Psychiatry - Research Publications

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    Cortical Brain Abnormalities in 4474 Individuals With Schizophrenia and 5098 Control Subjects via the Enhancing Neuro Imaging Genetics Through Meta Analysis (ENIGMA) Consortium
    van Erp, TGM ; Walton, E ; Hibar, DP ; Schmaal, L ; Jiang, W ; Glahn, DC ; Pearlson, GD ; Yao, N ; Fukunaga, M ; Hashimoto, R ; Okada, N ; Yamamori, H ; Bustillo, JR ; Clark, VP ; Agartz, I ; Mueller, BA ; Cahn, W ; de Zwarte, SMC ; Pol, HEH ; Kahn, RS ; Ophoff, RA ; van Haren, NEM ; Andreassen, OA ; Dale, AM ; Nhat, TD ; Gurholt, TP ; Hartberg, CB ; Haukvik, UK ; Jorgensen, KN ; Lagerberg, T ; Melle, I ; Westlye, LT ; Gruber, O ; Kraemer, B ; Richter, A ; Zilles, D ; Calhoun, VD ; Crespo-Facorro, B ; Roiz-Santianez, R ; Tordesillas-Gutierrez, D ; Loughland, C ; Carr, VJ ; Catts, S ; Cropley, VL ; Fullerton, JM ; Green, MJ ; Henskens, FA ; Jablensky, A ; Lenroot, RK ; Mowry, BJ ; Michie, PT ; Pantelis, C ; Quide, Y ; Schall, U ; Scott, RJ ; Cairns, MJ ; Seal, M ; Tooney, PA ; Rasser, PE ; Cooper, G ; Weickert, CS ; Weickert, TW ; Morris, DW ; Hong, E ; Kochunov, P ; Beard, LM ; Gur, RE ; Gur, RC ; Satterthwaite, TD ; Wolf, DH ; Belger, A ; Brown, GG ; Ford, JM ; Macciardi, F ; Mathalon, DH ; O'Leary, DS ; Potkin, SG ; Preda, A ; Voyvodic, J ; Lim, KO ; McEwen, S ; Yang, F ; Tan, Y ; Tan, S ; Wang, Z ; Fan, F ; Chen, J ; Xiang, H ; Tang, S ; Guo, H ; Wan, P ; Wei, D ; Bockholt, HJ ; Ehrlich, S ; Wolthusen, RPF ; King, MD ; Shoemaker, JM ; Sponheim, SR ; De Haan, L ; Koenders, L ; Machielsen, MW ; van Amelsvoort, T ; Veltman, DJ ; Assogna, F ; Banaj, N ; de Rossi, P ; Iorio, M ; Piras, F ; Spalletta, G ; McKenna, PJ ; Pomarol-Clotet, E ; Salvador, R ; Corvin, A ; Donohoe, G ; Kelly, S ; Whelan, CD ; Dickie, EW ; Rotenberg, D ; Voineskos, AN ; Ciufolini, S ; Radua, J ; Dazzan, P ; Murray, R ; Marques, TR ; Simmons, A ; Borgwardt, S ; Egloff, L ; Harrisberger, F ; Riecher-Roessler, A ; Smieskova, R ; Alpert, K ; Wang, L ; Jonsson, EG ; Koops, S ; Sommer, IEC ; Bertolino, A ; Bonvino, A ; Di Giorgio, A ; Neilson, E ; Mayer, AR ; Stephen, JM ; Kwon, JS ; Yun, J-Y ; Cannon, DM ; McDonald, C ; Lebedeva, I ; Tomyshev, AS ; Akhadov, T ; Kaleda, V ; Fatouros-Bergman, H ; Flyckt, L ; Busatto, GF ; Rosa, PGP ; Serpa, MH ; Zanetti, M ; Hoschl, C ; Skoch, A ; Spaniel, F ; Tomecek, D ; Hagenaars, SP ; McIntosh, AM ; Whalley, HC ; Lawrie, SM ; Knoechel, C ; Oertel-Knoechel, V ; Staeblein, M ; Howells, FM ; Stein, DJ ; Temmingh, HS ; Uhlmann, A ; Lopez-Jaramillo, C ; Dima, D ; McMahon, A ; Faskowitz, J ; Gutman, BA ; Jahanshad, N ; Thompson, PM ; Turner, JA (ELSEVIER SCIENCE INC, 2018-11-01)
    BACKGROUND: The profile of cortical neuroanatomical abnormalities in schizophrenia is not fully understood, despite hundreds of published structural brain imaging studies. This study presents the first meta-analysis of cortical thickness and surface area abnormalities in schizophrenia conducted by the ENIGMA (Enhancing Neuro Imaging Genetics through Meta Analysis) Schizophrenia Working Group. METHODS: The study included data from 4474 individuals with schizophrenia (mean age, 32.3 years; range, 11-78 years; 66% male) and 5098 healthy volunteers (mean age, 32.8 years; range, 10-87 years; 53% male) assessed with standardized methods at 39 centers worldwide. RESULTS: Compared with healthy volunteers, individuals with schizophrenia have widespread thinner cortex (left/right hemisphere: Cohen's d = -0.530/-0.516) and smaller surface area (left/right hemisphere: Cohen's d = -0.251/-0.254), with the largest effect sizes for both in frontal and temporal lobe regions. Regional group differences in cortical thickness remained significant when statistically controlling for global cortical thickness, suggesting regional specificity. In contrast, effects for cortical surface area appear global. Case-control, negative, cortical thickness effect sizes were two to three times larger in individuals receiving antipsychotic medication relative to unmedicated individuals. Negative correlations between age and bilateral temporal pole thickness were stronger in individuals with schizophrenia than in healthy volunteers. Regional cortical thickness showed significant negative correlations with normalized medication dose, symptom severity, and duration of illness and positive correlations with age at onset. CONCLUSIONS: The findings indicate that the ENIGMA meta-analysis approach can achieve robust findings in clinical neuroscience studies; also, medication effects should be taken into account in future genetic association studies of cortical thickness in schizophrenia.
