TDCS Modulation of Visual Cortex in Motor Imagery
Imported from OpenNeuro ds006126
- Size
- 1.08 GB
- Updated
- May 23, 2026
100 results for "brain network dynamics" · page 9 of 10 · ranked by relevance
Imported from OpenNeuro ds006126
…MEG-BIDS, the brain imaging data structure extended to magnetoencephalography. Scientific Data…
[, in test: 'PATTERN…
A multi-day, high-quality EEG dataset for motor imagery brain-computer interface research comprising 51 healthy subjects performing left and right hand motor imagery tasks across three sessions, with an additional 11 subjects performing 3-class motor imagery (left hand, right hand, foot). The dataset includes 59 EEG channels sampled at 1000 Hz with standardized 10-05 electrode montage, totaling 39,600 trials (51 subjects × 3 sessions × 200 trials for 2-class + 11 subjects × 3 sessions × 300 trials for 3-class) with visual and auditory cues. This resource is designed to support the development and benchmarking of motor imagery BCI algorithms and classifiers.
…The study name was "Braingraph" and study agreement number was 2014-A01461…
…LDA, SVM, Neural Network, Naive Bayes, RBF Neural Network - **Feature extraction**: CSP…
The Podcast ECoG dataset provides intracranial electrophysiological recordings from 9 participants with 1,330 electrodes during natural story listening. This dataset combines high spatiotemporal resolution human electrocorticography with a naturalistic language comprehension paradigm, including raw and preprocessed high-gamma data, auditory stimuli, word-level transcripts, and linguistic features from acoustic properties to large language model embeddings. The resource includes tutorials and serves as both a pedagogical tool and foundation for investigating neural mechanisms of narrative comprehension.
This dataset comprises simultaneous EEG and fMRI recordings from 33 healthy human participants during sleep and wakefulness. The study captures coordinated electrophysiological and hemodynamic signals using a 32-channel MR-compatible EEG system synchronized with BOLD fMRI acquisition. The experimental protocol includes anatomical imaging, resting-state sessions before and after a visual-motor adaptation task, and multiple sleep sessions with corresponding sleep stage annotations. EEG signals provide direct measures of electrophysiological activity and sleep stage information, while fMRI captures hemodynamic responses, enabling investigation of the relationship between neural activity during sleep-wake transitions.
…of this brain region and its interactions with other brain regions during…