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Tanaka R, Yamada K. Genomic and Reverse Translational Analysis Discloses a Role for Small GTPase RhoA Signaling in the Pathogenesis of Schizophrenia: Rho-Kinase as a Novel Drug Target. Int J Mol Sci 2023; 24:15623. [PMID: 37958606 PMCID: PMC10648424 DOI: 10.3390/ijms242115623] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/30/2023] [Revised: 10/18/2023] [Accepted: 10/24/2023] [Indexed: 11/15/2023] Open
Abstract
Schizophrenia is one of the most serious psychiatric disorders and is characterized by reductions in both brain volume and spine density in the frontal cortex. RhoA belongs to the RAS homolog (Rho) family and plays critical roles in neuronal development and structural plasticity via Rho-kinase. RhoA activity is regulated by GTPase-activating proteins (GAPs) and guanine nucleotide exchange factors (GEFs). Several variants in GAPs and GEFs associated with RhoA have been reported to be significantly associated with schizophrenia. Moreover, several mouse models carrying schizophrenia-associated gene variants involved in RhoA/Rho-kinase signaling have been developed. In this review, we summarize clinical evidence showing that variants in genes regulating RhoA activity are associated with schizophrenia. In the last half of the review, we discuss preclinical evidence indicating that RhoA/Rho-kinase is a potential therapeutic target of schizophrenia. In particular, Rho-kinase inhibitors exhibit anti-psychotic-like effects not only in Arhgap10 S490P/NHEJ mice, but also in pharmacologic models of schizophrenia (methamphetamine- and MK-801-treated mice). Accordingly, we propose that Rho-kinase inhibitors may have antipsychotic effects and reduce cognitive deficits in schizophrenia despite the presence or absence of genetic variants in small GTPase signaling pathways.
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Affiliation(s)
- Rinako Tanaka
- Department of Neuropsychopharmacology and Hospital Pharmacy, Graduate School of Medicine, Nagoya University, Nagoya 466-8560, Japan;
| | - Kiyofumi Yamada
- Department of Neuropsychopharmacology and Hospital Pharmacy, Graduate School of Medicine, Nagoya University, Nagoya 466-8560, Japan;
- International Center for Brain Science (ICBS), Fujita Health University, Toyoake 470-1192, Japan
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2
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Silva AI, Ehrhart F, Ulfarsson MO, Stefansson H, Stefansson K, Wilkinson LS, Hall J, Linden DEJ. Neuroimaging Findings in Neurodevelopmental Copy Number Variants: Identifying Molecular Pathways to Convergent Phenotypes. Biol Psychiatry 2022; 92:341-361. [PMID: 35659384 DOI: 10.1016/j.biopsych.2022.03.018] [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: 09/14/2021] [Revised: 03/22/2022] [Accepted: 03/25/2022] [Indexed: 12/15/2022]
Abstract
Genomic copy number variants (CNVs) are associated with a high risk of neurodevelopmental disorders. A growing body of genetic studies suggests that these high-risk genetic variants converge in common molecular pathways and that common pathways also exist across clinically distinct disorders, such as schizophrenia and autism spectrum disorder. A key question is how common molecular mechanisms converge into similar clinical outcomes. We review emerging evidence for convergent cognitive and brain phenotypes across distinct CNVs. Multiple CNVs were shown to have similar effects on core sensory, cognitive, and motor traits. Emerging data from multisite neuroimaging studies have provided valuable information on how these CNVs affect brain structure and function. However, most of these studies examined one CNV at a time, making it difficult to fully understand the proportion of shared brain effects. Recent studies have started to combine neuroimaging data from multiple CNV carriers and identified similar brain effects across CNVs. Some early findings also support convergence in CNV animal models. Systems biology, through integration of multilevel data, provides new insights into convergent molecular mechanisms across genetic risk variants (e.g., altered synaptic activity). However, the link between such key molecular mechanisms and convergent psychiatric phenotypes is still unknown. To better understand this link, we need new approaches that integrate human molecular data with neuroimaging, cognitive, and animal model data, while taking into account critical developmental time points. Identifying risk mechanisms across genetic loci can elucidate the pathophysiology of neurodevelopmental disorders and identify new therapeutic targets for cross-disorder applications.
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Affiliation(s)
- Ana I Silva
- Department of Psychiatry and Neuropsychology, School for Mental Health and Neuroscience, Faculty of Health, Medicine and Life Sciences, Maastricht University, Maastricht, The Netherlands; Neuroscience and Mental Health Research Institute, MRC Centre for Neuropsychiatric Genetics and Genomics, Cardiff University, Cardiff, United Kingdom.
| | - Friederike Ehrhart
- Department of Bioinformatics, NUTRIM School of Nutrition and Translational Research in Metabolism, Maastricht University, Maastricht, The Netherlands
| | - Magnus O Ulfarsson
- deCODE genetics, Amgen, Reykjavik, Iceland; Faculty of Electrical and Computer Engineering, University of Iceland, Reykjavik, Iceland
| | | | | | - Lawrence S Wilkinson
- Neuroscience and Mental Health Research Institute, MRC Centre for Neuropsychiatric Genetics and Genomics, Cardiff University, Cardiff, United Kingdom; School of Psychology, Cardiff University, Cardiff, United Kingdom
| | - Jeremy Hall
- Neuroscience and Mental Health Research Institute, MRC Centre for Neuropsychiatric Genetics and Genomics, Cardiff University, Cardiff, United Kingdom
| | - David E J Linden
- Department of Psychiatry and Neuropsychology, School for Mental Health and Neuroscience, Faculty of Health, Medicine and Life Sciences, Maastricht University, Maastricht, The Netherlands; Neuroscience and Mental Health Research Institute, MRC Centre for Neuropsychiatric Genetics and Genomics, Cardiff University, Cardiff, United Kingdom.
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3
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Valdés-Tovar M, Rodríguez-Ramírez AM, Rodríguez-Cárdenas L, Sotelo-Ramírez CE, Camarena B, Sanabrais-Jiménez MA, Solís-Chagoyán H, Argueta J, López-Riquelme GO. Insights into myelin dysfunction in schizophrenia and bipolar disorder. World J Psychiatry 2022; 12:264-285. [PMID: 35317338 PMCID: PMC8900585 DOI: 10.5498/wjp.v12.i2.264] [Citation(s) in RCA: 13] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/31/2021] [Revised: 08/10/2021] [Accepted: 01/17/2022] [Indexed: 02/06/2023] Open
Abstract
Schizophrenia and bipolar disorder are disabling psychiatric disorders with a worldwide prevalence of approximately 1%. Both disorders present chronic and deteriorating prognoses that impose a large burden, not only on patients but also on society and health systems. These mental illnesses share several clinical and neurobiological traits; of these traits, oligodendroglial dysfunction and alterations to white matter (WM) tracts could underlie the disconnection between brain regions related to their symptomatic domains. WM is mainly composed of heavily myelinated axons and glial cells. Myelin internodes are discrete axon-wrapping membrane sheaths formed by oligodendrocyte processes. Myelin ensheathment allows fast and efficient conduction of nerve impulses through the nodes of Ranvier, improving the overall function of neuronal circuits. Rapid and precisely synchronized nerve impulse conduction through fibers that connect distant brain structures is crucial for higher-level functions, such as cognition, memory, mood, and language. Several cellular and subcellular anomalies related to myelin and oligodendrocytes have been found in postmortem samples from patients with schizophrenia or bipolar disorder, and neuroimaging techniques have revealed consistent alterations at the macroscale connectomic level in both disorders. In this work, evidence regarding these multilevel alterations in oligodendrocytes and myelinated tracts is discussed, and the involvement of proteins in key functions of the oligodendroglial lineage, such as oligodendrogenesis and myelination, is highlighted. The molecular components of the axo-myelin unit could be important targets for novel therapeutic approaches to schizophrenia and bipolar disorder.
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Affiliation(s)
- Marcela Valdés-Tovar
- Departamento de Farmacogenética, Subdirección de Investigaciones Clínicas, Instituto Nacional de Psiquiatría Ramón de la Fuente Muñiz, Mexico City 14370, Mexico
| | | | - Leslye Rodríguez-Cárdenas
- Departamento de Farmacogenética, Instituto Nacional de Psiquiatría Ramón de la Fuente Muñiz, Mexico City 14370, Mexico
| | - Carlo E Sotelo-Ramírez
- Departamento de Farmacogenética, Instituto Nacional de Psiquiatría Ramón de la Fuente Muñiz, Mexico City 14370, Mexico
- Doctorado en Biología Experimental, Universidad Autónoma Metropolitana-Iztapalapa, Mexico City 09340, Mexico
| | - Beatriz Camarena
- Departamento de Farmacogenética, Instituto Nacional de Psiquiatría Ramón de la Fuente Muñiz, Mexico City 14370, Mexico
| | | | - Héctor Solís-Chagoyán
- Laboratorio de Neurofarmacología, Instituto Nacional de Psiquiatría Ramón de la Fuente Muñiz, Mexico City 14370, Mexico
| | - Jesús Argueta
- Doctorado en Biología Experimental, Universidad Autónoma Metropolitana-Iztapalapa, Mexico City 09340, Mexico
- Laboratorio de Neurofarmacología, Instituto Nacional de Psiquiatría Ramón de la Fuente Muñiz, Mexico City 14370, Mexico
| | - Germán Octavio López-Riquelme
- Laboratorio de Socioneurobiología, Centro de Investigación en Ciencias Cognitivas, Universidad del Estado de Morelos, Cuernavaca 62209, Morelos, Mexico
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4
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Seitz-Holland J, Lyons M, Kushan L, Lin A, Villalon-Reina JE, Cho KIK, Zhang F, Billah T, Bouix S, Kubicki M, Bearden CE, Pasternak O. Opposing white matter microstructure abnormalities in 22q11.2 deletion and duplication carriers. Transl Psychiatry 2021; 11:580. [PMID: 34759270 PMCID: PMC8581007 DOI: 10.1038/s41398-021-01703-1] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/01/2020] [Revised: 09/30/2021] [Accepted: 10/15/2021] [Indexed: 12/20/2022] Open
Abstract
Deletions and duplications at the 22q11.2 locus are associated with significant neurodevelopmental and psychiatric morbidity. Previous diffusion-weighted magnetic resonance imaging (MRI) studies in 22q11.2 deletion carriers (22q-del) found nonspecific white matter (WM) abnormalities, characterized by higher fractional anisotropy. Here, utilizing novel imaging and processing methods that allow separation of signal contribution from different tissue properties, we investigate whether higher anisotropy is driven by (1) extracellular changes, (2) selective degeneration of secondary fibers, or (3) volumetric differences. We further, for the first time, investigate WM microstructure in 22q11.2 duplication carriers (22q-dup). Multi-shell diffusion-weighted images were acquired from 26 22q-del, 19 22q-dup, and 18 healthy individuals (HC). Images were fitted with the free-water model to estimate anisotropy following extracellular free-water elimination and with the novel BedpostX model to estimate fractional volumes of primary and secondary fiber populations. Outcome measures were compared between groups, with and without correction for WM and cerebrospinal fluid (CSF) volumes. In 22q-del, anisotropy following free-water elimination remained significantly higher compared with controls. BedpostX did not identify selective secondary fiber degeneration. Higher anisotropy diminished when correcting for the higher CSF and lower WM volumes. In contrast, 22q-dup had lower anisotropy and greater extracellular space than HC, not influenced by macrostructural volumes. Our findings demonstrate opposing effects of reciprocal 22q11.2 copy-number variation on WM, which may arise from distinct pathologies. In 22q-del, microstructural abnormalities may be secondary to enlarged CSF space and more densely packed WM. In 22q-dup, we see evidence for demyelination similar to what is commonly observed in neuropsychiatric disorders.
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Affiliation(s)
- Johanna Seitz-Holland
- Department of Psychiatry, Brigham and Women's Hospital, Harvard Medical School, Boston, 02115, MA, USA.
| | - Monica Lyons
- Department of Psychiatry, Brigham and Women's Hospital, Harvard Medical School, Boston, 02115, MA, USA
| | - Leila Kushan
- Department of Psychiatry and Biobehavioral Sciences, Semel Institute for Neuroscience and Human Behavior, University of California at Los Angeles, Los Angeles, 90095, CA, USA
| | - Amy Lin
- Department of Psychiatry and Biobehavioral Sciences, Semel Institute for Neuroscience and Human Behavior, University of California at Los Angeles, Los Angeles, 90095, CA, USA
| | - Julio E Villalon-Reina
- Department of Psychiatry and Biobehavioral Sciences, Semel Institute for Neuroscience and Human Behavior, University of California at Los Angeles, Los Angeles, 90095, CA, USA
| | - Kang Ik Kevin Cho
- Department of Psychiatry, Brigham and Women's Hospital, Harvard Medical School, Boston, 02115, MA, USA
| | - Fan Zhang
- Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, 02115, MA, USA
| | - Tashrif Billah
- Department of Psychiatry, Brigham and Women's Hospital, Harvard Medical School, Boston, 02115, MA, USA
| | - Sylvain Bouix
- Department of Psychiatry, Brigham and Women's Hospital, Harvard Medical School, Boston, 02115, MA, USA
| | - Marek Kubicki
- Department of Psychiatry, Brigham and Women's Hospital, Harvard Medical School, Boston, 02115, MA, USA
- Department of Psychiatry, Massachusetts General Hospital, Harvard Medical School, Boston, 02114, MA, USA
- Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, 02115, MA, 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, 90095, CA, USA
- Department of Psychology, University of California at Los Angeles, Los Angeles, 90095, CA, USA
| | - Ofer Pasternak
- Department of Psychiatry, Brigham and Women's Hospital, Harvard Medical School, Boston, 02115, MA, USA
- Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, 02115, MA, USA
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5
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Brain microstructural abnormalities in 22q11.2 deletion syndrome: A systematic review of diffusion tensor imaging studies. Eur Neuropsychopharmacol 2021; 52:96-135. [PMID: 34358796 DOI: 10.1016/j.euroneuro.2021.07.004] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/22/2021] [Revised: 07/06/2021] [Accepted: 07/12/2021] [Indexed: 01/16/2023]
Abstract
22q11.2 deletion syndrome (22q11DS) is a severe genetic syndrome characterized by cognitive deficits and neuropsychiatric disorders, particularly schizophrenia. Neuroimaging alterations have been extensively reported in 22q11DS, both in gray and white matter structures. However, a considerable variability among the results affects the generalizability of the findings to date. Herein, we reviewed diffusion tensor imaging (DTI) findings in 22q11DS, their association with psychosis and cognition, and the implications of DTI studies on neurodevelopment in 22q11DS. We also investigated differences between 22q11DS and schizophrenic patients without 22q11DS. Using an online search of PubMed and Embase, we identified studies investigating DTI findings in 22q11DS. After selecting eligible studies in accordance with the preferred reporting items for systematic reviews and meta-analyses guideline, we included thirty-one studies. Overall, 22q11DS patients show altered structural connectivity and disrupted microstructural organization of most cortical and subcortical structures and white matter tracts. Moreover, despite a significant heterogeneity in the results, reduced diffusivity measures and elevated fractional anisotropy were observed. However controversial, compared to typically developing children, 22q11DS patients reached the peak of fractional anisotropy (FA) and the trough of radial diffusivity (RD) at an older age, which shows neurodevelopmental delay. DTI measures were also associated with psychotic symptoms and cognitive deficits. In conclusion, this study provides a comprehensive review of microstructural alterations in 22q11DS. Future larger investigations on this syndrome could potentially lead to the detection of early diagnostic imaging markers for genetically induced schizophrenia, thus improving the treatment and, ultimately, the outcome.
