Výsledky vyhledávání - "Lea Teutenberg"

Akademický článek

Brain structural associations of syntactic complexity and diversity across schizophrenia spectrum and major depressive disorders, and healthy controls

Autor: Katharina Schneider, Nina Alexander, Andreas Jansen, Igor Nenadić, Benjamin Straube, Lea Teutenberg, Florian Thomas-Odenthal, Paula Usemann, Udo Dannlowski, Tilo Kircher, Arne Nagels, Frederike Stein

Publikováno v: Schizophrenia, Vol 10, Iss 1, Pp 1-10 (2024)

Abstract Deviations in syntax production have been well documented in schizophrenia spectrum disorders (SSD). Recently, we have shown evidence for transdiagnostic subtypes of syntactic complexity and diversity. However, there is a lack of studies exp

Externí odkaz: https://doaj.org/article/bb47e5545c1b427989bf960bba524639

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Akademický článek

Neurostructural subgroup in 4291 individuals with schizophrenia identified using the subtype and stage inference algorithm

Autor: Yuchao Jiang, Cheng Luo, Jijun Wang, Lena Palaniyappan, Xiao Chang, Shitong Xiang, Jie Zhang, Mingjun Duan, Huan Huang, Christian Gaser, Kiyotaka Nemoto, Kenichiro Miura, Ryota Hashimoto, Lars T. Westlye, Genevieve Richard, Sara Fernandez-Cabello, Nadine Parker, Ole A. Andreassen, Tilo Kircher, Igor Nenadić, Frederike Stein, Florian Thomas-Odenthal, Lea Teutenberg, Paula Usemann, Udo Dannlowski, Tim Hahn, Dominik Grotegerd, Susanne Meinert, Rebekka Lencer, Yingying Tang, Tianhong Zhang, Chunbo Li, Weihua Yue, Yuyanan Zhang, Xin Yu, Enpeng Zhou, Ching-Po Lin, Shih-Jen Tsai, Amanda L. Rodrigue, David Glahn, Godfrey Pearlson, John Blangero, Andriana Karuk, Edith Pomarol-Clotet, Raymond Salvador, Paola Fuentes-Claramonte, María Ángeles Garcia-León, Gianfranco Spalletta, Fabrizio Piras, Daniela Vecchio, Nerisa Banaj, Jingliang Cheng, Zhening Liu, Jie Yang, Ali Saffet Gonul, Ozgul Uslu, Birce Begum Burhanoglu, Aslihan Uyar Demir, Kelly Rootes-Murdy, Vince D. Calhoun, Kang Sim, Melissa Green, Yann Quidé, Young Chul Chung, Woo-Sung Kim, Scott R. Sponheim, Caroline Demro, Ian S. Ramsay, Felice Iasevoli, Andrea de Bartolomeis, Annarita Barone, Mariateresa Ciccarelli, Arturo Brunetti, Sirio Cocozza, Giuseppe Pontillo, Mario Tranfa, Min Tae M. Park, Matthias Kirschner, Foivos Georgiadis, Stefan Kaiser, Tamsyn E. Van Rheenen, Susan L. Rossell, Matthew Hughes, William Woods, Sean P. Carruthers, Philip Sumner, Elysha Ringin, Filip Spaniel, Antonin Skoch, David Tomecek, Philipp Homan, Stephanie Homan, Wolfgang Omlor, Giacomo Cecere, Dana D. Nguyen, Adrian Preda, Sophia I. Thomopoulos, Neda Jahanshad, Long-Biao Cui, Dezhong Yao, Paul M. Thompson, Jessica A. Turner, Theo G. M. van Erp, Wei Cheng, ENIGMA Schizophrenia Consortium, Jianfeng Feng, ZIB Consortium

Publikováno v: Nature Communications, Vol 15, Iss 1, Pp 1-15 (2024)

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 su

Externí odkaz: https://doaj.org/article/76bdd81832814fb8a0f1d01e09c35de4

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Syntactic complexity and diversity of spontaneous speech production in schizophrenia spectrum and major depressive disorders

Autor: Katharina Schneider, Katrin Leinweber, Hamidreza Jamalabadi, Lea Teutenberg, Katharina Brosch, Julia-Katharina Pfarr, Florian Thomas-Odenthal, Paula Usemann, Adrian Wroblewski, Benjamin Straube, Nina Alexander, Igor Nenadić, Andreas Jansen, Axel Krug, Udo Dannlowski, Tilo Kircher, Arne Nagels, Frederike Stein

Publikováno v: Schizophrenia. 9

Syntax, the grammatical structure of sentences, is a fundamental aspect of language. It remains debated whether reduced syntactic complexity is unique to schizophrenia spectrum disorder (SSD) or whether it is also present in major depressive disorder

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::19c3c413f6921c0a45cf967f34d99eee
https://doi.org/10.1038/s41537-023-00359-8

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Cross-validation for the estimation of effect size generalizability in mass-univariate brain-wide association studies

IntroductionStatistical effect sizes are systematically overestimated in small samples, leading to poor generalizability and replicability of findings in all areas of research. Due to the large number of variables, this is particularly problematic in

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::c95bf4d4d94ac0766c047e37aac1faed
https://doi.org/10.1101/2023.03.29.534696

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A Systematic Evaluation of Machine Learning-based Biomarkers for Major Depressive Disorder across Modalities

BackgroundBiological psychiatry aims to understand mental disorders in terms of altered neurobiological pathways. However, for one of the most prevalent and disabling mental disorders, Major Depressive Disorder (MDD), patients only marginally differ

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::a0dd7ef9c4c707d4880475e7269c5c6b
https://doi.org/10.1101/2023.02.27.23286311

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A complex systems model of temporal fluctuations in depressive symptomatology

Autor: Hamidreza Jamalabadi, Stefan G. Hofmann, Lea Teutenberg, Daniel Emden, Janik Goltermann, Verena Enneking, Susanne Meinert, Katharina Koch, Elisabeth Leehr, Frederike Stein, Katharina Brosch, Jonathan Repple, Igor Nenadić, Udo Dannlowski, Tilo Kircher, Nils Opel, Tim Hahn

Symptom fluctuation is one of the hallmarks of major depression. However, a principled, quantitative framework explaining when and how symptoms change remains elusive. Following a complex systems perspective, we model clusters of depressive symptomat

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::81cca10ff051ff86e0846771877de853
https://doi.org/10.31234/osf.io/fm76b

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