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Author:

Yao, Zhijun (Yao, Zhijun.) | Hu, Bin (Hu, Bin.) | Hu, Tao (Hu, Tao.) | An, Jianping (An, Jianping.) | Song, Dawei (Song, Dawei.) | Zhong, Ning (Zhong, Ning.)

Indexed by:

CPCI-S

Abstract:

As the epsilon 4 allele of apolipoprotein E (APOE4) is proved a high risk factor of Alzheimer's disease (AD), numerous studies have used modalities of neuroimaging data to investigate the alterations of brain caused by APOE4. A recent study has shown that APOE4-related pathological changes of cortical networks during rest exist in APOE4 carriers. However, the interrelationship among the resting intrinsic networks (ICNs) has not been adequately explored. In the present study, seven ICNs were detected in both of APOE4 carriers and APOE4 noncarriers with spatial independent component analysis (ICA). Then the effective connectivity patterns of the two groups were acquired using multivariate Granger causality analysis (mGCA) the results of which reflect the information flow among ICNs. Compared with APOE4 non-carriers, significant difference in activity was found within default mode network in APOE4 carriers. Moreover, the significantly reduced intensity of causal interaction from auditory network to cerebellum network was found in APOE4 carriers. And we found the significantly causal relationship from cerebellum network to default mode network only existed in the connectivity pattern of APOE4 carriers but not in that of APOE4 non-carriers. In addition, the subcortical network and cognitive control network in APOE4 carriers were found less influenced by other ICNs. The findings in our study suggest that APOE4 indeed modulates the activities and interactions of ICNs, which might be the genetic cause of the dysfunctional process in APOE4 carriers. Our findings may shed new light on the ways how APOE4 affects the functions of nervous systems and provide a perspective to understand genetic basis of pathogenesis of AD.

Keyword:

mGCA ICN APOE4 interrelationship ICA

Author Community:

  • [ 1 ] [Yao, Zhijun]Lanzhou Univ, Sch Informat Sci & Engn, Gansu Prov Key Lab Wearable Comp, Lanzhou, Gansu, Peoples R China
  • [ 2 ] [Hu, Bin]Lanzhou Univ, Sch Informat Sci & Engn, Gansu Prov Key Lab Wearable Comp, Lanzhou, Gansu, Peoples R China
  • [ 3 ] [Hu, Tao]Lanzhou Univ, Sch Informat Sci & Engn, Gansu Prov Key Lab Wearable Comp, Lanzhou, Gansu, Peoples R China
  • [ 4 ] [An, Jianping]Affiliated Lanzhou Gen Hosp Lanzhou, Mil Area Command, Nucl Med Dept, Lanzhou, Gansu, Peoples R China
  • [ 5 ] [Song, Dawei]Tianjin Univ, Sch Comp Sci & Technol, Tianjin Key Lab Cognit Comp & Applicat, Tianjin, Peoples R China
  • [ 6 ] [Zhong, Ning]Beijing Univ Technol, Beijing Adv Innovat Ctr Future Internet Technol, Beijing, Peoples R China

Reprint Author's Address:

  • [Hu, Bin]Lanzhou Univ, Sch Informat Sci & Engn, Gansu Prov Key Lab Wearable Comp, Lanzhou, Gansu, Peoples R China

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Source :

2017 IEEE INTERNATIONAL CONFERENCE ON BIOINFORMATICS AND BIOMEDICINE (BIBM)

ISSN: 2156-1125

Year: 2017

Page: 754-758

Language: English

Cited Count:

WoS CC Cited Count: 1

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 6

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