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Tang X, Cheng H, Cheng L, Liang B, Chen M, Zheng X, Xiao F. An in-depth analysis reveals two new genetic variants on 22q11.2 associated with vitiligo in the Chinese Han population. Mol Biol Rep 2021; 48:5955-5964. [PMID: 34350550 DOI: 10.1007/s11033-021-06597-2] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/10/2021] [Accepted: 07/25/2021] [Indexed: 12/21/2022]
Abstract
BACKGROUND Vitiligo is a complex disease in which patchy depigmentation is the result of an autoimmune-induced loss of melanocytes in affected regions. On the basis of a genome-wide linkage analysis of vitiligo in the Chinese Han population, we previously showed significant evidence of a linkage between 22q12 and vitiligo. Our aim in the current study was to identify vitiligo susceptibility variants within an expanded region of the 22q12 locus. METHODS AND RESULTS An in-depth analysis of the expanded region of the 22q12 locus was performed by imputation using a large GWAS dataset consisting of 1117 cases and 1701 controls. Eight nominal SNPs were selected and genotyped in an independent cohort of Chinese Han individuals (2069 patients and 1370 control individuals) by using the Sequenom MassArray iPLEX1 system. The data were analyzed with PLINK 1.07 software. The C allele of rs730669 located in ZDHHC8/RTN4R showed a strong association with vitiligo (P = 3.25 × 10-8, OR = 0.81). The C allele of rs4820338 located in VPREB1 and the A allele of rs2051582 (a SNP reported in our previous study) located in IL2RB showed a suggestive association with vitiligo (P = 1.04 × 10-5, OR = 0.86; P = 1.78 × 10-6, OR = 1.27). The three identified SNPs showed independent associations with vitiligo in a conditional logistic regression analysis (all P < 1.0 × 10-5; all D' < 0.05 and r2 < 1.0 × 10-4). CONCLUSIONS The study reveals that two novel variants rs730669 (ZDHHC8/RTN4R) and rs4820338 (VPREB1) on 22q11.2 might confer susceptibility to vitiligo and affect disease subphenotypes. The presence of multiple independent variants emphasizes their important roles in the genetic pathogenesis of disease.
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Affiliation(s)
- Xianfa Tang
- Department of Dermatology and Institute of Dermatology at No. 1 Hospital, Anhui Medical University, 81 Meishan Road, Hefei, Anhui, China
- Key Laboratory of Dermatology, Ministry of Education, Hefei, China
- Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, China
| | - Hui Cheng
- Department of Dermatology and Institute of Dermatology at No. 1 Hospital, Anhui Medical University, 81 Meishan Road, Hefei, Anhui, China
- Key Laboratory of Dermatology, Ministry of Education, Hefei, China
- Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, China
| | - Lu Cheng
- Department of Dermatology and Institute of Dermatology at No. 1 Hospital, Anhui Medical University, 81 Meishan Road, Hefei, Anhui, China
- Key Laboratory of Dermatology, Ministry of Education, Hefei, China
- Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, China
| | - Bo Liang
- Department of Dermatology and Institute of Dermatology at No. 1 Hospital, Anhui Medical University, 81 Meishan Road, Hefei, Anhui, China
- Key Laboratory of Dermatology, Ministry of Education, Hefei, China
- Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, China
| | - Mengyun Chen
- Department of Dermatology and Institute of Dermatology at No. 1 Hospital, Anhui Medical University, 81 Meishan Road, Hefei, Anhui, China
- Key Laboratory of Dermatology, Ministry of Education, Hefei, China
- Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, China
| | - Xiaodong Zheng
- Department of Dermatology and Institute of Dermatology at No. 1 Hospital, Anhui Medical University, 81 Meishan Road, Hefei, Anhui, China
- Key Laboratory of Dermatology, Ministry of Education, Hefei, China
- Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, China
| | - Fengli Xiao
- Department of Dermatology and Institute of Dermatology at No. 1 Hospital, Anhui Medical University, 81 Meishan Road, Hefei, Anhui, China.
- Key Laboratory of Dermatology, Ministry of Education, Hefei, China.
- Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, China.
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7
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Shekari E, Goudarzi S, Shahriari E, Joghataei MT. Extreme capsule is a bottleneck for ventral pathway. IBRO Neurosci Rep 2021; 10:42-50. [PMID: 33861816 PMCID: PMC8019950 DOI: 10.1016/j.ibneur.2020.11.002] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/29/2020] [Accepted: 11/30/2020] [Indexed: 11/25/2022] Open
Abstract
As neuroscience literature suggests, extreme capsule is considered a whiter matter tract. Nevertheless, it is not clear whether extreme capsule itself is an association fiber pathway or only a bottleneck for other association fibers to pass. Via our review, investigating anatomical position, connectivity and cognitive role of the bundles in extreme capsule, and by analyzing data from the dissection, it can be argued that extreme capsule is probably a bottleneck for the passage of uncinated fasciculus (UF) and inferior fronto-occipital fasciculus (IFOF), and these fasciculi are responsible for the respective roles in language processing.
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Affiliation(s)
- Ehsan Shekari
- Department of Advanced Technologies in Medicine, Iran University of Medical Science, Tehran, Iran
| | - Sepideh Goudarzi
- Department of pharmacology, Faculty of Pharmacy, Tehran University of Medical Sciences, Tehran, Iran
| | - Elahe Shahriari
- Department of Physiology, Faculty of Medicine, Iran University of Medical Science, Tehran, Iran
| | - Mohammad Taghi Joghataei
- Department of Advanced Technologies in Medicine, Iran University of Medical Science, Tehran, Iran
- Corresponding author.
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8
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Villalón-Reina JE, Martínez K, Qu X, Ching CRK, Nir TM, Kothapalli D, Corbin C, Sun D, Lin A, Forsyth JK, Kushan L, Vajdi A, Jalbrzikowski M, Hansen L, Jonas RK, van Amelsvoort T, Bakker G, Kates WR, Antshel KM, Fremont W, Campbell LE, McCabe KL, Daly E, Gudbrandsen M, Murphy CM, Murphy D, Craig M, Emanuel B, McDonald-McGinn DM, Vorstman JA, Fiksinski AM, Koops S, Ruparel K, Roalf D, Gur RE, Eric Schmitt J, Simon TJ, Goodrich-Hunsaker NJ, Durdle CA, Doherty JL, Cunningham AC, van den Bree M, Linden DEJ, Owen M, Moss H, Kelly S, Donohoe G, Murphy KC, Arango C, Jahanshad N, Thompson PM, Bearden CE. Altered white matter microstructure in 22q11.2 deletion syndrome: a multisite diffusion tensor imaging study. Mol Psychiatry 2020; 25:2818-2831. [PMID: 31358905 PMCID: PMC6986984 DOI: 10.1038/s41380-019-0450-0] [Citation(s) in RCA: 42] [Impact Index Per Article: 10.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/07/2018] [Revised: 03/09/2019] [Accepted: 04/03/2019] [Indexed: 02/06/2023]
Abstract
22q11.2 deletion syndrome (22q11DS)-a neurodevelopmental condition caused by a hemizygous deletion on chromosome 22-is associated with an elevated risk of psychosis and other developmental brain disorders. Prior single-site diffusion magnetic resonance imaging (dMRI) studies have reported altered white matter (WM) microstructure in 22q11DS, but small samples and variable methods have led to contradictory results. Here we present the largest study ever conducted of dMRI-derived measures of WM microstructure in 22q11DS (334 22q11.2 deletion carriers and 260 healthy age- and sex-matched controls; age range 6-52 years). Using harmonization protocols developed by the ENIGMA-DTI working group, we identified widespread reductions in mean, axial and radial diffusivities in 22q11DS, most pronounced in regions with major cortico-cortical and cortico-thalamic fibers: the corona radiata, corpus callosum, superior longitudinal fasciculus, posterior thalamic radiations, and sagittal stratum (Cohen's d's ranging from -0.9 to -1.3). Only the posterior limb of the internal capsule (IC), comprised primarily of corticofugal fibers, showed higher axial diffusivity in 22q11DS. 22q11DS patients showed higher mean fractional anisotropy (FA) in callosal and projection fibers (IC and corona radiata) relative to controls, but lower FA than controls in regions with predominantly association fibers. Psychotic illness in 22q11DS was associated with more substantial diffusivity reductions in multiple regions. Overall, these findings indicate large effects of the 22q11.2 deletion on WM microstructure, especially in major cortico-cortical connections. Taken together with findings from animal models, this pattern of abnormalities may reflect disrupted neurogenesis of projection neurons in outer cortical layers.
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Affiliation(s)
- Julio E. Villalón-Reina
- grid.42505.360000 0001 2156 6853Imaging Genetics Center, Mark and Mary Stevens Neuroimaging & Informatics Institute, Keck School of Medicine of the University of Southern California, Marina del Rey, CA USA
| | - Kenia Martínez
- Department of Child and Adolescent Psychiatry, Hospital General Universitario Gregorio Marañón, Universidad Complutense, School of Medicine, IiSGM, Madrid, Spain ,grid.469673.90000 0004 5901 7501Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Madrid, Spain ,grid.119375.80000000121738416Universidad Europea de Madrid, Madrid, Spain
| | - Xiaoping Qu
- grid.42505.360000 0001 2156 6853Imaging Genetics Center, Mark and Mary Stevens Neuroimaging & Informatics Institute, Keck School of Medicine of the University of Southern California, Marina del Rey, CA USA
| | - Christopher R. K. Ching
- grid.42505.360000 0001 2156 6853Imaging Genetics Center, Mark and Mary Stevens Neuroimaging & Informatics Institute, Keck School of Medicine of the University of Southern California, Marina del Rey, CA USA ,grid.19006.3e0000 0000 9632 6718Department of Psychiatry and Biobehavioral Sciences, Semel Institute for Neuroscience and Human Behavior, University of California at Los Angeles, Los Angeles, CA USA
| | - Talia M. Nir
- grid.42505.360000 0001 2156 6853Imaging Genetics Center, Mark and Mary Stevens Neuroimaging & Informatics Institute, Keck School of Medicine of the University of Southern California, Marina del Rey, CA USA
| | - Deydeep Kothapalli
- grid.42505.360000 0001 2156 6853Imaging Genetics Center, Mark and Mary Stevens Neuroimaging & Informatics Institute, Keck School of Medicine of the University of Southern California, Marina del Rey, CA USA
| | - Conor Corbin
- grid.42505.360000 0001 2156 6853Imaging Genetics Center, Mark and Mary Stevens Neuroimaging & Informatics Institute, Keck School of Medicine of the University of Southern California, Marina del Rey, CA USA
| | - Daqiang Sun
- grid.19006.3e0000 0000 9632 6718Department of Psychiatry and Biobehavioral Sciences, Semel Institute for Neuroscience and Human Behavior, University of California at Los Angeles, Los Angeles, CA USA ,grid.417119.b0000 0001 0384 5381Department of Mental Health, Veterans Affairs Greater Los Angeles Healthcare System, Los Angeles, CA USA
| | - Amy Lin
- grid.19006.3e0000 0000 9632 6718Department of Psychiatry and Biobehavioral Sciences, Semel Institute for Neuroscience and Human Behavior, University of California at Los Angeles, Los Angeles, CA USA
| | - Jennifer K. Forsyth
- grid.19006.3e0000 0000 9632 6718Department of Psychiatry and Biobehavioral Sciences, Semel Institute for Neuroscience and Human Behavior, University of California at Los Angeles, Los Angeles, CA USA ,grid.19006.3e0000 0000 9632 6718Department of Psychology, University of California at Los Angeles, Los Angeles, CA USA
| | - Leila Kushan
- grid.19006.3e0000 0000 9632 6718Department of Psychiatry and Biobehavioral Sciences, Semel Institute for Neuroscience and Human Behavior, University of California at Los Angeles, Los Angeles, CA USA
| | - Ariana Vajdi
- grid.19006.3e0000 0000 9632 6718Department of Psychiatry and Biobehavioral Sciences, Semel Institute for Neuroscience and Human Behavior, University of California at Los Angeles, Los Angeles, CA USA
| | - Maria Jalbrzikowski
- grid.21925.3d0000 0004 1936 9000Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA USA
| | - Laura Hansen
- grid.19006.3e0000 0000 9632 6718Department of Psychiatry and Biobehavioral Sciences, Semel Institute for Neuroscience and Human Behavior, University of California at Los Angeles, Los Angeles, CA USA
| | - Rachel K. Jonas
- grid.19006.3e0000 0000 9632 6718Department of Psychiatry and Biobehavioral Sciences, Semel Institute for Neuroscience and Human Behavior, University of California at Los Angeles, Los Angeles, CA USA
| | - Therese van Amelsvoort
- grid.5012.60000 0001 0481 6099Department of Psychiatry & Neuropsychology, Maastricht University, Maastricht, Netherlands
| | - Geor Bakker
- grid.5012.60000 0001 0481 6099Department of Psychiatry & Neuropsychology, Maastricht University, Maastricht, Netherlands
| | - Wendy R. Kates
- grid.411023.50000 0000 9159 4457Department of Psychiatry and Behavioral Sciences, State University of New York, Upstate Medical University, Syracuse, NY USA
| | - Kevin M. Antshel
- grid.264484.80000 0001 2189 1568Department of Psychology, Syracuse University, Syracuse, NY USA
| | - Wanda Fremont
- grid.411023.50000 0000 9159 4457Department of Psychiatry and Behavioral Sciences, State University of New York, Upstate Medical University, Syracuse, NY USA
| | - Linda E. Campbell
- grid.266842.c0000 0000 8831 109XPriority Research Centre GrowUpWell, University of Newcastle, Newcastle, Australia ,grid.266842.c0000 0000 8831 109XSchool of Psychology, University of Newcastle, Newcastle, Australia
| | - Kathryn L. McCabe
- grid.266842.c0000 0000 8831 109XSchool of Psychology, University of Newcastle, Newcastle, Australia ,grid.27860.3b0000 0004 1936 9684UC Davis MIND Institute and Department of Psychiatry and Behavioral Sciences, Davis, CA USA
| | - Eileen Daly
- grid.13097.3c0000 0001 2322 6764Sackler Institute for Translational Neurodevelopment and Department of Forensic and Neurodevelopmental Sciences, King’s College London, Institute of Psychiatry, Psychology & Neuroscience, London, UK
| | - Maria Gudbrandsen
- grid.13097.3c0000 0001 2322 6764Sackler Institute for Translational Neurodevelopment and Department of Forensic and Neurodevelopmental Sciences, King’s College London, Institute of Psychiatry, Psychology & Neuroscience, London, UK
| | - Clodagh M. Murphy
- grid.13097.3c0000 0001 2322 6764Sackler Institute for Translational Neurodevelopment and Department of Forensic and Neurodevelopmental Sciences, King’s College London, Institute of Psychiatry, Psychology & Neuroscience, London, UK ,grid.451052.70000 0004 0581 2008Behavioural and Developmental Psychiatry Clinical Academic Group, Behavioural Genetics Clinic, National Adult Autism and ADHD Service, South London and Maudsley Foundation NHS Trust, London, UK
| | - Declan Murphy
- grid.13097.3c0000 0001 2322 6764Sackler Institute for Translational Neurodevelopment and Department of Forensic and Neurodevelopmental Sciences, King’s College London, Institute of Psychiatry, Psychology & Neuroscience, London, UK
| | - Michael Craig
- grid.13097.3c0000 0001 2322 6764Sackler Institute for Translational Neurodevelopment and Department of Forensic and Neurodevelopmental Sciences, King’s College London, Institute of Psychiatry, Psychology & Neuroscience, London, UK ,grid.415717.10000 0001 2324 5535National Autism Unit, Bethlem Royal Hospital, Bethlem, UK
| | - Beverly Emanuel
- grid.25879.310000 0004 1936 8972Division of Human Genetics, Children’s Hospital of Philadelphia, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA USA
| | - Donna M. McDonald-McGinn
- grid.25879.310000 0004 1936 8972Division of Human Genetics, Children’s Hospital of Philadelphia, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA USA
| | - Jacob A.S. Vorstman
- grid.7692.a0000000090126352Department of Psychiatry, Brain Center Rudolf Magnus, University Medical Center Utrecht, Utrecht, The Netherlands ,grid.42327.300000 0004 0473 9646Program in Genetics and Genome Biology, The Hospital for Sick Children, Toronto, ON Canada ,grid.17063.330000 0001 2157 2938Department of Psychiatry, University of Toronto, Toronto, ON Canada
