224 results on '"Meinert, S."'
Search Results
2. Disease course and white matter microstructure both individually influence cognitive performance in depressed patients
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Meinert, S., primary, Flinkenflügel, K., additional, Kircher, T., additional, and Dannlowski, U., additional
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- 2024
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3. Changes in brain structure in the course of depression: A longitudinal imaging study across multiple follow-ups
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Kraus, A., primary, Dohm, K., additional, Grotegerd, D., additional, Schrammen, E., additional, Goltermann, J., additional, Enneking, V., additional, Leehr, E.J., additional, Böhnlein, J., additional, Bauer, J., additional, Hahn, T., additional, Dannlowski, U., additional, and Meinert, S., additional
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- 2024
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4. Using cross-validation for accurate estimation of effect size in mass-univariate VBM analysis
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Goltermann, J., primary, Winter, N.R., additional, Gruber, M., additional, Lukas, F., additional, Richter, M., additional, Grotegerd, D., additional, Dohm, K., additional, Meinert, S., additional, Berger, K., additional, Jansen, A., additional, Nenadić, I., additional, Kircher, T., additional, and Opel, N., additional
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- 2023
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5. Investigating the effect of social support on the association between child maltreatment and white matter microstructure
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Winter, A., primary, Meinert, S., additional, Thiel, K., additional, Flinkenflügel, K., additional, Brosch, K., additional, Krug, A., additional, Jansen, A., additional, Nenadić, I., additional, Kircher, T., additional, and Dannlowski, U., additional
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- 2023
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6. Childhood maltreatment and suicidality in major depressive disorder – a machine learning approach
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Winter, A., primary, Leenings, R., additional, Winter, N.R., additional, Meinert, S., additional, Flinkenflügel, K., additional, Thiel, K., additional, Goltermann, J., additional, Hahn, T., additional, Stein, F., additional, Brosch, K., additional, Usemann, P., additional, Teutenberg, L., additional, Thomas-Odenthal, F., additional, Pfarr, J.K., additional, Jansen, A., additional, Alexander, N., additional, Straube, B., additional, Jamalabadi, H., additional, Nenadic, I., additional, Kircher, T., additional, and Dannlowski, U., additional
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- 2023
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7. Social support in major depression: association with cognitive performance, whiter matter integrity, and disease course
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Flinkenflügel, K., primary, Meinert, S., additional, Thiel, K., additional, Winter, A., additional, Goltermann, J., additional, Brosch, K., additional, Stein, F., additional, Thomas-Odenthal, F., additional, Evermann, U., additional, Wroblewski, A., additional, Usemann, P., additional, Grotegerd, D., additional, Hahn, T., additional, Leehr, E.J., additional, Dohm, K., additional, Bauer, J., additional, Jamalabadi, H., additional, Straube, B., additional, Alexander, N., additional, Jansen, A., additional, Nenadić, I., additional, Kircher, T., additional, and Dannlowski, U., additional
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- 2023
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8. The impact of cognitive reserve on cognition, connectome pathology, and disease course in depression
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Gruber, M., primary, Klein, H., additional, Mauritz, M., additional, De Lange, S.C., additional, Grumbach, P., additional, Goltermann, J., additional, Winter, N.R., additional, Thiel, K., additional, Winter, A., additional, Flinkenflügel, K., additional, Borgers, T., additional, Enneking, V., additional, Klug, M., additional, Stein, F., additional, Brosch, K., additional, Usemann, P., additional, Thomas-Odenthal, F., additional, Wroblewski, A., additional, Steinsträter, O., additional, Pfarr, J.K., additional, Evermann, U., additional, Meinert, S., additional, Grotegerd, D., additional, Opel, N., additional, Hahn, T., additional, Leehr, E.J., additional, Bauer, J., additional, Reif, A., additional, Jansen, A., additional, Krug, A., additional, Nenadić, I., additional, Kircher, T., additional, Van den Heuvel, M.P., additional, Dannlowski, U., additional, and Repple, J., additional
- Published
- 2023
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9. White matter microstructure in major depressive disorder is associated with lymphocyte count: differential effects of childhood maltreatment
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Meinert, S., primary, Boller, A.L., additional, Kircher, T., additional, Dannlowski, U., additional, and Alferink, J., additional
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- 2023
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10. Trait, state or scar: brain structural differences in major depressive disorder using a converter sample
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Kraus, A., primary, Meinert, S., additional, Winter, A., additional, Thiel, K., additional, Flinkenflügel, K., additional, Grotegerd, D., additional, Goltermann, J., additional, Leehr, E.J., additional, Hahn, T., additional, Alexander, N., additional, Stein, F., additional, Brosch, K., additional, Usemann, P., additional, Teutenberg, L., additional, Thomas-Odenthal, F., additional, Jansen, A., additional, Nenadić, I., additional, Kircher, T., additional, Dohm, K., additional, and Dannlowski, U., additional
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- 2023
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11. Fiber microstructural differences in bipolar disorder types I and II: association with disease course and polygenic risk
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Thiel, K., primary, Lemke, H., additional, Winter, A., additional, Flinkenflügel, K., additional, Meinert, S., additional, Grotegerd, D., additional, Goltermann, J., additional, Leehr, E.J., additional, Dohm, K., additional, Kraus, A., additional, Hahn, T., additional, Brosch, K., additional, Evermann, U., additional, Pfarr, J.K., additional, Ringwald, K.G., additional, Stein, F., additional, Straube, B., additional, Teutenberg, L., additional, Thomas-Odenthal, F., additional, Usemann, P., additional, Wroblewski, A., additional, Alexander, N., additional, Jansen, A., additional, David, F., additional, Forstner, A., additional, Nenadić, I., additional, Kircher, T., additional, and Dannlowski, U., additional
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- 2023
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12. Effects of electroconvulsive therapy on amygdala function in major depression – a longitudinal functional magnetic resonance imaging study
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Redlich, R., Bürger, C., Dohm, K., Grotegerd, D., Opel, N., Zaremba, D., Meinert, S., Förster, K., Repple, J., Schnelle, R., Wagenknecht, C., Zavorotnyy, M., Heindel, W., Kugel, H., Gerbaulet, M., Alferink, J., Arolt, V., Zwanzger, P., and Dannlowski, U.
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- 2017
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13. TNF receptors 1 and 2 exert distinct region‐specific effects on striatal and hippocampal grey matter volumes (VBM) in healthy adults
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Stacey, D., Redlich, R., Büschel, A., Opel, N., Grotegerd, D., Zaremba, D., Dohm, K., Bürger, C., Meinert, S. L., Förster, K., Repple, J., Kaufmann, C., Kugel, H., Heindel, W., Arolt, V., Dannlowski, U., and Baune, B. T.
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- 2017
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14. Gray matter correlates of childhood maltreatment: investigation of robustness and replicability in a multi-cohort voxel-based analysis of 2952 adults
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Goltermann, J., Winter, N., Waltemate, L., Schrammen, E., Meinert, S., Grotegerd, D., Dohm, K., Thiel, K., Lemke, H., Breuer, F., Gruber, M., Repple, J., Teismann, H., Hermesdorf, M., Berger, K., Jansen, A., Nenadić, I., Kircher, T., Opel, N., and Dannlowski, U.
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- 2022
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15. Cognitive performance and brain structural connectome alterations in major depressive disorder
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Gruber, M., Mauritz, M., Meinert, S., Grotegerd, D., de Lange, S.C., Grumbach, P., Goltermann, J., Winter, N.R., Waltemate, L., Lemke, H., Thiel, K., Winter, A., Breuer, F., Borgers, T., Enneking, V., Klug, M., Brosch, K., Meller, T., Pfarr, J.K., Ringwald, K.G., Stein, F., Opel, N., Redlich, R., Hahn, T., Leehr, E.J., Bauer, J., Nenadic, I., Kircher, T., van den Heuvel, M.P., Dannlowski, U., and Repple, J.
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- 2022
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16. P.0277 Mood state effects on fractional anisotropy in bipolar disorder
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Thiel, K., primary, Meinert, S., additional, Winter, A., additional, Lemke, H., additional, Waltemate, L., additional, Brosch, K., additional, Meller, T., additional, Pfarr, J.K., additional, Ringwald, K.G., additional, Schmitt, S., additional, Stein, F., additional, Nenadić, I., additional, Kircher, T., additional, and Dannlowski, U., additional
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- 2021
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17. P.0399 Differential subcortical volume in patients with major depressive disorder and healthy controls depending on patterns of adverse childhood experiences
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Waltemate, L., primary, Lemke, H., additional, Thiel, K., additional, Winter, A., additional, Meinert, S., additional, Brosch, K., additional, Meller, T., additional, Pfarr, J.K., additional, Ringwald, K.G., additional, Schmitt, S., additional, Stein, F., additional, Nenadic, I., additional, Kircher, T., additional, and Dannlowski, U., additional
- Published
- 2021
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18. P.0365 Associations between abnormal brain function during emotion processing and lifetime disease course in major depressive disorder
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Lemke, H., primary, Waltemate, L., additional, Thiel, K., additional, Winter, A., additional, Meinert, S., additional, Grotegerd, D., additional, Leehr, L., additional, Dohm, K., additional, Enneking, V., additional, Klug, M., additional, Stein, F., additional, Brosch, K., additional, Pfarr, J., additional, Schmitt, S., additional, Ringwald, K., additional, Kircher, T., additional, Nenadic, I., additional, and Dannlowski, U., additional
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- 2021
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19. P.0677 Fronto-limbic functional connectivity associated with childhood maltreatment in adults with depression
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Goltermann, J., primary, Winter, N., additional, Meinert, S., additional, Sindermann, L., additional, Lemke, H., additional, Leehr, E.J., additional, Grotegerd, D., additional, Winter, A., additional, Thiel, K., additional, Teckentrup, V., additional, Opel, N., additional, Hahn, T., additional, and Dannlowski, U., additional
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- 2021
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20. P.305 Inferior frontal gyrus activity as a possible neural marker of depression with comorbid anxiety compared to depression
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Sindermann, L., primary, Leehr, E.J., additional, Redlich, R., additional, Meinert, S., additional, Böhnlein, J., additional, Grotegerd, D., additional, Pollack, D., additional, Reppen, M., additional, Waltemate, L., additional, Fingas, S., additional, Lemke, H., additional, Enneking, V., additional, Opel, N., additional, Repple, J., additional, Goltermann, J., additional, and Dannlowski, U., additional
- Published
- 2021
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21. P.304 Associations between disease course and abnormal brain function during emotion processing in major depressive disorder
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Lemke, H., primary, Waltemate, L., additional, Thiel, K., additional, Winter, A., additional, Meinert, S., additional, and Dannlowski, U., additional
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- 2021
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22. Brain structural correlates of alexithymia in patients with major depressive disorder
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Förster, K. (Katharina), Enneking, V. (Verena), Dohm, K. (Katharina), Redlich, R. (Ronny), Meinert, S. (Susanne), Geisler, A.I. (Adina), Leehr, E.J. (Elisabeth), Kugel, H. (Harald), Baune, B.T. (Bernhard), Arolt, V. (Volker), Zwitserlood, P. (Pienie), Grotegerd, D. (Dominik), Dannlowski, U. (Udo), and Universitäts- und Landesbibliothek Münster
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Medicine and health ,ddc:610 ,behavioral disciplines and activities - Abstract
BACKGROUND: Alexithymia is a risk factor for major depressive disorder (MDD) and has been associated with diminished treatment response. Neuroimaging studies have revealed structural aberrations of the anterior cingulate cortex and the fusiform gyrus in healthy controls with high levels of alexithymia. The present study tried to corroborate and extend these results to patients with MDD compared with healthy controls. METHODS: We investigated the relationship between alexithymia, depression and grey matter volume in 63 patients with MDD (mean age ± standard deviation = 42.43 yr ± 11.91; 33 female) and 46 healthy controls (45.35 yr ± 8.37; 22 female). We assessed alexithymia using the Toronto Alexithymia Scale. We conducted an alexithymia × group analysis of covariance; we used a region-of-interest approach, including the fusiform gyrus and anterior cingulate cortex, and conducted whole brain analysis using voxelbased morphometry. RESULTS: Our analysis revealed a significant alexithymia × group interaction in the fusiform gyrus (left, pFWE = 0.031; right, pFWE = 0.010). Higher alexithymia scores were associated with decreased grey matter volume in patients with MDD (pFWE = 0.009), but with increased grey matter volume of the fusiform gyrus in healthy controls (pFWE = 0.044). We found no significant main effects in the region-of-interest analysis. LIMITATIONS: Owing to the naturalistic nature of our study, patients with MDD and healthy controls differed significantly in their alexithymia scores. CONCLUSION: Our results showed the fusiform gyrus as a correlate of alexithymia. We also found differences related to alexithymia between patients with MDD and healthy controls in the fusiform gyrus. Our study encourages research related to the transition from risk to MDD in people with alexithymia.
