Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

Association Areas of the Cortex

Association Areas of the Cortex

Association areas are regions of the cerebral cortex that do not have a specific sensory or motor function. Instead, they integrate and interpret information from various sources to enable higher cognitive processes such as memory, learning, and decision-making. Some key association areas include the following:
Prefrontal Association Area: This area is located in the frontal lobe and is involved in planning, decision-making, and moderating social behavior. It connects with primary motor areas,...

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by

Same author

An AI system to help scientists write expert-level empirical software.

Nature·2026

Same author

Post-Ictal Sleep Changes in Human Focal Epilepsy.

The Journal of neuroscience : the official journal of the Society for Neuroscience·2026

Same author

Safety of Intracranial Neuromodulation in Drug-Resistant Pediatric and Adult Epilepsy.

Neurology·2026

Same author

Hypersynchronous iPSC-derived SHANK2 neuronal networks are rescued by mGluR5 agonism.

Stem cell reports·2025

Same author

The lab streaming layer for synchronized multimodal recording.

Imaging neuroscience (Cambridge, Mass.)·2025

Same author

A Mediastinal Neuroblastoma in a 31-Year-Old Woman Presenting After a Prolonged Indolent Course: A Report and Review of Literature.

International journal of surgical pathology·2025

Search research articles

Related Experiment Video

Updated: Nov 7, 2025

Investigating the Deployment of Visual Attention Before Accurate and Averaging Saccades via Eye Tracking and Assessment of Visual Sensitivity

Investigating the Deployment of Visual Attention Before Accurate and Averaging Saccades via Eye Tracking and Assessment of Visual Sensitivity

Published on: March 18, 2019

Decoding Saccade Intention From Primate Prefrontal Cortical Local Field Potentials Using Spectral, Spatial, and

Renée Johnston¹, Guillaume Doucet¹, Chadwick Boulay¹

¹Ottawa Hospital Research Institute, 725 Parkdale Ave., Ottawa, ON, K1Y 4E9, Canada.

International Journal of Neural Systems

|May 1, 2021

Summary

Researchers explored using brain signals from the lateral prefrontal cortex (LPFC) to improve brain-computer interfaces (BCIs). They found that Local Field Potential (LFP) signals can decode intended eye movements, enhancing BCI capabilities.

Keywords:

Invasive brain computer interface lateral prefrontal cortex local field potentials principal component analysis support vector machine

More Related Videos

Using Saccadometry with Deep Brain Stimulation to Study Normal and Pathological Brain Function

Using Saccadometry with Deep Brain Stimulation to Study Normal and Pathological Brain Function

Published on: July 14, 2016

Analyzing Neural Activity and Connectivity Using Intracranial EEG Data with SPM Software

Analyzing Neural Activity and Connectivity Using Intracranial EEG Data with SPM Software

Published on: October 30, 2018

Related Experiment Videos

Last Updated: Nov 7, 2025

Investigating the Deployment of Visual Attention Before Accurate and Averaging Saccades via Eye Tracking and Assessment of Visual Sensitivity

Investigating the Deployment of Visual Attention Before Accurate and Averaging Saccades via Eye Tracking and Assessment of Visual Sensitivity

Published on: March 18, 2019

Using Saccadometry with Deep Brain Stimulation to Study Normal and Pathological Brain Function

Using Saccadometry with Deep Brain Stimulation to Study Normal and Pathological Brain Function

Published on: July 14, 2016

Analyzing Neural Activity and Connectivity Using Intracranial EEG Data with SPM Software

Analyzing Neural Activity and Connectivity Using Intracranial EEG Data with SPM Software

Published on: October 30, 2018

Area of Science:

Neuroscience
Brain-Computer Interfaces
Cognitive Science

Background:

Invasive Brain-Computer Interfaces (iBCIs) typically rely on motor cortex signals.
The potential of using signals encoding global cognitive variables for iBCI improvement is under investigation.
Lateral prefrontal cortex (LPFC) involvement in attention and eye movement planning is known.

Purpose of the Study:

To investigate the encoding of eye-movement intention using Local Field Potential (LFP) signals from the LPFC.
To assess the utility of LPFC LFP signals for decoding saccade goals in a delayed saccade task.
To develop a robust workflow for iBCIs utilizing LPFC signals.

Main Methods:

Recorded LFP signals from the LPFC of macaque monkeys during a delayed saccade task.
Applied spectral dimensionality reduction to analyze broadband LFP activity.
Utilized support vector machine classification to decode saccade target locations.

Main Results:

Broadband LFP signal dynamics in low dimensions revealed saccade target separation during the pre-movement fixation period.
LPFC LFP signals demonstrated discriminative potential for decoding intended saccade goals.
A general workflow for iBCIs using LPFC LFP was proposed, showing robustness to electrode signal loss.

Conclusions:

Broadband LFP signals from the LPFC can effectively decode intended saccade target locations.
LPFC signals offer a valuable data source for enhancing iBCI performance by incorporating cognitive variables.
The proposed decoding workflow provides a promising direction for future iBCI development.