| | - Ania M. Fiksinski
- grid.7692.a0000000090126352Department of Psychiatry, Rudolf Magnus Institute of Neuroscience, University Medical Center Utrecht, Utrecht, The Netherlands ,grid.155956.b0000 0000 8793 5925Clinical Genetics Research Program, Centre for Addiction and Mental Health, Toronto, ON Canada ,grid.231844.80000 0004 0474 0428The Dalglish Family 22q Clinic for 22q11.2 Deletion Syndrome, Toronto General Hospital, University Health Network, Toronto, ON Canada
| | - Sanne Koops
- grid.7692.a0000000090126352Department of Psychiatry, Brain Center Rudolf Magnus, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Kosha Ruparel
- grid.25879.310000 0004 1936 8972Department of Psychiatry, University of Pennsylvania, Philadelphia, PA USA
| | - David Roalf
- grid.25879.310000 0004 1936 8972Department of Psychiatry, University of Pennsylvania, Philadelphia, PA USA
| | - Raquel E. Gur
- grid.239552.a0000 0001 0680 8770Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania and Children’s Hospital of Philadelphia, Philadelphia, PA USA
| | - J. Eric Schmitt
- grid.25879.310000 0004 1936 8972Departments of Radiology and Psychiatry, University of Pennsylvania, Philadelphia, PA USA
| | - Tony J. Simon
- grid.27860.3b0000 0004 1936 9684UC Davis MIND Institute and Department of Psychiatry and Behavioral Sciences, Davis, CA USA
| | - Naomi J. Goodrich-Hunsaker
- grid.27860.3b0000 0004 1936 9684UC Davis MIND Institute and Department of Psychiatry and Behavioral Sciences, Davis, CA USA ,grid.253294.b0000 0004 1936 9115Brigham Young University, Provo, UT USA ,grid.223827.e0000 0001 2193 0096Department of Neurology, University of Utah, Salt Lake City, UT USA
| | - Courtney A. Durdle
- grid.27860.3b0000 0004 1936 9684UC Davis MIND Institute and Department of Psychiatry and Behavioral Sciences, Davis, CA USA
| | - Joanne L. Doherty
- grid.5600.30000 0001 0807 5670MRC Centre for Neuropsychiatric Genetics and Genomics, Division of Psychological Medicine and Clinical Neurosciences, Cardiff University, Cardiff, Wales UK ,grid.5600.30000 0001 0807 5670The Cardiff University Brain Research Imaging Centre (CUBRIC), Cardiff University, Cardiff, Wales UK
| | - Adam C. Cunningham
- grid.5600.30000 0001 0807 5670MRC Centre for Neuropsychiatric Genetics and Genomics, Division of Psychological Medicine and Clinical Neurosciences, Cardiff University, Cardiff, Wales UK
| | - Marianne van den Bree
- grid.5600.30000 0001 0807 5670MRC Centre for Neuropsychiatric Genetics and Genomics, Division of Psychological Medicine and Clinical Neurosciences, Cardiff University, Cardiff, Wales UK
| | - David E. J. Linden
- grid.5600.30000 0001 0807 5670MRC Centre for Neuropsychiatric Genetics and Genomics, Division of Psychological Medicine and Clinical Neurosciences, Cardiff University, Cardiff, Wales UK ,grid.5600.30000 0001 0807 5670The Cardiff University Brain Research Imaging Centre (CUBRIC), Cardiff University, Cardiff, Wales UK
| | - Michael Owen
- grid.5600.30000 0001 0807 5670MRC Centre for Neuropsychiatric Genetics and Genomics, Division of Psychological Medicine and Clinical Neurosciences, Cardiff University, Cardiff, Wales UK
| | - Hayley Moss
- grid.5600.30000 0001 0807 5670MRC Centre for Neuropsychiatric Genetics and Genomics, Division of Psychological Medicine and Clinical Neurosciences, Cardiff University, Cardiff, Wales UK
| | - Sinead Kelly
- grid.38142.3c000000041936754XDepartment of Psychiatry, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA USA
| | - Gary Donohoe
- grid.6142.10000 0004 0488 0789Centre for Neuroimaging and Cognitive Genomics (NICOG), Clinical Neuroimaging Laboratory, NCBES Galway Neuroscience Centre, National University of Ireland Galway, Galway, Ireland
| | - Kieran C. Murphy
- grid.4912.e0000 0004 0488 7120Department of Psychiatry, Royal College of Surgeons in Ireland, Dublin, Ireland
| | - Celso Arango
- Department of Child and Adolescent Psychiatry, Hospital General Universitario Gregorio Marañón, Universidad Complutense, School of Medicine, IiSGM, Madrid, Spain ,grid.469673.90000 0004 5901 7501Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Madrid, Spain ,grid.119375.80000000121738416Universidad Europea de Madrid, Madrid, Spain
| | - Neda Jahanshad
- Imaging Genetics Center, Mark and Mary Stevens Neuroimaging & Informatics Institute, Keck School of Medicine of the University of Southern California, Marina del Rey, CA, USA.
| | - Paul M. Thompson
- grid.42505.360000 0001 2156 6853Imaging Genetics Center, Mark and Mary Stevens Neuroimaging & Informatics Institute, Keck School of Medicine of the University of Southern California, Marina del Rey, CA USA ,grid.42505.360000 0001 2156 6853Departments of Neurology, Psychiatry, Radiology, Engineering, Pediatrics and Ophthalmology, University of Southern California, Los Angeles, CA USA
| | - Carrie E. Bearden
- grid.19006.3e0000 0000 9632 6718Department of Psychiatry and Biobehavioral Sciences, Semel Institute for Neuroscience and Human Behavior, University of California at Los Angeles, Los Angeles, CA USA ,grid.19006.3e0000 0000 9632 6718Department of Psychology, University of California at Los Angeles, Los Angeles, CA USA
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9
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Heller C, Steinmann S, Levitt JJ, Makris N, Antshel KM, Fremont W, Coman IL, Schweinberger SR, Weiß T, Bouix S, Kubicki MR, Kates WR, Kikinis Z. Abnormalities in white matter tracts in the fronto-striatal-thalamic circuit are associated with verbal performance in 22q11.2DS. Schizophr Res 2020; 224:141-150. [PMID: 33268158 PMCID: PMC7727455 DOI: 10.1016/j.schres.2020.09.008] [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: 05/08/2020] [Revised: 08/13/2020] [Accepted: 09/14/2020] [Indexed: 12/22/2022]
Abstract
BACKGROUND Abnormalities in fronto-striatal-thalamic (FST) sub-circuits are present in schizophrenia and are associated with cognitive impairments. However, it remains unknown whether abnormalities in FST sub-circuits are present before psychosis onset. This may be elucidated by investigating 22q11.2 deletion syndrome (22q11DS), a genetic syndrome associated with a 30% risk for developing schizophrenia in adulthood and a decline in Verbal IQ (VIQ) preceding psychosis onset. Here, we examined white matter (WM) tracts in FST sub-circuits, especially those in the dorsolateral (DLPFC) and ventrolateral prefrontal cortex (VLPFC) sub-circuits, and their associations with VIQ in young adults with 22q11DS. METHODS Diffusion MRI scans were acquired from 21 individuals with 22q11DS with prodromal symptoms of schizophrenia, 30 individuals with 22q11DS without prodromal symptoms, and 30 healthy controls (mean age: 21 ± 2 years). WM tracts were reconstructed between striatum and thalamus with rostral middle frontal gyrus (rMFG) and inferior frontal gyrus (IFG), representing DLPFC and VLPFC respectively. Fractional anisotropy (FA) and radial diffusivity (RD) were used for group comparisons. VIQ was assessed and associations with the diffusion measures were evaluated. RESULTS FA was significantly increased and RD decreased in most tracts of the DLPFC and VLPFC sub-circuits in 22q11DS. Verbal IQ scores correlated negatively with FA and, at trend level, positively with RD in the right thalamus-IFG tract in 22q11DS with prodromal symptoms. CONCLUSIONS While abnormalities in FST sub-circuits are associated with schizophrenia, we observed that these abnormalities are also present in 22q11DS individuals with prodromal symptoms and are associated with verbal performance in the right thalamus-IFG tract.
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Affiliation(s)
- Carina Heller
- Psychiatry Neuroimaging Laboratory, Department of Psychiatry, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA; Department of Psychiatry and Psychotherapy, Jena University Hospital, Germany; Department of Clinical Psychology, Friedrich-Schiller-University Jena, Germany.
| | - Saskia Steinmann
- Psychiatry Neuroimaging Laboratory, Department of Psychiatry, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, USA,Psychiatry Neuroimaging Branch, Department of Psychiatry and Psychotherapy, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - James J. Levitt
- 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
| | - Nikos Makris
- Psychiatry Neuroimaging Laboratory, Department of Psychiatry, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, USA,Departments of Psychiatry and Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Kevin M. Antshel
- Department of Psychiatry and Behavioral Sciences, SUNY Upstate Medical University, Syracuse, NY, USA,Department of Psychology, Syracuse University, Syracuse, NY, USA
| | - Wanda Fremont
- Department of Psychiatry and Behavioral Sciences, SUNY Upstate Medical University, Syracuse, NY, USA
| | - Ioana L. Coman
- Department of Computer Science, SUNY Oswego, Oswego, NY, USA
| | | | - Thomas Weiß
- Department of Clinical Psychology, Friedrich Schiller University Jena, Germany
| | - Sylvain Bouix
- Psychiatry Neuroimaging Laboratory, Department of Psychiatry, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, USA
| | - Marek R. 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
| | - Wendy R. Kates
- Department of Psychiatry and Behavioral Sciences, SUNY Upstate Medical University, Syracuse, NY, USA
| | - Zora Kikinis
- Psychiatry Neuroimaging Laboratory, Department of Psychiatry, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, USA
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10
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Jalbrzikowski M. Neuroimaging Phenotypes Associated With Risk and Resilience for Psychosis and Autism Spectrum Disorders in 22q11.2 Microdeletion Syndrome. BIOLOGICAL PSYCHIATRY: COGNITIVE NEUROSCIENCE AND NEUROIMAGING 2020; 6:211-224. [PMID: 33218931 DOI: 10.1016/j.bpsc.2020.08.015] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/08/2020] [Revised: 08/26/2020] [Accepted: 08/28/2020] [Indexed: 01/17/2023]
Abstract
Identification of biological risk factors that contribute to the development of complex neuropsychiatric disorders such as psychosis and autism spectrum disorder (ASD) is key for early intervention and detection. Furthermore, parsing the biological heterogeneity associated with these neuropsychiatric syndromes will help us understand the neural mechanisms underlying psychiatric symptom development. The 22q11.2 microdeletion syndrome (22q11DS) is caused by a recurrent genetic mutation that carries significantly increased risk for developing psychosis and/or ASD. In this review, I provide an brief introduction to 22q11DS and discuss common phenotyping strategies that are used to assess psychosis and ASD in this population. I then summarize neuroimaging phenotypes associated with psychosis and ASD in 22q11.DS. Next, I discuss challenges within the field and provide practical suggestions to overcome these obstacles. Finally, I discuss future directions for moving 22q11DS risk and resilience research forward.
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Affiliation(s)
- Maria Jalbrzikowski
- Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania.
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11
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Morphological alteration of myelin-oligodendrocytes in a schizophrenic patient with 22q11.2 deletion syndrome: An autopsy study. Schizophr Res 2020; 223:353-355. [PMID: 32712040 DOI: 10.1016/j.schres.2020.07.003] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/25/2020] [Revised: 07/08/2020] [Accepted: 07/11/2020] [Indexed: 12/24/2022]
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12
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Lin A, Vajdi A, Kushan-Wells L, Helleman G, Hansen LP, Jonas RK, Jalbrzikowski M, Kingsbury L, Raznahan A, Bearden CE. Reciprocal Copy Number Variations at 22q11.2 Produce Distinct and Convergent Neurobehavioral Impairments Relevant for Schizophrenia and Autism Spectrum Disorder. Biol Psychiatry 2020; 88:260-272. [PMID: 32143830 PMCID: PMC7354903 DOI: 10.1016/j.biopsych.2019.12.028] [Citation(s) in RCA: 31] [Impact Index Per Article: 7.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/21/2019] [Revised: 12/12/2019] [Accepted: 12/30/2019] [Indexed: 01/09/2023]
Abstract
BACKGROUND 22q11.2 deletions and duplications are copy number variations (CNVs) that predispose to developmental neuropsychiatric disorders. Both CNVs are associated with autism spectrum disorder (ASD), while the deletion confers disproportionate risk for schizophrenia. Neurobehavioral profiles associated with these reciprocal CNVs in conjunction with brain imaging measures have not been reported. METHODS We profiled the impact of 22q11.2 CNVs on neurobehavioral measures relevant to ASD and psychosis in 106 22q11.2 deletion carriers, 38 22q11.2 duplication carriers, and 82 demographically matched healthy control subjects. To determine whether brain-behavior relationships were altered in CNV carriers, we further tested for interactions between group and regional brain structure on neurobehavioral domains. RESULTS Cognitive deficits were observed in both CNV groups, with the lowest IQs in deletion carriers. ASD and dimensionally measured ASD traits were elevated in both CNV groups; however, duplication carriers exhibited increased stereotypies compared to deletion carriers. Moreover, discriminant analysis using ASD subdomains distinguished between CNV cases with 76% accuracy. Both psychotic disorder diagnosis and dimensionally measured positive and negative symptoms were elevated in deletion carriers. Finally, healthy control subjects showed an inverse relationship between processing speed and cortical thickness in heteromodal association areas, which was absent in both CNV groups. CONCLUSIONS 22q11.2 CNVs differentially modulate intellectual functioning and psychosis-related symptomatology but converge on broad ASD-related symptomatology. However, subtle differences in ASD profiles distinguish CNV groups. Processing speed impairments, coupled with the lack of normative relationship between processing speed and cortical thickness in CNV carriers, implicate aberrant development of the cortical mantle in the pathology underlying impaired processing speed ability.
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Affiliation(s)
- Amy Lin
- Department of Psychiatry and Biobehavioral Sciences, Semel Institute for Neuroscience and Human Behavior, University of California, Los Angeles, Los Angeles, California
| | - Ariana Vajdi
- Department of Psychiatry and Biobehavioral Sciences, Semel Institute for Neuroscience and Human Behavior, University of California, Los Angeles, Los Angeles, California
| | - Leila Kushan-Wells
- Department of Psychiatry and Biobehavioral Sciences, Semel Institute for Neuroscience and Human Behavior, University of California, Los Angeles, Los Angeles, California
| | - Gerhard Helleman
- Department of Psychiatry and Biobehavioral Sciences, Semel Institute for Neuroscience and Human Behavior, University of California, Los Angeles, Los Angeles, California
| | - Laura Pacheco Hansen
- Department of Psychiatry and Biobehavioral Sciences, Semel Institute for Neuroscience and Human Behavior, University of California, Los Angeles, Los Angeles, California
| | - Rachel K Jonas
- Department of Psychiatry and Biobehavioral Sciences, Semel Institute for Neuroscience and Human Behavior, University of California, Los Angeles, Los Angeles, California
| | - Maria Jalbrzikowski
- Department of Psychiatry, University of Pittsburgh, Pittsburgh, Pennsylvania
| | - Lyle Kingsbury
- Department of Biological Chemistry, University of California, Los Angeles, Los Angeles, California; Department of Neurobiology, University of California, Los Angeles, Los Angeles, California
| | - Armin Raznahan
- Developmental Neurogenomics Unit, Human Genetics Branch, National Institute of Mental Health, Bethesda, Maryland
| | - Carrie E Bearden
- Department of Psychiatry and Biobehavioral Sciences, Semel Institute for Neuroscience and Human Behavior, University of California, Los Angeles, Los Angeles, California; Department of Psychology, University of California, Los Angeles, Los Angeles, California.
