Discover datasets

This dataset comprises de-identified interictal intracranial EEG (iEEG) recordings during sleep from 185 pediatric subjects with epilepsy, collected from UCLA Mattel Children's Hospital and Children's Hospital of Michigan. The dataset includes raw iEEG data with anatomical labels and clinical metadata, along with processed derivatives containing high-frequency oscillation (HFO) detections using RMS and MNI methods. This resource supports research on pathological HFO characterization, epileptogenic zone localization, and seizure outcome prediction.

Participants

185

Size

165 GB

Version

v1.0.0

Updated

Jul 10, 2026

This dataset comprises EEG recordings and behavioral responses from participants viewing scene images and rating their aesthetic properties (beauty, complexity, interestingness) and contextual appropriateness for reading or social activities. The study investigates neural correlates of environmental perception and aesthetic judgment, with extracted behavioral data and complete stimulus set provided for reproducibility and further analysis.

Participants

26

Channels

64 (other)

Size

12.1 GB

Version

v1.0.0

Updated

Jul 10, 2026

TMNRED is a Chinese language EEG dataset comprising recordings from 30 healthy native speakers during natural reading tasks designed to investigate semantic processing mechanisms. Participants read text stimuli (15-20 characters) presented as news headlines or short sentences, with each participant completing 8 blocks of 400 trials. The dataset includes both raw and preprocessed EEG data organized according to BIDS standards. Sensor-level EEG analyses have been performed to examine neural responses to target and non-target semantic items.

Participants

30

Channels

30 (10-10)

Size

17.4 GB

Version

v1.0.0

Updated

Jul 10, 2026

This MEG dataset comprises neurophysiological recordings from 90 participants (38 controls, 52 with major depressive disorder) performing a probabilistic learning task during a 306-sensor Elekta Neuromag acquisition. The study investigates reward positivity and ventromedial prefrontal cortex activation patterns in major depressive disorder using reinforcement learning paradigms. Participants were clinically characterized using structured diagnostic interviews (SCID) to establish diagnostic group membership. Note: Anatomical MRI (T1) and resting-state data are planned for future release.

Participants

85

Size

159 GB

Version

v1.0.0

Updated

Jul 10, 2026

This dataset comprises simultaneous naturalistic fMRI and MEG recordings from 60 participants (30 per modality) who watched a 25-minute excerpt from a Chinese reality TV show. The study captures brain activity during both active viewing with comprehension assessment and subsequent spontaneous mental replay, providing a rich multimodal neuroimaging resource for investigating naturalistic cognition and inter-subject correlation analyses in ecologically valid contexts.

Participants

60

Size

112 GB

Version

v1.0.0

Updated

Jul 10, 2026

This dataset comprises EEG recordings from 43 infants aged 5-10 months during a passive viewing task involving relaxing videos with attention-grabbing cues. The study investigates infant neural microstates and attentional processes as part of a larger investigation into the effects of bias and discrimination on maternal health and infant neurodevelopment. High-density EEG was recorded using a 128-channel geodesic sensor net while infants watched video stimuli presented in controlled laboratory conditions.

Participants

43

Channels

129 (egi-geodesic)

Citations

1

Size

26.5 GB

Version

v1.0.0

Updated

Jul 10, 2026

This dataset contains auditory brainstem response (ABR) recordings from 15 participants exposed to continuous peaky speech and click stimuli varying in fundamental frequency. The study investigates whether fundamental frequency (f0) is the primary driver of talker-dependent differences in ABRs by systematically manipulating f0 across male and female narrators at three frequency levels (123, 150, 183 Hz) and comparing responses to click trains at matched rates. EEG data were collected using Brain Products equipment with stimuli presented via insert earphones at 65 dB SPL.

Participants

15

Channels

2

Size

19.1 GB

Version

v1.0.0

Updated

Jul 10, 2026

This dataset comprises laser-evoked potentials recorded simultaneously from the human spinal cord and cortex. The study investigates nociceptive processing across multiple levels of the somatosensory system using high-resolution electrophysiological recordings. Data include EEG and spinal cord recordings from multiple subjects, providing insights into pain-related neural activity from peripheral to central nervous system levels.

Participants

7

Channels

72 (other)

Size

18.6 GB

Version

v1.0.0

Updated

Jul 10, 2026

This dataset comprises resting-state EEG recordings and cognitive task performance data from 165 recruited participants, of which 140 constitute the final analyzed sample (ages 18-35) collected across two sessions. The study investigates the relationship between intrinsic brain spatio-temporal dynamics, assessed via EEG microstates during rest, and executive function performance measured through a comprehensive battery of nine cognitive tasks. The dataset includes 64-channel EEG recordings acquired at 512 Hz and behavioral measures from standardized executive function assessments.

Participants

165

Channels

64 (biosemi)

Size

6.41 GB

Version

v1.0.0

Updated

Jul 22, 2026

This event-related potential (ERP) study investigates semantic and syntactic language processing in deaf readers by examining neural responses to grammatical violations and semantic anomalies. Participants viewed 180 sentences presented in rapid serial visual presentation (RSVP) format while EEG was recorded, with conditions including subject-verb agreement violations, semantic violations, combined violations, word-order violations, and correct control sentences. The research provides insights into the neural mechanisms underlying language comprehension in deaf populations.

Participants

62

Channels

32 (10-10)

Size

8.52 GB

Version

v1.0.0

Updated

Jul 10, 2026