EEG, fMRI and NODDI dataset

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Category: Data

Description: Multimodal medical imaging dataset from adult volunteers

License: CC-By Attribution 4.0 International

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These are the raw data associated with two publications. Please cite the articles below. F. Deligianni, D.W. Carmichael, Gary H. Zhang, C.A. Clark and J.D. Clayden (2016). NODDI and tensor-based microstructural indices as predictors of functional connectivity. PLoS ONE 11(4):e0153404. F. Deligianni, M. Centeno, D.W. Carmichael and J.D. Clayden (2014). Relating resting-state fMRI and EEG whole-bra...

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  • BIDS ready data

    Pernet, Clayden & Deligianni
    these are the same data but organised using BIDS (http://bids.neuroimaging.io/)
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