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    The Melbourne Assessment of Schizotypy in Kids: A Useful Measure of Childhood Schizotypal Personality Disorder
    Jones, HP ; Testa, RR ; Ross, N ; Seal, ML ; Pantelis, C ; Tonge, B (HINDAWI LTD, 2015)
    Despite being identified as a high risk cohort for psychosis, there has been relatively little research on the clinical presentation and assessment of Schizotypal Personality Disorder (SPD) in childhood. The current study aimed to develop a measure of childhood SPD (Melbourne Assessment of Schizotypy in Kids (MASK)) and assess discriminant validity against another neurodevelopmental disorder, autism spectrum disorder (ASD). Sixty-eight children aged between 5 and 12 (21 SPD, 15 ASD, and 32 typically developing) and their parents were administered the MASK. The MASK is a 57-item semistructured interview that obtains information from the child, their parents, and the clinician. The results showed high internal consistency for the MASK and higher scores in the SPD group. A factor analysis revealed two MASK factors: social/pragmatic symptoms and positive schizotypal symptoms. Both factors were associated with SPD, while only the social/pragmatic factor was associated with ASD. Within the two clinical groups, a receiver operating characteristic curve showed that the MASK (cut-off score: 132 out of 228) was a good indicator of SPD diagnosis. These preliminary MASK findings were reliable and consistent and suggest that childhood SPD is characterised by complex symptomology distinguishable from ASD.
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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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    Effect of long-term cannabis use on axonal fibre connectivity
    Zalesky, A ; Solowij, N ; Yuecel, M ; Lubman, DI ; Takagi, M ; Harding, IH ; Lorenzetti, V ; Wang, R ; Searle, K ; Pantelis, C ; Seal, M (OXFORD UNIV PRESS, 2012-07)
    Cannabis use typically begins during adolescence and early adulthood, a period when cannabinoid receptors are still abundant in white matter pathways across the brain. However, few studies to date have explored the impact of regular cannabis use on white matter structure, with no previous studies examining its impact on axonal connectivity. The aim of this study was to examine axonal fibre pathways across the brain for evidence of microstructural alterations associated with long-term cannabis use and to test whether age of regular cannabis use is associated with severity of any microstructural change. To this end, diffusion-weighted magnetic resonance imaging and brain connectivity mapping techniques were performed in 59 cannabis users with longstanding histories of heavy use and 33 matched controls. Axonal connectivity was found to be impaired in the right fimbria of the hippocampus (fornix), splenium of the corpus callosum and commissural fibres. Radial and axial diffusivity in these pathways were associated with the age at which regular cannabis use commenced. Our findings indicate long-term cannabis use is hazardous to the white matter of the developing brain. Delaying the age at which regular use begins may minimize the severity of microstructural impairment.
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    Functional Connectivity in Brain Networks Underlying Cognitive Control in Chronic Cannabis Users
    Harding, IH ; Solowij, N ; Harrison, BJ ; Takag, M ; Lorenzetti, V ; Lubman, DI ; Seal, ML ; Pantelis, C ; Yuecel, M (NATURE PUBLISHING GROUP, 2012-07)
    The long-term effect of regular cannabis use on brain function underlying cognitive control remains equivocal. Cognitive control abilities are thought to have a major role in everyday functioning, and their dysfunction has been implicated in the maintenance of maladaptive drug-taking patterns. In this study, the Multi-Source Interference Task was employed alongside functional magnetic resonance imaging and psychophysiological interaction methods to investigate functional interactions between brain regions underlying cognitive control. Current cannabis users with a history of greater than 10 years of daily or near-daily cannabis smoking (n=21) were compared with age, gender, and IQ-matched non-using controls (n=21). No differences in behavioral performance or magnitude of task-related brain activations were evident between the groups. However, greater connectivity between the prefrontal cortex and the occipitoparietal cortex was evident in cannabis users, as compared with controls, as cognitive control demands increased. The magnitude of this connectivity was positively associated with age of onset and lifetime exposure to cannabis. These findings suggest that brain regions responsible for coordinating behavioral control have an increased influence on the direction and switching of attention in cannabis users, and that these changes may have a compensatory role in mitigating cannabis-related impairments in cognitive control or perceptual processes.