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- 2020
23. The impact from complications of pregnancy on gyrification
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Schmitt, S, additional, Meller, T, additional, Stein, F, additional, Brosch, K, additional, Meinert, S, additional, Grotegerd, D, additional, Dannlowski, U, additional, Krug, A, additional, Nenadíc, I, additional, and Kirchner, T, additional
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- 2020
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24. The influence of recent stressful life events on brain structure
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Ringwald, K, additional, Meller, T, additional, Brosch, K, additional, Schmitt, S, additional, Stein, F, additional, Pfarr, J, additional, Waltemate, L, additional, Meinert, S, additional, Lemke, H, additional, Fingas, S, additional, Redlich, R, additional, Dannlowski, U, additional, Nenadic, I, additional, and Kirch, T, additional
- Published
- 2020
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25. P.328 Replication of effects of cumulative illness severity on hippocampal gray matter volume in the FOR2107 cohort
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Lemke, H., primary, Förster, K., additional, Waltemate, L., additional, Meinert, S., additional, Stein, F., additional, Brosch, K., additional, Fingas, S., additional, Romankiewicz, L., additional, Grotegerd, D., additional, Redlich, R., additional, Koch, K., additional, Leehr, E., additional, Böhnlein, J., additional, Goltermann, J., additional, Winter, N., additional, Enneking, V., additional, Opel, N., additional, Emden, D., additional, Repple, J., additional, Leenings, R., additional, Kaehler, C., additional, Hahn, T., additional, Schmitt, S., additional, Meller, T., additional, Jansen, A., additional, Krug, A., additional, Kircher, T., additional, Nenadic, I., additional, Baune, B.T., additional, and Dannlowski, U., additional
- Published
- 2020
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26. P.329 White matter microstructure is associated with course of illness rather than acute symptomatology in depression
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Meinert, S., primary, Lemke, H., additional, Waltemate, L., additional, Stein, F., additional, Brosch, K., additional, Nenadic, I., additional, Kircher, T., additional, and Dannlowski, U., additional
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- 2020
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27. Shared vulnerability for connectome alterations across psychiatric and neurological brain disorders
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de Lange SC, Scholtens LH, Alzheimer’s Disease Neuroimaging Initiative, van den Berg LH, Boks MP, Bozzali M, Cahn W, Dannlowski U, Durston S, Geuze E, van Haren NEM, Hillegers MHJ, Koch K, Jurado MA, Mancini M, Marqués-Iturria I, Meinert S, Ophoff RA, Reess TJ, Repple J, Kahn RS, and van den Heuvel MP
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Behavioral Neuroscience ,Social Psychology ,Journal Article ,Experimental and Cognitive Psychology - Abstract
Macroscale white matter pathways are the infrastructure for large-scale communication in the human brain and a prerequisite for healthy brain function. Disruptions in the brain's connectivity architecture play an important role in many psychiatric and neurological brain disorders. Here we show that connections important for global communication and network integration are particularly vulnerable to brain alterations across multiple brain disorders. We report on a cross-disorder connectome study comprising in total 1,033 patients and 1,154 matched controls across 8 psychiatric and 4 neurological disorders. We extracted disorder connectome fingerprints for each of these 12 disorders and combined them into a 'cross-disorder disconnectivity involvement map' describing the level of cross-disorder involvement of each white matter pathway of the human brain network. Network analysis revealed connections central to global network communication and integration to display high disturbance across disorders, suggesting a general cross-disorder involvement and the importance of these pathways in normal function.
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- 2019
28. NPY attenuates positive cortical DC-potential shift upon food intake in man
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Hallschmid, M, Gais, S, Meinert, S, and Born, J
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- 2003
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29. The Impact of Polygenic Risk for Schizophrenia on Memory-related Activation in the Anterior Cingulate Cortex (ACC)
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Schmitt, S, additional, Sauder, T, additional, Meier, F, additional, Engelen, J, additional, Bröhl, H, additional, Dietsche, B, additional, Heinen, J, additional, Yüksel, D, additional, Zaremba, D, additional, Meinert, S, additional, Dohm, K, additional, Förster, K, additional, Bürger, C, additional, Redlich, R, additional, Dannlowski, U, additional, Kircher, T, additional, Krug, A, additional, and Nenadić, I, additional
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- 2017
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30. The Impact of a Polygenic Risk for Bipolar Disorder on Memory-related Activation in the Precuneus
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Sauder, T, additional, Schmitt, S, additional, Meier, F, additional, Engelen, J, additional, Bröhl, H, additional, Yüksel, D, additional, Heinen, J, additional, Dietsche, B, additional, Zaremba, D, additional, Meinert, S, additional, Bürger, C, additional, Dohm, K, additional, Förster, K, additional, Redlich, R, additional, Dannlowski, U, additional, Kircher, T, additional, Krug, A, additional, and Nenadić, I, additional
- Published
- 2017
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31. TNF receptors 1 and 2 exert distinct region-specific effects on striatal and hippocampal grey matter volumes (VBM) in healthy adults
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Stacey, D., primary, Redlich, R., additional, Büschel, A., additional, Opel, N., additional, Grotegerd, D., additional, Zaremba, D., additional, Dohm, K., additional, Bürger, C., additional, Meinert, S. L., additional, Förster, K., additional, Repple, J., additional, Kaufmann, C., additional, Kugel, H., additional, Heindel, W., additional, Arolt, V., additional, Dannlowski, U., additional, and Baune, B. T., additional
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- 2016
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32. Systembiologische Charakterisierung des Glucose- und Gluconatstoffwechsels in Penicillium chrysogenum
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Schmitz, K., primary, Meinert, S., additional, Kornfeld, G., additional, Hardimann, T., additional, Wiechert, W., additional, and Noack, S., additional
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- 2012
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33. Fluxomics für Penicillium chrysogenum - Erfahrungsbericht eines industriellen Kollaborationsprojekts
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Niedenführ, S., primary, Meinert, S., additional, Hardiman, T., additional, Kornfeld, G., additional, Wiechert, W., additional, and Nöh, K., additional
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- 2012
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34. Description and physical localization of the bovine survival of motor neuron gene (SMN)
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Pietrowski, D., primary, Goldammer, T., additional, Meinert, S., additional, Schwerin, M., additional, and Förster, M., additional
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- 1998
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35. Description and physical localization of the bovine survival of motor neuron gene (SMN).
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Pietrowski, D., Goldammer, T., Meinert, S., Schwerin, M., and Förster, M.
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SPINAL muscular atrophy ,SPINAL cord diseases ,GENES ,NUCLEOTIDE sequence ,GENE mapping ,CATTLE genetics ,GENETICS - Abstract
Proximal spinal muscular atrophy (SMA) is an autosomal recessive disease in humans and other mammals, characterized by degeneration of anterior horn cells of the spinal cord. In humans, the survival of motor neuron gene (SMN) has been recognized as the SMA-determining gene and has been mapped to 5q13. In cattle, SMA is a recurrent, inherited disease that plays an important economic role in breeding programs of Brown Swiss stock. Now we have identified the full- length cDNA sequence of the bovine SMN gene. Molecular analysis and characterization of the sequence documents 85% identity to its human counterpart and three evolutionarily conserved domains in different species. Physical mapping data reveals that bovine SMN is localized to chromosome region 20q12→q13, supporting the conserved synteny of this chromosomal region between humans and cattle. [ABSTRACT FROM AUTHOR]
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- 1998
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36. Separation of dehydrogenases on polyaminomethyl-styrene
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Schöpp, W., primary, Meinert, S., additional, Thyfronitou, J., additional, and Aurich, H., additional
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- 1975
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37. Association between body mass index and subcortical brain volumes in bipolar disorders–ENIGMA study in 2735 individuals
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Eduard Vieta, Jose Manuel Goikolea, Joaquim Raduà, Janice M. Fullerton, Lakshmi N. Yatham, Peter R. Schofield, Carlos López-Jaramillo, Tomas Hajek, Edith Pomarol-Clotet, Henk Temmingh, Francesco Benedetti, Ulrik Fredrik Malt, Erlend Bøen, Roel A. Ophoff, Bartholomeus C M Haarman, Cristian Vargas, Kang Sim, Katharina Thiel, Ole A. Andreassen, Tim Hahn, Lisa T. Eyler, Philip B. Mitchell, Christopher R.K. Ching, Axel Krug, Jonathan Repple, Annabel Vreeker, Dara M. Cannon, Sandra Meier, Colm McDonald, Holly Van Gestel, Hannah Lemke, Maike Richter, Caterina del Mar Bonnín, Udo Dannlowski, Tilo Kircher, Martin Alda, Mikael Landén, Janik Goltermann, Torbjørn Elvsåshagen, Genevieve McPhilemy, Jonathan Savitz, Susanne Meinert, Igor Nenadic, Simon Schmitt, Bronwyn Overs, Katharina Brosch, Dan J. Stein, Raymond Salvador, Dominik Grotegerd, Nils Opel, Martin Ingvar, Sean R. McWhinney, Erick J. Canales-Rodríguez, Elena Mazza, Gloria Roberts, Paul M. Thompson, Neeltje E.M. van Haren, Tiana Borgers, Fiona M. Martyn, Frederike Stein, Julia-Katharina Pfarr, Benny Liberg, Julian A Pineda-Zapata, Christoph Abé, Lena Waltemate, Tina Meller, Kai Ringwald, Ana M. Díaz-Zuluaga, Elisa M T Melloni, Rayus Kuplicki, Leila Nabulsi, Fleur M. Howells, Psychiatry, Child and Adolescent Psychiatry / Psychology, Mcwhinney, S. R., Abe, C., Alda, M., Benedetti, F., Boen, E., del Mar Bonnin, C., Borgers, T., Brosch, K., Canales-Rodriguez, E. J., Cannon, D. M., Dannlowski, U., Diaz-Zuluaga, A. M., Elvsashagen, T., Eyler, L. T., Fullerton, J. M., Goikolea, J. M., Goltermann, J., Grotegerd, D., Haarman, B. C. M., Hahn, T., Howells, F. M., Ingvar, M., Kircher, T. T. J., Krug, A., Kuplicki, R. T., Landen, M., Lemke, H., Liberg, B., Lopez-Jaramillo, C., Malt, U. F., Martyn, F. M., Mazza, E., Mcdonald, C., Mcphilemy, G., Meier, S., Meinert, S., Meller, T., Melloni, E. M. T., Mitchell, P. B., Nabulsi, L., Nenadic, I., Opel, N., Ophoff, R. A., Overs, B. J., Pfarr, J. -K., Pineda-Zapata, J. A., Pomarol-Clotet, E., Radua, J., Repple, J., Richter, M., Ringwald, K. G., Roberts, G., Salvador, R., Savitz, J., Schmitt, S., Schofield, P. R., Sim, K., Stein, D. J., Stein, F., Temmingh, H. S., Thiel, K., van Haren, N. E. M., Gestel, H. V., Vargas, C., Vieta, E., Vreeker, A., Waltemate, L., Yatham, L. N., Ching, C. R. K., Andreassen, O., Thompson, P. M., Hajek, T., and Clinical Cognitive Neuropsychiatry Research Program (CCNP)
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medicine.medical_specialty ,Bipolar Disorder ,Hippocampus ,Amygdala ,Article ,Body Mass Index ,Cellular and Molecular Neuroscience ,Lateral ventricles ,SDG 3 - Good Health and Well-being ,Neuroimaging ,Internal medicine ,medicine ,Humans ,Risk factor ,Molecular Biology ,business.industry ,Brain ,medicine.disease ,Magnetic Resonance Imaging ,Obesity ,Comorbidity ,Psychiatry and Mental health ,medicine.anatomical_structure ,Cardiology ,business ,Body mass index ,Neuroscience - Abstract
Individuals with bipolar disorders (BD) frequently suffer from obesity, which is often associated with neurostructural alterations. Yet, the effects of obesity on brain structure in BD are under-researched. We obtained MRI-derived brain subcortical volumes and body mass index (BMI) from 1134 BD and 1601 control individuals from 17 independent research sites within the ENIGMA-BD Working Group. We jointly modeled the effects of BD and BMI on subcortical volumes using mixed-effects modeling and tested for mediation of group differences by obesity using nonparametric bootstrapping. All models controlled for age, sex, hemisphere, total intracranial volume, and data collection site. Relative to controls, individuals with BD had significantly higher BMI, larger lateral ventricular volume, and smaller volumes of amygdala, hippocampus, pallidum, caudate, and thalamus. BMI was positively associated with ventricular and amygdala and negatively with pallidal volumes. When analyzed jointly, both BD and BMI remained associated with volumes of lateral ventricles and amygdala. Adjusting for BMI decreased the BD vs control differences in ventricular volume. Specifically, 18.41% of the association between BD and ventricular volume was mediated by BMI (Z = 2.73, p = 0.006). BMI was associated with similar regional brain volumes as BD, including lateral ventricles, amygdala, and pallidum. Higher BMI may in part account for larger ventricles, one of the most replicated findings in BD. Comorbidity with obesity could explain why neurostructural alterations are more pronounced in some individuals with BD. Future prospective brain imaging studies should investigate whether obesity could be a modifiable risk factor for neuroprogression.
