr Corcoba, Drs Steullet, Monin, Cuenod, and Do); Division of Child Growth & Development, University of Geneva, Geneva, Switzerland (Dr Van de Looij); Department of Radiology, University Hospital, Lausanne, Switzerland (Dr Gruetter); Department of Radiology, University Hospital, Geneva, Switzerland (Dr Gruetter)
| | - Kim Q Do
- Laboratory for Functional and Metabolic Imaging, École Polytechnique Fédérale de Lausanne, Lausanne, Switzerland (Mr Corcoba, and Drs Duarte, Van de Looij, and Gruetter); Center for Psychiatric Neuroscience, Department of Psychiatry, Lausanne University Hospital, CHUV, Lausanne, Switzerland (Mr Corcoba, Drs Steullet, Monin, Cuenod, and Do); Division of Child Growth & Development, University of Geneva, Geneva, Switzerland (Dr Van de Looij); Department of Radiology, University Hospital, Lausanne, Switzerland (Dr Gruetter); Department of Radiology, University Hospital, Geneva, Switzerland (Dr Gruetter).
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11
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Zhou Y, Fan L, Qiu C, Jiang T. Prefrontal cortex and the dysconnectivity hypothesis of schizophrenia. Neurosci Bull 2015; 31:207-19. [PMID: 25761914 DOI: 10.1007/s12264-014-1502-8] [Citation(s) in RCA: 126] [Impact Index Per Article: 14.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/05/2014] [Accepted: 11/20/2014] [Indexed: 12/15/2022] Open
Abstract
Schizophrenia is hypothesized to arise from disrupted brain connectivity. This "dysconnectivity hypothesis" has generated interest in discovering whether there is anatomical and functional dysconnectivity between the prefrontal cortex (PFC) and other brain regions, and how this dysconnectivity is linked to the impaired cognitive functions and aberrant behaviors of schizophrenia. Critical advances in neuroimaging technologies, including diffusion tensor imaging (DTI) and functional magnetic resonance imaging (fMRI), make it possible to explore these issues. DTI affords the possibility to explore anatomical connectivity in the human brain in vivo and fMRI can be used to make inferences about functional connections between brain regions. In this review, we present major advances in the understanding of PFC anatomical and functional dysconnectivity and their implications in schizophrenia. We then briefly discuss future prospects that need to be explored in order to move beyond simple mapping of connectivity changes to elucidate the neuronal mechanisms underlying schizophrenia.
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Affiliation(s)
- Yuan Zhou
- Key Laboratory of Behavioral Science, Institute of Psychology, Chinese Academy of Sciences, Beijing, 100101, China
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12
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Fitzsimmons J, Schneiderman JS, Whitford TJ, Swisher T, Niznikiewicz MA, Pelavin PE, Terry DP, Mesholam-Gately RI, Seidman LJ, Goldstein JM, Kubicki M. Cingulum bundle diffusivity and delusions of reference in first episode and chronic schizophrenia. Psychiatry Res 2014; 224:124-32. [PMID: 25174840 PMCID: PMC4195812 DOI: 10.1016/j.pscychresns.2014.08.002] [Citation(s) in RCA: 19] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/19/2013] [Revised: 06/18/2014] [Accepted: 08/02/2014] [Indexed: 01/12/2023]
Abstract
The goal of this study was to assess integrity of the cingulum bundle in patients diagnosed with first episode schizophrenia, chronic schizophrenia, and matched controls as well as to determine the relationship between diffusion measures of cingulum bundle integrity and severity of patients' delusions of reference. Participants, who comprised 18 first episode patients, 20 chronic patients, and two groups of matched controls (20 subjects in each), underwent 3 T MRI diffusion tensor imaging. Patients diagnosed with schizophrenia (chronic+first episode) showed decreased fractional anisotropy in the right cingulum bundle compared with controls. First episode patients exhibited higher trace bilaterally, compared with matched controls, and on the left compared with chronic patients. Axial diffusivity was increased in first episode patients, bilaterally, compared with matched controls and chronic patients. Radial diffusivity was also higher, bilaterally, in first episode patients compared with matched controls, and on the right compared with chronic patients. Trace diffusity and radial diffusivity in first episode patients were significantly correlated with increased severity of delusions of reference. Given that the abnormalities were present only in first episode patients and were not observed in chronic cases, it appears that they normalize over time. These abnormalities in first episode patients involved diffusivity measures in all directions (trace, radial and axial), suggesting a likely acute, partially reversible process in which there is an increase in brain water content, i.e., swelling, edema, or inflammation, that may reflect an early neuroinflammatory response in first episode patients.
