Multimodal integration of M/EEG and f/MRI data in SPM12
Posted on 2019-02-01 - 17:47 authored by Guillaume Flandin
We
describe the steps involved in analysis of multi-modal, multi-subject
human neuroimaging data using the SPM12 free and open source software
(https://www.fil.ion.ucl.ac.uk/spm/)
and a publically-available dataset organised according to the Brain
Imaging Data Structure (BIDS) format
(https://openneuro.org/datasets/ds000117/).
The dataset contains electroencephalographic (EEG),
magnetoencephalographic (MEG), and functional and structural magnetic
resonance imaging (MRI) data from 16 subjects who undertook multiple
runs of a simple task performed on a large number of famous,
unfamiliar and scrambled faces. We demonstrate: 1) batching and
scripting of preprocessing of multiple runs/subjects of combined MEG
and EEG data, 2) creation of trial-averaged evoked responses, 3)
source-reconstruction of the power (induced and evoked) across trials
within a time-frequency window around the “N/M170” evoked
component, using structural MRI for forward modelling and
simultaneous inversion (fusion) of MEG and EEG data, 4) group-based
optimisation of spatial priors during M/EEG source reconstruction
using fMRI data on the same paradigm, and 5) statistical mapping
across subjects of cortical source power increases for faces versus
scrambled faces.
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Henson, Richard N; Abdulraham, Hunar; Flandin, Guillaume; Litvak, Vladimir (2019). Multimodal integration of M/EEG and f/MRI data in SPM12. figshare. Collection. https://doi.org/10.6084/m9.figshare.c.4367120.v1
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