- Published
- 2021
38. Influence of electroconvulsive therapy on white matter structure in a diffusion tensor imaging study
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Irene Bollettini, Ramona Leenings, Volker Arolt, Katharina Dohm, Jonathan Repple, Felix Stahl, Dario Zaremba, Verena Enneking, Claas Kaehler, Nils Opel, Katharina Förster, Elisabeth J. Leehr, Jochen Bauer, Udo Dannlowski, Harald Kugel, Ronny Redlich, Nils R. Winter, Tim Hahn, Francesco Benedetti, Dominik Grotegerd, Susanne Meinert, Christian Bürger, Walter Heindel, Daniel Emden, Joscha Böhnlein, Repple, J., Meinert, S., Bollettini, I., Grotegerd, D., Redlich, R., Zaremba, D., Burger, C., Forster, K., Dohm, K., Stahl, F., Opel, N., Hahn, T., Enneking, V., Leehr, E. J., Bohnlein, J., Leenings, R., Kaehler, C., Emden, D., Winter, N. R., Heindel, W., Kugel, H., Bauer, J., Arolt, V., Benedetti, F., and Dannlowski, U.
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Adult ,Male ,FA ,medicine.medical_specialty ,medicine.medical_treatment ,behavioral disciplines and activities ,White matter ,Young Adult ,03 medical and health sciences ,0302 clinical medicine ,Electroconvulsive therapy ,Internal medicine ,mental disorders ,Fractional anisotropy ,medicine ,Humans ,Prospective Studies ,Electroconvulsive Therapy ,Prospective cohort study ,Applied Psychology ,Depressive Disorder, Major ,business.industry ,MD ,ECT ,Biomarker ,Middle Aged ,medicine.disease ,White Matter ,White matter changes ,030227 psychiatry ,Psychiatry and Mental health ,Diffusion Tensor Imaging ,medicine.anatomical_structure ,Therapy response ,DTI ,Case-Control Studies ,depression ,Cardiology ,Major depressive disorder ,Female ,business ,Biomarkers ,030217 neurology & neurosurgery ,Diffusion MRI - Abstract
BackgroundElectroconvulsive therapy (ECT) is a fast-acting intervention for major depressive disorder. Previous studies indicated neurotrophic effects following ECT that might contribute to changes in white matter brain structure. We investigated the influence of ECT in a non-randomized prospective study focusing on white matter changes over time.MethodsTwenty-nine severely depressed patients receiving ECT in addition to inpatient treatment, 69 severely depressed patients with inpatient treatment (NON-ECT) and 52 healthy controls (HC) took part in a non-randomized prospective study. Participants were scanned twice, approximately 6 weeks apart, using diffusion tensor imaging, applying tract-based spatial statistics. Additional correlational analyses were conducted in the ECT subsample to investigate the effects of seizure duration and therapeutic response.ResultsMean diffusivity (MD) increased after ECT in the right hemisphere, which was an ECT-group-specific effect. Seizure duration was associated with decreased fractional anisotropy (FA) following ECT. Longitudinal changes in ECT were not associated with therapy response. However, within the ECT group only, baseline FA was positively and MD negatively associated with post-ECT symptomatology.ConclusionOur data suggest that ECT changes white matter integrity, possibly reflecting increased permeability of the blood–brain barrier, resulting in disturbed communication of fibers. Further, baseline diffusion metrics were associated with therapy response. Coherent fiber structure could be a prerequisite for a generalized seizure and inhibitory brain signaling necessary to successfully inhibit increased seizure activity.
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- 2019
39. Characterisation of age and polarity at onset in bipolar disorder
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Kalman, Janos, Olde Loohuis, Loes, Vreeker, Annabel, Mcquillin, Andrew, Stahl, Eli, Ruderfer, Douglas, Grigoroiu-Serbanescu, Maria, Panagiotaropoulou, Georgia, Ripke, Stephan, Bigdeli, Tim, Stein, Frederike, Meller, Tina, Meinert, Susanne, Pelin, Helena, Streit, Fabian, Papiol, Sergi, Adams, Mark, Adolfsson, Rolf, Adorjan, Kristina, Agartz, Ingrid, Aminoff, Sofie, Anderson-Schmidt, Heike, Andreassen, Ole, Ardau, Raffaella, Aubry, Jean-Michel, Balaban, Ceylan, Bass, Nicholas, Baune, Bernhard, Bellivier, Frank, Benabarre, Antoni, Bengesser, Susanne, Berrettini, Wade, Boks, Marco, Bromet, Evelyn, Brosch, Katharina, Budde, Monika, Byerley, William, Cervantes, Pablo, Chillotti, Catina, Cichon, Sven, Clark, Scott, Comes, Ashley, Corvin, Aiden, Coryell, William, Craddock, Nick, Craig, David, Croarkin, Paul, Cruceanu, Cristiana, Czerski, Piotr, Dalkner, Nina, Dannlowski, Udo, Degenhardt, Franziska, del Zompo, Maria, Depaulo, J Raymond, Djurovic, Srdjan, Edenberg, Howard, Eissa, Mariam Al, Elvsåshagen, Torbjørn, Etain, Bruno, Fanous, Ayman, Fellendorf, Frederike, Fiorentino, Alessia, Forstner, Andreas, Frye, Mark, Fullerton, Janice, Gade, Katrin, Garnham, Julie, Gershon, Elliot, Gill, Michael, Goes, Fernando, Gordon-Smith, Katherine, Grof, Paul, Guzman-Parra, Jose, Hahn, Tim, Hasler, Roland, Heilbronner, Maria, Heilbronner, Urs, Jamain, Stephane, Jimenez, Esther, Jones, Ian, Jones, Lisa, Jonsson, Lina, Kahn, Rene, Kelsoe, John, Kennedy, James, Kircher, Tilo, Kirov, George, Kittel-Schneider, Sarah, Klöhn-Saghatolislam, Farah, Knowles, James, Kranz, Thorsten, Lagerberg, Trine Vik, Landen, Mikael, Lawson, William, Leboyer, Marion, Li, Qingqin, Maj, Mario, Malaspina, Dolores, Manchia, Mirko, Mayoral, Fermin, Mcelroy, Susan, Mcinnis, Melvin, McIntosh, Andrew, Medeiros, Helena, Melle, Ingrid, Milanova, Vihra, Mitchell, Philip, Monteleone, Palmiero, Monteleone, Alessio Maria, Nöthen, Markus, Novak, Tomas, Nurnberger, John, O'Brien, Niamh, O'Connell, Kevin, O'Donovan, Claire, O'Donovan, Michael, Opel, Nils, Ortiz, Abigail, Owen, Michael, Pålsson, Erik, Pato, Carlos, Pato, Michele, Pawlak, Joanna, Pfarr, Julia-Katharina, Pisanu, Claudia, Potash, James, Rapaport, Mark, Reich-Erkelenz, Daniela, Reif, Andreas, Reininghaus, Eva, Repple, Jonathan, Richard-Lepouriel, Hélène, Rietschel, Marcella, Ringwald, Kai, Roberts, Gloria, Rouleau, Guy, Schaupp, Sabrina, Scheftner, William, Schmitt, Simon, Schofield, Peter, Schubert, K Oliver, Schulte, Eva, Schweizer, Barbara, Senner, Fanny, Severino, Giovanni, Sharp, Sally, Slaney, Claire, Smeland, Olav, Sobell, Janet, Squassina, Alessio, Stopkova, Pavla, Strauss, John, Tortorella, Alfonso, Turecki, Gustavo, Twarowska-Hauser, Joanna, Veldic, Marin, Vieta, Eduard, Vincent, John, Xu, Wei, Zai, Clement, Zandi, Peter, Di Florio, Arianna, Smoller, Jordan, Biernacka, Joanna, Mcmahon, Francis, Alda, Martin, Müller-Myhsok, Bertram, Koutsouleris, Nikolaos, Falkai, Peter, Freimer, Nelson, Andlauer, Till, Schulze, Thomas, Ophoff, Roel, Depaulo, J. Raymond, Schubert, K. Oliver, Andlauer, Till F.M., Optimisation thérapeutique en Neuropsychopharmacologie (OPTeN (UMR_S_1144 / U1144)), Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Paris Cité (UPCité), Hôpital Lariboisière-Fernand-Widal [APHP], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP), IMRB - 'Neuropsychiatrie translationnelle' [Créteil] (U955 Inserm - UPEC), Institut Mondor de Recherche Biomédicale (IMRB), Institut National de la Santé et de la Recherche Médicale (INSERM)-IFR10-Université Paris-Est Créteil Val-de-Marne - Paris 12 (UPEC UP12)-Institut National de la Santé et de la Recherche Médicale (INSERM)-IFR10-Université Paris-Est Créteil Val-de-Marne - Paris 12 (UPEC UP12), Etain, Bruno, Child and Adolescent Psychiatry / Psychology, Psychiatry, Kalman, J. L., Loohuis, L. M. O., Vreeker, A., Mcquillin, A., Stahl, E. A., Ruderfer, D., Grigoroiu-Serbanescu, M., Panagiotaropoulou, G., Ripke, S., Bigdeli, T. B., Stein, F., Meller, T., Meinert, S., Pelin, H., Streit, F., Papiol, S., Adams, M. J., Adolfsson, R., Adorjan, K., Agartz, I., Aminoff, S. R., Anderson-Schmidt, H., Andreassen, O. A., Ardau, R., Aubry, J. -M., Balaban, C., Bass, N., Baune, B. T., Bellivier, F., Benabarre, A., Bengesser, S., Berrettini, W. H., Boks, M. P., Bromet, E. J., Brosch, K., Budde, M., Byerley, W., Cervantes, P., Chillotti, C., Cichon, S., Clark, S. R., Comes, A. L., Corvin, A., Coryell, W., Craddock, N., Craig, D. W., Croarkin, P. E., Cruceanu, C., Czerski, P. M., Dalkner, N., Dannlowski, U., Degenhardt, F., Del Zompo, M., Depaulo, J. R., Djurovic, S., Edenberg, H. J., Al Eissa, M., Elvsashagen, T., Etain, B., Fanous, A. H., Fellendorf, F., Fiorentino, A., Forstner, A. J., Frye, M. A., Fullerton, J. M., Gade, K., Garnham, J., Gershon, E., Gill, M., Goes, F. S., Gordon-Smith, K., Grof, P., Guzman-Parra, J., Hahn, T., Hasler, R., Heilbronner, M., Heilbronner, U., Jamain, S., Jimenez, E., Jones, I., Jones, L., Jonsson, L., Kahn, R. S., Kelsoe, J. R., Kennedy, J. L., Kircher, T., Kirov, G., Kittel-Schneider, S., Klohn-Saghatolislam, F., Knowles, J. A., Kranz, T. M., Lagerberg, T. V., Landen, M., Lawson, W. B., Leboyer, M., Li, Q. S., Maj, M., Malaspina, D., Manchia, M., Mayoral, F., Mcelroy, S. L., Mcinnis, M. G., Mcintosh, A. M., Medeiros, H., Melle, I., Milanova, V., Mitchell, P. B., Monteleone, P., Monteleone, A. M., Nothen, M. M., Novak, T., Nurnberger, J. I., O'Brien, N., O'Connell, K. S., O'Donovan, C., O'Donovan, M. C., Opel, N., Ortiz, A., Owen, M. J., Palsson, E., Pato, C., Pato, M. T., Pawlak, J., Pfarr, J. -K., Pisanu, C., Potash, J. B., Rapaport, M. H., Reich-Erkelenz, D., Reif, A., Reininghaus, E., Repple, J., Richard-Lepouriel, H., Rietschel, M., Ringwald, K., Roberts, G., Rouleau, G., Schaupp, S., Scheftner, W. A., Schmitt, S., Schofield, P. R., Schubert, K. O., Schulte, E. C., Schweizer, B., Senner, F., Severino, G., Sharp, S., Slaney, C., Smeland, O. B., Sobell, J. L., Squassina, A., Stopkova, P., Strauss, J., Tortorella, A., Turecki, G., Twarowska-Hauser, J., Veldic, M., Vieta, E., Vincent, J. B., Xu, W., Zai, C. C., Zandi, P. P., Di Florio, A., Smoller, J. W., Biernacka, J. M., Mcmahon, F. J., Alda, M., Muller-Myhsok, B., Koutsouleris, N., Falkai, P., Freimer, N. B., Andlauer, T. F. M., Schulze, T. G., and Ophoff, R. A.
