AUTHOR=Henson Richard N. , Abdulrahman Hunar , Flandin Guillaume , Litvak Vladimir 

TITLE=Multimodal Integration of M/EEG and f/MRI Data in SPM12

JOURNAL=Frontiers in Neuroscience

VOLUME=13

YEAR=2019

URL=https://www.frontiersin.org/journals/neuroscience/articles/10.3389/fnins.2019.00300

DOI=10.3389/fnins.2019.00300

ISSN=1662-453X

ABSTRACT=<p>We describe the steps involved in analysis of multi-modal, multi-subject human neuroimaging data using the SPM12 free and open source software (<ext-link ext-link-type="uri" xlink:href="https://www.fil.ion.ucl.ac.uk/spm/" xmlns:xlink="http://www.w3.org/1999/xlink">https://www.fil.ion.ucl.ac.uk/spm/</ext-link>) and a publically-available dataset organized according to the Brain Imaging Data Structure (BIDS) format (<ext-link ext-link-type="uri" xlink:href="https://openneuro.org/datasets/ds000117/" xmlns:xlink="http://www.w3.org/1999/xlink">https://openneuro.org/datasets/ds000117/</ext-link>). 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 modeling 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 vs. scrambled faces.</p>