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Affiliation(s)
- Jennifer Fitzsimmons
- Psychiatry Neuroimaging Laboratory, Department of Psychiatry, Brigham and Women׳s Hospital, Harvard Medical School, Boston, MA, USA.
| | - Jason S. Schneiderman
- Psychiatry Neuroimaging Laboratory, Department of Psychiatry, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA; USA,Wyle, Houston, TX; USA
| | - Thomas J. Whitford
- Psychiatry Neuroimaging Laboratory, Department of Psychiatry, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA; USA,School of Psychology, University of New South Wales, Sydney, NSW, Australia
| | - Tali Swisher
- Psychiatry Neuroimaging Laboratory, Department of Psychiatry, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA; USA
| | - Margaret A. Niznikiewicz
- Cognitive Neuroscience Laboratory, Veterans Affairs Boston Healthcare System, Brockton Division, Brockton, MA; USA
| | - Paula E. Pelavin
- Psychiatry Neuroimaging Laboratory, Department of Psychiatry, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA; USA
| | - Douglas P. Terry
- Psychiatry Neuroimaging Laboratory, Department of Psychiatry, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA; USA
| | - Raquelle I. Mesholam-Gately
- Beth Israel Deaconess Medical Center-Massachusetts Mental Health Center, Public Psychiatry Division, Harvard Medical School, Boston, MA; USA
| | - Larry J. Seidman
- Beth Israel Deaconess Medical Center-Massachusetts Mental Health Center, Public Psychiatry Division, Harvard Medical School, Boston, MA; USA
| | - Jill M. Goldstein
- Beth Israel Deaconess Medical Center-Massachusetts Mental Health Center, Public Psychiatry Division, Harvard Medical School, Boston, MA; USA,Division of Women's Health, Connors Center for Women's Health & Gender Biology, Departments of Psychiatry and Medicine, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA; USA
| | - Marek Kubicki
- Psychiatry Neuroimaging Laboratory, Department of Psychiatry, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA; USA,Surgical Planning Laboratory, MRI Division, Department of Radiology, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA; USA
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13
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Hayakawa YK, Kirino E, Shimoji K, Kamagata K, Hori M, Ito K, Kunimatsu A, Abe O, Ohtomo K, Aoki S. Anterior cingulate abnormality as a neural correlate of mismatch negativity in schizophrenia. Neuropsychobiology 2014; 68:197-204. [PMID: 24192500 DOI: 10.1159/000355296] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/14/2012] [Accepted: 08/26/2013] [Indexed: 11/19/2022]
Abstract
BACKGROUND Limbic circuitry, especially the anterior cingulate gyrus, has been implicated in the pathophysiology and cognitive changes of schizophrenia. Previous diffusion tensor imaging studies have demonstrated that the integrity of the anterior cingulum (AC) is abnormal in schizophrenia. However, the relationship between the abnormal AC tract integrity and the pathophysiology of schizophrenia has not been fully studied. METHODS We performed a voxelwise group comparison of white matter fractional anisotropy (FA) by using tract-based spatial statistics in 9 patients with schizophrenia and 9 matched controls. We then measured FA specifically in the AC by using a tract-specific measurement. The latency and amplitude of the mismatch negativity (MMN) were also evaluated in all subjects. RESULTS In patients with schizophrenia, tract-based spatial statistics showed a reduction in FA in broad white matter areas, including the bilateral AC, compared with controls. Tract-specific measurements confirmed the specific reduction of FA in the region of the bilateral AC. The decreased FA in the AC was correlated with prolonged MMN latency in the patient group. CONCLUSION Our study of AC structure and electrophysiological changes in schizophrenia suggest that the disruption of limbic-cortical structural networks may be part of the neural basis underlying the changes in MMN in schizophrenia.