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Paper ,Multifactorial Inheritance ,medicine.medical_specialty ,Autism Spectrum Disorder ,Bipolar disorder ,MESH: Age of Onset ,[SDV.MHEP.PSM] Life Sciences [q-bio]/Human health and pathology/Psychiatrics and mental health ,Medizin ,GWAS ,age at onset ,polarity at onset ,polygenic score ,MESH: Depressive Disorder, Major ,BF ,Genome-wide association study ,Disease ,Psykiatri ,SDG 3 - Good Health and Well-being ,ddc:150 ,Polarity at onset ,Internal medicine ,MESH: Bipolar Disorder ,Polygenic score ,medicine ,Humans ,Academic Psychiatry ,Age of Onset ,Genetic association ,Psychiatry ,MESH: Autism Spectrum Disorder ,Depressive Disorder, Major ,MESH: Humans ,business.industry ,Age at onset ,Heritability ,medicine.disease ,Genetic architecture ,ddc ,Psychiatry and Mental health ,Schizophrenia ,Autism spectrum disorder ,[SDV.MHEP.PSM]Life Sciences [q-bio]/Human health and pathology/Psychiatrics and mental health ,MESH: Genome-Wide Association Study ,RC0321 ,MESH: Multifactorial Inheritance ,business ,Genome-Wide Association Study - Abstract
BackgroundStudying phenotypic and genetic characteristics of age at onset (AAO) and polarity at onset (PAO) in bipolar disorder can provide new insights into disease pathology and facilitate the development of screening tools.AimsTo examine the genetic architecture of AAO and PAO and their association with bipolar disorder disease characteristics.MethodGenome-wide association studies (GWASs) and polygenic score (PGS) analyses of AAO (n = 12 977) and PAO (n = 6773) were conducted in patients with bipolar disorder from 34 cohorts and a replication sample (n = 2237). The association of onset with disease characteristics was investigated in two of these cohorts.ResultsEarlier AAO was associated with a higher probability of psychotic symptoms, suicidality, lower educational attainment, not living together and fewer episodes. Depressive onset correlated with suicidality and manic onset correlated with delusions and manic episodes. Systematic differences in AAO between cohorts and continents of origin were observed. This was also reflected in single-nucleotide variant-based heritability estimates, with higher heritabilities for stricter onset definitions. Increased PGS for autism spectrum disorder (β = −0.34 years, s.e. = 0.08), major depression (β = −0.34 years, s.e. = 0.08), schizophrenia (β = −0.39 years, s.e. = 0.08), and educational attainment (β = −0.31 years, s.e. = 0.08) were associated with an earlier AAO. The AAO GWAS identified one significant locus, but this finding did not replicate. Neither GWAS nor PGS analyses yielded significant associations with PAO.ConclusionsAAO and PAO are associated with indicators of bipolar disorder severity. Individuals with an earlier onset show an increased polygenic liability for a broad spectrum of psychiatric traits. Systematic differences in AAO across cohorts, continents and phenotype definitions introduce significant heterogeneity, affecting analyses.
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- 2021
40. Virtual Histology of Cortical Thickness and Shared Neurobiology in 6 Psychiatric Disorders
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Committee, Writing, Disorder, Autism Spectrum, French, Leon, Grevet, Eugenio H, Groenewold, Nynke A, Grotegerd, Dominik, Gruber, Oliver, Gruner, Patricia, Guerrero-Pedraza, Amalia, Gur, Raquel E, Gur, Ruben C, Haar, Shlomi, Haarman, Bartholomeus C M, Thomopoulos, Sophia I, Haavik, Jan, Hahn, Tim, Hajek, Tomas, Harrison, Benjamin J, Harrison, Neil A, Hartman, Catharina A, Whalley, Heather C, Heslenfeld, Dirk J, Hibar, Derrek P, Hilland, Eva, Pozzi, Elena, Hirano, Yoshiyuki, Ho, Tiffany C, Hoekstra, Pieter J, Hoekstra, Liesbeth, Hohmann, Sarah, Hong, L. E., Höschl, Cyril, Høvik, Marie F, Howells, Fleur M, Nenadic, Igor, Abe, Yoshinari, Jalbrzikowski, Maria, James, Anthony C, Janssen, Joost, Jaspers-Fayer, Fern, Xu, Jian, Jonassen, Rune, Karkashadze, Georgii, King, Joseph A, Kircher, Tilo, Kirschner, Matthias, Abé, Christoph, Koch, Kathrin, Kochunov, Peter, Kohls, Gregor, Konrad, Kerstin, Krämer, Bernd, Krug, Axel, Kuntsi, Jonna, Kwon, Jun Soo, Landén, Mikael, Landrø, Nils I, Anticevic, Alan, Lazaro, Luisa, Lebedeva, Irina S, Leehr, Elisabeth J, Lera-Miguel, Sara, Lesch, Klaus-Peter, Lochner, Christine, Louza, Mario R, Luna, Beatriz, Lundervold, Astri J, MacMaster, Frank P, Alda, Martin, Maglanoc, Luigi A, Malpas, Charles B, Portella, Maria J, Marsh, Rachel, Martyn, Fiona M, Mataix-Cols, David, Mathalon, Daniel H, McCarthy, Hazel, McDonald, Colm, McPhilemy, Genevieve, Aleman, Andre, Meinert, Susanne, Menchón, José M, Minuzzi, Luciano, Mitchell, Philip B, Moreno, Carmen, Morgado, Pedro, Muratori, Filippo, Murphy, Clodagh M, Murphy, Declan, Mwangi, Benson, Alloza, Clara, Nabulsi, Leila, Nakagawa, Akiko, Nakamae, Takashi, Namazova, Leyla, Narayanaswamy, Janardhanan, Jahanshad, Neda, Nguyen, Danai D, Nicolau, Rosa, O'Gorman Tuura, Ruth L, O'Hearn, Kirsten, Alonso-Lana, Silvia, Oosterlaan, Jaap, Opel, Nils, Ophoff, Roel A, Oranje, Bob, García de la Foz, Victor Ortiz, Overs, Bronwyn J, Paloyelis, Yannis, Pantelis, Christos, Parellada, Mara, Pauli, Paul, Disorder, Bipolar, Ameis, Stephanie H, Picó-Pérez, Maria, Picon, Felipe A, Piras, Fabrizio, Piras, Federica, Plessen, Kerstin J, Pomarol-Clotet, Edith, Preda, Adrian, Puig, Olga, Quidé, Yann, Radua, Joaquim, Anagnostou, Evdokia, Ramos-Quiroga, J Antoni, Rasser, Paul E, Rauer, Lisa, Reddy, Janardhan, Redlich, Ronny, Reif, Andreas, Reneman, Liesbeth, Repple, Jonathan, Retico, Alessandra, Richarte, Vanesa, McIntosh, Andrew A, Richter, Anja, Rosa, Pedro G P, Rubia, Katya K, Hashimoto, Ryota, Sacchet, Matthew D, Salvador, Raymond, Santonja, Javier, Sarink, Kelvin, Sarró, Salvador, Satterthwaite, Theodore D, Arango, Celso, Sawa, Akira, Schall, Ulrich, Schofield, Peter R, Schrantee, Anouk, Seitz, Jochen, Serpa, Mauricio H, Setién-Suero, Esther, Shaw, Philip, Shook, Devon, Silk, Tim J, Arnold, Paul D, Sim, Kang, Simon, Schmitt, Simpson, Helen Blair, Singh, Aditya, Skoch, Antonin, Skokauskas, Norbert, Soares, Jair C, Soreni, Noam, Soriano-Mas, Carles, Spalletta, Gianfranco, Asherson, Philip, Spaniel, Filip, Lawrie, Stephen M, Stern, Emily R, Stewart, S Evelyn, Takayanagi, Yoichiro, Temmingh, Henk S, Tolin, David F, Tomecek, David, Tordesillas-Gutiérrez, Diana, Tosetti, Michela, Assogna, Francesca, Uhlmann, Anne, van Amelsvoort, Therese, van der Wee, Nic J A, van der Werff, Steven J A, van Haren, Neeltje E M, van Wingen, Guido A, Vance, Alasdair, Vázquez-Bourgon, Javier, Vecchio, Daniela, Venkatasubramanian, Ganesan, Auzias, Guillaume, Vieta, Eduard, Vilarroya, Oscar, Vives-Gilabert, Yolanda, Voineskos, Aristotle N, Völzke, Henry, von Polier, Georg G, Walton, Esther, Weickert, Thomas W, Weickert, Cynthia Shannon, Weideman, Andrea S, Ayesa-Arriola, Rosa, Wittfeld, Katharina, Wolf, Daniel H, Wu, Mon-Ju, Yang, T. T., Yang, Sikun, Yoncheva, Yuliya, Yun, Je-Yeon, Cheng, Yuqi, Zanetti, Marcus V, Ziegler, Georg C, Bakker, Geor, Franke, Barbara, Hoogman, Martine, Buitelaar, Jan K, van Rooij, Daan, Andreassen, Ole A, Ching, Christopher R K, Veltman, Dick J, Schmaal, Lianne, Stein, Dan J, van den Heuvel, Odile A, Disorder, Major Depressive, Banaj, Nerisa, Turner, Jessica A, van Erp, Theo G M, Pausova, Zdenka, Thompson, Paul M, Paus, Tomáš, Attention-Deficit/Hyperactivity Disorder, Banaschewski, Tobias, Bandeira, Cibele E, Baranov, Alexandr, Bargalló, Núria, Bau, Claiton H D, Baumeister, Sarah, Baune, Bernhard T, Bellgrove, Mark A, Benedetti, Francesco, Disorder, Obsessive-Compulsive, Bertolino, Alessandro, Boedhoe, Premika S W, Boks, Marco, Bollettini, Irene, Del Mar Bonnin, Caterina, Borgers, Tiana, Borgwardt, Stefan, Brandeis, Daniel, Brennan, Brian P, Bruggemann, Jason M, Groups, Schizophrenia ENIGMA Working, Bülow, Robin, Busatto, Geraldo F, Calderoni, Sara, Calhoun, Vince D, Calvo, Rosa, Canales-Rodríguez, Erick J, Cannon, Dara M, Carr, Vaughan J, Cascella, Nicola, Cercignani, Mara, Patel, Yash, Chaim-Avancini, Tiffany M, Christakou, Anastasia, Coghill, David, Conzelmann, Annette, Crespo-Facorro, Benedicto, Cubillo, Ana I, Cullen, Kathryn R, Cupertino, Renata B, Daly, Eileen, Dannlowski, Udo, Parker, Nadine, Davey, Christopher G, Denys, Damiaan, Deruelle, Christine, Di Giorgio, Annabella, Dickie, Erin W, Dima, Danai, Dohm, Katharina, Ehrlich, Stefan, Ely, Benjamin A, Erwin-Grabner, Tracy, Shin, Jean, Ethofer, Thomas, Fair, Damien A, Fallgatter, Andreas, Faraone, Stephen V, Fatjó-Vilas, Mar, Fedor, Jennifer M, Fitzgerald, Kate D, Ford, Judith M, Frodl, Thomas, Fu, Cynthia H Y, Howard, Derek, Fullerton, Janice M, Gabel, Matt C, Glahn, David C, Roberts, Gloria, Gogberashvili, Tinatin, Goikolea, Jose M, Gotlib, Ian H, Goya-Maldonado, Roberto, Grabe, Hans, Green, Melissa J, Patel, Y., Parker, N., Shin, J., Howard, D., French, L., Thomopoulos, S. I., Pozzi, E., Abe, Y., Abe, C., Anticevic, A., Alda, M., Aleman, A., Alloza, C., Alonso-Lana, S., Ameis, S. H., Anagnostou, E., Mcintosh, A. A., Arango, C., Arnold, P. D., Asherson, P., Assogna, F., Auzias, G., Ayesa-Arriola, R., Bakker, G., Banaj, N., Banaschewski, T., Bandeira, C. E., Baranov, A., Bargallo, N., Bau, C. H. D., Baumeister, S., Baune, B. T., Bellgrove, M. A., Benedetti, F., Bertolino, A., Boedhoe, P. S. W., Boks, M., Bollettini, I., Del Mar Bonnin, C., Borgers, T., Borgwardt, S., Brandeis, D., Brennan, B. P., Bruggemann, J. M., Bulow, R., Busatto, G. F., Calderoni, S., Calhoun, V. D., Calvo, R., Canales-Rodriguez, E. J., Cannon, D. M., Carr, V. J., Cascella, N., Cercignani, M., Chaim-Avancini, T. M., Christakou, A., Coghill, D., Conzelmann, A., Crespo-Facorro, B., Cubillo, A. I., Cullen, K. R., Cupertino, R. B., Daly, E., Dannlowski, U., Davey, C. G., Denys, D., Deruelle, C., Di