Search

Your search keyword '"Hermesdorf, Marco"' showing total 38 results
Start Over Author "Hermesdorf, Marco"
38 results on '"Hermesdorf, Marco"'

1. deepmriprep: Voxel-based Morphometry (VBM) Preprocessing via Deep Neural Networks

Author

Fisch, Lukas, Winter, Nils R., Goltermann, Janik, Barkhau, Carlotta, Emden, Daniel, Ernsting, Jan, Konowski, Maximilian, Leenings, Ramona, Borgers, Tiana, Flinkenflügel, Kira, Grotegerd, Dominik, Kraus, Anna, Leehr, Elisabeth J., Meinert, Susanne, Stein, Frederike, Teutenberg, Lea, Thomas-Odenthal, Florian, Usemann, Paula, Hermesdorf, Marco, Jamalabadi, Hamidreza, Jansen, Andreas, Nenadic, Igor, Straube, Benjamin, Kircher, Tilo, Berger, Klaus, Risse, Benjamin, Dannlowski, Udo, and Hahn, Tim

Subjects
Electrical Engineering and Systems Science - Image and Video Processing, Computer Science - Computer Vision and Pattern Recognition
Abstract

Voxel-based Morphometry (VBM) has emerged as a powerful approach in neuroimaging research, utilized in over 7,000 studies since the year 2000. Using Magnetic Resonance Imaging (MRI) data, VBM assesses variations in the local density of brain tissue and examines its associations with biological and psychometric variables. Here, we present deepmriprep, a neural network-based pipeline that performs all necessary preprocessing steps for VBM analysis of T1-weighted MR images using deep neural networks. Utilizing the Graphics Processing Unit (GPU), deepmriprep is 37 times faster than CAT12, the leading VBM preprocessing toolbox. The proposed method matches CAT12 in accuracy for tissue segmentation and image registration across more than 100 datasets and shows strong correlations in VBM results. Tissue segmentation maps from deepmriprep have over 95% agreement with ground truth maps, and its non-linear registration, using supervised SYMNet, predicts smooth deformation fields comparable to CAT12. The high processing speed of deepmriprep enables rapid preprocessing of extensive datasets and thereby fosters the application of VBM analysis to large-scale neuroimaging studies and opens the door to real-time applications. Finally, deepmripreps straightforward, modular design enables researchers to easily understand, reuse, and advance the underlying methods, fostering further advancements in neuroimaging research. deepmriprep can be conveniently installed as a Python package and is publicly accessible at https://github.com/wwu-mmll/deepmriprep.

Published
2024

4. Brain aging in major depressive disorder: results from the ENIGMA major depressive disorder working group

Author

Han, Laura KM, Dinga, Richard, Hahn, Tim, Ching, Christopher RK, Eyler, Lisa T, Aftanas, Lyubomir, Aghajani, Moji, Aleman, André, Baune, Bernhard T, Berger, Klaus, Brak, Ivan, Filho, Geraldo Busatto, Carballedo, Angela, Connolly, Colm G, Couvy-Duchesne, Baptiste, Cullen, Kathryn R, Dannlowski, Udo, Davey, Christopher G, Dima, Danai, Duran, Fabio LS, Enneking, Verena, Filimonova, Elena, Frenzel, Stefan, Frodl, Thomas, Fu, Cynthia HY, Godlewska, Beata R, Gotlib, Ian H, Grabe, Hans J, Groenewold, Nynke A, Grotegerd, Dominik, Gruber, Oliver, Hall, Geoffrey B, Harrison, Ben J, Hatton, Sean N, Hermesdorf, Marco, Hickie, Ian B, Ho, Tiffany C, Hosten, Norbert, Jansen, Andreas, Kähler, Claas, Kircher, Tilo, Klimes-Dougan, Bonnie, Krämer, Bernd, Krug, Axel, Lagopoulos, Jim, Leenings, Ramona, MacMaster, Frank P, MacQueen, Glenda, McIntosh, Andrew, McLellan, Quinn, McMahon, Katie L, Medland, Sarah E, Mueller, Bryon A, Mwangi, Benson, Osipov, Evgeny, Portella, Maria J, Pozzi, Elena, Reneman, Liesbeth, Repple, Jonathan, Rosa, Pedro GP, Sacchet, Matthew D, Sämann, Philipp G, Schnell, Knut, Schrantee, Anouk, Simulionyte, Egle, Soares, Jair C, Sommer, Jens, Stein, Dan J, Steinsträter, Olaf, Strike, Lachlan T, Thomopoulos, Sophia I, van Tol, Marie-José, Veer, Ilya M, Vermeiren, Robert RJM, Walter, Henrik, van der Wee, Nic JA, van der Werff, Steven JA, Whalley, Heather, Winter, Nils R, Wittfeld, Katharina, Wright, Margaret J, Wu, Mon-Ju, Völzke, Henry, Yang, Tony T, Zannias, Vasileios, de Zubicaray, Greig I, Zunta-Soares, Giovana B, Abé, Christoph, Alda, Martin, Andreassen, Ole A, Bøen, Erlend, Bonnin, Caterina M, Canales-Rodriguez, Erick J, Cannon, Dara, Caseras, Xavier, Chaim-Avancini, Tiffany M, Elvsåshagen, Torbjørn, Favre, Pauline, Foley, Sonya F, and Fullerton, Janice M

Subjects
Depression, Aging, Brain Disorders, Biomedical Imaging, Serious Mental Illness, Mental Health, Major Depressive Disorder, Behavioral and Social Science, Clinical Research, Neurosciences, 2.3 Psychological, social and economic factors, Aetiology, Mental health, Adolescent, Adult, Aged, Brain, Depressive Disorder, Major, Female, Humans, Longitudinal Studies, Magnetic Resonance Imaging, Male, Middle Aged, Young Adult, Biological Sciences, Medical and Health Sciences, Psychology and Cognitive Sciences, Psychiatry
Abstract

Major depressive disorder (MDD) is associated with an increased risk of brain atrophy, aging-related diseases, and mortality. We examined potential advanced brain aging in adult MDD patients, and whether this process is associated with clinical characteristics in a large multicenter international dataset. We performed a mega-analysis by pooling brain measures derived from T1-weighted MRI scans from 19 samples worldwide. Healthy brain aging was estimated by predicting chronological age (18-75 years) from 7 subcortical volumes, 34 cortical thickness and 34 surface area, lateral ventricles and total intracranial volume measures separately in 952 male and 1236 female controls from the ENIGMA MDD working group. The learned model coefficients were applied to 927 male controls and 986 depressed males, and 1199 female controls and 1689 depressed females to obtain independent unbiased brain-based age predictions. The difference between predicted "brain age" and chronological age was calculated to indicate brain-predicted age difference (brain-PAD). On average, MDD patients showed a higher brain-PAD of +1.08 (SE 0.22) years (Cohen's d = 0.14, 95% CI: 0.08-0.20) compared with controls. However, this difference did not seem to be driven by specific clinical characteristics (recurrent status, remission status, antidepressant medication use, age of onset, or symptom severity). This highly powered collaborative effort showed subtle patterns of age-related structural brain abnormalities in MDD. Substantial within-group variance and overlap between groups were observed. Longitudinal studies of MDD and somatic health outcomes are needed to further assess the clinical value of these brain-PAD estimates.

