Healthy Brain Network (HBN) EEG - Release 10
…This data was originally recorded within the behavior directory of the HBN…
- Participants
- 533
- Channels
- 129 (egi-geodesic)
- Citations
- 22
- Size
- 161 GB
- Version
- v1.0.0
- Updated
- May 25, 2026
…This data was originally recorded within the behavior directory of the HBN…
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.
…This data was originally recorded within the behavior directory of the HBN…
…This data was originally recorded within the behavior directory of the HBN…
Preprocessed EEG recordings from 20 individuals with a schizophrenia spectrum disorder and 22 healthy control participants performing a visual motion discrimination task with confidence reporting. Motion coherence was adjusted per individual with a staircase procedure to equate performance between groups, allowing study of perceptual decision-making and metacognition in schizophrenia.
…This data was originally recorded within the behavior directory of the HBN…
EEG dataset from a visual search task eliciting the N2pc event-related potential, collected as part of the PURSUE project. Participants were recruited at three primarily undergraduate institutions (Southern California, Massachusetts, and Virginia) in 2017 and 2018. The task follows the ERP CORE paradigm.
…This data was originally recorded within the behavior directory of the HBN…
This dataset contains EEG recordings from 34 participants (one session each) who viewed 242 object images, 121 challenge and 121 control images, selected from comparisons between human behavioural performance and AlexNet. The study examines adaptive recruitment of cortex-wide recurrent processing during visual object recognition. The derivatives folder contains outputs of the decoding analyses, including time-resolved decoding accuracy matrices for object identity (.npz).
Mobile EEG dataset from 18 participants performing tasks outdoors: resting eyes open/closed, an auditory oddball task while standing, walking alone, or walking with an experimenter, and walking-together conditions (natural, blinded control, synchronized). Each participant was recorded twice, once with active and once with passive electrodes, in counterbalanced order. The dataset supports comparison of electrode types and study of EEG during real-world walking and interpersonal step synchronization.