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Chen X, Song X, Öngür D, Du F. Association of default-mode network neurotransmitters and inter-network functional connectivity in first episode psychosis. Neuropsychopharmacology 2023; 48:781-788. [PMID: 36788375 PMCID: PMC10066209 DOI: 10.1038/s41386-023-01546-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/25/2022] [Revised: 01/31/2023] [Accepted: 02/02/2023] [Indexed: 02/16/2023]
Abstract
Multiple psychiatric disorders are characterized by a failure to suppress default-mode network (DMN) activity during tasks and by weaker anti-correlations between DMN and other brain networks at rest. However, the cellular and molecular mechanisms underlying this phenomenon are poorly understood. At the cellular level, neuronal activity is regulated by multiple neurochemical processes including cycling of glutamate and GABA, the major excitatory and inhibitory neurotransmitters in brain. By combining functional MRI and magnetic resonance spectroscopy techniques, it has been shown that the neurotransmitter concentrations in DMN modulate not only functional activity during cognitive tasks, but also the functional connectivity between DMN and other brain networks such as frontoparietal executive control network (CN) at rest in the healthy brain. In the current study, we extend previous research to first episode psychosis (FEP) patients and their relatives. We detected higher glutamate (Glu) levels in the medial prefrontal cortex (MPFC) in FEP compared to healthy controls without a significant difference in GABA. We also observed a significantly lower functional anti-correlated connectivity between critical nodes within the DMN (MPFC) and CN (DLPFC) in FEP. Furthermore, the relationship between MPFC Glu and GABA concentrations and the functional anti-correlation that is seen in healthy people was absent in FEP patients. These findings imply that both the DMN Glu level and the interaction between DMN and CN are affected by the illness, as is the association between neurochemistry and functional connectivity. A better understanding of this observation could provide opportunities for developing novel treatment strategies for psychosis.
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Affiliation(s)
- Xi Chen
- Psychotic Disorders Division, McLean Hospital, Belmont, CA, 02478, USA
- McLean Imaging Center, McLean Hospital, Belmont, CA, 02478, USA
- Harvard Medical School, Boston, MA, 02115, USA
| | - Xiaopeng Song
- Psychotic Disorders Division, McLean Hospital, Belmont, CA, 02478, USA
- McLean Imaging Center, McLean Hospital, Belmont, CA, 02478, USA
- Harvard Medical School, Boston, MA, 02115, USA
- Wuhan Zhongke Industrial Research Institute of Medical Science, Wuhan, Hubei, 430075, China
| | - Dost Öngür
- Psychotic Disorders Division, McLean Hospital, Belmont, CA, 02478, USA.
- Harvard Medical School, Boston, MA, 02115, USA.
| | - Fei Du
- Psychotic Disorders Division, McLean Hospital, Belmont, CA, 02478, USA
- McLean Imaging Center, McLean Hospital, Belmont, CA, 02478, USA
- Harvard Medical School, Boston, MA, 02115, USA
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2
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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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Koevoets MGJC, Prikken M, Hagenaar DA, Kahn RS, van Haren NEM. The Association Between Emotion Recognition, Affective Empathy, and Structural Connectivity in Schizophrenia Patients. Front Psychiatry 2022; 13:910985. [PMID: 35782419 PMCID: PMC9240782 DOI: 10.3389/fpsyt.2022.910985] [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: 04/01/2022] [Accepted: 05/18/2022] [Indexed: 11/26/2022] Open
Abstract
INTRODUCTION Emotion processing deficits often occur in patients with schizophrenia. We investigate whether patients and controls differ in the association between facial emotion recognition and experience of affective empathy and whether performance on these emotion processing domains differently relates to white matter connectivity. MATERIALS AND METHODS Forty-seven patients with schizophrenia and 47 controls performed an emotion recognition and affective empathy task. T1-weighted and diffusion-tensor images (DTI) of the brain were acquired. Using Tracula 5.3, ten fibers were reconstructed and fractional anisotropy (FA), mean diffusivity (MD), axial diffusivity (AD), and radial diffusivity (RD) were extracted. Groups were compared on task performance, white matter measures and their interactions using ANCOVAs. Correction for multiple comparisons was applied. RESULTS Patients scored lower on emotion recognition (p = 0.037) and reported higher levels of affective empathy (p < 0.001) than controls. Patients with poor emotion recognition (PT-low) experienced stronger affective empathy than patients with similar emotion recognition performance as controls (PT-normal; p = 0.011), who in turn reported stronger affective empathy than controls (p = 0.043). We found a significant interaction between emotion recognition, affective empathy and anterior thalamic radiation AD (p = 0.017, d = 0.43). Post hoc analyses revealed that the correlation between AD and empathy differed significantly between all groups (empathy/AD in PT-low < empathy/AD in PT-normal < empathy/AD in controls). DISCUSSION In patients with poor emotion recognition, the negative association between anterior thalamic radiation AD and affective empathy was stronger than in patients with normal emotion recognition capacity. Possibly, axonal damage in fronto-thalamic structural connections, as part of a larger frontotemporal network, underlies the association between poor emotion recognition and higher levels of affective empathy in schizophrenia patients.
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Affiliation(s)
- Martijn G J C Koevoets
- Department of Psychiatry, University Medical Center Utrecht Brain Center, Utrecht University, Utrecht, Netherlands
| | - Merel Prikken
- Department of Psychiatry, University Medical Center Utrecht Brain Center, Utrecht University, Utrecht, Netherlands
| | - Doesjka A Hagenaar
- Department of Psychiatry, University Medical Center Utrecht Brain Center, Utrecht University, Utrecht, Netherlands.,Department of Child and Adolescent Psychiatry and Psychology, Erasmus Medical Center Sophia Children's Hospital, Rotterdam, Netherlands
| | - René S Kahn
- Department of Psychiatry, University Medical Center Utrecht Brain Center, Utrecht University, Utrecht, Netherlands.,Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, United States
| | - Neeltje E M van Haren
- Department of Psychiatry, University Medical Center Utrecht Brain Center, Utrecht University, Utrecht, Netherlands.,Department of Child and Adolescent Psychiatry and Psychology, Erasmus Medical Center Sophia Children's Hospital, Rotterdam, Netherlands
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McKenna F, Babb J, Miles L, Goff D, Lazar M. Reduced Microstructural Lateralization in Males with Chronic Schizophrenia: A Diffusional Kurtosis Imaging Study. Cereb Cortex 2021; 30:2281-2294. [PMID: 31819950 DOI: 10.1093/cercor/bhz239] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/20/2023] Open
Abstract
Decreased brain lateralization is considered a trait marker of schizophrenia. Whereas reductions in both functional and macrostructural gray matter laterality in schizophrenia are well established, the investigation of gray matter microstructural lateralization has so far been limited to a small number of ex vivo studies, which limits the understanding of neurobiological substrates involved and development of adequate treatments. The aim of the current study was to assess in vivo gray matter microstructure lateralization patterns in schizophrenia by employing the diffusion kurtosis imaging (DKI)-derived mean kurtosis (MK) metric. MK was calculated for 18 right-handed males with chronic schizophrenia and 19 age-matched healthy control participants in 46 bilateral gray matter regions of interest (ROI). Microstructural laterality indexes (μLIs) were calculated for each subject and ROI, and group comparisons were conducted across regions. The relationship between μLI values and performance on the Wisconsin Card Sorting Test (WCST) was also evaluated. We found that compared with healthy controls, males with chronic schizophrenia had significantly decreased μLI across cortical and subcortical gray matter regions, which was correlated with poorer performance on the WCST. Our results suggest the ability of DKI-derived MK to capture gray matter microstructural lateralization pathology in vivo.
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Affiliation(s)
- Faye McKenna
- Department of Radiology, Center for Biomedical Imaging, New York, NY 10016, USA.,Sackler Institute of Graduate Biomedical Sciences New York University School of Medicine, New York, NY 10016, USA
| | - James Babb
- Department of Radiology, Center for Biomedical Imaging, New York, NY 10016, USA
| | - Laura Miles
- Department of Radiology, Center for Biomedical Imaging, New York, NY 10016, USA
| | - Donald Goff
- Department of Psychiatry, New York University School of Medicine, New York, NY 10016, USA
| | - Mariana Lazar
- Department of Radiology, Center for Biomedical Imaging, New York, NY 10016, USA.,Sackler Institute of Graduate Biomedical Sciences New York University School of Medicine, New York, NY 10016, USA
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Global hypomyelination of the brain white and gray matter in schizophrenia: quantitative imaging using macromolecular proton fraction. Transl Psychiatry 2021; 11:365. [PMID: 34226491 PMCID: PMC8257619 DOI: 10.1038/s41398-021-01475-8] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/24/2020] [Revised: 05/08/2021] [Accepted: 05/17/2021] [Indexed: 02/06/2023] Open
Abstract
Myelin deficiency is commonly recognized as an important pathological feature of brain tissues in schizophrenia (SZ). In this pilot study, global myelin content abnormalities in white matter (WM) and gray matter (GM) of SZ patients were non-invasively investigated using a novel clinically-targeted quantitative myelin imaging technique, fast macromolecular proton fraction (MPF) mapping. MPF maps were obtained from 23 healthy subjects and 31 SZ patients using a clinical 1.5T magnetic resonance imaging (MRI) scanner. Mean MPF in WM and GM was compared between the healthy control subjects and SZ patients with positive and negative leading symptoms using the multivariate analysis of covariance. The SZ patients had significantly reduced MPF in GM (p < 0.001) and WM (p = 0.02) with the corresponding relative decrease of 5% and 3%, respectively. The effect sizes for the myelin content loss in SZ relative to the control group were 1.0 and 1.5 for WM and GM, respectively. The SZ patients with leading negative symptoms had significantly lower MPF in GM (p < 0.001) and WM (p = 0.003) as compared to the controls and showed a significant MPF decrease in WM (p = 0.03) relative to the patients with leading positive symptoms. MPF in WM significantly negatively correlated with the disease duration in SZ patients (Pearson's r = -0.51; p = 0.004). This study demonstrates that chronic SZ is characterized by global microscopic brain hypomyelination of both WM and GM, which is associated with the disease duration and negative symptoms. Myelin deficiency in SZ can be detected and quantified by the fast MPF mapping method.
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Song X, Chen X, Yuksel C, Yuan J, Pizzagalli DA, Forester B, Öngür D, Du F. Bioenergetics and abnormal functional connectivity in psychotic disorders. Mol Psychiatry 2021; 26:2483-2492. [PMID: 33398087 PMCID: PMC8254819 DOI: 10.1038/s41380-020-00993-z] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/09/2020] [Revised: 11/25/2020] [Accepted: 12/08/2020] [Indexed: 12/22/2022]
Abstract
Psychotic Disorders such as schizophrenia (SZ) and bipolar disorder (BD) are characterized by abnormal functional connectivity (FC) within neural networks such as the default mode network (DMN), as well as attenuated anticorrelation between DMN and task-positive networks (TPN). Bioenergetic processes are critical for synaptic connectivity and are also abnormal in psychotic disorders. We therefore examined the association between brain energy metabolism and FC in psychotic disorders. 31P magnetization transfer spectroscopy from medial prefrontal cortex (MPFC) and whole-brain fMRI data were collected from demographically matched groups of SZ, BD, and healthy control (HC) subjects. The creatine kinase (CK) reaction flux calculated from spectroscopy was used as an index of regional energy production rate. FC maps were generated with MPFC as the seed region. Compared to HC, SZ showed significantly lower CK flux, while both BD and SZ patients showed decreased anticorrelation between MPFC and TPN. CK flux was significantly correlated with FC between MPFC and other DMN nodes in HC. This positive correlation was reduced modestly in BD and strongly in SZ. CK flux was negatively correlated with the anticorrelation between MPFC and TPN in HC, but this relationship was not observed in BD or SZ. These results indicate that MPFC energy metabolism rates are associated with stronger FC within networks and stronger anticorrelation between networks in HC. However, this association is decreased in SZ and BD, where bioenergetic and FC abnormalities are evident. This pattern may suggest that impairment in energy production in psychotic disorders underlies the impaired neural connectivity.
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Affiliation(s)
- Xiaopeng Song
- Psychotic Disorders Division, McLean Hospital, 02478, USA,McLean Imaging Center, McLean Hospital, 02478, USA,Harvard Medical School, Boston, Massachusetts, 02115, USA,These authors contributed equally to this work
| | - Xi Chen
- Psychotic Disorders Division, McLean Hospital, 02478, USA,McLean Imaging Center, McLean Hospital, 02478, USA,Harvard Medical School, Boston, Massachusetts, 02115, USA,These authors contributed equally to this work
| | - Cagri Yuksel
- Psychotic Disorders Division, McLean Hospital, 02478, USA,Harvard Medical School, Boston, Massachusetts, 02115, USA
| | - Junliang Yuan
- McLean Imaging Center, McLean Hospital, 02478, USA,National Clinical Research Center for Mental Disorders, Peking University Sixth Hospital, Beijing 100191, China
| | - Diego A. Pizzagalli
- McLean Imaging Center, McLean Hospital, 02478, USA,Harvard Medical School, Boston, Massachusetts, 02115, USA,Center for Depression, Anxiety and Stress Research, McLean Hospital, 02478, USA
| | - Brent Forester
- Harvard Medical School, Boston, Massachusetts, 02115, USA,Division of Geriatric Psychiatry, McLean Hospital, 02478, USA
| | - Dost Öngür
- Psychotic Disorders Division, McLean Hospital, 02478, USA,McLean Imaging Center, McLean Hospital, 02478, USA,Harvard Medical School, Boston, Massachusetts, 02115, USA
| | - Fei Du
- Psychotic Disorders Division, McLean Hospital, Belmont, MA, 02478, USA. .,McLean Imaging Center, McLean Hospital, Belmont, MA, 02478, USA. .,Harvard Medical School, Boston, MA, 02115, USA.