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13
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Mithani K, Davison B, Meng Y, Lipsman N. The anterior limb of the internal capsule: Anatomy, function, and dysfunction. Behav Brain Res 2020; 387:112588. [PMID: 32179062 DOI: 10.1016/j.bbr.2020.112588] [Citation(s) in RCA: 25] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/19/2019] [Revised: 12/22/2019] [Accepted: 02/28/2020] [Indexed: 12/22/2022]
Abstract
The last two decades have seen a re-emergence of neurosurgery for severe, refractory psychiatric diseases, largely due to the advent of more precise and safe operative techniques. Nevertheless, the optimal targets for these surgeries remain a matter of debate, and are often grandfathered from experiences in the late 20th century. To better explore the rationale for one target in particular - the anterior limb of the internal capsule (ALIC) - we comprehensively reviewed all available literature on its role in the pathophysiology and treatment of mental illness. We first provide an overview of its functional anatomy, followed by a discussion on its role in several prevalent psychiatric diseases. Given its structural integration into the limbic system and involvement in a number of cognitive and emotional processes, the ALIC is a robust target for surgical treatment of refractory psychiatric diseases. The advent of novel neuroimaging techniques, coupled with image-guided therapeutics and neuromodulatory treatments, will continue to enable study on the ALIC in mental illness.
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Affiliation(s)
- Karim Mithani
- Sunnybrook Research Institute, Toronto, Ontario, Canada
| | | | - Ying Meng
- Sunnybrook Research Institute, Toronto, Ontario, Canada
| | - Nir Lipsman
- Sunnybrook Research Institute, Toronto, Ontario, Canada.
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14
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Wang S, Gong G, Zhong S, Duan J, Yin Z, Chang M, Wei S, Jiang X, Zhou Y, Tang Y, Wang F. Neurobiological commonalities and distinctions among 3 major psychiatric disorders: a graph theoretical analysis of the structural connectome. J Psychiatry Neurosci 2020; 45:15-22. [PMID: 31368294 PMCID: PMC6919917 DOI: 10.1503/jpn.180162] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/13/2022] Open
Abstract
BACKGROUND White matter network alterations have increasingly been implicated in major depressive disorder, bipolar disorder and schizophrenia. The aim of this study was to identify shared and distinct white matter network alterations among the 3 disorders. METHODS We used analysis of covariance, with age and gender as covariates, to investigate white matter network alterations in 123 patients with schizophrenia, 123 with bipolar disorder, 124 with major depressive disorder and 209 healthy controls. RESULTS We found significant group differences in global network efficiency (F = 3.386, p = 0.018), nodal efficiency (F = 8.015, p < 0.001 corrected for false discovery rate [FDR]) and nodal degree (F = 5.971, pFDR < 0.001) in the left middle occipital gyrus, as well as nodal efficiency (F = 6.930, pFDR < 0.001) and nodal degree (F = 5.884, pFDR < 0.001) in the left postcentral gyrus. We found no significant alterations in patients with major depressive disorder. Post hoc analyses revealed that compared with healthy controls, patients in the schizophrenia and bipolar disorder groups showed decreased global network efficiency, nodal efficiency and nodal degree in the left middle occipital gyrus. Furthermore, patients in the schizophrenia group showed decreased nodal efficiency and nodal degree in the left postcentral gyrus compared with healthy controls. LIMITATIONS Our findings could have been confounded in part by treatment differences. CONCLUSION Our findings implicate graded white matter network alterations across the 3 disorders, enhancing our understanding of shared and distinct pathophysiological mechanisms across diagnoses and providing vital insights into neuroimaging-based methods for diagnosis and research.
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Affiliation(s)
- Shuai Wang
- From the Department of Psychiatry, First Affiliated Hospital of China Medical University, Shenyang, Liaoning, China (S. Wang, Duan, Yin, Tang, F. Wang); the State Key Laboratory of Cognitive Neuroscience and Learning & IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, China (Gong, Zhong); the Department of Radiology, First Affiliated Hospital of China Medical University, Shenyang, Liaoning, China (Chang, Wei, Jiang, F. Wang); the Brain Function Research Section, First Affiliated Hospital of China Medical University, Shenyang, Liaoning, China (S. Wang, Duan, Chang, Wei, Jiang, Zhou, Tang, F. Wang); and the Department of Gerontology, First Affiliated Hospital of China Medical University, Shenyang, Liaoning, China (Zhou, Tang)
| | - Gaolang Gong
- From the Department of Psychiatry, First Affiliated Hospital of China Medical University, Shenyang, Liaoning, China (S. Wang, Duan, Yin, Tang, F. Wang); the State Key Laboratory of Cognitive Neuroscience and Learning & IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, China (Gong, Zhong); the Department of Radiology, First Affiliated Hospital of China Medical University, Shenyang, Liaoning, China (Chang, Wei, Jiang, F. Wang); the Brain Function Research Section, First Affiliated Hospital of China Medical University, Shenyang, Liaoning, China (S. Wang, Duan, Chang, Wei, Jiang, Zhou, Tang, F. Wang); and the Department of Gerontology, First Affiliated Hospital of China Medical University, Shenyang, Liaoning, China (Zhou, Tang)
| | - Suyu Zhong
- From the Department of Psychiatry, First Affiliated Hospital of China Medical University, Shenyang, Liaoning, China (S. Wang, Duan, Yin, Tang, F. Wang); the State Key Laboratory of Cognitive Neuroscience and Learning & IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, China (Gong, Zhong); the Department of Radiology, First Affiliated Hospital of China Medical University, Shenyang, Liaoning, China (Chang, Wei, Jiang, F. Wang); the Brain Function Research Section, First Affiliated Hospital of China Medical University, Shenyang, Liaoning, China (S. Wang, Duan, Chang, Wei, Jiang, Zhou, Tang, F. Wang); and the Department of Gerontology, First Affiliated Hospital of China Medical University, Shenyang, Liaoning, China (Zhou, Tang)
| | - Jia Duan
- From the Department of Psychiatry, First Affiliated Hospital of China Medical University, Shenyang, Liaoning, China (S. Wang, Duan, Yin, Tang, F. Wang); the State Key Laboratory of Cognitive Neuroscience and Learning & IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, China (Gong, Zhong); the Department of Radiology, First Affiliated Hospital of China Medical University, Shenyang, Liaoning, China (Chang, Wei, Jiang, F. Wang); the Brain Function Research Section, First Affiliated Hospital of China Medical University, Shenyang, Liaoning, China (S. Wang, Duan, Chang, Wei, Jiang, Zhou, Tang, F. Wang); and the Department of Gerontology, First Affiliated Hospital of China Medical University, Shenyang, Liaoning, China (Zhou, Tang)
| | - Zhiyang Yin
- From the Department of Psychiatry, First Affiliated Hospital of China Medical University, Shenyang, Liaoning, China (S. Wang, Duan, Yin, Tang, F. Wang); the State Key Laboratory of Cognitive Neuroscience and Learning & IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, China (Gong, Zhong); the Department of Radiology, First Affiliated Hospital of China Medical University, Shenyang, Liaoning, China (Chang, Wei, Jiang, F. Wang); the Brain Function Research Section, First Affiliated Hospital of China Medical University, Shenyang, Liaoning, China (S. Wang, Duan, Chang, Wei, Jiang, Zhou, Tang, F. Wang); and the Department of Gerontology, First Affiliated Hospital of China Medical University, Shenyang, Liaoning, China (Zhou, Tang)
| | - Miao Chang
- From the Department of Psychiatry, First Affiliated Hospital of China Medical University, Shenyang, Liaoning, China (S. Wang, Duan, Yin, Tang, F. Wang); the State Key Laboratory of Cognitive Neuroscience and Learning & IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, China (Gong, Zhong); the Department of Radiology, First Affiliated Hospital of China Medical University, Shenyang, Liaoning, China (Chang, Wei, Jiang, F. Wang); the Brain Function Research Section, First Affiliated Hospital of China Medical University, Shenyang, Liaoning, China (S. Wang, Duan, Chang, Wei, Jiang, Zhou, Tang, F. Wang); and the Department of Gerontology, First Affiliated Hospital of China Medical University, Shenyang, Liaoning, China (Zhou, Tang)
| | - Shengnan Wei
- From the Department of Psychiatry, First Affiliated Hospital of China Medical University, Shenyang, Liaoning, China (S. Wang, Duan, Yin, Tang, F. Wang); the State Key Laboratory of Cognitive Neuroscience and Learning & IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, China (Gong, Zhong); the Department of Radiology, First Affiliated Hospital of China Medical University, Shenyang, Liaoning, China (Chang, Wei, Jiang, F. Wang); the Brain Function Research Section, First Affiliated Hospital of China Medical University, Shenyang, Liaoning, China (S. Wang, Duan, Chang, Wei, Jiang, Zhou, Tang, F. Wang); and the Department of Gerontology, First Affiliated Hospital of China Medical University, Shenyang, Liaoning, China (Zhou, Tang)
| | - Xiaowei Jiang
- From the Department of Psychiatry, First Affiliated Hospital of China Medical University, Shenyang, Liaoning, China (S. Wang, Duan, Yin, Tang, F. Wang); the State Key Laboratory of Cognitive Neuroscience and Learning & IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, China (Gong, Zhong); the Department of Radiology, First Affiliated Hospital of China Medical University, Shenyang, Liaoning, China (Chang, Wei, Jiang, F. Wang); the Brain Function Research Section, First Affiliated Hospital of China Medical University, Shenyang, Liaoning, China (S. Wang, Duan, Chang, Wei, Jiang, Zhou, Tang, F. Wang); and the Department of Gerontology, First Affiliated Hospital of China Medical University, Shenyang, Liaoning, China (Zhou, Tang)
| | - Yifang Zhou
- From the Department of Psychiatry, First Affiliated Hospital of China Medical University, Shenyang, Liaoning, China (S. Wang, Duan, Yin, Tang, F. Wang); the State Key Laboratory of Cognitive Neuroscience and Learning & IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, China (Gong, Zhong); the Department of Radiology, First Affiliated Hospital of China Medical University, Shenyang, Liaoning, China (Chang, Wei, Jiang, F. Wang); the Brain Function Research Section, First Affiliated Hospital of China Medical University, Shenyang, Liaoning, China (S. Wang, Duan, Chang, Wei, Jiang, Zhou, Tang, F. Wang); and the Department of Gerontology, First Affiliated Hospital of China Medical University, Shenyang, Liaoning, China (Zhou, Tang)
| | - Yanqing Tang
- From the Department of Psychiatry, First Affiliated Hospital of China Medical University, Shenyang, Liaoning, China (S. Wang, Duan, Yin, Tang, F. Wang); the State Key Laboratory of Cognitive Neuroscience and Learning & IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, China (Gong, Zhong); the Department of Radiology, First Affiliated Hospital of China Medical University, Shenyang, Liaoning, China (Chang, Wei, Jiang, F. Wang); the Brain Function Research Section, First Affiliated Hospital of China Medical University, Shenyang, Liaoning, China (S. Wang, Duan, Chang, Wei, Jiang, Zhou, Tang, F. Wang); and the Department of Gerontology, First Affiliated Hospital of China Medical University, Shenyang, Liaoning, China (Zhou, Tang)
| | - Fei Wang
- From the Department of Psychiatry, First Affiliated Hospital of China Medical University, Shenyang, Liaoning, China (S. Wang, Duan, Yin, Tang, F. Wang); the State Key Laboratory of Cognitive Neuroscience and Learning & IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, China (Gong, Zhong); the Department of Radiology, First Affiliated Hospital of China Medical University, Shenyang, Liaoning, China (Chang, Wei, Jiang, F. Wang); the Brain Function Research Section, First Affiliated Hospital of China Medical University, Shenyang, Liaoning, China (S. Wang, Duan, Chang, Wei, Jiang, Zhou, Tang, F. Wang); and the Department of Gerontology, First Affiliated Hospital of China Medical University, Shenyang, Liaoning, China (Zhou, Tang)
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15
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Motahari Z, Moody SA, Maynard TM, LaMantia AS. In the line-up: deleted genes associated with DiGeorge/22q11.2 deletion syndrome: are they all suspects? J Neurodev Disord 2019; 11:7. [PMID: 31174463 PMCID: PMC6554986 DOI: 10.1186/s11689-019-9267-z] [Citation(s) in RCA: 48] [Impact Index Per Article: 9.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/25/2018] [Accepted: 04/21/2019] [Indexed: 12/27/2022] Open
Abstract
BACKGROUND 22q11.2 deletion syndrome (22q11DS), a copy number variation (CNV) disorder, occurs in approximately 1:4000 live births due to a heterozygous microdeletion at position 11.2 (proximal) on the q arm of human chromosome 22 (hChr22) (McDonald-McGinn and Sullivan, Medicine 90:1-18, 2011). This disorder was known as DiGeorge syndrome, Velo-cardio-facial syndrome (VCFS) or conotruncal anomaly face syndrome (CTAF) based upon diagnostic cardiovascular, pharyngeal, and craniofacial anomalies (McDonald-McGinn and Sullivan, Medicine 90:1-18, 2011; Burn et al., J Med Genet 30:822-4, 1993) before this phenotypic spectrum was associated with 22q11.2 CNVs. Subsequently, 22q11.2 deletion emerged as a major genomic lesion associated with vulnerability for several clinically defined behavioral deficits common to a number of neurodevelopmental disorders (Fernandez et al., Principles of Developmental Genetics, 2015; Robin and Shprintzen, J Pediatr 147:90-6, 2005; Schneider et al., Am J Psychiatry 171:627-39, 2014). RESULTS The mechanistic relationships between heterozygously deleted 22q11.2 genes and 22q11DS phenotypes are still unknown. We assembled a comprehensive "line-up" of the 36 protein coding loci in the 1.5 Mb minimal critical deleted region on hChr22q11.2, plus 20 protein coding loci in the distal 1.5 Mb that defines the 3 Mb typical 22q11DS deletion. We categorized candidates based upon apparent primary cell biological functions. We analyzed 41 of these genes that encode known proteins to determine whether haploinsufficiency of any single 22q11.2 gene-a one gene to one phenotype correspondence due to heterozygous deletion restricted to that locus-versus complex multigenic interactions can account for single or multiple 22q11DS phenotypes. CONCLUSIONS Our 22q11.2 functional genomic assessment does not support current theories of single gene haploinsufficiency for one or all 22q11DS phenotypes. Shared molecular functions, convergence on fundamental cell biological processes, and related consequences of individual 22q11.2 genes point to a matrix of multigenic interactions due to diminished 22q11.2 gene dosage. These interactions target fundamental cellular mechanisms essential for development, maturation, or homeostasis at subsets of 22q11DS phenotypic sites.
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Affiliation(s)
- Zahra Motahari
- The Institute for Neuroscience, and Department of Anatomy and Cell Biology, The George Washington University School of Medicine and Health Sciences, Washington DC, 20037 USA
| | - Sally Ann Moody
- The Institute for Neuroscience, and Department of Anatomy and Cell Biology, The George Washington University School of Medicine and Health Sciences, Washington DC, 20037 USA
| | - Thomas Michael Maynard
- The Institute for Neuroscience, and Department of Anatomy and Cell Biology, The George Washington University School of Medicine and Health Sciences, Washington DC, 20037 USA
| | - Anthony-Samuel LaMantia
- The Institute for Neuroscience, and Department of Anatomy and Cell Biology, The George Washington University School of Medicine and Health Sciences, Washington DC, 20037 USA
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16
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Microdeletions excluding YWHAE and PAFAH1B1 cause a unique leukoencephalopathy: further delineation of the 17p13.3 microdeletion spectrum. Genet Med 2018; 21:1652-1656. [PMID: 30568308 PMCID: PMC6586530 DOI: 10.1038/s41436-018-0358-0] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/20/2018] [Accepted: 10/30/2018] [Indexed: 01/18/2023] Open
Abstract
PURPOSE Brain malformations caused by 17p13.3 deletions include lissencephaly with deletions of the larger Miller-Dieker syndrome region or smaller deletions of only PAFAH1B1, white matter changes, and a distinct syndrome due to deletions including YWHAE and CRK but sparing PAFAH1B1. We sought to understand the significance of 17p13.3 deletions between the YWHAE/CRK and PAFAH1B1 loci. METHODS We analyzed the clinical features of six individuals from five families with 17p13.3 deletions between and not including YWHAE/CRK and PAFAH1B1 identified among individuals undergoing clinical chromosomal microarray testing or research genome sequencing. RESULTS Five individuals from four families had multifocal white matter lesions while a sixth had a normal magnetic resonance image. A combination of our individuals and a review of those in the literature with white matter changes and deletions in this chromosomal region narrows the overlapping region for this brain phenotype to ~345 kb, including 11 RefSeq genes, with RTN4RL1 haploinsufficiency as the best candidate for causing this phenotype. CONCLUSION While previous literature has hypothesized dysmorphic features and white matter changes related to YWHAE, our cohort contributes evidence to the presence of additional genetic changes within 17p13.3 required for proper brain development.
