A distributional and theoretical analysis of reaction time in the reversal task across adulthood.
A distributional and theoretical analysis of reaction time in the reversal task across adulthood.
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DOI:
10.1080/13803395.2019.1703909
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发表时间:
2020-03
影响因子:
2.2
通讯作者:
Driscoll I
中科院分区:
文献类型:
--
作者:
Leclaire KN;Osmon DC;Driscoll I
Reversal learning assesses components of executive function important for understanding cognitive changes with age. Extant reversal learning literature has largely assessed measures of accuracy, but reaction time (RT) has not yet been well characterized. The current study contributes to the literature by examining distributional and theoretical aspects of the entire RT distribution in addition to accuracy. Participant sample included young (N=43) and community dwelling, healthy, middle-aged (N=139) adults. Results showed a Normal-3 Mixture distribution best fit the sample as a whole, with the ex-Gaussian distribution passing visual inspection. Age related significantly to various measures of RT (p’s<0.5); older age was associated with higher both efficient and overall RT. In a generalized adaptive elastic net regression, RT explained age-related differences in performance while accuracy did not contribute. Specifically, middle-aged adults were slower in efficient RT and had increased intra-individual variability which has been previously linked to poorer frontal lobe processes and age-related cognitive decline. Overall, these findings highlight the importance of examining the entire RT distribution and measuring RT as a fractionated construct to further explain age-related differences in reversal learning.
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