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8
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Page NF, Gandal MJ, Estes ML, Cameron S, Buth J, Parhami S, Ramaswami G, Murray K, Amaral DG, Van de Water JA, Schumann CM, Carter CS, Bauman MD, McAllister AK, Geschwind DH. Alterations in Retrotransposition, Synaptic Connectivity, and Myelination Implicated by Transcriptomic Changes Following Maternal Immune Activation in Nonhuman Primates. Biol Psychiatry 2021; 89:896-910. [PMID: 33386132 PMCID: PMC8052273 DOI: 10.1016/j.biopsych.2020.10.016] [Citation(s) in RCA: 21] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/20/2020] [Revised: 10/07/2020] [Accepted: 10/09/2020] [Indexed: 12/17/2022]
Abstract
BACKGROUND Maternal immune activation (MIA) is a proposed risk factor for multiple neuropsychiatric disorders, including schizophrenia. However, the molecular mechanisms through which MIA imparts risk remain poorly understood. A recently developed nonhuman primate model of exposure to the viral mimic poly:ICLC during pregnancy shows abnormal social and repetitive behaviors and elevated striatal dopamine, a molecular hallmark of human psychosis, providing an unprecedented opportunity for studying underlying molecular correlates. METHODS We performed RNA sequencing across psychiatrically relevant brain regions (prefrontal cortex, anterior cingulate, hippocampus) and primary visual cortex for comparison from 3.5- to 4-year-old male MIA-exposed and control offspring-an age comparable to mid adolescence in humans. RESULTS We identify 266 unique genes differentially expressed in at least one brain region, with the greatest number observed in hippocampus. Co-expression networks identified region-specific alterations in synaptic signaling and oligodendrocytes. Although we observed temporal and regional differences, transcriptomic changes were shared across first- and second-trimester exposures, including for the top differentially expressed genes-PIWIL2 and MGARP. In addition to PIWIL2, several other regulators of retrotransposition and endogenous transposable elements were dysregulated following MIA, potentially connecting MIA to retrotransposition. CONCLUSIONS Together, these results begin to elucidate the brain-level molecular processes through which MIA may impart risk for psychiatric disease.
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Affiliation(s)
- Nicholas F Page
- Department of Psychiatry, Center for Autism Research and Treatment, Los Angeles, California; Department of Cell Biology and Neuroscience, Rutgers University-New Brunswick, Piscataway, New Jersey
| | - Michael J Gandal
- Department of Psychiatry, Center for Autism Research and Treatment, Los Angeles, California
| | - Myka L Estes
- Center for Neuroscience, School of Medicine, University of California, Davis, Davis, California
| | - Scott Cameron
- Center for Neuroscience, School of Medicine, University of California, Davis, Davis, California
| | - Jessie Buth
- Department of Psychiatry, Center for Autism Research and Treatment, Los Angeles, California; Program in Neurobehavioral Genetics, Center for Autism Research and Treatment, Los Angeles, California
| | - Sepideh Parhami
- Department of Psychiatry, Center for Autism Research and Treatment, Los Angeles, California; Program in Neurobehavioral Genetics, Center for Autism Research and Treatment, Los Angeles, California
| | - Gokul Ramaswami
- Department of Psychiatry, Center for Autism Research and Treatment, Los Angeles, California; Program in Neurobehavioral Genetics, Center for Autism Research and Treatment, Los Angeles, California
| | - Karl Murray
- Department of Psychiatry and Behavioral Sciences, School of Medicine, University of California, Davis, Davis, California
| | - David G Amaral
- Department of Psychiatry and Behavioral Sciences, School of Medicine, University of California, Davis, Davis, California
| | - Judy A Van de Water
- Department of Psychiatry and Behavioral Sciences, School of Medicine, University of California, Davis, Davis, California
| | - Cynthia M Schumann
- Department of Psychiatry and Behavioral Sciences, School of Medicine, University of California, Davis, Davis, California
| | - Cameron S Carter
- Center for Neuroscience, School of Medicine, University of California, Davis, Davis, California; Department of Psychiatry and Behavioral Sciences, School of Medicine, University of California, Davis, Davis, California
| | - Melissa D Bauman
- Department of Psychiatry and Behavioral Sciences, School of Medicine, University of California, Davis, Davis, California
| | - A Kimberley McAllister
- Center for Neuroscience, School of Medicine, University of California, Davis, Davis, California; Department of Psychiatry and Behavioral Sciences, School of Medicine, University of California, Davis, Davis, California
| | - Daniel H Geschwind
- Department of Psychiatry, Center for Autism Research and Treatment, Los Angeles, California; Program in Neurobehavioral Genetics, Center for Autism Research and Treatment, Los Angeles, California; Department of Neurology, Center for Autism Research and Treatment, Los Angeles, California; Department of Human Genetics, Semel Institute, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, California.
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9
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Yoshikawa H, Kitamura S, Matsuoka K, Takahashi M, Ishida R, Kishimoto N, Yasuno F, Yasuda Y, Hashimoto R, Miyasaka T, Kichikawa K, Kishimoto T, Makinodan M. Adverse Childhood Experience Is Associated With Disrupted White Matter Integrity in Autism Spectrum Disorder: A Diffusion Tensor Imaging Study. Front Psychiatry 2021; 12:823260. [PMID: 35046859 PMCID: PMC8761790 DOI: 10.3389/fpsyt.2021.823260] [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: 11/27/2021] [Accepted: 12/08/2021] [Indexed: 11/13/2022] Open
Abstract
Individuals with autism spectrum disorder (ASD) have an increased risk of adverse childhood experiences (ACEs) than typically developed (TD) children. Since multiple lines of studies have suggested that ACEs are related to myelination in the frontal lobe, an exposure to ACEs can be associated with white matter microstructural disruption in the frontal lobe, which may be implicated in subsequential psychological deficits after the adulthood. In this study, we investigated the relationship between ACEs and microstructural integrity on frontal lobe-related white matter tracts using diffusion tensor imaging in 63 individuals with ASD and 38 TD participants. Using a tractography-based analysis, we delineated the uncinate fasciculus (UF), dorsal cingulum (Ci), and anterior thalamic radiation (ATR), which are involved in the neural pathology of ASD, and estimated each diffusion parameter. Compared to the TD participants, individuals with ASD displayed significantly lower fractional anisotropy (FA) and higher radial diffusivity (RD) in the left ATR. Then, ASD individuals exposed to severe ACEs displayed higher RD than those exposed to mild ACEs and TD participants in the left ATR. Moreover, the severity of ACEs, particularly neglect, correlated with lower FA and higher RD in the left UF and ATR in individuals with ASD, which was not observed in TD participants. These results suggest that an exposure to ACEs is associated with abnormality in the frontal lobe-related white matter in ASD.
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Affiliation(s)
- Hiroaki Yoshikawa
- Department of Psychiatry, School of Medicine, Nara Medical University, Kashihara, Japan
| | - Soichiro Kitamura
- Department of Psychiatry, School of Medicine, Nara Medical University, Kashihara, Japan.,Department of Functional Brain Imaging, Institute for Quantum Medical Science, National Institutes for Quantum Science and Technology, Chiba, Japan
| | - Kiwamu Matsuoka
- Department of Psychiatry, School of Medicine, Nara Medical University, Kashihara, Japan.,Department of Functional Brain Imaging, Institute for Quantum Medical Science, National Institutes for Quantum Science and Technology, Chiba, Japan
| | - Masato Takahashi
- Department of Psychiatry, School of Medicine, Nara Medical University, Kashihara, Japan
| | - Rio Ishida
- Department of Psychiatry, School of Medicine, Nara Medical University, Kashihara, Japan
| | - Naoko Kishimoto
- Department of Psychiatry, School of Medicine, Nara Medical University, Kashihara, Japan
| | - Fumihiko Yasuno
- Department of Psychiatry, School of Medicine, Nara Medical University, Kashihara, Japan.,Department of Psychiatry, National Center for Geriatrics and Gerontology, Obu, Japan
| | - Yuka Yasuda
- Department of Pathology of Mental Diseases, National Institute of Mental Health, National Center of Neurology and Psychiatry, Tokyo, Japan.,Medical Cooperation Foster, Osaka, Japan
| | - Ryota Hashimoto
- Department of Pathology of Mental Diseases, National Institute of Mental Health, National Center of Neurology and Psychiatry, Tokyo, Japan
| | | | | | - Toshifumi Kishimoto
- Department of Psychiatry, School of Medicine, Nara Medical University, Kashihara, Japan
| | - Manabu Makinodan
- Department of Psychiatry, School of Medicine, Nara Medical University, Kashihara, Japan
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10
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Abnormalities of effective connectivity and white matter microstructure in the triple network in patients with schizophrenia. Psychiatry Res 2020; 290:113019. [PMID: 32474067 DOI: 10.1016/j.psychres.2020.113019] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/17/2019] [Revised: 04/13/2020] [Accepted: 04/14/2020] [Indexed: 11/23/2022]
Abstract
Disorganized communication among large-scale brain networks, especially in the salience network, default mode network and central executive network, have been consistently reported in schizophrenia (SZ) patients. However, abnormal patterns of the effective connectivity and abnormalities in the white matter of these networks remains unclear in patients with SZ. Fifty-six SZ patients and fifty-five healthy controls were enrolled in the present study and underwent resting state functional magnetic resonance and diffusion tensor imaging. Twelve main nodes within the triple networks were defined by independent components analysis. Effective connectivity between these main nodes was computed using Granger causality analysis. Voxel-based analysis of the diffusion tensor imaging data was conducted to explore white matter changes. The SZ patients showed abnormal effective connectivity between the anterior cingulate cortex and the dorsolateral prefrontal cortex. The abnormal white matter showed decreased fractional anisotropy localized in the bilateral anterior corona radiate and left superior long fasciculus in patients with SZ. These findings shed light on the importance of the triple network in the pathogenesis of SZ, which may facilitate the understanding of SZ.
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11
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Haigh SM, Eack SM, Keller T, Minshew NJ, Behrmann M. White matter structure in schizophrenia and autism: Abnormal diffusion across the brain in schizophrenia. Neuropsychologia 2019; 135:107233. [PMID: 31655160 PMCID: PMC6884694 DOI: 10.1016/j.neuropsychologia.2019.107233] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/30/2019] [Revised: 10/14/2019] [Accepted: 10/14/2019] [Indexed: 01/23/2023]
Abstract
BACKGROUND Schizophrenia and autism share many behavioral and neurological similarities, including altered white matter tract structure. However, because schizophrenia and autism are rarely compared directly, it is difficult to establish whether white matter abnormalities are disorder-specific or are common across these disorders that share some symptomatology. METHODS In the current study, we compared white matter water diffusion using tensor imaging in 25 adults with autism, 15 adults with schizophrenia, all with IQ scores above 88, and 19 neurotypical adults. RESULTS Although the three groups evinced no statistically significant differences in measures of fractional anisotropy (FA), the schizophrenia group showed significantly greater mean diffusivity (MD; Cohen's d > 0.77), due to greater radial diffusivity (RD; Cohen's d > 0.92), compared to both the autism and control groups. This effect was evident across the brain rather than specific to a particular tract. CONCLUSIONS The greater MD and RD in schizophrenia appears to be diagnosis-specific. The altered diffusion may reflect subtle abnormalities in myelination, which could be a potential mechanism underlying the widespread behavioral deficits associated with schizophrenia.
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Affiliation(s)
- Sarah M Haigh
- Department of Psychology, Carnegie Mellon University, USA; Center for the Neural Basis of Cognition, Carnegie Mellon University, USA; Department of Psychology and Center for Integrative Neuroscience, University of Nevada, Reno, USA.
| | - Shaun M Eack
- Department of Psychiatry, University of Pittsburgh School of Medicine, USA; School of Social Work, University of Pittsburgh, USA
| | - Timothy Keller
- Department of Psychology, Carnegie Mellon University, USA
| | - Nancy J Minshew
- Department of Psychiatry, University of Pittsburgh School of Medicine, USA; Department of Neurology, University of Pittsburgh, USA
| | - Marlene Behrmann
- Department of Psychology, Carnegie Mellon University, USA; Center for the Neural Basis of Cognition, Carnegie Mellon University, USA
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12
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Michielse S, Lange I, Bakker J, Goossens L, Verhagen S, Wichers M, Lieverse R, Schruers K, van Amelsvoort T, van Os J, Marcelis M. White matter microstructure and network-connectivity in emerging adults with subclinical psychotic experiences. Brain Imaging Behav 2019; 14:1876-1888. [PMID: 31183775 PMCID: PMC7572337 DOI: 10.1007/s11682-019-00129-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/01/2022]
Abstract
Group comparisons of individuals with psychotic disorder and controls have shown alterations in white matter microstructure. Whether white matter microstructure and network connectivity is altered in adolescents with subclinical psychotic experiences (PE) at the lowest end of the psychosis severity spectrum is less clear. DWI scan were acquired in 48 individuals with PE and 43 healthy controls (HC). Traditional tensor-derived indices: Fractional Anisotropy, Axial Diffusivity, Mean Diffusivity and Radial Diffusivity, as well as network connectivity measures (global/local efficiency and clustering coefficient) were compared between the groups. Subclinical psychopathology was assessed with the Community Assessment of Psychic Experiences (CAPE) and Montgomery-Åsberg Depression Rating Scale (MADRS) questionnaires and, in order to capture momentary subclinical expression of psychosis, the Experience Sampling Method (ESM) questionnaires. Within the PE-group, interactions between subclinical (momentary) symptoms and brain regions in the model of tensor-derived indices and network connectivity measures were investigated in a hypothesis-generating fashion. Whole brain analyses showed no group differences in tensor-derived indices and network connectivity measures. In the PE-group, a higher positive symptom distress score was associated with both higher local efficiency and clustering coefficient in the right middle temporal pole. The findings indicate absence of microstructural white matter differences between emerging adults with subclinical PE and controls. In the PE-group, attenuated symptoms were positively associated with network efficiency/cohesion, which requires replication and may indicate network alterations in emerging mild psychopathology.
