FT
Imported from OpenNeuro ds004855
- Participants
- 1
- Channels
- 64 (10-10)
- Citations
- 3
- HED
- v8.1.0
- Size
- 78.9 MB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
100 results for "intracranial electroencephalography" · page 7 of 10 · ranked by relevance
Imported from OpenNeuro ds004855
…nemar.on007118) This dataset contains intracranial EEG data recorded during non-REM…
This dataset comprises EEG recordings and behavioral data from 300 face, illusory face, and matched non-face object stimuli presented during three tasks: spontaneous dissimilarity judgments, face-likeness ratings, and face/object discrimination. Neural activity was recorded while participants performed an orthogonal target detection task during stimulus presentation at 3.75 Hz, enabling investigation of the neural correlates underlying distinct stages of spontaneous face perception.
…nemar.on007119) This dataset contains intracranial EEG data recorded during non-REM…
…Bilingual sEEG Speech Dataset ============================================= Overview -------- Intracranial EEG (sEEG) recordings from 2 epilepsy…
…of a bigger dataset of intracranial EEG (iEEG) called RESPect (Registry for…
This dataset comprises raw 64-channel EEG, ECG, PPG, and behavioral data collected from 30 healthy young adults during resting-state and verbal working memory tasks. Participants completed a digit-span serial recall task under four stimulus presentation modes (simultaneous, fast, fast+delay, and slow sequential), enabling investigation of neural and physiological correlates of encoding, maintenance, and retrieval. The dataset supports research on working memory load classification and the relationship between oscillatory brain activity, autonomic signals, and behavioral performance.
…brain–computer interface (BCI), electroencephalography (EEG), code-modulated visual evoked potentials (cVEPs…
…Description The dataset contains processed intracranial EEG recordings from frontal (LMFG, RMFG…
This dataset comprises scalp EEG recordings from 45 participants during passive listening to a naturalistic 12.4-minute audiobook excerpt (first chapter of Alice's Adventures in Wonderland). The study investigates how the brain constructs hierarchical syntactic structure and generates rapid linguistic predictions during continuous speech comprehension. Each word event is annotated with linguistic predictors including lexical frequency, acoustic properties, and surprisal estimates from n-gram, recurrent neural network, and context-free grammar models.