Published
2021

5. Biological sex classification with structural MRI data shows increased misclassification in transgender women

Author

Flint, Claas, Förster, Katharina, Koser, Sophie A., Konrad, Carsten, Zwitserlood, Pienie, Berger, Klaus, Hermesdorf, Marco, Kircher, Tilo, Nenadic, Igor, Krug, Axel, Baune, Bernhard T., Dohm, Katharina, Redlich, Ronny, Opel, Nils, Arolt, Volker, Hahn, Tim, Jiang, Xiaoyi, Dannlowski, Udo, and Grotegerd, Dominik

Subjects
Quantitative Biology - Neurons and Cognition, Computer Science - Computer Vision and Pattern Recognition
Abstract

Transgender individuals (TIs) show brain structural alterations that differ from their biological sex as well as their perceived gender. To substantiate evidence that the brain structure of TIs differs from male and female, we use a combined multivariate and univariate approach. Gray matter segments resulting from voxel-based morphometry preprocessing of $N = 1753$ cisgender (CG) healthy participants were used to train ($N=1402$) and validate (20 % hold-out; $N = 351$) a support-vector machine classifying the biological sex. As a second validation, we classified $N = 1104$ patients with depression. A third validation was performed using the matched CG sample of the transgender women (TWs) application-sample. Subsequently, the classifier was applied to $N = 26$ TWs. Finally, we compared brain volumes of CG-men, women and TW-pre/post treatment (cross-sex hormone treatment) in a univariate analysis controlling for sexual orientation, age and total brain volume. The application of our biological sex classifier to the transgender sample resulted in a significantly lower true positive rate (TPR) (TPR-male = 56.0 %). The TPR did not differ between CG-individuals with (TPR-male = 86.9 %) and without depression (TPR-male = 88.5 %). The univariate analysis of the transgender application-sample revealed that TW-pre/post treatment show brain structural differences from CG-women and CG-men in the putamen and insula, as well as the whole-brain analysis. Our results support the hypothesis that brain structure in TW differs from brain structure of their biological sex (male) as well as their perceived gender (female). This finding substantiates evidence that TIs show specific brain structural alterations leading to a different pattern of brain structure than CG-individuals., Comment: Content adapted to the publication at Neuropsychopharmacology

Published
2019
Full Text
View/download PDF

7. Brain structural abnormalities in obesity: relation to age, genetic risk, and common psychiatric disorders: Evidence through univariate and multivariate mega-analysis including 6420 participants from the ENIGMA MDD working group

Author

Opel, Nils, Thalamuthu, Anbupalam, Milaneschi, Yuri, Grotegerd, Dominik, Flint, Claas, Leenings, Ramona, Goltermann, Janik, Richter, Maike, Hahn, Tim, Woditsch, Georg, Berger, Klaus, Hermesdorf, Marco, McIntosh, Andrew, Whalley, Heather C., Harris, Mathew A., MacMaster, Frank P., Walter, Henrik, Veer, Ilya M., Frodl, Thomas, Carballedo, Angela, Krug, Axel, Nenadic, Igor, Kircher, Tilo, Aleman, Andre, Groenewold, Nynke A., Stein, Dan J., Soares, Jair C., Zunta-Soares, Giovana B., Mwangi, Benson, Wu, Mon-Ju, Walter, Martin, Li, Meng, Harrison, Ben J., Davey, Christopher G., Cullen, Kathryn R., Klimes-Dougan, Bonnie, Mueller, Bryon A., Sämann, Philipp G., Penninx, Brenda, Nawijn, Laura, Veltman, Dick J., Aftanas, Lyubomir, Brak, Ivan V., Filimonova, Elena A., Osipov, Evgeniy A., Reneman, Liesbeth, Schrantee, Anouk, Grabe, Hans J., Van der Auwera, Sandra, Wittfeld, Katharina, Hosten, Norbert, Völzke, Henry, Sim, Kang, Gotlib, Ian H., Sacchet, Matthew D., Lagopoulos, Jim, Hatton, Sean N., Hickie, Ian, Pozzi, Elena, Thompson, Paul M., Jahanshad, Neda, Schmaal, Lianne, Baune, Bernhard T., and Dannlowski, Udo

Published
2021
Full Text
View/download PDF

8. Replicability and Generalizability of Gray Matter Reductions in Major Depression: A Voxel-Based Investigation of 4021 Individuals

Author

Dannlowski, Udo, primary, Winter, Nils R., additional, Meinert, Susanne, additional, Grotegerd, Dominik, additional, Kraus, Anna, additional, Flinkenflügel, Kira, additional, Leehr, Elisabeth J., additional, Böhnlein, Joscha, additional, Borgers, Tiana, additional, Fisch, Lukas, additional, Bauer, Michael, additional, Pfennig, Andrea, additional, Richter, Maike, additional, Opel, Nils, additional, Repple, Jonathan, additional, Gruber, Marius, additional, Minnerup, Heike, additional, Hermesdorf, Marco, additional, Nitsch, Robert, additional, Groß, Joachim, additional, Jansen, Andreas, additional, Alexander, Nina, additional, Stein, Frederike, additional, Nenadić, Igor, additional, Berger, Klaus, additional, Kircher, Tilo, additional, Hahn, Tim, additional, and Goltermann, Janik, additional

Published
2024
Full Text
View/download PDF

10. ENIGMA MDD: seven years of global neuroimaging studies of major depression through worldwide data sharing

Author

Schmaal, Lianne, Pozzi, Elena, C. Ho, Tiffany, van Velzen, Laura S., Veer, Ilya M., Opel, Nils, Van Someren, Eus J. W., Han, Laura K. M., Aftanas, Lybomir, Aleman, André, Baune, Bernhard T., Berger, Klaus, Blanken, Tessa F., Capitão, Liliana, Couvy-Duchesne, Baptiste, R. Cullen, Kathryn, Dannlowski, Udo, Davey, Christopher, Erwin-Grabner, Tracy, Evans, Jennifer, Frodl, Thomas, Fu, Cynthia H. Y., Godlewska, Beata, Gotlib, Ian H., Goya-Maldonado, Roberto, Grabe, Hans J., Groenewold, Nynke A., Grotegerd, Dominik, Gruber, Oliver, Gutman, Boris A., Hall, Geoffrey B., Harrison, Ben J., Hatton, Sean N., Hermesdorf, Marco, Hickie, Ian B., Hilland, Eva, Irungu, Benson, Jonassen, Rune, Kelly, Sinead, Kircher, Tilo, Klimes-Dougan, Bonnie, Krug, Axel, Landrø, Nils Inge, Lagopoulos, Jim, Leerssen, Jeanne, Li, Meng, Linden, David E. J., MacMaster, Frank P., M. McIntosh, Andrew, Mehler, David M. A., Nenadić, Igor, Penninx, Brenda W. J. H., Portella, Maria J., Reneman, Liesbeth, Rentería, Miguel E., Sacchet, Matthew D., G. Sämann, Philipp, Schrantee, Anouk, Sim, Kang, Soares, Jair C., Stein, Dan J., Tozzi, Leonardo, van Der Wee, Nic J. A., van Tol, Marie-José, Vermeiren, Robert, Vives-Gilabert, Yolanda, Walter, Henrik, Walter, Martin, Whalley, Heather C., Wittfeld, Katharina, Whittle, Sarah, Wright, Margaret J., Yang, Tony T., Zarate, Jr, Carlos, Thomopoulos, Sophia I., Jahanshad, Neda, Thompson, Paul M., and Veltman, Dick J.

Published
2020
Full Text
View/download PDF

12. Correction: Brain structural abnormalities in obesity: relation to age, genetic risk, and common psychiatric disorders

Author

Opel, Nils, Thalamuthu, Anbupalam, Milaneschi, Yuri, Grotegerd, Dominik, Flint, Claas, Leenings, Ramona, Goltermann, Janik, Richter, Maike, Hahn, Tim, Woditsch, Georg, Berger, Klaus, Hermesdorf, Marco, McIntosh, Andrew, Whalley, Heather C., Harris, Mathew A., MacMaster, Frank P., Walter, Henrik, Veer, Ilya M., Frodl, Thomas, Carballedo, Angela, Krug, Axel, Nenadic, Igor, Kircher, Tilo, Aleman, Andre, Groenewold, Nynke A., Stein, Dan J., Soares, Jair C., Zunta-Soares, Giovana B., Mwangi, Benson, Wu, Mon-Ju, Walter, Martin, Li, Meng, Harrison, Ben J., Davey, Christopher G., Cullen, Kathryn R., Klimes-Dougan, Bonnie, Mueller, Bryon A., Sämann, Philipp G., Penninx, Brenda, Nawijn, Laura, Veltman, Dick J., Aftanas, Lyubomir, Brak, Ivan V., Filimonova, Elena A., Osipov, Evgeniy A., Reneman, Liesbeth, Schrantee, Anouk, Grabe, Hans J., Van der Auwera, Sandra, Wittfeld, Katharina, Hosten, Norbert, Völzke, Henry, Sim, Kang, Gotlib, Ian H., Sacchet, Matthew D., Lagopoulos, Jim, Hatton, Sean N., Hickie, Ian, Pozzi, Elena, Thompson, Paul M., Jahanshad, Neda, Schmaal, Lianne, Baune, Bernhard T., and Dannlowski, Udo