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Affiliation(s)
- Stijn Michielse
- Department of Psychiatry and Neuropsychology, School of Mental Health and Neuroscience, EURON, Maastricht University Medical Centre, PO Box 616, 6200, MD, Maastricht, the Netherlands.
| | - Iris Lange
- Department of Psychiatry and Neuropsychology, School of Mental Health and Neuroscience, EURON, Maastricht University Medical Centre, PO Box 616, 6200, MD, Maastricht, the Netherlands
| | - Jindra Bakker
- Department of Psychiatry and Neuropsychology, School of Mental Health and Neuroscience, EURON, Maastricht University Medical Centre, PO Box 616, 6200, MD, Maastricht, the Netherlands.,Department of Neuroscience, Center for Contextual Psychiatry, KU Leuven, Leuven, Belgium
| | - Liesbet Goossens
- Department of Psychiatry and Neuropsychology, School of Mental Health and Neuroscience, EURON, Maastricht University Medical Centre, PO Box 616, 6200, MD, Maastricht, the Netherlands
| | - Simone Verhagen
- Department of Psychiatry and Neuropsychology, School of Mental Health and Neuroscience, EURON, Maastricht University Medical Centre, PO Box 616, 6200, MD, Maastricht, the Netherlands
| | - Marieke Wichers
- University Medical Center Groningen, Department of Psychiatry, Interdisciplinary Center Psychopathology and Emotion Regulation (ICPE), University of Groningen, Groningen, The Netherlands
| | - Ritsaert Lieverse
- Department of Psychiatry and Neuropsychology, School of Mental Health and Neuroscience, EURON, Maastricht University Medical Centre, PO Box 616, 6200, MD, Maastricht, the Netherlands
| | - Koen Schruers
- Department of Psychiatry and Neuropsychology, School of Mental Health and Neuroscience, EURON, Maastricht University Medical Centre, PO Box 616, 6200, MD, Maastricht, the Netherlands.,Faculty of Psychology, Center for Experimental and Learning Psychology, University of Leuven, Leuven, Belgium
| | - Therese van Amelsvoort
- Department of Psychiatry and Neuropsychology, School of Mental Health and Neuroscience, EURON, Maastricht University Medical Centre, PO Box 616, 6200, MD, Maastricht, the Netherlands
| | - Jim van Os
- Department of Psychiatry and Neuropsychology, School of Mental Health and Neuroscience, EURON, Maastricht University Medical Centre, PO Box 616, 6200, MD, Maastricht, the Netherlands.,King's Health Partners, Department of Psychosis Studies, Institute of Psychiatry, King's College London, London, England.,Department of Psychiatry, Brain Center Rudolf Magnus, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Machteld Marcelis
- Department of Psychiatry and Neuropsychology, School of Mental Health and Neuroscience, EURON, Maastricht University Medical Centre, PO Box 616, 6200, MD, Maastricht, the Netherlands.,Institute for Mental Health Care Eindhoven (GGzE), Eindhoven, the Netherlands
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13
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Widespread white-matter microstructure integrity reduction in first-episode schizophrenia patients after acute antipsychotic treatment. Schizophr Res 2019; 204:238-244. [PMID: 30177343 DOI: 10.1016/j.schres.2018.08.021] [Citation(s) in RCA: 30] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/31/2018] [Revised: 07/21/2018] [Accepted: 08/13/2018] [Indexed: 02/05/2023]
Abstract
Potential effects of initiating acute antipsychotic treatment on white matter (WM) microstructure in schizophrenia patients remain poorly characterized. Thirty-five drug-naïve first-episode schizophrenia patients were scanned before and after six weeks of treatment with second-generation antipsychotic medications. Nineteen demographically matched healthy subjects were scanned twice over the same time interval. Tract-based spatial statistics was used to test for changes in WM microstructural integrity after treatment. Widespread fractional anisotropy (FA) decrease was found in patients after antipsychotic treatment in bilateral posterior corona radiata, anterior corona radiata, superior corona radiata and posterior thalamic radiation, left posterior limb of the internal capsule, and mid-body of the corpus callosum. These effects appeared to result primarily from decreased axial diffusivity. These findings suggest an effect on brain white matter from acute antipsychotic therapy in schizophrenia.
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Keymer-Gausset A, Alonso-Solís A, Corripio I, Sauras-Quetcuti RB, Pomarol-Clotet E, Canales-Rodriguez EJ, Grasa-Bello E, Álvarez E, Portella MJ. Gray and white matter changes and their relation to illness trajectory in first episode psychosis. Eur Neuropsychopharmacol 2018; 28:392-400. [PMID: 29338891 DOI: 10.1016/j.euroneuro.2017.12.117] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/30/2017] [Revised: 12/22/2017] [Accepted: 12/27/2017] [Indexed: 11/29/2022]
Abstract
Previous works have studied structural brain characteristics in first-episode psychosis (FEP), but few have focused on the relation between brain differences and illness trajectories. The aim of this study is to analyze gray and white matter changes in FEP patients and their relation with one-year clinical outcomes. A sample of 41 FEP patients and 41 healthy controls (HC), matched by age and educational level was scanned with a 3T MRI during the first month of illness onset. One year later, patients were assigned to two illness trajectories (schizophrenia and non-schizophrenia). Voxel-based morphometry (VBM) was used for gray matter and Tract-based spatial statistics (TBSS) was used for white matter data analysis. VBM revealed significant and widespread bilateral gray matter density differences between FEP and HC groups in areas that included the right insular Cortex, the inferior frontal gyrus and orbito-frontal cortices, and segments of the occipital cortex. TBSS showed a significant lower fractional anisotropy (FA) in 8 clusters that included segments of the anterior thalamic radiation, the left body and forceps minor of corpus callosum, the right anterior segment of the inferior fronto-occipital fasciculus and the anterior segments of the cingulum. The sub-groups comparison revealed significant lower FA in the schizophrenia sub-group in two clusters: the anterior thalamic radiation and the anterior segment of left cingulum. These findings are coherent with previous morphology studies. The results suggest that gray and white matter abnormalities are present at early stages of the disease, and white matter differences may distinguish different illness prognosis.
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Affiliation(s)
- Alejandro Keymer-Gausset
- Department of Psychiatry, Hospital de la Santa Creu i Sant Pau, Spain; Institut d'Investigació Biomèdica Sant Pau (IIB Sant Pau), Spain
| | - Anna Alonso-Solís
- Institut d'Investigació Biomèdica Sant Pau (IIB Sant Pau), Spain; Centro de Investigación Biomèdica en Red de Salud Mental (CIBERSAM), Barcelona, Catalonia, Spain
| | - Iluminada Corripio
- Department of Psychiatry, Hospital de la Santa Creu i Sant Pau, Spain; Institut d'Investigació Biomèdica Sant Pau (IIB Sant Pau), Spain; Centro de Investigación Biomèdica en Red de Salud Mental (CIBERSAM), Barcelona, Catalonia, Spain.
| | | | - Edith Pomarol-Clotet
- Benito Menni Complex Assistencial en Salut Mental, Barcelona 08830, Spain; Centro de Investigación Biomèdica en Red de Salud Mental (CIBERSAM), Barcelona, Catalonia, Spain
| | - Erick J Canales-Rodriguez
- Benito Menni Complex Assistencial en Salut Mental, Barcelona 08830, Spain; Centro de Investigación Biomèdica en Red de Salud Mental (CIBERSAM), Barcelona, Catalonia, Spain
| | - Eva Grasa-Bello
- Department of Psychiatry, Hospital de la Santa Creu i Sant Pau, Spain; Centro de Investigación Biomèdica en Red de Salud Mental (CIBERSAM), Barcelona, Catalonia, Spain
| | - Enric Álvarez
- Department of Psychiatry, Hospital de la Santa Creu i Sant Pau, Spain; Institut d'Investigació Biomèdica Sant Pau (IIB Sant Pau), Spain; Centro de Investigación Biomèdica en Red de Salud Mental (CIBERSAM), Barcelona, Catalonia, Spain; Universitat Autònoma de Barcelona (UAB), Spain
| | - Maria J Portella
- Department of Psychiatry, Hospital de la Santa Creu i Sant Pau, Spain; Institut d'Investigació Biomèdica Sant Pau (IIB Sant Pau), Spain; Centro de Investigación Biomèdica en Red de Salud Mental (CIBERSAM), Barcelona, Catalonia, Spain; Universitat Autònoma de Barcelona (UAB), Spain
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15
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Joo SW, Chon MW, Rathi Y, Shenton ME, Kubicki M, Lee J. Abnormal asymmetry of white matter tracts between ventral posterior cingulate cortex and middle temporal gyrus in recent-onset schizophrenia. Schizophr Res 2018; 192:159-166. [PMID: 28506703 DOI: 10.1016/j.schres.2017.05.008] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/18/2017] [Revised: 05/04/2017] [Accepted: 05/07/2017] [Indexed: 01/10/2023]
Abstract
INTRODUCTION Previous studies have reported abnormalities in the ventral posterior cingulate cortex (vPCC) and middle temporal gyrus (MTG) in schizophrenia patients. However, it remains unclear whether the white matter tracts connecting these structures are impaired in schizophrenia. Our study investigated the integrity of these white matter tracts (vPCC-MTG tract) and their asymmetry (left versus right side) in patients with recent onset schizophrenia. METHOD Forty-seven patients and 24 age-and sex-matched healthy controls were enrolled in this study. We extracted left and right vPCC-MTG tract on each side from T1W and diffusion MRI (dMRI) at 3T. We then calculated the asymmetry index of diffusion measures of vPCC-MTG tracts as well as volume and thickness of vPCC and MTG using the formula: 2×(right-left)/(right+left). We compared asymmetry indices between patients and controls and evaluated their correlations with the severity of psychiatric symptoms and cognition in patients using the Positive and Negative Syndrome Scale (PANSS), video-based social cognition scale (VISC) and the Wechsler Adult Intelligence Scale (WAIS-III). RESULTS Asymmetry of fractional anisotropy (FA) and radial diffusivity (RD) in the vPCC-MTG tract, while present in healthy controls, was not evident in schizophrenia patients. Also, we observed that patients, not healthy controls, had a significant FA decrease and RD increase in the left vPCC-MTG tract. There was no significant association between the asymmetry indices of dMRI measures and IQ, VISC, or PANSS scores in schizophrenia. CONCLUSION Disruption of asymmetry of the vPCC-MTG tract in schizophrenia may contribute to the pathophysiology of schizophrenia.
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Affiliation(s)
- Sung Woo Joo
- Department of Psychiatry, University of Ulsan College of Medicine, Asan Medical Center, Seoul, Republic of Korea
| | - Myong-Wuk Chon
- Department of Psychiatry, University of Ulsan College of Medicine, Asan Medical Center, Seoul, Republic of Korea
| | - Yogesh Rathi
- Psychiatry Neuroimaging Laboratory, Department of Psychiatry, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Martha E Shenton
- Psychiatry Neuroimaging Laboratory, Department of Psychiatry, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA; VA Boston Healthcare System, Brockton Division, Brockton, MA, USA; Department of Radiology, 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; Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Jungsun Lee
- Department of Psychiatry, University of Ulsan College of Medicine, Asan Medical Center, Seoul, Republic of Korea; Psychiatry Neuroimaging Laboratory, Department of Psychiatry, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.
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16
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Oestreich LKL, Lyall AE, Pasternak O, Kikinis Z, Newell DT, Savadjiev P, Bouix S, Shenton ME, Kubicki M, Whitford TJ, McCarthy-Jones S. Characterizing white matter changes in chronic schizophrenia: A free-water imaging multi-site study. Schizophr Res 2017; 189:153-161. [PMID: 28190639 PMCID: PMC5552442 DOI: 10.1016/j.schres.2017.02.006] [Citation(s) in RCA: 44] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/15/2016] [Revised: 02/01/2017] [Accepted: 02/03/2017] [Indexed: 12/20/2022]
Abstract
Diffusion tensor imaging (DTI) studies in chronic schizophrenia have found widespread but often inconsistent patterns of white matter abnormalities. These studies have typically used the conventional measure of fractional anisotropy, which can be contaminated by extracellular free-water. A recent free-water imaging study reported reduced free-water corrected fractional anisotropy (FAT) in chronic schizophrenia across several brain regions, but limited changes in the extracellular volume. The present study set out to validate these findings in a substantially larger sample. Tract-based spatial statistics (TBSS) was performed in 188 healthy controls and 281 chronic schizophrenia patients. Forty-two regions of interest (ROIs), as well as average whole-brain FAT and FW were extracted from free-water corrected diffusion tensor maps. Compared to healthy controls, reduced FAT was found in the chronic schizophrenia group in the anterior limb of the internal capsule bilaterally, the posterior thalamic radiation bilaterally, as well as the genu and body of the corpus callosum. While a significant main effect of group was observed for FW, none of the follow-up contrasts survived correction for multiple comparisons. The observed FAT reductions in the absence of extracellular FW changes, in a large, multi-site sample of chronic schizophrenia patients, validate the pattern of findings reported by a previous, smaller free-water imaging study of a similar sample. The limited number of regions in which FAT was reduced in the schizophrenia group suggests that actual white matter tissue degeneration in chronic schizophrenia, independent of extracellular FW, might be more localized than suggested previously.
