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Wang YM, Cai XL, Zhang RT, Zhang YJ, Zhou HY, Wang Y, Wang Y, Huang J, Wang YY, Cheung EFC, Chan RCK. Altered brain structural and functional connectivity in schizotypy. Psychol Med 2022; 52:834-843. [PMID: 32677599 DOI: 10.1017/s0033291720002445] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/19/2022]
Abstract
BACKGROUND Schizotypy refers to schizophrenia-like traits below the clinical threshold in the general population. The pathological development of schizophrenia has been postulated to evolve from the initial coexistence of 'brain disconnection' and 'brain connectivity compensation' to 'brain connectivity decompensation'. METHODS In this study, we examined the brain connectivity changes associated with schizotypy by combining brain white matter structural connectivity, static and dynamic functional connectivity analysis of diffusion tensor imaging data and resting-state functional magnetic resonance imaging data. A total of 87 participants with a high level of schizotypal traits and 122 control participants completed the experiment. Group differences in whole-brain white matter structural connectivity probability, static mean functional connectivity strength, dynamic functional connectivity variability and stability among 264 brain sub-regions of interests were investigated. RESULTS We found that individuals with high schizotypy exhibited increased structural connectivity probability within the task control network and within the default mode network; increased variability and decreased stability of functional connectivity within the default mode network and between the auditory network and the subcortical network; and decreased static mean functional connectivity strength mainly associated with the sensorimotor network, the default mode network and the task control network. CONCLUSIONS These findings highlight the specific changes in brain connectivity associated with schizotypy and indicate that both decompensatory and compensatory changes in structural connectivity within the default mode network and the task control network in the context of whole-brain functional disconnection may be an important neurobiological correlate in individuals with high schizotypy.
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Affiliation(s)
- Yong-Ming Wang
- Neuropsychology and Applied Cognitive Neuroscience Laboratory, CAS Key Laboratory of Mental Health, Institute of Psychology, Beijing100101, PR China
- Sino-Danish College, University of Chinese Academy of Sciences, Beijing100190, PR China
- Sino-Danish Center for Education and Research, Beijing100190, PR China
- Department of Psychology, University of Chinese Academy of Sciences, Beijing, PR China
| | - Xin-Lu Cai
- Neuropsychology and Applied Cognitive Neuroscience Laboratory, CAS Key Laboratory of Mental Health, Institute of Psychology, Beijing100101, PR China
- Sino-Danish College, University of Chinese Academy of Sciences, Beijing100190, PR China
- Sino-Danish Center for Education and Research, Beijing100190, PR China
- Department of Psychology, University of Chinese Academy of Sciences, Beijing, PR China
| | - Rui-Ting Zhang
- Neuropsychology and Applied Cognitive Neuroscience Laboratory, CAS Key Laboratory of Mental Health, Institute of Psychology, Beijing100101, PR China
- Department of Psychology, University of Chinese Academy of Sciences, Beijing, PR China
| | - Yi-Jing Zhang
- Neuropsychology and Applied Cognitive Neuroscience Laboratory, CAS Key Laboratory of Mental Health, Institute of Psychology, Beijing100101, PR China
- Department of Psychology, University of Chinese Academy of Sciences, Beijing, PR China
| | - Han-Yu Zhou
- Neuropsychology and Applied Cognitive Neuroscience Laboratory, CAS Key Laboratory of Mental Health, Institute of Psychology, Beijing100101, PR China
- Department of Psychology, University of Chinese Academy of Sciences, Beijing, PR China
| | - Yi Wang
- Neuropsychology and Applied Cognitive Neuroscience Laboratory, CAS Key Laboratory of Mental Health, Institute of Psychology, Beijing100101, PR China
- Department of Psychology, University of Chinese Academy of Sciences, Beijing, PR China
| | - Ya Wang
- Neuropsychology and Applied Cognitive Neuroscience Laboratory, CAS Key Laboratory of Mental Health, Institute of Psychology, Beijing100101, PR China
- Department of Psychology, University of Chinese Academy of Sciences, Beijing, PR China
| | - Jia Huang
- Neuropsychology and Applied Cognitive Neuroscience Laboratory, CAS Key Laboratory of Mental Health, Institute of Psychology, Beijing100101, PR China
- Department of Psychology, University of Chinese Academy of Sciences, Beijing, PR China
