Oikonomou2016 – SSVEP MAMEM 3 dataset
…GeForce GTX 860M with vertical synchronization enabled ## HED Event Annotations Schema: HED…
- Participants
- 11
- Citations
- 39
- HED
- v8.4.0
- Size
- 119 MB
- Version
- v1.0.0
- Updated
- May 16, 2026
100 results for "Electrocortical alpha synchronization" · page 6 of 10 · ranked by relevance
…GeForce GTX 860M with vertical synchronization enabled ## HED Event Annotations Schema: HED…
64-ch EEG, 95 subjects, 2 sessions, 6 paradigms (13 tasks). BrainAmp 250Hz Easycap 64-ch. DOI:10.1016/j.neuroimage.2022.119666
…correlation (ICC) in absolute EEG alpha power (8-13 Hz) of all…
This dataset comprises simultaneous EEG and fMRI recordings from 10 subjects performing motor imagery and neurofeedback tasks. Participants completed six runs including motor localization, pre- and post-neurofeedback motor imagery, and three neurofeedback conditions (bimodal EEG-fMRI, unimodal EEG, and unimodal fMRI). The dataset provides both raw and preprocessed EEG data (64 channels at 5 kHz), structural and functional MRI data (3T Siemens, 2×2×4 mm³ resolution), and computed neurofeedback scores, enabling multi-modal neuroimaging data integration studies.
…lowpass filtering, bandpass filtering, notch filtering, rectification, downsampling/upsampling, baseline correction, synchronization…
…raw EEG with hardware tagging (USB digital-to-analog converter for synchronization…
This dataset comprises intracranial EEG recordings from a single patient undergoing single-pulse electrical stimulation, collected at Mayo Clinic as part of an NIH-funded initiative to develop a comprehensive database of stimulation responses. The study aims to advance understanding of human brain connectivity and network responses to electrical stimulation across the lifespan through systematic analysis of evoked potentials and network effects.
…The stimuli included all 26 letters of the English alphabet, as well…
This dataset comprises simultaneous EEG and fNIRS recordings from 12 participants performing semantic imagery tasks involving silent naming and sensory-based imagination of animals and tools. Participants engaged in visual, auditory, and tactile perception tasks while neural activity was captured using a 64-channel BioSemi EEG system and a NIRx fNIRS imaging system with integrated optodes. The multimodal neuroimaging data supports research in semantic decoding and brain-computer interface applications.
…learning, Riemannian_geometry - **Frequency bands**: alpha_mu=[8.0, 15.0] Hz…