Resting-state EEG dataset from 149 participants, including 100 individuals with Parkinson's disease and 49 controls. Recordings were acquired with a 64-channel BrainVision system during two minutes of eyes-open rest. The data support investigation of neural correlates of cognitive dysfunction in Parkinson's disease.
This dataset contains behavioral events and electrophysiological (EEG) recordings from a hybrid spatial-navigation and free recall experiment in which participants act as couriers delivering items to stores in a virtual town and later recall their deliveries. Sessions were either read-only, used to collect training data, or closed-loop, in which classifier predictions of memory encoding were used to time stimulus presentation. It represents the non-invasive portion of a project aimed at improving memory through closed-loop stimulus timing optimization.
…Stimuli include eight different square wave spiral gratings subtending 10 degrees of…
EEG dataset investigating visuo-spatial working memory (VSWM) for sequences during a computerized spatial span task in younger and older healthy adults. The study examines whether theta and gamma oscillatory dynamics reflect item-level sequence encoding and recall, and how these processes change in healthy cognitive aging. Results indicate that later gamma power during encoding and theta-gamma phase amplitude coupling during recall track serial position, and may be preserved with aging.
…Steps: - peak detection in the >500 Hz high-passed signal; - wavelet features…
Resting-state EEG recorded with a 128-channel EGI system from participants who also underwent structural MRI. The dataset was first reported in a study of whole-brain electrophysiological functional connectivity dynamics in resting-state EEG. Data were preprocessed with band-pass and notch filtering, artifact and bad-channel handling, average re-referencing, and downsampling to 250 Hz.
…Sleep quality was assessed with the Pittsburgh Sleep Quality Index (PSQI; Buysse…
This dataset contains four-minute eyes-closed resting-state EEG recordings extracted from the Stimulus-Selective Response Modulation (SRM) project paradigm at the University of Oslo. It includes 64-channel BioSemi recordings from 111 healthy control participants at a first session (t1), with a subset re-recorded at a later session (t2). Raw data are provided with a fully automated cleaned derivative, along with demographic and cognitive test scores.
EEG recordings from 13 healthy participants performing an auditory oddball (P300) paradigm with target (1000 Hz) and non-target (500 Hz) tones at stimulus onset asynchronies between 60 and 600 ms. The study evaluated closed-loop Bayesian optimization and random search to find each individual's best stimulation speed for maximizing classification performance of a regularized LDA. The data comprise 31-channel EEG sampled at 1000 Hz, with an optimization part and a validation part.
…including independent component analysis and wavelet-enhanced artifact removal. It allows for…