About the dataset

The study is part of the PHENOM consortium. For more information, see: https://doi.org/10.1038/s41380-023-02069-0 and https://doi.org/10.1093/brain/awaa025. The PHENOM (Psychosis Heterogeneity Evaluated Via Dimensional Neuroimaging) consortium is an international consortium pooling MRI and clinical data across several institutions world-wide. The focus on the consortium is to study the use of machine learning and MRI as a means for deriving personalized imaging signatures of schizophrenia, and of predicting future clinical progression. An associated goal is to use state of the art weakly supervised machine learning methods to dissect neuroanatomical heterogeneity in psychosis. In addition to offering healthy control subjects at younger ages, this consortium helps establish imaging signatures of psychosis into NiChart.
Study PHENOM_GAP
Data Descriptor Paper https://doi.org/10.1038/s41380-023-02069-0
DUA Please contact Dr. Christos Davatzikos to obtain the DUA for the derived data and request an introduction to the study PI to obtain the DUA for the raw data.
Disease Tag psychosis
Age (mean ± SD) 27.2 ± 7.4
Age Range 18-62
% Female 43.7
CUBIC Project /cbica/projects/PsychAnalysis
PI for CUBIC Access Approval Christos Davatzikos
N Subjects 218
N MR Sessions 218
DLMUSE (v1.0.7)
(218/218 complete)
/cbica/projects/PsychAnalysis/Pipelines/PHENOM_DLMUSE_2025/GAP/Results/GAP_DLMUSE_Volumes.csv
Non-Imaging Data

Contact Mathilde Antoniades to request access to the non-imaging data.

/cbica/home/harmang/for_others/final_combined_istaging_withMUSE.csv

Data consolidated and harmonized in 2026.

This study: subset with df[df.Study == 'GAP']


Funding
The PHENOM study is funded by NIA grant R01MH112070 and by the PRONIA project as funded by the European Union 7th Framework Program grant 602152. Other supporting funds are 5U01AG068057, 1U24AG074855, R01MH119219 and S10OD023495.