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1,040 results on '"Gruber, O."'

1. Prefrontal cortical thinning links to negative symptoms in schizophrenia via the ENIGMA consortium.

Author

Walton, E, Hibar, DP, van Erp, TGM, Potkin, SG, Roiz-Santiañez, R, Crespo-Facorro, B, Suarez-Pinilla, P, van Haren, NEM, de Zwarte, SMC, Kahn, RS, Cahn, W, Doan, NT, Jørgensen, KN, Gurholt, TP, Agartz, I, Andreassen, OA, Westlye, LT, Melle, I, Berg, AO, Morch-Johnsen, L, Færden, A, Flyckt, L, Fatouros-Bergman, H, Karolinska Schizophrenia Project Consortium (KaSP), Jönsson, EG, Hashimoto, R, Yamamori, H, Fukunaga, M, Jahanshad, N, De Rossi, P, Piras, F, Banaj, N, Spalletta, G, Gur, RE, Gur, RC, Wolf, DH, Satterthwaite, TD, Beard, LM, Sommer, IE, Koops, S, Gruber, O, Richter, A, Krämer, B, Kelly, S, Donohoe, G, McDonald, C, Cannon, DM, Corvin, A, Gill, M, Di Giorgio, A, Bertolino, A, Lawrie, S, Nickson, T, Whalley, HC, Neilson, E, Calhoun, VD, Thompson, PM, Turner, JA, and Ehrlich, S

Subjects
Karolinska Schizophrenia Project Consortium, Prefrontal Cortex, Humans, Magnetic Resonance Imaging, Linear Models, Schizophrenia, Psychiatric Status Rating Scales, Schizophrenic Psychology, Internationality, Image Processing, Computer-Assisted, Adult, Female, Male, Functional Laterality, Cortical thickness, ENIGMA, FreeSurfer, MRI, PANSS, SANS, medial orbitofrontal cortex, negative symptoms, schizophrenia, Image Processing, Computer-Assisted, Psychiatry, Psychology, Public Health and Health Services, Neurosciences
Abstract

BackgroundOur understanding of the complex relationship between schizophrenia symptomatology and etiological factors can be improved by studying brain-based correlates of schizophrenia. Research showed that impairments in value processing and executive functioning, which have been associated with prefrontal brain areas [particularly the medial orbitofrontal cortex (MOFC)], are linked to negative symptoms. Here we tested the hypothesis that MOFC thickness is associated with negative symptom severity.MethodsThis study included 1985 individuals with schizophrenia from 17 research groups around the world contributing to the ENIGMA Schizophrenia Working Group. Cortical thickness values were obtained from T1-weighted structural brain scans using FreeSurfer. A meta-analysis across sites was conducted over effect sizes from a model predicting cortical thickness by negative symptom score (harmonized Scale for the Assessment of Negative Symptoms or Positive and Negative Syndrome Scale scores).ResultsMeta-analytical results showed that left, but not right, MOFC thickness was significantly associated with negative symptom severity (β std = -0.075; p = 0.019) after accounting for age, gender, and site. This effect remained significant (p = 0.036) in a model including overall illness severity. Covarying for duration of illness, age of onset, antipsychotic medication or handedness weakened the association of negative symptoms with left MOFC thickness. As part of a secondary analysis including 10 other prefrontal regions further associations in the left lateral orbitofrontal gyrus and pars opercularis emerged.ConclusionsUsing an unusually large cohort and a meta-analytical approach, our findings point towards a link between prefrontal thinning and negative symptom severity in schizophrenia. This finding provides further insight into the relationship between structural brain abnormalities and negative symptoms in schizophrenia.

Published
2018

2. Common and distinct patterns of grey-matter volume alteration in major depression and bipolar disorder: evidence from voxel-based meta-analysis

Author

Wise, T, Radua, J, Via, E, Cardoner, N, Abe, O, Adams, TM, Amico, F, Cheng, Y, Cole, JH, de Azevedo Marques Périco, C, Dickstein, DP, Farrow, TFD, Frodl, T, Wagner, G, Gotlib, IH, Gruber, O, Ham, BJ, Job, DE, Kempton, MJ, Kim, MJ, Koolschijn, PCMP, Malhi, GS, Mataix-Cols, D, McIntosh, AM, Nugent, AC, O'Brien, JT, Pezzoli, S, Phillips, ML, Sachdev, PS, Salvadore, G, Selvaraj, S, Stanfield, AC, Thomas, AJ, van Tol, MJ, van der Wee, NJA, Veltman, DJ, Young, AH, Fu, CH, Cleare, AJ, and Arnone, D

Subjects
Biological Psychology, Biomedical and Clinical Sciences, Clinical Sciences, Psychology, Biomedical Imaging, Brain Disorders, Neurosciences, Mental Health, Serious Mental Illness, Major Depressive Disorder, Depression, Mental health, Adult, Bipolar Disorder, Brain, Case-Control Studies, Depressive Disorder, Major, Female, Gray Matter, Humans, Magnetic Resonance Imaging, Male, Neuroimaging, Prefrontal Cortex, Biological Sciences, Medical and Health Sciences, Psychology and Cognitive Sciences, Psychiatry, Clinical sciences, Biological psychology, Clinical and health psychology
Abstract

Finding robust brain substrates of mood disorders is an important target for research. The degree to which major depression (MDD) and bipolar disorder (BD) are associated with common and/or distinct patterns of volumetric changes is nevertheless unclear. Furthermore, the extant literature is heterogeneous with respect to the nature of these changes. We report a meta-analysis of voxel-based morphometry (VBM) studies in MDD and BD. We identified studies published up to January 2015 that compared grey matter in MDD (50 data sets including 4101 individuals) and BD (36 data sets including 2407 individuals) using whole-brain VBM. We used statistical maps from the studies included where available and reported peak coordinates otherwise. Group comparisons and conjunction analyses identified regions in which the disorders showed common and distinct patterns of volumetric alteration. Both disorders were associated with lower grey-matter volume relative to healthy individuals in a number of areas. Conjunction analysis showed smaller volumes in both disorders in clusters in the dorsomedial and ventromedial prefrontal cortex, including the anterior cingulate cortex and bilateral insula. Group comparisons indicated that findings of smaller grey-matter volumes relative to controls in the right dorsolateral prefrontal cortex and left hippocampus, along with cerebellar, temporal and parietal regions were more substantial in major depression. These results suggest that MDD and BD are characterised by both common and distinct patterns of grey-matter volume changes. This combination of differences and similarities has the potential to inform the development of diagnostic biomarkers for these conditions.

