Neurobiology of Aging

Late-onset Alzheimer disease (LOAD), the most common form of dementia among older adults, is a neurodegenerative disease characterized by brain amyloid-{beta} (A{beta}) plaque deposition and neurofibrillary tangles. The causes of LOAD are not known but several recent lines of evidence implicate the adaptive immune system. Here, we sought to characterize somatic T-cell receptor (TCR) sequence diversity profiles and class I and II human leukocyte antigen (HLA) alleles from DNA extracted from peripheral tissues from Midwestern Amish participating in longitudinal studies of aging. We immunosequenced the TCR beta chain from genomic DNA of 72 Midwestern Amish, including participants with clinically diagnosed LOAD (n=6), mild cognitive impairment (MCI; n=16), cognitive impairment but not AD (CINAD; n=3), and 35 cognitively unaffected. TCR sequence diversity by cognitive status was examined using a variety of metrics, and tests of association were performed between cognitive status and HLA alleles. For a subset of participants, plasma biomarkers for LOAD pathogenesis were available to evaluate TCR sequence diversity by cognitive status. TCR sequence diversity measured as Simpsons clonality was lower among LOAD+MCI compared with non-LOAD, but these differences were not independent of age. Relatively few clonotypes (exact nucleotide sequences) were shared across participants; of those few shared include the Epstein Barr virus associated clonotype. HLA-A*03:01 and several HLA-DRB1 alleles were under-represented among LOAD+MCI participants compared with cognitively unaffected participants, but these associations were no longer significant in adjusted analyses. Among LOAD+MCI participants with plasma biomarkers, increased p-tau181 was associated decreased TCR sequence diversity, and the association was independent of age. In this limited Midwestern Amish sample, the observed TCR diversity associations are consistent with the involvement of the adaptive immune system in LOAD.

Alzheimer's disease is associated with both mitochondrial dysfunction and altered neurophysiological signalling. Peripheral measures of mitochondrial respiration have been established as effective predictors of mitochondrial function in the healthy brain, and more recently, of altered brain signalling in clinical groups. Here, we sought to assess whether peripheral mitochondrial energetics are associated with altered neural signalling in Alzheimer's disease. We collected task-free magnetoencephalography (MEG) from individuals on the Alzheimer's disease continuum (69.21 [6.91] years; n = 38) and cognitively normal older adults (72.20 [4.73] years; n = 20). Each participant also provided a blood sample for analysis of mitochondrial respiration using the Seahorse XF96 Analyzer. We used region-wise linear models to test the relationship between ATP-linked mitochondrial respiration and Alzheimer's disease associated neurophysiological changes. We found that mitochondrial respiration linked to ATP production is associated with altered alpha and theta band cortical rhythms in Alzheimer's disease (: pFDR < 0.05, r = -0.7; {theta}: pFDR < 0.05, r = -0.6). We then tested colocalization of mitochondria-neurophysiological relationships with a human brain atlas of respiratory capacity and found that brain regions with lower mitochondrial respiratory capacity exhibit a stronger relationship between aperiodic signalling and peripheral ATP-linked respiration (pFDR = 0.003, r = 0.35). Our findings suggest that peripheral blood measures of mitochondrial function can offer insight into the neurophysiological alterations associated with energetic changes in Alzheimer's disease and warrant further investigation into the translational potential of joint neuronal mitochondrial markers of neurological diseases of aging.

Epigenetic clocks of biological aging have been associated with cognitive impairment and dementia. Less is known about whether they are associated with an older-appearing brain or with an atrophy pattern associated with dementia. We examined associations of five epigenetic clocks measured at baseline with the Spatial Pattern of Atrophy for Recognition of Brain Aging (SPARE-BA) and the Alzheimers Disease Pattern Similarity Score (AD-PS) derived from structural MRIs obtained an average of 8 years later among 1,196 older women. Using linear regression models adjusting for relevant covariates, we observed no associations between any epigenetic clock and accelerated brain aging based on SPARE-BA. We observed a significant association between AgeAccelGrim2 and AD-PS ({beta} = 0.015; 95% CI 0.004 to 0.027; p = 0.01). This association appeared to be primarily driven by the association of a DNA methylation marker of smoking pack years with frontal and temporal lobe volumes. AgeAccelGrim2 was not associated with volumes in regions implicated in early AD (hippocampus and entorhinal cortex). Taken together with prior findings, these results suggest that measures of epigenetic and brain age acceleration capture different aspects of biological aging, and that AgeAccelGrim2 is predictive of neurodegenerative changes associated with smoking that increase risk of dementia.