Published
2021
Full Text
View/download PDF

13. Serum Glial Fibrillary Acidic Protein compared with Neurofilament Light Chain as Biomarker for Multiple Sclerosis Disease Progression (P5-3.016)

Author

Meier, Stephanie, primary, Benkert, Pascal, additional, Maceski, Aleksandra Maleska, additional, Schaedelin, Sabine, additional, Oechtering, Johanna, additional, Melie-Garcia, Lester, additional, Cagol, Alessandro, additional, Barakovic, Muhamed, additional, Galbusera, Riccardo, additional, Achtnichts, Lutz, additional, Lalive, Patrice H., additional, Bridel, Claire, additional, Müller, Stefanie, additional, Pot, Caroline, additional, Salmen, Anke, additional, Disanto, Giulio, additional, Zecca, Chiara, additional, Abdelhak, Ahmed, additional, Barro, Christian, additional, Thebault, Simon, additional, D’Souza, Marcus, additional, Derfuss, Tobias, additional, Orleth, Annette, additional, Khalil, Michael, additional, Yaldizli, Özguer, additional, Hermesdorf, Marco, additional, Wiendl, Heinz, additional, Piehl, Fredrik, additional, Fischer, Urs, additional, Kappos, Ludwig, additional, Gobbi, Claudio, additional, Granziera, Cristina, additional, Leppert, David, additional, Willemse, Eline A.J., additional, and Kuhle, Jens, additional

Published
2023
Full Text
View/download PDF

14. Serum Glial Fibrillary Acidic Protein Compared With Neurofilament Light Chain as a Biomarker for Disease Progression in Multiple Sclerosis

Author

Meier, Stephanie, primary, Willemse, Eline A.J., additional, Schaedelin, Sabine, additional, Oechtering, Johanna, additional, Lorscheider, Johannes, additional, Melie-Garcia, Lester, additional, Cagol, Alessandro, additional, Barakovic, Muhamed, additional, Galbusera, Riccardo, additional, Subramaniam, Suvitha, additional, Barro, Christian, additional, Abdelhak, Ahmed, additional, Thebault, Simon, additional, Achtnichts, Lutz, additional, Lalive, Patrice, additional, Müller, Stefanie, additional, Pot, Caroline, additional, Salmen, Anke, additional, Disanto, Giulio, additional, Zecca, Chiara, additional, D’Souza, Marcus, additional, Orleth, Annette, additional, Khalil, Michael, additional, Buchmann, Arabella, additional, Du Pasquier, Renaud, additional, Yaldizli, Özgür, additional, Derfuss, Tobias, additional, Berger, Klaus, additional, Hermesdorf, Marco, additional, Wiendl, Heinz, additional, Piehl, Fredrik, additional, Battaglini, Marco, additional, Fischer, Urs, additional, Kappos, Ludwig, additional, Gobbi, Claudio, additional, Granziera, Cristina, additional, Bridel, Claire, additional, Leppert, David, additional, Maleska Maceski, Aleksandra, additional, Benkert, Pascal, additional, and Kuhle, Jens, additional

Published
2023
Full Text
View/download PDF

18. The role of educational attainment and brain morphology in major depressive disorder: Findings from the ENIGMA major depressive disorder consortium.

Author

Whittle, Sarah, primary, Rakesh, Divyangana, additional, Schmaal, Lianne, additional, Veltman, Dick J., additional, Thompson, Paul M., additional, Singh, Aditya, additional, Gonul, Ali Saffet, additional, Aleman, Andre, additional, Uyar Demir, Aslıhan, additional, Krug, Axel, additional, Mwangi, Benson, additional, Krämer, Bernd, additional, Baune, Bernhard T., additional, Stein, Dan J., additional, Grotegerd, Dominik, additional, Pomarol-Clotet, Edith, additional, Rodríguez-Cano, Elena, additional, Melloni, Elisa, additional, Benedetti, Francesco, additional, Stein, Frederike, additional, Grabe, Hans J., additional, Völzke, Henry, additional, Gotlib, Ian H., additional, Nenadić, Igor, additional, Soares, Jair C., additional, Repple, Jonathan, additional, Sim, Kang, additional, Brosch, Katharina, additional, Wittfeld, Katharina, additional, Berger, Klaus, additional, Hermesdorf, Marco, additional, Portella, Maria J., additional, Sacchet, Matthew D., additional, Wu, Mon-Ju, additional, Opel, Nils, additional, Groenewold, Nynke A., additional, Gruber, Oliver, additional, Fuentes-Claramonte, Paola, additional, Salvador, Raymond, additional, Goya-Maldonado, Roberto, additional, Sarró, Salvador, additional, Poletti, Sara, additional, Meinert, Susanne L., additional, Kircher, Tilo, additional, Dannlowski, Udo, additional, and Pozzi, Elena, additional

Published
2022
Full Text
View/download PDF

19. P353. Gray Matter Correlates of Childhood Maltreatment: Investigation of Robustness and Replicability in a Multi-Cohort Voxel-Based Analysis of 2952 Adults

Author

Goltermann, Janik, primary, Winter, Nils, additional, Waltemate, Lena, additional, Schrammen, Elisabeth, additional, Meinert, Susanne, additional, Grotegerd, Dominik, additional, Dohm, Katharina, additional, Thiel, Katharina, additional, Lemke, Hannah, additional, Winter, Alexandra, additional, Breuer, Fabian, additional, Gruber, Marius, additional, Repple, Jonathan, additional, Teismann, Henning, additional, Hermesdorf, Marco, additional, Berger, Klaus, additional, Jansen, Andreas, additional, Nenadić, Igor, additional, Kircher, Tilo, additional, Opel, Nils, additional, and Dannlowski, Udo, additional

Published
2022
Full Text
View/download PDF

20. Brain structural abnormalities in obesity: relation to age, genetic risk, and common psychiatric disorders

Author

Opel, Nils, Thalamuthu, Anbupalam, Milaneschi, Yuri, Grotegerd, Dominik, Flint, Claas, Leenings, Ramona, Goltermann, Janik, Richter, Maike, Hahn, Tim, Woditsch, Georg, Berger, Klaus, Hermesdorf, Marco, McIntosh, Andrew, Whalley, Heather C., Harris, Mathew A., MacMaster, Frank P., Walter, Henrik, Veer, Ilya M., Frodl, Thomas, Carballedo, Angela, Krug, Axel, Nenadic, Igor, Kircher, Tilo, Aleman, Andre, Groenewold, Nynke A., Stein, Dan J., Soares, Jair C., Zunta-Soares, Giovana B., Mwangi, Benson, Wu, Mon-Ju, Walter, Martin, Li, Meng, Harrison, Ben J., Davey, Christopher G., Cullen, Kathryn R., Klimes-Dougan, Bonnie, Mueller, Bryon A., Sämann, Philipp G., Penninx, Brenda, Nawijn, Laura, Veltman, Dick J., Aftanas, Lyubomir, Brak, Ivan V., Filimonova, Elena A., Osipov, Evgeniy A., Reneman, Liesbeth, Schrantee, Anouk, Grabe, Hans J., Van der Auwera, Sandra, Wittfeld, Katharina, Hosten, Norbert, Völzke, Henry, Sim, Kang, Gotlib, Ian H., Sacchet, Matthew D., Lagopoulos, Jim, Hatton, Sean N., Hickie, Ian, Pozzi, Elena, Thompson, Paul M., Jahanshad, Neda, Schmaal, Lianne, Baune, Bernhard T., and Dannlowski, Udo

Subjects
Depression, Diagnostic markers, Article
Abstract

Emerging evidence suggests that obesity impacts brain physiology at multiple levels. Here we aimed to clarify the relationship between obesity and brain structure using structural MRI (n = 6420) and genetic data (n = 3907) from the ENIGMA Major Depressive Disorder (MDD) working group. Obesity (BMI > 30) was significantly associated with cortical and subcortical abnormalities in both mass-univariate and multivariate pattern recognition analyses independent of MDD diagnosis. The most pronounced effects were found for associations between obesity and lower temporo-frontal cortical thickness (maximum Cohen´s d (left fusiform gyrus) = −0.33). The observed regional distribution and effect size of cortical thickness reductions in obesity revealed considerable similarities with corresponding patterns of lower cortical thickness in previously published studies of neuropsychiatric disorders. A higher polygenic risk score for obesity significantly correlated with lower occipital surface area. In addition, a significant age-by-obesity interaction on cortical thickness emerged driven by lower thickness in older participants. Our findings suggest a neurobiological interaction between obesity and brain structure under physiological and pathological brain conditions.