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Affiliation(s)
- Yayoi K Hayakawa
- Department of Radiology, Graduate School of Medicine, University of Tokyo, Bunkyo-ku, Japan
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14
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Wheeler AL, Voineskos AN. A review of structural neuroimaging in schizophrenia: from connectivity to connectomics. Front Hum Neurosci 2014; 8:653. [PMID: 25202257 PMCID: PMC4142355 DOI: 10.3389/fnhum.2014.00653] [Citation(s) in RCA: 169] [Impact Index Per Article: 16.9] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/01/2014] [Accepted: 08/05/2014] [Indexed: 11/13/2022] Open
Abstract
In patients with schizophrenia neuroimaging studies have revealed global differences with some brain regions showing focal abnormalities. Examining neurocircuitry, diffusion-weighted imaging studies have identified altered structural integrity of white matter in frontal and temporal brain regions and tracts such as the cingulum bundles, uncinate fasciculi, internal capsules and corpus callosum associated with the illness. Furthermore, structural co-variance analyses have revealed altered structural relationships among regional morphology in the thalamus, frontal, temporal and parietal cortices in schizophrenia patients. The distributed nature of these abnormalities in schizophrenia suggests that multiple brain circuits are impaired, a neural feature that may be better addressed with network level analyses. However, even with the advent of these newer analyses, a large amount of variability in findings remains, likely partially due to the considerable heterogeneity present in this disorder.
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Affiliation(s)
- Anne L Wheeler
- Kimel Family Translational Imaging Genetics Laboratory, Centre for Addiction and Mental Health, Research Imaging Centre Toronto, ON, Canada ; Department of Psychiatry, University of Toronto Toronto, ON, Canada
| | - Aristotle N Voineskos
- Kimel Family Translational Imaging Genetics Laboratory, Centre for Addiction and Mental Health, Research Imaging Centre Toronto, ON, Canada ; Department of Psychiatry, University of Toronto Toronto, ON, Canada
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15
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Abstract
Integrative Body-Mind Training (IBMT) originates from ancient Eastern tradition. The method stresses no effort to control thoughts, but instead a state of restful alertness that allows a high degree of awareness of the body, breathing, and external instructions. A series of studies indicates that IBMT improves attention and self-regulation through interaction between the central (brain) and the autonomic (body) nervous systems. The present review mainly summarizes the recent results of IBMT studies and proposes how it changes the state of brain and body to lead to positive outcomes. Future directions in this field are also discussed.
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Affiliation(s)
- Yi-Yuan Tang
- Institute of Neuroinformatics and Lab for Body and Mind, Dalian University of Technology, Dalian 116024, China.
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16
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Cui L, Chen Z, Deng W, Huang X, Li M, Ma X, Huang C, Jiang L, Wang Y, Wang Q, Collier DA, Gong Q, Li T. Assessment of white matter abnormalities in paranoid schizophrenia and bipolar mania patients. Psychiatry Res 2011; 194:347-353. [PMID: 22079662 DOI: 10.1016/j.pscychresns.2011.03.010] [Citation(s) in RCA: 48] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/09/2010] [Revised: 03/25/2011] [Accepted: 03/26/2011] [Indexed: 02/05/2023]
Abstract
White matter abnormalities have been repeatedly reported in both schizophrenia and bipolar disorder (BD) in diffusion tensor imaging (DTI) studies, but the empirical evidence about the diagnostic specificity of white matter abnormalities in these disorders is still limited. This study sought to investigate the alterations in fractional anisotropy (FA) in white matter throughout the entire brain of patients from Chengdu, China with paranoid schizophrenia and bipolar mania. For this purpose, DTI was used to assess white matter integrity in patients with paranoid schizophrenia (n=25) and psychotic bipolar mania (n=18) who had been treated with standard pharmacotherapy for fewer than 5 days at the time of study, as well as in normal controls (n=30). The differences in FA were measured by use of voxel-based analysis. The results show that reduced FA was found in the left posterior corona radiata (PCR) in patients with psychotic bipolar mania and paranoid schizophrenia compared to the controls. Patients with psychotic bipolar mania also showed a significant reduction in FA in right posterior corona radiata and in right anterior thalamic radiation (ATR). A direct comparison between the two patient groups found no significant differences in any regions, and none of the findings were associated with illness duration. Correlation analysis indicated that FA values showed a significant negative correlation with positive symptom scores on the Positive and Negative Syndrome Scale in the left frontal-parietal lobe in the paranoid schizophrenia. It was concluded that common abnormalities in the left PCR might imply an overlap in white matter pathology in the two disorders and might be related to shared risk factors for the two disorders.
