87 results for "adaptive neurostimulation" · page 4 of 9 · ranked by relevance
…60 Hz notch filtering, and adaptive EOG artifact removal. Feature extraction employed…
This dataset comprises intracranial EEG (iEEG) recordings from 22 patients undergoing stereo-EEG presurgical evaluation for drug-resistant epilepsy, capturing responses to 115 high-frequency cortical stimulations that evoked visual hallucinations. Each recording includes 21 seconds of iEEG data surrounding each stimulation event, with detailed annotations of stimulation parameters and 14 categories of evoked clinical visual phenomena. The dataset supports investigation of brain networks underlying stimulation-evoked visual symptoms and enables construction of symptom-related activation and connectivity maps.
…Real-time adaptive classifier used during experiment, performance variable per subject ## BCI…
A large-scale longitudinal dataset of sensorimotor rhythm-based brain-computer interface (BCI) training in 62 healthy adults. The dataset comprises over 600 hours of EEG recordings across 598 sessions with more than 250,000 trials of motor imagery tasks (left hand, right hand, both hands, and rest). This resource enables investigation of BCI learning dynamics and algorithm development for non-invasive neural control applications.
…real-time adaptive RMDM classifier (calibration-free procedure) ## BCI Application - **Applications**: gaming…
This dataset contains electrocorticography (ECoG) recordings from three cohorts of C57BL/6 mice examining how transcranially delivered diagnostic ultrasound (tDUS) modulates cortical responses to a blinking light stimulus. Mice were exposed to combinations of tDUS and light stimulation, with electrodes targeting visual and somatosensory cortices, to investigate ultrasound's potential to intentionally modulate brain activity for future clinical and therapeutic applications.
[. The experiment investigates brain entrainment responses to three stimulus modalities: auditory (5kHz carrier amplitude-modulated at 40Hz), visual (20Hz flickering white LED array), and combined audio-visual stimulation. Each stimulus epoch lasted 40 seconds and was recorded using 19 monopolar EEG channels at 500Hz sampling rate. The study aims to characterize synchronized brain oscillations induced by different sensory modalities, with potential implications for understanding gamma entrainment mechanisms relevant to neurodegenerative diseases such as Alzheimer's disease.