Psychiatry - Research Publications

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    FRONTOSTRIATAL CONNECTIVITY IN TREATMENT-RESISTANT SCHIZOPHRENIA: RELATIONSHIP TO POSITIVE SYMPTOMS AND COGNITIVE FLEXIBILITY
    Cropley, V ; Ganella, E ; Wannan, C ; Zalesky, A ; Van Rheenen, T ; Bousman, C ; Everall, I ; Fornito, A ; Pantelis, C (OXFORD UNIV PRESS, 2018-04)
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    SimPEL: Simulation-based power estimation for sequencing studies of low-prevalence conditions
    Mak, L ; Li, M ; Cao, C ; Gordon, P ; Tarailo-Graovac, M ; Bousman, C ; Wang, P ; Long, Q (WILEY, 2018-07)
    Power estimations are important for optimizing genotype-phenotype association study designs. However, existing frameworks are designed for common disorders, and thus ill-suited for the inherent challenges of studies for low-prevalence conditions such as rare diseases and infrequent adverse drug reactions. These challenges include small sample sizes and the need to leverage genetic annotation resources in association analyses for the purpose of ranking potential causal genes. We present SimPEL, a simulation-based program providing power estimations for the design of low-prevalence condition studies. SimPEL integrates the usage of gene annotation resources for association analyses. Customizable parameters, including the penetrance of the putative causal allele and the employed pathogenic scoring system, allow SimPEL to realistically model a large range of study designs. To demonstrate the effects of various parameters on power, we estimated the power of several simulated designs using SimPEL and captured power trends in agreement with observations from current literature on low-frequency condition studies. SimPEL, as a tool, provides researchers studying low-frequency conditions with an intuitive and highly flexible avenue for statistical power estimation. The platform-independent "batteries included" executable and default input files are available at https://github.com/precisionomics/SimPEL.
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    Widespread white matter microstructural differences in schizophrenia across 4322 individuals: results from the ENIGMA Schizophrenia DTI Working Group
    Kelly, S ; Jahanshad, N ; Zalesky, A ; Kochunov, P ; Agartz, I ; Alloza, C ; Andreassen, OA ; Arango, C ; Banaj, N ; Bouix, S ; Bousman, CA ; Brouwer, RM ; Bruggemann, J ; Bustillo, J ; Cahn, W ; Calhoun, V ; Cannon, D ; Carr, V ; Catts, S ; Chen, J ; Chen, J-X ; Chen, X ; Chiapponi, C ; Cho, KK ; Ciullo, V ; Corvin, AS ; Crespo-Facorro, B ; Cropley, V ; De Rossi, P ; Diaz-Caneja, CM ; Dickie, EW ; Ehrlich, S ; Fan, F-M ; Faskowitz, J ; Fatouros-Bergman, H ; Flyckt, L ; Ford, JM ; Fouche, J-P ; Fukunaga, M ; Gill, M ; Glahn, DC ; Gollub, R ; Goudzwaard, ED ; Guo, H ; Gur, RE ; Gur, RC ; Gurholt, TP ; Hashimoto, R ; Hatton, SN ; Henskens, FA ; Hibar, DP ; Hickie, IB ; Hong, LE ; Horacek, J ; Howells, FM ; Pol, HEH ; Hyde, CL ; Isaev, D ; Jablensky, A ; Jansen, PR ; Janssen, J ; Jonsson, EG ; Jung, LA ; Kahn, RS ; Kikinis, Z ; Liu, K ; Klauser, P ; Knoechel, C ; Kubicki, M ; Lagopoulos, J ; Langen, C ; Lawrie, S ; Lenroot, RK ; Lim, KO ; Lopez-Jaramillo, C ; Lyall, A ; Magnotta, V ; Mandl, RCW ; Mathalon, DH ; McCarley, RW ; McCarthy-Jones, S ; McDonald, C ; McEwen, S ; McIntosh, A ; Melicher, T ; Mesholam-Gately, R ; Michie, PT ; Mowry, B ; Mueller, BA ; Newell, DT ; O'Donnell, P ; Oertel-Knoechel, V ; Oestreich, L ; Paciga, SA ; Pantelis, C ; Pasternak, O ; Pearlson, G ; Pellicano, GR ; Pereira, A ; Zapata, JP ; Piras, F ; Potkin, SG ; Preda, A ; Rasser, PE ; Roalf, DR ; Roiz, R ; Roos, A ; Rotenberg, D ; Satterthwaite, TD ; Savadjiev, P ; Schall, U ; Scott, RJ ; Seal, ML ; Seidman, LJ ; Weickert, CS ; Whelan, CD ; Shenton, ME ; Kwon, JS ; Spalletta, G ; Spaniel, F ; Sprooten, E ; Stablein, M ; Stein, DJ ; Sundram, S ; Tan, Y ; Tan, S ; Tang, S ; Temmingh, HS ; Westlye, LT ; Tonnesen, S ; Tordesillas-Gutierrez, D ; Doan, NT ; Vaidya, J ; van Haren, NEM ; Vargas, CD ; Vecchio, D ; Velakoulis, D ; Voineskos, A ; Voyvodic, JQ ; Wang, Z ; Wan, P ; Wei, D ; Weickert, TW ; Whalley, H ; White, T ; Whitford, TJ ; Wojcik, JD ; Xiang, H ; Xie, Z ; Yamamori, H ; Yang, F ; Yao, N ; Zhang, G ; Zhao, J ; van Erp, TGM ; Turner, J ; Thompson, PM ; Donohoe, G (SPRINGERNATURE, 2018-05)
    The regional distribution of white matter (WM) abnormalities in schizophrenia remains poorly understood, and reported disease effects on the brain vary widely between studies. In an effort to identify commonalities across studies, we perform what we believe is the first ever large-scale coordinated study of WM microstructural differences in schizophrenia. Our analysis consisted of 2359 healthy controls and 1963 schizophrenia patients from 29 independent international studies; we harmonized the processing and statistical analyses of diffusion tensor imaging (DTI) data across sites and meta-analyzed effects across studies. Significant reductions in fractional anisotropy (FA) in schizophrenia patients were widespread, and detected in 20 of 25 regions of interest within a WM skeleton representing all major WM fasciculi. Effect sizes varied by region, peaking at (d=0.42) for the entire WM skeleton, driven more by peripheral areas as opposed to the core WM where regions of interest were defined. The anterior corona radiata (d=0.40) and corpus callosum (d=0.39), specifically its body (d=0.39) and genu (d=0.37), showed greatest effects. Significant decreases, to lesser degrees, were observed in almost all regions analyzed. Larger effect sizes were observed for FA than diffusivity measures; significantly higher mean and radial diffusivity was observed for schizophrenia patients compared with controls. No significant effects of age at onset of schizophrenia or medication dosage were detected. As the largest coordinated analysis of WM differences in a psychiatric disorder to date, the present study provides a robust profile of widespread WM abnormalities in schizophrenia patients worldwide. Interactive three-dimensional visualization of the results is available at www.enigma-viewer.org.
