Mapping cognitive activity from electrocorticography field potentials in humans performing NBack task.

Area of Science:

• Neuroscience
• Biomedical Engineering
• Cognitive Science

Background:

• Advancements in assistive technologies and data science are increasing the viability of invasive brain-computer interfaces (iBCIs) for individuals with physical disabilities.
• Intracortical microelectrode implants offer high temporal and spatial resolution for iBCIs, but optimal placement is crucial for effective communication.
• Identifying target brain regions for implants is challenging, especially for cognitive tasks lacking clear anatomical markers.

Purpose of the Study:

• To demonstrate the feasibility of localizing cognitive activity related to working memory using electrocorticography (ECoG).
• To identify key brain regions involved in executive memory functions for optimal iBCI implant placement.
• To propose a generalizable approach for mapping other goal-encoding factors for BCI applications.

Main Methods:

• Utilized human electrocorticography (ECoG) recordings during a working memory experiment (N-Back task).
• Analyzed field potentials from ECoG electrodes to pinpoint brain regions associated with cognitive activity.
• Developed a method to identify optimal iBCI implant locations based on cognitive task engagement.

Main Results:

• Successfully localized cognitive activity linked to working memory processes.
• Identified specific brain locations crucial for executive memory functions.
• Proposed an optimal iBCI implant strategy based on the analysis.

Conclusions:

• Meticulous preparation and identification of optimal brain regions for iBCI implants significantly improve signal richness and user experience.
• The demonstrated approach can be extended to map other cognitive factors like movement intentions, decision-making, and visual-spatial attention.
• This research validates the use of ECoG during cognitive tasks to identify valuable electrode locations for anticipated actions in BCI users.