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17
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Wang Y, Metoki A, Alm KH, Olson IR. White matter pathways and social cognition. Neurosci Biobehav Rev 2018; 90:350-370. [PMID: 29684403 PMCID: PMC5993647 DOI: 10.1016/j.neubiorev.2018.04.015] [Citation(s) in RCA: 36] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/09/2017] [Revised: 03/02/2018] [Accepted: 04/15/2018] [Indexed: 12/13/2022]
Abstract
There is a growing consensus that social cognition and behavior emerge from interactions across distributed regions of the "social brain". Researchers have traditionally focused their attention on functional response properties of these gray matter networks and neglected the vital role of white matter connections in establishing such networks and their functions. In this article, we conduct a comprehensive review of prior research on structural connectivity in social neuroscience and highlight the importance of this literature in clarifying brain mechanisms of social cognition. We pay particular attention to three key social processes: face processing, embodied cognition, and theory of mind, and their respective underlying neural networks. To fully identify and characterize the anatomical architecture of these networks, we further implement probabilistic tractography on a large sample of diffusion-weighted imaging data. The combination of an in-depth literature review and the empirical investigation gives us an unprecedented, well-defined landscape of white matter pathways underlying major social brain networks. Finally, we discuss current problems in the field, outline suggestions for best practice in diffusion-imaging data collection and analysis, and offer new directions for future research.
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Affiliation(s)
- Yin Wang
- Department of Psychology, Temple University, Philadelphia, 19107, USA.
| | - Athanasia Metoki
- Department of Psychology, Temple University, Philadelphia, 19107, USA
| | - Kylie H Alm
- Department of Psychology, Temple University, Philadelphia, 19107, USA
| | - Ingrid R Olson
- Department of Psychology, Temple University, Philadelphia, 19107, USA.
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18
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Nuninga JO, Bohlken MM, Koops S, Fiksinski AM, Mandl RCW, Breetvelt EJ, Duijff SN, Kahn RS, Sommer IEC, Vorstman JAS. White matter abnormalities in 22q11.2 deletion syndrome patients showing cognitive decline. Psychol Med 2018; 48:1655-1663. [PMID: 29143717 DOI: 10.1017/s0033291717003142] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/17/2022]
Abstract
BACKGROUND Decline in cognitive functioning precedes the first psychotic episode in the course of schizophrenia and is considered a hallmark symptom of the disorder. Given the low incidence of schizophrenia, it remains a challenge to investigate whether cognitive decline coincides with disease-related changes in brain structure, such as white matter abnormalities. The 22q11.2 deletion syndrome (22q11DS) is an appealing model in this context, as 25% of patients develop psychosis. Furthermore, we recently showed that cognitive decline also precedes the onset of psychosis in individuals with 22q11DS. Here, we investigate whether the early cognitive decline in patients with 22q11DS is associated with alterations in white matter microstructure. METHODS We compared the fractional anisotropy (FA) of white matter in 22q11DS patients with cognitive decline [n = 16; -18.34 (15.8) VIQ percentile points over 6.80 (2.39) years] to 22q11DS patients without cognitive decline [n = 18; 17.71 (20.17) VIQ percentile points over 5.27 (2.03) years] by applying an atlas-based approach to diffusion-weighted imaging data. RESULTS FA was significantly increased (p < 0.05, FDR) in 22q11DS patients with a cognitive decline in the bilateral superior longitudinal fasciculus, the bilateral cingulum bundle, all subcomponents of the left internal capsule and the left superior frontal-occipital fasciculus as compared with 22q11DS patients without cognitive decline. CONCLUSIONS Within 22q11DS, the early cognitive decline is associated with microstructural differences in white matter. At the mean age of 17.8 years, these changes are reflected in increased FA in several tracts. We hypothesize that similar brain alterations associated with cognitive decline take place early in the trajectory of schizophrenia.
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Affiliation(s)
- Jasper Olivier Nuninga
- Department of Psychiatry,Rudolf Magnus Institute of Neuroscience, University Medical Center,Utrecht,The Netherlands
| | - Marc Marijn Bohlken
- Department of Psychiatry,Rudolf Magnus Institute of Neuroscience, University Medical Center,Utrecht,The Netherlands
| | - Sanne Koops
- Department of Psychiatry,Rudolf Magnus Institute of Neuroscience, University Medical Center,Utrecht,The Netherlands
| | - Ania M Fiksinski
- Department of Psychiatry,Rudolf Magnus Institute of Neuroscience, University Medical Center,Utrecht,The Netherlands
| | - René C W Mandl
- Department of Psychiatry,Rudolf Magnus Institute of Neuroscience, University Medical Center,Utrecht,The Netherlands
| | - Elemi J Breetvelt
- Dalglish Family Hearts and Minds Clinic for 22q11.2 Deletion Syndrome, Toronto General Hospital, University Health Network,Toronto, Ontario,Canada
| | - Sasja N Duijff
- Department of Psychiatry,Rudolf Magnus Institute of Neuroscience, University Medical Center,Utrecht,The Netherlands
| | - René S Kahn
- Department of Psychiatry,Rudolf Magnus Institute of Neuroscience, University Medical Center,Utrecht,The Netherlands
| | - Iris E C Sommer
- Department of Psychiatry,Rudolf Magnus Institute of Neuroscience, University Medical Center,Utrecht,The Netherlands
| | - Jacob A S Vorstman
- Department of Psychiatry,Rudolf Magnus Institute of Neuroscience, University Medical Center,Utrecht,The Netherlands
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19
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Kikinis Z, Cho KIK, Coman IL, Radoeva PD, Bouix S, Tang Y, Eckbo R, Makris N, Kwon JS, Kubicki M, Antshel KM, Fremont W, Shenton ME, Kates WR. Abnormalities in brain white matter in adolescents with 22q11.2 deletion syndrome and psychotic symptoms. Brain Imaging Behav 2018; 11:1353-1364. [PMID: 27730479 DOI: 10.1007/s11682-016-9602-x] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/22/2022]
Abstract
BACKGROUND 22q11.2 Deletion Syndrome (22q11DS) is considered to be a promising cohort to explore biomarkers of schizophrenia risk based on a 30 % probability of developing schizophrenia in adulthood. In this study, we investigated abnormalities in the microstructure of white matter in adolescents with 22q11DS and their specificity to prodromal symptoms of schizophrenia. METHODS Diffusion Magnetic Resonance Imaging (dMRI) data were acquired from 50 subjects with 22q11DS (9 with and 41 without prodromal psychotic symptoms), and 47 matched healthy controls (mean age 18 +/-2 years). DMRI measures, including fractional anisotropy (FA), mean diffusivity (MD), axial diffusivity (AD), and radial diffusivity (RD) were calculated and compared between groups using the Tract Based Spatial Statistics (TBSS) method. Additionally, correlations between dMRI measures and scores on positive symptoms were performed. RESULTS Reductions in MD, AD and RD (but not FA) were found in the corpus callosum (CC), left and right superior longitudinal fasciculus (SLF), and left and right corona radiata in the entire 22q11DS group. In addition, the 22q11DS subgroup with prodromal symptoms showed reductions in AD and MD, but no changes in RD when compared to the non-prodromal subgroup, in CC, right SLF, right corona radiata and right internal capsule. Finally, AD values in these tracts correlated with the scores on the psychosis subscale. CONCLUSION Microstructural abnormalities in brain white matter are present in adolescent subjects with prodromal psychotic symptoms.
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Affiliation(s)
- Zora Kikinis
- Psychiatry Neuroimaging Laboratory, Department of Psychiatry, Brigham and Women's Hospital, Harvard Medical School, 1249 Boylston Street, Boston, MA, 02115, USA.
| | - Kang Ik K Cho
- Brain and Cognitive Sciences, Department of Natural Sciences, Seoul National University, Seoul, South Korea
| | - Ioana L Coman
- Department of Psychiatry and Behavioral Sciences, SUNY Upstate Medical University, Syracuse, NY, USA
| | - Petya D Radoeva
- Department of Psychiatry and Behavioral Sciences, SUNY Upstate Medical University, Syracuse, NY, USA
| | - Sylvain Bouix
- Psychiatry Neuroimaging Laboratory, Department of Psychiatry, Brigham and Women's Hospital, Harvard Medical School, 1249 Boylston Street, Boston, MA, 02115, USA
| | - Yingying Tang
- Department of EEG and Imaging, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Ryan Eckbo
- Psychiatry Neuroimaging Laboratory, Department of Psychiatry, Brigham and Women's Hospital, Harvard Medical School, 1249 Boylston Street, Boston, MA, 02115, USA
| | - Nikos Makris
- Psychiatry Neuroimaging Laboratory, Department of Psychiatry, Brigham and Women's Hospital, Harvard Medical School, 1249 Boylston Street, Boston, MA, 02115, USA.,Psychiatry and Neurology Departments, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Jun Soo Kwon
- Brain and Cognitive Sciences, Department of Natural Sciences, Seoul National University, Seoul, South Korea.,Department of Psychiatry, Seoul National University College of Medicine, Seoul, Republic of Korea
| | - Marek Kubicki
- Psychiatry Neuroimaging Laboratory, Department of Psychiatry, Brigham and Women's Hospital, Harvard Medical School, 1249 Boylston Street, Boston, MA, 02115, USA.,Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Kevin M Antshel
- Department of Psychology, Syracuse University, Syracuse, NY, USA
| | - Wanda Fremont
- Department of Psychiatry and Behavioral Sciences, SUNY Upstate Medical University, Syracuse, NY, USA
| | - Martha E Shenton
- Psychiatry Neuroimaging Laboratory, Department of Psychiatry, Brigham and Women's Hospital, Harvard Medical School, 1249 Boylston Street, Boston, MA, 02115, USA.,Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.,VA Boston Healthcare System, Harvard Medical School, Brockton, MA, USA
| | - Wendy R Kates
- Department of Psychiatry and Behavioral Sciences, SUNY Upstate Medical University, Syracuse, NY, USA
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20
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Abstract
Recent large-scale genomic studies have confirmed that schizophrenia is a polygenic syndrome and have implicated a number of biological pathways in its aetiology. Both common variants individually of small effect and rarer but more penetrant genetic variants have been shown to play a role in the pathogenesis of the disorder. No simple Mendelian forms of the condition have been identified, but progress has been made in stratifying risk on the basis of the polygenic burden of common variants individually of small effect, and the contribution of rarer variants of larger effect such as Copy Number Variants (CNVs). Pathway analysis of risk-associated variants has begun to identify specific biological processes implicated in risk for the disorder, including elements of the glutamatergic NMDA receptor complex and post synaptic density, voltage-gated calcium channels, targets of the Fragile X Mental Retardation Protein (FMRP targets) and immune pathways. Genetic studies have also been used to drive genomic imaging approaches to the investigation of brain markers associated with risk for the disorder. Genomic imaging approaches have been applied both to investigate the effect of polygenic risk and to study the impact of individual higher-penetrance variants such as CNVs. Both genomic and genomic imaging approaches offer potential for the stratification of patients and at-risk groups and the development of better biomarkers of risk and treatment response; however, further research is needed to integrate this work and realise the full potential of these approaches.
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21
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Kimura H, Fujita Y, Kawabata T, Ishizuka K, Wang C, Iwayama Y, Okahisa Y, Kushima I, Morikawa M, Uno Y, Okada T, Ikeda M, Inada T, Branko A, Mori D, Yoshikawa T, Iwata N, Nakamura H, Yamashita T, Ozaki N. A novel rare variant R292H in RTN4R affects growth cone formation and possibly contributes to schizophrenia susceptibility. Transl Psychiatry 2017; 7:e1214. [PMID: 28892071 PMCID: PMC5611737 DOI: 10.1038/tp.2017.170] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/03/2016] [Revised: 05/20/2017] [Accepted: 06/17/2017] [Indexed: 02/03/2023] Open
Abstract
Reticulon 4 receptor (RTN4R) plays an essential role in regulating axonal regeneration and plasticity in the central nervous system through the activation of rho kinase, and is located within chromosome 22q11.2, a region that is known to be a hotspot for schizophrenia (SCZ) and autism spectrum disorder (ASD). Recently, rare variants such as copy-number variants and single-nucleotide variants have been a focus of research because of their large effect size associated with increased susceptibility to SCZ and ASD and the possibility of elucidating the pathophysiology of mental disorder through functional analysis of the discovered rare variants. To discover rare variants with large effect size and to evaluate their role in the etiopathophysiology of SCZ and ASD, we sequenced the RTN4R coding exons with a sample comprising 370 SCZ and 192 ASD patients, and association analysis using a large number of unrelated individuals (1716 SCZ, 382 ASD and 4009 controls). Through this mutation screening, we discovered four rare (minor allele frequency <1%) missense mutations (R68H, D259N, R292H and V363M) of RTN4R. Among these discovered rare mutations, R292H was found to be significantly associated with SCZ (P=0.048). Furthermore, in vitro functional assays showed that the R292H mutation affected the formation of growth cones. This study strengthens the evidence for association between rare variants within RTN4R and SCZ, and may shed light on the molecular mechanisms underlying the neurodevelopmental disorder.