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Affiliation(s)
- Liqian Cui
- The Department of Psychiatry & Psychiatric Laboratory, State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu, Sichuan Province, China; The Department of Psychiatry,The First Affiliated Hospital of Guangzhou Medical College, Guangzhou, China
| | - Zhuangfei Chen
- The Department of Psychiatry & Psychiatric Laboratory, State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu, Sichuan Province, China
| | - Wei Deng
- The Department of Psychiatry & Psychiatric Laboratory, State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu, Sichuan Province, China
| | - Xiaoqi Huang
- MRI center, West China Hospital, Sichuan University, Chengdu, Sichuan Province, China
| | - Mingli Li
- The Department of Psychiatry & Psychiatric Laboratory, State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu, Sichuan Province, China
| | - Xiaohong Ma
- The Department of Psychiatry & Psychiatric Laboratory, State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu, Sichuan Province, China
| | - Chaohua Huang
- The Department of Psychiatry & Psychiatric Laboratory, State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu, Sichuan Province, China
| | - Lijun Jiang
- The Department of Psychiatry & Psychiatric Laboratory, State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu, Sichuan Province, China
| | - Yingcheng Wang
- The Department of Psychiatry & Psychiatric Laboratory, State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu, Sichuan Province, China
| | - Qiang Wang
- The Department of Psychiatry & Psychiatric Laboratory, State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu, Sichuan Province, China
| | - David A Collier
- King's College London, MRC Social Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, London, UK
| | - Qiyong Gong
- MRI center, West China Hospital, Sichuan University, Chengdu, Sichuan Province, China
| | - Tao Li
- The Department of Psychiatry & Psychiatric Laboratory, State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu, Sichuan Province, China; King's College London, Department of Psychiatry and Psychological Medicine, Institute of Psychiatry, London, UK; King's College London, MRC Social Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, London, UK.
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17
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Shad MU, Brent BK, Keshavan MS. Neurobiology of self-awareness deficits in schizophrenia: A hypothetical model. Asian J Psychiatr 2011; 4:248-54. [PMID: 23051156 DOI: 10.1016/j.ajp.2011.09.002] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/11/2011] [Accepted: 09/28/2011] [Indexed: 11/26/2022]
Abstract
Self-awareness (SA) is a cognitive ability to differentiate between self and non-self cues and is pivotal to understand the behavior of other human beings. For this reason, there has been a significant interest to investigate the neurobiology of SA in human subjects. So far the majority of such research has been conducted in healthy subjects but a significant relationship between impaired SA and poor psychosocial outcome in schizophrenia has stimulated neuroimaging research in this patient population. The results from small number of neuroimaging studies in schizophrenia suggest that impaired SA may be mediated by a dysfunction of cortical midline structures. This paper is an attempt to review emerging functional magnetic resonance imaging (fMRI) data in schizophrenia and to propose a hypothetical model of deficits in SA in schizophrenia that can be tested in future research. The model is refined from the available literature and proposes that self-referential activity appears to reflect a shift from activation of anterior to posterior cortical midline structures in schizophrenia subjects, which may be related to lack of functional connectivity between different cortical midline regions.