Published
2017

3. 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

Author

Schmaal, L, Hibar, DP, Sämann, 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, Bülow, R, Selonke, M, Völzke, H, Grotegerd, D, Dannlowski, U, Arolt, V, Opel, N, Heindel, W, Kugel, H, Hoehn, D, Czisch, M, Couvy-Duchesne, B, Rentería, ME, Strike, LT, Wright, MJ, Mills, NT, de Zubicaray, GI, McMahon, KL, Medland, SE, Martin, NG, Gillespie, NA, Goya-Maldonado, R, Gruber, O, Krämer, 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, and Veltman, DJ

Subjects
Biological Psychology, Biomedical and Clinical Sciences, Clinical Sciences, Psychology, Major Depressive Disorder, Serious Mental Illness, Neurosciences, Biomedical Imaging, Depression, Basic Behavioral and Social Science, Mental Health, Brain Disorders, Clinical Research, Pediatric, Behavioral and Social Science, 2.3 Psychological, social and economic factors, Aetiology, 2.1 Biological and endogenous factors, Neurological, Mental health, Adolescent, Adult, Brain, Cerebral Cortex, Depressive Disorder, Major, Female, Frontal Lobe, Gray Matter, Gyrus Cinguli, Humans, Magnetic Resonance Imaging, Male, Neuroimaging, Prefrontal Cortex, Temporal Lobe, Biological Sciences, Medical and Health Sciences, Psychology and Cognitive Sciences, Psychiatry, Clinical sciences, Biological psychology, Clinical and health psychology
Abstract

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.

Published
2017

4. Positive symptoms associate with cortical thinning in the superior temporal gyrus via the ENIGMA Schizophrenia consortium

Author

Walton, E, Hibar, DP, Erp, TGM, Potkin, SG, Roiz‐Santiañez, R, Crespo‐Facorro, B, Suarez‐Pinilla, P, Van Haren, NEM, Zwarte, SMC, Kahn, RS, Cahn, W, Doan, NT, Jørgensen, KN, Gurholt, TP, Agartz, I, Andreassen, OA, Westlye, LT, Melle, I, Berg, AO, Mørch‐Johnsen, L, Færden, A, Flyckt, L, Fatouros‐Bergman, H, Consortium, Karolinska Schizophrenia Project, Jönsson, EG, Hashimoto, R, Yamamori, H, Fukunaga, M, Preda, A, De Rossi, P, Piras, F, Banaj, N, Ciullo, V, Spalletta, G, Gur, RE, Gur, RC, Wolf, DH, Satterthwaite, TD, Beard, LM, Sommer, IE, Koops, S, Gruber, O, Richter, A, Krämer, B, Kelly, S, Donohoe, G, McDonald, C, Cannon, DM, Corvin, A, Gill, M, Di Giorgio, A, Bertolino, A, Lawrie, S, Nickson, T, Whalley, HC, Neilson, E, Calhoun, VD, Thompson, PM, Turner, JA, and Ehrlich, S

Subjects
Schizophrenia, Mental Health, Brain Disorders, Mental health, Good Health and Well Being, Adult, Brain Mapping, Female, Humans, Magnetic Resonance Imaging, Male, Prospective Studies, Psychiatric Status Rating Scales, Schizophrenic Psychology, Temporal Lobe, schizophrenia, positive symptoms, superior temporal gyrus, cortical thickness, ENIGMA, FreeSurfer, MRI, scale for the assessment of positive symptoms, positive and negative syndrome scale, Karolinska Schizophrenia Project Consortium, Medical and Health Sciences, Psychology and Cognitive Sciences, Psychiatry
Abstract

ObjectiveBased on the role of the superior temporal gyrus (STG) in auditory processing, language comprehension and self-monitoring, this study aimed to investigate the relationship between STG cortical thickness and positive symptom severity in schizophrenia.MethodThis prospective meta-analysis includes data from 1987 individuals with schizophrenia collected at seventeen centres around the world that contribute to the ENIGMA Schizophrenia Working Group. STG thickness measures were extracted from T1-weighted brain scans using FreeSurfer. The study performed a meta-analysis of effect sizes across sites generated by a model predicting left or right STG thickness with a positive symptom severity score (harmonized SAPS or PANSS-positive scores), while controlling for age, sex and site. Secondary models investigated relationships between antipsychotic medication, duration of illness, overall illness severity, handedness and STG thickness.ResultsPositive symptom severity was negatively related to STG thickness in both hemispheres (left: βstd = -0.052; P = 0.021; right: βstd = -0.073; P = 0.001) when statistically controlling for age, sex and site. This effect remained stable in models including duration of illness, antipsychotic medication or handedness.ConclusionOur findings further underline the important role of the STG in hallmark symptoms in schizophrenia. These findings can assist in advancing insight into symptom-relevant pathophysiological mechanisms in schizophrenia.

