on003944
EEG: First Episode Psychosis vs. Control Resting Task 1
EEG
[
- Citations
- 37
- Size
- 6.15 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
Discover datasets
100 results for "neurophysiological alterations" · page 8 of 10 · ranked by relevance
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- on003374
Dataset of neurons and intracranial EEG from human amygdala during aversive dynamic visual stimulation
iEEGThis dataset comprises intracranial EEG recordings and single-unit neuronal activity from the human amygdala of nine epilepsy patients during exposure to dynamic visual stimuli with aversive (fearful faces) and neutral (landscape) content. The recordings enable investigation of amygdalar responses to emotional stimuli across multiple spatial scales, from macroscopic field potentials to microscopic neuronal firing patterns. Data are provided in BIDS format with extended neuronal spike data available in NIX standard.
- Participants
- 9
- Size
- 297 MB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
- on005289
39 By BP
EEG[
- Size
- 22.1 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
- nm000271
Chang et al. 2025 — A multi-paradigm EEG dataset for studying upper limb rehabilitation exercises (Lanzhou Jiaotong University)
EEGA multi-paradigm EEG dataset comprising scalp electroencephalography recordings from 28 participants performing and imagining upper-limb rehabilitation exercises. This dataset is designed to support research on motor imagery and rehabilitation brain-computer interfaces (BCI) for upper-limb motor function recovery and assessment.
- Participants
- 28
- Citations
- 2
- Size
- 3.46 GB
- Version
- v1.0.1
- Updated
- Jul 10, 2026
- on004356
Subcortical responses to music and speech are alike while cortical responses diverge
EEGThis dataset comprises Auditory Brainstem Response (ABR) recordings from 22 healthy young adults (ages 22.7 ± 5.1 years) obtained during continuous presentation of music and speech stimuli. Using a deconvolution method applied to EEG data collected from June to August 2021, the study investigates subcortical and cortical neural responses to different acoustic categories. The dataset includes raw EEG recordings in BrainVision format, stimulus files, and detailed event metadata enabling analysis of neural differentiation between music and speech processing. Two subjects (014 and 021) were excluded due to self-withdrawal and technical data collection issues, respectively.
- Participants
- 22
- Channels
- 34 (10-10)
- Size
- 213 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
- on007114
SUBEMOcondEEG1
BEH EEG[
- Size
- 21.6 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
- on002799
Human es-fMRI Resource: Concurrent deep-brain stimulation and whole-brain functional MRI
ANAT FMAP FUNC iEEGThis dataset comprises concurrent deep-brain electrical stimulation and whole-brain functional MRI data from 26 patients with medically refractory epilepsy. Patients underwent intracranial electrode implantation for clinical purposes, with one or multiple electrode contacts stimulated during fMRI acquisition using block design protocols. The resource includes anatomical imaging (T1, T2), resting-state fMRI, electrical stimulation-fMRI (es-fMRI) scans, field maps, electrode coordinates, and stimulation parameters, along with preprocessed derivatives.
- Participants
- 26
- Size
- 175 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
- on007222
Visual Occlusions with Treadmill Walking Speeds EEG
EEG…project ran *** - [ To understand the neurophysiological responses of visual processing, we investigated…
- Participants
- 15
- Channels
- 120 (other)
- Size
- 3.31 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
- on006839
EEG recordings during sham neurofeedback in virtual reality
EEGThis dataset comprises EEG recordings acquired during a sham neurofeedback experiment conducted in virtual reality, investigating how feedback valence modulates alpha-band activity during attentional tasks. Participants received positive, negative, or control feedback while performing an attentional task, with additional resting-state recordings (eyes open and closed). Data were collected using a 32-channel SynAmps RT system and converted to BIDS format.
- Participants
- 36
- Channels
- 29 (10-10)
- Size
- 10.4 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
- nm000154
on001787
EEG- Participants
- 24
- Channels
- 64
- HED
- v8.4.0
- Size
- 5.69 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026