Published
2020

22. Correction to: Biological sex classification with structural MRI data shows increased misclassification in transgender women

Author

Flint, Claas, primary, Förster, Katharina, additional, Koser, Sophie A., additional, Konrad, Carsten, additional, Zwitserlood, Pienie, additional, Berger, Klaus, additional, Hermesdorf, Marco, additional, Kircher, Tilo, additional, Nenadic, Igor, additional, Krug, Axel, additional, Baune, Bernhard T., additional, Dohm, Katharina, additional, Redlich, Ronny, additional, Opel, Nils, additional, Arolt, Volker, additional, Hahn, Tim, additional, Jiang, Xiaoyi, additional, Dannlowski, Udo, additional, and Grotegerd, Dominik, additional

Published
2021
Full Text
View/download PDF

23. Brain Correlates of Suicide Attempt in 18,925 Participants Across 18 International Cohorts

Author

Campos, Adrian I., primary, Thompson, Paul M., additional, Veltman, Dick J., additional, Pozzi, Elena, additional, van Veltzen, Laura S., additional, Jahanshad, Neda, additional, Adams, Mark J., additional, Baune, Bernhard T., additional, Berger, Klaus, additional, Brosch, Katharina, additional, Bülow, Robin, additional, Connolly, Colm G., additional, Dannlowski, Udo, additional, Davey, Christopher G., additional, de Zubicaray, Greig I., additional, Dima, Danai, additional, Erwin-Grabner, Tracy, additional, Evans, Jennifer W., additional, Fu, Cynthia H.Y., additional, Gotlib, Ian H., additional, Goya-Maldonado, Roberto, additional, Grabe, Hans J., additional, Grotegerd, Dominik, additional, Harris, Matthew A., additional, Harrison, Ben J., additional, Hatton, Sean N., additional, Hermesdorf, Marco, additional, Hickie, Ian B., additional, Ho, Tiffany C., additional, Kircher, Tilo, additional, Krug, Axel, additional, Lagopoulos, Jim, additional, Lemke, Hannah, additional, McMahon, Katie, additional, MacMaster, Frank P., additional, Martin, Nicholas G., additional, McIntosh, Andrew M., additional, Medland, Sarah E., additional, Meinert, Susanne, additional, Meller, Tina, additional, Nenadic, Igor, additional, Opel, Nils, additional, Redlich, Ronny, additional, Reneman, Liesbeth, additional, Repple, Jonathan, additional, Sacchet, Matthew D., additional, Schmitt, Simon, additional, Schrantee, Anouk, additional, Sim, Kang, additional, Singh, Aditya, additional, Stein, Frederike, additional, Strike, Lachlan T., additional, van der Wee, Nic J.A., additional, van der Werff, Steven J.A., additional, Völzke, Henry, additional, Waltemate, Lena, additional, Whalley, Heather C., additional, Wittfeld, Katharina, additional, Wright, Margaret J., additional, Yang, Tony T., additional, Zarate, Carlos A., additional, Schmaal, Lianne, additional, and Rentería, Miguel E., additional

Published
2021
Full Text
View/download PDF

24. Brain Correlates of Suicide Attempt in 18,925 Participants Across 18 International Cohorts

Author

Campos, Adrian I, Thompson, Paul M., Veltman, Dick J, Pozzi, Elena, van Veltzen, Laura S, Jahanshad, Neda, Adams, Mark J, Baune, Bernhard T, Berger, Klaus, Brosch, Katharina, Bülow, Robin, Connolly, Colm G, Dannlowski, Udo, Davey, Christopher G, de Zubicaray, Greig I, Dima, Danai, Erwin-Grabner, Tracy, Evans, Jennifer W, Fu, Cynthia H Y, Gotlib, Ian H, Goya-Maldonado, Roberto, Grabe, Hans J, Grotegerd, Dominik, Harris, Matthew A, Harrison, Ben J, Hatton, Sean N, Hermesdorf, Marco, Hickie, Ian B, Ho, Tiffany C, Kircher, Tilo, Krug, Axel, Lagopoulos, Jim, Lemke, Hannah, McMahon, Katie, MacMaster, Frank P, Martin, Nicholas G, McIntosh, Andrew M, Medland, Sarah E, Meinert, Susanne, Meller, Tina, Nenadic, Igor, Opel, Nils, Redlich, Ronny, Reneman, Liesbeth, Repple, Jonathan, Sacchet, Matthew D, Schmitt, Simon, Schrantee, Anouk, Sim, Kang, Singh, Aditya, Stein, Frederike, Strike, Lachlan T, van der Wee, Nic J A, van der Werff, Steven J A, Völzke, Henry, Waltemate, Lena, Whalley, Heather C, Wittfeld, Katharina, Wright, Margaret J., Yang, Tony T, Zarate, Carlos A, Schmaal, Lianne, Rentería, Miguel E, other, and, Campos, Adrian I, Thompson, Paul M., Veltman, Dick J, Pozzi, Elena, van Veltzen, Laura S, Jahanshad, Neda, Adams, Mark J, Baune, Bernhard T, Berger, Klaus, Brosch, Katharina, Bülow, Robin, Connolly, Colm G, Dannlowski, Udo, Davey, Christopher G, de Zubicaray, Greig I, Dima, Danai, Erwin-Grabner, Tracy, Evans, Jennifer W, Fu, Cynthia H Y, Gotlib, Ian H, Goya-Maldonado, Roberto, Grabe, Hans J, Grotegerd, Dominik, Harris, Matthew A, Harrison, Ben J, Hatton, Sean N, Hermesdorf, Marco, Hickie, Ian B, Ho, Tiffany C, Kircher, Tilo, Krug, Axel, Lagopoulos, Jim, Lemke, Hannah, McMahon, Katie, MacMaster, Frank P, Martin, Nicholas G, McIntosh, Andrew M, Medland, Sarah E, Meinert, Susanne, Meller, Tina, Nenadic, Igor, Opel, Nils, Redlich, Ronny, Reneman, Liesbeth, Repple, Jonathan, Sacchet, Matthew D, Schmitt, Simon, Schrantee, Anouk, Sim, Kang, Singh, Aditya, Stein, Frederike, Strike, Lachlan T, van der Wee, Nic J A, van der Werff, Steven J A, Völzke, Henry, Waltemate, Lena, Whalley, Heather C, Wittfeld, Katharina, Wright, Margaret J., Yang, Tony T, Zarate, Carlos A, Schmaal, Lianne, Rentería, Miguel E, and other, and

Abstract

Background: Neuroimaging studies of suicidal behavior have so far been conducted in small samples, prone to biases and false-positive associations, yielding inconsistent results. The ENIGMA-MDD Working Group aims to address the issues of poor replicability and comparability by coordinating harmonized analyses across neuroimaging studies of major depressive disorder and related phenotypes, including suicidal behavior. Methods: Here, we pooled data from 18 international cohorts with neuroimaging and clinical measurements in 18,925 participants (12,477 healthy control subjects and 6448 people with depression, of whom 694 had attempted suicide). We compared regional cortical thickness and surface area and measures of subcortical, lateral ventricular, and intracranial volumes between suicide attempters, clinical control subjects (nonattempters with depression), and healthy control subjects. Results: We identified 25 regions of interest with statistically significant (false discovery rate < .05) differences between groups. Post hoc examinations identified neuroimaging markers associated with suicide attempt including smaller volumes of the left and right thalamus and the right pallidum and lower surface area of the left inferior parietal lobe. Conclusions: This study addresses the lack of replicability and consistency in several previously published neuroimaging studies of suicide attempt and further demonstrates the need for well-powered samples and collaborative efforts. Our results highlight the potential involvement of the thalamus, a structure viewed historically as a passive gateway in the brain, and the pallidum, a region linked to reward response and positive affect. Future functional and connectivity studies of suicidal behaviors may focus on understanding how these regions relate to the neurobiological mechanisms of suicide attempt risk.