Published
2017

5. Subcortical volumetric abnormalities in bipolar disorder.

Author

Hibar, DP, Westlye, LT, van Erp, TGM, Rasmussen, J, Leonardo, CD, Faskowitz, J, Haukvik, UK, Hartberg, CB, Doan, NT, Agartz, I, Dale, AM, Gruber, O, Krämer, B, Trost, S, Liberg, B, Abé, C, Ekman, CJ, Ingvar, M, Landén, M, Fears, SC, Freimer, NB, Bearden, CE, Costa Rica/Colombia Consortium for Genetic Investigation of Bipolar Endophenotypes, Sprooten, E, Glahn, DC, Pearlson, GD, Emsell, L, Kenney, J, Scanlon, C, McDonald, C, Cannon, DM, Almeida, J, Versace, A, Caseras, X, Lawrence, NS, Phillips, ML, Dima, D, Delvecchio, G, Frangou, S, Satterthwaite, TD, Wolf, D, Houenou, J, Henry, C, Malt, UF, Bøen, E, Elvsåshagen, T, Young, AH, Lloyd, AJ, Goodwin, GM, Mackay, CE, Bourne, C, Bilderbeck, A, Abramovic, L, Boks, MP, van Haren, NEM, Ophoff, RA, Kahn, RS, Bauer, M, Pfennig, A, Alda, M, Hajek, T, Mwangi, B, Soares, JC, Nickson, T, Dimitrova, R, Sussmann, JE, Hagenaars, S, Whalley, HC, McIntosh, AM, Thompson, PM, and Andreassen, OA

Subjects
Costa Rica/Colombia Consortium for Genetic Investigation of Bipolar Endophenotypes, Brain, Humans, Magnetic Resonance Imaging, Organ Size, Case-Control Studies, Retrospective Studies, Bipolar Disorder, Adult, Middle Aged, Female, Male, Clinical Research, Mental Health, Brain Disorders, Serious Mental Illness, Neurosciences, Aetiology, 2.1 Biological and endogenous factors, Mental health, Biological Sciences, Medical and Health Sciences, Psychology and Cognitive Sciences, Psychiatry
Abstract

Considerable uncertainty exists about the defining brain changes associated with bipolar disorder (BD). Understanding and quantifying the sources of uncertainty can help generate novel clinical hypotheses about etiology and assist in the development of biomarkers for indexing disease progression and prognosis. Here we were interested in quantifying case-control differences in intracranial volume (ICV) and each of eight subcortical brain measures: nucleus accumbens, amygdala, caudate, hippocampus, globus pallidus, putamen, thalamus, lateral ventricles. In a large study of 1710 BD patients and 2594 healthy controls, we found consistent volumetric reductions in BD patients for mean hippocampus (Cohen's d=-0.232; P=3.50 × 10-7) and thalamus (d=-0.148; P=4.27 × 10-3) and enlarged lateral ventricles (d=-0.260; P=3.93 × 10-5) in patients. No significant effect of age at illness onset was detected. Stratifying patients based on clinical subtype (BD type I or type II) revealed that BDI patients had significantly larger lateral ventricles and smaller hippocampus and amygdala than controls. However, when comparing BDI and BDII patients directly, we did not detect any significant differences in brain volume. This likely represents similar etiology between BD subtype classifications. Exploratory analyses revealed significantly larger thalamic volumes in patients taking lithium compared with patients not taking lithium. We detected no significant differences between BDII patients and controls in the largest such comparison to date. Findings in this study should be interpreted with caution and with careful consideration of the limitations inherent to meta-analyzed neuroimaging comparisons.

Published
2016

6. Response to Dr Fried & Dr Kievit, and Dr Malhi et al.

Author

Schmaal, L, Veltman, DJ, van Erp, TGM, Sämann, PG, Frodl, T, Jahanshad, N, Loehrer, E, Vernooij, MW, Niessen, WJ, Ikram, MA, Wittfeld, K, Grabe, HJ, Block, A, Hegenscheid, K, Hoehn, D, Czisch, M, Lagopoulos, J, Hatton, SN, Hickie, IB, Goya-Maldonado, R, Krämer, B, Gruber, O, Couvy-Duchesne, B, Rentería, ME, Strike, LT, Wright, MJ, de Zubicaray, GI, McMahon, KL, Medland, SE, Gillespie, NA, Hall, GB, van Velzen, LS, van Tol, M-J, van der Wee, NJ, Veer, IM, Walter, H, Schramm, E, Normann, C, Schoepf, D, Konrad, C, Zurowski, B, McIntosh, AM, Whalley, HC, Sussmann, JE, Godlewska, BR, Fischer, FH, Penninx, BWJH, Thompson, PM, and Hibar, DP

Subjects
Biomedical and Clinical Sciences, Biological Psychology, Clinical and Health Psychology, Clinical Sciences, Psychology, Biological Sciences, Medical and Health Sciences, Psychology and Cognitive Sciences, Psychiatry, Clinical sciences, Biological psychology, Clinical and health psychology
Published
2016

7. Subcortical brain alterations in major depressive disorder: findings from the ENIGMA Major Depressive Disorder working group.

Author

Schmaal, L, Veltman, DJ, van Erp, TGM, Sämann, PG, Frodl, T, Jahanshad, N, Loehrer, E, Tiemeier, H, Hofman, A, Niessen, WJ, Vernooij, MW, Ikram, MA, Wittfeld, K, Grabe, HJ, Block, A, Hegenscheid, K, Völzke, H, Hoehn, D, Czisch, M, Lagopoulos, J, Hatton, SN, Hickie, IB, Goya-Maldonado, R, Krämer, B, Gruber, O, Couvy-Duchesne, B, Rentería, ME, Strike, LT, Mills, NT, de Zubicaray, GI, McMahon, KL, Medland, SE, Martin, NG, Gillespie, NA, Wright, MJ, Hall, GB, MacQueen, GM, Frey, EM, Carballedo, A, van Velzen, LS, van Tol, MJ, van der Wee, NJ, Veer, IM, Walter, H, Schnell, K, Schramm, E, Normann, C, Schoepf, D, Konrad, C, Zurowski, B, Nickson, T, McIntosh, AM, Papmeyer, M, Whalley, HC, Sussmann, JE, Godlewska, BR, Cowen, PJ, Fischer, FH, Rose, M, Penninx, BWJH, Thompson, PM, and Hibar, DP