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Affiliation(s)
- H Kimura
- Department of Psychiatry, Nagoya University Graduate School of Medicine, Nagoya, Japan
| | - Y Fujita
- Department of Molecular Neuroscience, Osaka University Graduate School of Medicine, Osaka, Japan
| | - T Kawabata
- Laboratory of Protein Informatics Institute for Protein Research, Osaka University Graduate School of Medicine, Osaka, Japan
| | - K Ishizuka
- Department of Psychiatry, Nagoya University Graduate School of Medicine, Nagoya, Japan
| | - C Wang
- Department of Psychiatry, Nagoya University Graduate School of Medicine, Nagoya, Japan
| | - Y Iwayama
- Laboratory for Molecular Psychiatry, RIKEN Brain Science Institute, Wako, Saitama, Japan
| | - Y Okahisa
- Department of Neuropsychiatry, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama, Japan
| | - I Kushima
- Department of Psychiatry, Nagoya University Graduate School of Medicine, Nagoya, Japan
| | - M Morikawa
- Department of Psychiatry, Nagoya University Graduate School of Medicine, Nagoya, Japan
| | - Y Uno
- Department of Psychiatry, Nagoya University Graduate School of Medicine, Nagoya, Japan,Laboratory for Psychiatric and Molecular Neuroscience, McLean Hospital, Belmont, MA, USA
| | - T Okada
- Department of Psychiatry, Nagoya University Graduate School of Medicine, Nagoya, Japan
| | - M Ikeda
- Department of Psychiatry, Fujita Health University School of Medicine, Toyoake, Aichi, Japan
| | - T Inada
- Department of Psychiatry, Nagoya University Graduate School of Medicine, Nagoya, Japan
| | - A Branko
- Department of Psychiatry, Nagoya University Graduate School of Medicine, Nagoya, Japan,Department of Psychiatry, Nagoya University Graduate School of Medicine, 65 Tsurumai-cho, Showa-ku, Nagoya 466-8550, Japan. E-mail:
| | - D Mori
- Department of Psychiatry, Nagoya University Graduate School of Medicine, Nagoya, Japan
| | - T Yoshikawa
- Laboratory for Molecular Psychiatry, RIKEN Brain Science Institute, Wako, Saitama, Japan
| | - N Iwata
- Department of Psychiatry, Fujita Health University School of Medicine, Toyoake, Aichi, Japan
| | - H Nakamura
- Laboratory of Protein Informatics Institute for Protein Research, Osaka University Graduate School of Medicine, Osaka, Japan
| | - T Yamashita
- Department of Molecular Neuroscience, Osaka University Graduate School of Medicine, Osaka, Japan
| | - N Ozaki
- Department of Psychiatry, Nagoya University Graduate School of Medicine, Nagoya, Japan
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22
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Padula MC, Scariati E, Schaer M, Sandini C, Ottet MC, Schneider M, Van De Ville D, Eliez S. Altered structural network architecture is predictive of the presence of psychotic symptoms in patients with 22q11.2 deletion syndrome. NEUROIMAGE-CLINICAL 2017; 16:142-150. [PMID: 28794975 PMCID: PMC5540832 DOI: 10.1016/j.nicl.2017.07.023] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 03/27/2017] [Revised: 07/13/2017] [Accepted: 07/24/2017] [Indexed: 11/10/2022]
Abstract
22q11.2 deletion syndrome (22q11DS) represents a homogeneous model of schizophrenia particularly suitable for the search of neural biomarkers of psychosis. Impairments in structural connectivity related to the presence of psychotic symptoms have been reported in patients with 22q11DS. However, the relationships between connectivity changes in patients with different symptomatic profiles are still largely unknown and warrant further investigations. In this study, we used structural connectivity to discriminate patients with 22q11DS with (N = 31) and without (N = 31) attenuated positive psychotic symptoms. Different structural connectivity measures were used, including the number of streamlines connecting pairs of brain regions, graph theoretical measures, and diffusion measures. We used univariate group comparisons as well as predictive multivariate approaches. The univariate comparison of connectivity measures between patients with or without attenuated positive psychotic symptoms did not give significant results. However, the multivariate prediction revealed that altered structural network architecture discriminates patient subtypes (accuracy = 67.7%). Among the regions contributing to the classification we found the anterior cingulate cortex, which is known to be associated to the presence of psychotic symptoms in patients with 22q11DS. Furthermore, a significant discrimination (accuracy = 64%) was obtained with fractional anisotropy and radial diffusivity in the left inferior longitudinal fasciculus and the right cingulate gyrus. Our results point to alterations in structural network architecture and white matter microstructure in patients with 22q11DS with attenuated positive symptoms, mainly involving connections of the limbic system. These alterations may therefore represent a potential biomarker for an increased risk of psychosis that should be further tested in longitudinal studies. Altered network architecture discriminates psychotic patients with 22q11DS; Altered diffusivity measures are evident in psychotic patients with 22q11DS; White matter alterations associated to psychosis are located in limbic regions.
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Affiliation(s)
- Maria C Padula
- Developmental Imaging and Psychopathology Laboratory, Department of Psychiatry, University of Geneva School of medicine, Geneva, Switzerland
| | - Elisa Scariati
- Developmental Imaging and Psychopathology Laboratory, Department of Psychiatry, University of Geneva School of medicine, Geneva, Switzerland
| | - Marie Schaer
- Developmental Imaging and Psychopathology Laboratory, Department of Psychiatry, University of Geneva School of medicine, Geneva, Switzerland
| | - Corrado Sandini
- Developmental Imaging and Psychopathology Laboratory, Department of Psychiatry, University of Geneva School of medicine, Geneva, Switzerland
| | - Marie Christine Ottet
- Developmental Imaging and Psychopathology Laboratory, Department of Psychiatry, University of Geneva School of medicine, Geneva, Switzerland
| | - Maude Schneider
- Developmental Imaging and Psychopathology Laboratory, Department of Psychiatry, University of Geneva School of medicine, Geneva, Switzerland
| | - Dimitri Van De Ville
- Medical Image Processing Lab, Institute of Bioengineering, Ecole Polytechnique Fédérale de Lausanne, Lausanne, Switzerland.,Department of Radiology and Medical Informatics, University of Geneva, Geneva, Switzerland
| | - Stephan Eliez
- Developmental Imaging and Psychopathology Laboratory, Department of Psychiatry, University of Geneva School of medicine, Geneva, Switzerland.,Department of Genetic Medicine and Development, University of Geneva School of medicine, Geneva, Switzerland
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23
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Dubourg L, Schneider M, Padula MC, Chambaz L, Schaer M, Eliez S. Implication of reward alterations in the expression of negative symptoms in 22q11.2 deletion syndrome: a behavioural and DTI study. Psychol Med 2017; 47:1442-1453. [PMID: 28112057 DOI: 10.1017/s0033291716003482] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/23/2022]
Abstract
BACKGROUND Alterations of the reward system have been proposed as one of the core mechanisms underlying the expression of negative symptoms in schizophrenia. Specifically, deficits in specific reward components and white matter (WM) integrity of the reward system have been highlighted. The putative link between negative symptoms and the hedonic experience, or structural connectivity of the reward system has never been examined in the 22q11.2 deletion syndrome (22q11DS), a condition with increased risk for psychosis. METHOD Anticipatory and consummatory dimensions of pleasure were assessed in participants with 22q11DS (N = 54) and healthy controls (N = 55). In patients with 22q11DS, the association between pleasure scores and positive or negative symptoms was investigated. Furthermore, WM integrity of the accumbofrontal tract was quantified using diffusion tensor imaging (DTI). Associations between DTI measures, pleasure dimensions and negative symptoms were examined. RESULTS Patients with 22q11DS showed reduced anticipatory and consummatory pleasure compared to controls. Furthermore, anticipatory pleasure scores were negatively correlated to negative and positive symptoms in 22q11DS. WM microstructural changes of the accumbofrontal tract in terms of increased fractional anisotropy and reduced radial anisotropy were also identified in patients. However, no significant correlation between the DTI measures and pleasure dimensions or psychotic symptoms was observed. CONCLUSIONS This study revealed that participants with 22q11DS differed in their experience of pleasure compared to controls. The anticipatory pleasure component appears to be related to negative and positive symptom severity in patients. Alterations of WM integrity of the accumbofrontal tract seem to be related to myelination abnormalities in 22q11DS patients.
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Affiliation(s)
- L Dubourg
- Department of Psychiatry,Office Médico-Pédagogique Research Unit, School of Medicine, University of Geneva,Geneva,Switzerland
| | - M Schneider
- Department of Psychiatry,Office Médico-Pédagogique Research Unit, School of Medicine, University of Geneva,Geneva,Switzerland
| | - M C Padula
- Department of Psychiatry,Office Médico-Pédagogique Research Unit, School of Medicine, University of Geneva,Geneva,Switzerland
| | - L Chambaz
- Department of Psychiatry,Office Médico-Pédagogique Research Unit, School of Medicine, University of Geneva,Geneva,Switzerland
| | - M Schaer
- Department of Psychiatry,Office Médico-Pédagogique Research Unit, School of Medicine, University of Geneva,Geneva,Switzerland
| | - S Eliez
- Department of Psychiatry,Office Médico-Pédagogique Research Unit, School of Medicine, University of Geneva,Geneva,Switzerland
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Tylee DS, Kikinis Z, Quinn TP, Antshel KM, Fremont W, Tahir MA, Zhu A, Gong X, Glatt SJ, Coman IL, Shenton ME, Kates WR, Makris N. Machine-learning classification of 22q11.2 deletion syndrome: A diffusion tensor imaging study. NEUROIMAGE-CLINICAL 2017; 15:832-842. [PMID: 28761808 PMCID: PMC5522376 DOI: 10.1016/j.nicl.2017.04.029] [Citation(s) in RCA: 21] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 02/26/2017] [Revised: 03/27/2017] [Accepted: 04/04/2017] [Indexed: 11/27/2022]
Abstract
Chromosome 22q11.2 deletion syndrome (22q11.2DS) is a genetic neurodevelopmental syndrome that has been studied intensively in order to understand relationships between the genetic microdeletion, brain development, cognitive function, and the emergence of psychiatric symptoms. White matter microstructural abnormalities identified using diffusion tensor imaging methods have been reported to affect a variety of neuroanatomical tracts in 22q11.2DS. In the present study, we sought to combine two discovery-based approaches: (1) white matter query language was used to parcellate the brain's white matter into tracts connecting pairs of 34, bilateral cortical regions and (2) the diffusion imaging characteristics of the resulting tracts were analyzed using a machine-learning method called support vector machine in order to optimize the selection of a set of imaging features that maximally discriminated 22q11.2DS and comparison subjects. With this unique approach, we both confirmed previously-recognized 22q11.2DS-related abnormalities in the inferior longitudinal fasciculus (ILF), and identified, for the first time, 22q11.2DS-related anomalies in the middle longitudinal fascicle and the extreme capsule, which may have been overlooked in previous, hypothesis-guided studies. We further observed that, in participants with 22q11.2DS, ILF metrics were significantly associated with positive prodromal symptoms of psychosis.
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Key Words
- (-fp), fronto-parietal aspect
- (-to), temporo-occipital aspect
- (-tp), temporo-parietal aspect
- (22q11.2DS), 22q11.2 deletion syndrome
- (AD), axial diffusivity
- (DTI), diffusion tensor imaging
- (DWI), diffusion weighted image
- (EmC), extreme capsule
- (FA), fractional anisotropy
- (FOV), field of view
- (GDS), Gordon Diagnostic Systems
- (ILF), inferior longitudinal fasciculus
- (MdLF), middle longitudinal fascicle
- (RD), radial diffusivity
- (ROI), region of interest
- (SIPS), Structured Interview for Prodromal Syndromes
- (SRS), Social Responsiveness Scale
- (STG), superior temporal gyrus
- (SVM), support vector machine
- (UKF), Unscented Kalman Filter
- (WAIS-III), Wechsler Adult Intelligence Scale – 3rd edition
- (WMQL), white matter query language
- (dTP), dorsal temporal pole
- 22q11.2 deletion syndrome
- Callosal asymmetry
- Diffusion tensor imaging
- Extreme capsule
- Inferior longitudinal fasciculus
- Machine-learning
- Middle longitudinal fascicle
- Support vector machine
- Velocardiofacial syndrome
- White matter query language
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Affiliation(s)
- Daniel S Tylee
- Department of Neuroscience and Physiology, SUNY Upstate Medical University, Syracuse, NY, USA; Department of Psychiatry and Behavioral Sciences; SUNY Upstate Medical University, Syracuse, NY, USA
| | - Zora Kikinis
- Department of Psychiatry, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.
| | - Thomas P Quinn
- Bioinformatics Core Research Group, Deakin University, Geelong, Victoria, Australia
| | | | - Wanda Fremont
- Department of Psychiatry and Behavioral Sciences; SUNY Upstate Medical University, Syracuse, NY, USA.
| | - Muhammad A Tahir
- Department of Psychiatry and Behavioral Sciences; SUNY Upstate Medical University, Syracuse, NY, USA
| | - Anni Zhu
- Department of Psychiatry, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Xue Gong
- Department of Psychiatry, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Stephen J Glatt
- Department of Neuroscience and Physiology, SUNY Upstate Medical University, Syracuse, NY, USA; Department of Psychiatry and Behavioral Sciences; SUNY Upstate Medical University, Syracuse, NY, USA.
| | - Ioana L Coman
- Department of Psychiatry and Behavioral Sciences; SUNY Upstate Medical University, Syracuse, NY, USA.
| | - Martha E Shenton
- 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; VA Boston Healthcare System, Harvard Medical School, Brockton, MA, USA.
| | - Wendy R Kates
- Department of Psychiatry and Behavioral Sciences; SUNY Upstate Medical University, Syracuse, NY, USA.
| | - Nikos Makris
- Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA; Department of Psychiatry, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA.
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Thompson CA, Karelis J, Middleton FA, Gentile K, Coman IL, Radoeva PD, Mehta R, Fremont WP, Antshel KM, Faraone SV, Kates WR. Associations between neurodevelopmental genes, neuroanatomy, and ultra high risk symptoms of psychosis in 22q11.2 deletion syndrome. Am J Med Genet B Neuropsychiatr Genet 2017; 174:295-314. [PMID: 28139055 DOI: 10.1002/ajmg.b.32515] [Citation(s) in RCA: 25] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/14/2016] [Accepted: 11/07/2016] [Indexed: 11/06/2022]
Abstract
22q11.2 deletion syndrome is a neurogenetic disorder resulting in the deletion of over 40 genes. Up to 40% of individuals with 22q11.2DS develop schizophrenia, though little is known about the underlying mechanisms. We hypothesized that allelic variation in functional polymorphisms in seven genes unique to the deleted region would affect lobar brain volumes, which would predict risk for psychosis in youth with 22q11.2DS. Participants included 56 individuals (30 males) with 22q11.2DS. Anatomic MR images were collected and processed using Freesurfer. Participants were genotyped for 10 SNPs in the COMT, DGCR8, GNB1L, PIK4CA, PRODH, RTN4R, and ZDHHC8 genes. All subjects were assessed for ultra high risk symptoms of psychosis. Allelic variation of the rs701428 SNP of RTN4R was significantly associated with volumetric differences in gray matter of the lingual gyrus and cuneus of the occipital lobe. Moreover, occipital gray matter volumes were robustly associated with ultra high risk symptoms of psychosis in the presence of the G allele of rs701428. Our results suggest that RTN4R, a relatively under-studied gene at the 22q11 locus, constitutes a susceptibility gene for psychosis in individuals with this syndrome through its alteration of the architecture of the brain. © 2017 Wiley Periodicals, Inc.
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Affiliation(s)
- Carlie A Thompson
- Department of Psychiatry and Behavioral Sciences, SUNY Upstate Medical University, Syracuse, New York
| | - Jason Karelis
- Department of Psychiatry and Behavioral Sciences, SUNY Upstate Medical University, Syracuse, New York
| | - Frank A Middleton
- Department of Psychiatry and Behavioral Sciences, SUNY Upstate Medical University, Syracuse, New York.,Department of Neuroscience, SUNY Upstate Medical University, Syracuse, New York
| | - Karen Gentile
- Department of Neuroscience, SUNY Upstate Medical University, Syracuse, New York
| | - Ioana L Coman
- Department of Computer Science, SUNY Oswego, Oswego, New York
| | - Petya D Radoeva
- Department of Psychiatry, University of Washington, Seattle, Washington
| | - Rashi Mehta
- Department of Radiology, SUNY Upstate Medical University, Syracuse, New York
| | - Wanda P Fremont
- Department of Psychiatry and Behavioral Sciences, SUNY Upstate Medical University, Syracuse, New York
| | - Kevin M Antshel
- Department of Psychiatry and Behavioral Sciences, SUNY Upstate Medical University, Syracuse, New York.,Department of Psychology, Syracuse University, Syracuse, New York
| | - Stephen V Faraone
- Department of Psychiatry and Behavioral Sciences, SUNY Upstate Medical University, Syracuse, New York
| | - Wendy R Kates
- Department of Psychiatry and Behavioral Sciences, SUNY Upstate Medical University, Syracuse, New York
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Olszewski AK, Kikinis Z, Gonzalez CS, Coman IL, Makris N, Gong X, Rathi Y, Zhu A, Antshel KM, Fremont W, Kubicki MR, Bouix S, Shenton ME, Kates WR. The social brain network in 22q11.2 deletion syndrome: a diffusion tensor imaging study. Behav Brain Funct 2017; 13:4. [PMID: 28209179 PMCID: PMC5314621 DOI: 10.1186/s12993-017-0122-7] [Citation(s) in RCA: 23] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/11/2016] [Accepted: 02/05/2017] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Chromosome 22q11.2 deletion syndrome (22q11.2DS) is a neurogenetic disorder that is associated with a 25-fold increase in schizophrenia. Both individuals with 22q11.2DS and those with schizophrenia present with social cognitive deficits, which are putatively subserved by a network of brain regions that are involved in the processing of social cognitive information. This study used two-tensor tractography to examine the white matter tracts believed to underlie the social brain network in a group of 57 young adults with 22q11.2DS compared to 30 unaffected controls. RESULTS Results indicated that relative to controls, participants with 22q11.2DS showed significant differences in several DTI metrics within the inferior fronto-occipital fasciculus, cingulum bundle, thalamo-frontal tract, and inferior longitudinal fasciculus. In addition, participants with 22q11.2DS showed significant differences in scores on measures of social cognition, including the Social Responsiveness Scale and Trait Emotional Intelligence Questionnaire. Further analyses among individuals with 22q11.2DS demonstrated an association between DTI metrics and positive and negative symptoms of psychosis, as well as differentiation between individuals with 22q11.2DS and overt psychosis, relative to those with positive prodromal symptoms or no psychosis. CONCLUSIONS Findings suggest that white matter disruption, specifically disrupted axonal coherence in the right inferior fronto-occipital fasciculus, may be a biomarker for social cognitive difficulties and psychosis in individuals with 22q11.2DS.