Alzheimers disease (AD) neuropathological changes can be detected with blood-based biomarkers during the long preclinical phase that precedes clinical diagnosis. Tau phosphorylated at threonine 217 (p-tau217) has been found to closely correlate with brain A{beta} burden. A recent large-scale cross-sectional study showed elevated p-tau217 concentrations in older individuals (Aarsland et al., 2025). This increase was higher in those with AD dementia and mild cognitive impairment (MCI), and lower in those with intact cognition and higher educational attainment. Thus, intact cognition and higher education may be associated with lower levels of AD neuropathological changes. Here we tested this hypothesis using longitudinal data from the population-based Betula study (n=1005; 1531 samples). The results revealed increases with increasing age over 10 years in p-tau217, where individuals with accelerated episodic-memory decline had the strongest increase. There were no differences in p-tau217 trajectories between individuals with lower or higher education or with well-maintained or age-typical decline in episodic memory. The lack of association with education was further replicated in the independent BioFINDER-2 cohort. These findings underscore the value of plasma p-tau217 for detecting early pathological changes in population-based settings but provide no support that individuals with well-maintained episodic memory or high educational attainment are spared from neuropathological changes.

Olfactory decline is a well-established aspect of Parkinsons disease (PD) and is considered one of its earliest signs, often preceding motor symptoms by years to decades. However, because olfactory impairment is also common in healthy aging and other medical conditions, current olfactory tests that score performance (odor detection, discrimination, and identification) lack disease specificity. In contrast to performance scores, olfactory perceptual fingerprints are derived from odor ratings and sniffing behavior, and provide a stable measure of how the world smells to an individual. To test the hypothesis that olfactory perceptual fingerprints may provide a disease-specific marker, we obtained them in three cohorts: Individuals with PD (n=33), healthy age-matched controls (n=33), and critically, in participants with non-PD olfactory dysfunction (n=28). Consistent with previous results, a standard clinical olfactory test detected impairment in both PD and non-PD olfactory dysfunction, but failed to distinguish between these two groups. In contrast, olfactory perceptual fingerprints detected impairment, and distinguished PD from non-PD olfactory dysfunction at 88% accuracy (SVM classification, leave-one-out cross validation, 90% sensitivity, 85% specificity, P=3.2x10-4), or 94% accuracy after matching age and sex (SVM classification, leave-one-out cross-validation, 100% sensitivity, 88% specificity, P=0.0047). The difference between PD related and unrelated olfactory decline was particularly evident in sniffing behavior: Whereas both healthy participants and non-PD olfactory decline groups decreased sniff duration in response to unpleasant odors (-12.5% and -11.36% respectively), individuals with PD paradoxically increased sniff duration (+1.69%; P=4.5x10-5). Thus, PD was marked not by loss of olfactory performance, but by a distinct shift in olfactory perception. These findings imply that olfactory perceptual fingerprints provide for a disease-specific marker in PD.

Alzheimer's disease (AD) is a major cause of dementia, with polygenic risk scores (PRSs) widely used to capture cumulative genetic risk. While PRSs have been associated with cognitive decline, their relevance to clinically accessible measures in general populations is not yet fully established, particularly in non-European cohorts. In this study, we investigated the association between AD PRSs and cognitive function assessed by the Mini-Mental State Examination (MMSE) in a community-dwelling Japanese older population (N = 1,301). Three PRSs were constructed using genome-wide association study (GWAS) summary statistics derived from European and Japanese populations. Among the PRSs, the score based on Japanese GWAS showed the strongest and most consistent association with MMSE score, whereas those based on European GWAS showed weaker or no associations. Stratification analyses further demonstrated that individuals with higher PRS exhibited lower MMSE scores and a higher prevalence of cognitive impairment. Notably, these associations were attenuated after excluding participants with dementia, suggesting that PRS primarily reflects clinically relevant cognitive decline. No significant associations were observed between PRSs and hippocampal volume in our cohort. These findings highlight the importance of population-specific PRS and suggest its potential utility for stratifying cognitive impairment using simple clinical measures in community-based settings.

Despite several age-related processes impacting motor performance, older adults often retain the ability to implicitly adapt to sensory prediction errors. Here, we leverage the fact that implicit adaptation is not attenuated by aging to study the impact of aging on responses to motor errors. In other domains, such as reinforcement learning, aging has been shown to influence how task outcomes or rewards are processed and used to guide subsequent actions, with some studies emphasizing that older adults react more strongly to a miss than to a hit. We aimed to extend these reinforcement learning findings to the motor domain with two preregistered experiments testing whether missing the target leads to larger implicit adaptation in young and older adults to the same extent. In addition, we compared these results to one reinforcement learning task in the motor domain (Boolean feedback after reaching in the absence of visual feedback) and one in the cognitive domain (reward-based decision making). While we found age-related effects in the cognitive domain, we did not observe a consistent effect of age on the modulation of reaching direction or motor adaptation by task outcomes. These results suggest a domain-specific nature of age-related changes in sensitivity to task outcomes.

