96 results for "entorhinal cortex" · page 6 of 10 · ranked by relevance
[ recordings from human patients, rodents, pigs, and non-human primates acquired using novel flexible, scalable, high-resolution micro-stereo-electrodes. The study evaluates the performance of these custom-fabricated depth electrodes for neural recording and includes direct electrical stimulation experiments to assess stimulation effects on brain activity. Raw and preprocessed epoched data are provided in iEEG-BIDS format with accompanying channel maps and derivatives.
…Sensors are placed over the motor cortex as described in the montage…
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.
…https://doi.org/10.1016/j.cortex.2023.08.004 Analysis code…
This dataset contains magnetoencephalography (MEG) and structural magnetic resonance imaging (MRI) data from adolescent participants with major depressive disorder and healthy controls during a monetary gambling mood induction task and resting state. The study investigates electrophysiological correlates of mood and reward dynamics in human adolescents through pre-registered analyses of task-based and resting-state neuroimaging data.
…10.1016/j.cortex.2017.02.021. EEG published here: 10.1016…
This dataset contains behavioral events and electrophysiological recordings from a hybrid spatial-navigation and free recall experiment conducted at the University of Pennsylvania (2021-2022). Participants performed a virtual courier task delivering items across a town, followed by recall testing. The experiment comprised two phases: read-only sessions for generating classifier training data, and closed-loop sessions where stimulus presentation timing was optimized based on real-time neural predictions of memory encoding. The dataset supports investigation of spatial memory dynamics and the efficacy of classifier-based closed-loop stimulation for memory enhancement.
…10.1016/j.cortex.2017.02.021. EEG published here: 10.1016…
The MNE-Sample-Data dataset comprises simultaneous MEG and EEG recordings acquired from a single subject using a Neuromag Vectorview system at the Martinos Center for Biomedical Imaging. The experiment involved visual stimulation (checkerboard patterns presented to left and right visual fields) 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.