Subjects
Brain, Hippocampus, Humans, Magnetic Resonance Imaging, Case-Control Studies, Depressive Disorder, Major, Adult, Middle Aged, Female, Male, Neuroimaging, major depressive disorder, structural volumes, ENIGMA consortium, meta-analysis, hippocampus, Depressive Disorder, Major, Psychiatry, Medical and Health Sciences, Biological Sciences, Psychology and Cognitive Sciences
Abstract

The pattern of structural brain alterations associated with major depressive disorder (MDD) remains unresolved. This is in part due to small sample sizes of neuroimaging studies resulting in limited statistical power, disease heterogeneity and the complex interactions between clinical characteristics and brain morphology. To address this, we meta-analyzed three-dimensional brain magnetic resonance imaging data from 1728 MDD patients and 7199 controls from 15 research samples worldwide, to identify subcortical brain volumes that robustly discriminate MDD patients from healthy controls. Relative to controls, patients had significantly lower hippocampal volumes (Cohen's d=-0.14, % difference=-1.24). This effect was driven by patients with recurrent MDD (Cohen's d=-0.17, % difference=-1.44), and we detected no differences between first episode patients and controls. Age of onset ⩽21 was associated with a smaller hippocampus (Cohen's d=-0.20, % difference=-1.85) and a trend toward smaller amygdala (Cohen's d=-0.11, % difference=-1.23) and larger lateral ventricles (Cohen's d=0.12, % difference=5.11). Symptom severity at study inclusion was not associated with any regional brain volumes. Sample characteristics such as mean age, proportion of antidepressant users and proportion of remitted patients, and methodological characteristics did not significantly moderate alterations in brain volumes in MDD. Samples with a higher proportion of antipsychotic medication users showed larger caudate volumes in MDD patients compared with controls. This currently largest worldwide effort to identify subcortical brain alterations showed robust smaller hippocampal volumes in MDD patients, moderated by age of onset and first episode versus recurrent episode status.

Published
2016

8. Subcortical brain volume abnormalities in 2028 individuals with schizophrenia and 2540 healthy controls via the ENIGMA consortium

Author

van Erp, TGM, Hibar, DP, Rasmussen, JM, Glahn, DC, Pearlson, GD, Andreassen, OA, Agartz, I, Westlye, LT, Haukvik, UK, Dale, AM, Melle, I, Hartberg, CB, Gruber, O, Kraemer, B, Zilles, D, Donohoe, G, Kelly, S, McDonald, C, Morris, DW, Cannon, DM, Corvin, A, Machielsen, MWJ, Koenders, L, de Haan, L, Veltman, DJ, Satterthwaite, TD, Wolf, DH, Gur, RC, Gur, RE, Potkin, SG, Mathalon, DH, Mueller, BA, Preda, A, Macciardi, F, Ehrlich, S, Walton, E, Hass, J, Calhoun, VD, Bockholt, HJ, Sponheim, SR, Shoemaker, JM, van Haren, NEM, Pol, HEH, Ophoff, RA, Kahn, RS, Roiz-Santiañez, R, Crespo-Facorro, B, Wang, L, Alpert, KI, Jönsson, EG, Dimitrova, R, Bois, C, Whalley, HC, McIntosh, AM, Lawrie, SM, Hashimoto, R, Thompson, PM, and Turner, JA

Subjects
Biological Psychology, Pharmacology and Pharmaceutical Sciences, Biomedical and Clinical Sciences, Psychology, Serious Mental Illness, Brain Disorders, Schizophrenia, Clinical Research, Neurosciences, Mental Health, Biomedical Imaging, Rare Diseases, Aetiology, 2.1 Biological and endogenous factors, Mental health, Good Health and Well Being, Adult, Brain, Brain Mapping, Case-Control Studies, Female, Functional Laterality, Humans, Image Processing, Computer-Assisted, Longitudinal Studies, Magnetic Resonance Imaging, Male, Middle Aged, Neuroimaging, Prospective Studies, Biological Sciences, Medical and Health Sciences, Psychology and Cognitive Sciences, Psychiatry, Clinical sciences, Biological psychology, Clinical and health psychology
Abstract

The profile of brain structural abnormalities in schizophrenia is still not fully understood, despite decades of research using brain scans. To validate a prospective meta-analysis approach to analyzing multicenter neuroimaging data, we analyzed brain MRI scans from 2028 schizophrenia patients and 2540 healthy controls, assessed with standardized methods at 15 centers worldwide. We identified subcortical brain volumes that differentiated patients from controls, and ranked them according to their effect sizes. Compared with healthy controls, patients with schizophrenia had smaller hippocampus (Cohen's d=-0.46), amygdala (d=-0.31), thalamus (d=-0.31), accumbens (d=-0.25) and intracranial volumes (d=-0.12), as well as larger pallidum (d=0.21) and lateral ventricle volumes (d=0.37). Putamen and pallidum volume augmentations were positively associated with duration of illness and hippocampal deficits scaled with the proportion of unmedicated patients. Worldwide cooperative analyses of brain imaging data support a profile of subcortical abnormalities in schizophrenia, which is consistent with that based on traditional meta-analytic approaches. This first ENIGMA Schizophrenia Working Group study validates that collaborative data analyses can readily be used across brain phenotypes and disorders and encourages analysis and data sharing efforts to further our understanding of severe mental illness.

