A studyforrest extension, MEG recordings while watching the audio-visual movie “Forrest Gump”

Abstract

Naturalistic stimuli, such as movies, are being increasingly used to map brain function because of their high ecological validity. The pioneering studyforrest and other naturalistic neuroimaging projects have provided free access to multiple movie-watching functional magnetic resonance imaging (fMRI) datasets to prompt the community for naturalistic experimental paradigms. However, sluggish blood-oxygenation-level-dependent fMRI signals are incapable of resolving neuronal activity with the temporal resolution at which it unfolds. Instead, magnetoencephalography (MEG) measures changes in the magnetic field produced by neuronal activity and is able to capture rich dynamics of the brain at the millisecond level while watching naturalistic movies. Herein, we present the first public prolonged MEG dataset collected from 11 participants while watching the 2 h long audio-visual movie “Forrest Gump”. Minimally preprocessed data was also provided to facilitate the use of the dataset. As a studyforrest extension, we envision that this dataset, together with fMRI data from the studyforrest project, will serve as a foundation for exploring the neural dynamics of various cognitive functions in real-world contexts.

A synchronized multimodal neuroimaging dataset for studying brain language processing

“…To validate whether our MEG data have a high ISC and whether preprocessing changes the ISC, we calculated the ISC value of the MEG data before and after preprocessing 23 . Specifically, we correlated the amplitude envelopes of bandpass-filtered MEG signals that were correlated between participants in a sensor space in four frequency bands of interest (delta: 1–4 Hz, theta: 4–8 Hz, alpha: 8–13 Hz, beta: 13–30 Hz).…”

Release of cognitive and multimodal MRI data including real-world tasks and hippocampal subfield segmentations

“…Perhaps the most relevant are those that contain neuroimaging data acquired while participants passively watched movies or television programmes, which is more naturalistic [e.g. 18 – 21 , see also 22 ]. However, large datasets that have neuroimaging data along with tests tapping into people’s actual lived experience are few – for an exception see 23 , 24 , which includes MRI scans and data from an autobiographical memory recall test.…”