92 results for "neurological sequelae" · page 4 of 10 · ranked by relevance
…or medication, - History of severe neurological or psychiatric disorders, - Severe health problems…
EEG dataset containing recordings from multiple subjects. This dataset is mirrored on NEMAR from OpenNeuro (ds002833) and contains raw EEG data in BIDS format.
…Participants * **N = 120** right‑handed, neurologically healthy adults with normal or corrected…
This dataset contains EEG recordings from twenty-one participants performing a continuous feedback learning task in which they predicted the final height of an animated rising bar following different predictive cues. The task manipulated outcome predictability (highly predictable, somewhat predictable, unpredictable) using cued gnome stimuli, allowing investigation of neural correlates of continuous feedback and reward prediction processing.
…and reported no history of neurological disorders. Written informed consent was obtained…
This dataset comprises intracranial EEG (iEEG) recordings from 23 patients undergoing stereo-EEG presurgical evaluation for drug-resistant epilepsy, capturing 41 instances of high-frequency cortical stimulation that evoked negative motor responses. Each recording includes pre- and post-stimulation epochs used for connectivity analysis, along with detailed stimulation parameters. The dataset supports research into the cortical networks underlying negative motor phenomena elicited by direct electrical stimulation.
…and reported no history of neurological disorders. Written informed consent was obtained…
Imported from OpenNeuro ds002778
…education, presence of pre-diagnosed neurological disorders. ### Methods ##### Subjects * Participants (N = 98…
This dataset contains de-identified resting-state EEG recordings from individuals with Parkinson's disease and age-matched healthy controls, collected to investigate whether EEG signals can predict mortality outcomes. Each subject is labeled as either 'living' or 'deceased' in the participants file, with no additional demographic or clinical information provided. The dataset is intended to support research on EEG biomarkers of mortality risk and machine learning classification approaches in Parkinson's disease populations.