on005795
MULTI-CLARID (Multimodal Category Learning and Resting-state Imaging Data)
ANAT EEG FUNC
MULTI-CLARID is a multimodal neuroimaging dataset combining simultaneous fMRI and EEG recordings from participants performing an auditory category learning task and resting-state fMRI. The dataset includes 64-channel EEG (63 head channels plus ECG) with physiological monitoring (EOG, facial EMG, skin conductance), structural MRI (T1-weighted and PD-weighted UTE), and behavioral measures. This resource enables investigation of neural mechanisms underlying category learning and brain functional connectivity. Data were acquired at the Combinatorial NeuroImaging (CNI) core facility of the Leibniz Institute for Neurobiology (LIN) Magdeburg.
- Participants
- 34
- Channels
- 72 (10-10)
- Size
- 6.43 GB
- Version
- vv1.0.0
- Updated
- Jul 10, 2026