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The Validation of a Portable Functional NIRS System for Assessing Mental Workload.
Manob Jyoti Saikia1, Walter G Besio1, Kunal Mankodiya1
1Department of Electrical, Computer and Biomedical Engineering, University of Rhode Island, Kingston, RI 02881, USA.
Sensors (Basel, Switzerland)
|June 2, 2021
Summary
Portable functional near-infrared spectroscopy (fNIRS) systems effectively measure cognitive load during working memory tasks. The WearLight system demonstrated increased prefrontal cortex activation with higher task difficulty, validating its use in naturalistic brain imaging.
Area of Science:
- Neuroscience
- Biomedical Engineering
Background:
- Portable functional near-infrared spectroscopy (fNIRS) offers potential for brain imaging in real-world settings.
- Validation studies are crucial for portable fNIRS systems, particularly for cognitive tasks.
- Working memory (WM) involves temporary information storage and manipulation, primarily engaging the prefrontal cortex (PFC).
Purpose of the Study:
- To validate a laboratory-developed portable fNIRS system, WearLight, for imaging brain activity during working memory tasks.
- To assess prefrontal cortex (PFC) hemodynamic responses associated with varying cognitive loads in an n-back task.
- To evaluate the relationship between task performance and hemodynamic responses using the WearLight system.
Main Methods:
- Utilized a portable, wireless fNIRS system (WearLight) to monitor 25 college students during n-back working memory tasks.
- Implemented an experimental protocol with 32 task blocks across four difficulty levels.
- Computed hemodynamic responses from fNIRS data to analyze brain activation patterns.
Main Results:
- Observed incremental hemodynamic activation in the PFC corresponding to increased working memory load.
- Found greater activation in the left PFC compared to the right PFC during WM tasks.
- Demonstrated a correlation between task performance and measured hemodynamic responses.
Conclusions:
- The WearLight portable fNIRS system successfully imaged cognitive load, proving its functionality.
- The system's wearable and wireless nature enables brain imaging in naturalistic environments.
- Results support the development of user-friendly brain-computer interfaces using portable fNIRS technology.