| | - Yan-Yu Wang
- Neuropsychology and Applied Cognitive Neuroscience Laboratory, CAS Key Laboratory of Mental Health, Institute of Psychology, Beijing100101, PR China
- Department of Psychology, Weifang Medical University, Shandong Province, PR China
| | - Eric F C Cheung
- Castle Peak Hospital, Hong Kong Special Administrative Region, PR China
| | - Raymond C K Chan
- Neuropsychology and Applied Cognitive Neuroscience Laboratory, CAS Key Laboratory of Mental Health, Institute of Psychology, Beijing100101, PR China
- Sino-Danish College, University of Chinese Academy of Sciences, Beijing100190, PR China
- Sino-Danish Center for Education and Research, Beijing100190, PR China
- Department of Psychology, University of Chinese Academy of Sciences, Beijing, PR China
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Aberrant maturation and connectivity of prefrontal cortex in schizophrenia-contribution of NMDA receptor development and hypofunction. Mol Psychiatry 2022; 27:731-743. [PMID: 34163013 PMCID: PMC8695640 DOI: 10.1038/s41380-021-01196-w] [Citation(s) in RCA: 28] [Impact Index Per Article: 14.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/24/2020] [Revised: 06/02/2021] [Accepted: 06/10/2021] [Indexed: 02/06/2023]
Abstract
The neurobiology of schizophrenia involves multiple facets of pathophysiology, ranging from its genetic basis over changes in neurochemistry and neurophysiology, to the systemic level of neural circuits. Although the precise mechanisms associated with the neuropathophysiology remain elusive, one essential aspect is the aberrant maturation and connectivity of the prefrontal cortex that leads to complex symptoms in various stages of the disease. Here, we focus on how early developmental dysfunction, especially N-methyl-D-aspartate receptor (NMDAR) development and hypofunction, may lead to the dysfunction of both local circuitry within the prefrontal cortex and its long-range connectivity. More specifically, we will focus on an "all roads lead to Rome" hypothesis, i.e., how NMDAR hypofunction during development acts as a convergence point and leads to local gamma-aminobutyric acid (GABA) deficits and input-output dysconnectivity in the prefrontal cortex, which eventually induce cognitive and social deficits. Many outstanding questions and hypothetical mechanisms are listed for future investigations of this intriguing hypothesis that may lead to a better understanding of the aberrant maturation and connectivity associated with the prefrontal cortex.
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Chang X, Mandl RCW, Pasternak O, Brouwer RM, Cahn W, Collin G. Diffusion MRI derived free-water imaging measures in patients with schizophrenia and their non-psychotic siblings. Prog Neuropsychopharmacol Biol Psychiatry 2021; 109:110238. [PMID: 33400942 DOI: 10.1016/j.pnpbp.2020.110238] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/30/2020] [Revised: 12/16/2020] [Accepted: 12/30/2020] [Indexed: 10/22/2022]
Abstract
Free-water imaging is a diffusion MRI technique that separately models water diffusion hindered by fiber tissue and water that disperses freely in the extracellular space. Studies using this technique have shown that schizophrenia is characterized by a lower level of fractional anisotropy of the tissue compartment (FAt) and higher free-water fractional volume (FW). It is unknown, however, whether such abnormalities are an expression of pre-existing (genetic) risk for schizophrenia or a manifestation of the illness. To investigate the contribution of familial risk factors to white matter abnormalities, we used the free-water imaging technique to assess FAt and FW in a large cohort of 471 participants including 161 patients with schizophrenia, 182 non-psychotic siblings, and 128 healthy controls. In this sample, patients did not show significant differences in FAt as compared to controls, but did exhibit a higher level of FW relative to both controls and siblings in the left uncinate fasciculus, superior corona radiata and fornix / stria terminalis. This increase in FW was found to be related to, though not solely explained by, ventricular enlargement. Siblings did not show significant FW abnormalities. However, siblings did show a higher level of FAt as compared to controls and patients, in line with results of a previous study on the same data using conventional DTI. Taken together, our findings suggest that extracellular free-water accumulation in patients is likely a manifestation of established disease rather than an expression of familial risk for schizophrenia and that super-normal levels of FAt in unaffected siblings may reflect a compensatory process.