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Affiliation(s)
- Mujeeb U Shad
- The University of Texas Health Science Center, 1421 East Road BBSB # 3118, Houston, TX 77054, United States
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18
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Schneiderman JS, Hazlett EA, Chu KW, Zhang J, Goodman CR, Newmark RE, Torosjan Y, Canfield EL, Entis J, Mitropoulou V, Tang CY, Friedman J, Buchsbaum MS. Brodmann area analysis of white matter anisotropy and age in schizophrenia. Schizophr Res 2011; 130:57-67. [PMID: 21600737 PMCID: PMC3139821 DOI: 10.1016/j.schres.2011.04.027] [Citation(s) in RCA: 24] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/15/2010] [Revised: 04/22/2011] [Accepted: 04/25/2011] [Indexed: 11/27/2022]
Abstract
Diffusion tensor and structural MRI images were acquired on ninety-six patients with schizophrenia (69 men and 27 women) between the ages of 18 and 79 (mean=39.83, SD=15.16 DSM-IV diagnosis of schizophrenia according to the Comprehensive Assessment of Symptoms and History). The patients reported a mean age of onset of 23 years (range=13-38, SD=6). Patients were divided into an acute subgroup (duration ≤3 years, n=25), and a chronic subgroup (duration >3 years, n=64). Ninety-three mentally normal comparison subjects were recruited; 55 men and 38 women between the ages of 18 and 82 (mean=35.77, SD=18.12). The MRI images were segmented by Brodmann area, and the fractional anisotropy (FA) for the white matter within each Brodmann area was calculated. The FA in white matter was decreased in patients with schizophrenia broadly across the entire brain, but to a greater extent in white matter underneath frontal, temporal and cingulate cortical areas. Both normals and patients with schizophrenia showed a decrease in anisotropy with age but patients with schizophrenia showed a significantly greater rate of decrease in FA in Brodmann area 10 bilaterally, 11 in the left hemisphere and 34 in the right hemisphere. When the effect of age was removed, patients ill more than three years showed lower anisotropy in frontal motor and cingulate white matter in comparison to acute patients ill three years or less, consistent with an ongoing progression of the illness.
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Affiliation(s)
- Jason S Schneiderman
- Department of Psychiatry, Brigham and Women's Hospital, Harvard Medical School, Boston, MA 02215, United States.
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19
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Waters-Metenier SL, Toulopoulou T. Putative diffusion tensor neuroimaging endophenotypes in schizophrenia: a review of the early evidence. FUTURE NEUROLOGY 2011. [DOI: 10.2217/fnl.11.16] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
Abstract
Although schizophrenia has a high heritability, the genetic effects conferring diathesis to schizophrenia are thought to be complex and underlain by multifactorial polygenic inheritance. ‘Endophenotypes’, or ‘intermediate phenotypes’, are narrowed constructs of genetic risk that are assumed to be more proximal to the gene effects in the disease pathway than clinical phenotypes. A current aim in schizophrenia research is to identify promising putative endophenotypes for use in molecular genetics studies. Recently, much of the focus has been on neurocognitive, conventional T1-weighted structural MRI, functional MRI and electrophysiological endophenotypes. Diffusion tensor imaging has emerged as another important structural neuroimaging modality in the aim to identify abnormalities in brain connectivity and diffusivity in schizophrenia, and abnormalities detected via this method may be promising candidate endophenotypes. In this article, we present the first comprehensive review of the early evidence that qualifies diffusion tensor abnormalities as potentially appropriate endophenotypes of schizophrenia.
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Affiliation(s)
- Sheena Lindsey Waters-Metenier
- Department of Psychosis Studies, King’s College London, King’s Health Partners, Institute of Psychiatry, London SE5 8AF, UK
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20
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Abdul-Rahman MF, Qiu A, Sim K. Regionally specific white matter disruptions of fornix and cingulum in schizophrenia. PLoS One 2011; 6:e18652. [PMID: 21533181 PMCID: PMC3077390 DOI: 10.1371/journal.pone.0018652] [Citation(s) in RCA: 76] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/26/2010] [Accepted: 03/12/2011] [Indexed: 11/25/2022] Open
Abstract
Limbic circuitry disruptions have been implicated in the psychopathology and cognitive deficits of schizophrenia, which may involve white matter disruptions of the major tracts of the limbic system, including the fornix and the cingulum. Our study aimed to investigate regionally specific abnormalities of the fornix and cingulum in schizophrenia using diffusion tensor imaging (DTI). We determined the fractional anisotropy (FA), radial diffusivity (RD), and axial diffusivity (AD) profiles along the fornix and cingulum tracts using a fibertracking technique and a brain mapping algorithm, the large deformation diffeomorphic metric mapping (LDDMM), in the DTI scans of 33 patients with schizophrenia and 31 age-, gender-, and handedness-matched healthy controls. We found that patients with schizophrenia showed reduction in FA and increase in RD in bilateral fornix, and increase in RD in left anterior cingulum when compared to healthy controls. In addition, tract-based analysis revealed specific loci of these white matter differences in schizophrenia, that is, FA reductions and AD and RD increases occur in the region of the left fornix further from the hippocampus, FA reductions and RD increases occur in the rostral portion of the left anterior cingulum, and RD and AD increases occur in the anterior segment of the left middle cingulum. In patients with schizophrenia, decreased FA in the specific loci of the left fornix and increased AD in the right cingulum adjoining the hippocampus correlated with greater severity of psychotic symptoms. These findings support precise disruptions of limbic-cortical integrity in schizophrenia and disruption of these structural networks may contribute towards the neural basis underlying the syndrome of schizophrenia and clinical symptomatology.
