TCD Schizophrenia Neuroimaging Genetics
A structural and functional MRI investigation of genetics, cognition and emotion in schizophrenia (Trinity College Institute of Neuroscience, Dublin)
Structural, diffusion and resting-state brain MRI of patients with schizophrenia and healthy controls, from a Dublin study of genetics, cognition and emotion in schizophrenia. Images are not shared.
Overview
This entry covers the brain MRI sample of a neuroimaging genetics study of schizophrenia run at the Trinity College Institute of Neuroscience in Dublin and funded by Science Foundation Ireland. The study's title was "A structural and functional MRI investigation of genetics, cognition and emotion in schizophrenia". The images later became one of the legacy datasets of the EU PSYSCAN project and were used in multi-cohort work on cortical morphometric similarity and on machine-learning classification of schizophrenia.
Composition
Patients came through local clinical services in Dublin, and controls with no psychiatric history were recruited by local advertisement in the same area. Pregnancy, neurological disease, intellectual disability and recent substance misuse were exclusion criteria. Morgan et al. (2019) started from 184 people with both T1-weighted and diffusion scans. After removing 9 for head motion and 60 for poor diffusion data, 115 remained: 33 patients (30 schizophrenia, 3 schizoaffective disorder) and 82 controls. Patients were older on average (42.2 vs 33.5 years) and more often male (73% vs 43%). Lei et al. (2020) used 32 patients and 83 controls with structural and resting-state functional scans. How the two subsets overlap is not reported.
Acquisition
All scans were made on one 3T Philips Intera Achieva system. The T1-weighted scan used TR/TE 8.4/3.8 ms and 0.9 mm isotropic voxels. Resting-state fMRI had 180 volumes at TR 2 s with 3.5 mm isotropic voxels. Diffusion-weighted imaging was also acquired, but its protocol is not described in the open sources. Symptoms were rated with SAPS and SANS for 24 of the 33 analysed patients.
Annotations
No image annotations. Labels are diagnosis, age, sex and symptom scores.
Known limitations
- Images are not shared. Lei et al. (2020) state the data are unavailable for confidentiality reasons, and no terms are published.
- Only derived regional cortical measures (thickness, volume, area, curvature, FA, MD) with age, sex and group for the 115 analysed participants are public, on Figshare under CC BY 4.0.
- The full study enrolment is not reported; the counts here cover the subsets used in two papers.
- Many controls were lost to diffusion quality control, so the analysed sample is unbalanced in age and sex.
Cohort
Aggregate numbers from the sources below. Bars are relative to the 184 subjects.
Sex
- Female 56 49%
- Male 59 51%
Covers 115 of 184 subjects.
Dublin/sex.dat (value 1), Dublin/sex.dat (value 2) in Morgan et al. 2019 Figshare deposit Data_MS_SZ.zip (CC BY 4.0), Dublin folder, counted per subject row
Modality
- MRI 184 100%
Section 1.2 in Morgan et al. 2019, PNAS, SI Appendix (pnas.1820754116.sapp.pdf)
Condition
Groups can overlap
- Healthy control 82 45%Age mean 33.5
- Schizophrenia 30 16%
- Schizoaffective disorder 3 2%
Section 1.2, Table S1 in Morgan et al. 2019, PNAS, SI Appendix (pnas.1820754116.sapp.pdf)
Field strength
- 3 T 184 100%
Section 1.2 in Morgan et al. 2019, PNAS, SI Appendix (pnas.1820754116.sapp.pdf)
Sex by condition
Reported cross table. A dot marks a cell the source does not give.
| Healthy control | |
|---|---|
| Female | 47 |
| Male | 35 |
Table S1 in Morgan et al. 2019, PNAS, SI Appendix (pnas.1820754116.sapp.pdf); Dublin/group.dat and sex.dat in Morgan et al. 2019 Figshare deposit Data_MS_SZ.zip (CC BY 4.0), Dublin folder, counted per subject row
Age
median 34, range 19 to 64
Dublin/age.dat in Morgan et al. 2019 Figshare deposit Data_MS_SZ.zip (CC BY 4.0), Dublin folder, counted per subject row
Contrast / sequence
Groups can overlap
- T1-weighted 184 100%
- Diffusion-weighted 184 100%
- BOLD fMRI 115 63%
Section 1 in Morgan et al. 2019, PNAS, SI Appendix (pnas.1820754116.sapp.pdf); Table 1 in Lei et al. 2020, Human Brain Mapping (PMC7268084)
Scanner vendor
- Philips 184 100%
Section 1.2 in Morgan et al. 2019, PNAS, SI Appendix (pnas.1820754116.sapp.pdf)
License and access
Our reading of the license, not legal advice. Before you use the data, read the original license and confirm that your use is allowed. We take no responsibility for how you use a dataset. Full disclaimer
The data are not available outside the institution or study that holds them
The data availability statement of Lei et al. (2020), where the sample is Dataset 4, says the data are unavailable due to research data confidentiality. Morgan et al. (2019) used the sample as a PSYSCAN legacy dataset and published only derived regional cortical measures with age, sex and group on Figshare under CC BY 4.0.
No published license or data use terms
The data holder has published no license and no data use terms. Any use, sharing or commercial right has to be agreed with the data holder, and nothing can be assumed to be allowed. Default copyright and data protection law still apply.
Neither Morgan et al. (2019) nor Lei et al. (2020) states a license or data use terms for the images. The CC BY 4.0 Figshare deposit covers derived regional measures only.
What you can do
- Commercial use Not stated
- Not stated
- Train ML models Not stated
- Create derived data Not stated
- Publish results Not stated
What you can share
- Share the data Not stated
- Share derived data Not stated
- Share trained models Not stated
What you must do
- Cite or credit Not stated
- Share alike Not stated
- Sign an agreement Not stated
- Ethics approval Not stated
- Manuscript review Not stated
- Release code Not stated
- Return results Not stated
- Delete after use Not stated
Limits
- No re-identification Not stated
- Location limits Not stated
Citation
Morgan SE, Seidlitz J, Whitaker KJ, Romero-Garcia R, Clifton NE, Scarpazza C, van Amelsvoort T, Marcelis M, van Os J, Donohoe G, Mothersill D, Corvin A, Pocklington A, Raznahan A, McGuire P, Vertes PE, Bullmore ET. Cortical patterning of abnormal morphometric similarity in psychosis is associated with brain expression of schizophrenia-related genes. PNAS 116(19):9604-9609 (2019). doi:10.1073/pnas.1820754116
Sources
Every number on this page comes from one of these documents. Each chart names the table or page it is taken from. The raw numbers are in stats.csv.