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Introduction: The EEG data was recorded using the 128-channel Amps 300 amplifier (Electrical Geodesics Inc., OR, USA) at a sampling frequency of 1000 Hz. The EEG data acquisition was conducted during the resting. Structural MRI data for the same participants were acquired at the University of Oklahoma Health Science Center (OUHSC) MRI facility using a GE MR750 scanner. The scans were obtained with GE’s BRAVO sequence, with a field of view (FOV) of 240 mm and 180 axial slices per slab Preproce

Participants

34

Size

3.00 GB

In this dataset we included iEEG recordings of responses to 41 intracranial high frequency stimulations evoking negative motor responses, in 23 patients undergoing stereo-EEG presurgical evaluation for drug-resistant epilepsy. The dataset contains 24 seconds of iEEG data around each stimulation, 9-10 seconds before the start of the stimulation, up to 5 seconds of intracranial stimulation and 9-10 seconds after the end of the stimulation. Each recording contains two 5 second epochs, pre-s

Participants

21

Size

1.04 GB

Participants

68

Size

64.1 GB

1.Study introduction: In this experiment, the intensity of laser stimulation varied individually based on participants’pain thresholds. Prior to the formal commencement of the experiment, participants underwent a series of stimuli of increasing intensity, incrementally rising from low to high in 0.25J steps until reaching the maximum tolerable intensity for each individual. Participants were instructed to verbally report the perceived pain intensity of each laser stimulation using a numerical ra

Participants

95

Size

98.9 GB

LIGHT Dataset During these guided imagery hypnotherapy sessions, a hypnotherapist integrates storytelling and deep visualizations techniques to encourage personal and wellbeing. This method allows individuals to explore and modify their subconscious narratives, in order to foster changes that resonate through their lives. This differs from traditional hypnotherapy by tapping into eudaemonic aspects of well-being, emphasizing the pursuit

Participants

9

Size

4.31 GB

This is the dataset for Leong et al. (in prep). 33 participants completed both a visual and auditory surprise task in counterbalanced order. Methodological details are contained in the manuscript. Certain participants were excluded at various stages of the analyses. Their data and event lists are included up to the stage of processing that their data reached. Due to incorrect settings specific to OpenBCI GUI v5.0.1, indicated EEG values are 24 times larger than what they should be. The units

Participants

33

Size

535 MB

# BIDS example with HED-SCORE schema library annotations The HED schema library for the Standardized Computer-based Organized Reporting of EEG (SCORE) can be used to add annotations for BIDS datasets. The annotations are machine readable and validated with the BIDS and HED validators. This example is related to the following preprint: Dora Hermes, Tal Pal Attia, Sándor Beniczky, Jorge Bosch-Bayard, Arnaud Delorme, Brian Nils Lundstrom, Christine Rogers, Stefan Rampp, Seyed Yahya Shirazi, D

Participants

1

Size

32.0 MB

Dataset description This dataset is part of a bigger dataset of intracranial EEG (iEEG) called RESPect (Registry for Epilepsy Surgery Patients), a dataset recorded at the University Medical Center of Utrecht, the Netherlands. This dataset consists of 13 patients with long-term recordings (5 patients recorded with electrocorticography and 8 patients recorded with stereo-encephalography. For a detailed description see Jelsma S.B. et al 2024, Structural and effective brain connectivity in focal ep

Participants

13

Size

44.7 GB

Each trial began with a space key press, followed by a fixation dot for 500–650 ms. Then, 2 or 6 lateral objects appeared for 1250 ms. A central cue indicated which object(s) to memorize. The other side had irrelevant objects for visual balance. After a 1000 ms delay, half the blocks showed 4 distractors (dual task), where participants identified a same-category object among them. The other half showed only fixation (single task). A colored dot gave feedback on dual task accuracy. Then, a

Participants

56

Size

40.1 GB

# Mouse Sleep Staging Validation dataset (MSSV) This dataset contains EEG recordings with sleep scores from 92 healthy mice. The recordings and sleep scores were collected from five different labs: - Department of Biomedical and Neuromotor Sciences, Università di Bologna, Italy. - Center for Translational Neuroscience, University of Copenhagen, Denmark. - Department of Neuroscience, University of Copenhagen, Denmark. - Zentrum für Experimentelle Neurologie, Department of Neurology, Inselspital

Participants

92

Size

6.08 GB