39 results for "acute stroke" · page 3 of 4 · ranked by relevance
…independently ### Exclusion criteria: - History of stroke or major neurological disorder - Brain surgery…
…six patients recorded intraoperatively using electrocorticography (acute ECoG), six patients with long…
…as dementia, Parkinson disease, or stroke); cardiovascular, oncological, and eye diseases; psychiatric…
This dataset comprises intracranial EEG (iEEG) recordings from ten pediatric epilepsy patients undergoing intracranial monitoring for seizure localization, recorded while they performed a visuomotor task. Subjects completed five sessions of Speed Match, a finger-tapping visuomotor game on the Lumosity platform, during interictal periods. The dataset provides continuous iEEG signals along with trial timing information for finger tapping events, supporting research into visuomotor processing and cortical dynamics in epilepsy patients.
…Blood and urine samples are taken and a complete blood count, acute…
This dataset comprises EEG recordings from 54 healthy participants performing a P300-based brain-computer interface speller task, designed to investigate BCI illiteracy. The study includes 62 EEG channels and 4 EMG channels sampled at 1000 Hz, with participants completing offline training and online test phases using a 36-symbol row-column speller paradigm. The dataset achieved 96.7% accuracy with an 11.1% BCI illiteracy rate, providing a comprehensive resource for evaluating P300-based BCI performance and individual differences in BCI competence.
This dataset contains intracranial EEG recordings from four epilepsy patients undergoing single pulse electrical stimulation, collected to develop and validate CARLA, an adjusted common average referencing method for cortico-cortical evoked potential (CCEP) analysis. The data were recorded at Mayo Clinic and support methodological research on referencing schemes for intracranial stimulation-response data. This release includes raw data sufficient to reproduce most published results, with some data censored pending future publications.
A preprocessed EEG dataset comprising motor imagery recordings from 14 healthy participants performing imagined right-hand tapping, left-hand tapping, and rest tasks. The dataset contains 1,665 trials acquired at 1024 Hz using a 19-channel montage with standard 10-20 electrode placement. Data have been preprocessed with ICA artifact removal and frequency filtering, and include annotations for motor imagery classification and brain-computer interface applications.
This dataset comprises intracranial EEG (iEEG) recordings from 22 patients undergoing stereo-EEG presurgical evaluation for drug-resistant epilepsy, capturing responses to 115 high-frequency cortical stimulations that evoked visual hallucinations. Each recording includes 21 seconds of iEEG data surrounding each stimulation event, with detailed annotations of stimulation parameters and 14 categories of evoked clinical visual phenomena. The dataset supports investigation of brain networks underlying stimulation-evoked visual symptoms and enables construction of symptom-related activation and connectivity maps.