Giorgio, A., Dickie, E. W., Dima, D., Dohm, K., Ehrlich, S., Ely, B. A., Erwin-Grabner, T., Ethofer, T., Fair, D. A., Fallgatter, A. J., Faraone, S. V., Fatjo-Vilas, M., Fedor, J. M., Fitzgerald, K. D., Ford, J. M., Frodl, T., Fu, C. H. Y., Fullerton, J. M., Gabel, M. C., Glahn, D. C., Roberts, G., Gogberashvili, T., Goikolea, J. M., Gotlib, I. H., Goya-Maldonado, R., Grabe, H. J., Green, M. J., Grevet, E. H., Groenewold, N. A., Grotegerd, D., Gruber, O., Gruner, P., Guerrero-Pedraza, A., Gur, R. E., Gur, R. C., Haar, S., Haarman, B. C. M., Haavik, J., Hahn, T., Hajek, T., Harrison, B. J., Harrison, N. A., Hartman, C. A., Whalley, H. C., Heslenfeld, D. J., Hibar, D. P., Hilland, E., Hirano, Y., Ho, T. C., Hoekstra, P. J., Hoekstra, L., Hohmann, S., Hong, L. E., Hoschl, C., Hovik, M. F., Howells, F. M., Nenadic, I., Jalbrzikowski, M., James, A. C., Janssen, J., Jaspers-Fayer, F., Xu, J., Jonassen, R., Karkashadze, G., King, J. A., Kircher, T., Kirschner, M., Koch, K., Kochunov, P., Kohls, G., Konrad, K., Kramer, B., Krug, A., Kuntsi, J., Kwon, J. S., Landen, M., Landro, N. I., Lazaro, L., Lebedeva, I. S., Leehr, E. J., Lera-Miguel, S., Lesch, K. -P., Lochner, C., Louza, M. R., Luna, B., Lundervold, A. J., Macmaster, F. P., Maglanoc, L. A., Malpas, C. B., Portella, M. J., Marsh, R., Martyn, F. M., Mataix-Cols, D., Mathalon, D. H., Mccarthy, H., Mcdonald, C., Mcphilemy, G., Meinert, S., Menchon, J. M., Minuzzi, L., Mitchell, P. B., Moreno, C., Morgado, P., Muratori, F., Murphy, C. M., Murphy, D., Mwangi, B., Nabulsi, L., Nakagawa, A., Nakamae, T., Namazova, L., Narayanaswamy, J., Jahanshad, N., Nguyen, D. D., Nicolau, R., O'Gorman Tuura, R. L., O'Hearn, K., Oosterlaan, J., Opel, N., Ophoff, R. A., Oranje, B., Garcia De La Foz, V. O., Overs, B. J., Paloyelis, Y., Pantelis, C., Parellada, M., Pauli, P., Pico-Perez, M., Picon, F. A., Piras, F., Plessen, K. J., Pomarol-Clotet, E., Preda, A., Puig, O., Quide, Y., Radua, J., Ramos-Quiroga, J. A., Rasser, P. E., Rauer, L., Reddy, J., Redlich, R., Reif, A., Reneman, L., Repple, J., Retico, A., Richarte, V., Richter, A., Rosa, P. G. P., Rubia, K. K., Hashimoto, R., Sacchet, M. D., Salvador, R., Santonja, J., Sarink, K., Sarro, S., Satterthwaite, T. D., Sawa, A., Schall, U., Schofield, P. R., Schrantee, A., Seitz, J., Serpa, M. H., Setien-Suero, E., Shaw, P., Shook, D., Silk, T. J., Sim, K., Simon, S., Simpson, H. B., Singh, A., Skoch, A., Skokauskas, N., Soares, J. C., Soreni, N., Soriano-Mas, C., Spalletta, G., Spaniel, F., Lawrie, S. M., Stern, E. R., Stewart, S. E., Takayanagi, Y., Temmingh, H. S., Tolin, D. F., Tomecek, D., Tordesillas-Gutierrez, D., Tosetti, M., Uhlmann, A., Van Amelsvoort, T., Van Der Wee, N. J. A., Van Der Werff, S. J. A., Van Haren, N. E. M., Van Wingen, G. A., Vance, A., Vazquez-Bourgon, J., Vecchio, D., Venkatasubramanian, G., Vieta, E., Vilarroya, O., Vives-Gilabert, Y., Voineskos, A. N., Volzke, H., Von Polier, G. G., Walton, E., Weickert, T. W., Weickert, C. S., Weideman, A. S., Wittfeld, K., Wolf, D. H., Wu, M. -J., Yang, T. T., Yang, K., Yoncheva, Y., Yun, J. -Y., Cheng, Y., Zanetti, M. V., Ziegler, G. C., Franke, B., Hoogman, M., Buitelaar, J. K., Van Rooij, D., Andreassen, O. A., Ching, C. R. K., Veltman, D. J., Schmaal, L., Stein, D. J., Van Den Heuvel, O. A., Turner, J. A., Van Erp, T. G. M., Pausova, Z., Thompson, P. M., Paus, T., Institut de Neurosciences de la Timone (INT), Aix Marseille Université (AMU)-Centre National de la Recherche Scientifique (CNRS), Pediatric surgery, Radiology and nuclear medicine, Anatomy and neurosciences, Psychiatry, Amsterdam Neuroscience - Brain Imaging, Amsterdam Neuroscience - Compulsivity, Impulsivity & Attention, Amsterdam Neuroscience - Mood, Anxiety, Psychosis, Stress & Sleep, Amsterdam Neuroscience - Neurodegeneration, Psychiatrie & Neuropsychologie, RS: MHeNs - R2 - Mental Health, MUMC+: MA Med Staf Spec Psychiatrie (9), Adult Psychiatry, ANS - Compulsivity, Impulsivity & Attention, General Paediatrics, ARD - Amsterdam Reproduction and Development, Radiology and Nuclear Medicine, APH - Personalized Medicine, ANS - Brain Imaging, ANS - Mood, Anxiety, Psychosis, Stress & Sleep, APH - Mental Health, University of Zurich, Clinical Cognitive Neuropsychiatry Research Program (CCNP), Clinical Neuropsychology, Interdisciplinary Centre Psychopathology and Emotion regulation (ICPE), Child and Adolescent Psychiatry / Psychology, IBBA, and Cognitive Psychology
- Subjects
Male ,Obsessive-Compulsive Disorder ,Bipolar Disorder ,Autism Spectrum Disorder ,Autism ,[SDV]Life Sciences [q-bio] ,Gene Expression ,cytology [Cerebral Cortex] ,Cohort Studies ,Fetal Development ,physiology [Gene Expression] ,2738 Psychiatry and Mental Health ,0302 clinical medicine ,diagnostic imaging [Cerebral Cortex] ,SCHIZOPHRENIA ,BRAIN ,Child ,Obsessive-compulsive disorder (OCD) ,Original Investigation ,Aged, 80 and over ,Cerebral Cortex ,0303 health sciences ,pathology [Depressive Disorder, Major] ,Principal Component Analysis ,Adolescent psychiatry ,10058 Department of Child and Adolescent Psychiatry ,Middle Aged ,diagnostic imaging [Obsessive-Compulsive Disorder] ,REGIONS ,Magnetic Resonance Imaging ,3. Good health ,FALSE DISCOVERY RATE ,Psychiatry and Mental health ,Autism spectrum disorder ,Schizophrenia ,growth & development [Cerebral Cortex] ,Child, Preschool ,Major depressive disorder ,diagnostic imaging [Schizophrenia] ,Esquizofrènia ,Female ,Psiquiatria infantil ,Psiquiatria de l'adolescència ,diagnostic imaging [Autism Spectrum Disorder] ,Adult ,medicine.medical_specialty ,Adolescent ,Human Development ,610 Medicine & health ,diagnostic imaging [Bipolar Disorder] ,pathology [Autism Spectrum Disorder] ,diagnostic imaging [Depressive Disorder, Major] ,03 medical and health sciences ,Young Adult ,All institutes and research themes of the Radboud University Medical Center ,Neuroimaging ,SDG 3 - Good Health and Well-being ,CEREBRAL-CORTEX ,Child psychiatry ,medicine ,Attention deficit hyperactivity disorder ,Humans ,Bipolar disorder ,ddc:610 ,Psychiatry ,pathology [Schizophrenia] ,030304 developmental biology ,Aged ,Depressive Disorder, Major ,Neurodevelopmental disorders Donders Center for Medical Neuroscience [Radboudumc 7] ,business.industry ,DENDRITE ,Computational Biology ,Correction ,pathology [Attention Deficit Disorder with Hyperactivity] ,physiology [Fetal Development] ,medicine.disease ,PATHOLOGY ,pathology [Bipolar Disorder] ,pathology [Obsessive-Compulsive Disorder] ,10036 Medical Clinic ,Attention Deficit Disorder with Hyperactivity ,10054 Clinic for Psychiatry, Psychotherapy, and Psychosomatics ,Case-Control Studies ,DENSITY ,ORIGINS ,HIPPOCAMPUS ,diagnostic imaging [Attention Deficit Disorder with Hyperactivity] ,pathology [Cerebral Cortex] ,Autisme ,business ,Neuroscience ,030217 neurology & neurosurgery ,physiology [Human Development] - Abstract
[Importance] Large-scale neuroimaging studies have revealed group differences in cortical thickness across many psychiatric disorders. The underlying neurobiology behind these differences is not well understood., [Objective] To determine neurobiologic correlates of group differences in cortical thickness between cases and controls in 6 disorders: attention-deficit/hyperactivity disorder (ADHD), autism spectrum disorder (ASD), bipolar disorder (BD), major depressive disorder (MDD), obsessive-compulsive disorder (OCD), and schizophrenia., [Design, Setting, and Participants] Profiles of group differences in cortical thickness between cases and controls were generated using T1-weighted magnetic resonance images. Similarity between interregional profiles of cell-specific gene expression and those in the group differences in cortical thickness were investigated in each disorder. Next, principal component analysis was used to reveal a shared profile of group difference in thickness across the disorders. Analysis for gene coexpression, clustering, and enrichment for genes associated with these disorders were conducted. Data analysis was conducted between June and December 2019. The analysis included 145 cohorts across 6 psychiatric disorders drawn from the ENIGMA consortium. The numbers of cases and controls in each of the 6 disorders were as follows: ADHD: 1814 and 1602; ASD: 1748 and 1770; BD: 1547 and 3405; MDD: 2658 and 3572; OCD: 2266 and 2007; and schizophrenia: 2688 and 3244., [Main Outcomes and Measures] Interregional profiles of group difference in cortical thickness between cases and controls., [Results] A total of 12 721 cases and 15 600 controls, ranging from ages 2 to 89 years, were included in this study. Interregional profiles of group differences in cortical thickness for each of the 6 psychiatric disorders were associated with profiles of gene expression specific to pyramidal (CA1) cells, astrocytes (except for BD), and microglia (except for OCD); collectively, gene-expression profiles of the 3 cell types explain between 25% and 54% of variance in interregional profiles of group differences in cortical thickness. Principal component analysis revealed a shared profile of difference in cortical thickness across the 6 disorders (48% variance explained); interregional profile of this principal component 1 was associated with that of the pyramidal-cell gene expression (explaining 56% of interregional variation). Coexpression analyses of these genes revealed 2 clusters: (1) a prenatal cluster enriched with genes involved in neurodevelopmental (axon guidance) processes and (2) a postnatal cluster enriched with genes involved in synaptic activity and plasticity-related processes. These clusters were enriched with genes associated with all 6 psychiatric disorders., [Conclusions and Relevance] In this study, shared neurobiologic processes were associated with differences in cortical thickness across multiple psychiatric disorders. These processes implicate a common role of prenatal development and postnatal functioning of the cerebral cortex in these disorders.
