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Microsaccade and drift dynamics reflect mental fatigue
Author(s) -
Di Stasi Leandro L.,
McCamy Michael B.,
Catena Andrés,
Macknik Stephen L.,
Cañas José J.,
MartinezConde Susana
Publication year - 2013
Publication title -
european journal of neuroscience
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.346
H-Index - 206
eISSN - 1460-9568
pISSN - 0953-816X
DOI - 10.1111/ejn.12248
Subject(s) - microsaccade , saccadic masking , eye movement , fixation (population genetics) , psychology , saccade , dynamics (music) , task (project management) , cognitive psychology , mental fatigue , neuroscience , biology , economics , biochemistry , gene , pedagogy , management , applied psychology
Our eyes are always in motion. Even during periods of relative fixation we produce so‐called ‘fixational eye movements’, which include microsaccades, drift and tremor. Mental fatigue can modulate saccade dynamics, but its effects on microsaccades and drift are unknown. Here we asked human subjects to perform a prolonged and demanding visual search task (a simplified air traffic control task), with two difficulty levels, under both free‐viewing and fixation conditions. Saccadic and microsaccadic velocity decreased with time‐on‐task whereas drift velocity increased, suggesting that ocular instability increases with mental fatigue. Task difficulty did not influence eye movements despite affecting reaction times, performance errors and subjective complexity ratings. We propose that variations in eye movement dynamics with time‐on‐task are consistent with the activation of the brain's sleep centers in correlation with mental fatigue. Covariation of saccadic and microsaccadic parameters moreover supports the hypothesis of a common generator for microsaccades and saccades. We conclude that changes in fixational and saccadic dynamics can indicate mental fatigue due to time‐on‐task, irrespective of task complexity. These findings suggest that fixational eye movement dynamics have the potential to signal the nervous system's activation state.

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