Published
2016

9. Pharmakogenetik in der Psychiatrie: eine Standortbestimmung

Author

Müller, D. J., Brandl, E. J., Degenhardt, F., Domschke, K., Grabe, H., Gruber, O., Hebebrand, J., Maier, W., Menke, A., Riemenschneider, M., Rietschel, M., Rujescu, D., Schulze, T. G., Tebartz van Elst, L., Tüscher, O., Deckert, J., and das DGPPN Referat Neurobiologie und Genetik

Published
2018
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16. Concurrent antiepileptic and antipsychotic use moderates lithium’s effects on regional brain volumes: a mega-analysis from the ENIGMA-Bipolar Disorder Working Group

Author

King, S., Tronchin, G., Nabulsi, L., Thomopoulos, S.I., Fontana, E., Radua, J., Sim, K., Gruber, O., Yatham, L., Dannlowski, U., Kircher, T., Nenadic, I., Stein, F., Brosch, K., Howells, F., Haarman, B.C.M., Pomarol-Clotet, E., Vieta, E., Landen, M., Cannon, D., Alnæs, D., Westlye, L.T., Jaramillo, C. López, Soeiro-de-Souza, M. Gerhardt, Berk, M., Elvsåshagen, T., Roberts, G., Mitchell, P.B., Fullerton, J.M., Green, M.J., Quidé, Y., Hermesdorf, M., Berger, K., Soares, J., Satterthwaite, T., Savitz, J., Benedetti, F., Glahn, D., Hajek, T., Kuplicki, R., Gotlib, I.H., Amoretti, S., Sacchet, M., Favre, P., Van Rheenen, T., Karantonis, J. Anthony, Furlong, L., Forte, F., Rossell, S., Goldstein, B., Kennedy, K., Canales-Rodriguez, E., Lahud, E., Mwangi, B., Rodriguez-Cano, E., Salvador, R., Wu, M.-J., Houenou, J., Rodrigue, A., Melloni, E.M.T., Sponheim, S., Urosevic, S., Demro, C., Goya-Maldonado, R., Eyler, L., Thompson, P.M., Andreassan, O.A., Ching, C.R.K., and McDonald, C.

Published
2022
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17. Overview of Magnetic Diagnostics Planned for ITER

Author

de Kock, L., Ali-Arshad, S., Belyakov, V., Bender, S., Costley, A., Gruber, O., Kellman, A., Kutznetsov, Yu., Leuer, J., Matoba, T., McCarthy, P., Mukhovatov, V., Orlinski, D., Stott, P., Snider, R., Todd, T., Windsor, C., Yasin, I., Young, K., Stott, Peter E., editor, Gorini, Giuseppe, editor, and Sindoni, Elio, editor

Published
1996
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22. Influence of toroidal and vertical magnetic fields on Ion Cyclotron Wall Conditioning in tokamaks

Author

Lyssoivan, A., Sergienko, G., Rohde, V., Philipps, V., van Wassenhove, G., Vervier, M., Bobkov, V., Harhausen, J., Koch, R., Noterdaeme, J.-M., van Eester, D., Freisinger, M., Fahrbach, H.-U., Reimer, H., Kreter, A., Hartmann, D., Hu, J., Weynants, R., Gruber, O., Herrmann, A., Douai, D., Bae, Y.D., Esser, H.G., Kwak, J.G., Lerche, E., Marchuk, O., Mertens, V., Neu, R., Samm, U., Scarabosio, A., Schulz, C., and Wang, S.J.

Published
2009
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26. Status of JT-60SA tokamak under the EU-JA Broader Approach Agreement

Author

Matsukawa, M., Kikuchi, M., Fujii, T., Fujita, T., Hayashi, T., Higashijima, S., Hosogane, N., Ikeda, Y., Ide, S., Ishida, S., Kamada, Y., Kimura, H., Kizu, K., Kurihara, K., Kurita, G., Masaki, K., Matsunaga, G., Miya, N., Moriyama, S., Sakasai, A., Sakurai, S., Shibama, Y.K., Shimada, K., Sukegawa, A., Suzuki, T., Suzuki, Y., Takase, Y., Takechi, M., Tamai, H., Tsuchiya, K., Urano, H., Yamamoto, T., Yoshida, K., Andreani, R., Alonso, J., Barabaschi, P., Botija, J., Cara, P., Coletti, A., Coletti, R., Costa, P., Cucchiaro, A., Decool, P., Corte, A. Della, Dolgetta, N., Duchateau, J.-L., Fietz, W.H., Gaio, E., Grosman, A., Gruber, O., Heller, R., Henry, D., Hertout, P., Hourtoule, J., Lacroix, B., Magne, R., Medrano, M., Michel, F., Muzzi, L., Nicollet, S., Novello, L., Petrizzi, L., Piovan, R., Pizzuto, A., Portafaix, C., Rincon, E., Roccella, S., Semeraro, L., Turtù, S., Verder, J.-M., Villari, S., Zani, L., and Di Zenobio, A.

Published
2008
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32. Genetic architecture of subcortical brain structures in 38,854 individuals worldwide

