Brain-based classification of youth with anxiety disorders: transdiagnostic examinations within the ENIGMA-Anxiety database using machine learning

Aug 5, 2026

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Research on brain-based markers for anxiety in young people focuses on extracting transdiagnostic patterns across disorders. The work presents a machine-learning approach applied within the ENIGMA-Anxiety database to evaluate diagnostic-relevant brain-based classification and case-control examinations. The study leverages a large, multi-site dataset and integrates methodological pipelines for modeling and validating predictive patterns, aiming to improve how anxiety-related heterogeneity is characterized using neuroimaging-derived features.

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Pages23

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EUR Research Information Portal Brain-based classification of youth with anxiety disorders: transdiagnostic examinations within the ENIGMA-Anxiety database using machine learning Published in: Nature Mental Health Publication status and date: Published: 10/01/2024 DOI (link to publisher): 10.1038/s44220-023-00173-2 Document Version Publisher's PDF, also known as Version of record Document License/Available under: Article 25fa Dutch Copyright Act Citation for the published version (APA): Bruin, W. B. , Zhutovsky, P. , van Wingen, G. A. , Bas-Hoogendam, J. M. , Groenewold, N. A. , Hilbert, K. , Winkler, A. M. , Zugman, A. , Agosta, F. , Åhs, F. , Andreescu, C. , Antonacci, C. , Asami, T. , Assaf, M. , Barber, J. P. , Bauer, J. , Bavdekar, S. Y. , Beesdo-Baum, K. , Benedetti, F. , ... Aghajani, M. (2024) . Brain-based classification of youth with anxiety disorders: transdiagnostic examinations within the ENIGMA-Anxiety database using machine learning. Nature Mental Health, 2(1), 104- 118. Article 100. [https://doi.org/10.1038/s44220-023-00173-2](https://doi.org/10.1038/s44220-023-00173-2) Link to publication on the EUR Research Information Portal Terms and Conditions of Use Except as permitted by the applicable copyright law, you may not reproduce or make this material available to any third party without the prior written permission from the copyright holder(s) . Copyright law allows the following uses of this material without prior permission: • you may download, save and print a copy of this material for your personal use only; • you may share the EUR portal link to this material. In case the material is published with an open access license (e.g. a Creative Commons (CC) license), other uses may be allowed. Please check the terms and conditions of the specific license. Take-down policy If you believe that this material infringes your copyright and/or any other intellectual property rights, you may request its removal by contacting us at the following email address: [openaccess.library@eur.nl. Please](openaccess.library@eur.nl. Please) provide us with all the relevant information, including the reasons why you believe any of your rights have been infringed. In case of a legitimate complaint, we will make the material inaccessible and/or remove it from the website. Brain-based classification of youth with anxiety disorders: transdiagnostic examinations within the ENIGMA-Anxiety database using machine learning Bruin, W.B.; Zhutovsky, P.; Wingen, G.A. van; Bas, J.M.; Groenewold, N.A.; Hilbert, K.; ... ; Aghajani, M. Citation Bruin, W. B., Zhutovsky, P., Wingen, G. A. van, Bas, J. M., Groenewold, N. A., Hilbert, K.,… Aghajani, M. (2024) . Brain-based classification of youth with anxiety disorders: transdiagnostic examinations within the ENIGMA-Anxiety database using machine learning. Nature Mental Health, 2, 104-118. doi:10.1038/s44220-023-00173-2 Version: Submitted Manusript (under Review) License: Leiden University Non-exclusive license Downloaded from: [https://hdl.handle.net/1887/3748497](https://hdl.handle.net/1887/3748497) Note: To cite this publication please use the final published version (if applicable) . Brain-Based Classification of Youth with Anxiety Disorders: Transdiagnostic and CaseControl Examinations within ENIGMA-ANXIETY using Machine Learning Authors Willem B. Bruin, MSc¹˒², Paul Zhutovsky, PhD¹˒², Guido A. van Wingen, PhD¹˒², Janna Marie Bas-Hoogendam, PhD³˒⁴˒⁵, Nynke A. Groenewold, PhD⁶˒⁷, Kevin Hilbert, PhD⁸, Anderson M. Winkler, MD, PhD⁹˒¹⁰, Andre Zugman, PhD¹⁰, Federica Agosta, MD, PhD¹¹˒¹²˒¹³, Fredrik Åhs, PhD¹⁴, Carmen Andreescu, MD¹⁵, Chase Antonacci, MPhil¹⁶, Takeshi Asami, MD, PhD¹⁷, Michal Assaf, MD¹⁸˒¹⁹, Jacques P. Barber, PhD ²⁰, Jochen Bauer, PhD²¹, Shreya Y. Bavdekar, ²², Katja Beesdo-Baum, PhD²³, Francesco Benedetti, MD²⁴, Rachel Bernstein, BA¹⁶, Johannes Björkstrand, PhD²⁵, Robert J Blair, PhD²⁶, Karina S. Blair, PhD²⁷, Laura Bl

FAQs

What is the main research goal of this study?

To develop and evaluate brain-based classification for youth with anxiety disorders using machine learning within the ENIGMA-Anxiety database.

What dataset is used for the examinations?

The study uses the ENIGMA-Anxiety database.

What methodological approach is highlighted in the title?

Machine learning applied to transdiagnostic examinations, including case-control comparisons.

Aug 5, 2026

Upload by Eliana