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- 2021
41. 10Kin1day: A Bottom-Up Neuroimaging Initiative
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Martijn P. van den Heuvel, Lianne H. Scholtens, Hannelore K. van der Burgh, Federica Agosta, Clara Alloza, Celso Arango, Bonnie Auyeung, Simon Baron-Cohen, Silvia Basaia, Manon J. N. L. Benders, Frauke Beyer, Linda Booij, Kees P. J. Braun, Geraldo Busatto Filho, Wiepke Cahn, Dara M. Cannon, Tiffany M. Chaim-Avancini, Sandra S. M. Chan, Eric Y. H. Chen, Benedicto Crespo-Facorro, Eveline A. Crone, Udo Dannlowski, Sonja M. C. de Zwarte, Bruno Dietsche, Gary Donohoe, Stefan Du Plessis, Sarah Durston, Covadonga M. Díaz-Caneja, Ana M. Díaz-Zuluaga, Robin Emsley, Massimo Filippi, Thomas Frodl, Martin Gorges, Beata Graff, Dominik Grotegerd, Dariusz Gąsecki, Julie M. Hall, Laurena Holleran, Rosemary Holt, Helene J. Hopman, Andreas Jansen, Joost Janssen, Krzysztof Jodzio, Lutz Jäncke, Vasiliy G. Kaleda, Jan Kassubek, Shahrzad Kharabian Masouleh, Tilo Kircher, Martijn G. J. C. Koevoets, Vladimir S. Kostic, Axel Krug, Stephen M. Lawrie, Irina S. Lebedeva, Edwin H. M. Lee, Tristram A. Lett, Simon J. G. Lewis, Franziskus Liem, Michael V. Lombardo, Carlos Lopez-Jaramillo, Daniel S. Margulies, Sebastian Markett, Paulo Marques, Ignacio Martínez-Zalacaín, Colm McDonald, Andrew M. McIntosh, Genevieve McPhilemy, Susanne L. Meinert, José M. Menchón, Christian Montag, Pedro S. Moreira, Pedro Morgado, David O. Mothersill, Susan Mérillat, Hans-Peter Müller, Leila Nabulsi, Pablo Najt, Krzysztof Narkiewicz, Patrycja Naumczyk, Bob Oranje, Victor Ortiz-Garcia de la Foz, Jiska S. Peper, Julian A. Pineda, Paul E. Rasser, Ronny Redlich, Jonathan Repple, Martin Reuter, Pedro G. P. Rosa, Amber N. V. Ruigrok, Agnieszka Sabisz, Ulrich Schall, Soraya Seedat, Mauricio H. Serpa, Stavros Skouras, Carles Soriano-Mas, Nuno Sousa, Edyta Szurowska, Alexander S. Tomyshev, Diana Tordesillas-Gutierrez, Sofie L. Valk, Leonard H. van den Berg, Theo G. M. van Erp, Neeltje E. M. van Haren, Judith M. C. van Leeuwen, Arno Villringer, Christiaan H. Vinkers, Christian Vollmar, Lea Waller, Henrik Walter, Heather C. Whalley, Marta Witkowska, A. Veronica Witte, Marcus V. Zanetti, Rui Zhang, Siemon C. de Lange, University Medical Center [Utrecht], Center for Nanotechnology Innovation, @NEST (CNI), National Enterprise for nanoScience and nanoTechnology (NEST), Scuola Normale Superiore di Pisa (SNS)-Scuola Universitaria Superiore Sant'Anna [Pisa] (SSSUP)-Istituto Italiano di Tecnologia (IIT)-Consiglio Nazionale delle Ricerche [Pisa] (CNR PISA)-Scuola Normale Superiore di Pisa (SNS)-Scuola Universitaria Superiore Sant'Anna [Pisa] (SSSUP)-Istituto Italiano di Tecnologia (IIT)-Consiglio Nazionale delle Ricerche [Pisa] (CNR PISA), Psychiatry Department, Adolescent Unit, Hospital General Universitario Gregorio Marañón, Centro de Investigación Biomédica en Red de Salud Mental, CIBERSAM, University of Edinburgh, University of Cambridge [UK] (CAM), Laboratoire Jacques-Louis Lions (LJLL), Université Pierre et Marie Curie - Paris 6 (UPMC)-Université Paris Diderot - Paris 7 (UPD7)-Centre National de la Recherche Scientifique (CNRS), Department of Psychiatry, Icahn School of Medicine at Mount Sinai [New York] (MSSM), National University of Ireland [Galway] (NUI Galway), Centro de Investigación Biomédica en Red Salud Mental [Madrid] (CIBER-SAM), Trinity College Dublin-St. James's Hospital, University Hospital San Raffaele, Psychiatry and Psychotherapy, Universität Zürich [Zürich] = University of Zurich (UZH), Department of Neurology [Ulm], Universität Ulm - Ulm University [Ulm, Allemagne], Max-Planck-Institut für Mathematik in den Naturwissenschaften (MPI-MiS), Max-Planck-Gesellschaft, Dept. of Psychiatry, University of Marburg, Department of Neurology, Max Planck Institute for Human Cognitive and Brain Sciences [Leipzig] (IMPNSC), Department of Psychology, Laboratory of Neurogenetics, sans affiliation, Division of Psychiatry, University of Edinburgh-Royal Edinburgh Hospital, Centro de Quimica Estrutural (CQE), Instituto Superior Técnico, Universidade Técnica de Lisboa (IST), Humboldt-Universität zu Berlin, Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital [Boston]-Harvard Medical School [Boston] (HMS), Instituto Superior Técnico, Universidade Técnica de Lisboa, Schizophrenia Research Institute [Sydney], Magnetic Resonance Imaging, Universidade do Minho, Metacohorts Consortium, Heinrich Heine Universität Düsseldorf = Heinrich Heine University [Düsseldorf], Department of Psychiatry and Human Behavior [Irvine], University of California [Irvine] (UCI), University of California-University of California, Charité - UniversitätsMedizin = Charité - University Hospital [Berlin], Berlin School of Mind and Brain [Berlin], Department of Chemistry, Centre for Molecular Simulation, University of Calgary, Child and Adolescent Psychiatry / Psychology, Utrecht University, Wellcome Trust, Medical Research Council (UK), Canadian Institutes of Health Research, European Research Council, European Commission, German Research Foundation, Science Foundation Ireland, Russian Foundation for Basic Research, Fundação para a Ciência e a Tecnologia (Portugal), Instituto de Salud Carlos III, National Institutes of Health (US), Van Den Heuvel, M. P., Scholtens, L. H., Van Der Burgh, H. K., Agosta, F., Alloza, C., Arango, C., Auyeung, B., Baron-Cohen, S., Basaia, S., Benders, M. J. N. L., Beyer, F., Booij, L., Braun, K. P. J., Filho, G. B., Cahn, W., Cannon, D. M., Chaim-Avancini, T. M., Chan, S. S. M., Chen, E. Y. H., Crespo-Facorro, B., Crone, E. A., Dannlowski, U., De Zwarte, S. M. C., Dietsche, B., Donohoe, G., Plessis, S. D., Durston, S., Diaz-Caneja, C. M., Diaz-Zuluaga, A. M., Emsley, R., Filippi, M., Frodl, T., Gorges, M., Graff, B., Grotegerd, D., Gasecki, D., Hall, J. M., Holleran, L., Holt, R., Hopman, H. J., Jansen, A., Janssen, J., Jodzio, K., Jancke, L., Kaleda, V. G., Kassubek, J., Masouleh, S. K., Kircher, T., Koevoets, M. G. J. C., Kostic, V. S., Krug, A., Lawrie, S. M., Lebedeva, I. S., Lee, E. H. M., Lett, T. A., Lewis, S. J. G., Liem, F., Lombardo, M. V., Lopez-Jaramillo, C., Margulies, D. S., Markett, S., Marques, P., Martinez-Zalacain, I., Mcdonald, C., Mcintosh, A. M., Mcphilemy, G., Meinert, S. L., Menchon, J. M., Montag, C., Moreira, P. S., Morgado, P., Mothersill, D. O., Merillat, S., Muller, H. -P., Nabulsi, L., Najt, P., Narkiewicz, K., Naumczyk, P., Oranje, B., De la Foz, V. O. -G., Peper, J. S., Pineda, J. A., Rasser, P. E., Redlich, R., Repple, J., Reuter, M., Rosa, P. G. P., Ruigrok, A. N. V., Sabisz, A., Schall, U., Seedat, S., Serpa, M. H., Skouras, S., Soriano-Mas, C., Sousa, N., Szurowska, E., Tomyshev, A. S., Tordesillas-Gutierrez, D., Valk, S. L., Van Den Berg, L. H., Van Erp, T. G. M., Van Haren, N. E. M., Van Leeuwen, J. M. C., Villringer, A., Vinkers, C. H., Vollmar, C., Waller, L., Walter, H., Whalley, H. C., Witkowska, M., Witte, A. V., Zanetti, M. V., Zhang, R., De Lange, S. C., Baron-Cohen, Simon [0000-0001-9217-2544], Ruigrok, Amber [0000-0001-7711-8056], and Apollo - University of Cambridge Repository
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Computer science ,diffusion weighted MRI ,Stress-related disorders Donders Center for Medical Neuroscience [Radboudumc 13] ,Network ,Brain mapping ,lcsh:RC346-429 ,HUMAN CONNECTOME ,Diffusion ,0302 clinical medicine ,Medicine and Health Sciences ,yttria mould coating ,Cervell ,Anàlisi ,ComputingMilieux_MISCELLANEOUS ,Brain network ,0303 health sciences ,Event (computing) ,Brain ,Human Connectome ,Top-down and bottom-up design ,3. Good health ,Neurology ,investment casting ,Perspective ,Connectome ,Difusió ,PROJECT ,MRI ,Connectome analysis ,AZ91D-1 wt% CaO ,brain ,Clinical Neurology ,03 medical and health sciences ,SDG 17 - Partnerships for the Goals ,Neuroimaging ,Journal Article ,ddc:610 ,Diffusion weighted MRI ,lcsh:Neurology. Diseases of the nervous system ,030304 developmental biology ,Connectome analysi ,Science & Technology ,Assaying ,[SCCO.NEUR]Cognitive science/Neuroscience ,mould–metal interaction ,Biology and Life Sciences ,Data science ,Clinical neurology ,network ,Neurology (clinical) ,HUMAN CEREBRAL-CORTEX ,030217 neurology & neurosurgery - Abstract
We organized 10Kin1day, a pop-up scientific event with the goal to bring together neuroimaging groups from around the world to jointly analyze 10,000+ existing MRI connectivity datasets during a 3-day workshop. In this report, we describe the motivation and principles of 10Kin1day, together with a public release of 8,000+ MRI connectome maps of the human brain. Ongoing grand-scale projects like the European Human Brain Project (1), the US Brain Initiative (2), the Human Connectome Project (3), the Chinese Brainnetome (4) and exciting world-wide neuroimaging collaborations such as ENIGMA (5) herald the new era of big neuroscience. In conjunction with these major undertakings, there is an emerging trend for bottom-up initiatives, starting with small-scale projects built upon existing collaborations and infrastructures. As described by Mainen et al. (6), these initiatives are centralized around self-organized groups of researchers working on the same challenges and sharing interests and specialized expertise. These projects could scale and open up to a larger audience and other disciplines over time, eventually lining up and merging their findings with other programs to make the bigger picture., The 10Kin1day workshop was generously sponsored by the Neuroscience and Cognition program Utrecht (NCU) of the Utrecht University (https://www.uu.nl/en/research/ neuroscience-and-cognition-utrecht), the ENIGMA consortium (http://enigma.ini.usc.edu), and personal grants: MvdH: NWOVIDI (452-16-015), MQ Fellowship; SB-C: the Wellcome Trust; Medical Research Council UK; NIHR CLAHRC for Cambridgeshire and Peterborough Foundation National Health Services Trust; Autism Research Trust; LB: New Investigator Award, Canadian Institutes of Health Research; Dara Cannon: Health Research Board (HRB), Ireland (grant code HRA-POR2013-324); SC: Research Grant Council (Hong Kong)-GRF 14101714; Eveline Crone: ERC-2010-StG-263234; UD: DFG, grant FOR2107 DA1151/5-1, DA1151/5-2, SFB-TRR58, Project C09, IZKF, grant Dan3/012/17; SD: MRC-RFA-UFSP-012013 (Shared Roots MRC Flagship grant); TF: Marie Curie Programme, International Training Programme, r’Birth; DG: National Science Centre (UMO-2011/02/A/NZ5/00329); BG: National Science Centre (UMO-2011/02/A/NZ5/00329); JH: Western Sydney University Postgraduate Research Award; LH: Science Foundation Ireland, ERC; HH: Research Grant Council (Hong Kong)-GRF 14101714; LJ: Velux Stiftung, grant 369 & UZH University Research Priority Program Dynamics of Healthy Aging; AJ: DFG, grant FOR2107 JA 1890/7-1; KJ: National Science Centre (UMO-2013/09/N/HS6/02634); VK: The Russian Foundation for Basic Research (grant code 15-06-05758A); TK: DFG, grant FOR2107 KI 588/14-1, DFG, grant FOR2107 KI 588/15-1; AK: DFG, grant FOR2107 KO 4291/4-1, DFG, grant FOR2107 KO 4291/3-1; IL: The Russian Foundation for Basic Research (grant code 15-06-05758A); EL: Health and Medical Research Fund - 11121271; SiL: NHMRC-ARC Dementia Fellowship 1110414, NHMRC Dementia Research Team Grant 1095127, NHMRC Project Grant 1062319; CL-J: 537-2011, 2014849; AM: Wellcome Trust Strategic Award (104036/Z/14/Z), MRC Grant MC_PC_17209; CM: Heisenberg-Grant, German Research Foundation, DFG MO 2363/3-2; PM: Foundation for Science and Technology, Portugal - PDE/BDE/113601/2015; KN: National Science Centre (UMO-2011/02/A/NZ5/00329); PN: National Science Centre (UMO-2013/09/N/HS6/02634); JiP: NWO-Veni 451-10-007; PaR: PER and US would like to thank the Schizophrenia Research Institute and the Chief-Investigators of the Australian Schizophrenia Research Bank V. Carr, U. Schall, R. Scott, A. Jablensky, B. Mowry, P. Michie, S. Catts, F. Henskens, and C. Pantelis; AS: National Science Centre (UMO-2011/02/A/NZ5/00329); SS: European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No 707730; CS-M: Carlos III Health Institute (PI13/01958), Carlos III Health Institute (PI16/00889), Carlos III Health Institute (CPII16/00048); ES: National Science Centre (UMO-2011/02/A/NZ5/00329); AT: The Russian Foundation for Basic Research (grant code 1506-05758A); DT-G: PI14/00918, PI14/00639; Leonardo Tozzi: Marie Curie Programme, International Training Programme, r’Birth; SV: IMPRS Neurocom stipend; TvE: National Center for Research Resources at the National Institutes of Health (grant numbers: NIH 1 U24 RR021992 (Function Biomedical Informatics Research Network), NIH 1 U24 RR025736-01 (Biomedical Informatics Research Network Coordinating Center; http://www.birncommunity.org) and the NIH Big Data to Knowledge (BD2K) award (U54 EB020403 to Paul Thompson). NvH: NWO-VIDI (452-11-014); MW: National Science Centre (UMO-2011/02/A/NZ5/00329); Veronica O’Keane: Meath Foundation; AV and AW: CRC Obesity Mechanism (SFB 1052) Project A1 funded by DFG. The funding sources had no role in the study design, data collection, analysis, and interpretation of the data.
