Psychiatry - Research Publications

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    Machine Learning for Large-Scale Quality Control of 3D Shape Models in Neuroimaging
    Petrov, D ; Gutman, BA ; Yu, S-HJ ; Alpert, K ; Zavaliangos-Petropulu, A ; Isaev, D ; Turner, JA ; van Erp, TGM ; Wang, L ; Schmaal, L ; Veltman, D ; Thompson, PM ; Wang, Q ; Shi, Y ; Suk, HI ; Suzuki, K (SPRINGER INTERNATIONAL PUBLISHING AG, 2017)
    As very large studies of complex neuroimaging phenotypes become more common, human quality assessment of MRI-derived data remains one of the last major bottlenecks. Few attempts have so far been made to address this issue with machine learning. In this work, we optimize predictive models of quality for meshes representing deep brain structure shapes. We use standard vertex-wise and global shape features computed homologously across 19 cohorts and over 7500 human-rated subjects, training kernelized Support Vector Machine and Gradient Boosted Decision Trees classifiers to detect meshes of failing quality. Our models generalize across datasets and diseases, reducing human workload by 30-70%, or equivalently hundreds of human rater hours for datasets of comparable size, with recall rates approaching inter-rater reliability.
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    Childhood adversity impacts on brain subcortical structures relevant to depression
    Frodl, T ; Janowitz, D ; Schmaal, L ; Tozzi, L ; Dobrowolny, H ; Stein, DJ ; Veltman, DJ ; Wittfeld, K ; van Erp, TGM ; Jahanshad, N ; Block, A ; Hegenscheid, K ; Voelzke, H ; Lagopoulos, J ; Hatton, SN ; Hickie, IB ; Frey, EM ; Carballedo, A ; Brooks, SJ ; Vuletic, D ; Uhlmann, A ; Veer, IM ; Walter, H ; Schnell, K ; Grotegerd, D ; Arolt, V ; Kugel, H ; Schramm, E ; Konrad, C ; Zurowski, B ; Baune, BT ; van der Wee, NJA ; van Tol, M-J ; Penninx, BWJH ; Thompson, PM ; Hibar, DP ; Dannlowski, U ; Grabe, HJ (PERGAMON-ELSEVIER SCIENCE LTD, 2017-03)
    Childhood adversity plays an important role for development of major depressive disorder (MDD). There are differences in subcortical brain structures between patients with MDD and healthy controls, but the specific impact of childhood adversity on such structures in MDD remains unclear. Thus, aim of the present study was to investigate whether childhood adversity is associated with subcortical volumes and how it interacts with a diagnosis of MDD and sex. Within the ENIGMA-MDD network, nine university partner sites, which assessed childhood adversity and magnetic resonance imaging in patients with MDD and controls, took part in the current joint mega-analysis. In this largest effort world-wide to identify subcortical brain structure differences related to childhood adversity, 3036 participants were analyzed for subcortical brain volumes using FreeSurfer. A significant interaction was evident between childhood adversity, MDD diagnosis, sex, and region. Increased exposure to childhood adversity was associated with smaller caudate volumes in females independent of MDD. All subcategories of childhood adversity were negatively associated with caudate volumes in females - in particular emotional neglect and physical neglect (independently from age, ICV, imaging site and MDD diagnosis). There was no interaction effect between childhood adversity and MDD diagnosis on subcortical brain volumes. Childhood adversity is one of the contributors to brain structural abnormalities. It is associated with subcortical brain abnormalities that are relevant to psychiatric disorders such as depression.
