Resting‐state brain signal complexity discriminates young healthy APOE e4 carriers from non‐e4 carriers

Author:

Li Xiaojing123ORCID,Kaur Yadwinder3,Wilhelm Oliver4,Reuter Martin56,Montag Christian47ORCID,Sommer Werner289ORCID,Zhou Changsong2ORCID,Hildebrandt Andrea310

Affiliation:

1. Chinese Academy of Disability Data Science Nanjing Normal University of Special Education Nanjing China

2. Department of Physics, Centre for Nonlinear Studies, Institute of Computational and Theoretical Studies Hong Kong Baptist University Hong Kong

3. Department of Psychology Carl von Ossietzky Universität Oldenburg Oldenburg Germany

4. Department of Psychology Ulm University Ulm Germany

5. Centre for Economics and Neuroscience University of Bonn Bonn Germany

6. Department of Psychology University of Bonn Bonn Germany

7. The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Laboratory for Neuroinformation University of Electronic Science and Technology of China Chengdu China

8. Department of Psychology Humboldt‐Universität zu Berlin Berlin Germany

9. Department of Psychology Zhejiang Normal University Jinhua China

10. Research Center Neurosensory Science Carl von Ossietzky Universität Oldenburg Oldenburg Germany

Abstract

AbstractIt is well established that the e4 allele of the APOE gene is associated with impaired brain functionality and cognitive decline in humans at elder age. However, it is controversial whether and how the APOE e4 allele is associated with superior brain function among young healthy individuals, thus indicates a case of antagonistic pleiotropy of APOE e4 allele. Signal complexity is a critical aspect of brain activity that has been associated with brain function. In this study, the multiscale entropy (MSE) of resting‐state EEG signals among a sample of young healthy adults (N = 260) as an indicator of brain signal complexity was investigated. It was of interest whether MSE differs across APOE genotype groups while age and education level were controlled for and whether the APOE genotype effect on MSE interacts with MSE time scale, as well as EEG recording condition. Results of linear mixed models indicate overall larger MSE in APOE e4 carriers. This genotype‐dependent difference is larger at high as compared with low time scales. The interaction effect between APOE genotype and recording condition indicates increased between‐state MSE change in young healthy APOE e4 carriers as compared with non‐carriers. Because higher complexity is commonly taken to be associated with better cognitive functioning, the present results complement previous findings and therefore point to a pleiotropic spectrum of the APOE gene polymorphism.

Funder

Hong Kong Baptist University

Alexander von Humboldt-Stiftung

Deutsche Forschungsgemeinschaft

Publisher

Wiley

Subject

General Neuroscience

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