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Affiliation(s)
- Lena K L Oestreich
- Queensland Brain Institute, Centre for Advanced Imaging, The University of Queensland, Brisbane, QLD, Australia.
| | - Amanda E Lyall
- Department of Psychiatry, Psychiatry Neuroimaging Laboratory, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Ofer Pasternak
- Department of Psychiatry, Psychiatry Neuroimaging Laboratory, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA; Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Zora Kikinis
- Department of Psychiatry, Psychiatry Neuroimaging Laboratory, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Dominick T Newell
- Department of Psychiatry, Psychiatry Neuroimaging Laboratory, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Peter Savadjiev
- Department of Psychiatry, Psychiatry Neuroimaging Laboratory, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA; Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Sylvain Bouix
- Department of Psychiatry, Psychiatry Neuroimaging Laboratory, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA; Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Martha E Shenton
- Department of Psychiatry, Psychiatry Neuroimaging Laboratory, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA; Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA; VA Boston Healthcare System, Boston, MA, USA
| | - Marek Kubicki
- Department of Psychiatry, Psychiatry Neuroimaging Laboratory, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA; Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | | | - Simon McCarthy-Jones
- Department of Cognitive Science, Macquarie University, NSW, Australia; Department of Psychiatry, Trinity College Dublin, Ireland
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Chen YJ, Liu CM, Hsu YC, Lo YC, Hwang TJ, Hwu HG, Lin YT, Tseng WYI. Individualized prediction of schizophrenia based on the whole-brain pattern of altered white matter tract integrity. Hum Brain Mapp 2017; 39:575-587. [PMID: 29080229 DOI: 10.1002/hbm.23867] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/12/2017] [Revised: 10/08/2017] [Accepted: 10/17/2017] [Indexed: 12/12/2022] Open
Abstract
BACKGROUND A schizophrenia diagnosis relies on characteristic symptoms identified by trained physicians, and is thus prone to subjectivity. This study developed a procedure for the individualized prediction of schizophrenia based on whole-brain patterns of altered white matter tract integrity. METHODS The study comprised training (108 patients and 144 controls) and testing (60 patients and 60 controls) groups. Male and female participants were comparable in each group and were analyzed separately. All participants underwent diffusion spectrum imaging of the head, and the data were analyzed using the tract-based automatic analysis method to generate a standardized two-dimensional array of white matter tract integrity, called the connectogram. Unique patterns in the connectogram that most accurately identified schizophrenia were systematically reviewed in the training group. Then, the diagnostic performance of the patterns was individually verified in the testing group by using receiver-operating characteristic curve analysis. RESULTS The performance was high in men (accuracy = 0.85) and satisfactory in women (accuracy = 0.75). In men, the pattern was located in discrete fiber tracts, as has been consistently reported in the literature; by contrast, the pattern was widespread over all tracts in women. These distinct patterns suggest that there is a higher variability in the microstructural alterations in female patients than in male patients. CONCLUSIONS The individualized prediction of schizophrenia is feasible based on the different whole-brain patterns of tract integrity. The optimal masks and their corresponding regions in the fiber tracts could serve as potential imaging biomarkers for schizophrenia. Hum Brain Mapp 39:575-587, 2018. © 2017 Wiley Periodicals, Inc.
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Affiliation(s)
- Yu-Jen Chen
- Institute of Medical Device and Imaging, National Taiwan University College of Medicine, Taipei, Taiwan
| | - Chih-Min Liu
- Department of Psychiatry, National Taiwan University Hospital and National Taiwan University College of Medicine, Taipei, Taiwan.,Graduate Institute of Brain and Mind Sciences, National Taiwan University College of Medicine, Taipei, Taiwan
| | - Yung-Chin Hsu
- Institute of Medical Device and Imaging, National Taiwan University College of Medicine, Taipei, Taiwan
| | - Yu-Chun Lo
- Institute of Medical Device and Imaging, National Taiwan University College of Medicine, Taipei, Taiwan.,Institute for Neural Regenerative Medicine, Taipei Medical University, Taipei, Taiwan
| | - Tzung-Jeng Hwang
- Department of Psychiatry, National Taiwan University Hospital and National Taiwan University College of Medicine, Taipei, Taiwan.,Graduate Institute of Brain and Mind Sciences, National Taiwan University College of Medicine, Taipei, Taiwan
| | - Hai-Gwo Hwu
- Department of Psychiatry, National Taiwan University Hospital and National Taiwan University College of Medicine, Taipei, Taiwan.,Graduate Institute of Brain and Mind Sciences, National Taiwan University College of Medicine, Taipei, Taiwan
| | - Yi-Tin Lin
- Department of Psychiatry, National Taiwan University Hospital and National Taiwan University College of Medicine, Taipei, Taiwan
| | - Wen-Yih Isaac Tseng
- Institute of Medical Device and Imaging, National Taiwan University College of Medicine, Taipei, Taiwan.,Graduate Institute of Brain and Mind Sciences, National Taiwan University College of Medicine, Taipei, Taiwan.,Molecular Imaging Center, National Taiwan University, Taipei, Taiwan.,Department of Medical Imaging, National Taiwan University Hospital, Taipei, Taiwan
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18
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Michielse S, Gronenschild E, Domen P, van Os J, Marcelis M. The details of structural disconnectivity in psychotic disorder: A family-based study of non-FA diffusion weighted imaging measures. Brain Res 2017; 1671:121-130. [PMID: 28709907 DOI: 10.1016/j.brainres.2017.07.002] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/10/2017] [Revised: 05/01/2017] [Accepted: 07/04/2017] [Indexed: 12/22/2022]
Abstract
BACKGROUND Diffusion tensor imaging (DTI) studies in psychotic disorder have shown reduced FA, often interpreted as disturbed white matter integrity. The observed 'dysintegrity' may be of multifactorial origin, as changes in FA are thought to reflect a combination of changes in myelination, fiber organization and number of axons. Examining the structural substrate of the diffusion tensor in individuals with (risk for) psychotic disorder may provide better understanding of the underlying structural changes. METHODS DTI scans were acquired from 85 patients with psychotic disorder, 93 siblings of patients with psychotic disorder and 80 controls. Cross-sectional group comparisons were performed using Tract-Based Spatial Statistics (TBSS) on six DTI measures: axial diffusivity (AXD), radial diffusivity (RD), mean diffusivity (MD), and the case linear (CL), case planar (CP) and case spherical (CS) tensor shape measures. RESULTS AXD did not differ between the groups. RD and CS values were significantly increased in patients compared to controls and siblings, with no significant differences between the latter two groups. MD was higher in patients compared to controls (but not siblings), with no difference between siblings and controls. CL was smaller in patients than in siblings and controls, and CP was smaller in both patients and siblings as compared to controls. CONCLUSION The differences between individuals with psychotic disorder and healthy controls, derived from detailed diffusion data analyses, suggest less fiber orientation and increased free water movement in the patients. There was some evidence for association with familial risk expressed by decreased fiber orientation.
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Affiliation(s)
- Stijn Michielse
- Department of Psychiatry & Neuropsychology, School for Mental Health and Neuroscience, EURON, Maastricht University Medical Centre, PO Box 616, 6200 MD Maastricht, The Netherlands.
| | - Ed Gronenschild
- Department of Psychiatry & Neuropsychology, School for Mental Health and Neuroscience, EURON, Maastricht University Medical Centre, PO Box 616, 6200 MD Maastricht, The Netherlands
| | - Patrick Domen
- Department of Psychiatry & Neuropsychology, School for Mental Health and Neuroscience, EURON, Maastricht University Medical Centre, PO Box 616, 6200 MD Maastricht, The Netherlands
| | - Jim van Os
- Department of Psychiatry & Neuropsychology, School for Mental Health and Neuroscience, EURON, Maastricht University Medical Centre, PO Box 616, 6200 MD Maastricht, The Netherlands; King's College London, King's Health Partners, Department of Psychosis Studies, Institute of Psychiatry, London, UK; Department of Psychiatry, Brain Center Rudolf Magnus, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Machteld Marcelis
- Department of Psychiatry & Neuropsychology, School for Mental Health and Neuroscience, EURON, Maastricht University Medical Centre, PO Box 616, 6200 MD Maastricht, The Netherlands; Institute for Mental Health Care Eindhoven (GGzE), Eindhoven, The Netherlands
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Oxidative stress, prefrontal cortex hypomyelination and cognitive symptoms in schizophrenia. Transl Psychiatry 2017; 7:e1171. [PMID: 28934193 PMCID: PMC5538118 DOI: 10.1038/tp.2017.138] [Citation(s) in RCA: 124] [Impact Index Per Article: 17.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/01/2017] [Revised: 04/12/2017] [Accepted: 05/06/2017] [Indexed: 12/13/2022] Open
Abstract
Schizophrenia (SZ) is a neurodevelopmental disorder with a broad symptomatology, including cognitive symptoms that are thought to arise from the prefrontal cortex (PFC). The neurobiological aetiology of these symptoms remains elusive, yet both impaired redox control and PFC dysconnectivity have been recently implicated. PFC dysconnectivity has been linked to white matter, oligodendrocyte (OL) and myelin abnormalities in SZ patients. Myelin is produced by mature OLs, and OL precursor cells (OPCs) are exceptionally susceptible to oxidative stress. Here we propose a hypothesis for the aetiology of cognitive symptomatology in SZ: the redox-induced prefrontal OPC-dysfunctioning hypothesis. We pose that the combination of genetic and environmental factors causes oxidative stress marked by a build-up of reactive oxygen species that, during late adolescence, impair OPC signal transduction processes that are necessary for OPC proliferation and differentiation, and involve AMP-activated protein kinase, Akt-mTOR-P70S6K and peroxisome proliferator receptor alpha signalling. OPC dysfunctioning coincides with the relatively late onset of PFC myelination, causing hypomyelination and disruption of connectivity in this brain area. The resulting cognitive deficits arise in parallel with SZ onset. Hence, our hypothesis provides a novel neurobiological framework for the aetiology of SZ cognitive symptoms. Future research addressing our hypothesis could have important implications for the development of new (combined) antioxidant- and promyelination-based strategies to treat the cognitive symptoms in SZ.
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Squarcina L, Bellani M, Rossetti MG, Perlini C, Delvecchio G, Dusi N, Barillari M, Ruggeri M, Altamura CA, Bertoldo A, Brambilla P. Similar white matter changes in schizophrenia and bipolar disorder: A tract-based spatial statistics study. PLoS One 2017; 12:e0178089. [PMID: 28658249 PMCID: PMC5489157 DOI: 10.1371/journal.pone.0178089] [Citation(s) in RCA: 52] [Impact Index Per Article: 7.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/13/2016] [Accepted: 05/07/2017] [Indexed: 12/17/2022] Open
Abstract
Several strands of evidence reported a significant overlapping, in terms of clinical symptoms, epidemiology and treatment response, between the two major psychotic disorders—Schizophrenia (SCZ) and Bipolar Disorder (BD). Nevertheless, the shared neurobiological correlates of these two disorders are far from conclusive. This study aims toward a better understanding of possible common microstructural brain alterations in SCZ and BD. Magnetic Resonance Diffusion data of 33 patients with BD, 19 with SCZ and 35 healthy controls were acquired. Diffusion indexes were calculated, then analyzed using Tract-Based Spatial Statistics (TBSS). We tested correlations with clinical and psychological variables. In both patient groups mean diffusion (MD), volume ratio (VR) and radial diffusivity (RD) showed a significant increase, while fractional anisotropy (FA) and mode (MO) decreased compared to the healthy group. Changes in diffusion were located, for both diseases, in the fronto-temporal and callosal networks. Finally, no significant differences were identified between patient groups, and a significant correlations between length of disease and FA and VR within the corpus callosum, corona radiata and thalamic radiation were observed in bipolar disorder. To our knowledge, this is the first study applying TBSS on all the DTI indexes at the same time in both patient groups showing that they share similar impairments in microstructural connectivity, with particular regards to fronto-temporal and callosal communication, which are likely to worsen over time. Such features may represent neural common underpinnings characterizing major psychoses and confirm the central role of white matter pathology in schizophrenia and bipolar disorder.
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Affiliation(s)
| | | | - Maria Gloria Rossetti
- Section of Psychiatry, Department of Neurosciences, Biomedicine and Movement Sciences, University of Verona, Verona, Italy
| | - Cinzia Perlini
- Section of Clinical Psychology, Department of Neurosciences, Biomedicine and Movement Sciences, Verona, Italy
| | | | - Nicola Dusi
- Section of Psychiatry, AOUI Verona, Verona, Italy
| | - Marco Barillari
- Department of Radiology, University of Verona, Verona, Italy
| | | | - Carlo A. Altamura
- Department of Neurosciences and Mental Health, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, University of Milan, Milan, Italy
| | - Alessandra Bertoldo
- Department of Information Engineering (DEI), University of Padova, Padova, Italy
| | - Paolo Brambilla
- Department of Neurosciences and Mental Health, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, University of Milan, Milan, Italy
- Department of Psychiatry and Behavioral Sciences, UTHouston Medical School, Houston, Texas, United States of America
- * E-mail:
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21
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Xi YB, Guo F, Li H, Chang X, Sun JB, Zhu YQ, Liu WM, Cui LB, Chen G, Wang HN, Yin H. The structural connectivity pathology of first-episode schizophrenia based on the cardinal symptom of auditory verbal hallucinations. Psychiatry Res Neuroimaging 2016; 257:25-30. [PMID: 27744190 DOI: 10.1016/j.pscychresns.2016.09.011] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/22/2016] [Revised: 09/26/2016] [Accepted: 09/27/2016] [Indexed: 11/17/2022]
Abstract
Heterogeneous findings across studies of structural abnormality in schizophrenia (SZ) have impeded the development a unified theory of white matter pathology. As a cardinal symptom of SZ, auditory verbal hallucination (AVH) has been suspected to be associated with improper communication among several brain regions, which might indicated white matter pathology. Participants comprised 25 first-episode (FE) patients with AVH, 25 patients without AVH and 25 healthy subjects. Diffusion tensor imaging (DTI) measures were calculated using the TBSS of FSL. Voxel-based ANOVA tests were performed among the three groups and threshold-free cluster enhancement (TFCE) method correction was used for multiple comparisons. Voxel-based one-way ANOVA showed significant group effects for fractional anisotropy (FA) and radial diffusivity (RD) values. Post-hoc t-tests indicated that schizophrenia patients had lower FA and higher RD values in the internal capsule and anterior corona radiata than control subjects. Post-hoc analyses exhibited more widespread fiber disruptions in AVH patients than non-AVH patients. These results hinted on the important role of projection fiber disruption in schizophrenia patients. In addition, the current study also suggested that direct comparison between studies using patients with different symptom profiles should be interpreted with caution.