Multiscale entropy (MSE) changes in relation to age, whereby aging is associated with an increasing bias towards fine scale entropy. This change is thought to represent a shift toward localized information processing in the brain as we age. However, this relationship has not been tested in large sample sizes alongside other demographic factors and cognitive behaviours. This study aimed to validate previously reported effects of aging on MSE in a large open access database (Cambridge Centre for Ageing and Neuroscience, N=587) and expand the findings to include an investigation of the effects of sex and a variety of cognitive behaviours. MSE curves and power spectrum densities (PSD) were calculated for each region of interest from the magnetoencephalography data. Multivariate partial least squares analyses were used to assess the relationship between MSE or PSD and 5 behavioural / demographic factors including: age, sex, fluid intelligence, visual short-term memory and a generalized measure of cognitive function. Age was associated with increased fine scale and decreased coarse scale entropy, as well as complementary spectral changes, including slowing of peak alpha rhythms, increased beta-band activity, and reduced gamma-band activity, which replicates prior MSE and PSD findings. In both domains, these age-related patterns differentiated based on sex with advancing age. Importantly, the unique effects of sex diverged between MSE and PSD. This result indicates that entropy-based measures can isolate aspects of temporal organization that are not clearly summarized by spectral structure alone.

Chronic inflammation is a common feature of aging and is observed across various age-related neurodegenerative diseases, including Alzheimers disease (AD). It has, however, been challenging to develop measurements of brain structure directly linked to peripheral measures of neuroinflammation. This cross-sectional study examined whether plasma levels of markers related to inflammation are associated with diffusion magnetic resonance imaging (dMRI) measures of white matter microstructure: mean diffusivity (MD) and Neurite Orientation Dispersion and Density Imaging (NODDI) free water fraction (FWF) and orientation dispersion index (ODI). Participants included 457 dementia-free individuals (mean age=63.82, SD=7.63). Blood plasma markers related to inflammation included two measures of systemic inflammation, (1) high-sensitivity C-reactive protein (CRP), and (2) a composite of pro-inflammatory cytokines (IL-1, IL-1{beta}, IL-2, IL-6, IL-8, TNF-, TNF-{beta}), as well as (3) glial fibrillary acidic protein (GFAP), a measure of astrocytic activation. Higher cytokine composite levels were associated with higher values of all three measures (FWF, ODI, MD) in cerebral white matter, and with higher ODI in the cerebellar peduncles. Higher CRP levels were associated with higher ODI in cerebral and cerebellar white matter. Associations with GFAP were not significant after adjusting for multiple comparisons. Results were consistent after accounting for plasma biomarkers of AD pathology (p-tau181/A{beta}42). Thus, higher levels of peripheral pro-inflammatory markers are associated with white matter microstructure (higher FWF, ODI, and MD), supporting the view that these dMRI-based metrics are sensitive to inflammatory processes. Additionally, the sensitivity of dMRI-based measures to inflammation may differ by inflammatory marker types.

Several aspects of parameterised neural activity, including the aperiodic exponent and individual peak alpha frequency, have emerged as promising biomarkers for ageing, pathology, and cognitive decline. Their potential clinical application is tempered by a lack of evidence on long-term temporal stability. Existing investigations have largely relied on cross-sectional designs or considered stability for up to 90 days. Here, we examined five-year reliability, stability, and age-related changes in periodic and aperiodic neural activity using electroencephalography in adults aged 20-70 years. Resting-state EEG was recorded in two sessions, approximately five years apart. We extracted the aperiodic exponent, aperiodic offset, peak alpha power, and individual alpha peak frequency from each channel and examined test-retest reliability at both the channel and cluster levels. All parameters demonstrated fair to excellent test-retest reliability (intraclass correlations = 0.51-0.88). Linear mixed models revealed that individual peak alpha frequency decreased, the aperiodic exponent flattened, and parameterized alpha power remained unchanged. There were no interactions between time and age. Our findings suggest that parameterized activity is reliable over long timeframes and likely captures neural ageing. Spectral parameterization may provide a means of characterizing gradual, normative neurophysiological ageing. Future research should explore the utility of identifying deviations that may indicate pathology.