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Affiliation(s)
- Xiao Chang
- Department of Psychiatry, University Medical Center Utrecht (UMCU), UMCU Brain Center, Utrecht, the Netherlands; Social, Genetic and Developmental Psychiatry, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK; Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, China.
| | - René C W Mandl
- Department of Psychiatry, University Medical Center Utrecht (UMCU), UMCU Brain Center, Utrecht, the Netherlands
| | - Ofer Pasternak
- Department of Psychiatry, Psychiatry Neuroimaging Laboratory, Brigham and Women's Hospital, Harvard Medical School, Boston, USA; Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, USA
| | - Rachel M Brouwer
- Department of Psychiatry, University Medical Center Utrecht (UMCU), UMCU Brain Center, Utrecht, the Netherlands
| | - Wiepke Cahn
- Department of Psychiatry, University Medical Center Utrecht (UMCU), UMCU Brain Center, Utrecht, the Netherlands; Altrecht Institute of Mental Health Care, Utrecht, the Netherlands
| | - Guusje Collin
- Department of Psychiatry, University Medical Center Utrecht (UMCU), UMCU Brain Center, Utrecht, the Netherlands; Department of Psychiatry, Psychiatry Neuroimaging Laboratory, Brigham and Women's Hospital, Harvard Medical School, Boston, USA; McGovern Institute for Brain Research, Massachusetts Institute of Technology, Boston, USA
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4
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Variation at NRG1 genotype related to modulation of small-world properties of the functional cortical network. Eur Arch Psychiatry Clin Neurosci 2017; 267:25-32. [PMID: 26650688 DOI: 10.1007/s00406-015-0659-0] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/08/2015] [Accepted: 11/17/2015] [Indexed: 01/11/2023]
Abstract
Functional brain networks possess significant small-world (SW) properties. Genetic variation relevant to both inhibitory and excitatory transmission may contribute to modulate these properties. In healthy controls, genotypic variation in Neuregulin 1 (NRG1) related to the risk of psychosis (risk alleles) would contribute to functional SW modulation of the cortical network. Electroencephalographic activity during an odd-ball task was recorded in 144 healthy controls. Then, small-worldness (SWn) was calculated in five frequency bands (i.e., theta, alpha, beta1, beta2 and gamma) for baseline (from -300 to the stimulus onset) and response (150-450 ms post-target stimulus) windows. The SWn modulation was defined as the difference in SWn between both windows. Association between SWn modulation and carrying the risk allele for three single nucleotide polymorphisms (SNP) of NRG1 (i.e., rs6468119, rs6994992 and rs7005606) was assessed. A significant association between three SNPs of NRG1 and the SWn modulation was found, specifically: NRG1 rs6468119 in alpha and beta1 bands; NRG1 rs6994992 in theta band; and NRG1 rs7005606 in theta and beta1 bands. Genetic variation at NRG1 may influence functional brain connectivity through the modulation of SWn properties of the cortical network.
