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 AccessThis work offers the most comprehensive atlas of GMV correlates across major mental disorders. Modeling co-occurring disorders yielded more specific correlates, supporting this approach's validity. The atlas NIfTI maps are available online.
Lydia Fortea, María Ortuño, Michele De Prisco, Vincenzo Oliva, Anton Albajes‐Eizagirre, Adriana Fortea, Santiago Madero, Aleix Solanes, Enric Vilajosana, Yuan‐Wei Yao, Lorenzo Del Fabro, Eduard Solé‐González, Norma Verdolini, Àlvar Farré‐Colomés, Maria Serra-Blasco, Maria Picó‐Pérez, Steve Lukito, Toby Wise, Christina Carlisi, Danilo Arnone, Matthew J. Kempton, Alexander O. Hauson, Scott C. Wollman, Carles Soriano‐Mas, Katya Rubia, Luke Norman, Paolo Fusar‐Poli, David Mataix‐Cols, Marc Valentí, Esther Via, Narcı́s Cardoner, Marco Solmi, Jintao Zhang, PingLei Pan, Jae Il Shin, Miquel À. Fullana, Eduard Vieta, Joaquim Raduà (2024). Atlas of Gray Matter Volume Differences Across Psychiatric Conditions: A Systematic Review With a Novel Meta-Analysis That Considers Co-Occurring Disorders. , 98(1), DOI: https://doi.org/10.1016/j.biopsych.2024.10.020.
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
2024
Authors
38
Datasets
0
Total Files
0
Language
en
DOI
https://doi.org/10.1016/j.biopsych.2024.10.020
Access datasets from 50,000+ researchers worldwide with institutional verification.
Get Free Access