Author

Satizabal, C., Adams, H., Hibar, D., White, C., Knol, M., Stein, J., Scholz, M., Sargurupremraj, M., Jahanshad, N., Roshchupkin, G., Smith, A., Bis, J., Jian, X., Luciano, M., Hofer, E., Teumer, A., Van der Lee, S., Yang, J., Yanek, L., Lee, T., Li, S., Hu, Y., Koh, J., Eicher, J., Desrivières, S., Arias-Vasquez, A., Chauhan, G., Athanasiu, L., Renteria, M., Kim, S., Höhn, D., Armstrong, N., Chen, Q., Holmes, A., Den Braber, A., Kloszewska, I., Andersson, M., Espeseth, T., Grimm, O., Abramovic, L., Alhusaini, S., Milaneschi, Y., Papmeyer, M., Axelsson, T., Ehrlich, S., Roiz-Santiañez, R., Kraemer, B., Håberg, A., Jones, H., Pike, G., Stein, D., Stevens, A., Bralten, J., Vernooij, M., Harris, T., Filippi, I., Witte, A., Guadalupe, T., Wittfeld, K., Mosley, T., Becker, J., Doan, N., Hagenaars, S., Saba, Y., Cuellar-Partida, G., Amin, N., Hilal, S., Nho, K., Karbalai, N., Arfanakis, K., Becker, D., Ames, D., Goldman, A., Lee, P., Boomsma, D., Lovestone, S., Giddaluru, S., Le Hellard, S., Mattheisen, M., Bohlken, M., Kasperaviciute, D., Schmaal, L., Lawrie, S., Agartz, I., Walton, E., Tordesillas-Gutierrez, D., Davies, G., Shin, J., Ipser, J., Vinke, L., Hoogman, M., Jia, T., Burkhardt, R., Klein, M., Crivello, F., Janowitz, D., Carmichael, O., Haukvik, U., Aribisala, B., Schmidt, H., Strike, L., Cheng, C., Risacher, S., Pütz, B., Fleischman, D., Assareh, A., Mattay, V., Buckner, R., Mecocci, P., Dale, A., Cichon, S., Boks, M., Matarin, M., Penninx, B., Calhoun, V., Chakravarty, M., Marquand, A., Macare, C., Masouleh, S., Oosterlaan, J., Amouyel, P., Hegenscheid, K., Rotter, J., Schork, A., Liewald, D., De Zubicaray, G., Wong, T., Shen, L., Sämann, P., Brodaty, H., Roffman, J., De Geus, E., Tsolaki, M., Erk, S., Van Eijk, K., Cavalleri, G., Van der Wee, N., McIntosh, A., Gollub, R., Bulayeva, K., Bernard, M., Richards, J., Himali, J., Loeffler, M., Rommelse, N., Hoffmann, W., Westlye, L., Valdés Hernández, M., Hansell, N., Van Erp, T., Wolf, C., Kwok, J., Vellas, B., Heinz, A., Olde Loohuis, L., Delanty, N., Ho, B., Ching, C., Shumskaya, E., Singh, B., Hofman, A., Van der Meer, D., Homuth, G., Psaty, B., Bastin, M., Montgomery, G., Foroud, T., Reppermund, S., Hottenga, J., Simmons, A., Meyer-Lindenberg, A., Cahn, W., Whelan, C., Van Donkelaar, M., Yang, Q., Hosten, N., Green, R., Thalamuthu, A., Mohnke, S., Hulshoff Pol, H., Lin, H., Jack Jr., C., Schofield, P., Mühleisen, T., Maillard, P., Potkin, S., Wen, W., Fletcher, E., Toga, A., Gruber, O., Huentelman, M., Smith, G., Launer, L., Nyberg, L., Jönsson, E., Crespo-Facorro, B., Koen, N., Greve, D., Uitterlinden, A., Weinberger, D., Steen, V., Fedko, I., Groenewold, N., Niessen, W., Toro, R., Tzourio, C., Longstreth Jr., W., Ikram, M., Smoller, J., Van Tol, M., Sussmann, J., Paus, T., Lemaître, H., Schroeter, M., Mazoyer, B., Andreassen, O., Holsboer, F., Depondt, C., Veltman, D., Turner, J., Pausova, Z., Schumann, G., Van Rooij, D., Djurovic, S., Deary, I., McMahon, K., Müller-Myhsok, B., Brouwer, R., Soininen, H., Pandolfo, M., Wassink, T., Cheung, J., Wolfers, T., Martinot, J., Zwiers, M., Nauck, M., Melle, I., Martin, N., Kanai, R., Westman, E., Kahn, R., Sisodiya, S., White, T., Saremi, A., Van Bokhoven, H., Brunner, H., Völzke, H., Wright, M., Van 't Ent, D., Nöthen, M., Ophoff, R., Buitelaar, J., Fernández, G., Sachdev, P., Rietschel, M., Van Haren, N., Fisher, S., Beiser, A., Francks, C., Saykin, A., Mather, K., Romanczuk-Seiferth, N., Hartman, C., DeStefano, A., Heslenfeld, D., Weiner, M., Walter, H., Hoekstra, P., Nyquist, P., Franke, B., Bennett, D., Grabe, H., Johnson, A., Chen, C., Van Duijn, C., Lopez, O., Fornage, M., Wardlaw, J., Schmidt, R., DeCarli, C., De Jager, P., Villringer, A., Debette, S., Gudnason, V., Medland, S., Shulman, J., Thompson, P., and Seshadri, S.

Subjects
nervous system
Abstract

Subcortical brain structures are integral to motion, consciousness, emotions and learning. We identified common genetic variation related to the volumes of the nucleus accumbens, amygdala, brainstem, caudate nucleus, globus pallidus, putamen and thalamus, using genome-wide association analyses in almost 40,000 individuals from CHARGE, ENIGMA and UK Biobank. We show that variability in subcortical volumes is heritable, and identify 48 significantly associated loci (40 novel at the time of analysis). Annotation of these loci by utilizing gene expression, methylation and neuropathological data identified 199 genes putatively implicated in neurodevelopment, synaptic signaling, axonal transport, apoptosis, inflammation/infection and susceptibility to neurological disorders. This set of genes is significantly enriched for Drosophila orthologs associated with neurodevelopmental phenotypes, suggesting evolutionarily conserved mechanisms. Our findings uncover novel biology and potential drug targets underlying brain development and disease.

Published
2019

36. P.3.14 Brain structural correlates of insomnia severity in major depressive disorder: Results from the ENIGMA-MDD consortium

Author

Leerssen, J., Blanken, T.F., Pozzi, E., Jahanshad, N., Aftanas, L., Baune, B.T., Dannlowski, U., Frodl, T., Godlewska, B.R., Gotlib, I.H., Grotegerd, D., Gruber, O., Hatton, S.N., Hickie, I.B., Irungu, B., Jaworska, N., Kircher, T., Krug, A., Lagopoulos, J., Li, M., MacMaster, F.P., McIntosh, A.M., Osipov, E., Portella, M.J., Sacchet, M.D., Saemann, P.G., Simulionyte, E., Soares, J.C., Walter, M., Whalley, H., Veltman, D., Thompson, P.M., Schmaal, L., and Van Someren, E.J.W.