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Affiliation(s)
- Yi-Bin Xi
- Department of Radiology, Xijing Hospital, The Fourth Military Medical University, Xi'an, Shaanxi 710032, China
| | - Fan Guo
- Department of Radiology, Xijing Hospital, The Fourth Military Medical University, Xi'an, Shaanxi 710032, China
| | - Hua Li
- Department of Radiology, The Second Hospital, Yulin, Shaanxi, China
| | - Xiao Chang
- Department of Medical Psychology, The Fourth Military Medical University, Xi'an, Shaanxi 710032, China
| | - Jin-Bo Sun
- Life Sciences Research Center, School of Life Sciences and Technology, Xidian University, Xi'an, China
| | - Yuan-Qiang Zhu
- Life Sciences Research Center, School of Life Sciences and Technology, Xidian University, Xi'an, China
| | - Wen-Ming Liu
- Department of Psychiatry, Xijing Hospital, The Fourth Military Medical University, Xi'an, Shaanxi 710032, China
| | - Long-Biao Cui
- Department of Radiology, Xijing Hospital, The Fourth Military Medical University, Xi'an, Shaanxi 710032, China
| | - Gang Chen
- Department of Radiology, Xijing Hospital, The Fourth Military Medical University, Xi'an, Shaanxi 710032, China
| | - Hua-Ning Wang
- Department of Psychiatry, Xijing Hospital, The Fourth Military Medical University, Xi'an, Shaanxi 710032, China.
| | - Hong Yin
- Department of Radiology, Xijing Hospital, The Fourth Military Medical University, Xi'an, Shaanxi 710032, China.
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22
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The COMT Val158Met polymorphism moderates the association between cognitive functions and white matter microstructure in schizophrenia. Psychiatr Genet 2016; 26:193-202. [DOI: 10.1097/ypg.0000000000000130] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
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23
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Green AE, Croft RJ, Maller JJ, Fitzgerald PB. White matter correlates of episodic memory encoding and retrieval in schizophrenia. Psychiatry Res Neuroimaging 2016; 254:188-198. [PMID: 27479923 DOI: 10.1016/j.pscychresns.2016.07.002] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/18/2015] [Accepted: 07/05/2016] [Indexed: 01/14/2023]
Abstract
Episodic memory (EM) impairments in schizophrenia (SZ) are predictive of functional outcome and are a potential endophenotype of the disorder. The current study investigated the neuroanatomical correlates of EM encoding and retrieval in SZ with structural magnetic resonance and diffusion tensor imaging (DTI) measures in 22 patients with SZ and 22 age- and gender-matched healthy controls. Tract-based Spatial Statistics (TBSS) was used to investigate microstructural alterations in white matter (WM), while FreeSurfer surface-based analysis was used to determine abnormalities in grey matter (GM) and WM volumetrics and cortical thickness. Compared to controls, patients demonstrated GM deficits in temporal and parietal regions and lower fractional anisotropy (FA) of WM in diffuse brain regions. Patients also demonstrated reduced functioning in both encoding and retention of auditory-verbal EM. Among patients but not controls, EM encoding correlated with WM volume in the orbitofrontal cortex and increased radial diffusivity in the fornix, whereas EM retrieval correlated with WM volume in posterior parietal cortex. These findings suggest a differential role for frontal and parietal WM in EM encoding and retrieval processes, while myelin integrity of the fornix may play a specific role in mediating EM encoding processes in SZ.
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Affiliation(s)
- Amity E Green
- Monash Alfred Psychiatry Research Centre, Central Clinical School, Monash University and the Alfred Hospital, Australia.
| | - Rodney J Croft
- Illawarra Health & Medical Research Institute, University of Wollongong, Australia; School of Psychology, University of Wollongong, Australia
| | - Jerome J Maller
- Monash Alfred Psychiatry Research Centre, Central Clinical School, Monash University and the Alfred Hospital, Australia
| | - Paul B Fitzgerald
- Monash Alfred Psychiatry Research Centre, Central Clinical School, Monash University and the Alfred Hospital, Australia
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24
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Mallas EJ, Carletti F, Chaddock CA, Woolley J, Picchioni MM, Shergill SS, Kane F, Allin MP, Barker GJ, Prata DP. Genome-wide discovered psychosis-risk gene ZNF804A impacts on white matter microstructure in health, schizophrenia and bipolar disorder. PeerJ 2016; 4:e1570. [PMID: 26966642 PMCID: PMC4782689 DOI: 10.7717/peerj.1570] [Citation(s) in RCA: 24] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/17/2015] [Accepted: 12/15/2015] [Indexed: 01/10/2023] Open
Abstract
Background. Schizophrenia (SZ) and bipolar disorder (BD) have both been associated with reduced microstructural white matter integrity using, as a proxy, fractional anisotropy (FA) detected using diffusion tensor imaging (DTI). Genetic susceptibility for both illnesses has also been positively correlated in recent genome-wide association studies with allele A (adenine) of single nucleotide polymorphism (SNP) rs1344706 of the ZNF804A gene. However, little is known about how the genomic linkage disequilibrium region tagged by this SNP impacts on the brain to increase risk for psychosis. This study aimed to assess the impact of this risk variant on FA in patients with SZ, in those with BD and in healthy controls. Methods. 230 individuals were genotyped for the rs1344706 SNP and underwent DTI. We used tract-based spatial statistics (TBSS) followed by an analysis of variance, with threshold-free cluster enhancement (TFCE), to assess underlying effects of genotype, diagnosis and their interaction, on FA. Results. As predicted, statistically significant reductions in FA across a widely distributed brain network (p < 0.05, TFCE-corrected) were positively associated both with a diagnosis of SZ or BD and with the double (homozygous) presence of the ZNF804A rs1344706 risk variant (A). The main effect of genotype was medium (d = 0.48 in a 44,054-voxel cluster) and the effect in the SZ group alone was large (d = 1.01 in a 51,260-voxel cluster), with no significant effects in BD or controls, in isolation. No areas under a significant diagnosis by genotype interaction were found. Discussion. We provide the first evidence in a predominantly Caucasian clinical sample, of an association between ZNF804A rs1344706 A-homozygosity and reduced FA, both irrespective of diagnosis and particularly in SZ (in overlapping brain areas). This suggests that the previously observed involvement of this genomic region in psychosis susceptibility, and in impaired functional connectivity, may be conferred through it inducing abnormalities in white matter microstructure.
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Affiliation(s)
- Emma-Jane Mallas
- Department of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King’s College London, University of London, London, United Kingdom
- Computational, Cognitive and Clinical Neuroimaging Laboratory, Division of Brain Sciences, Department of Medicine, Imperial College London, London, United Kingdom
| | - Francesco Carletti
- Department of Neuroradiology, John Radcliffe Hospital, Oxford University Hospitals NHS Trust, Oxford, United Kingdom
| | - Christopher A. Chaddock
- Department of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King’s College London, University of London, London, United Kingdom
| | - James Woolley
- Psychological Medicine, Royal Brompton & Harefield NHS Trust, London, United Kingdom
| | - Marco M. Picchioni
- Department of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King’s College London, University of London, London, United Kingdom
- St Andrew’s Academic Department, St Andrew’s Healthcare, Northampton, United Kingdom
| | - Sukhwinder S. Shergill
- Department of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King’s College London, University of London, London, United Kingdom
| | - Fergus Kane
- Department of Psychology, Institute of Psychiatry, Psychology and Neuroscience, King’s College London, University of London, London, United Kingdom
| | - Matthew P.G. Allin
- Department of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King’s College London, University of London, London, United Kingdom
| | - Gareth J. Barker
- Department of Neuroimaging, Institute of Psychiatry, Psychology & Neuroscience, King’s College London, University of London, London, United Kingdom
| | - Diana P. Prata
- Department of Neuroimaging, Institute of Psychiatry, Psychology & Neuroscience, King’s College London, University of London, London, United Kingdom
- Instituto de Medicina Molecular, Faculdade de Medicina, Universidade de Lisboa, Lisbon, Portugal
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25
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Reid MA, White DM, Kraguljac NV, Lahti AC. A combined diffusion tensor imaging and magnetic resonance spectroscopy study of patients with schizophrenia. Schizophr Res 2016; 170:341-50. [PMID: 26718333 PMCID: PMC5982513 DOI: 10.1016/j.schres.2015.12.003] [Citation(s) in RCA: 35] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/22/2015] [Revised: 12/03/2015] [Accepted: 12/07/2015] [Indexed: 12/31/2022]
Abstract
Diffusion tensor imaging (DTI) studies in schizophrenia consistently show global reductions in fractional anisotropy (FA), a putative marker of white matter integrity. The cingulum bundle, which facilitates communication between the anterior cingulate cortex (ACC) and hippocampus, is frequently implicated in schizophrenia. Magnetic resonance spectroscopy (MRS) studies report metabolic abnormalities in the ACC and hippocampus of patients. Combining DTI and MRS offers exploration of the relationship between cortical neuronal biochemistry and the integrity of white matter tracts connecting specific cortical regions; however, few studies have attempted this in schizophrenia. Twenty-nine schizophrenia patients and twenty controls participated in this 3 T imaging study in which we used DTI and tract-based spatial statistics (TBSS) to assess white matter integrity and MRS to quantify metabolites in the ACC and hippocampus. We found FA reductions with overlapping radial diffusivity (RD) elevations in patients in multiple tracts, suggesting white matter abnormalities in schizophrenia are driven by loss of myelin integrity. In controls, we found significant negative correlations between hippocampal N-acetylaspartate/creatine and RD and axial diffusivity (AD) as well as a significant negative correlation between FA and ACC glutamate+glutamine/creatine in the hippocampal part of the cingulum bundle. It is possible that the extent of myelin damage could have resulted in the absence of DTI-MRS correlations in our patient group. In conclusion, we demonstrate the potential utility of a multi-modal neuroimaging approach to help further our understanding of the relationship between white matter microstructure and neurochemistry in distinct cortical regions connected by white matter tracts.
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Affiliation(s)
- Meredith A. Reid
- Department of Psychiatry and Behavioral Neurobiology, University of Alabama at Birmingham, Birmingham, AL, USA,Department of Biomedical Engineering, University of Alabama at Birmingham, Birmingham, AL, USA
| | - David M. White
- Department of Psychiatry and Behavioral Neurobiology, University of Alabama at Birmingham, Birmingham, AL, USA
| | - Nina V. Kraguljac
- Department of Psychiatry and Behavioral Neurobiology, University of Alabama at Birmingham, Birmingham, AL, USA
| | - Adrienne C. Lahti
- Department of Psychiatry and Behavioral Neurobiology, University of Alabama at Birmingham, Birmingham, AL, USA,To whom correspondence should be addressed: Adrienne C. Lahti, MD, Department of Psychiatry and Behavioral Neurobiology, The University of Alabama at Birmingham, SC 501, 1720 2 Ave S, Birmingham, AL 35294-0017, USA, +1 205-996-6776, Fax: +1 205-975-4879,
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26
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Chavarria-Siles I, White T, de Leeuw C, Goudriaan A, Lips E, Ehrlich S, Turner JA, Calhoun VD, Gollub RL, Magnotta VA, Ho BC, Smit AB, Verheijen MHG, Posthuma D. Myelination-related genes are associated with decreased white matter integrity in schizophrenia. Eur J Hum Genet 2015; 24:381-6. [PMID: 26014434 DOI: 10.1038/ejhg.2015.120] [Citation(s) in RCA: 24] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/15/2014] [Revised: 03/24/2015] [Accepted: 04/17/2015] [Indexed: 01/01/2023] Open
Abstract
Disruptions in white matter (WM) tract structures have been implicated consistently in the pathophysiology of schizophrenia. Global WM integrity--as measured by fractional anisotropy (FA)--is highly heritable and may provide a good endophenotype for genetic studies of schizophrenia. WM abnormalities in schizophrenia are not localized to one specific brain region but instead reflect global low-level decreases in FA coupled with focal abnormalities. In this study, we sought to investigate whether functional gene sets associated with schizophrenia are also associated with WM integrity. We analyzed FA and genetic data from the Mind Research Network Clinical Imaging Consortium to study the effect of multiple oligodendrocyte gene sets on schizophrenia and WM integrity using a functional gene set analysis in 77 subjects with schizophrenia and 104 healthy controls. We found that a gene set involved in myelination was significantly associated with schizophrenia and FA. This gene set includes 17 genes that are expressed in oligodendrocytes and one neuronal gene (NRG1) that is known to regulate myelination. None of the genes within the gene set were associated with schizophrenia or FA individually, suggesting that no single gene was driving the association of the gene set. Our findings support the hypothesis that multiple genetic variants in myelination-related genes contribute to the observed correlation between schizophrenia and decreased WM integrity as measured by FA.
