Neuroimaging Data | BRAIN

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Neuroimaging Data

The DPUK Neuroimaging Data Collection contains over 130,000 raw scans & pre-processed, research ready datasets. All of these are standardised to the Brain Imaging Data Structure (BIDS).

Contact Lewis Hotchkiss to learn more

lewis.hotchkiss@chi.swan.ac.uk

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Scan this QR Code to learn more about our neuroimaging data collection

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Neuroimaging Matrix

The DPUK Neuroimaging Collection contains data from over 7000 participants across 20 cohort studies related to neurodegenerative diseases and healthy ageing.

Standardised

Every dataset is standardised to the Brain Imaging Data Structure (BIDS) to easily integrate into existing workflows.

Processed

Our datasets contain pre-processed versions and Imaging Derived Phenotypes (IDPs) for research-ready analysis,

Resources

Access to a choice of virtual desktops, either Windows or Linux, as well as a High Performance Computing cluster which is available

Neuroimaging Data Showcase

Whitehall Imaging Sub-Study
The Whitehall II (MRI Sub study) randomly recruited 800 participants from wave 11 of the Whitehall II study to come to Oxford for detailed neuropsychological, psychiatric and MRI investigations between 2012 and 2016. Data on T1-weighted structural MRI, FLAIR, T2*-weighted, DTI and resting state fMRI are available for most participants. Just like the Whitehall II study, the MRI sub study aims to understand the causes of age-related heterogeneity in brain and mental structure and function. By combining over 30 years of data on social inequalities, lifestyle and chronic disease with new clinical measures of cognitive function, mental disorders and physical functioning, insights into individual and social differences and brain mechanisms in the development of frailty, disability, dependence, depression and dementia can be gained.

MEMENTO
The Memento cohort is a research project implemented within the framework of the 2008-2012 Alzheimer's plan, with the aim of describing and better understanding the clinical evolution of patients with early signs that may evoke the onset of Alzheimer's or other related diseases. One of the main challenges of Memento is to measure, repeatedly in patients with early signs, a series of biomarkers (MRI of the brain, genetic analyses, molecular PET imaging, CSF extracted by lumbar puncture) and risk factors (lifestyle habits, drug treatments, quality of life) and to monitor the development of their neurocognitive performance in parallel. All of these observations should make it possible to understand which parameters explain why some people become sick and others do not. In the longer term, the knowledge accumulated thanks to the Memento study could make it possible to diagnose those with dementia at an earlier stage and to offer them, where available, treatments which will make it possible to stop or slow down the evolution of the disease.

QMIN-MC
A study of neuroimaging and cognitive data from NHS memory clinics. This is an unselected cohort of people attending memory clinics who require neuroimaging including people with and without a diagnosis of dementia. Basic demographic data, diagnosis and cognitive testing is available to accompany the neuroimaging. This is a great resource for validating AI models and analysis in real-world data.

Data Ingest Process

If you have collected a neuroimaging dataset, whether that's MRI, PET, MEG or anything else, and want to share it for other researchers to use, then you can share it on our secure research platform where you maintain in control of your data. Your data can never leave our environment and we have built robust ingest pipelines for anonymisation and processing to make sure your data is research-ready.

Submission
You can upload your data into our platform via a simple Secure File Transfer Protocol (SFTP) transfer or via the XNAT platform.

Data Check
Your data goes through our data check process to assess the state of the data to determine what level of anonymising and processing needs to happen.

Anonymisation
If your data contains PII either within any phenotypic files or image files, then we will remove these to avoid any potential disclosure risk. We will also deface all structural scans and perform a quality check.

Standardisation
Data will be standardised to the Brain Imaging Data Structure (BIDS).

Pre-Processing
The data will then go through our processing pipelines to generate Imaging Derived Phenotypes (IDPs) along with processed scans so researchers have a choice of what they want to access.

Tagging
Data will then be tagged and stored in a bucket in our object storage server to allow for easy filtering of data to researchers and allows you to put controls on your data.

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