on005356
MEG: Major Depression & Probabilistic Learning Task
MEG
…2025) Hypoactivation of ventromedial frontal cortex in major depressive disorder: an MEG…
- Participants
- 85
- Citations
- 2
- Size
- 162 GB
- Version
- v1.0.0
- Updated
- Aug 19, 2026
Discover datasets
71 results for "cortex" · page 3 of 8 · ranked by relevance
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- on004917
Probability Decision-making Task with ambiguity
ANAT DWI EEG FMAP FUNC…neural activity in the parietal cortex, the precise role of this brain…
- Participants
- 53
- Channels
- 66 (10-10)
- Citations
- 17
- Size
- 37.5 GB
- Version
- v1.0.0
- Updated
- Aug 19, 2026
- on000248ANAT MEG
The MNE-Sample-Data dataset comprises simultaneous MEG and EEG recordings acquired from a single subject using a Neuromag Vectorview system at the Martinos Center for Biomedical Imaging. The experiment involved visual stimulation (checkerboard patterns presented to left and right visual fields) and auditory stimulation (tones to left and right ears), with occasional face stimuli requiring motor responses. Structural MRI data from a 1.5 T Siemens scanner and Freesurfer-derived anatomical derivatives are included, providing a comprehensive reference dataset for MEG/EEG analysis and method development.
- Participants
- 2
- Size
- 1.93 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
- on005307
Laser-evoked potentials in the human spinal cord and cortex
EEG[
- Size
- 18.6 GB
- Version
- v1.0.0
- Updated
- Aug 19, 2026
- on003505
VEPCON: Source imaging of high-density visual evoked potentials with multi-scale brain parcellations and connectomes
ANAT DWI EEGVEPCON is a multimodal neuroimaging dataset comprising high-density EEG, structural MRI, and diffusion-weighted imaging from 20 participants performing visual discrimination tasks (face vs. scrambled faces, coherent vs. incoherent motion). The dataset includes preprocessed EEG single trials, individual brain parcellations at five spatial resolutions, structural connectomes derived from diffusion data, and EEG source imaging solutions based on individual anatomy. This resource supports multimodal methods development, structure-function relationship studies, and optimization of source imaging and graph analysis techniques.
- Participants
- 20
- Channels
- 128 (biosemi)
- Citations
- 24
- Size
- 58.2 GB
- Version
- v1.0.0
- Updated
- Jul 22, 2026
- on003352MEG
This dataset contains intracranial electrophysiological recordings acquired during visual stimulus presentation. Participants were exposed to eight spiral grating stimuli of varying colors and luminance levels, as well as color word stimuli, with each stimulus presented for 116 ms. The dataset includes event markers corresponding to each stimulus type, enabling investigation of neural responses to visual and linguistic stimuli.
- Participants
- 18
- Citations
- 1
- Size
- 214 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
- on004024
TMS-EEG-MRI-fMRI-DWI data on paired associative stimulation and connectivity (Shirley Ryan AbilityLab, Chicago, IL)
ANAT DWI EEG FUNC[
- Citations
- 7
- Size
- 1021 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
- on005241
NeuroMorph: A High-Temporal Resolution MEG Dataset for Morpheme-Based Linguistic Analysis
MEGNeuroMorph is a high-temporal resolution MEG dataset designed for morpheme-based linguistic analysis, comprising recordings from 24 subjects totaling over 17 hours of data. Data were collected using a KIT/Yokogawa MEG system to investigate visual language and cognitive processing, with a focus on morphological structure in written language comprehension.
- Participants
- 24
- Size
- 140 GB
- Version
- v1.0.0
- Updated
- Aug 19, 2026
- nm000173
Motor Imagery ataset from Ofner et al 2017
EEG…The classifier patterns indicate that mainly premotor areas, primary motor cortex, somatosensory…
- Participants
- 15
- Channels
- 61 (10-05)
- Citations
- 94
- HED
- v8.4.0
- Size
- 34.0 GB
- Version
- v1.0.3
- Updated
- Aug 18, 2026
- on004995
The Time-Course of Food Representation in the Human Brain
EEGThis dataset comprises raw EEG recordings collected to investigate the time-course of food representation in the human brain. Participants viewed food-related stimuli while EEG was recorded, enabling analysis of temporal neural dynamics underlying food perception and categorization. The dataset supports research on visual object and food representation using time-resolved decoding approaches.
- Participants
- 20
- Citations
- 14
- Size
- 27.6 GB
- Version
- v1.0.0
- Updated
- Aug 19, 2026