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Affiliation(s)
- Amy K Olszewski
- Department of Psychiatry, SUNY Upstate Medical University, 750 E. Adams St., Syracuse, NY, 13210, USA
| | - Zora Kikinis
- Department of Psychiatry, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | | | - Ioana L Coman
- Department of Psychiatry, SUNY Upstate Medical University, 750 E. Adams St., Syracuse, NY, 13210, USA
| | - Nikolaos Makris
- Department of Psychiatry, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.,Departments of Psychiatry and Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Xue Gong
- Department of Psychiatry, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Yogesh Rathi
- Department of Psychiatry, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Anni Zhu
- Department of Psychiatry, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | | | - Wanda Fremont
- Department of Psychiatry, SUNY Upstate Medical University, 750 E. Adams St., Syracuse, NY, 13210, USA
| | - Marek R Kubicki
- 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
| | - Sylvain Bouix
- Department of Psychiatry, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Martha E Shenton
- Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.,VA Boston Healthcare System, Harvard Medical School, Brockton, MA, USA
| | - Wendy R Kates
- Department of Psychiatry, SUNY Upstate Medical University, 750 E. Adams St., Syracuse, NY, 13210, USA.
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Bakker G, Caan MWA, Vingerhoets WAM, da Silva- Alves F, de Koning M, Boot E, Nieman DH, de Haan L, Bloemen OJ, Booij J, van Amelsvoort TAMJ. Cortical Morphology Differences in Subjects at Increased Vulnerability for Developing a Psychotic Disorder: A Comparison between Subjects with Ultra-High Risk and 22q11.2 Deletion Syndrome. PLoS One 2016; 11:e0159928. [PMID: 27828960 PMCID: PMC5102447 DOI: 10.1371/journal.pone.0159928] [Citation(s) in RCA: 21] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/22/2016] [Accepted: 07/11/2016] [Indexed: 01/14/2023] Open
Abstract
Introduction Subjects with 22q11.2 deletion syndrome (22q11DS) and subjects with ultra-high risk for psychosis (UHR) share a risk of approximately 30% to develop a psychotic disorder. Studying these groups helps identify biological markers of pathophysiological processes involved in the development of psychosis. Total cortical surface area (cSA), total cortical grey matter volume (cGMV), cortical thickness (CT), and local gyrification index (LGI) of the cortical structure have a distinct neurodevelopmental origin making them important target markers to study in relation to the development of psychosis. Materials and Methods Structural T1-weighted high resolution images were acquired using a 3 Tesla Intera MRI system in 18 UHR subjects, 18 22q11DS subjects, and 24 matched healthy control (HC) subjects. Total cSA, total cGMV, mean CT, and regional vertex-wise differences in CT and LGI were assessed using FreeSurfer software. The Positive and Negative Syndrome Scale was used to assess psychotic symptom severity in UHR and 22q11DS subjects at time of scanning. Results 22q11DS subjects had lower total cSA and total cGMV compared to UHR and HC subjects. The 22q11DS subjects showed bilateral lower LGI in the i) prefrontal cortex, ii) precuneus, iii) precentral gyrus and iv) cuneus compared to UHR subjects. Additionally, lower LGI was found in the left i) fusiform gyrus and right i) pars opercularis, ii) superior, and iii) inferior temporal gyrus in 22q11DS subjects compared to HC. In comparison to 22q11DS subjects, the UHR subjects had lower CT of the insula. For both risk groups, positive symptom severity was negatively correlated to rostral middle frontal gyrus CT. Conclusion A shared negative correlation between positive symptom severity and rostral middle frontal gyrus CT in UHR and 22q11DS may be related to their increased vulnerability to develop a psychotic disorder. 22q11DS subjects were characterised by widespread lower degree of cortical gyrification linked to early and postnatal neurodevelopmental pathology. No implications for early neurodevelopmental pathology were found for the UHR subjects, although they did have distinctively lower insula CT which may have arisen from defective pruning processes during adolescence. Implications of these findings in relation to development of psychotic disorders are in need of further investigation in longitudinal studies.
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Affiliation(s)
- Geor Bakker
- Department of Psychiatry & Psychology, University of Maastricht, Maastricht, The Netherlands
- Department of Nuclear Medicine, Academic Medical Center, University of Amsterdam, Amsterdam, The Netherlands
- * E-mail:
| | - Matthan W. A. Caan
- Department of Radiology, Academic Medical Center, University of Amsterdam, Amsterdam, The Netherlands
| | - Wilhelmina A. M. Vingerhoets
- Department of Psychiatry & Psychology, University of Maastricht, Maastricht, The Netherlands
- Department of Nuclear Medicine, Academic Medical Center, University of Amsterdam, Amsterdam, The Netherlands
| | - Fabiana da Silva- Alves
- Department of Nuclear Medicine, Academic Medical Center, University of Amsterdam, Amsterdam, The Netherlands
| | | | - Erik Boot
- Department of Nuclear Medicine, Academic Medical Center, University of Amsterdam, Amsterdam, The Netherlands
- The Dalglish Family 22q Clinic, Toronto, Ontario, Canada
| | - Dorien H. Nieman
- Department of Psychiatry, Academic Medical Center, University of Amsterdam, Amsterdam, The Netherlands
| | - Lieuwe de Haan
- Department of Psychiatry, Academic Medical Center, University of Amsterdam, Amsterdam, The Netherlands
- Arkin Mental Health Care, Amsterdam, The Netherlands
| | - Oswald J. Bloemen
- Department of Psychiatry & Psychology, University of Maastricht, Maastricht, The Netherlands
- GGZ Centraal, Center for Mental Health Care Innova, Amersfoort, The Netherlands
| | - Jan Booij
- Department of Nuclear Medicine, Academic Medical Center, University of Amsterdam, Amsterdam, The Netherlands
| | - Thérèse A. M. J. van Amelsvoort
- Department of Psychiatry & Psychology, University of Maastricht, Maastricht, The Netherlands
- Department of Nuclear Medicine, Academic Medical Center, University of Amsterdam, Amsterdam, The Netherlands
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29
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Bakker G, Caan MWA, Schluter RS, Bloemen OJN, da Silva-Alves F, de Koning MB, Boot E, Vingerhoets WAM, Nieman DH, de Haan L, Booij J, van Amelsvoort TAMJ. Distinct white-matter aberrations in 22q11.2 deletion syndrome and patients at ultra-high risk for psychosis. Psychol Med 2016; 46:2299-2311. [PMID: 27193339 DOI: 10.1017/s0033291716000970] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/20/2022]
Abstract
BACKGROUND Patients with a deletion at chromosome 22q11.2 (22q11DS) have 30% lifetime risk of developing a psychosis. People fulfilling clinical criteria for ultra-high risk (UHR) for psychosis have 30% risk of developing a psychosis within 2 years. Both high-risk groups show white-matter (WM) abnormalities in microstructure and volume compared to healthy controls (HC), which have been related to psychotic symptoms. Comparisons of WM pathology between these two groups may specify WM markers related to genetic and clinical risk factors. METHOD Fractional anisotropy (FA), axial diffusivity (AD), radial diffusivity (RD) and mean diffusivity (MD) were assessed using diffusion tensor magnetic resonance imaging (MRI), and WM volume with structural MRI, in 23 UHR patients, 21 22q11DS patients, and 33 HC. RESULTS Compared to UHR patients 22q11DS patients had (1) lower AD and RD in corpus callosum (CC), cortical fasciculi, and anterior thalamic radiation (ATR), (2) higher FA in CC and ATR, and (3) lower occipital and superior temporal gyrus WM volume. Compared to HC, 22q11DS patients had (1) lower AD and RD throughout cortical fasciculi and (2) higher FA in ATR, CC and inferior fronto-occipital fasciculus. Compared to HC, UHR patients had (1) higher mean MD, RD, and AD in CC, ATR and cortical fasciculi, (2) no differences in FA. CONCLUSIONS UHR and 22q11DS patients share a susceptibility for developing psychosis yet were characterized by distinct patterns of WM alterations relative to HC. While UHR patients were typified by signs suggestive of aberrant myelination, 22q11DS subjects showed signs suggestive of lower axonal integrity.
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Affiliation(s)
- G Bakker
- Department of Psychiatry & Psychology,University of Maastricht,The Netherlands
| | - M W A Caan
- Department of Radiology,Academic Medical Center, University of Amsterdam,Amsterdam,The Netherlands
| | - R S Schluter
- Department of Radiology,Academic Medical Center, University of Amsterdam,Amsterdam,The Netherlands
| | - O J N Bloemen
- Department of Psychiatry & Psychology,University of Maastricht,The Netherlands
| | - F da Silva-Alves
- Department of Psychiatry,Academic Medical Center, University of Amsterdam,Amsterdam,The Netherlands
| | - M B de Koning
- Department of Psychiatry,Academic Medical Center, University of Amsterdam,Amsterdam,The Netherlands
| | - E Boot
- Department of Nuclear Medicine,Academic Medical Center, University of Amsterdam,Amsterdam,The Netherlands
| | - W A M Vingerhoets
- Department of Psychiatry & Psychology,University of Maastricht,The Netherlands
| | - D H Nieman
- Department of Psychiatry,Academic Medical Center, University of Amsterdam,Amsterdam,The Netherlands
| | - L de Haan
- Department of Psychiatry,Academic Medical Center, University of Amsterdam,Amsterdam,The Netherlands
| | - J Booij
- Department of Nuclear Medicine,Academic Medical Center, University of Amsterdam,Amsterdam,The Netherlands
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30
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Wang MH, Sun R, Guo J, Weng H, Lee J, Hu I, Sham PC, Zee BCY. A fast and powerful W-test for pairwise epistasis testing. Nucleic Acids Res 2016; 44:e115. [PMID: 27112568 PMCID: PMC4937324 DOI: 10.1093/nar/gkw347] [Citation(s) in RCA: 19] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/08/2015] [Revised: 04/14/2016] [Accepted: 04/15/2016] [Indexed: 01/08/2023] Open
Abstract
Epistasis plays an essential role in the development of complex diseases. Interaction methods face common challenge of seeking a balance between persistent power, model complexity, computation efficiency, and validity of identified bio-markers. We introduce a novel W-test to identify pairwise epistasis effect, which measures the distributional difference between cases and controls through a combined log odds ratio. The test is model-free, fast, and inherits a Chi-squared distribution with data adaptive degrees of freedom. No permutation is needed to obtain the P-values. Simulation studies demonstrated that the W-test is more powerful in low frequency variants environment than alternative methods, which are the Chi-squared test, logistic regression and multifactor-dimensionality reduction (MDR). In two independent real bipolar disorder genome-wide associations (GWAS) datasets, the W-test identified significant interactions pairs that can be replicated, including SLIT3-CENPN, SLIT3-TMEM132D, CNTNAP2-NDST4 and CNTCAP2-RTN4R The genes in the pairs play central roles in neurotransmission and synapse formation. A majority of the identified loci are undiscoverable by main effect and are low frequency variants. The proposed method offers a powerful alternative tool for mapping the genetic puzzle underlying complex disorders.
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Affiliation(s)
- Maggie Haitian Wang
- Division of Biostatistics and Centre for Clinical Research and Biostatistics, JC School of Public Health and Primary Care, the Chinese University of Hong Kong, Shatin, N.T., Hong Kong SAR, China CUHK Shenzhen Research Institute, Shenzhen, China
| | - Rui Sun
- Division of Biostatistics and Centre for Clinical Research and Biostatistics, JC School of Public Health and Primary Care, the Chinese University of Hong Kong, Shatin, N.T., Hong Kong SAR, China CUHK Shenzhen Research Institute, Shenzhen, China
| | - Junfeng Guo
- The Australian National University, Canberra, Australia
| | - Haoyi Weng
- Division of Biostatistics and Centre for Clinical Research and Biostatistics, JC School of Public Health and Primary Care, the Chinese University of Hong Kong, Shatin, N.T., Hong Kong SAR, China CUHK Shenzhen Research Institute, Shenzhen, China
| | - Jack Lee
- Division of Biostatistics and Centre for Clinical Research and Biostatistics, JC School of Public Health and Primary Care, the Chinese University of Hong Kong, Shatin, N.T., Hong Kong SAR, China
| | - Inchi Hu
- ISOM Department and Biomedical Engineering Division, the Hong Kong University of Science and Technology, Kowloon, Hong Kong SAR, China
| | - Pak Chung Sham
- Department of Psychiatry; Centre for Genomic Sciences, the University of Hong Kong, Pok Fu Lam, Hong Kong SAR, China
| | - Benny Chung-Ying Zee
- Division of Biostatistics and Centre for Clinical Research and Biostatistics, JC School of Public Health and Primary Care, the Chinese University of Hong Kong, Shatin, N.T., Hong Kong SAR, China CUHK Shenzhen Research Institute, Shenzhen, China
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31
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Biswas AB, Furniss F. Cognitive phenotype and psychiatric disorder in 22q11.2 deletion syndrome: A review. RESEARCH IN DEVELOPMENTAL DISABILITIES 2016; 53-54:242-257. [PMID: 26942704 DOI: 10.1016/j.ridd.2016.02.010] [Citation(s) in RCA: 34] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/17/2015] [Revised: 02/20/2016] [Accepted: 02/22/2016] [Indexed: 06/05/2023]
Abstract
The behavioural phenotype of 22q11.2 deletion syndrome syndrome (22q11DS), one of the most common human multiple anomaly syndromes, frequently includes intellectual disability (ID) together with high risk of diagnosis of psychotic disorders including schizophrenia. Candidate cognitive endophenotypes include problems with retrieval of contextual information from memory and in executive control and focussing of attention. 22q11DS may offer a model of the relationship between ID and risk of psychiatric disorder. This paper reviews research on the relationship between the cognitive phenotype and the development of psychiatric disorders in 22q11DS. Aspects of cognitive function including verbal I.Q., visual memory, and executive function, are associated with mental health outcome in people with 22q11DS. This relationship may result from a common neurobiological basis for the cognitive difficulties and psychiatric disorders. Some of the cognitive difficulties experienced by people with 22q11DS, especially in attention, memory retrieval, and face processing, may, however, in themselves constitute risk factors for development of hallucinations and paranoid delusions. Future research into factors leading to psychiatric disorder in people with 22q11DS should include assessment of social and psychological factors including life events, symptoms associated with trauma, attachment, and self-esteem, which together with cognitive risk factors may mediate mental health outcome.
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Affiliation(s)
- Asit B Biswas
- Leicestershire Partnership NHS Trust & University of Leicester* Leicester Frith Hospital, Groby Road, Leicester LE3 9QF, UK.
| | - Frederick Furniss
- The Hesley Group* Doncaster* U.K. & University of Leicester, 104 Regent Road, Leicester LE1 7LT, UK.
