Categorized Free Recall with Closed-Loop Stimulation at Encoding (Encoding Classifier)
…electrical stimulation of the brain during encoding. There is no stimulation during…
- Participants
- 9
100 results for "non-invasive brain stimulation" · page 10 of 10 · ranked by relevance
…electrical stimulation of the brain during encoding. There is no stimulation during…
NEMAR Dataset nm000103: HBN-EEG NC - Healthy Brain Network EEG data
This dataset comprises EEG recordings from 15 healthy participants performing self-initiated reach-and-grasp motor tasks using three different recording systems: gel-based laboratory equipment, water-based mobile EEG, and dry-electrode mobile EEG. Data were acquired at 256 Hz from 58 EEG channels plus 6 EOG channels across three sessions with a total of 7,200 trials. Participants executed palmar and lateral grasp actions toward objects while EEG signals were recorded. The study investigates the feasibility of decoding natural reach-and-grasp neural correlates across different EEG acquisition modalities for brain-computer interface applications.
This dataset documents a double-blind case study examining the physiological effects of directed therapeutic intent on live and damaged cells. A self-described practitioner of energy medicine participated in 40 sessions over 10 days, with concurrent collection of physiological data. The study employed randomized cell presentation across three distinct conditions: live cells (40 sessions), dead/x-rayed cells (10 sessions), or medium only/no cells (10 sessions), under conditions of experimenter and practitioner blinding. Each session consisted of five segments: 2-minute baseline (no cells present), 5-minute treatment (practitioner still), 5-minute treatment (movement allowed), 5-minute treatment (practitioner still), and 2-minute post-treatment baseline. Matched control samples were processed by a sham therapist in a separate location to account for temporal and equipment effects.
…were derived from concurrently recorded invasive EMG and curated by an experienced…
…Towards decoding individual words from non-invasive brain recordings. Nature Communications 16…
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.
…Each *eeg.edf file contains EEG data from one stimulation rate (see…