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    Cortical abnormalities in adults and adolescents with major depression based on brain scans from 20 cohorts worldwide in the ENIGMA Major Depressive Disorder Working Group
    Schmaal, L ; Hibar, DP ; Saemann, PG ; Hall, GB ; Baune, BT ; Jahanshad, N ; Cheung, JW ; van Erp, TGM ; Bos, D ; Ikram, MA ; Vernooij, MW ; Niessen, WJ ; Tiemeier, H ; Hofman, A ; Wittfeld, K ; Grabe, HJ ; Janowitz, D ; Buelow, R ; Selonke, M ; Voelzke, H ; Grotegerd, D ; Dannlowski, U ; Arolt, V ; Opel, N ; Heindel, W ; Kugel, H ; Hoehn, D ; Czisch, M ; Couvy-Duchesne, B ; Renteria, ME ; Strike, LT ; Wright, MJ ; Mills, NT ; de Zubicaray, GI ; McMahon, KL ; Medland, SE ; Martin, NG ; Gillespie, NA ; Goya-Maldonado, R ; Gruber, O ; Kraemer, B ; Hatton, SN ; Lagopoulos, J ; Hickie, IB ; Frodl, T ; Carballedo, A ; Frey, EM ; van Velzen, LS ; Penninx, BWJH ; van Tol, M-J ; van der Wee, NJ ; Davey, CG ; Harrison, BJ ; Mwangi, B ; Cao, B ; Soares, JC ; Veer, IM ; Walter, H ; Schoepf, D ; Zurowski, B ; Konrad, C ; Schramm, E ; Normann, C ; Schnell, K ; Sacchet, MD ; Gotlib, IH ; MacQueen, GM ; Godlewska, BR ; Nickson, T ; McIntosh, AM ; Papmeyer, M ; Whalley, HC ; Hall, J ; Sussmann, JE ; Li, M ; Walter, M ; Aftanas, L ; Brack, I ; Bokhan, NA ; Thompson, PM ; Veltman, DJ (NATURE PUBLISHING GROUP, 2017-06)
    The neuro-anatomical substrates of major depressive disorder (MDD) are still not well understood, despite many neuroimaging studies over the past few decades. Here we present the largest ever worldwide study by the ENIGMA (Enhancing Neuro Imaging Genetics through Meta-Analysis) Major Depressive Disorder Working Group on cortical structural alterations in MDD. Structural T1-weighted brain magnetic resonance imaging (MRI) scans from 2148 MDD patients and 7957 healthy controls were analysed with harmonized protocols at 20 sites around the world. To detect consistent effects of MDD and its modulators on cortical thickness and surface area estimates derived from MRI, statistical effects from sites were meta-analysed separately for adults and adolescents. Adults with MDD had thinner cortical gray matter than controls in the orbitofrontal cortex (OFC), anterior and posterior cingulate, insula and temporal lobes (Cohen's d effect sizes: -0.10 to -0.14). These effects were most pronounced in first episode and adult-onset patients (>21 years). Compared to matched controls, adolescents with MDD had lower total surface area (but no differences in cortical thickness) and regional reductions in frontal regions (medial OFC and superior frontal gyrus) and primary and higher-order visual, somatosensory and motor areas (d: -0.26 to -0.57). The strongest effects were found in recurrent adolescent patients. This highly powered global effort to identify consistent brain abnormalities showed widespread cortical alterations in MDD patients as compared to controls and suggests that MDD may impact brain structure in a highly dynamic way, with different patterns of alterations at different stages of life.
