…2 - **Artifact methods**: ICA, SGEYESUB (Sparse Generalized Eye Artifact Subspace Subtraction), IClabel…
Mobile brain/body imaging (MoBI) dataset of scalp EEG recorded during split-belt treadmill walking to study cortical activity related to locomotor adaptation. Thirty participants completed abrupt and gradual split-belt walking paradigms with a 2:1 belt speed ratio.
…bandpass filtering (5-48 Hz), notch filtering (50 Hz), artifact removal (AMUSE…
This dataset contains EEG recordings from two chronic post-stroke patients with anomia (one left-hemisphere and one right-hemisphere lesion) who took part in an 8-week individualized transcranial alternating current stimulation (tACS) intervention. Stimulation and non-stimulation phases alternated every two weeks in a single-case ABAB design. EEG was recorded during a picture naming task across intervention and follow-up sessions to examine whether tACS improves naming accuracy and latency and whether the effects persist.
…Note that since some artifact rejection procedures were performed at the single…
EEG recordings from two chronic post-stroke anomia patients (one left-hemisphere and one right-hemisphere lesion) who took part in an 8-week individualized transcranial alternating current stimulation (tACS) intervention. Stimulation and non-stimulation phases alternated every two weeks in a single-case ABAB design. EEG was recorded during a picture naming task at intervention weeks and follow-ups to assess effects of tACS on naming accuracy and latency.
…notch filtering (60 Hz), and artifact removal. The dataset contains 3,600…
EEG recordings from participants viewing object and word stimuli presented in rapid serial streams at 5 Hz to the left visual field, the right visual field, or centrally. Participants performed an orthogonal red target detection task while stimuli were shown. The dataset supports investigation of the temporal dynamics of visual object coding within and across the cerebral hemispheres, particularly for objects in peripheral vision.
…The EEG data have undergone preprocessing, including pulse artifact removal, using the…
HAD-MEEG is a magnetoencephalography (MEG) and electroencephalography (EEG) dataset on human action recognition. It extends the Human Action Dataset fMRI resource (HAD-fMRI) and was recorded in the same 30 participants with the same stimuli, 21,600 video clips spanning 180 categories of human action. The millisecond temporal resolution of M/EEG complements the spatial precision of fMRI, enabling spatiotemporal study of the neural mechanisms of action recognition.