Prediction and time estimation are all but required for motor function in everyday life. In the context of eye movements, for instance, they allow predictive saccades and eye re-acceleration in anticipation of a target re-appearance. While the neural pathways involved are not fully understood, it is known that the frontal lobe plays an important role. As such, neurological disorders that affect it, such as frontotemporal (FTD) dementia, are likely to induce deficits in such movements. In this work, we study the performances of frontotemporal dementia patients in an oculomotor task designed to elicit predictive saccades at different rates, and compare them to young and older adults. Clear deficits in the production of predictive saccades were found in patients, in particular when the time between saccades was short (~500 ms). Furthermore, one asymptomatic C9ORF72 mutation bearer showed patterns of oculomotor behavior similar to FTD patients. He exhibited FTD symptoms within 3 years post-measure, suggesting that an impairment of oculomotor function could be an early clinical sign. Taken together, these results argue in favor of a role of the frontal lobe in predictive movements timing over short timescales, and suggest that predictive saccades in FTD patients warrant further investigation to fully assess their potential as a diagnostic aid.
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http://dx.doi.org/10.1007/s10827-020-00765-2 | DOI Listing |
Vision Res
January 2025
Center for Psychological Science, Zhejiang University, Hangzhou, China.
Prior research has established that actions, such as eye movements, influence time perception. However, the relationship between pre-saccadic attention, which is often associated with eye movement, and subjective time perception is not explored. Our study examines the impact of pre-saccadic attention on the subjective experience of time during eye movements, particularly focusing on its influence on subjective time perception at the saccade target.
View Article and Find Full Text PDFSensors (Basel)
December 2024
School of Digital Media & Design Arts, Beijing University of Posts and Telecommunications, No. 10 Xitucheng Road, Beijing 100876, China.
Trust is a crucial human factor in automated supervisory control tasks. To attain appropriate reliance, the operator's trust should be calibrated to reflect the system's capabilities. This study utilized eye-tracking technology to explore novel approaches, given the intrusive, subjective, and sporadic characteristics of existing trust measurement methods.
View Article and Find Full Text PDFPsychophysiology
January 2025
Department of Psychology, Hangzhou Normal University, Hangzhou, Zhejiang, China.
The aperiodic exponent of the power spectrum of signals in several neuroimaging modalities has been found to be related to the excitation/inhibition balance of the neural system. Leveraging the rich temporal dynamics of resting-state pupil fluctuations, the present study investigated the association between the aperiodic exponent of pupil fluctuations and the neural excitation/inhibition balance in attentional processing. In separate phases, we recorded participants' pupil size during resting state and assessed their attentional orienting using the Posner cueing tasks with different cue validities (i.
View Article and Find Full Text PDFFront Neurol
December 2024
Institut de Recherche Oto-Neurologique (IRON), Paris, France.
Introduction: While most head movements in daily life are active, most tools used to assess vestibular deficits rely on passive head movements. A single gain value is not sufficient to quantify gaze stabilization efficiency during active movements in vestibular deficit patients. Moreover, during active gaze shifts, anticipatory mechanisms come into play.
View Article and Find Full Text PDFJ Neurophysiol
December 2024
Melbourne Data Analytics Platform, The University of Melbourne, Parkville 3010, Australia.
Analysing reaction time distributions can provide insights into decision-making processes in the brain. The Linear Approach to Threshold with Ergodic Rate (LATER) model is arguably the simplest model for predicting reaction time distributions and can summarise distributions with as few as two free parameters. However, the coordinates for visualising and fitting distributions using LATER ("reciprobit" space) are irregular, making the application of this simple model inaccessible to those without a programming background.
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