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    Exploring the moderating effects of dopaminergic polymorphisms and childhood adversity on brain morphology in schizophrenia-spectrum disorders
    Hoffmann, C ; Van Rheenen, TE ; Mancuso, SG ; Zalesky, A ; Bruggemann, J ; Lenroot, RK ; Sundram, S ; Weickert, CS ; Weickert, TW ; Pantelis, C ; Cropley, V ; Bousman, CA (ELSEVIER IRELAND LTD, 2018-11-30)
    Genetic and environmental etiologies may contribute to schizophrenia and its associated neurobiological profile. We examined the interaction between dopaminergic polymorphisms, childhood adversity and diagnosis (schizophrenia/schizoaffective disorder) on dopamine-related brain structures. Childhood adversity histories and structural MRI data were obtained from 249 (153 schizophrenia/schizoaffective, 96 controls) participants registered in the Australian Schizophrenia Research Bank. Polymorphisms in DRD2 and COMT were genotyped and a dopaminergic risk allelic load (RAL) was calculated. Regression analysis was used to test the main and interaction effects of RAL, childhood adversity and diagnosis on volumes of dopamine-related brain structures (caudate, putamen, nucleus accumbens, dorsolateral prefrontal cortex and hippocampus). A schizophrenia/schizoaffective diagnosis showed significant main effects on bilateral hippocampus, left dorsolateral prefrontal cortex and bilateral putamen volumes. RAL showed a significant main effect on left putamen volumes. Furthermore, across the whole sample, a significant two-way interaction between dopaminergic RAL and childhood adversity was found for left putamen volumes. No brain structure volumes were predicted by a three-way interaction that included diagnosis. Our finding suggests the left putamen may be particularly sensitive to dopaminergic gene-environment interactions regardless of diagnosis. However, larger studies are needed to assess whether these interactions are more or less pronounced in those with schizophrenia/schizoaffective disorders.
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    Widespread Volumetric Reductions in Schizophrenia and Schizoaffective Patients Displaying Compromised Cognitive Abilities
    Van Rheenen, TE ; Cropley, V ; Zalesky, A ; Bousman, C ; Wells, R ; Bruggemann, J ; Sundram, S ; Weinberg, D ; Lenroot, RK ; Pereira, A ; Weickert, CS ; Weickert, TW ; Pantelis, C (OXFORD UNIV PRESS, 2018-05)
    OBJECTIVE: Progress toward understanding brain mechanisms in psychosis is hampered by failures to account for within-group heterogeneity that exists across neuropsychological domains. We recently identified distinct cognitive subgroups that might assist in identifying more biologically meaningful subtypes of psychosis. In the present study, we examined whether underlying structural brain abnormalities differentiate these cognitively derived subgroups. METHOD: 1.5T T1 weighted structural scans were acquired for 168 healthy controls and 220 patients with schizophrenia/schizoaffective disorder. Based on previous work, 47 patients were categorized as being cognitively compromised (impaired premorbid and current IQ), 100 as cognitively deteriorated (normal premorbid IQ, impaired current IQ), and 73 as putatively cognitively preserved (premorbid and current IQ within 1 SD of controls). Global, subcortical and cortical volume, thickness, and surface area measures were compared among groups. RESULTS: Whole cortex, subcortical, and regional volume and thickness reductions were evident in all subgroups compared to controls, with the largest effect sizes in the compromised group. This subgroup also showed abnormalities in regions not seen in the other patient groups, including smaller left superior and middle frontal areas, left anterior and inferior temporal areas and right lateral medial and inferior frontal, occipital lobe and superior temporal areas. CONCLUSIONS: This pattern of more prominent brain structural abnormalities in the group with the most marked cognitive impairments-both currently and putatively prior to illness onset, is consistent with the concept of schizophrenia as a progressive neurodevelopmental disorder. In this group, neurodevelopmental and neurodegenerative factors may be important for cognitive function.