Synapse
⌘+K
Synapse
PulseExploreClubsResearchersJournals
Instagram
HomeClubsExplore
December 8, 2025Journal of Neural EngineeringOpen Access

sEEG-Based brain-computer interfacing in a large adult and pediatric cohort

View Full Paper
Ask AI
Bookmark
Share

Authors

MJMichael A. JensenGSGerwin SchalkGWGregory A. Worrell

Discussion

Loading...

Member takes

Overview

Observational analysis demonstrates control during movement and imagery in patients, suggesting unique motor system dynamics.

Key Points

  • Control defined as over 80% accuracy was achieved in 26 subjects during overt movement BCI tasks, but lower in motor imagery.
  • Participants included 27 subjects with diverse backgrounds and 31 total feedback experiments conducted to assess brain activity related to movement.
  • Implementation of stereoelectroencephalography-based brain-computer interfacing showed distinct subpopulations during motor imagery and overt movement tasks.
  • Findings highlight potential differences in network dynamics engaged by feedback and kinesthetic imagery, calling for future BCI advancements.

Cite This Study

Jensen et al. (2025) studied this question.

synapsesocial.com/papers/694020d72d562116f28fa78bhttps://doi.org/10.1088/1741-2552/ae2955
View Full Paper
Ask AI
Bookmark
Share

Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1Broadband Shifts in Local Field Potential Power Spectra Are Correlated with Single-Neuron Spiking in Humans2009 · 1,112 citations
  2. 2Neuronal Population Coding of Movement Direction1986 · 3,250 citations
  3. 3An Integrated Brain-Machine Interface Platform With Thousands of Channels2019 · 1,104 citations
  4. 4Movement decoding using neural synchronization and inter-hemispheric connectivity from deep brain local field potentials2015 · 36 citations
  5. 5Decoding two-dimensional movement trajectories using electrocorticographic signals in humans2007 · 536 citations