…Multi-subject, multi-modal (sMRI+fMRI+MEG+EEG) neuroimaging dataset on face…
This dataset contains transcranial magnetic stimulation (TMS) combined with electroencephalography (EEG) recordings acquired to identify site- and stimulation-specific TMS-evoked potentials. It accompanies a study that applied a quantitative cosine similarity metric to distinguish TMS-evoked EEG responses across stimulation sites and conditions. The data are mirrored on NEMAR from OpenNeuro (ds001849).
…SEEG/MEG synchronization and DFA (derivative) **This is a processed-data (derivative…
ROAMM (Reading Observed At Mindless Moments) is a multimodal dataset of simultaneous EEG and eye-tracking recordings from 44 participants during naturalistic reading, with span-level mind-wandering annotations collected through a retrospective self-report paradigm. It serves as a benchmark for mind-wandering detection and EEG-to-text decoding, and supports research on how attention lapses degrade language decoding from brain activity. Synchronized machine-learning-ready data, reading stimuli and page-level comprehension scores are included.
…externalized DBS patients undergoing simultaneous MEG - STN LFP recordings with (MedOn) and…
…on003568) This dataset contains the MEG and structural MRI data from the…
…level temporal resolution of magnetoencephalography (MEG) and electroencephalography (EEG). HAD-MEEG were…
…T1 and T2 scans. ### MEG The optional MEG studies were added to…
…As a result, the NOD uniquely integrates three different modalities—fMRI, MEG…
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