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Functional brain networks for learning predictive statistics
Giorgio, Joseph1; Karlaftis, Vasilis M.1; Wang, Rui1,2; Shen, Yuan3,4; Tino, Peter4; Welchman, Andrew1; Kourtzi, Zoe1
第一作者Giorgio, Joseph
2018-10-01
发表期刊CORTEX
通讯作者邮箱zk240@cam.ac.uk (z. kourtzi)
ISSN0010-9452
文章类型Article
卷号107页码:204-219
摘要

Making predictions about future events relies on interpreting streams of information that may initially appear incomprehensible. This skill relies on extracting regular patterns in space and time by mere exposure to the environment (i.e., without explicit feedback). Yet, we know little about the functional brain networks that mediate this type of statistical learning. Here, we test whether changes in the processing and connectivity of functional brain networks due to training relate to our ability to learn temporal regularities. By combining behavioral training and functional brain connectivity analysis, we demonstrate that individuals adapt to the environment's statistics as they change over time from simple repetition to probabilistic combinations. Further, we show that individual learning of temporal structures relates to decision strategy. Our fMRI results demonstrate that learning-dependent changes in fMRI activation within and functional connectivity between brain networks relate to individual variability in strategy. In particular, extracting the exact sequence statistics (i.e., matching) relates to changes in brain networks known to be involved in memory and stimulus-response associations, while selecting the most probable outcomes in a given context (i.e., maximizing) relates to changes in frontal and striatal networks. Thus, our findings provide evidence that dissociable brain networks mediate individual ability in learning behaviorally-relevant statistics. (C) 2017 The Authors. Published by Elsevier Ltd.

关键词Brain Plasticity Fmri Functional Network Connectivity Individual Differences Statistical Learning
DOI10.1016/j.cortex.2017.08.014
收录类别SCI
语种英语
资助项目Biotechnology and Biological Sciences Research Council[H012508] ; Leverhulme Trust[RF-2011-378] ; European Community[PITN-GA-2012-316746] ; European Community[PITN-GA-2011-290011] ; Wellcome Trust[095183/Z/10/Z] ; Engineering and Physical Sciences Research Council[EP/L000296/1]
WOS研究方向Behavioral Sciences ; Neurosciences & Neurology
WOS类目Behavioral Sciences ; Neurosciences
WOS记录号WOS:000448092300018
出版者ELSEVIER MASSON, CORPORATION OFFICE
关键词[WOS]Medial Temporal-lobe ; Prefrontal Cortex ; Individual Variability ; Memory Retrieval ; Visual-attention ; Episodic Memory ; Neural Circuits ; Working-memory ; Basal Ganglia ; Implicit
引用统计
被引频次:1[WOS]   [WOS记录]     [WOS相关记录]
文献类型期刊论文
条目标识符http://ir.psych.ac.cn/handle/311026/27401
专题中国科学院心理健康重点实验室
通讯作者Kourtzi, Zoe
作者单位1.Univ Cambridge, Dept Psychol, Cambridge, England
2.Chinese Acad Sci, Inst Psychol, Key Lab Mental Hlth, Beijing, Peoples R China
3.Xian Jiaotong Liverpool Univ, Dept Math Sci, Suzhou, Peoples R China
4.Univ Birmingham, Sch Comp Sci, Birmingham, W Midlands, England
推荐引用方式
GB/T 7714
Giorgio, Joseph,Karlaftis, Vasilis M.,Wang, Rui,et al. Functional brain networks for learning predictive statistics[J]. CORTEX,2018,107:204-219.
APA Giorgio, Joseph.,Karlaftis, Vasilis M..,Wang, Rui.,Shen, Yuan.,Tino, Peter.,...&Kourtzi, Zoe.(2018).Functional brain networks for learning predictive statistics.CORTEX,107,204-219.
MLA Giorgio, Joseph,et al."Functional brain networks for learning predictive statistics".CORTEX 107(2018):204-219.
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