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32
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Scariati E, Padula MC, Schaer M, Eliez S. Long-range dysconnectivity in frontal and midline structures is associated to psychosis in 22q11.2 deletion syndrome. J Neural Transm (Vienna) 2016; 123:823-39. [PMID: 27094177 DOI: 10.1007/s00702-016-1548-z] [Citation(s) in RCA: 32] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/08/2015] [Accepted: 04/04/2016] [Indexed: 12/23/2022]
Abstract
Patients affected by 22q11.2 deletion syndrome (22q11DS) present a characteristic cognitive and psychiatric profile and have a genetic predisposition to develop schizophrenia. Although brain morphological alterations have been shown in the syndrome, they do not entirely account for the complex clinical picture of the patients with 22q11DS and for their high risk of psychotic symptoms. Since Friston proposed the "disconnection hypothesis" in 1998, schizophrenia is commonly considered as a disorder of brain connectivity. In this study, we review existing evidence pointing to altered brain structural and functional connectivity in 22q11DS, with a specific focus on the role of dysconnectivity in the emergence of psychotic symptoms. We show that widespread alterations of structural and functional connectivity have been described in association with 22q11DS. Moreover, alterations involving long-range association tracts as well as midline structures, such as the corpus callosum and the cingulate gyrus, have been associated with psychotic symptoms in this population. These results suggest common mechanisms for schizophrenia in syndromic and non-syndromic populations. Future directions for investigations are also discussed.
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Affiliation(s)
- E Scariati
- Office Médico-Pédagogique, Department of Psychiatry, University of Geneva, Rue David-Dufour 1, Case Postale 50, 1211, Genève 8, Switzerland.
| | - M C Padula
- Office Médico-Pédagogique, Department of Psychiatry, University of Geneva, Rue David-Dufour 1, Case Postale 50, 1211, Genève 8, Switzerland.
| | - M Schaer
- Office Médico-Pédagogique, Department of Psychiatry, University of Geneva, Rue David-Dufour 1, Case Postale 50, 1211, Genève 8, Switzerland.,Stanford Cognitive and Systems Neuroscience Laboratory, Stanford University, Stanford, CA, USA
| | - S Eliez
- Office Médico-Pédagogique, Department of Psychiatry, University of Geneva, Rue David-Dufour 1, Case Postale 50, 1211, Genève 8, Switzerland.,Department of Genetic Medicine and Development, University of Geneva, Geneva, Switzerland
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33
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Thomas RA, Ambalavanan A, Rouleau GA, Barker PA. Identification of genetic variants of LGI1 and RTN4R (NgR1) linked to schizophrenia that are defective in NgR1-LGI1 signaling. Mol Genet Genomic Med 2016; 4:447-56. [PMID: 27468420 PMCID: PMC4947863 DOI: 10.1002/mgg3.215] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/16/2015] [Revised: 02/17/2016] [Accepted: 02/19/2016] [Indexed: 12/29/2022] Open
Abstract
Background The protein NgR1 is encoded by RTN4R, a gene linked to schizophrenia. We previously reported NgR1 as receptor for the epilepsy‐linked protein LGI1. NgR1 regulates synapse number and synaptic plasticity, whereas LGI1 antagonizes NgR1 signaling and promotes synapse formation. Impairments in synapse formation are common in neurological disease and we hypothesized that an LGI1–NgR1 signaling pathway may contribute to the development of schizophrenia. Methods We screened two unrelated schizophrenic populations for variants in RTN4R and LGI1 using whole exome sequencing and Sanger sequencing. We tested the ability of LGI1 to bind rare coding variants of NgR1 using a cell surface binding assays and the signaling ability of NgR1 using COS7 cell‐spreading assays. Results We observed a previously reported rare coding variant in RTN4R (c.1195C>T, pR399W). We report the first LGI1 mutations to be identified in individuals with schizophrenia. Three different LGI1 mutations were found, two missense mutations (c.205G>A, p.V69I) and (c.313G>A, V105M), and an intronic variant (g.897T>C) that likely leads to a protein truncation. We found NgR1R119W and NgR1277C have a reduced ability to bind LGI1 in a cell surface binding assay. COS7 cell‐spreading assays reveal that NgR1 mutants are impaired in their ability to mediate RhoA activation. Conclusion Variants in NgR1 and LGI1 may be associated with schizophrenia and variants in NgR1 found in schizophrenic patients have impaired LGI1–NgR1 signaling. Impaired LGI1–NgR1 signaling may contribute to disease progression.
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Affiliation(s)
- Rhalena A Thomas
- Department of Neurology and Neurosurgery Montreal Neurological Institute McGill University 3801 University Montreal Quebec H3A 2B4 Canada
| | - Amirthagowri Ambalavanan
- Department of Human Genetics McGill University 1205 Dr Penfield Avenue Montreal Quebec H3A 1B1 Canada
| | - Guy A Rouleau
- Department of Neurology and NeurosurgeryMontreal Neurological InstituteMcGill University3801 UniversityMontrealQuebecH3A 2B4Canada; Department of Human GeneticsMcGill University1205 Dr Penfield AvenueMontrealQuebecH3A 1B1Canada
| | - Philip A Barker
- Department of Neurology and NeurosurgeryMontreal Neurological InstituteMcGill University3801 UniversityMontrealQuebecH3A 2B4Canada; Department of BiologyUniversity of British ColumbiaKelownaBC. V1V 1V7Canada
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Mueller BA, Lim KO, Hemmy L, Camchong J. Diffusion MRI and its Role in Neuropsychology. Neuropsychol Rev 2015; 25:250-71. [PMID: 26255305 PMCID: PMC4807614 DOI: 10.1007/s11065-015-9291-z] [Citation(s) in RCA: 26] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/04/2015] [Accepted: 07/21/2015] [Indexed: 12/13/2022]
Abstract
Diffusion Magnetic Resonance Imaging (dMRI) is a popular method used by neuroscientists to uncover unique information about the structural connections within the brain. dMRI is a non-invasive imaging methodology in which image contrast is based on the diffusion of water molecules in tissue. While applicable to many tissues in the body, this review focuses exclusively on the use of dMRI to examine white matter in the brain. In this review, we begin with a definition of diffusion and how diffusion is measured with MRI. Next we introduce the diffusion tensor model, the predominant model used in dMRI. We then describe acquisition issues related to acquisition parameters and scanner hardware and software. Sources of artifacts are then discussed, followed by a brief review of analysis approaches. We provide an overview of the limitations of the traditional diffusion tensor model, and highlight several more sophisticated non-tensor models that better describe the complex architecture of the brain's white matter. We then touch on reliability and validity issues of diffusion measurements. Finally, we describe examples of ways in which dMRI has been applied to studies of brain disorders and how identified alterations relate to symptomatology and cognition.
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Isobe M, Tanigaki K, Muraki K, Miyata J, Takemura A, Sugihara G, Takahashi H, Aso T, Fukuyama H, Hazama M, Murai T. Polymorphism within a Neuronal Activity-Dependent Enhancer of NgR1 Is Associated with Corpus Callosum Morphology in Humans. MOLECULAR NEUROPSYCHIATRY 2015; 1:105-15. [PMID: 27602360 DOI: 10.1159/000430463] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/29/2014] [Accepted: 04/13/2015] [Indexed: 11/19/2022]
Abstract
The human Nogo-66 receptor 1 (NgR1) gene, also termed Nogo receptor 1 or reticulon 4 receptor (RTN4R) and located within 22q11.2, inhibits axonal growth and synaptic plasticity. Patients with the 22q11.2 deletion syndrome show multiple changes in brain morphology, with corpus callosum (CC) abnormalities being among the most prominent and frequently reported. Thus, we hypothesized that, in humans, NgR1 may be involved in CC formation. We focused on rs701428, a single nucleotide polymorphism of NgR1, which is associated with schizophrenia. We investigated the effects of the rs701428 genotype on CC structure in 50 healthy participants using magnetic resonance imaging. Polymorphism of rs701428 was associated with CC structural variation in healthy participants; specifically, minor A allele carriers had larger whole CC volumes and lower radial diffusivity in the central CC region compared with major G allele homozygous participants. Furthermore, we showed that the NgR1 3' region, which contains rs701428, is a neuronal activity-dependent enhancer, and that the minor A allele of rs701428 is susceptible to regulation of enhancer activity by MYBL2. Our results suggest that NgR1 can influence the macro- and microstructure of the white matter of the human brain.
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Affiliation(s)
- Masanori Isobe
- Department of Psychiatry, Graduate School of Medicine, Kyoto University, Kyoto, Japan
| | - Kenji Tanigaki
- Shiga Medical Center Research Institute, Moriyama, Japan
| | - Kazue Muraki
- Shiga Medical Center Research Institute, Moriyama, Japan
| | - Jun Miyata
- Department of Psychiatry, Graduate School of Medicine, Kyoto University, Kyoto, Japan
| | - Ariyoshi Takemura
- Department of Psychiatry, Graduate School of Medicine, Kyoto University, Kyoto, Japan
| | - Genichi Sugihara
- Department of Psychiatry, Graduate School of Medicine, Kyoto University, Kyoto, Japan
| | - Hidehiko Takahashi
- Department of Psychiatry, Graduate School of Medicine, Kyoto University, Kyoto, Japan
| | - Toshihiko Aso
- Human Brain Research Center, Kyoto University, Kyoto, Japan
| | | | - Masaaki Hazama
- Department of Psychiatry, Graduate School of Medicine, Kyoto University, Kyoto, Japan
| | - Toshiya Murai
- Department of Psychiatry, Graduate School of Medicine, Kyoto University, Kyoto, Japan
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Molecular substrates of altered axonal growth and brain connectivity in a mouse model of schizophrenia. Neuron 2015; 86:680-95. [PMID: 25913858 DOI: 10.1016/j.neuron.2015.04.003] [Citation(s) in RCA: 122] [Impact Index Per Article: 13.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/14/2014] [Revised: 01/24/2015] [Accepted: 03/16/2015] [Indexed: 11/20/2022]
Abstract
22q11.2 deletion carriers show specific cognitive deficits, and ∼30% of them develop schizophrenia. One of the disrupted genes is ZDHHC8, which encodes for a palmitoyltransferase. We show that Zdhhc8-deficient mice have reduced palmitoylation of proteins that regulate axonal growth and branching. Analysis of axonal projections of pyramidal neurons from both Zdhhc8-deficient and Df(16)A(+/-) mice, which model the 22q11.2 deletion, revealed deficits in axonal growth and terminal arborization, which can be prevented by reintroduction of active ZDHHC8 protein. Impaired terminal arborization is accompanied by a reduction in the strength of synaptic connections and altered functional connectivity and working memory. The effect of ZDHHC8 is mediated in part via Cdc42-dependent modulation of Akt/Gsk3β signaling at the tip of the axon and can be reversed by pharmacologically decreasing Gsk3β activity during postnatal brain development. Our findings provide valuable mechanistic insights into the cognitive and psychiatric symptoms associated with a schizophrenia-predisposing mutation.
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Kates WR, Olszewski AK, Gnirke MH, Kikinis Z, Nelson J, Antshel KM, Fremont W, Radoeva PD, Middleton FA, Shenton ME, Coman IL. White matter microstructural abnormalities of the cingulum bundle in youths with 22q11.2 deletion syndrome: associations with medication, neuropsychological function, and prodromal symptoms of psychosis. Schizophr Res 2015; 161:76-84. [PMID: 25066496 PMCID: PMC4277733 DOI: 10.1016/j.schres.2014.07.010] [Citation(s) in RCA: 35] [Impact Index Per Article: 3.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/15/2014] [Revised: 07/02/2014] [Accepted: 07/03/2014] [Indexed: 11/17/2022]
Abstract
BACKGROUND The 22q11.2 deletion syndrome (22q11.2DS) is regarded as an etiologically homogenous model for understanding neuroanatomic disruptions associated with a high risk for schizophrenia. This study utilized diffusion tensor imaging (DTI) to analyze white matter microstructure in individuals with 22q11.2DS. We focused on the cingulum bundle (CB), previously shown to be disrupted in patients with schizophrenia and associated with symptoms of psychosis. METHODS White matter microstructure was assessed in the anterior, superior, and posterior CB using the tractography algorithm in DTIStudio. Neuropsychological function, presence of prodromal symptoms of psychosis, and medication history were assessed in all participants. RESULTS Relative to controls, young adults with 22q11.2DS showed alterations in most DTI metrics of the CB. Alterations were associated with positive prodromal symptoms of psychosis. However, when individuals with 22q11.2DS were divided by usage of antipsychotics/mood stabilizers, the medicated and non-medicated groups differed significantly in axial diffusivity of the anterior CB and in fractional anisotropy of the superior CB. DTI metrics did not differ between the medicated group and the control group. CONCLUSIONS Results suggest that the microstructure of the CB is altered in individuals with 22q11.2DS, and that those alterations may underlie positive prodromal symptoms of psychosis. Our findings further provide preliminary evidence that antipsychotic/mood stabilizer usage may have a reparative effect on white matter microstructure in prodromal 22q11.2DS, independent of the potential effects of psychosis. Future studies of white matter pathology in individuals with 22q11.2DS should test for potential effects of medication on white matter microstructure.
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Affiliation(s)
- Wendy R Kates
- Department of Psychiatry and Behavioral Sciences, State University of New York at Upstate Medical University, Syracuse, NY, United States.
| | - Amy K Olszewski
- Department of Psychiatry and Behavioral Sciences, State University of New York at Upstate Medical University, Syracuse, NY, United States
| | - Matthew H Gnirke
- Department of Psychiatry and Behavioral Sciences, State University of New York at Upstate Medical University, Syracuse, NY, United States
| | - Zora Kikinis
- Department of Psychiatry, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, United States
| | - Joshua Nelson
- Department of Psychiatry and Behavioral Sciences, State University of New York at Upstate Medical University, Syracuse, NY, United States
| | - Kevin M Antshel
- Department of Psychiatry and Behavioral Sciences, State University of New York at Upstate Medical University, Syracuse, NY, United States; Department of Psychology, Syracuse University, Syracuse, NY, United States
| | - Wanda Fremont
- Department of Psychiatry and Behavioral Sciences, State University of New York at Upstate Medical University, Syracuse, NY, United States
| | - Petya D Radoeva
- Department of Psychiatry and Behavioral Sciences, State University of New York at Upstate Medical University, Syracuse, NY, United States
| | - Frank A Middleton
- Department of Psychiatry and Behavioral Sciences, State University of New York at Upstate Medical University, Syracuse, NY, United States; Department of Neuroscience and Physiology, State University of New York at Upstate Medical University, Syracuse, NY, United States
| | - Martha E Shenton
- Department of Psychiatry, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, United States; Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, United States; VA Boston Healthcare System, Brockton Division, Brockton, MA, United States
| | - Ioana L Coman
- Department of Psychiatry and Behavioral Sciences, State University of New York at Upstate Medical University, Syracuse, NY, United States
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Glial cells as key players in schizophrenia pathology: recent insights and concepts of therapy. Schizophr Res 2015; 161:4-18. [PMID: 24948484 DOI: 10.1016/j.schres.2014.03.035] [Citation(s) in RCA: 147] [Impact Index Per Article: 16.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/15/2014] [Revised: 02/27/2014] [Accepted: 03/01/2014] [Indexed: 02/07/2023]
Abstract
The past decade has witnessed an explosion of knowledge on the impact of glia for the neurobiological foundation of schizophrenia. A plethora of studies have shown structural and functional abnormalities in all three types of glial cells. There is convincing evidence of reduced numbers of oligodendrocytes, impaired cell maturation and altered gene expression of myelin/oligodendrocyte-related genes that may in part explain white matter abnormalities and disturbed inter- and intra-hemispheric connectivity, which are characteristic signs of schizophrenia. Earlier reports of astrogliosis could not be confirmed by later studies, although the expression of a variety of astrocyte-related genes is abnormal in psychosis. Since astrocytes play a key role in the synaptic metabolism of glutamate, GABA, monoamines and purines, astrocyte dysfunction may contribute to certain aspects of disturbed neurotransmission in schizophrenia. Finally, increased densities of microglial cells and aberrant expression of microglia-related surface markers in schizophrenia suggest that immunological/inflammatory factors are of considerable relevance for the pathophysiology of psychosis. This review describes current evidence for the multifaceted role of glial cells in schizophrenia and discusses efforts to develop glia-directed therapies for the treatment of the disease.
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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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