Joint Analysis of Eye Blinks and Brain Activity to Investigate Attentional Demand during a Visual Search Task.

EEG attentional demand brain connectivity eye blinks

Journal

Brain sciences
ISSN: 2076-3425
Titre abrégé: Brain Sci
Pays: Switzerland
ID NLM: 101598646

Informations de publication

Date de publication:
28 Apr 2021
Historique:
received: 08 03 2021
revised: 23 04 2021
accepted: 27 04 2021
entrez: 30 4 2021
pubmed: 1 5 2021
medline: 1 5 2021
Statut: epublish

Résumé

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.

Identifiants

pubmed: 33925209
pii: brainsci11050562
doi: 10.3390/brainsci11050562
pmc: PMC8146019
pii:
doi:

Types de publication

Journal Article

Langues

eng

Subventions

Organisme : Horizon 2020
ID : 950998
Organisme : Horizon 2020
ID : 894238
Organisme : Horizon 2020
ID : 826232
Organisme : Horizon 2020
ID : 723386
Organisme : Horizon 2020
ID : 814961
Organisme : Ministero dell'Istruzione, dell'Università e della Ricerca
ID : PGR05730

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Auteurs

Nicolina Sciaraffa (N)

Department of Molecular Medicine, Sapienza University of Rome, Piazzale Aldo Moro 5, 00185 Rome, Italy.

Gianluca Borghini (G)

Department of Molecular Medicine, Sapienza University of Rome, Piazzale Aldo Moro 5, 00185 Rome, Italy.
BrainSigns srl, Lungotevere Michelangelo 9, 00192 Rome, Italy.
IRCCS Fondazione Santa Lucia, Neuroelectrical Imaging and BCI Lab, Via Ardeatina 306, 00179 Rome, Italy.

Gianluca Di Flumeri (G)

Department of Molecular Medicine, Sapienza University of Rome, Piazzale Aldo Moro 5, 00185 Rome, Italy.
BrainSigns srl, Lungotevere Michelangelo 9, 00192 Rome, Italy.

Febo Cincotti (F)

IRCCS Fondazione Santa Lucia, Neuroelectrical Imaging and BCI Lab, Via Ardeatina 306, 00179 Rome, Italy.
Department of Computer, Control, and Management Engineering "Antonio Ruberti", Sapienza University of Rome, Via Ariosto 25, 00185 Rome, Italy.

Fabio Babiloni (F)

Department of Molecular Medicine, Sapienza University of Rome, Piazzale Aldo Moro 5, 00185 Rome, Italy.
BrainSigns srl, Lungotevere Michelangelo 9, 00192 Rome, Italy.
College of Computer Science and Technology, Hangzhou Dianzi University, Hangzhou 310005, China.

Pietro Aricò (P)

Department of Molecular Medicine, Sapienza University of Rome, Piazzale Aldo Moro 5, 00185 Rome, Italy.
BrainSigns srl, Lungotevere Michelangelo 9, 00192 Rome, Italy.

Classifications MeSH