The Functional Brain Network of Subcortical and Cortical Regions Underlying Time Estimation: An Functional MRI Study

被引:0
|
作者
Liu, Mingtong
Huang, Guanhua
Zhao, Ke
Fu, Xiaolan
机构
[1] Chinese Acad Sci, Inst Psychol, State Key Lab Brain & Cognit Sci, Beijing 100101, Peoples R China
[2] Univ Chinese Acad Sci, Beijing 100049, Peoples R China
基金
中国国家自然科学基金;
关键词
functional brain network; caudate; time estimation; psychophysiological interaction analysis; TEMPORAL DISCRIMINATION; NEURAL REPRESENTATION; BASAL GANGLIA; PERCEPTION; CONNECTIVITY; CEREBELLUM; ACTIVATION; MECHANISMS; MODALITY; FMRI;
D O I
10.1016/j.neuroscience.2023.02.019
中图分类号
Q189 [神经科学];
学科分类号
071006 ;
摘要
Time estimation is fundamental for human survival. There have been increasing studies suggesting that distributed brain regions, such as the basal ganglia, cerebellum and the parietal cortex, may contribute to a dedicated neural mechanism of time estimation. However, evidence on the specific function of the subcortical and cortical brain regions and the interplay of them is scare. In this work, we explored how the subcortical and cortical networks function in time estimation during a time reproduction task using functional MRI (fMRI). Thirty healthy participants performed the time reproduction task in both auditory and visual modalities. Results showed that time estimation in visual and auditory modality recruited a subcortical-cortical brain network including the left caudate, left cerebellum, and right precuneus. Besides, the superior temporal gyrus (STG) was found essential in the difference between time estimation in visual and auditory modality. Using psychophysiological interaction (PPI) analysis, we observed an increase in the connection between left caudate and left precuneus using the left caudate as the seed region in temporal reproduction task than control task. This suggested that the left caudate is the key region connecting and transmitting information to other brain regions in the dedicated brain network of time estimation. (c) 2023 IBRO. Published by Elsevier Ltd. All rights reserved.
引用
收藏
页码:23 / 30
页数:8
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