The dynamic causality brain network reflects whether the working memory is solidified

Author:

Chen Chunli123ORCID,Liang Yi45,Xu Shiyun123,Yi Chanlin123,Li Yuqin123,Chen Baodan123,Yang Lei123,Liu Qiang6,Yao Dezhong123,Li Fali123ORCID,Xu Peng123

Affiliation:

1. MOE Key Lab for Neuroinformation, The Clinical Hospital of Chengdu Brain Science Institute, University of Electronic Science and Technology of China , Chengdu 611731 , China

2. School of Life Science and Technology , Center for Information in Medicine, , Chengdu 611731 , China

3. University of Electronic Science and Technology of China , Center for Information in Medicine, , Chengdu 611731 , China

4. Department of Neurology, Sichuan Provincial People's Hospital, University of Electronic Science and Technology of China , Chengdu 610072 , China

5. Chinese Academy of Sciences Sichuan Translational Medicine Research Hospital , Chengdu 610072 , China

6. Institute of Brain and Psychological Science, Sichuan Normal University , Chengdu 610000 , China

Abstract

Abstract Working memory, which is foundational to higher cognitive function, is the “sketchpad of volitional control.” Successful working memory is the inevitable outcome of the individual’s active control and manipulation of thoughts and turning them into internal goals during which the causal brain processes information in real time. However, little is known about the dynamic causality among distributed brain regions behind thought control that underpins successful working memory. In our present study, given that correct responses and incorrect ones did not differ in either contralateral delay activity or alpha suppression, further rooting on the high-temporal-resolution EEG time-varying directed network analysis, we revealed that successful working memory depended on both much stronger top-down connections from the frontal to the temporal lobe and bottom-up linkages from the occipital to the temporal lobe, during the early maintenance period, as well as top-down flows from the frontal lobe to the central areas as the delay behavior approached. Additionally, the correlation between behavioral performance and casual interactions increased over time, especially as memory-guided delayed behavior approached. Notably, when using the network metrics as features, time-resolved multiple linear regression of overall behavioral accuracy was exactly achieved as delayed behavior approached. These results indicate that accurate memory depends on dynamic switching of causal network connections and shifting to more task-related patterns during which the appropriate intervention may help enhance memory.

Funder

Social Trends Institute

National Natural Science Foundation of China

Key R&D projects of Science and Technology Department of Sichuan Province

Scientific Research Foundation of Sichuan Provincial People’s Hospital

Publisher

Oxford University Press (OUP)

Subject

Cellular and Molecular Neuroscience,Cognitive Neuroscience

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