Published
2019
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49. Genetic architecture of subcortical brain structures in 38,851 individuals

Author

SATIZABAL, C. L., ADAMS, H. H. H., HIBAR, D. P., WHITE, C. C., KNOL, M. J., STEIN, J. L., Scholz, M., Sargurupremraj, Muralidharan, JAHANSHAD, N., ROSHCHUPKIN, G. V., SMITH, A. V., BIS, J. C., JIAN, X., LUCIANO, M., Hofer, E., TEUMER, A., VAN DER LEE, S. J., Yang, J., YANEK, L. R., LEE, T. V., Li, S., Hu, Y., KOH, J. Y., EICHER, J. D., DESRIVIERES, S., ARIAS-VASQUEZ, A., Chauhan, G., ATHANASIU, L., RENTERIA, M. E., Kim, S., HOEHN, D., ARMSTRONG, N. J., Chen, Q., HOLMES, A. J., DEN BRABER, A., KLOSZEWSKA, I., Andersson, M., ESPESETH, T., Grimm, O., ABRAMOVIC, L., ALHUSAINI, S., MILANESCHI, Y., PAPMEYER, M., AXELSSON, T., Ehrlich, S., ROIZ-SANTIANEZ, R., KRAEMER, B., HABERG, A. K., JONES, H. J., Pike, G. B., STEIN, D. J., Stevens, A., BRALTEN, J., VERNOOIJ, M. W., HARRIS, T. B., FILIPPI, I., WITTE, A. V., Guadalupe, T., WITTFELD, K., MOSLEY, T. H., BECKER, J. T., DOAN, N. T., HAGENAARS, S. P., SABA, Y., CUELLAR-PARTIDA, G., Amin, N., HILAL, S., NHO, K., MIRZA-SCHREIBER, N., ARFANAKIS, K., BECKER, D. M., Ames, D., GOLDMAN, A. L., LEE, P. H., Boomsma, D. I., LOVESTONE, S., GIDDALURU, S., LE HELLARD, S., Mattheisen, M., BOHLKEN, M. M., KASPERAVICIUTE, D., SCHMAAL, L., LAWRIE, S. M., Agartz, I., Walton, E., TORDESILLAS-GUTIERREZ, D., DAVIES, G. E., Shin, J., IPSER, J. C., VINKE, L. N., HOOGMAN, M., Jia, T., BURKHARDT, R., Klein, M., Crivello, Fabrice, JANOWITZ, D., CARMICHAEL, O., HAUKVIK, U. K., ARIBISALA, B. S., Schmidt, H., STRIKE, L. T., CHENG, C. Y., RISACHER, S. L., PUTZ, B., FLEISCHMAN, D. A., ASSAREH, A. A., MATTAY, V. S., BUCKNER, R. L., MECOCCI, P., DALE, A. M., Cichon, S., BOKS, M. P., MATARIN, M., PENNINX, Bwjh, CALHOUN, V. D., CHAKRAVARTY, M. M., MARQUAND, A. F., MACARE, C., KHARABIAN MASOULEH, S., OOSTERLAAN, J., Amouyel, P., HEGENSCHEID, K., ROTTER, J. I., SCHORK, A. J., LIEWALD, D. C. M., DE ZUBICARAY, G. I., WONG, T. Y., Shen, L., SAMANN, P. G., BRODATY, H., ROFFMAN, J. L., DE GEUS, E. J. C., TSOLAKI, M., ERK, S., VAN EIJK, K. R., CAVALLERI, G. L., VAN DER WEE, N. J. A., MCINTOSH, A. M., GOLLUB, R. L., BULAYEVA, K. B., Bernard, M., RICHARDS, J. S., HIMALI, J. J., Loeffler, M., ROMMELSE, N., Hoffmann, W., WESTLYE, L. T., VALDES HERNANDEZ, M. C., HANSELL, N. K., VAN ERP, T. G. M., Wolf, C., KWOK, J. B. J., Vellas, B., Heinz, A., OLDE LOOHUIS, L. M., DELANTY, N., HO, B. C., CHING, C. R. K., SHUMSKAYA, E., Singh, B., Hofman, A., VAN DER MEER, D., Homuth, G., PSATY, B. M., BASTIN, M. E., MONTGOMERY, G. W., FOROUD, T. M., REPPERMUND, S., HOTTENGA, J. J., Simmons, A., Meyer-Lindenberg, A., Cahn, W., WHELAN, C. D., VAN DONKELAAR, M. M. J., Yang, Q., HOSTEN, N., GREEN, R. C., THALAMUTHU, A., MOHNKE, S., HULSHOFF POL, H. E., Lin, H., JACK, C. R., Jr., SCHOFIELD, P. R., MUHLEISEN, T. W., MAILLARD, P., POTKIN, S. G., Wen, W., FLETCHER, E., TOGA, A. W., Gruber, O., HUENTELMAN, M., DAVEY SMITH, G., LAUNER, L. J., Nyberg, L., JONSSON, E. G., CRESPO-FACORRO, B., KOEN, N., GREVE, D. N., UITTERLINDEN, A. G., WEINBERGER, D. R., STEEN, V. M., FEDKO, I. O., GROENEWOLD, N. A., Niessen, W. J., TORO, R., Tzourio, Christophe, LONGSTRETH, W. T., Jr., SMOLLER, J. W., VAN TOL, M. J., SUSSMANN, J. E., PAUS, T., Lemaitre, H., SCHROETER, M. L., Mazoyer, B., ANDREASSEN, O. A., Holsboer, F., DEPONDT, C., VELTMAN, D. J., Turner, J. A., PAUSOVA, Z., Schumann, G., Van Rooij, D., Djurovic, S., DEARY, I. J., MCMAHON, K. L., MULLER-MYHSOK, B., BROUWER, R. M., Soininen, H., Pandolfo, M., WASSINK, T. H., CHEUNG, J. W., WOLFERS, T., MARTINOT, J. L., ZWIERS, M. P., Nauck, M., Melle, I., Martin, N. G., Kanai, R., WESTMAN, E., KAHN, R. S., Sisodiya, S. M., White, T., SAREMI, A., van Bokhoven, H., Brunner, H. G., VOLZKE, H., WRIGHT, M. J., VAN 'T ENT, D., NOTHEN, M. M., OPHOFF, R. A., BUITELAAR, J. K., Fernandez, G., SACHDEV, P. S., Rietschel, M., VAN HAREN, N. E. M., Fisher, S. E., BEISER, A. S., Francks, C., SAYKIN, A. J., MATHER, K. A., ROMANCZUK-SEIFERTH, N., HARTMAN, C. A., DeStefano, A. L., HESLENFELD, D. J., WEINER, M. W., Walter, H., HOEKSTRA, P. J., NYQUIST, P. A., Franke, B., BENNETT, D. A., Grabe, H. J., JOHNSON, A. D., Chen, C., VAN DUIJN, C. M., LOPEZ, O. L., FORNAGE, M., WARDLAW, J. M., Schmidt, R., DeCarli, C., DE JAGER, P. L., VILLRINGER, A., Debette, Stephanie, GUDNASON, V., Medland, S. E., SHULMAN, J. M., THOMPSON, P. M., SESHADRI, S., IKRAM, M. K., Bordeaux population health (BPH), Université de Bordeaux (UB)-Institut de Santé Publique, d'Épidémiologie et de Développement (ISPED)-Institut National de la Santé et de la Recherche Médicale (INSERM), Institut de Neurosciences cognitives et intégratives d'Aquitaine (INCIA), and Université Bordeaux Segalen - Bordeaux 2-Université Sciences et Technologies - Bordeaux 1-SFR Bordeaux Neurosciences-Centre National de la Recherche Scientifique (CNRS)