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Friston K, Brown HR, Siemerkus J, Stephan KE. The dysconnection hypothesis (2016). Schizophr Res 2016; 176:83-94. [PMID: 27450778 PMCID: PMC5147460 DOI: 10.1016/j.schres.2016.07.014] [Citation(s) in RCA: 339] [Impact Index Per Article: 42.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/11/2016] [Revised: 07/06/2016] [Accepted: 07/15/2016] [Indexed: 02/06/2023]
Abstract
Twenty years have passed since the dysconnection hypothesis was first proposed (Friston and Frith, 1995; Weinberger, 1993). In that time, neuroscience has witnessed tremendous advances: we now live in a world of non-invasive neuroanatomy, computational neuroimaging and the Bayesian brain. The genomics era has come and gone. Connectomics and large-scale neuroinformatics initiatives are emerging everywhere. So where is the dysconnection hypothesis now? This article considers how the notion of schizophrenia as a dysconnection syndrome has developed - and how it has been enriched by recent advances in clinical neuroscience. In particular, we examine the dysconnection hypothesis in the context of (i) theoretical neurobiology and computational psychiatry; (ii) the empirical insights afforded by neuroimaging and associated connectomics - and (iii) how bottom-up (molecular biology and genetics) and top-down (systems biology) perspectives are converging on the mechanisms and nature of dysconnections in schizophrenia.
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Affiliation(s)
- Karl Friston
- Wellcome Trust Centre for Neuroimaging, Institute of Neurology, University College London, UK.
| | - Harriet R. Brown
- Wellcome Trust Centre for Neuroimaging, Institute of Neurology, University College London, UK,Oxford Centre for Human Brain Activity, University of Oxford, UK
| | - Jakob Siemerkus
- Translational Neuromodeling Unit (TNU), Institute for Biomedical Engineering, University of Zurich and ETH Zurich, Switzerland,Department of Psychiatry, Psychotherapy and Psychosomatics, Zurich, Switzerland
| | - Klaas E. Stephan
- Translational Neuromodeling Unit (TNU), Institute for Biomedical Engineering, University of Zurich and ETH Zurich, Switzerland
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Schmidt A, Diwadkar VA, Smieskova R, Harrisberger F, Lang UE, McGuire P, Fusar-Poli P, Borgwardt S. Approaching a network connectivity-driven classification of the psychosis continuum: a selective review and suggestions for future research. Front Hum Neurosci 2015; 8:1047. [PMID: 25628553 PMCID: PMC4292722 DOI: 10.3389/fnhum.2014.01047] [Citation(s) in RCA: 42] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/31/2014] [Accepted: 12/15/2014] [Indexed: 01/07/2023] Open
Abstract
Brain changes in schizophrenia evolve along a dynamic trajectory, emerging before disease onset and proceeding with ongoing illness. Recent investigations have focused attention on functional brain interactions, with experimental imaging studies supporting the disconnection hypothesis of schizophrenia. These studies have revealed a broad spectrum of abnormalities in brain connectivity in patients, particularly for connections integrating the frontal cortex. A critical point is that brain connectivity abnormalities, including altered resting state connectivity within the fronto-parietal (FP) network, are already observed in non-help-seeking individuals with psychotic-like experiences. If we consider psychosis as a continuum, with individuals with psychotic-like experiences at the lower and psychotic patients at the upper ends, individuals with psychotic-like experiences represent a key population for investigating the validity of putative biomarkers underlying the onset of psychosis. This paper selectively addresses the role played by FP connectivity in the psychosis continuum, which includes patients with chronic psychosis, early psychosis, clinical high risk, genetic high risk, as well as the general population with psychotic experiences. We first discuss structural connectivity changes among the FP pathway in each domain in the psychosis continuum. This may provide a basis for us to gain an understanding of the subsequent changes in functional FP connectivity. We further indicate that abnormal FP connectivity may arise from glutamatergic disturbances of this pathway, in particular from abnormal NMDA receptor-mediated plasticity. In the second part of this paper we propose some concepts for further research on the use of network connectivity in the classification of the psychosis continuum. These concepts are consistent with recent efforts to enhance the role of data in driving the diagnosis of psychiatric spectrum diseases.
