ArticleFrontiers in aging neuroscience2018
Brain Aging and APOE ε4 Interact to Reveal Potential Neuronal Compensation in Healthy Older Adults.
Article in Frontiers in aging neuroscience, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 1 of them a synthesis that pooled it.
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Who cites it
18 citing papers in PubMed, 1 synthesis or guideline pooled it, 33 citations in OpenAlex.
- Factors associated with brain ageing - a systematic review.BMC neurology · 2021Pooled it
- Association between low-frequency oscillations in blood pressure variability and brain age derived from neuroimaging.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2025Article
- Article
- Impact ofProceedings of the National Academy of Sciences of the United States of America · 2025Article
- APOE ε4 carrier status moderates the effect of lifestyle factors on cognitive reserve.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2024Article
- Evidence of compensatory neural hyperactivity in a subgroup of chemotherapy-treated breast cancer survivors and its association with brain aging.medRxiv : the preprint server for health sciences · 2024Article
- Previous pregnancies might mitigate cortical brain differences associated with surgical menopause.Human brain mapping · 2024Article
- Ethnic differences in the effects of apolipoprotein E ɛ4 and vascular risk factors on accelerated brain aging.Brain communications · 2024Article
- Evidence of compensatory neural hyperactivity in a subgroup of breast cancer survivors treated with chemotherapy and its association with brain aging.Frontiers in aging neuroscience · 2024Article
- Cerebellar EEG source localization reveals age-related compensatory activity moderated by genetic risk for Alzheimer's disease.Psychophysiology · 2023Article
- Heritability of cognitive abilities and regional brain structures in middle-aged to elderly East Asians.Cerebral cortex (New York, N.Y. : 1991) · 2023Article
- Investigating Compensatory Brain Activity in Older Adults with Subjective Cognitive Decline.Journal of Alzheimer's disease : JAD · 2023Article
- Relationship of prefrontal brain lateralization to optimal cognitive function differs with age.NeuroImage · 2022Article
- Neuroimaging-Based Brain Age Estimation: A Promising Personalized Biomarker in Neuropsychiatry.Journal of personalized medicine · 2022Review
- Measuring Resilience and Resistance in Aging and Alzheimer Disease Using Residual Methods: A Systematic Review and Meta-analysis.Neurology · 2021Article
- Brain-predicted age difference score is related to specific cognitive functions: a multi-site replication analysis.Brain imaging and behavior · 2021Article
- Associations of the Disrupted Functional Brain Network and Cognitive Function in End-Stage Renal Disease Patients on Maintenance Hemodialysis: A Graph Theory-Based Study of Resting-State Functional Magnetic Resonance Imaging.Frontiers in human neuroscience · 2021Article
- Gray matter volume and estimated brain age gap are not linked with sleep-disordered breathing.Human brain mapping · 2020Article
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Authors and funding
8 authors at 6 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Compensation implies the recruitment of additional neuronal resources to prevent the detrimental effect of age-related neuronal decline on cognition. Recently suggested statistical models comprise behavioral performance, brain activation, and measures related to aging- or disease-specific pathological burden to characterize compensation. Higher chronological age as well as the APOE ε4 allele are risk factors for Alzheimer's disease. A more biological approach to characterize aging compared with chronological age is the brain age gap estimation (BrainAGE), taking into account structural brain characteristics. We utilized this estimate in an fMRI experiment together with APOE variant as measures related to pathological burden and aimed at identifying compensatory regions during working memory (WM) processing in a group of 34 healthy older adults. According to published compensation criteria, better performance along with increased brain activation would indicate successful compensation. We examined the moderating effects of BrainAGE on the relationship between task performance and brain activation in prefrontal cortex, as previous studies suggest predominantly frontal compensatory activation. Then we statistically compared them to the effects of chronological age (CA) tested in a previous study. Moreover, we examined the effects of adding APOE variant as a further moderator. Herewith, we strived to uncover neuronal compensation in healthy older adults at risk for neurodegenerative disease. Higher BrainAGE alone was not associated with an increased recruitment in prefrontal cortex. When adding APOE variant as a second moderator, we found an interaction of BrainAGE and APOE variant, such that ε4 carriers recruited right inferior frontal gyrus with higher BrainAGE to maintain WM performance, thus showing a pattern compatible with successful neuronal compensation. Exploratory analyses yielded similar patterns in left inferior and bilateral middle frontal gyrus. These results contrast those from a previous study, where we found no indication of compensation in prefrontal cortex in ε4 carriers with increasing CA. We conclude that BrainAGE together with APOE variant can help to reveal potential neuronal compensation in healthy older adults. Previous results on neuronal compensation in frontal areas corroborate our findings. Compensatory brain regions could be targeted in affected individuals by training or stimulation protocols to maintain cognitive functioning as long as possible.
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