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- 2019
42. A meta-analysis of genome-wide studies of resilience in the German population.
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Herrera-Rivero M, Garvert L, Horn K, Löbner M, Weitzel EC, Stoll M, Lichtner P, Teismann H, Teumer A, Van der Auwera S, Völzke H, Völker U, Andlauer TFM, Meinert S, Heilmann-Heimbach S, Forstner AJ, Streit F, Witt SH, Kircher T, Dannlowski U, Scholz M, Riedel-Heller SG, Grabe HJ, Baune BT, and Berger K
- Abstract
Resilience is the capacity to adapt to stressful life events. As such, this trait is associated with physical and mental functions and conditions. Here, we aimed to identify the genetic factors contributing to shape resilience. We performed variant- and gene-based meta-analyses of genome-wide association studies from six German cohorts (N = 15822) using the 11-item version of the Resilience Scale (RS-11) as outcome measure. Variant- and gene-level results were combined to explore the biological context using network analysis. In addition, we conducted tests of correlation between RS-11 and the polygenic scores (PGSs) for 12 personality and mental health traits in one of these cohorts (PROCAM-2, N = 3879). The variant-based analysis found no signals associated with resilience at the genome-wide level (p < 5 × 10
-8 ), but suggested five genomic loci (p < 1 × 10-5 ). The gene-based analysis identified three genes (ROBO1, CIB3 and LYPD4) associated with resilience at genome-wide level (p < 2.48 × 10-6 ) and 32 potential candidates (p < 1 × 10-4 ). Network analysis revealed enrichment of biological pathways related to neuronal proliferation and differentiation, synaptic organization, immune responses and vascular homeostasis. We also found significant correlations (FDR < 0.05) between RS-11 and the PGSs for neuroticism and general happiness. Overall, our observations suggest low heritability of resilience. Large, international efforts will be required to uncover the genetic factors that contribute to shape trait resilience. Nevertheless, as the largest investigation of the genetics of resilience in general population to date, our study already offers valuable insights into the biology potentially underlying resilience and resilience's relationship with other personality traits and mental health., (© 2024. The Author(s).)- Published
- 2024
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43. ENIGMA-Chronic Pain: a worldwide initiative to identify brain correlates of chronic pain.
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Quidé Y, Jahanshad N, Andoh J, Antoniou G, Apkarian AV, Ashar YK, Badran BW, Baird CL, Baxter L, Bell TR, Blanco-Hinojo L, Borckardt J, Cheung CL, Ciampi de Andrade D, Couto BA, Cox SR, Cruz-Almeida Y, Dannlowski U, De Martino E, de Tommaso M, Deus J, Domin M, Egorova-Brumley N, Elliott J, Fanton S, Fauchon C, Flor H, Franz CE, Gatt JM, Gerdhem P, Gilman JM, Gollub RL, Govind V, Graven-Nielsen T, Håkansson G, Hales T, Haswell C, Heukamp NJ, Hu L, Huang L, Hussain A, Jensen K, Kircher T, Kremen WS, Leehr EJ, Lindquist M, Loggia ML, Lotze M, Martucci KT, Meeker TJ, Meinert S, Millard SK, Morey RA, Murillo C, Nees F, Nenadic I, Park HRP, Peng X, Ploner M, Pujol J, Robayo LE, Salan T, Seminowicz DA, Serian A, Slater R, Stein F, Stevens J, Strauss S, Sun D, Vachon-Presseau E, Valdes-Hernandez PA, Vanneste S, Vernon M, Verriotis M, Wager TD, Widerstrom-Noga E, Woodbury A, Zeidan F, Bhatt RR, Ching CRK, Haddad E, Thomopoulos SI, Thompson PM, and Gustin SM
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- 2024
- Full Text
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44. Neurostructural subgroup in 4291 individuals with schizophrenia identified using the subtype and stage inference algorithm.
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Jiang Y, Luo C, Wang J, Palaniyappan L, Chang X, Xiang S, Zhang J, Duan M, Huang H, Gaser C, Nemoto K, Miura K, Hashimoto R, Westlye LT, Richard G, Fernandez-Cabello S, Parker N, Andreassen OA, Kircher T, Nenadić I, Stein F, Thomas-Odenthal F, Teutenberg L, Usemann P, Dannlowski U, Hahn T, Grotegerd D, Meinert S, Lencer R, Tang Y, Zhang T, Li C, Yue W, Zhang Y, Yu X, Zhou E, Lin CP, Tsai SJ, Rodrigue AL, Glahn D, Pearlson G, Blangero J, Karuk A, Pomarol-Clotet E, Salvador R, Fuentes-Claramonte P, Garcia-León MÁ, Spalletta G, Piras F, Vecchio D, Banaj N, Cheng J, Liu Z, Yang J, Gonul AS, Uslu O, Burhanoglu BB, Uyar Demir A, Rootes-Murdy K, Calhoun VD, Sim K, Green M, Quidé Y, Chung YC, Kim WS, Sponheim SR, Demro C, Ramsay IS, Iasevoli F, de Bartolomeis A, Barone A, Ciccarelli M, Brunetti A, Cocozza S, Pontillo G, Tranfa M, Park MTM, Kirschner M, Georgiadis F, Kaiser S, Van Rheenen TE, Rossell SL, Hughes M, Woods W, Carruthers SP, Sumner P, Ringin E, Spaniel F, Skoch A, Tomecek D, Homan P, Homan S, Omlor W, Cecere G, Nguyen DD, Preda A, Thomopoulos SI, Jahanshad N, Cui LB, Yao D, Thompson PM, Turner JA, van Erp TGM, Cheng W, and Feng J
- Subjects
- Humans, Male, Female, Adult, Machine Learning, Middle Aged, Brain diagnostic imaging, Brain pathology, Cross-Sectional Studies, Europe, Neuroimaging, Reproducibility of Results, North America, Hippocampus diagnostic imaging, Hippocampus pathology, Schizophrenia diagnostic imaging, Schizophrenia pathology, Algorithms, Magnetic Resonance Imaging, Gray Matter diagnostic imaging, Gray Matter pathology
- Abstract
Machine learning can be used to define subtypes of psychiatric conditions based on shared biological foundations of mental disorders. Here we analyzed cross-sectional brain images from 4,222 individuals with schizophrenia and 7038 healthy subjects pooled across 41 international cohorts from the ENIGMA, non-ENIGMA cohorts and public datasets. Using the Subtype and Stage Inference (SuStaIn) algorithm, we identify two distinct neurostructural subgroups by mapping the spatial and temporal 'trajectory' of gray matter change in schizophrenia. Subgroup 1 was characterized by an early cortical-predominant loss with enlarged striatum, whereas subgroup 2 displayed an early subcortical-predominant loss in the hippocampus, striatum and other subcortical regions. We confirmed the reproducibility of the two neurostructural subtypes across various sample sites, including Europe, North America and East Asia. This imaging-based taxonomy holds the potential to identify individuals with shared neurobiological attributes, thereby suggesting the viability of redefining existing disorder constructs based on biological factors., (© 2024. The Author(s).)
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- 2024
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45. Concurrent inflammation-related brain reorganization in multiple sclerosis and depression.
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Molina Galindo LS, Gonzalez-Escamilla G, Fleischer V, Grotegerd D, Meinert S, Ciolac D, Person M, Stein F, Brosch K, Nenadić I, Alexander N, Kircher T, Hahn T, Winter Y, Othman AE, Bittner S, Zipp F, Dannlowski U, and Groppa S
- Subjects
- Humans, Female, Male, Adult, Middle Aged, Neuroinflammatory Diseases diagnostic imaging, Magnetic Resonance Imaging methods, Multiple Sclerosis diagnostic imaging, Multiple Sclerosis pathology, Multiple Sclerosis psychology, Multiple Sclerosis complications, Multiple Sclerosis physiopathology, Depressive Disorder, Major diagnostic imaging, Depressive Disorder, Major physiopathology, Brain diagnostic imaging, Brain pathology, Inflammation, White Matter diagnostic imaging, White Matter pathology, Depression physiopathology, Gray Matter pathology, Gray Matter diagnostic imaging
- Abstract
Background: Neuroinflammation affects brain tissue integrity in multiple sclerosis (MS) and may have a role in major depressive disorder (MDD). Whether advanced magnetic resonance imaging characteristics of the gray-to-white matter border serve as proxy of neuroinflammatory activity in MDD and MS remain unknown., Methods: We included 684 participants (132 MDD patients with recurrent depressive episodes (RDE), 70 MDD patients with a single depressive episode (SDE), 222 MS patients without depressive symptoms (nMS), 58 MS patients with depressive symptoms (dMS), and 202 healthy controls (HC)). 3 T-T1w MRI-derived gray-to-white matter contrast (GWc) was used to reconstruct and characterize connectivity alterations of GWc-covariance networks by means of modularity, clustering coefficient, and degree. A cross-validated support vector machine was used to test the ability of GWc to stratify groups according to their depression symptoms, measured with BDI, at the single-subject level in MS and MDD independently., Findings: MS and MDD patients showed increased modularity (ANOVA partial-η
2 = 0.3) and clustering (partial-η2 = 0.1) compared to HC. In the subgroups, a linear trend analysis attested a gradient of modularity increases in the form: HC, dMS, nMS, SDE, and RDE (ANOVA partial-η2 = 0.28, p < 0.001) while this trend was less evident for clustering coefficient. Reduced morphological integrity (GWc) was seen in patients with increased depressive symptoms (partial-η2 = 0.42, P < 0.001) and was associated with depression scores across patient groups (r = -0.2, P < 0.001). Depressive symptoms in MS were robustly classified (88 %)., Conclusions: Similar structural network alterations in MDD and MS exist, suggesting possible common inflammatory events like demyelination, neuroinflammation that are caught by GWc analyses. These alterations may vary depending on the severity of symptoms and in the case of MS may elucidate the occurrence of comorbid depression., Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2024 The Author(s). Published by Elsevier Inc. All rights reserved.)- Published
- 2024
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46. Verbal Learning and Memory Deficits across Neurological and Neuropsychiatric Disorders: Insights from an ENIGMA Mega Analysis.