Subjects
nervous system, VINTAGE, [SDV.SPEE]Life Sciences [q-bio]/Santé publique et épidémiologie, HEALTHY
Abstract

Subcortical brain structures are integral to motion, consciousness, emotions and learning. We identified common genetic variation related to the volumes of the nucleus accumbens, amygdala, brainstem, caudate nucleus, globus pallidus, putamen and thalamus, using genome-wide association analyses in almost 40,000 individuals from CHARGE, ENIGMA and UK Biobank. We show that variability in subcortical volumes is heritable, and identify 48 significantly associated loci (40 novel at the time of analysis). Annotation of these loci by utilizing gene expression, methylation and neuropathological data identified 199 genes putatively implicated in neurodevelopment, synaptic signaling, axonal transport, apoptosis, inflammation/infection and susceptibility to neurological disorders. This set of genes is significantly enriched for Drosophila orthologs associated with neurodevelopmental phenotypes, suggesting evolutionarily conserved mechanisms. Our findings uncover novel biology and potential drug targets underlying brain development and disease.

Published
2019

50. The Association between familial risk and brain abnormalities Is disease specific: an ENIGMA-relatives study of schizophrenia and bipolar disorder

Author

Zwarte, S. M. C., Brouwer, R. M., Agartz, I., Alda, M., Aleman, A., Alpert, K. I., Bearden, C. E., Bertolino, A., Bois, C., Bonvino, A., Bramon, E., Buimer, E., Cahn, W., Cannon, D. M., Cannon, T. D., Caseras, X., Castro-Fornieles, J., Chen, Q., Serna, E., Giorgio, A. D., Doucet, G., Eker, M. C., Erk, S., Fears, S., Foley, S., Frangou, S., Frankland, A., Fullerton, J., Glahn, D., Goghari, V., Goldman, A., Gonul, A., Gruber, O., Haan, L., Hajek, T., Hawkins, E., Heinz, A., Hillegers, M., Pol, H., Hultman, C., Ingvar, M., Johansson, V., Jönsson, E., Kane, K., Kempton, M., Koenis, M., Kopecek, M., Krabbendam, L., Krämer, B., Lawrie, S., Lenroot, R., Marcelis, M., Marsman, J-B, Mattay, V., McDonald, C., Meyer-Lindenberg, A., Michielse, S., Mitchell, P., Moreno, D., Murray, R., Mwangi, B., Najt, P., Neilson, E., Newport, J., Os, J., Overs, B., Özerdem, A., Picchioni, M., Richter, A., Roberts, G., Aydoğan, A. S., Schofield, P., Şimşek, F., Soares, J., Sugranyes, G., Toulopoulou, Timothea, Tronchin, G., Walter, H., Wang, L., Weinberger, D., Whalley, H., Yalın, N., Andreassen, O., Ching, C., Erp, T., Turner, J., Jahanshad, N., Thompson, P., Kahn, R., Haren, N., and Toulopoulou, Timothea

Subjects
Meta-analysis, Familial riskImaging, Bipolar disorder, Neurodevelopment, Schizophrenia
Abstract

Background Schizophrenia and bipolar disorder share genetic liability, and some structural brain abnormalities are common to both conditions. First-degree relatives of patients with schizophrenia (FDRs-SZ) show similar brain abnormalities to patients, albeit with smaller effect sizes. Imaging findings in first-degree relatives of patients with bipolar disorder (FDRs-BD) have been inconsistent in the past, but recent studies report regionally greater volumes compared with control subjects. Methods We performed a meta-analysis of global and subcortical brain measures of 6008 individuals (1228 FDRs-SZ, 852 FDRs-BD, 2246 control subjects, 1016 patients with schizophrenia, 666 patients with bipolar disorder) from 34 schizophrenia and/or bipolar disorder family cohorts with standardized methods. Analyses were repeated with a correction for intracranial volume (ICV) and for the presence of any psychopathology in the relatives and control subjects. Results FDRs-BD had significantly larger ICV (d = +0.16, q < .05 corrected), whereas FDRs-SZ showed smaller thalamic volumes than control subjects (d = −0.12, q < .05 corrected). ICV explained the enlargements in the brain measures in FDRs-BD. In FDRs-SZ, after correction for ICV, total brain, cortical gray matter, cerebral white matter, cerebellar gray and white matter, and thalamus volumes were significantly smaller; the cortex was thinner (d < −0.09, q < .05 corrected); and third ventricle was larger (d = +0.15, q < .05 corrected). The findings were not explained by psychopathology in the relatives or control subjects. Conclusions Despite shared genetic liability, FDRs-SZ and FDRs-BD show a differential pattern of structural brain abnormalities, specifically a divergent effect in ICV. This may imply that the neurodevelopmental trajectories leading to brain anomalies in schizophrenia or bipolar disorder are distinct.

Published
2019

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