No full text
Poster (Scientific congresses and symposiums)
How does cognitive fatigue affect Young, Middle-aged, and Older people? A distribution analysis of Time-on-Task effect by fitting the ex-Gaussian parameters to the response time distributions.
Gilsoul, Jessica; Collette, Fabienne
20195th International Conference Aging and Cognition 2019- EUCAS
 

Files


Full Text
No document available.

Send to



Details



Keywords :
Cognitive Fatigue; Time-on-Task; ex-Gaussian
Abstract :
[en] Introduction. Young people experiment cognitive fatigue after long-lasting tasks (Time-on-Task effect), evidenced by increased response time (RT). The ex-Gaussian function properly fits RT data. Mu & sigma represent the Gaussian component while tau describes the exponential component (increase in extreme RT). Mu represents motor/peripheral processes and tau decisional processes. In Young, tau suffers from Time-on-Task. Aim. To test Time-on-Task effect in Middle-aged and Older. Method. Twenty-one Young, 17 Middle-aged, and 17 Older performed a 160min Stroop task comprising facilitatory (FA), interfering (I), and neutral (NE) items. The task was divided into four 40min blocks and the ex-Gaussian parameters were fitted in each block for each item types. Six measures (FA_mu, I_mu, NE_mu, FA_tau, I_tau, NE_tau) were analyzed with GLIMMIX repeated measure (p<0.05). Results. All mu were smaller in Young than in Middle-aged and Older. Moreover, Older had a greater I_mu in Block4 as compared to Block1 and Block2. FA_tau: Middle-aged significantly increased between Block2 and Block4. I_tau: Middle-aged significantly increased between both Block1 and Block2 with Block4. NE_tau: Young significantly increased between Block1 and both Block3 and Block4 (p<.01); Middle-aged increased between both Block1 and Block2 with Block4; Older increased between Block1 and Block4. Discussion. The three groups were not impaired in their motor/peripheral processes (mu) with Time-on-task except for the Older on the Interfering items, probably due to their baseline difficulties in inhibition. However, the three groups were disabled in their decisional processes as indexed by increases in their extreme RT (tau), with Middle-aged being the most cognitively fatigued.
Research center :
GIGA-CRC in vivo Imaging-Aging and Memory
Disciplines :
Neurosciences & behavior
Author, co-author :
Gilsoul, Jessica ;  Université de Liège - ULiège > CRC In vivo Imaging-Aging & Memory
Collette, Fabienne  ;  Université de Liège - ULiège > Département de Psychologie > Neuropsychologie
Language :
English
Title :
How does cognitive fatigue affect Young, Middle-aged, and Older people? A distribution analysis of Time-on-Task effect by fitting the ex-Gaussian parameters to the response time distributions.
Publication date :
26 April 2019
Number of pages :
A0
Event name :
5th International Conference Aging and Cognition 2019- EUCAS
Event organizer :
Université de Zurich
Event place :
Zurich, Switzerland
Event date :
du 23 avril 2019 au 26 avril 2019
Audience :
International
Name of the research project :
Influence of mental fatigue on cognitive and cerebral efficiency in young, middle-age and older people.
Funders :
F.R.S.-FNRS - Fonds de la Recherche Scientifique [BE]
Available on ORBi :
since 27 August 2019

Statistics


Number of views
57 (12 by ULiège)
Number of downloads
0 (0 by ULiège)

Bibliography


Similar publications



Contact ORBi