Working memory in schizophrenia and siblings (ds000115)
Working memory in healthy and schizophrenic individuals
Brain MRI and N-back working memory fMRI of people with schizophrenia, their siblings, healthy controls and the controls' siblings, collected to study how brain network connectivity changes with working memory load and with familial risk for schizophrenia.
Overview
This OpenNeuro release holds structural MRI and task functional MRI from a study at Washington University in St. Louis on working memory in schizophrenia and familial risk. Participants were people with schizophrenia, their non-psychotic full siblings, healthy controls and the siblings of those controls, recruited through the Conte Center for the Neuroscience of Mental Disorders. The accompanying 2012 paper by Repovš and Barch used the scans to test whether connectivity between frontal-parietal, cingulo-opercular, cerebellar and default mode networks changes with working memory load, and whether patients and siblings differ from controls across rest and task states.
Composition
The snapshot summary on OpenNeuro lists 99 subjects in BIDS layout, with subject numbers up to 102; the README notes that three numbers are missing. The participant table records the diagnostic group (schizophrenia, sibling of a patient, control, sibling of a control), sex, race, age, education, symptom ratings, cognitive test scores and N-back accuracy and response times. The paper analysed a subset of 74 participants (19 patients, 28 patient siblings, 10 controls, 17 control siblings), after excluding people with poor image quality or without N-back data. Group sizes for the shared 99 are not stated by the paper or the dataset page.
Acquisition
The paper reports scanning on a Siemens 3 T Tim Trio, with a sagittal MP-RAGE T1-weighted volume at 1 mm isotropic resolution and BOLD runs at 4 mm isotropic resolution with a repetition time of 2.5 s. The release organises the functional data as one run per letter N-back load (0-back, 1-back, 2-back) with an events file each, next to the T1-weighted volume in each subject folder. The paper also describes two resting-state runs, but these are not part of the OpenNeuro release. Anatomical images were defaced with pydeface.
Known limitations
No license is stated, so terms of reuse are unclear. Diagnostic group counts for the release are only available in a participant file that has no license, so they are not reported here. Resting-state data are not shared. The release is a single snapshot from 2018 in an early BIDS version.
License and access
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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.
dataset_description.json of snapshot 00001 has no "License" field and the README names no license. The OpenNeuro FAQ says early datasets were released as CC0, PDDL or CC BY and that only newly published datasets and versions are CC0, so the license of this snapshot cannot be inferred. brainlife.io hosts a copy of the earlier OpenNeuro snapshot 580f8a81cce88d000a0fa730, also without a license.
What you can do
- Commercial use Not stated
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- 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
Repovš G, Barch DM. Working memory related brain network connectivity in individuals with schizophrenia and their siblings. Frontiers in Human Neuroscience 6:137 (2012). doi:10.3389/fnhum.2012.00137
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.