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Affiliation(s)
| | - Anqi Qiu
- Division of Bioengineering, National University of Singapore, Singapore, Singapore
- Clinical Imaging Research Center, National University of Singapore, Singapore, Singapore
- Singapore Institute for Clinical Sciences, the Agency for Science, Technology and Research, Singapore, Singapore
- * E-mail:
| | - Kang Sim
- Research Department, Institute of Mental Health, Singapore, Singapore
- Department of General Psychiatry, Institute of Mental Health, Singapore, Singapore
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Lord LD, Allen P, Expert P, Howes O, Lambiotte R, McGuire P, Bose SK, Hyde S, Turkheimer FE. Characterization of the anterior cingulate's role in the at-risk mental state using graph theory. Neuroimage 2011; 56:1531-9. [PMID: 21316462 DOI: 10.1016/j.neuroimage.2011.02.012] [Citation(s) in RCA: 41] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/28/2010] [Revised: 01/12/2011] [Accepted: 02/02/2011] [Indexed: 12/11/2022] Open
Abstract
The onset of positive symptoms in schizophrenia is often preceded by a prodromal phase characterized by neurocognitive abnormalities as well as changes in brain structure and function. Increasing efforts have been made to identify individuals at elevated risk of developing schizophrenia, as early intervention may help prevent progression towards psychosis. The present study uses functional MRI and graph theoretical analysis to characterize the organization of a functional brain network in at-risk mental state patients with varying symptoms assessed with the PANSS and healthy volunteers during performance of a verbal fluency task known to recruit frontal lobe networks and to be impaired in psychosis. We first examined between-groups differences in total network connectivity and global network compactness/efficiency. We then addressed the role of specific brain regions in the network organization by calculating the node-specific "betweeness centrality", "degree centrality" and "local average path length" metrics; different ways of assessing a region's importance in a network. We focused our analysis on the anterior cingulate cortex (ACC); a region known to support executive function that is structurally and functionally impaired in at-risk mental state patients. Although global network connectivity and efficiency were maintained in at-risk patients relative to the controls, we report a significant decrease in the contribution of the ACC to task-relevant network organization in at risk subjects with elevated symptoms (PANSS ≥ 45) relative to both the controls and the less symptomatic at-risk subjects, as reflected by a reduction in the topological centrality of the ACC. These findings provide evidence of network abnormalities and anterior cingulate cortex dysfunction in people with prodromal signs of schizophrenia.
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Affiliation(s)
- Louis-David Lord
- Department of Experimental Medicine, Imperial College London, London, UK.
