Cognitive Aging and Neuroanatomical Changes in Older Adults
Summary
Advancing age is accompanied by alterations in cognitive performance across memory, processing speed, executive function and attention. Neuroanatomically, ageing is characterised by region-specific grey matter volume loss, enlargement of the lateral ventricles and accumulation of white matter hyperintensities. These changes follow heterogeneous trajectories influenced by genetic predisposition, cerebrovascular health, sex and lifestyle factors. Longitudinal imaging has revealed that some brain regions—such as the medial temporal lobe—show accelerated decline, whereas others remain relatively preserved until later decades. Integrating multimodal neuroimaging with cognitive assessments has begun to clarify how structural brain ageing underpins variability in resilience and susceptibility to neurodegenerative disorders. Understanding these patterns is crucial for early identification of at-risk individuals and for the development of targeted interventions to maintain cognitive function in later life.
Research from Nature Portfolio
Innovative lifespan modelling of Alzheimer-type and normal brain ageing trajectories has shown that divergence between pathological and healthy decline emerges decades before clinical symptoms. In a large magnetic resonance imaging cohort encompassing young adults through older age, hippocampal volumes in those with Alzheimer-like pathology deviated from the normal ageing curve before 40 years. Subsequent abnormal trajectories were observed in the amygdala and lateral ventricles, the latter following an inverted U-shaped pattern. These findings support the notion that early mid-life neuroanatomical changes herald future cognitive impairment and underscore the value of lifespan-based biomarker modelling for early detection of neurodegenerative risk.
Cognitive Aging and Neuroanatomical Changes in Older Adults publication trend
The graph below shows the total number of articles in cognitive aging and neuroanatomical changes in older adults across all publications each year (not limited to Nature Index journals).
Technical terms
Hippocampus: Medial temporal lobe structure critical for memory formation, often an early site of age-related atrophy.
Grey matter atrophy: Reduction in neuronal cell bodies and synaptic density, measured as volume loss in specific brain regions.
White matter hyperintensities: Lesions visible on MRI representing small-vessel cerebrovascular damage, associated with slowed processing speed and executive decline.
Cerebral blood flow: Rate of blood delivery to brain tissue, typically measured in millilitres per minute, reflecting vascular health and metabolic demand.
Unsupervised clustering: Data-driven analytical method that groups individuals by similarity in brain measures without predefined categories.
Longitudinal trajectory: Pattern of change in a variable (e.g., regional brain volume) tracked over multiple time points in the same individuals.
References
- Lifespan Changes of the Human Brain In Alzheimer’s Disease. Scientific Reports (2019).
- Frontoparietal atrophy trajectories in cognitively unimpaired elderly individuals using longitudinal Bayesian clustering. Computers in Biology and Medicine (2024).
- Population clustering of structural brain aging and its association with brain development. eLife (2024).
- Aging and Sex Differences in Brain Volume and Cerebral Blood Flow. Aging and Disease (2023).
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