Published
2021

25. Brain aging in major depressive disorder: Results from the ENIGMA major depressive disorder working group

Author

Han, Laura K M, Dinga, Richard, Hahn, Tim, Ching, Christopher R K, Eyler, Lisa T, Aftanas, Lyubomir, Aghajani, Moji, Aleman, André, Baune, Bernhard T, Berger, Klaus, Brak, Ivan, Filho, Geraldo Busatto, Carballedo, Angela, Connolly, Colm G, Couvy-Duchesne, Baptiste, Cullen, Kathryn R, Dannlowski, Udo, Davey, Christopher G, Dima, Danai, Duran, Fabio L S, Enneking, Verena, Filimonova, Elena, Frenzel, Stefan, Frodl, Thomas, Fu, Cynthia H Y, Godlewska, Beata R, Gotlib, Ian H, Grabe, Hans J, Groenewold, Nynke A, Grotegerd, Dominik, Gruber, Oliver, Hall, Geoffrey B, Harrison, Ben J, Hatton, Sean N, Hermesdorf, Marco, Hickie, Ian B, Ho, Tiffany C, Hosten, Norbert, Jansen, Andreas, Kähler, Claas, Kircher, Tilo, Klimes-Dougan, Bonnie, Krämer, Bernd, Krug, Axel, Lagopoulos, Jim, Leenings, Ramona, MacMaster, Frank P, MacQueen, Glenda, McIntosh, Andrew, McLellan, Quinn, McMahon, Katie L, Medland, Sarah E, Mueller, Bryon A, Mwangi, Benson, Osipov, Evgeny, Portella, Maria J, Pozzi, Elena, Reneman, Liesbeth, Repple, Jonathan, Rosa, Pedro G P, Sacchet, Matthew D, Sämann, Philipp G, Schnell, Knut, Schrantee, Anouk, Simulionyte, Egle, Soares, Jair C, Sommer, Jens, Stein, Dan J, Steinsträter, Olaf, Strike, Lachlan T, Thomopoulos, Sophia I, van Tol, Marie-José, Veer, Ilya M, Vermeiren, Robert R J M, Walter, Henrik, van der Wee, Nic J A, van der Werff, Steven J A, Whalley, Heather, Winter, Nils R, Wittfeld, Katharina, Wright, Margaret J, Wu, Mon-Ju, Völzke, Henry, Yang, Tony T, Zannias, Vasileios, de Zubicaray, Greig I, Zunta-Soares, Giovana B, Abé, Christoph, Alda, Martin, Andreassen, Ole A, Bøen, Erlend, Bonnin, Caterina M, Canales-Rodriguez, Erick J, Cannon, Dara, Caseras, Xavier, Chaim-Avancini, Tiffany M, Elvsåshagen, Torbjørn, Favre, Pauline, Foley, Sonya F, Fullerton, Janice M, Goikolea, Jose M, Haarman, Bartholomeus C M, Hajek, Tomas, Henry, Chantal, Houenou, Josselin, Howells, Fleur M, Ingvar, Martin, Kuplicki, Rayus, Lafer, Beny, Landén, Mikael, Machado-Vieira, Rodrigo, Malt, Ulrik F, McDonald, Colm, Mitchell, Philip B, Nabulsi, Leila, Otaduy, Maria Concepcion Garcia, Overs, Bronwyn J, Polosan, Mircea, Pomarol-Clotet, Edith, Radua, Joaquim, Rive, Maria M, Roberts, Gloria, Ruhe, Henricus G, Salvador, Raymond, Sarró, Salvador, Satterthwaite, Theodore D, Savitz, Jonathan, Schene, Aart H, Schofield, Peter R, Serpa, Mauricio H, Sim, Kang, Soeiro-de-Souza, Marcio Gerhardt, Sutherland, Ashley N, Temmingh, Henk S, Timmons, Garrett M, Uhlmann, Anne, Vieta, Eduard, Wolf, Daniel H, Zanetti, Marcus V, Jahanshad, Neda, Thompson, Paul M, Veltman, Dick J, Penninx, Brenda W J H, Marquand, Andre F, Cole, James H, Schmaal, Lianne, Han, Laura K M, Dinga, Richard, Hahn, Tim, Ching, Christopher R K, Eyler, Lisa T, Aftanas, Lyubomir, Aghajani, Moji, Aleman, André, Baune, Bernhard T, Berger, Klaus, Brak, Ivan, Filho, Geraldo Busatto, Carballedo, Angela, Connolly, Colm G, Couvy-Duchesne, Baptiste, Cullen, Kathryn R, Dannlowski, Udo, Davey, Christopher G, Dima, Danai, Duran, Fabio L S, Enneking, Verena, Filimonova, Elena, Frenzel, Stefan, Frodl, Thomas, Fu, Cynthia H Y, Godlewska, Beata R, Gotlib, Ian H, Grabe, Hans J, Groenewold, Nynke A, Grotegerd, Dominik, Gruber, Oliver, Hall, Geoffrey B, Harrison, Ben J, Hatton, Sean N, Hermesdorf, Marco, Hickie, Ian B, Ho, Tiffany C, Hosten, Norbert, Jansen, Andreas, Kähler, Claas, Kircher, Tilo, Klimes-Dougan, Bonnie, Krämer, Bernd, Krug, Axel, Lagopoulos, Jim, Leenings, Ramona, MacMaster, Frank P, MacQueen, Glenda, McIntosh, Andrew, McLellan, Quinn, McMahon, Katie L, Medland, Sarah E, Mueller, Bryon A, Mwangi, Benson, Osipov, Evgeny, Portella, Maria J, Pozzi, Elena, Reneman, Liesbeth, Repple, Jonathan, Rosa, Pedro G P, Sacchet, Matthew D, Sämann, Philipp G, Schnell, Knut, Schrantee, Anouk, Simulionyte, Egle, Soares, Jair C, Sommer, Jens, Stein, Dan J, Steinsträter, Olaf, Strike, Lachlan T, Thomopoulos, Sophia I, van Tol, Marie-José, Veer, Ilya M, Vermeiren, Robert R J M, Walter, Henrik, van der Wee, Nic J A, van der Werff, Steven J A, Whalley, Heather, Winter, Nils R, Wittfeld, Katharina, Wright, Margaret J, Wu, Mon-Ju, Völzke, Henry, Yang, Tony T, Zannias, Vasileios, de Zubicaray, Greig I, Zunta-Soares, Giovana B, Abé, Christoph, Alda, Martin, Andreassen, Ole A, Bøen, Erlend, Bonnin, Caterina M, Canales-Rodriguez, Erick J, Cannon, Dara, Caseras, Xavier, Chaim-Avancini, Tiffany M, Elvsåshagen, Torbjørn, Favre, Pauline, Foley, Sonya F, Fullerton, Janice M, Goikolea, Jose M, Haarman, Bartholomeus C M, Hajek, Tomas, Henry, Chantal, Houenou, Josselin, Howells, Fleur M, Ingvar, Martin, Kuplicki, Rayus, Lafer, Beny, Landén, Mikael, Machado-Vieira, Rodrigo, Malt, Ulrik F, McDonald, Colm, Mitchell, Philip B, Nabulsi, Leila, Otaduy, Maria Concepcion Garcia, Overs, Bronwyn J, Polosan, Mircea, Pomarol-Clotet, Edith, Radua, Joaquim, Rive, Maria M, Roberts, Gloria, Ruhe, Henricus G, Salvador, Raymond, Sarró, Salvador, Satterthwaite, Theodore D, Savitz, Jonathan, Schene, Aart H, Schofield, Peter R, Serpa, Mauricio H, Sim, Kang, Soeiro-de-Souza, Marcio Gerhardt, Sutherland, Ashley N, Temmingh, Henk S, Timmons, Garrett M, Uhlmann, Anne, Vieta, Eduard, Wolf, Daniel H, Zanetti, Marcus V, Jahanshad, Neda, Thompson, Paul M, Veltman, Dick J, Penninx, Brenda W J H, Marquand, Andre F, Cole, James H, and Schmaal, Lianne

Abstract

Major depressive disorder (MDD) is associated with an increased risk of brain atrophy, aging-related diseases, and mortality. We examined potential advanced brain aging in adult MDD patients, and whether this process is associated with clinical characteristics in a large multicenter international dataset. We performed a mega-analysis by pooling brain measures derived from T1-weighted MRI scans from 19 samples worldwide. Healthy brain aging was estimated by predicting chronological age (18-75 years) from 7 subcortical volumes, 34 cortical thickness and 34 surface area, lateral ventricles and total intracranial volume measures separately in 952 male and 1236 female controls from the ENIGMA MDD working group. The learned model coefficients were applied to 927 male controls and 986 depressed males, and 1199 female controls and 1689 depressed females to obtain independent unbiased brain-based age predictions. The difference between predicted "brain age" and chronological age was calculated to indicate brain-predicted age difference (brain-PAD). On average, MDD patients showed a higher brain-PAD of +1.08 (SE 0.22) years (Cohen's d = 0.14, 95% CI: 0.08-0.20) compared with controls. However, this difference did not seem to be driven by specific clinical characteristics (recurrent status, remission status, antidepressant medication use, age of onset, or symptom severity). This highly powered collaborative effort showed subtle patterns of age-related structural brain abnormalities in MDD. Substantial within-group variance and overlap between groups were observed. Longitudinal studies of MDD and somatic health outcomes are needed to further assess the clinical value of these brain-PAD estimates.

