Predicting Mental and Neurological Illnesses Based on Cerebellar Normative Features

Background: Mental and neurological conditions have been linked to structural brain variations. However, aside from dementia, the value of brain structural characteristics derived from brain scans for prediction is relatively low. One reason for this limitation is the clinical and biological heterog...

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Bibliographic Details
Main Authors:	Milin Kim, Nitin Sharma, Esten H. Leonardsen, Saige Rutherford, Geir Selbæk, Karin Persson, Nils Eiel Steen, Olav B. Smeland, Torill Ueland, Geneviève Richard, Aikaterina Manoli, Sofie L. Valk, Dag Alnæs, Christian F. Beckman, Andre F. Marquand, Ole A. Andreassen, Lars T. Westlye, Thomas Wolfers, Torgeir Moberget
Format:	Article
Language:	English
Published:	Elsevier 2025-09-01
Series:	Biological Psychiatry Global Open Science
Subjects:	Cerebellum Machine learning Magnetic resonance imaging Mental illnesses Neurological diseases Normative modeling
Online Access:	http://www.sciencedirect.com/science/article/pii/S2667174325000953
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Predicting Mental and Neurological Illnesses Based on Cerebellar Normative Features

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