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Kennedy E, Liebel SW, Lindsey HM, Vadlamani S, Lei PW, Adamson MM, Alda M, Alonso-Lana S, Anderson TJ, Arango C, Asarnow RF, Avram M, Ayesa-Arriola R, Babikian T, Banaj N, Bird LJ, Borgwardt S, Brodtmann A, Brosch K, Caeyenberghs K, Calhoun VD, Chiaravalloti ND, Cifu DX, Crespo-Facorro B, Dalrymple-Alford JC, Dams-O'Connor K, Dannlowski U, Darby D, Davenport N, DeLuca J, Diaz-Caneja CM, Disner SG, Dobryakova E, Ehrlich S, Esopenko C, Ferrarelli F, Frank LE, Franz CE, Fuentes-Claramonte P, Genova H, Giza CC, Goltermann J, Grotegerd D, Gruber M, Gutierrez-Zotes A, Ha M, Haavik J, Hinkin C, Hoskinson KR, Hubl D, Irimia A, Jansen A, Kaess M, Kang X, Kenney K, Keřková B, Khlif MS, Kim M, Kindler J, Kircher T, Knížková K, Kolskår KK, Krch D, Kremen WS, Kuhn T, Kumari V, Kwon J, Langella R, Laskowitz S, Lee J, Lengenfelder J, Liou-Johnson V, Lippa SM, Løvstad M, Lundervold AJ, Marotta C, Marquardt CA, Mattos P, Mayeli A, McDonald CR, Meinert S, Melzer TR, Merchán-Naranjo J, Michel C, Morey RA, Mwangi B, Myall DJ, Nenadić I, Newsome MR, Nunes A, O'Brien T, Oertel V, Ollinger J, Olsen A, Ortiz García de la Foz V, Ozmen M, Pardoe H, Parent M, Piras F, Piras F, Pomarol-Clotet E, Repple J, Richard G, Rodriguez J, Rodriguez M, Rootes-Murdy K, Rowland J, Ryan NP, Salvador R, Sanders AM, Schmidt A, Soares JC, Spalleta G, Španiel F, Sponheim SR, Stasenko A, Stein F, Straube B, Thames A, Thomas-Odenthal F, Thomopoulos SI, Tone EB, Torres I, Troyanskaya M, Turner JA, Ulrichsen KM, Umpierrez G, Vecchio D, Vilella E, Vivash L, Walker WC, Werden E, Westlye LT, Wild K, Wroblewski A, Wu MJ, Wylie GR, Yatham LN, Zunta-Soares GB, Thompson PM, Pugh MJ, Tate DF, Hillary FG, Wilde EA, and Dennis EL
- Abstract
Deficits in memory performance have been linked to a wide range of neurological and neuropsychiatric conditions. While many studies have assessed the memory impacts of individual conditions, this study considers a broader perspective by evaluating how memory recall is differentially associated with nine common neuropsychiatric conditions using data drawn from 55 international studies, aggregating 15,883 unique participants aged 15-90. The effects of dementia, mild cognitive impairment, Parkinson's disease, traumatic brain injury, stroke, depression, attention-deficit/hyperactivity disorder (ADHD), schizophrenia, and bipolar disorder on immediate, short-, and long-delay verbal learning and memory (VLM) scores were estimated relative to matched healthy individuals. Random forest models identified age, years of education, and site as important VLM covariates. A Bayesian harmonization approach was used to isolate and remove site effects. Regression estimated the adjusted association of each clinical group with VLM scores. Memory deficits were strongly associated with dementia and schizophrenia ( p < 0.001), while neither depression nor ADHD showed consistent associations with VLM scores ( p > 0.05). Differences associated with clinical conditions were larger for longer delayed recall duration items. By comparing VLM across clinical conditions, this study provides a foundation for enhanced diagnostic precision and offers new insights into disease management of comorbid disorders.
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- 2024
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47. Handedness in schizophrenia and affective disorders: a large-scale cross-disorder study.
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Mundorf A, Lischke A, Peterburs J, Alexander N, Bonnekoh LM, Brosch K, Flinkenflügel K, Goltermann J, Hahn T, Jansen A, Meinert S, Nenadić I, Schürmeyer NN, Stein F, Straube B, Thiel K, Teutenberg L, Thomas-Odenthal F, Usemann P, Winter A, Dannlowski U, Kircher T, and Ocklenburg S
- Abstract
While most people are right-handed, a minority are left-handed or mixed-handed. It has been suggested that mental and developmental disorders are associated with increased prevalence of left-handedness and mixed-handedness. However, substantial heterogeneity exists across disorders, indicating that not all disorders are associated with a considerable shift away from right-handedness. Increased frequencies in left- and mixed-handedness have also been associated with more severe clinical symptoms, indicating that symptom severity rather than diagnosis explains the high prevalence of non-right-handedness in mental disorders. To address this issue, the present study investigated the association between handedness and measures of stress reactivity, depression, mania, anxiety, and positive and negative symptoms in a large sample of 994 healthy controls and 1213 patients with DSM IV affective disorders, schizoaffective disorders, or schizophrenia. A series of complementary analyses revealed lower lateralization and a higher percentage of mixed-handedness in patients with major depression (14.9%) and schizophrenia (24.0%) compared to healthy controls (12%). For patients with schizophrenia, higher symptom severity was associated with an increasing tendency towards left-handedness. No associations were found for patients diagnosed with major depression, bipolar disorder, or schizoaffective disorder. In healthy controls, no association between hand preference and symptoms was evident. Taken together, these findings suggest that both diagnosis and symptom severity are relevant for the shift away from right-handedness in mental disorders like schizophrenia and major depression., (© 2024. The Author(s).)
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- 2024
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48. Exploring the complex interrelation between depressive symptoms, risk, and protective factors: A comprehensive network approach.
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Iovoli F, Hall M, Nenadic I, Straube B, Alexander N, Jamalabadi H, Jansen A, Stein F, Brosch K, Thomas-Odenthal F, Usemann P, Teutenberg L, Wroblewski A, Pfarr J, Thiel K, Flinkenflügel K, Meinert S, Grotegerd D, Hahn T, Goltermann J, Gruber M, Repple J, Enneking V, Winter A, Dannlowski U, Kircher T, and Rubel JA
- Subjects
- Humans, Protective Factors, Cross-Sectional Studies, Self Report, Depression etiology, Depressive Disorder, Major epidemiology
- Abstract
Background: Depressive symptoms seem to be interrelated in a complex and self-reinforcing way. To gain a better understanding of this complexity, the inclusion of theoretically relevant constructs (such as risk and protective factors) offers a comprehensive view into the complex mechanisms underlying depression., Methods: Cross-sectional data from individuals diagnosed with a major depressive disorder (N = 986) and healthy controls (N = 1049) were analyzed. Participants self-reported their depressive symptoms, as well as several risk factors and protective factors. Regularized partial correlation networks were estimated for each group and compared using a network comparison test., Results: Symptoms of depression were more strongly connected in the network of depressed patients than in healthy controls. Among the risk factors, perceived stress, the experience of negative life events, emotional neglect, and emotional abuse were the most centrally embedded in both networks. However, the centrality of risk factors did not significantly differ between the two groups. Among the protective factors, social support, personal competence, and acceptance were the most central in both networks, where the latter was significantly more strongly associated with the symptom of self-hate in depressed patients., Conclusion: The network analysis revealed that key symptoms of depression were more strongly connected for depressed patients than for healthy controls, and that risk and protective factors play an important role, particularly perceived stress in both groups and an accepting attitude for depressed patients. However, the purpose of this study is hypothesis generating and assisting in the potential selection of non-symptom nodes for future research., Competing Interests: Declaration of competing interest We report no conflicts of interest., (Copyright © 2024 The Authors. Published by Elsevier B.V. All rights reserved.)
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- 2024
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49. Factor analysis of lifetime psychopathology and its brain morphometric and genetic correlates in a transdiagnostic sample.
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Krug A, Stein F, David FS, Schmitt S, Brosch K, Pfarr JK, Ringwald KG, Meller T, Thomas-Odenthal F, Meinert S, Thiel K, Winter A, Waltemate L, Lemke H, Grotegerd D, Opel N, Repple J, Hahn T, Streit F, Witt SH, Rietschel M, Andlauer TFM, Nöthen MM, Philipsen A, Nenadić I, Dannlowski U, Kircher T, and Forstner AJ
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- Humans, Male, Female, Adult, Middle Aged, Factor Analysis, Statistical, Brain pathology, Brain diagnostic imaging, Psychopathology, Multifactorial Inheritance genetics, Cerebral Cortex pathology, Cerebral Cortex diagnostic imaging, Magnetic Resonance Imaging, Bipolar Disorder genetics, Bipolar Disorder pathology, Bipolar Disorder diagnostic imaging, Depressive Disorder, Major genetics, Depressive Disorder, Major diagnostic imaging, Depressive Disorder, Major pathology, Schizophrenia genetics, Schizophrenia pathology, Schizophrenia diagnostic imaging, Psychotic Disorders genetics, Psychotic Disorders diagnostic imaging, Psychotic Disorders pathology, Gray Matter pathology, Gray Matter diagnostic imaging, Genome-Wide Association Study
- Abstract
There is a lack of knowledge regarding the relationship between proneness to dimensional psychopathological syndromes and the underlying pathogenesis across major psychiatric disorders, i.e., Major Depressive Disorder (MDD), Bipolar Disorder (BD), Schizoaffective Disorder (SZA), and Schizophrenia (SZ). Lifetime psychopathology was assessed using the OPerational CRITeria (OPCRIT) system in 1,038 patients meeting DSM-IV-TR criteria for MDD, BD, SZ, or SZA. The cohort was split into two samples for exploratory and confirmatory factor analyses. All patients were scanned with 3-T MRI, and data was analyzed with the CAT-12 toolbox in SPM12. Psychopathological factor scores were correlated with gray matter volume (GMV) and cortical thickness (CT). Finally, factor scores were used for exploratory genetic analyses including genome-wide association studies (GWAS) and polygenic risk score (PRS) association analyses. Three factors (paranoid-hallucinatory syndrome, PHS; mania, MA; depression, DEP) were identified and cross-validated. PHS was negatively correlated with four GMV clusters comprising parts of the hippocampus, amygdala, angular, middle occipital, and middle frontal gyri. PHS was also negatively associated with the bilateral superior temporal, left parietal operculum, and right angular gyrus CT. No significant brain correlates were observed for the two other psychopathological factors. We identified genome-wide significant associations for MA and DEP. PRS for MDD and SZ showed a positive effect on PHS, while PRS for BD showed a positive effect on all three factors. This study investigated the relationship of lifetime psychopathological factors and brain morphometric and genetic markers. Results highlight the need for dimensional approaches, overcoming the limitations of the current psychiatric nosology., (© 2024. The Author(s).)
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- 2024
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50. The impact of depression and childhood maltreatment experiences on psychological adaptation from lockdown to reopening period during the COVID-19 pandemic.
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Herpertz J, Goltermann J, Gruber M, Blitz R, Taylor J, Brosch K, Stein F, Straube B, Meinert S, Kraus A, Leehr EJ, Repple J, Redlich R, Gutfleisch L, Besteher B, Ratzsch J, Winter A, Bonnekoh LM, Winter NR, Emden D, Kircher T, Nenadić I, Dannlowski U, Hahn T, and Opel N
- Subjects
- Humans, Male, Female, Adult, Quarantine psychology, Child Abuse psychology, Child Abuse statistics & numerical data, Middle Aged, Adult Survivors of Child Abuse psychology, Adult Survivors of Child Abuse statistics & numerical data, Pandemics, COVID-19 psychology, COVID-19 epidemiology, COVID-19 prevention & control, Adaptation, Psychological, Depression psychology, Depression epidemiology
- Published
- 2024
- Full Text
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