Published
2021

26. Serum neurofilament light and white matter characteristics in the general population: a longitudinal analysis

Author

Hermesdorf, Marco, Wulms, Niklas, Maceski, Aleksandra, Leppert, David, Benkert, Pascal, Wiendl, Heinz, Kuhle, Jens, and Berger, Klaus

Abstract

Neurofilament light polypeptide (NfL) is a component of the neuronal cytoskeleton and particularly abundant in large-caliber axons. When axonal injury occurs, NfL is released and reaches the cerebrospinal fluid and the blood. Associations between NfL and white matter alterations have previously been observed in studies based on patients with neurological diseases. The current study aimed to explore the relationship between serum NfL (sNfL) and white matter characteristics in a population-based sample. The cross-sectional associations between sNfL as dependent variable, fractional anisotropy (FA), and white matter lesion (WML) volume were analyzed with linear regression models in 307 community-dwelling adults aged between 35 and 65 years. These analyses were repeated with additional adjustment for the potential confounders age, sex, and body mass index (BMI). Longitudinal associations over a mean follow-up of 5.39 years were analyzed with linear mixed models. The unadjusted cross-sectional models yielded significant associations between sNfL, WML volume, and FA, respectively. However, after the adjustment for confounders, these associations did not reach significance. In the longitudinal analyses, the findings corroborated the baseline findings showing no significant associations between sNfL and white matter macrostructure and microstructure beyond the effects of age. In synopsis with previous studies in patients with acute neurological diseases showing a significant association of sNfL with white matter changes beyond the effects of age, the present results based on a sample from the general population suggest the perspective that changes in sNfL reflect age-related effects that also manifest in altered white matter macrostructure and microstructure.

Published
2023
Full Text
View/download PDF

29. Brain aging in major depressive disorder: results from the ENIGMA major depressive disorder working group

Author

Han, Laura K. M., primary, Dinga, Richard, additional, Hahn, Tim, additional, Ching, Christopher R. K., additional, Eyler, Lisa T., additional, Aftanas, Lyubomir, additional, Aghajani, Moji, additional, Aleman, André, additional, Baune, Bernhard T., additional, Berger, Klaus, additional, Brak, Ivan, additional, Filho, Geraldo Busatto, additional, Carballedo, Angela, additional, Connolly, Colm G., additional, Couvy-Duchesne, Baptiste, additional, Cullen, Kathryn R., additional, Dannlowski, Udo, additional, Davey, Christopher G., additional, Dima, Danai, additional, Duran, Fabio L. S., additional, Enneking, Verena, additional, Filimonova, Elena, additional, Frenzel, Stefan, additional, Frodl, Thomas, additional, Fu, Cynthia H. Y., additional, Godlewska, Beata R., additional, Gotlib, Ian H., additional, Grabe, Hans J., additional, Groenewold, Nynke A., additional, Grotegerd, Dominik, additional, Gruber, Oliver, additional, Hall, Geoffrey B., additional, Harrison, Ben J., additional, Hatton, Sean N., additional, Hermesdorf, Marco, additional, Hickie, Ian B., additional, Ho, Tiffany C., additional, Hosten, Norbert, additional, Jansen, Andreas, additional, Kähler, Claas, additional, Kircher, Tilo, additional, Klimes-Dougan, Bonnie, additional, Krämer, Bernd, additional, Krug, Axel, additional, Lagopoulos, Jim, additional, Leenings, Ramona, additional, MacMaster, Frank P., additional, MacQueen, Glenda, additional, McIntosh, Andrew, additional, McLellan, Quinn, additional, McMahon, Katie L., additional, Medland, Sarah E., additional, Mueller, Bryon A., additional, Mwangi, Benson, additional, Osipov, Evgeny, additional, Portella, Maria J., additional, Pozzi, Elena, additional, Reneman, Liesbeth, additional, Repple, Jonathan, additional, Rosa, Pedro G. P., additional, Sacchet, Matthew D., additional, Sämann, Philipp G., additional, Schnell, Knut, additional, Schrantee, Anouk, additional, Simulionyte, Egle, additional, Soares, Jair C., additional, Sommer, Jens, additional, Stein, Dan J., additional, Steinsträter, Olaf, additional, Strike, Lachlan T., additional, Thomopoulos, Sophia I., additional, van Tol, Marie-José, additional, Veer, Ilya M., additional, Vermeiren, Robert R. J. M., additional, Walter, Henrik, additional, van der Wee, Nic J. A., additional, van der Werff, Steven J. A., additional, Whalley, Heather, additional, Winter, Nils R., additional, Wittfeld, Katharina, additional, Wright, Margaret J., additional, Wu, Mon-Ju, additional, Völzke, Henry, additional, Yang, Tony T., additional, Zannias, Vasileios, additional, de Zubicaray, Greig I., additional, Zunta-Soares, Giovana B., additional, Abé, Christoph, additional, Alda, Martin, additional, Andreassen, Ole A., additional, Bøen, Erlend, additional, Bonnin, Caterina M., additional, Canales-Rodriguez, Erick J., additional, Cannon, Dara, additional, Caseras, Xavier, additional, Chaim-Avancini, Tiffany M., additional, Elvsåshagen, Torbjørn, additional, Favre, Pauline, additional, Foley, Sonya F., additional, Fullerton, Janice M., additional, Goikolea, Jose M., additional, Haarman, Bartholomeus C. M., additional, Hajek, Tomas, additional, Henry, Chantal, additional, Houenou, Josselin, additional, Howells, Fleur M., additional, Ingvar, Martin, additional, Kuplicki, Rayus, additional, Lafer, Beny, additional, Landén, Mikael, additional, Machado-Vieira, Rodrigo, additional, Malt, Ulrik F., additional, McDonald, Colm, additional, Mitchell, Philip B., additional, Nabulsi, Leila, additional, Otaduy, Maria Concepcion Garcia, additional, Overs, Bronwyn J., additional, Polosan, Mircea, additional, Pomarol-Clotet, Edith, additional, Radua, Joaquim, additional, Rive, Maria M., additional, Roberts, Gloria, additional, Ruhe, Henricus G., additional, Salvador, Raymond, additional, Sarró, Salvador, additional, Satterthwaite, Theodore D., additional, Savitz, Jonathan, additional, Schene, Aart H., additional, Schofield, Peter R., additional, Serpa, Mauricio H., additional, Sim, Kang, additional, Soeiro-de-Souza, Marcio Gerhardt, additional, Sutherland, Ashley N., additional, Temmingh, Henk S., additional, Timmons, Garrett M., additional, Uhlmann, Anne, additional, Vieta, Eduard, additional, Wolf, Daniel H., additional, Zanetti, Marcus V., additional, Jahanshad, Neda, additional, Thompson, Paul M., additional, Veltman, Dick J., additional, Penninx, Brenda W. J. H., additional, Marquand, Andre F., additional, Cole, James H., additional, and Schmaal, Lianne, additional

