CCNRP chronic brain lesions
Chronic Brain Lesion MRI with Manual Lesion Segmentations (Cambridge Cognitive Neuroscience Research Panel)
Defaced T1-weighted brain MRI of adults with chronic focal brain lesions from stroke, tumour surgery and other causes, each with a manual lesion mask, shared for developing automated lesion segmentation and lesion-symptom mapping methods.
Overview
This release holds structural brain MRI from 204 people with chronic focal brain lesions who belong to the Cambridge Cognitive Neuroscience Research Panel (CCNRP). The data were curated and shared by researchers at the MRC Cognition and Brain Sciences Unit, University of Cambridge. Every scan comes with a binary lesion mask drawn by hand. The authors share it to test and train automatic lesion segmentation tools and to support lesion-symptom mapping research. In their own nnU-Net study the cohort serves as an external test set and as a training set for chronic T1-weighted segmentation models.
Composition
There is one defaced T1-weighted volume per participant and one lesion mask per participant, so 204 images and 204 masks in total. The study paper reports the clinical background in rounded shares: about 36% of cases are stroke-related (ischaemic infarct, haemorrhage, aneurysm or arteriovenous malformation), about 53% are tumour-related (for example meningioma, glioma, cavernoma or tumour resection), and about 11% have other causes such as epilepsy surgery, encephalomalacia or infection. Lesions sit in cortical and subcortical regions of both hemispheres.
Acquisition
The images are archival high-resolution T1-weighted scans organised into BIDS. The release does not report scanner vendor, field strength or sequence parameters, and the preprocessing history is not documented consistently because of the age of the archive.
Annotations
A single senior neurologist outlined each lesion case by case in MRIcron. The masks are stored under derivatives/ in the same native space as the matching T1-weighted image.
Known limitations
No participant-level variables are published: age, sex, aetiology and time since injury are all missing, so the aetiology shares above cannot be linked to individual scans. Acquisition parameters are unknown and likely vary across the archive. Each mask comes from one rater, so there is no inter-rater measure. Only T1-weighted images are shared.
Cohort
Aggregate numbers from the sources below. Bars are relative to the 204 subjects.
Contrast / sequence
Groups can overlap
- T1-weighted 204 100%
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
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Creative Commons Zero 1.0 Universal
Public domain dedication. Do anything with the data, including commercial use, without asking and without having to give credit.
dataset_description.json of the OpenNeuro snapshot states "License" CC0.
What you can do
- Yes
- Yes
- Yes
- Yes
- Yes
What you can share
- Yes
- Yes
- Yes
What you must do
- No
- Share alike No
- No
- No
- Manuscript review No
- Release code No
- Return results No
- Delete after use No
Limits
- No
- Location limits No
Citation
Truzman T, Halai AD, Lambon Ralph MA. Chronic Brain Lesion MRI with Manual Lesion Segmentations (CCNRP, Cambridge). OpenNeuro ds007212 (2026). doi:10.18112/openneuro.ds007212.v1.0.0. And: Truzman T, Lambon Ralph MA, Halai AD. Automated Lesion Segmentation of Stroke MRI Using nnU-Net. arXiv:2601.08701 (2026).
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.
- Truzman et al. 2026, Automated Lesion Segmentation of Stroke MRI Using nnU-Net, arXiv:2601.08701v2 paper
- README of OpenNeuro ds007212 snapshot 1.0.0 website
- BIDS file tree of OpenNeuro ds007212 snapshot 1.0.0 (CC0), raw T1w NIfTI files under sub-*/anat and lesion masks under derivatives counted computed