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Hazlett EA, Goldstein KE, Tajima-Pozo K, Speidel ER, Zelmanova Y, Entis JJ, Silverman JM, New AS, Koenigsberg HW, Haznedar MM, Byne W, Siever LJ. Cingulate and temporal lobe fractional anisotropy in schizotypal personality disorder. Neuroimage 2011; 55:900-8. [PMID: 21223999 DOI: 10.1016/j.neuroimage.2010.12.082] [Citation(s) in RCA: 22] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2010] [Revised: 12/14/2010] [Accepted: 12/30/2010] [Indexed: 10/18/2022] Open
Abstract
BACKGROUND Consistent with the clinical picture of milder symptomatology in schizotypal personality disorder (SPD) than schizophrenia, morphological studies indicate SPD abnormalities in temporal lobe regions but to a much lesser extent in prefrontal regions implicated in schizophrenia. Lower fractional anisotropy (FA), a measure of white-matter integrity within prefrontal, temporal, and cingulate regions has been reported in schizophrenia but has been little studied in SPD. AIMS The study aim was to examine temporal and prefrontal white matter FA in 30 neuroleptic-naïve SPD patients and 35 matched healthy controls (HCs). We hypothesized that compared with HCs, SPD patients would exhibit lower FA in temporal lobe and anterior cingulum regions but relative sparing in prefrontal regions. METHOD We acquired diffusion tensor imaging (DTI) in all participants and examined FA in the white matter underlying Brodmann areas (BAs) in dorsolateral prefrontal (BAs 44, 45, and 46), temporal lobe (BAs 22, 21, and 20), and cingulum (BAs 25, 24, 31, 23, and 29) regions with a series of analyses using multivariate analysis of variance. RESULTS Compared with HCs, the SPD group had significantly lower FA in the left temporal lobe but not prefrontal regions. In the cingulum, FA was lower in the SPD group in the posterior regions (BAs 31 and 23), higher in the anterior (BA 25) regions and lower overall in the right but not the left cingulum. Among the SPD group, lower FA in the cingulum was associated with more severe negative symptoms (e.g., odd speech). CONCLUSIONS Similar to schizophrenia, our results indicate cingulum-temporal lobe FA abnormalities in SPD and suggest that cingulum abnormalities are associated with negative symptoms.
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Affiliation(s)
- Erin A Hazlett
- Mental Illness Research, Education and Clinical Center VISN 3, James J. Peters Veterans Affairs Medical Center, Bronx, NY 10468, USA.
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Dysconnectivity in schizophrenia: where are we now? Neurosci Biobehav Rev 2010; 35:1110-24. [PMID: 21115039 DOI: 10.1016/j.neubiorev.2010.11.004] [Citation(s) in RCA: 489] [Impact Index Per Article: 34.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/03/2010] [Revised: 11/02/2010] [Accepted: 11/20/2010] [Indexed: 01/14/2023]
Abstract
The disconnection hypothesis suggests that the core symptoms of schizophrenia (SZ) are related to aberrant, or 'dys-', connectivity between distinct brain regions. A proliferation of functional and structural neuroimaging studies have been conducted to investigate this hypothesis, across the full course of the disorder; from people at Ultra-High-Risk of developing psychosis to patients with chronic SZ. However the results of these studies have not always been consistent, and to date, there have been no attempts to summarise the results of both methodologies in conjunction. In this article, we systematically review both the structural and functional connectivity literature in SZ. The main trends to emerge are that schizophrenia is associated with connectivity reductions, as opposed to increases, relative to healthy controls, and that this is particularly evident in the connections involving the frontal lobe. These two trends appear to apply across all stages of the disorder, and to be independent of the neuroimaging methodology employed. We discuss the potential implications of these trends, and identify possible future investigative directions.
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Short-term meditation induces white matter changes in the anterior cingulate. Proc Natl Acad Sci U S A 2010; 107:15649-52. [PMID: 20713717 DOI: 10.1073/pnas.1011043107] [Citation(s) in RCA: 281] [Impact Index Per Article: 20.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/16/2023] Open
Abstract
The anterior cingulate cortex (ACC) is part of a network implicated in the development of self-regulation and whose connectivity changes dramatically in development. In previous studies we showed that 3 h of mental training, based on traditional Chinese medicine (integrative body-mind training, IBMT), increases ACC activity and improves self-regulation. However, it is not known whether changes in white matter connectivity can result from small amounts of mental training. We here report that 11 h of IBMT increases fractional anisotropy (FA), an index indicating the integrity and efficiency of white matter in the corona radiata, an important white-matter tract connecting the ACC to other structures. Thus IBMT could provide a means for improving self-regulation and perhaps reducing or preventing various mental disorders.
