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Identifying vulnerable brain networks associated with Alzheimer's disease risk.

Publication ,  Journal Article
Mahzarnia, A; Stout, JA; Anderson, RJ; Moon, HS; Yar Han, Z; Beck, K; Browndyke, JN; Dunson, DB; Johnson, KG; O'Brien, RJ; Badea, A
Published in: Cereb Cortex
April 25, 2023

The selective vulnerability of brain networks in individuals at risk for Alzheimer's disease (AD) may help differentiate pathological from normal aging at asymptomatic stages, allowing the implementation of more effective interventions. We used a sample of 72 people across the age span, enriched for the APOE4 genotype to reveal vulnerable networks associated with a composite AD risk factor including age, genotype, and sex. Sparse canonical correlation analysis (CCA) revealed a high weight associated with genotype, and subgraphs involving the cuneus, temporal, cingulate cortices, and cerebellum. Adding cognitive metrics to the risk factor revealed the highest cumulative degree of connectivity for the pericalcarine cortex, insula, banks of the superior sulcus, and the cerebellum. To enable scaling up our approach, we extended tensor network principal component analysis, introducing CCA components. We developed sparse regression predictive models with errors of 17% for genotype, 24% for family risk factor for AD, and 5 years for age. Age prediction in groups including cognitively impaired subjects revealed regions not found using only normal subjects, i.e. middle and transverse temporal, paracentral and superior banks of temporal sulcus, as well as the amygdala and parahippocampal gyrus. These modeling approaches represent stepping stones towards single subject prediction.

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Published In

Cereb Cortex

DOI

EISSN

1460-2199

Publication Date

April 25, 2023

Volume

33

Issue

9

Start / End Page

5307 / 5322

Location

United States

Related Subject Headings

  • Magnetic Resonance Imaging
  • Humans
  • Genotype
  • Experimental Psychology
  • Brain
  • Alzheimer Disease
  • Aging
  • 5204 Cognitive and computational psychology
  • 5202 Biological psychology
  • 3209 Neurosciences
 

Citation

APA
Chicago
ICMJE
MLA
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Mahzarnia, A., Stout, J. A., Anderson, R. J., Moon, H. S., Yar Han, Z., Beck, K., … Badea, A. (2023). Identifying vulnerable brain networks associated with Alzheimer's disease risk. Cereb Cortex, 33(9), 5307–5322. https://doi.org/10.1093/cercor/bhac419
Mahzarnia, Ali, Jacques A. Stout, Robert J. Anderson, Hae Sol Moon, Zay Yar Han, Kate Beck, Jeffrey N. Browndyke, et al. “Identifying vulnerable brain networks associated with Alzheimer's disease risk.Cereb Cortex 33, no. 9 (April 25, 2023): 5307–22. https://doi.org/10.1093/cercor/bhac419.
Mahzarnia A, Stout JA, Anderson RJ, Moon HS, Yar Han Z, Beck K, et al. Identifying vulnerable brain networks associated with Alzheimer's disease risk. Cereb Cortex. 2023 Apr 25;33(9):5307–22.
Mahzarnia, Ali, et al. “Identifying vulnerable brain networks associated with Alzheimer's disease risk.Cereb Cortex, vol. 33, no. 9, Apr. 2023, pp. 5307–22. Pubmed, doi:10.1093/cercor/bhac419.
Mahzarnia A, Stout JA, Anderson RJ, Moon HS, Yar Han Z, Beck K, Browndyke JN, Dunson DB, Johnson KG, O’Brien RJ, Badea A. Identifying vulnerable brain networks associated with Alzheimer's disease risk. Cereb Cortex. 2023 Apr 25;33(9):5307–5322.
Journal cover image

Published In

Cereb Cortex

DOI

EISSN

1460-2199

Publication Date

April 25, 2023

Volume

33

Issue

9

Start / End Page

5307 / 5322

Location

United States

Related Subject Headings

  • Magnetic Resonance Imaging
  • Humans
  • Genotype
  • Experimental Psychology
  • Brain
  • Alzheimer Disease
  • Aging
  • 5204 Cognitive and computational psychology
  • 5202 Biological psychology
  • 3209 Neurosciences