Neurofunctional Differences Between the Processing of Short and Long Auditory Time Intervals

Author:

Thibault Nicola1,Albouy Philippe2,Grondin Simon1

Affiliation:

1. Université Laval

2. CERVO Brain Research Centre 2

Abstract

Abstract Previous psychophysical studies have suggested that time intervals above and below 1.2 second are processed differently in the human brain. However, the neural underpinnings of this dissociation are still unclear. In the present study, we investigate whether distinct or common brain networks and dynamics support the passive perception of short (below 1.2s) and long (above 1.2s) empty time intervals. Twenty participants underwent an EEG recording during an auditory oddball paradigm with .8- and 1.6-s standard time intervals and deviants. We computed the auditory event-related potentials for each condition at the sensor and source levels. Then we performed cluster-based permutation statistics around N1 and P2 time periods, testing deviants against standards. At the sensor level, fronto-central components were elicited by deviance detection during N1 for long intervals, and during P2 for short intervals. Source reconstructions revealed that for short intervals, deviance detection was associated with activity in the left auditory cortex, bilateral supplementary motor areas and bilateral cingulate cortices. For long intervals, deviance detection was associated with activity in the left inferior parietal sulcus (IPS), bilateral cingulate cortices, and the right motor cortex. These results suggest that distinct brain dynamics and networks support the perception of short and long time intervals. Main Text

Publisher

Research Square Platform LLC

Reference64 articles.

1. Grondin, S. The perception of time: Your questions answered. (Routledge, 2019).

2. Dedicated and intrinsic models of time perception;Ivry RB;Trends in cognitive sciences,2008

3. Motor system evolution and the emergence of high cognitive functions;Mendoza G;Progress in Neurobiology,2014

4. Jones, M. R. Time will tell: A theory of dynamic attending. (Oxford University Press, 2018).

5. A trace theory of time perception;Killeen PR;Psychological Review,2022

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