Abstract
Navigation processes that are selectively mediated by functional activity in the entorhinal cortex may be a marker of preclinical Alzheimer's disease (AD). Here, we tested if a short path integration paradigm can detect the strongest genetic-risk phenotype of AD in large sample of apolipoprotein E (APOE)-genotyped individuals. We also examined the associations between APOE-mediated navigation process, subjective cognitive decline, and rest-stating network connectivity. Navigation discrepancies classified 77% the APOE-genotyped cohort into their respective low-risk ε3ε3 and high-risk ε3ε4 categories. When connectivity strength between entorhinal and the posterior cingulate cortices (also a functional correlate of strongest APOE-dependant behavioral characteristics) was considered, this classification accuracy increased to 85%. Our findings present a whole picture of at-genetic-risk AD, including select impairment in path integration, self-report cognitive decline, and altered network activity that is reminiscent of the pathological spread of preclinical AD disease. These findings may have important implications for the early detection of AD.
| Original language | English |
|---|---|
| Pages (from-to) | 110-118 |
| Number of pages | 9 |
| Journal | Neurobiology of Aging |
| Volume | 90 |
| Early online date | 19 Feb 2020 |
| DOIs | |
| Publication status | Published - Jun 2020 |
Keywords
- APOE genotype
- Functional connectivity
- Path integration
- Preclinical Alzheimer's disease
- Spatial navigation
Profiles
-
Donnie Cameron
- Norwich Medical School - Lecturer, Honorary Clinical Teaching Fellow
- Cardiovascular and Metabolic Health - Member
Person: Other related - academic, Honorary, Research Group Member
-
Anne-Marie Minihane
- Norwich Medical School - Professor of Nutrigenomics
- Norwich Institute for Healthy Aging - Member
- Metabolic Health - Member
- Cardiovascular and Metabolic Health - Member
- Nutrition and Preventive Medicine - Member
Person: Research Group Member, Research Centre Member, Academic, Teaching and Research