Sternberg Working Memory
[ and auditory stimulation (tones to left and right ears), with occasional face stimuli requiring motor responses. Structural MRI data from a 1.5 T Siemens scanner and Freesurfer-derived anatomical derivatives are included, providing a comprehensive reference dataset for MEG/EEG analysis and method development.
…In this study, we analyzed the encoding of single upper limb movements…
FLUX is a comprehensive pipeline for magnetoencephalography (MEG) data analysis, providing standardized workflows for processing and analyzing MEG recordings. This dataset demonstrates the application of the FLUX pipeline to MEG neuroimaging data organized according to the Brain Imaging Data Structure (BIDS) standard, facilitating reproducible and transparent MEG analysis across research groups. The dataset is derived from OpenNeuro ds004346 and contains MEG recordings with anatomical data.
This dataset contains raw EEG recordings from participants performing a tactile discrimination task involving Braille letter stimulation. Participants received Braille letters (B, C, D, L, M, N, V, Z) presented on Braille cells under their left and right index fingers while EEG was recorded. The dataset accompanies research investigating the neural transformation of sensory tactile input to perceptual representations of Braille letters in the visually deprived brain.
BigP3BCI Study P is a P300-based brain-computer interface dataset comprising EEG recordings from 19 healthy subjects across 2 sessions each, using a 9x8 character grid spelling paradigm. The dataset contains 32-channel EEG data sampled at 256 Hz with standardized 10-20 montage, annotated with target and non-target visual stimulus events. This derivative dataset is part of the largest public P300 BCI dataset collection, and is optimized for machine learning applications in BCI research.
STReEF is a long-term intracranial EEG dataset from 13 patients with focal epilepsy, comprising 5 electrocorticography and 8 stereo-encephalography recordings collected at the University Medical Center Utrecht. The dataset includes structural and functional neuroimaging data organized according to BIDS specification, designed to investigate structural and effective brain connectivity in focal epilepsy surgery candidates.
This magnetoencephalography (MEG) dataset investigates the differential neural mechanisms underlying selection and maintenance of information during working memory tasks. Data from 22 participants include MEG recordings across two sessions, structural MRI, and detailed behavioral measures from a working memory task and a one-back control task involving visual Gabor stimuli. The dataset supports investigation of how the brain selectively maintains task-relevant information while filtering distractions.
This dataset comprises EEG recordings from elderly dementia patients during 40Hz auditory entrainment sessions designed to investigate the effects of gamma-band brain stimulation on neural oscillations. Participants underwent either short (6 trials) or long (10 trials) sessions of auditory stimulation while 19-channel EEG was recorded at 250Hz. The study examines whether auditory entrainment enhances default mode network connectivity through non-invasive acoustic brain stimulation.
This dataset comprises intracranial EEG recordings from 22 patients with drug-resistant epilepsy undergoing stereo-EEG presurgical evaluation. It contains 115 high-frequency stimulation trials evoking visual hallucinations, with 21-second iEEG recordings per trial (8 seconds pre-stimulation, up to 5 seconds stimulation, 8 seconds post-stimulation). The dataset enables investigation of brain networks underlying visually evoked effects through alternating polarity biphasic pulse stimulation.