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Affiliation(s)
- André Schmidt
- Department of Psychiatry (UPK), University of Basel Basel, Switzerland
| | - Vaibhav A Diwadkar
- Department of Psychiatry and Behavioral Neurosciences, Wayne State University Detroit, Michigan, USA
| | - Renata Smieskova
- Department of Psychiatry (UPK), University of Basel Basel, Switzerland
| | | | - Undine E Lang
- Department of Psychiatry (UPK), University of Basel Basel, Switzerland
| | - Philip McGuire
- Department of Psychosis Studies, Institute of Psychiatry, King's College London London, UK
| | - Paolo Fusar-Poli
- Department of Psychosis Studies, Institute of Psychiatry, King's College London London, UK
| | - Stefan Borgwardt
- Department of Psychiatry (UPK), University of Basel Basel, Switzerland ; Department of Psychosis Studies, Institute of Psychiatry, King's College London London, UK
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Kelly S, Morris DW, Mothersill O, Rose EJ, Fahey C, O'Brien C, O'Hanlon E, Gill M, Corvin AP, Donohoe G. Genome-wide schizophrenia variant at MIR137 does not impact white matter microstructure in healthy participants. Neurosci Lett 2014; 574:6-10. [PMID: 24820543 DOI: 10.1016/j.neulet.2014.05.002] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/24/2014] [Revised: 04/01/2014] [Accepted: 05/01/2014] [Indexed: 11/25/2022]
Abstract
A single nucleotide polymorphism (SNP rs1625579) within the micro-RNA 137 (MIR137) gene recently achieved strong genome-wide association with schizophrenia (SZ). However, the mechanisms by which SZ risk may be mediated by this variant are unknown. As miRNAs have the potential to influence oligodendrocyte development, we investigated whether this SNP was associated with variability in white matter (WM) microstructure. Diffusion tensor imaging (DTI) was conducted on 123 healthy participants genotyped for rs1625579. The analysis consisted of whole-brain tract-based spatial statistics and atlas-based tractography analysis of six major WM tracts known to be affected in SZ - the inferior longitudinal fasciculus, the uncinate fasciculus, the inferior fronto-occipital fasciculus, the anterior thalamic radiation, the cingulum bundle and the corpus callosum. No significant differences in either whole-brain fractional anisotropy or mean diffusivity between MIR137 genotype groups were observed (p>0.05). Similarly, atlas-based tractography of particular tracts implicated in SZ failed to reveal any significant differences between MIR137 genotype groups on measures of WM connectivity (p>0.05). In the absence of WM effects comparable to those reported for other SZ associated genes, these data suggest that MIR137 alone may not confer variability in these WM measures and therefore may not act in isolation for any effects that the variant may have on WM microstructure in SZ samples.
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Affiliation(s)
- Sinead Kelly
- Neuropsychiatric Genetics Group, Department of Psychiatry, Trinity Centre for health Sciences, St. James's Hospital, Dublin 8, Ireland; Trinity College Institute for Neuroscience, Trinity College Dublin, Ireland
| | - Derek W Morris
- Neuropsychiatric Genetics Group, Department of Psychiatry, Trinity Centre for health Sciences, St. James's Hospital, Dublin 8, Ireland; Discipline of Biochemistry, School of Natural Sciences, National University of Ireland Galway, Ireland
| | - Omar Mothersill
- Neuropsychiatric Genetics Group, Department of Psychiatry, Trinity Centre for health Sciences, St. James's Hospital, Dublin 8, Ireland; Trinity College Institute for Neuroscience, Trinity College Dublin, Ireland
| | - Emma Jane Rose
- Neuropsychiatric Genetics Group, Department of Psychiatry, Trinity Centre for health Sciences, St. James's Hospital, Dublin 8, Ireland; Trinity College Institute for Neuroscience, Trinity College Dublin, Ireland; Transdisciplinary Science and Translational Prevention Program (TSTPP), Research Triangle Institute, Baltimore, MD, United States
| | - Ciara Fahey
- Neuropsychiatric Genetics Group, Department of Psychiatry, Trinity Centre for health Sciences, St. James's Hospital, Dublin 8, Ireland; Trinity College Institute for Neuroscience, Trinity College Dublin, Ireland
| | - Carol O'Brien
- Neuropsychiatric Genetics Group, Department of Psychiatry, Trinity Centre for health Sciences, St. James's Hospital, Dublin 8, Ireland; Trinity College Institute for Neuroscience, Trinity College Dublin, Ireland
| | - Erik O'Hanlon
- Department of Psychiatry, Royal College of Surgeons in Ireland, Ireland
| | - Michael Gill
- Neuropsychiatric Genetics Group, Department of Psychiatry, Trinity Centre for health Sciences, St. James's Hospital, Dublin 8, Ireland; Trinity College Institute for Neuroscience, Trinity College Dublin, Ireland
| | - Aiden P Corvin
- Neuropsychiatric Genetics Group, Department of Psychiatry, Trinity Centre for health Sciences, St. James's Hospital, Dublin 8, Ireland; Trinity College Institute for Neuroscience, Trinity College Dublin, Ireland
| | - Gary Donohoe
- Neuropsychiatric Genetics Group, Department of Psychiatry, Trinity Centre for health Sciences, St. James's Hospital, Dublin 8, Ireland; Trinity College Institute for Neuroscience, Trinity College Dublin, Ireland; School of Psychology, National University of Ireland Galway, Ireland.