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    Human subcortical brain asymmetries in 15,847 people worldwide reveal effects of age and sex
    Guadalupe, T ; Mathias, SR ; Vanerp, TGM ; Whelan, CD ; Zwiers, MP ; Abe, Y ; Abramovic, L ; Agartz, I ; Andreassen, OA ; Arias-Vasquez, A ; Aribisala, BS ; Armstrong, NJ ; Arolt, V ; Artiges, E ; Ayesa-Arriola, R ; Baboyan, VG ; Banaschewski, T ; Barker, G ; Bastin, ME ; Baune, BT ; Blangero, J ; Bokde, ALW ; Boedhoe, PSW ; Bose, A ; Brem, S ; Brodaty, H ; Bromberg, U ; Brooks, S ; Buechel, C ; Buitelaar, J ; Calhoun, VD ; Cannon, DM ; Cattrell, A ; Cheng, Y ; Conrod, PJ ; Conzelmann, A ; Corvin, A ; Crespo-Facorro, B ; Crivello, F ; Dannlowski, U ; De Zubicaray, GI ; De Zwarte, SMC ; Deary, IJ ; Desrivieres, S ; Doan, NT ; Donohoe, G ; Dorum, ES ; Ehrlich, S ; Espeseth, T ; Fernandez, G ; Flor, H ; Fouche, J-P ; Frouin, V ; Fukunaga, M ; Gallinat, J ; Garavan, H ; Gill, M ; Suarez, AG ; Gowland, P ; Grabe, HJ ; Grotegerd, D ; Gruber, O ; Hagenaars, S ; Hashimoto, R ; Hauser, TU ; Heinz, A ; Hibar, DP ; Hoekstra, PJ ; Hoogman, M ; Howells, FM ; Hu, H ; Pol, HEH ; Huyser, C ; Ittermann, B ; Jahanshad, N ; Jonsson, EG ; Jurk, S ; Kahn, RS ; Kelly, S ; Kraemer, B ; Kugel, H ; Kwon, JS ; Lemaitre, H ; Lesch, K-P ; Lochner, C ; Luciano, M ; Marquand, AF ; Martin, NG ; Martinez-Zalacain, I ; Martinot, J-L ; Mataix-Cols, D ; Mather, K ; McDonald, C ; McMahon, KL ; Medland, SE ; Menchon, JM ; Morris, DW ; Mothersill, O ; Maniega, SM ; Mwangi, B ; Nakamae, T ; Nakao, T ; Narayanaswaamy, JC ; Nees, F ; Nordvik, JE ; Onnink, AMH ; Opel, N ; Ophoff, R ; Martinot, M-LP ; Orfanos, DP ; Pauli, P ; Paus, T ; Poustka, L ; Reddy, JYC ; Renteria, ME ; Roiz-Santianez, R ; Roos, A ; Royle, NA ; Sachdev, P ; Sanchez-Juan, P ; Schmaal, L ; Schumann, G ; Shumskaya, E ; Smolka, MN ; Soares, JC ; Soriano-Mas, C ; Stein, DJ ; Strike, LT ; Toro, R ; Turner, JA ; Tzourio-Mazoyer, N ; Uhlmann, A ; Hernandez, MV ; Van den Heuvel, OA ; Van der Meer, D ; Van Haren, NEM ; Veltman, DJ ; Venkatasubramanian, G ; Vetter, NC ; Vuletic, D ; Walitza, S ; Walter, H ; Walton, E ; Wang, Z ; Wardlaw, J ; Wen, W ; Westlye, LT ; Whelan, R ; Wittfeld, K ; Wolfers, T ; Wright, MJ ; Xu, J ; Xu, X ; Yun, J-Y ; Zhao, J ; Franke, B ; Thompson, PM ; Glahn, DC ; Mazoyer, B ; Fisher, SE ; Francks, C (SPRINGER, 2017-10)
    The two hemispheres of the human brain differ functionally and structurally. Despite over a century of research, the extent to which brain asymmetry is influenced by sex, handedness, age, and genetic factors is still controversial. Here we present the largest ever analysis of subcortical brain asymmetries, in a harmonized multi-site study using meta-analysis methods. Volumetric asymmetry of seven subcortical structures was assessed in 15,847 MRI scans from 52 datasets worldwide. There were sex differences in the asymmetry of the globus pallidus and putamen. Heritability estimates, derived from 1170 subjects belonging to 71 extended pedigrees, revealed that additive genetic factors influenced the asymmetry of these two structures and that of the hippocampus and thalamus. Handedness had no detectable effect on subcortical asymmetries, even in this unprecedented sample size, but the asymmetry of the putamen varied with age. Genetic drivers of asymmetry in the hippocampus, thalamus and basal ganglia may affect variability in human cognition, including susceptibility to psychiatric disorders.