0 Datasets
0 Files
Get instant academic access to this publication’s datasets.
Yes. After verification, you can browse and download datasets at no cost. Some premium assets may require author approval.
Files are stored on encrypted storage. Access is restricted to verified users and all downloads are logged.
Yes, message the author after sign-up to request supplementary files or replication code.
Join 50,000+ researchers worldwide. Get instant access to peer-reviewed datasets, advanced analytics, and global collaboration tools.
✓ Immediate verification • ✓ Free institutional access • ✓ Global collaborationJoin our academic network to download verified datasets and collaborate with researchers worldwide.
Get Free AccessTourette syndrome (TS) is characterized by multiple motor and vocal tics, and high-comorbidity rates with other neuropsychiatric disorders. Obsessive compulsive disorder (OCD), attention deficit hyperactivity disorder (ADHD), autism spectrum disorders (ASDs), major depressive disorder (MDD), and anxiety disorders (AXDs) are among the most prevalent TS comorbidities. To date, studies on TS brain structure and function have been limited in size with efforts mostly fragmented. This leads to low-statistical power, discordant results due to differences in approaches, and hinders the ability to stratify patients according to clinical parameters and investigate comorbidity patterns. Here, we present the scientific premise, perspectives, and key goals that have motivated the establishment of the Enhancing Neuroimaging Genetics through Meta-Analysis for TS (ENIGMA-TS) working group. The ENIGMA-TS working group is an international collaborative effort bringing together a large network of investigators who aim to understand brain structure and function in TS and dissect the underlying neurobiology that leads to observed comorbidity patterns and clinical heterogeneity. Previously collected TS neuroimaging data will be analyzed jointly and integrated with TS genomic data, as well as equivalently large and already existing studies of highly comorbid OCD, ADHD, ASD, MDD, and AXD. Our work highlights the power of collaborative efforts and transdiagnostic approaches, and points to the existence of different TS subtypes. ENIGMA-TS will offer large-scale, high-powered studies that will lead to important insights toward understanding brain structure and function and genetic effects in TS and related disorders, and the identification of biomarkers that could help inform improved clinical practice.
Peristera Paschou, Yin Jin, Kirsten Müller‐Vahl, Harald E. Möller, Renata Rizzo, Pieter J. Hoekstra, Veit Roessner, Nanette Mol Debes, Yulia Worbe, Andreas Hartmann, Pablo Mir, Daniëlle C. Cath, Irene Neuner, Heike Eichele, Chencheng Zhang, Katarzyna Lewandowska, Alexander Münchau, Julius Verrel, Richard Musil, Timothy J. Silk, Colleen A. Hanlon, Emily D. Bihun, Valerie Brandt, Andrea Dietrich, Natalie J. Forde, Christos Ganos, Deanna J. Greene, Chunguang Chu, Michel J. Grothe, Tamara Hershey, Piotr Janik, Jonathan M. Koller, Juan Francisco Martin‐Rodríguez, Karsten Müller, Stefano Palmucci, Adriana Prato, Shukti Ramkiran, Federica Saia, Natalia Szejko, Renzo Torrecuso, Zeynep Tümer, Anne Uhlmann, Tanja Veselinović, Tomasz Wolańczyk, Jade‐Jocelyne Zouki, Pritesh Jain, Apostolia Topaloudi, Mary Oluwatosin Kaka, Zhiyu Yang, Petros Drineas, Sophia I. Thomopoulos, Tonya White, Dick J. Veltman, Lianne Schmaal, Dan Joseph Stein, Jan K. Buitelaar, Barbara Franke, Odile A. van den Heuvel, Neda Jahanshad, Paul M. Thompson, Kevin J. Black (2022). Enhancing neuroimaging genetics through meta-analysis for Tourette syndrome (ENIGMA-TS): A worldwide platform for collaboration. , 13, DOI: https://doi.org/10.3389/fpsyt.2022.958688.
Datasets shared by verified academics with rich metadata and previews.
Authors choose access levels; downloads are logged for transparency.
Students and faculty get instant access after verification.
Type
Article
Year
2022
Authors
61
Datasets
0
Total Files
0
Language
en
DOI
https://doi.org/10.3389/fpsyt.2022.958688
Access datasets from 50,000+ researchers worldwide with institutional verification.
Get Free Access