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Affiliation(s)
- Ivan Chavarria-Siles
- Department of Functional Genomics, CNCR, Neuroscience Campus Amsterdam, VU University, Amsterdam, The Netherlands.,Department of Complex Trait Genetics, VU University Medical Center, Amsterdam, The Netherlands.,Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Tonya White
- Department of Child and Adolescent Psychiatry, Erasmus Medical Center, Rotterdam, The Netherlands.,Department of Radiology, Erasmus Medical Center, Rotterdam, The Netherlands
| | - Christiaan de Leeuw
- Department of Functional Genomics, CNCR, Neuroscience Campus Amsterdam, VU University, Amsterdam, The Netherlands.,Department of Complex Trait Genetics, VU University Medical Center, Amsterdam, The Netherlands
| | - Andrea Goudriaan
- Department of Molecular and Cellular Neurobiology, CNCR, Neuroscience Campus Amsterdam, VU University, Amsterdam, The Netherlands
| | - Esther Lips
- Department of Functional Genomics, CNCR, Neuroscience Campus Amsterdam, VU University, Amsterdam, The Netherlands
| | - Stefan Ehrlich
- Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Boston, MA, USA.,Department of Child and Adolescent Psychiatry, TU Dresden, Germany
| | - Jessica A Turner
- Department of Psychology and Neuroscience Institute, Georgia State University, Atlanta, GA, USA.,The Mind Research Network, Albuquerque, NM, USA
| | - Vince D Calhoun
- The Mind Research Network, Albuquerque, NM, USA.,Department of Psychiatry, University of New Mexico, New Mexico, NM, USA.,Department of Electrical and Computer Engineering, University of New Mexico, Albuquerque, NM, USA
| | - Randy L Gollub
- Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Boston, MA, USA.,Departments of Psychiatry and Radiology, Massachusetts General Hospital, Boston, MA, USA
| | - Vincent A Magnotta
- Department of Radiology, The University of Iowa Carver College of Medicine, Iowa City, IA, USA
| | - Beng-Choon Ho
- Department of Psychiatry, The University of Iowa Carver College of Medicine, Iowa City, IA, USA
| | - August B Smit
- Department of Molecular and Cellular Neurobiology, CNCR, Neuroscience Campus Amsterdam, VU University, Amsterdam, The Netherlands
| | - Mark H G Verheijen
- Department of Molecular and Cellular Neurobiology, CNCR, Neuroscience Campus Amsterdam, VU University, Amsterdam, The Netherlands
| | - Danielle Posthuma
- Department of Functional Genomics, CNCR, Neuroscience Campus Amsterdam, VU University, Amsterdam, The Netherlands.,Department of Complex Trait Genetics, VU University Medical Center, Amsterdam, The Netherlands.,Department of Child and Adolescent Psychiatry, Erasmus Medical Center, Rotterdam, The Netherlands
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27
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Ublinskii MV, Semenova NA, Lukovkina OV, Sidorin SV, Lebedeva IS, Akhadov TA. Diffusion in the corpus callosum in patients with early schizophrenia. Bull Exp Biol Med 2015; 158:611-3. [PMID: 25778644 DOI: 10.1007/s10517-015-2818-8] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/17/2013] [Indexed: 10/23/2022]
Abstract
Diffusion in the cerebral corpus callosum in patients with early schizophrenia was studied by diffusion tensor MRT and magnetic resonance spectroscopy. The fraction anisotropy coefficient in the corpus callosum knee was low as a result of high radial diffusion. Spectroscopy detected a decrease of N-acetylaspartate level in the corpus callosum knee indicating axonal lesion during the early stage of schizophrenia.
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Affiliation(s)
- M V Ublinskii
- Research Institute of Urgent Pediatric Surgery and Traumatology, Moscow, Russian Federation
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28
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Wischhof L, Irrsack E, Osorio C, Koch M. Prenatal LPS-exposure--a neurodevelopmental rat model of schizophrenia--differentially affects cognitive functions, myelination and parvalbumin expression in male and female offspring. Prog Neuropsychopharmacol Biol Psychiatry 2015; 57:17-30. [PMID: 25455585 DOI: 10.1016/j.pnpbp.2014.10.004] [Citation(s) in RCA: 119] [Impact Index Per Article: 13.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/08/2014] [Revised: 10/08/2014] [Accepted: 10/10/2014] [Indexed: 01/15/2023]
Abstract
Maternal infection during pregnancy increases the risk for the offspring to develop schizophrenia. Gender differences can be seen in various features of the illness and sex steroid hormones (e.g. estrogen) have strongly been implicated in the disease pathology. In the present study, we evaluated sex differences in the effects of prenatal exposure to a bacterial endotoxin (lipopolysaccharide, LPS) in rats. Pregnant dams received LPS-injections (100 μg/kg) at gestational day 15 and 16. The offspring was then tested for prepulse inhibition (PPI), locomotor activity, anxiety-like behavior and object recognition memory at various developmental time points. At postnatal day (PD) 33 and 60, prenatally LPS-exposed rats showed locomotor hyperactivity which was similar in male and female offspring. Moreover, prenatal LPS-treatment caused PPI deficits in pubertal (PD45) and adult (PD90) males while PPI impairments were found only at PD45 in prenatally LPS-treated females. Following prenatal LPS-administration, recognition memory for objects was impaired in both sexes with males being more severely affected. Additionally, we assessed prenatal infection-induced alterations of parvalbumin (Parv) expression and myelin fiber density. Male offspring born to LPS-challenged mothers showed decreased myelination in cortical and limbic brain regions as well as reduced numbers of Parv-expressing cells in the medial prefrontal cortex (mPFC), hippocampus and entorhinal cortex. In contrast, LPS-exposed female rats showed only a modest decrease in myelination and Parv immunoreactivity. Collectively, our data indicate that some of the prenatal immune activation effects are sex dependent and further strengthen the importance of taking into account gender differences in animal models of schizophrenia.
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Affiliation(s)
- Lena Wischhof
- Brain Research Institute, Department of Neuropharmacology, University of Bremen, Hochschulring 18, 28359 Bremen, Germany.
| | - Ellen Irrsack
- Brain Research Institute, Department of Neuropharmacology, University of Bremen, Hochschulring 18, 28359 Bremen, Germany
| | - Carmen Osorio
- Brain Research Institute, Department of Neuropharmacology, University of Bremen, Hochschulring 18, 28359 Bremen, Germany
| | - Michael Koch
- Brain Research Institute, Department of Neuropharmacology, University of Bremen, Hochschulring 18, 28359 Bremen, Germany
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29
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Abnormal cortico-limbic connectivity during emotional processing correlates with symptom severity in schizophrenia. Eur Psychiatry 2015; 30:590-7. [PMID: 25682180 DOI: 10.1016/j.eurpsy.2015.01.002] [Citation(s) in RCA: 35] [Impact Index Per Article: 3.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/26/2014] [Revised: 01/08/2015] [Accepted: 01/08/2015] [Indexed: 11/22/2022] Open
Abstract
BACKGROUND Impaired emotional processing is a core feature of schizophrenia (SZ). Consistent findings suggested that abnormal emotional processing in SZ could be paralleled by a disrupted functional and structural integrity within the fronto-limbic circuitry. The effective connectivity of emotional circuitry in SZ has never been explored in terms of causal relationship between brain regions. We used functional magnetic resonance imaging and Dynamic Causal Modeling (DCM) to characterize effective connectivity during implicit processing of affective stimuli in SZ. METHODS We performed DCM to model connectivity between amygdala (Amy), dorsolateral prefrontal cortex (DLPFC), ventral prefrontal cortex (VPFC), fusiform gyrus (FG) and visual cortex (VC) in 25 patients with SZ and 29 HC. Bayesian Model Selection and average were performed to determine the optimal structural model and its parameters. RESULTS Analyses revealed that patients with SZ are characterized by a significant reduced top-down endogenous connectivity from DLPFC to Amy, an increased connectivity from Amy to VPFC and a decreased driving input to Amy of affective stimuli compared to HC. Furthermore, DLPFC to Amy connection in patients significantly influenced the severity of psychopathology as rated on Positive and Negative Syndrome Scale. CONCLUSIONS Results suggest a functional disconnection in brain network that contributes to the symptomatic outcome of the disorder. Our findings support the study of effective connectivity within cortico-limbic structures as a marker of severity and treatment efficacy in SZ.
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30
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Prasad KM, Upton CH, Schirda CS, Nimgaonkar VL, Keshavan MS. White matter diffusivity and microarchitecture among schizophrenia subjects and first-degree relatives. Schizophr Res 2015; 161:70-5. [PMID: 25454798 PMCID: PMC4277717 DOI: 10.1016/j.schres.2014.09.045] [Citation(s) in RCA: 19] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/18/2014] [Revised: 09/27/2014] [Accepted: 09/30/2014] [Indexed: 12/31/2022]
Abstract
BACKGROUND Impairments in structural and functional connections are demonstrated in schizophrenia. Certain disconnectional patterns may be biomarkers of elevated risk for schizophrenia. Convergent examination of multiple diffusion parameters and cognitive performance better illustrates pathophysiological significance of such disconnectional patterns. METHODS Diffusion Tensor Imaging data on 39 early-course schizophrenia subjects, 21 adolescent/young adult first-degree relatives (FDR) of schizophrenia subjects and 29 healthy controls (HC) were examined for threshold-free clusters of fractional anisotropy (FA) and radial diffusivity (RD) differences correcting for multiple comparisons. Regression models examined the variance contributed by anisotropy differences, age and sex. Group-wise differences on sustained attention, verbal memory and executive functions were examined and correlated with diffusivity measures controlling for age and sex. RESULTS Schizophrenia subjects showed significantly decreased FA and increased RD in the forceps minor and superior longitudinal fasciculus (SLF) compared to HC. FDR showed decreased forceps minor FA compared to HC, and decreased SLF RD compared to HC and schizophrenia subjects. Quantitative RD differences were 2-3 fold higher compared to FA. Besides, forceps minor RD was inversely correlated with sustained attention in schizophrenia. CONCLUSIONS Schizophrenia and FDR subjects show different patterns of white matter diffusivity compared to HC. While forceps minor changes may be a disease marker, SLF changes may be risk markers. In addition, RD may be a more robust risk marker than FA.
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Affiliation(s)
- Konasale M. Prasad
- Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, PA, United States, Corresponding author at: Room 422, Ste 431, Western Psychiatric Institute and Clinic, 3811 O'Hara St, Pittsburgh, PA 15213, United States. Tel.: +1 412 586 9014. (K.M. Prasad)
| | - Catherine H. Upton
- Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, PA, United States
| | - Claudiu S. Schirda
- Department of Radiology, University of Pittsburgh School of Medicine, Pittsburgh, PA, United States
| | - Vishwajit L. Nimgaonkar
- Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, PA, United States
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31
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Zhu J, Zhuo C, Qin W, Wang D, Ma X, Zhou Y, Yu C. Performances of diffusion kurtosis imaging and diffusion tensor imaging in detecting white matter abnormality in schizophrenia. NEUROIMAGE-CLINICAL 2014; 7:170-6. [PMID: 25610778 PMCID: PMC4300008 DOI: 10.1016/j.nicl.2014.12.008] [Citation(s) in RCA: 73] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 09/02/2014] [Revised: 11/26/2014] [Accepted: 12/04/2014] [Indexed: 01/08/2023]
Abstract
Diffusion kurtosis imaging (DKI) is an extension of diffusion tensor imaging (DTI), exhibiting improved sensitivity and specificity in detecting developmental and pathological changes in neural tissues. However, little attention was paid to the performances of DKI and DTI in detecting white matter abnormality in schizophrenia. In this study, DKI and DTI were performed in 94 schizophrenia patients and 91 sex- and age-matched healthy controls. White matter integrity was assessed by fractional anisotropy (FA), mean diffusivity (MD), axial diffusivity (AD), radial diffusivity (RD), mean kurtosis (MK), axial kurtosis (AK) and radial kurtosis (RK) of DKI and FA, MD, AD and RD of DTI. Group differences in these parameters were compared using tract-based spatial statistics (TBSS) (P < 0.01, corrected). The sensitivities in detecting white matter abnormality in schizophrenia were MK (34%) > AK (20%) > RK (3%) and RD (37%) > FA (24%) > MD (21%) for DKI, and RD (43%) > FA (30%) > MD (21%) for DTI. DKI-derived diffusion parameters (RD, FA and MD) were sensitive to detect abnormality in white matter regions (the corpus callosum and anterior limb of internal capsule) with coherent fiber arrangement; however, the kurtosis parameters (MK and AK) were sensitive to reveal abnormality in white matter regions (the juxtacortical white matter and corona radiata) with complex fiber arrangement. In schizophrenia, the decreased AK suggests axonal damage; however, the increased RD indicates myelin impairment. These findings suggest that diffusion and kurtosis parameters could provide complementary information and they should be jointly used to reveal pathological changes in schizophrenia. Kurtosis parameters are suitable to assess WM regions with complex fiber arrangement. Diffusion parameters are suitable to assess WM regions with coherent fiber arrangement. Increased RD suggests myelin abnormalities in schizophrenia. Decreased AK indicates axonal abnormalities in schizophrenia.