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Skudlarski P, Jagannathan K, Anderson K, Stevens MC, Calhoun VD, Skudlarska BA, Pearlson G. Brain connectivity is not only lower but different in schizophrenia: a combined anatomical and functional approach. Biol Psychiatry 2010; 68:61-9. [PMID: 20497901 PMCID: PMC2900394 DOI: 10.1016/j.biopsych.2010.03.035] [Citation(s) in RCA: 366] [Impact Index Per Article: 26.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/07/2009] [Revised: 03/19/2010] [Accepted: 03/28/2010] [Indexed: 12/25/2022]
Abstract
BACKGROUND Schizophrenia is hypothesized to involve disordered connectivity between brain regions. Currently, there are no direct measures of brain connectivity; functional and structural connectivity used separately provide only limited insight. Simultaneous measure of anatomical and functional connectivity and its interactions allow for better understanding of schizophrenia-related alternations in brain connectivity. METHODS Twenty-seven schizophrenia patients and 27 healthy control subjects underwent magnetic resonance imaging with resting state functional magnetic resonance imaging and diffusion tensor imaging. Separate functional and anatomical connectivity maps were calculated and combined for each subject. Global, regional, and voxel measures and K-means network analysis were employed to identify group differences and correlation with clinical symptoms. RESULTS A global connectivity analysis indicated that patients had lower anatomical connectivity and lower coherence between the two imaging modalities. In schizophrenia these group differences correlated with clinical symptom severity. Although anatomical connectivity nearly uniformly decreased, functional connectivity in schizophrenia was lower for some connections (e.g., middle temporal gyrus) and higher for others (e.g., cingulate and thalamus). Within the default mode network (DMN) two separate subsystems can be identified. Schizophrenia patients showed decoupling between structural and functional connectivity that can be localized to networks originating in posterior cingulate cortex as well as in the task-positive network and one of the DMN components. CONCLUSIONS Combining two measures of brain connectivity provides more comprehensive descriptions of altered brain connectivity underlying schizophrenia. Patients show deficits in white matter anatomy, but functional connectivity alterations are more complex. Fusion of both methods allows identification of subsystems showing both increased and decreased functional connectivity.
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Affiliation(s)
- Pawel Skudlarski
- Olin Neuropsychiatry Research Center, Institute of Living, Hartford Hospital, Hartford, Connecticut 06106, USA.
| | - Kanchana Jagannathan
- Olin Neuropsychiatry Research Center, Institute of Living, Hartford Hospital, Hartford, 06106 CT
| | - Karen Anderson
- Olin Neuropsychiatry Research Center, Institute of Living, Hartford Hospital, Hartford, 06106 CT
| | - Michael C. Stevens
- Olin Neuropsychiatry Research Center, Institute of Living, Hartford Hospital, Hartford, 06106 CT,Department of Psychiatry, Yale University School of Medicine, New Haven, 06510 CT
| | - Vince D. Calhoun
- Olin Neuropsychiatry Research Center, Institute of Living, Hartford Hospital, Hartford, 06106 CT,Department of Psychiatry, Yale University School of Medicine, New Haven, 06510 CT,The Mind Research Network, Albuquerque, 87131 NM,Department of Electrical and Computer Engineering, University of New Mexico, Albuquerque, 87131 NM
| | | | - Godfrey Pearlson
- Olin Neuropsychiatry Research Center, Institute of Living, Hartford Hospital, Hartford, 06106 CT,Department of Psychiatry, Yale University School of Medicine, New Haven, 06510 CT
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Cingulum bundle white matter in MAG-knockout mice. Transl Neurosci 2010. [DOI: 10.2478/v10134-010-0019-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022] Open
Abstract
AbstractMyelin associated glycoprotein (MAG) is an oligodendrocyte-derived gene whose expression is decreased in schizophrenia. Several measures of white matter integrity appear abnormal in schizophrenia, specifically in the anterior cingulate gyrus. We studied mice lacking MAG as a potential model of dysmyelination. Using the stereological “Space Balls” method, we estimated myelinated fiber length density in the cingulum bundle in adult knockout and control mice. We performed diffusion anisotropy imaging in these animals, measuring fractional anisotropy (FA) in a region of the cingulum bundle. We found no differences in cingulum myelinated fiber length density between the two groups, although we did note an age-related decrease regardless of genotype. No differences were noted in FA either, but an age-related decrease was seen as well. These findings imply that MAG dysfunction alone is not sufficient to cause the white matter alterations seen in schizophrenia.
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