Extreme deviations from the normative model reveal cortical heterogeneity and associations with negative symptom severity in first-episode psychosis from the OPTiMiSE and GAP studies
Abstract There is currently no quantifiable method to predict long-term clinical outcomes in patients presenting with a first episode of psychosis. A major barrier to developing useful markers for this is biological heterogeneity, where many different pathological mechanisms may underly the same set...
Main Authors: | Amanda Worker, Pierre Berthert, Andrew J. Lawrence, Seyed Mostafa Kia, Celso Arango, Richard Dinga, Silvana Galderisi, Birte Glenthøj, René S. Kahn, Anoushka Leslie, Robin M. Murray, Carmine M. Pariante, Christos Pantelis, Mark Weiser, Inge Winter-van Rossum, Philip McGuire, Paola Dazzan, Andre F. Marquand |
---|---|
Format: | Article |
Language: | English |
Published: |
Nature Publishing Group
2023-12-01
|
Series: | Translational Psychiatry |
Online Access: | https://doi.org/10.1038/s41398-023-02661-6 |
Similar Items
-
Warped Bayesian linear regression for normative modelling of big data
by: Charlotte J. Fraza, et al.
Published: (2021-12-01) -
Accommodating site variation in neuroimaging data using normative and hierarchical Bayesian models
by: Johanna M.M. Bayer, et al.
Published: (2022-12-01) -
Deviations from normative brain white and gray matter structure are associated with psychopathology in youth
by: Rikka Kjelkenes, et al.
Published: (2022-12-01) -
Prediction of drop-out and functional impairment in recent-onset schizophrenia spectrum disorders
by: A. Mucci, et al.
Published: (2021-04-01) -
Komunikasi serat optis
by: Perpustakaan UGM, i-lib
Published: (1992)