Published
2020
Full Text
View/download PDF

30. ENIGMA MDD: Seven Years of Global Neuroimaging Studies of Major Depression through Worldwide Data Sharing

Author

Schmaal, Lianne, primary, Pozzi, Elena, additional, Ho, Tiffany, additional, van Velzen, Laura S., additional, Veer, Ilya, additional, Opel, Nils, additional, Van Someren, Eus, additional, Han, Laura K. M., additional, Aftanas, Lybomir, additional, Aleman, Andre, additional, Baune, Bernhard T., additional, Berger, Klaus, additional, Blanken, Tessa, additional, Capitao, Liliana, additional, Couvy-Duchesne, Baptiste, additional, Cullen, Kathryn R., additional, Dannlowski, Udo, additional, Davey, Christopher, additional, Erwin-Grabner, Tracy, additional, Evans, Jennifer, additional, Frodl, Thomas, additional, Fu, Cynthia H.Y., additional, Godlewska, Beata, additional, Gotlib, Ian, additional, Goya-Maldonado, Roberto, additional, Grabe, Hans J., additional, Groenewold, Nynke A., additional, Grotegerd, Dominik, additional, Gruber, Oliver, additional, Gutman, Boris A., additional, Hall, Geoffrey, additional, Harrison, Ben, additional, Hatton, Sean N, additional, Hermesdorf, Marco, additional, Hickie, Ian, additional, Hilland, Eva, additional, Irungu, Benson, additional, Jonassen, Rune, additional, Kelly, Sinead, additional, Kircher, Tilo, additional, Klimes-Dougan, Bonnie, additional, Krug, Axel, additional, Landrø, Nils Inge, additional, Lagopoulos, Jim, additional, Leerssen, Jeanne, additional, Li, Meng, additional, Linden, David, additional, MacMaster, Frank, additional, Mcintosh, Andrew, additional, Mehler, David Marc Anton, additional, Nenadic, Igor, additional, Penninx, Brenda, additional, Portella, Maria, additional, Reneman, Liesbeth, additional, Rentería, Miguel E., additional, Sacchet, Matthew, additional, Sämann, Philipp Gero, additional, Schrantee, Anouk, additional, Sim, Kang, additional, Soares, Jair, additional, Stein, Dan J., additional, Tozzi, Leonardo, additional, van der Wee, Nic, additional, van Tol, Marie-José, additional, Vermeiren, Robert, additional, Vives-Gilabert, Yolanda, additional, Walter, Henrik, additional, Walter, Martin, additional, Whalley, Heather C, additional, Wittfeld, Katharina, additional, Whittle, Sarah, additional, Wright, Margaret J., additional, Yang, Tony, additional, Zarate, Carlos A., additional, Thomopoulos, Sophia I, additional, Jahanshad, Neda, additional, Thompson, Paul, additional, and Veltman, Dick, additional

Published
2019
Full Text
View/download PDF

31. Brain Aging in Major Depressive Disorder: Results from the ENIGMA Major Depressive Disorder working group

Author

Han, Laura K M, primary, Dinga, Richard, additional, Hahn, Tim, additional, Ching, Christopher R K, additional, Eyler, Lisa T, additional, Aftanas, Lyubomir, additional, Aghajani, Moji, additional, Aleman, André, additional, Baune, Bernhard T, additional, Berger, Klaus, additional, Brak, Ivan, additional, Filho, Geraldo Busatto, additional, Carballedo, Angela, additional, Connolly, Colm G, additional, Couvy-Duchesne, Baptiste, additional, Cullen, Kathryn, additional, Dannlowski, Udo, additional, Davey, Christopher G, additional, Dima, Danai, additional, Duran, Fabio L S, additional, Enneking, Verena, additional, Filimonova, Elena, additional, Frenzel, Stefan, additional, Frodl, Thomas, additional, Fu, Cynthia H Y, additional, Godlewska, Beata R, additional, Gotlib, Ian H, additional, Grabe, Hans J, additional, Groenewold, Nynke A, additional, Grotegerd, Dominik, additional, Gruber, Oliver, additional, Hall, Geoffrey B, additional, Harrison, Ben J, additional, Hatton, Sean N, additional, Hermesdorf, Marco, additional, Hickie, Ian B, additional, Ho, Tiffany C, additional, Hosten, Norbert, additional, Jansen, Andreas, additional, Kähler, Claas, additional, Kircher, Tilo, additional, Klimes-Dougan, Bonnie, additional, Krämer, Bernd, additional, Krug, Axel, additional, Lagopoulos, Jim, additional, Leenings, Ramona, additional, MacMaster, Frank P, additional, MacQueen, Glenda, additional, McIntosh, Andrew, additional, McLellan, Quinn, additional, McMahon, Katie L, additional, Medland, Sarah E, additional, Mueller, Bryon A, additional, Mwangi, Benson, additional, Osipov, Evgeny, additional, Portella, Maria J, additional, Pozzi, Elena, additional, Reneman, Liesbeth, additional, Repple, Jonathan, additional, Rosa, Pedro G P, additional, Sacchet, Matthew D, additional, Sämann, Philipp G, additional, Schnell, Knut, additional, Schrantee, Anouk, additional, Simulionyte, Egle, additional, Soares, Jair C, additional, Sommer, Jens, additional, Stein, Dan J, additional, Steinsträter, Olaf, additional, Strike, Lachlan T, additional, Thomopoulos, Sophia I, additional, van Tol, Marie-José, additional, Veer, Ilya M, additional, Vermeiren, Robert R J M, additional, Walter, Henrik, additional, van der Wee, Nic J A, additional, van der Werff, Steven J A, additional, Whalley, Heather, additional, Winter, Nils R, additional, Wittfeld, Katharina, additional, Wright, Margaret J, additional, Wu, Mon-Ju, additional, Völzke, Henry, additional, Yang, Tony T, additional, Zannias, Vasileios, additional, Zubicaray, Greig I de, additional, Zunta-Soares, Giovana B, additional, Abé, Christoph, additional, Alda, Martin, additional, Andreassen, Ole A, additional, Bøen, Erlend, additional, Bonnin, Caterina M, additional, Canales-Rodriguez, Erick J, additional, Cannon, Dara, additional, Caseras, Xavier, additional, Chaim-Avancini, Tiffany M, additional, Elvsåshagen, Torbjørn, additional, Favre, Pauline, additional, Foley, Sonya F, additional, Fullerton, Janice M, additional, Goikolea, Jose M, additional, Haarman, Bartholomeus C M, additional, Hajek, Tomas, additional, Henry, Chantal, additional, Houenou, Josselin, additional, Howells, Fleur M, additional, Ingvar, Martin, additional, Kuplicki, Rayus, additional, Lafer, Beny, additional, Landén, Mikael, additional, Machado-Vieira, Rodrigo, additional, Malt, Ulrik F, additional, McDonald, Colm, additional, Mitchell, Philip B, additional, Nabulsi, Leila, additional, Otaduy, Maria Concepcion Garcia, additional, Overs, Bronwyn J, additional, Polosan, Mircea, additional, Pomarol-Clotet, Edith, additional, Radua, Joaquim, additional, Rive, Maria M, additional, Roberts, Gloria, additional, Ruhe, Henricus G, additional, Salvador, Raymond, additional, Sarró, Salvador, additional, Satterthwaite, Theodore D, additional, Savitz, Jonathan, additional, Schene, Aart H, additional, Schofield, Peter R, additional, Serpa, Mauricio H, additional, Sim, Kang, additional, Soeiro-de-Souza, Marcio Gerhardt, additional, Sutherland, Ashley N, additional, Temmingh, Henk S, additional, Timmons, Garrett M, additional, Uhlmann, Anne, additional, Vieta, Eduard, additional, Wolf, Daniel H, additional, Zanetti, Marcus V, additional, Jahanshad, Neda, additional, Thompson, Paul M, additional, Veltman, Dick J, additional, Penninx, Brenda W J H, additional, Marquand, Andre F, additional, Cole, James H, additional, and Schmaal, Lianne, additional

Published
2019
Full Text
View/download PDF

36. Major depressive disorder: Findings of reduced homotopic connectivity and investigation of underlying structural mechanisms.

