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…A Null Finding (https://doi.org/10.1016/j.cortex.2024.05…

Participants

165

Participants

108

This magnetoencephalography (MEG) dataset investigates neural object representations during dynamic visual occlusion. Participants viewed objects that were either occluded or disappeared while their neural activity and eye movements were recorded. The dataset includes raw MEG data, behavioral responses, eye-tracking recordings, and preprocessed neural signals epoched relative to stimulus onset and position changes, enabling investigation of how the brain maintains object representations under conditions of visual disruption.

Size

258 GB

Updated

Jun 18, 2026

This magnetoencephalography (MEG) dataset comprises neuroimaging data collected to establish standardized protocols for cross-site pooling of MEG data. The dataset demonstrates the application of BIDS formatting to MEG neuroimaging, facilitating data harmonization and reproducible analysis across multiple research institutions.

Citations

16

Size

77.2 GB

Updated

Jun 23, 2026

Participants

1

MEG-MASC is a high-quality magnetoencephalography dataset comprising raw MEG recordings from 27 English speakers listening to approximately two hours of naturalistic stories from the Manually Annotated Sub-Corpus (MASC). The dataset includes precise temporal annotations of word and phoneme onsets/offsets, organized according to the Brain Imaging Data Structure (BIDS) standard. This benchmark dataset enables large-scale encoding and decoding analyses of neural responses to natural speech processing, with accompanying code for validation analyses including temporal decoding of phonetic features and word frequency effects.

Citations

41

Size

99.3 GB

Updated

Jun 3, 2026

A synchronized multimodal neuroimaging dataset containing concurrent fMRI and MEG recordings from 12 Mandarin Chinese speakers during naturalistic story listening, supplemented with high-resolution structural imaging, diffusion MRI, and resting-state fMRI. The dataset includes rich linguistic annotations of stimuli encompassing word frequencies, syntactic structures, temporal alignments, and embeddings from multiple pre-trained language models, enabling comprehensive investigation of neural mechanisms underlying language processing.

Citations

6

Size

1.35 TB

Updated

Jun 23, 2026

This dataset comprises electroencephalographic (EEG) recordings from 71 healthy subjects performing a visual P300-based brain-computer interface task using the Brain Invaders videogame. Participants engaged with an oddball paradigm involving pseudo-random flashes of 36 symbols on a grid to elicit P300 event-related potentials. The study evaluated the feasibility of a calibration-less P300 BCI system using 16 dry electrodes, with real-time adaptive classification for online feedback during gameplay. Subjects completed up to three game sessions.

Citations

7

Size

1.03 GB

Updated

Jun 3, 2026

Citations

2

Size

17.5 GB

Updated

May 18, 2026

This bimodal neuroimaging dataset combines electroencephalography (EEG) and functional magnetic resonance imaging (fMRI) data acquired during inner-speech production tasks. The dataset includes recordings from four healthy participants performing inner-speech tasks with eight words from social and numerical categories, with 40 trials per word per modality. This multimodal approach leverages the complementary temporal resolution of EEG and spatial resolution of fMRI to advance brain-computer interface research for speech prostheses applications.

Size

9.33 GB

Updated

Jun 23, 2026