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Affiliation(s)
- Jiajia Zhu
- Department of Radiology and Tianjin Key Laboratory of Functional Imaging, Tianjin Medical University General Hospital, Tianjin 300052, China
| | | | - Wen Qin
- Department of Radiology and Tianjin Key Laboratory of Functional Imaging, Tianjin Medical University General Hospital, Tianjin 300052, China
| | - Di Wang
- Department of Radiology and Tianjin Key Laboratory of Functional Imaging, Tianjin Medical University General Hospital, Tianjin 300052, China
| | - Xiaomei Ma
- Department of Radiology and Tianjin Key Laboratory of Functional Imaging, Tianjin Medical University General Hospital, Tianjin 300052, China
| | - Yujing Zhou
- Department of Radiology and Tianjin Key Laboratory of Functional Imaging, Tianjin Medical University General Hospital, Tianjin 300052, China
| | - Chunshui Yu
- Department of Radiology and Tianjin Key Laboratory of Functional Imaging, Tianjin Medical University General Hospital, Tianjin 300052, China
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Jalbrzikowski M, Villalon-Reina JE, Karlsgodt KH, Senturk D, Chow C, Thompson PM, Bearden CE. Altered white matter microstructure is associated with social cognition and psychotic symptoms in 22q11.2 microdeletion syndrome. Front Behav Neurosci 2014; 8:393. [PMID: 25426042 PMCID: PMC4227518 DOI: 10.3389/fnbeh.2014.00393] [Citation(s) in RCA: 48] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/16/2014] [Accepted: 10/22/2014] [Indexed: 12/26/2022] Open
Abstract
22q11.2 Microdeletion Syndrome (22q11DS) is a highly penetrant genetic mutation associated with a significantly increased risk for psychosis. Aberrant neurodevelopment may lead to inappropriate neural circuit formation and cerebral dysconnectivity in 22q11DS, which may contribute to symptom development. Here we examined: (1) differences between 22q11DS participants and typically developing controls in diffusion tensor imaging (DTI) measures within white matter tracts; (2) whether there is an altered age-related trajectory of white matter pathways in 22q11DS; and (3) relationships between DTI measures, social cognition task performance, and positive symptoms of psychosis in 22q11DS and typically developing controls. Sixty-four direction diffusion weighted imaging data were acquired on 65 participants (36 22q11DS, 29 controls). We examined differences between 22q11DS vs. controls in measures of fractional anisotropy (FA), axial diffusivity (AD), and radial diffusivity (RD), using both a voxel-based and region of interest approach. Social cognition domains assessed were: Theory of Mind and emotion recognition. Positive symptoms were assessed using the Structured Interview for Prodromal Syndromes. Compared to typically developing controls, 22q11DS participants showed significantly lower AD and RD in multiple white matter tracts, with effects of greatest magnitude for AD in the superior longitudinal fasciculus. Additionally, 22q11DS participants failed to show typical age-associated changes in FA and RD in the left inferior longitudinal fasciculus. Higher AD in the left inferior fronto-occipital fasciculus (IFO) and left uncinate fasciculus was associated with better social cognition in 22q11DS and controls. In contrast, greater severity of positive symptoms was associated with lower AD in bilateral regions of the IFO in 22q11DS. White matter microstructure in tracts relevant to social cognition is disrupted in 22q11DS, and may contribute to psychosis risk.
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Affiliation(s)
- Maria Jalbrzikowski
- Department of Psychiatry and Biobehavioral Sciences, Semel Institute for Neuroscience and Human Behavior, University of California at Los Angeles Los Angeles, CA, USA
| | - Julio E Villalon-Reina
- Imaging Genetics Center, Institute for Neuroimaging and Informatics, Keck School of Medicine, University of Southern California Marina del Rey, CA, USA
| | - Katherine H Karlsgodt
- Center for Psychiatric Neuroscience, The Feinstein Institute for Medical Research Manhasset, NY, USA ; Division of Psychiatric Research, Zucker Hillside Hospital Glen Oaks, NY, USA ; Psychiatry, Hofstra Northshore-LIJ School of Medicine Hempstead, NY, USA
| | - Damla Senturk
- Department of Biostatistics, School of Public Health, University of California at Los Angeles Los Angeles, CA, USA
| | - Carolyn Chow
- Department of Psychiatry and Biobehavioral Sciences, Semel Institute for Neuroscience and Human Behavior, University of California at Los Angeles Los Angeles, CA, USA
| | - Paul M Thompson
- Imaging Genetics Center, Institute for Neuroimaging and Informatics, Keck School of Medicine, University of Southern California Marina del Rey, CA, USA
| | - Carrie E Bearden
- Department of Psychiatry and Biobehavioral Sciences, Semel Institute for Neuroscience and Human Behavior, University of California at Los Angeles Los Angeles, CA, USA ; Department of Psychology, University of California at Los Angeles Los Angeles, CA, USA
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Hatton SN, Lagopoulos J, Hermens DF, Hickie IB, Scott E, Bennett MR. White matter tractography in early psychosis: clinical and neurocognitive associations. J Psychiatry Neurosci 2014; 39:417-27. [PMID: 25111788 PMCID: PMC4214876 DOI: 10.1503/jpn.130280] [Citation(s) in RCA: 29] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/01/2022] Open
Abstract
BACKGROUND While many diffusion tensor imaging (DTI) investigations have noted disruptions to white matter integrity in individuals with chronic psychotic disorders, fewer studies have been conducted in young people at the early stages of disease onset. Using whole tract reconstruction techniques, the aim of this study was to identify the white matter pathology associated with the common clinical symptoms and executive function impairments observed in young people with psychosis. METHODS We obtained MRI scans from young people with psychosis and healthy controls. Eighteen major white matter tracts were reconstructed to determine group differences in fractional anisotropy (FA), axial diffusivity (AD) and radial diffusivity (RD) and then were subsequently correlated with symptomatology and neurocognitive performance. RESULTS Our study included 42 young people with psychosis (mean age 23 yr) and 45 healthy controls (mean age 25 yr). Compared with the control group, the psychosis group had reduced FA and AD in the left inferior longitudinal fasciculus (ILF) and forceps major indicative of axonal disorganization, reduction and/or loss. These changes were associated with worse overall psychiatric symptom severity, increases in positive and negative symptoms, and worse current levels of depression. The psychosis group also showed FA reductions in the left superior longitudinal fasciculus that were associated with impaired neurocognitive performance in attention and semantic fluency. LIMITATIONS Our analysis grouped 4 subcategories of psychosis together, and a larger follow-up study comparing affective and nonaffective psychoses is warranted. CONCLUSION Our findings suggest that impaired axonal coherence in the left ILF and forceps major underpin psychiatric symptoms in young people in the early stages of psychosis.
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Affiliation(s)
- Sean N. Hatton
- Correspondence to: S.N. Hatton, Brain and Mind Research Institute, University of Sydney, 94 Mallet St., Camperdown, NSW, 2050, Australia;
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Zhang S, Arfanakis K. White matter segmentation based on a skeletonized atlas: effects on diffusion tensor imaging studies of regions of interest. J Magn Reson Imaging 2014; 40:1189-98. [PMID: 24925050 PMCID: PMC10603788 DOI: 10.1002/jmri.24445] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/24/2013] [Accepted: 09/11/2013] [Indexed: 11/07/2022] Open
Abstract
PURPOSE To compare the influence of conventional and skeletonized atlas-based white matter (WM) segmentation on diffusion tensor imaging (DTI) region-of-interest (ROI) investigations. MATERIALS AND METHODS A conventional WM atlas was skeletonized by thinning the corresponding fractional anisotropy (FA) map and labels. The conventional and skeletonized versions of the atlas were used for WM segmentation. The percentage of non-WM voxels assigned to WM labels, as well as statistical summaries of tensor-derived quantities, were compared between segmentation approaches. The ability to detect small differences in diffusion properties across groups of subjects was also compared between segmentation approaches. RESULTS Skeletonized segmentation resulted in significantly lower non-WM percentage (P < 0.05), higher mean FA and lower trace (P < 0.05) in most WM labels, and mainly lower standard deviation of FA and trace in labels neighboring the ventricles. In terms of maximizing the ability to detect intergroup DTI differences, skeletonized segmentation was superior in the corpus callosum, but the optimal approach varied for other WM labels. CONCLUSION Conventional and skeletonized atlas-based segmentation probe different portions of brain tissue and lead to different statistical summaries of diffusion characteristics in WM labels. Careful selection of segmentation approach is required for DTI investigations of WM ROIs.
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Affiliation(s)
- Shengwei Zhang
- Department of Biomedical Engineering, Illinois Institute of Technology, Chicago, Illinois, USA
| | - Konstantinos Arfanakis
- Department of Biomedical Engineering, Illinois Institute of Technology, Chicago, Illinois, USA
- Rush Alzheimer’s Disease Center, Rush University Medical Center, Chicago, Illinois, USA
- Department of Diagnostic Radiology and Nuclear Medicine, Rush University Medical Center, Illinois, USA
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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: 165] [Impact Index Per Article: 16.5] [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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Clemm von Hohenberg C, Pasternak O, Kubicki M, Ballinger T, Vu MA, Swisher T, Green K, Giwerc M, Dahlben B, Goldstein JM, Woo TUW, Petryshen TL, Mesholam-Gately RI, Woodberry KA, Thermenos HW, Mulert C, McCarley RW, Seidman LJ, Shenton ME. White matter microstructure in individuals at clinical high risk of psychosis: a whole-brain diffusion tensor imaging study. Schizophr Bull 2014; 40:895-903. [PMID: 23737549 PMCID: PMC4059424 DOI: 10.1093/schbul/sbt079] [Citation(s) in RCA: 83] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/14/2022]
Abstract
BACKGROUND The study of individuals at clinical high risk (CHR) for psychosis provides an important opportunity for unraveling pathological mechanisms underlying schizophrenia and related disorders. A small number of diffusion tensor magnetic resonance imaging (DTI) studies in CHR samples have yielded anatomically inconsistent results. The present study is the first to apply tract-based spatial statistics (TBSS) to perform a whole-brain DTI analysis in CHR subjects. METHODS A total of 28 individuals meeting CHR criteria and 34 healthy controls underwent DTI. TBSS was used for a group comparison of fractional anisotropy (FA), as well as axial, radial, and mean diffusivity (AD, RD, and MD). Conversion to psychosis was monitored during a mean follow-up period of 12.3 months. RESULTS The rate of conversion to psychosis was relatively low (4%). TBSS revealed increased MD in several clusters in the right hemisphere, most notably in the superior longitudinal fasciculus (SLF), posterior corona radiata, and corpus callosum (splenium and body). Increased RD was restricted to a smaller area in the posterior parietal lobe. CONCLUSION We present further evidence that white matter microstructure is abnormal in CHR individuals, even in a sample in which the vast majority do not transition to psychosis over the following year. In accord with previous studies on CHR individuals and patients with early-onset schizophrenia, our findings suggest an important pathological role for the parietal lobe and especially the SLF. The latter is known to undergo particularly dynamic microstructural changes during adolescence and early adulthood, a critical phase for the development of psychotic illness.
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Affiliation(s)
- Christian Clemm von Hohenberg
- *To whom correspondence should be addressed; Psychiatry Neuroimaging Laboratory, Department of Psychiatry, Brigham and Women’s Hospital and Harvard Medical School, 1249 Boylston Street, Boston, MA 02215; tel: +1-617-525-6105, fax: +1-617-525-6150, e-mail:
| | - Ofer Pasternak
- Psychiatry Neuroimaging Laboratory, Department of Psychiatry, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA;,Department of Psychiatry, Harvard Medical School, Boston, MA
| | - Marek Kubicki
- Psychiatry Neuroimaging Laboratory, Department of Psychiatry, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA;,Department of Psychiatry, Harvard Medical School, Boston, MA;,Department of Radiology, Harvard Medical School, Boston, MA
| | - Thomas Ballinger
- Psychiatry Neuroimaging Laboratory, Department of Psychiatry, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA
| | - Mai-Anh Vu
- Psychiatry Neuroimaging Laboratory, Department of Psychiatry, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA
| | - Tali Swisher
- Psychiatry Neuroimaging Laboratory, Department of Psychiatry, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA
| | - Katie Green
- Psychiatry Neuroimaging Laboratory, Department of Psychiatry, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA
| | - Michelle Giwerc
- Psychiatry Neuroimaging Laboratory, Department of Psychiatry, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA
| | - Brian Dahlben
- Psychiatry Neuroimaging Laboratory, Department of Psychiatry, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA
| | - Jill M. Goldstein
- Department of Psychiatry, Harvard Medical School, Boston, MA;,Departments of Psychiatry and Medicine, Connors Center for Women’s Health and Gender Biology, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA
| | - Tsung-Ung W. Woo
- Department of Psychiatry, McLean Hospital, Harvard Medical School, Belmont, MA
| | - Tracey L. Petryshen
- Department of Psychiatry, Harvard Medical School, Boston, MA;,Psychiatric and Neurodevelopmental Genetics Unit, Center for Human Genetic Research and Department of Psychiatry, Massachusetts General Hospital, Boston, MA
| | - Raquelle I. Mesholam-Gately
- Department of Psychiatry, Harvard Medical School, Boston, MA;,Massachusetts Mental Health Center, Public Psychiatry Division, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA
| | - Kristen A. Woodberry
- Department of Psychiatry, Harvard Medical School, Boston, MA;,Massachusetts Mental Health Center, Public Psychiatry Division, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA
| | | | - Christoph Mulert
- Psychiatry Neuroimaging Branch, Imaging Center NeuroImage Nord and Department of Psychiatry and Psychotherapy, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Robert W. McCarley
- Department of Psychiatry, Harvard Medical School, Boston, MA;,Clinical Neuroscience Division, Laboratory of Neuroscience, Veterans Affairs Boston Healthcare System, Brockton Division, Brockton, MA
| | | | - Martha E. Shenton
- Psychiatry Neuroimaging Laboratory, Department of Psychiatry, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA;,Department of Psychiatry, Harvard Medical School, Boston, MA;,Department of Radiology, Harvard Medical School, Boston, MA;,Clinical Neuroscience Division, Laboratory of Neuroscience, Veterans Affairs Boston Healthcare System, Brockton Division, Brockton, MA
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Mayer AR, Bedrick EJ, Ling JM, Toulouse T, Dodd A. Methods for identifying subject-specific abnormalities in neuroimaging data. Hum Brain Mapp 2014; 35:5457-70. [PMID: 24931496 DOI: 10.1002/hbm.22563] [Citation(s) in RCA: 33] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/17/2013] [Revised: 05/20/2014] [Accepted: 05/27/2014] [Indexed: 12/20/2022] Open
Abstract
Algorithms that are capable of capturing subject-specific abnormalities (SSA) in neuroimaging data have long been an area of focus for diverse neuropsychiatric conditions such as multiple sclerosis, schizophrenia, and traumatic brain injury. Several algorithms have been proposed that define SSA in patients (i.e., comparison group) relative to image intensity levels derived from healthy controls (HC) (i.e., reference group) based on extreme values. However, the assumptions underlying these approaches have not always been fully validated, and may be dependent on the statistical distributions of the transformed data. The current study evaluated variations of two commonly used techniques ("pothole" method and standardization with an independent reference group) for identifying SSA using simulated data (derived from normal, t and chi-square distributions) and fractional anisotropy maps derived from 50 HC. Results indicated substantial group-wise bias in the estimation of extreme data points using the pothole method, with the degree of bias being inversely related to sample size. Statistical theory was utilized to develop a distribution-corrected z-score (DisCo-Z) threshold, with additional simulations demonstrating elimination of the bias and a more consistent estimation of extremes based on expected distributional properties. Data from previously published studies examining SSA in mild traumatic brain injury were then re-analyzed using the DisCo-Z method, with results confirming the evidence of group-wise bias. We conclude that the benefits of identifying SSA in neuropsychiatric research are substantial, but that proposed SSA approaches require careful implementation under the different distributional properties that characterize neuroimaging data.
