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  Apolipoprotein E allele 4 effects on single-subject gray matter networks in mild cognitive impairment

Sanabria-Diaz, G., Demonet, J.-F., Rodriguez-Herreros, B., Draganski, B., Kherif, F., & Melie-Garcia, L. (2021). Apolipoprotein E allele 4 effects on single-subject gray matter networks in mild cognitive impairment. NeuroImage: Clinical, 32: 102799. doi:10.1016/j.nicl.2021.102799.

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 Creators:
Sanabria-Diaz, Gretel1, 2, Author
Demonet, Jean-Francois3, Author
Rodriguez-Herreros, Borja4, Author
Draganski, Bogdan1, 5, Author           
Kherif, Ferath1, Author
Melie-Garcia, Lester6, 7, Author
Affiliations:
1Département des Neurosciences Cliniques, Centre hospitalier universitaire vaudois, Lausanne, Switzerland, ou_persistent22              
2Faculty of Biology and Medicine, Faculty of Biology and Medicine, Lausanne, Switzerland, ou_persistent22              
3Centre Leenaards de la mémoire, Centre hospitalier universitaire vaudois, Lausanne, Switzerland, ou_persistent22              
4Centre cantonal autisme (CCA), Centre hospitalier universitaire vaudois, Lausanne, Switzerland, ou_persistent22              
5Department Neurology, MPI for Human Cognitive and Brain Sciences, Max Planck Society, ou_634549              
6Applied Signal Processing Group (ASPG), Swiss Federal Institute of Technology in Lausanne, Switzerland, ou_persistent22              
7Translational Imaging in Neurology Group (ThINk), Department of Biomedical Engineering, University of Basel, Switzerland, ou_persistent22              

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Free keywords: Mild cognitive impairment; Alzheimer disease; Gray matter networks; Single-subject gray matter networks; Graph theory
 Abstract: There is evidence that gray matter networks are disrupted in Mild Cognitive Impairment (MCI) and associated with cognitive impairment and faster disease progression. However, it remains unknown how these alterations are related to the presence of Apolipoprotein E isoform E4 (ApoE4), the most prominent genetic risk factor for late-onset Alzheimer’s disease (AD). To investigate this topic at the individual level, we explore the impact of ApoE4 and the disease progression on the Single-Subject Gray Matter Networks (SSGMNets) using the graph theory approach. Our data sample comprised 200 MCI patients selected from the ADNI database, classified as non-Converters and Converters (will progress into AD). Each group included 50 ApoE4-positive (‘Carriers', ApoE4 + ) and 50 ApoE4-negative ('non-Carriers', ApoE4-). The SSGMNets were estimated from structural MRIs at two-time points: baseline and conversion. We investigated whether altered network topological measures at baseline and their rate of change (RoC) between baseline and conversion time points were associated with ApoE4 and disease progression. We also explored the correlation of SSGMNets attributes with general cognition score (MMSE), memory (ADNI-MEM), and CSF-derived biomarkers of AD (Aβ42, T-tau, and P-tau). Our results showed that ApoE4 and the disease progression modulated the global topological network properties independently but not in their RoC. MCI converters showed a lower clustering index in several regions associated with neurodegeneration in AD. The SSGMNets' topological organization was revealed to be able to predict cognitive and memory measures. The findings presented here suggest that SSGMNets could indeed be used to identify MCI ApoE4 Carriers with a high risk for AD progression.

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Language(s): eng - English
 Dates: 2021-07-232021-01-252021-08-172021-08-24
 Publication Status: Published online
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: DOI: 10.1016/j.nicl.2021.102799
Other: epub 2021
PMID: 34469849
PMC: PMC8405842
 Degree: -

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Project name : -
Grant ID : 604102; 871643
Funding program : -
Funding organization : European Union
Project name : -
Grant ID : 32003B_135679, 32003B_159780, and CRSK-3_190185
Funding program : -
Funding organization : Swiss National Science Foundation

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Title: NeuroImage: Clinical
Source Genre: Journal
 Creator(s):
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Publ. Info: Elsevier
Pages: - Volume / Issue: 32 Sequence Number: 102799 Start / End Page: - Identifier: ISSN: 2213-1582
CoNE: https://pure.mpg.de/cone/journals/resource/2213-1582