COBRE (INDI)
Center for Biomedical Research Excellence (COBRE) schizophrenia sample
Resting-state fMRI and anatomical brain MRI of patients with schizophrenia and healthy controls with basic phenotypes, a common benchmark for comparing connectivity and brain structure between groups. 72 patients and 75 controls aged 18 to 65.
Overview
COBRE is a schizophrenia sample shared through the International Neuroimaging Data-sharing Initiative (INDI) by the Mind Research Network and the University of New Mexico. The data come from a National Institutes of Health Center of Biomedical Research Excellence grant. The INDI release holds raw resting-state and anatomical MRI with basic phenotypes, which makes it a common benchmark for comparing patients and controls on functional connectivity and brain structure.
Composition
There are 147 participants: 72 patients with schizophrenia and 75 healthy controls, aged 18 to 65 in both groups. Diagnoses were made with the Structured Clinical Interview for DSM disorders. People with a neurological disorder, intellectual disability, severe head injury with more than 5 minutes of unconsciousness, or substance abuse or dependence in the past 12 months were excluded. Every participant has a resting-state fMRI run and an anatomical scan, and the phenotypic file lists sex, age, handedness and diagnosis. The release consists of one scan archive and three CSV files (rest parameters, MPRAGE parameters, phenotypes).
Acquisition
The anatomical scan is a sagittal 5-echo MPRAGE (TR 2530 ms, TI 900 ms, echo times 1.64 to 9.08 ms, flip angle 7°, 1 mm isotropic voxels, 256 x 256 x 176 matrix, 6 minutes). Resting-state data use single-shot EPI aligned to the AC-PC line with TR 2 s, TE 29 ms, a 64 x 64 matrix and 32 interleaved ascending axial slices of 3 x 3 x 4 mm. The descriptor paper for the wider COBRE collection names a Siemens 3 T TIM Trio with a 12-channel head coil at MRN.
Annotations
There are no image labels. Diagnosis (schizophrenia or control) is the main label for classification.
Known limitations
- No source states the exact release date. INDI announced the contribution for summer 2012; the INDI data table did not list it in October 2012 and listed it as released in May 2013. The year is set to 2013.
- The descriptor paper covers the full COBRE collection in COINS (about 100 patients and 100 controls, more modalities). Its acquisition values differ from the INDI page in places (TI 1.2 s, 33 EPI slices, 3.75 x 3.75 x 4.55 mm voxels).
- Sex, handedness and age distributions are only in the phenotypic file, which is behind NITRC registration.
Cohort
Aggregate numbers from the sources below. Bars are relative to the 147 subjects.
Age
range 18 to 65
No age bins reported.
Summary in COBRE release page, FCP/INDI (summary, acquisition parameters, data list, usage agreement)
Condition
Groups can overlap
- Healthy control 75 51%
- Schizophrenia 72 49%
Summary in COBRE release page, FCP/INDI (summary, acquisition parameters, data list, usage agreement)
Field strength
- 3 T 147 100%
Methods (MRI/fMRI data collection) in Aine et al. 2017, Multimodal Neuroimaging in Schizophrenia, Neuroinformatics
Contrast / sequence
Groups can overlap
- BOLD fMRI 147 100%
- T1-weighted 147 100%
Data released for every participant in COBRE release page, FCP/INDI (summary, acquisition parameters, data list, usage agreement)
Scanner vendor
- Siemens Healthineers 147 100%
Methods (MRI/fMRI data collection) in Aine et al. 2017, Multimodal Neuroimaging in Schizophrenia, Neuroinformatics
Country
- United States 147 100%
Funding in COBRE release page, FCP/INDI (summary, acquisition parameters, data list, usage agreement)
Contrast combinations
How many subjects have exactly each set of contrasts.
| T1w | bold | Subjects with exactly this set |
|---|---|---|
147 |
Data released for every participant in COBRE release page, FCP/INDI (summary, acquisition parameters, data list, usage agreement)
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
Create an account and accept terms online
1000 Functional Connectomes Project / INDI terms (Creative Commons Attribution Non-Commercial, no version stated)
Non-commercial use only, after registering with the 1000 Functional Connectomes Project on NITRC. The NITRC project lists a Creative Commons Attribution Non-Commercial license without a version: derived works must credit the source and stay non-commercial but need not use the same license.
The release page states "Creative Commons License: Attribution - Non-Commercial" as its usage agreement. Downloads need a NITRC account and membership in the 1000 Functional Connectomes Project on NITRC.
What you can do
- No
- Not stated
- Not stated
- Conditional
- Not stated
What you can share
- Not stated
- Conditional
- Share trained models Not stated
What you must do
- Yes
- No
- Conditional
- Ethics approval No
- Manuscript review No
- Release code No
- Return results No
- Delete after use No
Limits
- No
- Location limits No
Commercial license: Not stated
Citation
Aine CJ, Bockholt HJ, Bustillo JR, et al. Multimodal Neuroimaging in Schizophrenia: Description and Dissemination. Neuroinformatics 15(4):343-364 (2017). doi:10.1007/s12021-017-9338-9
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.
- COBRE release page, FCP/INDI (summary, acquisition parameters, data list, usage agreement) website
- INDI 2012 Summer of Sharing page (pledged contributions) website
- INDI retrospective data table as archived on 18 October 2012 (COBRE not listed) website
- INDI retrospective data table as archived on 6 May 2013 (COBRE listed as released) website
- Aine et al. 2017, Multimodal Neuroimaging in Schizophrenia, Neuroinformatics paper