Time estimation relative to response inhibition in the differential reinforcement of low-rate responding in young adults

Author:

Yang Tsung-Han1,Liao Ruey-Ming2,Su Chung-I1,Chien Chun-Yi1,Yen Nai-Shing1

Affiliation:

1. National Cheng-chi University

2. Asian University

Abstract

Abstract With recent proposal suggests the multifaceted nature of impulsivity, researchers have been intrigued by the question of whether the impulsive behaviour measured in the traditionally psychological paradigms is unitary. One such paradigm, the differential reinforcement of low-rate responding (DRL), has been used to assess response inhibition, but its’ underlying mechanism has still been debated. In the present research, we examined and differentiated the effects of both response inhibition and time estimation on a multisession DRL-10 seconds (DRL-10s) in a large sample of normal young adults, as well as with three other measures including the stop-signal reaction task (SSRT), time production task-10 seconds (TPT-10s), and the Barrett impulsivity scale-11 (BIS-11). The results showed that individual differences existed in DRL. High efficiency adults produced more reinforced responses, peak rate, and longer peak time, with fewer numbers of total, non-reinforced, and burst responses than low efficiency adults. Most importantly, principal component analysis yielded significant loadings for both efficiency ratio and peak time in the last DRL session with the accuracy of TPT-10s, but none of the DRL indices had loadings with SSRT. In sum, the differential degrees of involvement of the timing process, relative to response inhibition, were observed in DRL.

Publisher

Research Square Platform LLC

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3