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Brennan AM, Harris AWF, Williams LM. Functional dysconnectivity in schizophrenia and its relationship to neural synchrony. Expert Rev Neurother 2013; 13:755-65. [PMID: 23898848 DOI: 10.1586/14737175.2013.811899] [Citation(s) in RCA: 16] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Abstract
Schizophrenia is a debilitating disorder of unknown cause. There is increasing momentum to consider functional dysconnectivity as an endophenotype of schizophrenia, and in particular, how it relates to cognition as a core feature of the disorder. Here, the authors review the conceptual models of functional dysconnectivity in schizophrenia to date, the evidence they are based on and some of the limitations of these models. The authors then propose 'neural synchrony' as a potential mechanism for functional dysconnectivity and review the current state of evidence for a link between neural synchrony and cognition in schizophrenia across behavioral, physiological, brain imaging, neurochemical and neurogenetic units of enquiry. The authors conclude by outlining the unmet needs in this field and give an outlook on how to fill these gaps.
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Affiliation(s)
- Annie M Brennan
- Brain Dynamics Centre, Sydney Medical School and Westmead Millennium Institute, University of Sydney at Westmead, NSW, Australia.
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Abstract
Within the efforts to revise ICD-10 and DSM-IV-TR, work groups on the classification of psychotic disorders appointed by the World Health Organization (WHO) and the American Psychiatric Association (APA) have proposed several changes to the corresponding classification criteria of schizophrenia and other psychotic disorders in order to increase the clinical utility, reliability and validity of these diagnoses. These proposed revisions are subject to field trials with the objective of studying whether they will lead to an improvement of the classification systems in comparison to their previous versions. Both a challenge and an opportunity, the APA and WHO have also considered harmonizing between the two classifications. The current status of both suggests that this goal can only be met in part. The main proposed revisions include changes to the number and types of symptoms of schizophrenia, the replacement of existing schizophrenia subtypes with dimensional assessments or symptom specifiers, different modifications of the criteria for schizoaffective disorder, a reorganization of the delusional disorders and the acute and transient psychotic disorders in ICD-11, as well as the revision of course and psychomotor symptoms/catatonia specifiers in both classification systems.
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Affiliation(s)
- Wolfgang Gaebel
- Department of Psychiatry and Psychotherapy, Medical Faculty, Heinrich-Heine University, Düsseldorf, Germany.
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Tropea D. New challenges and frontiers in the research for neuropsychiatric disorders. Front Psychiatry 2012; 3:69. [PMID: 22811670 PMCID: PMC3397317 DOI: 10.3389/fpsyt.2012.00069] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/26/2012] [Accepted: 06/28/2012] [Indexed: 11/13/2022] Open
Affiliation(s)
- Daniela Tropea
- Neuropsychiatric Genetics Research Group, Trinity College Dublin, St James Hospital Dublin, Ireland
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