ArticleBrain sciences2021
Joint Analysis of Eye Blinks and Brain Activity to Investigate Attentional Demand during a Visual Search Task.
Article in Brain sciences, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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Who cites it
13 citing papers in PubMed, 22 citations in OpenAlex.
- Mapping the Human Performance Envelope Through Multivariate Information Transfer.Brain sciences · 2026Article
- Cognitive state monitoring for neuroadaptive information visualization.Frontiers in human neuroscience · 2026Review
- Research on the Influence of Interface Visual Design Features of Mobile News on Cognitive Load: A Study of Elderly Users in China.Behavioral sciences (Basel, Switzerland) · 2025Article
- Preliminary Analysis and Proof-of-Concept Validation of a Neuronally Controlled Visual Assistive Device Integrating Computer Vision with EEG-Based Binary Control.Sensors (Basel, Switzerland) · 2025Article
- Revisiting eye blink in Parkinson's disease.Scientific reports · 2025Article
- Synchronization-based fusion of EEG and eye blink signals for enhanced decoding accuracy.Scientific reports · 2024Article
- Blink-Related Oscillations Provide Naturalistic Assessments of Brain Function and Cognitive Workload within Complex Real-World Multitasking Environments.Sensors (Basel, Switzerland) · 2024Article
- Pupillometry and autonomic nervous system responses to cognitive load and false feedback: an unsupervised machine learning approach.Frontiers in neuroscience · 2024Article
- A Neuroergonomic Approach Fostered by Wearable EEG for the Multimodal Assessment of Drivers Trainees.Sensors (Basel, Switzerland) · 2023Article
- Neurophysiological Assessment of An Innovative Maritime Safety System in Terms of Ship Operators' Mental Workload, Stress, and Attention in the Full Mission Bridge Simulator.Brain sciences · 2023Article
- Neurophysiological mental fatigue assessment for developing user-centered Artificial Intelligence as a solution for autonomous driving.Frontiers in neurorobotics · 2023Article
- Evaluation of a New Lightweight EEG Technology for Translational Applications of Passive Brain-Computer Interfaces.Frontiers in human neuroscience · 2022Article
- The Sample Size Matters: To What Extent the Participant Reduction Affects the Outcomes of a Neuroscientific Research. A Case-Study in Neuromarketing Field.Sensors (Basel, Switzerland) · 2021Article
Corrections and comments
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Authors and funding
6 authors at 3 institutions in 2 countries.
Funding
Abstract
In several fields, the need for a joint analysis of brain activity and eye activity to investigate the association between brain mechanisms and manifest behavior has been felt. In this work, two levels of attentional demand, elicited through a conjunction search task, have been modelled in terms of eye blinks, brain activity, and brain network features. Moreover, the association between endogenous neural mechanisms underlying attentional demand and eye blinks, without imposing a time-locked structure to the analysis, has been investigated. The analysis revealed statistically significant spatial and spectral modulations of the recorded brain activity according to the different levels of attentional demand, and a significant reduction in the number of eye blinks when a higher amount of attentional investment was required. Besides, the integration of information coming from high-density electroencephalography (EEG), brain source localization, and connectivity estimation allowed us to merge spectral and causal information between brain areas, characterizing a comprehensive model of neurophysiological processes behind attentional demand. The analysis of the association between eye and brain-related parameters revealed a statistically significant high correlation (R > 0.7) of eye blink rate with anterofrontal brain activity at 8 Hz, centroparietal brain activity at 12 Hz, and a significant moderate correlation with the participation of right Intra Parietal Sulcus in alpha band (R = -0.62). Due to these findings, this work suggests the possibility of using eye blinks measured from one sensor placed on the forehead as an unobtrusive measure correlating with neural mechanisms underpinning attentional demand.
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