A novel paradigm for identifying eye-tracking metrics associated with cognitive control during driving through MEG neuroimaging

Understanding the neurocognitive underpinnings of driving behavior in adolescents is critical to improving road safety. To address this, we established a novel paradigm linking magnetoencephalography (MEG)-recorded frequency-specific brain activity to simulated driving performance, identifying periods of increased cognitive control. However, this initial paradigm did not incorporate eye-tracking - a potentially scalable proxy for cognitive control that could be leveraged by in-vehicle driver monitoring systems. This proof-of-concept study expands our paradigm by integrating eye-tracking to identify scanning behavior metrics associated with periods of increased cognitive control validated by MEG. Typically developing adolescents <i>(n</i> = 11; mean age = 15.1 ± 1.5 yrs) completed three driving tasks of varying cognitive demand, and MEG frequency specific analysis confirmed periods of high (Hi) and low (Lo) cognitive control via the established biomarker of frontal midline theta (FMT). Fixation count, fixation duration, horizontal/vertical mean gaze position, saccade amplitude, and horizontal/vertical spread of search were compared between Hi vs. Lo periods of cognitive control. Task-specific differences in fixation count (p < 0.05), mean gaze position (p < 0.01), saccade amplitude (p < 0.05), and spread of search (p < 0.01) were observed between Hi compared to Lo cognitive control periods. These differences corresponded to expected task-specific changes in scanning behavior that would accompany cognitive control over behavior, suggesting a signal that eye-tracking may serve as a proxy for underlying neurocognitive processes. This integrated approach demonstrates methodological rigor and offers a promising framework for further research and informing development of in-vehicle driver monitoring systems for detecting cognitive deficits in real time, with implications for enhancing teen driver safety.

Authors

Institutions

Publication Details

Journal
Transportation Research Part F Traffic Psychology and Behaviour
Published
2025-11-08
DOI
https://doi.org/10.1016/j.trf.2025.103434
Primary Topic
Human-Automation Interaction and Safety
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A novel paradigm for identifying eye-tracking metrics associated with cognitive control during driving through MEG neuroimaging

William Gaetz, Thomas Seacrist, Emily Kathryn Brown, Flaura K. Winston et al.
Transportation Research Part F Traffic Psychology and Behaviour
Human-Automation Interaction and Safety
article

A novel paradigm for identifying eye-tracking metrics associated with cognitive control during driving through MEG neuroimaging

William Gaetz, Thomas Seacrist, Emily Kathryn Brown, Flaura K. Winston, Shukai Cheng, Elizabeth A. Walshe, Charlotte Birnbaum, Victoria Kaufman
article en

Abstract

Understanding the neurocognitive underpinnings of driving behavior in adolescents is critical to improving road safety. To address this, we established a novel paradigm linking magnetoencephalography (MEG)-recorded frequency-specific brain activity to simulated driving performance, identifying periods of increased cognitive control. However, this initial paradigm did not incorporate eye-tracking - a potentially scalable proxy for cognitive control that could be leveraged by in-vehicle driver monitoring systems. This proof-of-concept study expands our paradigm by integrating eye-tracking to identify scanning behavior metrics associated with periods of increased cognitive control validated by MEG. Typically developing adolescents <i>(n</i> = 11; mean age = 15.1 ± 1.5 yrs) completed three driving tasks of varying cognitive demand, and MEG frequency specific analysis confirmed periods of high (Hi) and low (Lo) cognitive control via the established biomarker of frontal midline theta (FMT). Fixation count, fixation duration, horizontal/vertical mean gaze position, saccade amplitude, and horizontal/vertical spread of search were compared between Hi vs. Lo periods of cognitive control. Task-specific differences in fixation count (p < 0.05), mean gaze position (p < 0.01), saccade amplitude (p < 0.05), and spread of search (p < 0.01) were observed between Hi compared to Lo cognitive control periods. These differences corresponded to expected task-specific changes in scanning behavior that would accompany cognitive control over behavior, suggesting a signal that eye-tracking may serve as a proxy for underlying neurocognitive processes. This integrated approach demonstrates methodological rigor and offers a promising framework for further research and informing development of in-vehicle driver monitoring systems for detecting cognitive deficits in real time, with implications for enhancing teen driver safety.

Transportation Research Part F Traffic Psychology and BehaviourVol. 116
Children's Hospital of Philadelphia (US), Imaging Center (US), University of Pennsylvania (US)
Openalex Percentile: Top 62%
Human-Automation Interaction and Safety
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.