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Affiliation(s)
- Andrew R Mayer
- The Mind Research Network/Lovelace Biomedical and Environmental Research Institute, Albuquerque, New Mexico; Neurology Department, University of New Mexico School of Medicine, Albuquerque, New Mexico; Department of Psychology, University of New Mexico, Albuquerque, New Mexico
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Abstract
PURPOSE OF REVIEW Schizophrenia is a multifocal brain disease that involves abnormal brain connectivity. Diffusion Tensor Imaging is the most advanced imaging technique to investigate white matter connections in vivo. In this review, we focus on studies published in the last year with a high impact on our understanding of how changes in white matter may lead to better treatment. RECENT FINDINGS Recent studies establish white matter changes at illness onset, and quite possibly before, wherein they constitute a risk factor. Some studies also suggest that white matter changes might not progress over time, even without treatment. Further, while genetic risk may be associated with neurodevelopmental changes related to either white matter geometry, or a different trajectory of aging, clinical risk may also be associated with more acute changes of tissue integrity. These latter changes may be inflammatory in nature at illness onset, and related to the cellular integrity of oligodendrocytes and/or astrocytes at later stages of illness. SUMMARY Recent publications suggest new directions for research and lead to new hypotheses about the pathophysiology of schizophrenia involving white matter. When replicated on larger samples, this knowledge will likely lead to the development of new treatment strategies.
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Leroux E, Delcroix N, Alary M, Razafimandimby A, Brazo P, Delamillieure P, Dollfus S. Functional and white matter abnormalities in the language network in patients with schizophrenia: a combined study with diffusion tensor imaging and functional magnetic resonance imaging. Schizophr Res 2013; 150:93-100. [PMID: 23916391 DOI: 10.1016/j.schres.2013.07.016] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/08/2013] [Revised: 06/14/2013] [Accepted: 07/05/2013] [Indexed: 01/14/2023]
Abstract
BACKGROUND Schizophrenia is a mental disorder characterized by functional abnormalities in the language network. Anatomical white matter (WM) abnormalities (volume and integrity) have also been reported for this pathology. Nevertheless, few studies have investigated anatomo-functional relationships in schizophrenia, and none has focused on the language comprehension network in relation to various diffusion parameters. We hypothesized that the WM abnormalities that are reflected by several diffusion parameters underlie functional deficits in the language network. METHODS Eighteen DSM-IV patients with schizophrenia and 18 healthy controls without any significant differences in sex, age, or level of education were included. First, functional brain activation within the language network was estimated. Then, using diffusion tensor imaging, fractional anisotropy (FA), radial diffusivity (RD), and mean diffusivity (MD) values were extracted within WM regions adjacent to this network and their anatomo-functional relationships were investigated. RESULTS Compared with healthy participants, both functional and diffusion deficits were observed in patients with schizophrenia. Primarily, an altered diffusion-functional relationship was observed in patients in the left middle temporal region: functional activations were positively correlated with FA, but were negatively correlated with RD. CONCLUSIONS Our findings indicate a close relationship between diffusion and functional deficits in patients with schizophrenia, suggesting that WM integrity disturbance might be one cause of functional alterations in the language network in patients with schizophrenia. Thus, the present multimodal study improves our understanding of the pathophysiology of schizophrenia.
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Affiliation(s)
- Elise Leroux
- CHU de Caen, Service de Psychiatrie, Centre Esquirol, Caen, F-14000, France; CNRS, UMR 6301 ISTCT, ISTS team, GIP CYCERON, Bd Henri Becquerel, BP5229, F-14074 Caen cedex, France.
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Aine CJ, Sanfratello L, Adair JC, Knoefel JE, Qualls C, Lundy SL, Caprihan A, Stone D, Stephen JM. Characterization of a normal control group: are they healthy? Neuroimage 2013; 84:796-809. [PMID: 24060318 DOI: 10.1016/j.neuroimage.2013.09.025] [Citation(s) in RCA: 10] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/12/2013] [Revised: 08/28/2013] [Accepted: 09/12/2013] [Indexed: 10/26/2022] Open
Abstract
We examined the health of a control group (18-81years) in our aging study, which is similar to control groups used in other neuroimaging studies. The current study was motivated by our previous results showing that one third of the elder control group had moderate to severe white matter hyperintensities and/or cortical volume loss which correlated with poor performance on memory tasks. Therefore, we predicted that cardiovascular risk factors (e.g., hypertension, high cholesterol) within the control group would account for significant variance on working memory task performance. Fifty-five participants completed 4 verbal and spatial working memory tasks, neuropsychological exams, diffusion tensor imaging (DTI), and blood tests to assess vascular risk. In addition to using a repeated measures ANOVA design, a cluster analysis was applied to the vascular risk measures as a data reduction step to characterize relationships between conjoint risk factors. The cluster groupings were used to predict working memory performance. The results show that higher levels of systolic blood pressure were associated with: 1) poor spatial working memory accuracy; and 2) lower fractional anisotropy (FA) values in multiple brain regions. In contrast, higher levels of total cholesterol corresponded with increased accuracy in verbal working memory. An association between lower FA values and higher cholesterol levels were identified in different brain regions from those associated with systolic blood pressure. The conjoint risk analysis revealed that Risk Cluster Group 3 (the group with the greatest number of risk factors) displayed: 1) the poorest performance on the spatial working memory tasks; 2) the longest reaction times across both spatial and verbal memory tasks; and 3) the lowest FA values across widespread brain regions. Our results confirm that a considerable range of vascular risk factors are present in a typical control group, even in younger individuals, which have robust effects on brain anatomy and function. These results present a new challenge to neuroimaging studies both for defining a cohort from which to characterize 'normative' brain circuitry and for establishing a control group to compare with other clinical populations.
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Affiliation(s)
- C J Aine
- Department of Radiology, University of New Mexico Health Sciences Center, Albuquerque, NM 87131, USA.
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Kubicki M, Shenton ME, Maciejewski PK, Pelavin PE, Hawley KJ, Ballinger T, Swisher T, Jabbar GA, Thermenos HW, Keshavan MS, Seidman LJ, DeLisi LE. Decreased axial diffusivity within language connections: a possible biomarker of schizophrenia risk. Schizophr Res 2013; 148:67-73. [PMID: 23800617 PMCID: PMC3755869 DOI: 10.1016/j.schres.2013.06.014] [Citation(s) in RCA: 23] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/07/2013] [Revised: 05/27/2013] [Accepted: 06/03/2013] [Indexed: 10/26/2022]
Abstract
Siblings of patients diagnosed with schizophrenia are at elevated risk for developing this disorder. The nature of such risk associated with brain abnormalities, and whether such abnormalities are similar to those observed in schizophrenia, remain unclear. Deficits in language processing are frequently reported in increased risk populations. Interestingly, white matter pathology involving fronto-temporal language pathways, including arcuate fasciculus (AF), uncinate fasciculus (UF), and inferior occipitofrontal fasciculus (IOFF), are frequently reported in schizophrenia. In this study, high spatial and directional resolution diffusion MRI data was obtained on a 3T magnet from 33 subjects with increased familial risk for developing schizophrenia, and 28 control subjects. Diffusion tractography was performed to measure white matter integrity within AF, UF, and IOFF. To understand these abnormalities, Fractional Anisotropy (FA, a measure of tract integrity) and Trace (a measure of overall diffusion), were combined with more specific measures of axial diffusivity (AX, a putative measure of axonal integrity) and radial diffusivity (RD, a putative measure of myelin integrity). Results revealed a significant decrease in Trace within IOFF, and a significant decrease in AX in all tracts. FA and RD anomalies, frequently reported in schizophrenia, were not observed. Moreover, AX group effect was modulated by age, with increased risk subjects demonstrating a deviation from normal maturation trajectory. Findings suggest that familial risk for schizophrenia may be associated with abnormalities in axonal rather than myelin integrity, and possibly associated with disruptions in normal brain maturation. AX should be considered a possible biomarker of risk for developing schizophrenia.
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Affiliation(s)
- M Kubicki
- Psychiatry Neuroimaging Laboratory, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.
| | - ME Shenton
- Psychiatry Neuroimaging Laboratory, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, USA,VA Boston Healthcare System, Brockton, MA, United States
| | | | - PE Pelavin
- Psychiatry Neuroimaging Laboratory, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, USA
| | - KJ Hawley
- Psychiatry Neuroimaging Laboratory, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, USA
| | - T Ballinger
- Psychiatry Neuroimaging Laboratory, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, USA
| | - T Swisher
- Psychiatry Neuroimaging Laboratory, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, USA
| | - GA Jabbar
- Harvard Medical School, Boston, MA, USA
| | - HW Thermenos
- Harvard Medical School, Boston, MA, USA,Department of Psychiatry, Beth Israel Deaconess Medical Center, Boston, MA, USA; Massachusetts Mental Health Center Division of Public Psychiatry, Boston, MA, USA
| | - MS Keshavan
- Harvard Medical School, Boston, MA, USA,Department of Psychiatry, Beth Israel Deaconess Medical Center, Boston, MA, USA; Massachusetts Mental Health Center Division of Public Psychiatry, Boston, MA, USA
| | - LJ Seidman
- Harvard Medical School, Boston, MA, USA,Department of Psychiatry, Massachusetts General Hospital, Boston, MA, USA,Department of Psychiatry, Beth Israel Deaconess Medical Center, Boston, MA, USA; Massachusetts Mental Health Center Division of Public Psychiatry, Boston, MA, USA
| | - LE DeLisi
- VA Boston Healthcare System, Brockton, MA, United States,Harvard Medical School, Boston, MA, USA
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Improving myelin/oligodendrocyte-related dysfunction: a new mechanism of antipsychotics in the treatment of schizophrenia? Int J Neuropsychopharmacol 2013; 16:691-700. [PMID: 23164411 DOI: 10.1017/s1461145712001095] [Citation(s) in RCA: 29] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/24/2022] Open
Abstract
Schizophrenia is a severe psychiatric disorder with complex clinical manifestations and its aetiological factors remain unclear. During the past decade, the oligodendrocyte-related myelin dysfunction was proposed as a hypothesis for schizophrenia, supported initially by a series of neuroimaging studies and genetic evidence. Recently, the effects of antipsychotics on myelination and oligodendroglial lineage development and their underlying molecular mechanisms were evaluated. Data from those studies suggest that the antipsychotics-resulting improvement in myelin/oligodendrocyte-related dysfunction may contribute, at least in part, to their therapeutic effect on schizophrenia. Importantly, these findings may provide the basis for a new insight into the therapeutic strategy by targeting the oligodendroglia lineage cells against schizophrenia.
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Miao W, Li J, Tang M, Xian J, Li W, Liu Z, Liu S, Sabel BA, Wang Z, He H. Altered white matter integrity in adolescents with prelingual deafness: a high-resolution tract-based spatial statistics imaging study. AJNR Am J Neuroradiol 2012; 34:1264-70. [PMID: 23275596 DOI: 10.3174/ajnr.a3370] [Citation(s) in RCA: 43] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
BACKGROUND AND PURPOSE Prelingual deafness is a hearing loss that occurs before language is acquired and may result in brain structural alterations. We studied microstructural WM alterations in prelingually deaf adolescents by using DTI. We hypothesized that any morphologic alterations are mainly located in the auditory association areas. Furthermore, considering that the developing brain is both more vulnerable to deprivation and more plastic than the adult brain, we speculated that the affected areas should be larger than those previously reported in adult deafness. MATERIALS AND METHODS Diffusion tensor images were obtained from 16 prelingually deaf adolescents (age range, 10-18 years) and 16 healthy control adolescents matched for age and sex. Both groups were compared in fractional anisotropy and radial diffusivity by tract-based spatial statistics. In addition, we examined the correlation between the structural data (FA, RD) differences and the duration of sign language use and hearing aid experience. RESULTS Prelingually deaf adolescents had significantly lower FA and increased RD in the bilateral superior temporal gyri, Heschl gyrus, planum polare, and the splenium of the corpus callosum. Only RD values in the right superior temporal gyrus correlated significantly and negatively (r = -0.518; P = .040) with duration of sign language use. These alterations were larger than those previously reported in adult deafness. CONCLUSIONS As expected, we found severe morphologic changes of decreased FA and increased RD in multiple auditory association areas and in the corpus callosum. These changes are signs of development impairments in prelingually deaf adolescents, possibly reflecting axonal loss or lack of myelination.
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Affiliation(s)
- W Miao
- State Key Laboratory of Management and Control for Complex Systems, Institute of Automation, Chinese Academy of Sciences, Beijing, China
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