Literature DB >> 3744710

Pattern of eyelid motion predictive of decision errors during drowsiness: oculomotor indices of altered states.

M L Lobb, J A Stern.   

Abstract

Sequential patterns of eye and eyelid motion were identified in seven subjects performing a modified serial probe recognition task under drowsy conditions. Using simultaneous EOG and video recordings, eyelid motion was divided into components above, within, and below the pupil and the durations in sequence were recorded. A serial probe recognition task was modified to allow for distinguishing decision errors from attention errors. Decision errors were found to be more frequent following a downward shift in the gaze angle which the eyelid closing sequence was reduced from a five element to a three element sequence. The velocity of the eyelid moving over the pupil during decision errors was slow in the closing and fast in the reopening phase, while on decision correct trials it was fast in closing and slower in reopening. Due to the high variability of eyelid motion under drowsy conditions these findings were only marginally significant. When a five element blink occurred, the velocity of the lid over pupil motion component of these endogenous eye blinks was significantly faster on decision correct than on decision error trials. Furthermore, the highly variable, long duration closings associated with the decision response produced slow eye movements in the horizontal plane (SEM) which were more frequent and significantly longer in duration on decision error versus decision correct responses.

Entities:  

Mesh:

Year:  1986        PMID: 3744710     DOI: 10.3109/00207458608985650

Source DB:  PubMed          Journal:  Int J Neurosci        ISSN: 0020-7454            Impact factor:   2.292


  2 in total

1.  PVT lapses differ according to eyes open, closed, or looking away.

Authors:  Clare Anderson; Alan W J Wales; James A Horne
Journal:  Sleep       Date:  2010-02       Impact factor: 5.849

Review 2.  Potentials of lncRNA-miRNA-mRNA networks as biomarkers for laryngeal squamous cell carcinoma.

Authors:  Yan Lv; Yanhua Wang; Zhikai Zhang
Journal:  Hum Cell       Date:  2022-10-01       Impact factor: 4.374

  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.