…The purpose of these cognitive and psychometric tests is two-fold. First…
Release 6 of the HBN-EEG dataset, the EEG component of the Child Mind Institute Healthy Brain Network project, organized in BIDS format. It contains EEG recordings and behavioral responses from 134 participants aged 5-21 performing three passive tasks (resting state, surround suppression, movie watching) and three active tasks (contrast change detection, sequence learning, symbol search). Events carry HED annotations, and psychopathology factors derived from the CBCL (p-factor, attention, internalizing, externalizing) are provided alongside basic quality-control results.
…participants performed a battery of cognitive and perceptual paradigms. The resource was…
Raw EEG recordings from 20 individuals with a schizophrenia spectrum disorder and 22 healthy control participants performing a random-dot motion discrimination task. After each left/right decision, participants rated their confidence on a visual analog scale. The dataset supports investigation of perceptual decision-making and metacognition in schizophrenia.
…Should be coming out in Cognitive, Affective, & Behavioral Neuroscience. THIS IS EXPERIMENT…
Stereo-EEG recordings from 20 patients with pharmacoresistant epilepsy performing a sequential three-operand arithmetic task during presurgical evaluation. The deposit contains preprocessed, bipolar-referenced epochs (-2 to +7 s around the first operand, 512 Hz) from 1518 bipolar channels, with MNI contact coordinates. It supports analyses of the temporal order of activations and interactions in numerical cognition. It is released as a BIDS derivative of the authors' Zenodo deposit.
…is now coming out in Cognitive, Affective, & Behavioral Neuroscience. Your best bet…
EEG dataset from a single healthy young adult examining how auditory, visual, and combined audio-visual stimulation entrain gamma-band brain oscillations. Gamma entrainment has been proposed as a therapeutic approach for Alzheimer's disease symptoms. The session consists of three 40-second stimulation epochs, using a 40 Hz amplitude-modulated auditory tone, a 20 Hz LED flicker, and both together.
…repository for the project (https://github.com/Social-Cognitive-Neuroscience-Lab/EEGMoralization)
De-identified resting-state (eyes open) EEG recordings from individuals with Parkinson's disease and age-matched healthy controls. Each participant is labeled as living or deceased, so the data can be used to test whether resting EEG distinguishes later mortality. The dataset supports exploration of EEG biomarkers of mortality risk and development of machine learning classifiers.