The BioFIND project contains resting-state MEG data and T1 MRI data from individuals with Mild Cognitive Impairment (MCI) and their healthy controls. The aim is to evaluate potential MEG biomarkers for neurodegeneration, e.g, due to Alzheimer Disease.
The project was initially funded by a ERC JNPD grant ‘Harmonisation and Alignment in Brain Imaging Methods for Neurodegeneration’ (MR/P502017/1), and subsequently supported by the Medical Research Council (MRC) Cognition & Brain Sciences Unit (CBU) in Cambridge, UK, and the Technical University of Madridin Centre for Biomedical Technology (CTB) in Madrid, Spain.
The data are available in BIDS format, and consists of at least 2 mins of resting-state MEG and (for most participants) a T1-weighted MRI. All MEG data are from an Elekta Neuromage VectorView system.
A description of the first N=186 participants can be found in this paper Hughes et al (2019).
Subsequently, the dataset was expanded to N=324 participants and converted to BIDS format, as described in this data paper: Vaghari et al (2021).
The latest BIDS version is availble from the DPUK website.
The three fiducials for the MRI of sub_0248 were incorrect and have been corrected. However, the corresponding fiducials in the MEG data still do not seem to match the headshape points, suggesting that the reference for the 3D digitiser moved during digitisation, so coregistration of the MEG and MRI for this subject might be best restricted to the headshape points