Psychosis Data from China Tianji-Anning Hospital
About the dataset
Primary description: Hospital-based neuro cohort
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. Diagnosis was assessed following the consensus of two clinical psychiatrists using the DSM-IV/SCID. Exclusion criteria were MRI contraindications, pregnancy, history of systemic medical illness, central nervous system disorder and head trauma, and substance abuse within the last three months or lifetime history of substance abuse or dependence. Healthy controls with a history of psychiatric disease or a first-degree relative with psychosis were also excluded.
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.
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 | Psychosis Data from China Tianji-Anning Hospital | |
|---|---|---|
| Data Descriptor Paper | https://pubmed.ncbi.nlm.nih.gov/27618693/ | |
| 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. | |
| Country/Region | China | |
| Disease Tag | psychosis | |
| Age (mean ± SD) | 34.7 ± 10.4 | |
| Age Range | 14-59 | |
| % Female | 54 | |
| CUBIC Project | /cbica/projects/PsychAnalysis |
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| PI for CUBIC Access Approval | Christos Davatzikos | |
| N Subjects | 210 | |
| N MR Sessions | 210 | |
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DLMUSE
(v1.0.7)
(210/210 complete) |
/cbica/projects/PsychAnalysis/Pipelines/PHENOM_DLMUSE_2025/China_TianjiAnningHospital/Results/China_TianjiAnningHospital_DLMUSE_Volumes.csv
|
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| 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 |
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.