Author

Hermesdorf, Marco, Sundermann, Benedikt, Feder, Stephan, Schwindt, Wolfram, Minnerup, Jens, Arolt, Volker, Berger, Klaus, Pfleiderer, Bettina, and Wersching, Heike

Abstract

Depression has been associated with various alterations in magnetic resonance imaging (MRI) derived resting-state functional connectivity. Recently, homotopic connectivity, defined as functional connectivity between homotopic regions across hemispheres, has been reported to be reduced in patients with major depressive disorder (MDD). However, little is known about structural factors underlying alterations of homotopic connectivity, which would contribute to the understanding of the altered neurophysiological architecture in patients with MDD. We compared 368 patients with MDD and 461 never-depressed controls regarding voxel-mirrored homotopic connectivity (VMHC) and potential underlying mechanisms such as the structural connectivity of the corpus callosum, measured by DTI-derived fractional anisotropy (FA), and left-right symmetries in homotopic gray matter volumes. Compared to controls, patients with MDD exhibited reduced VMHC in the cuneus, putamen, superior temporal gyrus, insula, and precuneus. Within these regions, no differences in left-right symmetries in homotopic gray matter volumes were evident across cohorts. FA of the corpus callosum correlated with VMHC in the entire sample. However, patients with MDD and controls did not differ with regard to callosal FA. The findings indicate that MDD is associated with a loss of interhemispheric synchrony in regions known to be implicated in self-referential and reward processing. They also suggest that additional mechanisms are implicated in altered homotopic connectivity of patients with MDD, other than direct callosal fiber pathways or asymmetries in homotopic gray matter volumes. Hum Brain Mapp 37:1209-1217, 2016. © 2015 Wiley Periodicals, Inc. [ABSTRACT FROM AUTHOR]

Published
2016
Full Text
View/download PDF

37. The role of educational attainment and brain morphology in major depressive disorder: Findings from the ENIGMA major depressive disorder consortium

Author

Sarah Whittle, Divyangana Rakesh, Lianne Schmaal, Dick J. Veltman, Paul M. Thompson, Aditya Singh, Ali Saffet Gonul, Andre Aleman, Aslıhan Uyar Demir, Axel Krug, Benson Mwangi, Bernd Krämer, Bernhard T. Baune, Dan J. Stein, Dominik Grotegerd, Edith Pomarol-Clotet, Elena Rodríguez-Cano, Elisa Melloni, Francesco Benedetti, Frederike Stein, Hans J. Grabe, Henry Völzke, Ian H. Gotlib, Igor Nenadić, Jair C. Soares, Jonathan Repple, Kang Sim, Katharina Brosch, Katharina Wittfeld, Klaus Berger, Marco Hermesdorf, Maria J. Portella, Matthew D. Sacchet, Mon-Ju Wu, Nils Opel, Nynke A. Groenewold, Oliver Gruber, Paola Fuentes-Claramonte, Raymond Salvador, Roberto Goya-Maldonado, Salvador Sarró, Sara Poletti, Susanne L. Meinert, Tilo Kircher, Udo Dannlowski, Elena Pozzi, Whittle, Sarah, Rakesh, Divyangana, Schmaal, Lianne, Veltman, Dick J., Thompson, Paul M., Singh, Aditya, Gonul, Ali Saffet, Aleman, Andre, Uyar Demir, Aslıhan, Krug, Axel, Mwangi, Benson, Krämer, Bernd, Baune, Bernhard T., Stein, Dan J., Grotegerd, Dominik, Pomarol-Clotet, Edith, Rodríguez-Cano, Elena, Melloni, Elisa, Benedetti, Francesco, Stein, Frederike, Grabe, Hans J., Völzke, Henry, Gotlib, Ian H., Nenadić, Igor, Soares, Jair C., Repple, Jonathan, Sim, Kang, Brosch, Katharina, Wittfeld, Katharina, Berger, Klau, Hermesdorf, Marco, Portella, Maria J., Sacchet, Matthew D., Wu, Mon-Ju, Opel, Nil, Groenewold, Nynke A., Gruber, Oliver, Fuentes-Claramonte, Paola, Salvador, Raymond, Goya-Maldonado, Roberto, Sarró, Salvador, Poletti, Sara, Meinert, Susanne L., Kircher, Tilo, Dannlowski, Udo, and Pozzi, Elena

Subjects
Adult, Depressive Disorder, Major, Brain, Educational Status, Humans, Magnetic Resonance Imaging, Frontal Lobe
Abstract

Brain structural abnormalities and low educational attainment are consistently associated with major depressive disorder (MDD), yet there has been little research investigating the complex interaction of these factors. Brain structural alterations may represent a vulnerability or differential susceptibility marker, and in the context of low educational attainment, predict MDD. We tested this moderation model in a large multisite sample of 1958 adults with MDD and 2921 controls (aged 18 to 86) from the ENIGMA MDD working group. Using generalized linear mixed models and within-sample split-half replication, we tested whether brain structure interacted with educational attainment to predict MDD status. Analyses revealed that cortical thickness in a number of occipital, parietal, and frontal regions significantly interacted with education to predict MDD. For the majority of regions, models suggested a differential susceptibility effect, whereby thicker cortex was more likely to predict MDD in individuals with low educational attainment, but less likely to predict MDD in individuals with high educational attainment. Findings suggest that greater thickness of brain regions subserving visuomotor and social-cognitive functions confers susceptibility to MDD, dependent on level of educational attainment. Longitudinal work, however, is ultimately needed to establish whether cortical thickness represents a preexisting susceptibility marker. (PsycInfo Database Record (c) 2022 APA, all rights reserved).

Published
2022

38. Serum Glial Fibrillary Acidic Protein and Neurofilament Light Chain Levels Reflect Different Mechanisms of Disease Progression under B-Cell Depleting Treatment in Multiple Sclerosis.

Author

Benkert P, Maleska Maceski A, Schaedelin S, Oechtering J, Zadic A, Vilchez Gomez JF, Melie-Garcia L, Cagol A, Galbusera R, Subramaniam S, Lorscheider J, Galli E, Mueller J, Fischer-Barnicol B, Achtnichts L, Findling O, Lalive PH, Bridel C, Uginet M, Müller S, Pot C, Mathias A, Du Pasquier R, Salmen A, Hoepner R, Chan A, Disanto G, Zecca C, D'Souza M, Hemkens LG, Yaldizli Ö, Derfuss T, Roth P, Gobbi C, Brassat D, Tackenberg B, Pedotti R, Raposo C, Oksenberg J, Wiendl H, Berger K, Hermesdorf M, Piehl F, Conen D, Buser A, Kappos L, Khalil M, Granziera C, Abdelhak A, Leppert D, Willemse EAJ, and Kuhle J

Abstract

Objective: To investigate the longitudinal dynamics of serum glial fibrillary acidic protein (sGFAP) and serum neurofilament light chain (sNfL) levels in people with multiple sclerosis (pwMS) under B-cell depleting therapy (BCDT) and their capacity to prognosticate future progression independent of relapse activity (PIRA) events., Methods: A total of 362 pwMS (1,480 samples) starting BCDT in the Swiss Multiple Sclerosis (MS) Cohort were included. sGFAP levels in 2,861 control persons (4,943 samples) provided normative data to calculate adjusted Z scores., Results: Elevated sGFAP levels (Z score >1) at 1 year were associated with a higher hazard for PIRA (hazard ratio [HR]: 1.80 [95% CI: 1.17-2.78]; p = 0.0079) than elevated sNfL levels (HR, 1.45 [0.95-2.24], p = 0.0886) in a combined model. Independent of PIRA events, sGFAP levels longitudinally increased by 0.49 Z score units per 10 years follow-up (estimate, 0.49 [0.29, 0.69], p < 0.0001). In patients experiencing PIRA, sGFAP Z scores were 0.52 Z score units higher versus stable patients (0.52 [0.22, 0.83], p = 0.0009). Different sNfL Z score trajectories were found in pwMS with versus without PIRA (interaction p = 0.0028), with an average decrease of 0.92 Z score units per 10 years observed without PIRA (-0.92 [-1.23, -0.60], p < 0.0001), whereas levels in patients with PIRA remained high., Interpretation: Elevated sGFAP and lack of drop in sNfL after BCDT start are associated with increased risk of future PIRA. These findings provide a rationale for combined monitoring of sNfL and sGFAP in pwMS starting BCDT to predict the risk of PIRA, and to use sGFAP as an outcome in clinical trials aiming to impact on MS progressive disease biology. ANN NEUROL 2024., (© 2024 The Author(s). Annals of Neurology published by Wiley Periodicals LLC on behalf of American Neurological Association.)

Published
2024
Full Text
View/download PDF

Catalog

Books, media, physical & digital resources
See catalog results