100 results for "deep brain stimulation" · page 7 of 10 · ranked by relevance
…This study contains closed-loop electrical stimulation of the brain during encoding…
This dataset contains scalp EEG recordings from 28 participants performing or imagining upper-limb rehabilitation exercises under a multi-paradigm protocol. It was designed to support research on motor-imagery-based brain–computer interfaces (BCI) for upper-limb rehabilitation. The data have been converted to BIDS format from the original dataset published by Chang et al. (2025).
This dataset comprises 32-channel EEG recordings collected during a sham neurofeedback experiment conducted in a virtual reality environment. Participants underwent four conditions—positive feedback, negative feedback, control, and resting-state (eyes open/closed)—designed to examine how feedback valence influences alpha-band activity during an attentional task. The data were originally recorded in NeuroScan .cnt format and converted to BIDS using MNE-BIDS.
This dataset presents a case study examining the physiological effects of directed therapeutic intent, as practiced by a self-identified energy medicine practitioner, on live versus damaged (irradiated) cell cultures. Using a double-blind, randomized design, the practitioner underwent 60 sessions total (40 with live cells, 10 with medium only, and 10 with dead/x-rayed cells), each structured into baseline, treatment, and control segments while physiological recordings were obtained. The study aimed to investigate potential correlations between practitioner physiology and cellular outcomes under controlled conditions.
…The intervention alternated between stimulation and non-stimulation phases every two weeks…
…electrical stimulation of the brain during encoding. There is no stimulation during…
This dataset comprises electroencephalography (EEG) recordings from 28 Parkinson's disease patients and 28 matched healthy controls performing a reinforcement learning task with volitional and instructed choice conditions. Parkinson's patients were tested twice within one week under both ON and OFF medication states, while controls participated in a single session. The study investigates neural correlates of reinforcement learning and decision-making in Parkinson's disease, with concurrent accelerometer recordings from the most tremor-affected hand.
Imported from OpenNeuro ds004022
…Each *eeg.edf file contains EEG data from one stimulation rate (see…
This dataset contains EEG recordings from 14 healthy participants performing a covert attention task with real-time neurofeedback based on alpha power lateralization. The study investigates whether real-time EEG feedback on alpha power lateralization can lead to behavioral improvements in a covert attention task, employing a single-blinded crossover design comparing real versus sham feedback conditions across three recording sessions.