Twice as many women develop Alzheimers disease (AD) compared to men. Several key aspects, such as genetic risk factors, hormonal vulnerability, social responsibilities, and differences in longevity, contribute to the strong female bias in AD. To assess whether sex differences can be detected during the onset of AD, we examined the amyloid-{beta} (A{beta}) plaque burden--one of the hallmarks of AD--and microglial states in young 5XFAD mouse models of amyloid pathology. We hypothesized that an increase in microglial cell number and phagocytic activity will directly correlate with an elevated A{beta} burden and shape the appearance of compact dense-core plaques in the cortex from 2 to 6 months of age. As expected, no change in microglial density and phenotype was found in A{beta} plaque-free hypothalamus of 5XFAD male and female mice when compared to age-matched wildtype controls. By quantifying the number and coverage of diffuse and dense-core plaques in the cortex, we discovered a pronounced increase in A{beta} plaques and microglial clustering in 4-month-old female 5XFAD compared to male mice. By 6 months, no sex difference in plaque load and microglial density was observed. Our spatiotemporal characterization of microglial Clec7a/Dectin-1 and CD68 expression revealed sex differences in the upregulation of these phagocytic markers in plaque-proximal microglia. In 2-months-old males, greater phagolysosomal activity around diffuse plaques may benefit A{beta} clearance. However, in females, the lower initial microglial reactivity and subsequent rise in Dectin-1-driven phagocytic activity may have led to the increase in dense-core plaques at 4 months. Our results suggest that during early amyloidosis, sex differences in CD68-associated lysosomal activity and microglia-driven plaque compaction may cause disproportionate AD risk and severity that is compounded by other exacerbating factors during aging. Taken together, sex-specific targeting of microglial proliferation and phagocytic activity may be a promising intervention in presymptomatic patients with known AD risks.

Cognitive flexibility is an executive function that enables adapting behaviour to a changing environment and is thus critical for daily life. The degree of its preservation upon healthy aging and the neural mechanisms underlying it are still a matter of debate. To investigate the electrophysiological correlates of cognitive flexibility in older age, we measured cognitive flexibility in 99 young (24.75 {+/-} 4.45 years) and 83 older adults (69.19 {+/-} 6.25) using electroencephalography (EEG). Compared to young adults, older adults showed a more conservative response pattern with longer reaction times, but lower error rates (speed-accuracy tradeoff). In the EEG, both age groups exhibited increased theta-power during set-shifting, with a fronto-central peak in the young, but a more fronto-lateral topography in older adults. Importantly, both groups displayed increases in theta coherence and global efficiency during set-shifting, but coherence modulations were restricted in frontocentral areas in the young but were diminished and distributed across the scalp in the older. Better set-shifting performance was most strongly associated with high coherence and global efficiency irrespective of age group. These results point to an age-related change of cortical processing underlying cognitive flexibility which involves the employment of more distributed neural resources for successful task completion.

Aging affects cerebellar structure, yet the regional specificity of this decline and its relationship to sensorimotor function remain unclear. In this study, we quantified age-related gray matter differences in 50 young and 80 older adults using both anatomically defined cerebellar parcellations and a functionally defined cerebellar atlas. Across both anatomical and functional parcellations, older adults showed robust reductions in gray matter volume relative to young adults. However, contrary to prior reports of region-specific vulnerability, age effects did not differ significantly across regions: both datasets demonstrated remarkably uniform gray matter decline. Structural covariance analyses revealed that correlations between cerebellar regions were determined primarily by spatial proximity and, to a lesser extent, by medial-lateral (vermis-hemisphere) organization or functional similarity. Importantly, the topological organization of the cerebellum remained stable across age groups, indicating preserved structural coordination despite widespread gray matter loss. Finally, despite substantial interindividual variability in behavioral, regional cerebellar gray matter volumes, whether anatomically or functionally defined, did not predict inter-individual variability for any of our eight cerebellum-dependent outcomes. This absence of structure-function relationships suggests that behavioral performance is maintained through compensatory mechanisms or microstructural features not captured by regional gray matter volume. Together, the results demonstrate uniform age-related cerebellar degeneration alongside preserved topological organization and no measurable impact on cerebellar sensorimotor function, supporting the notion of a robust cerebellar reserve throughout healthy aging.

Memory performance typically declines with age, but the underlying neurobiological mechanisms remain unclear. Superagers, people over 80 years of age with episodic memory performance comparable to individuals 30 years younger, appear to resist this decline. Novelty and expectation violations are known to engage the hippocampus-midbrain system to enhance memory formation. Here, we examined whether superagers superior memory performance is supported by preserved hippocampal-midbrain function during novelty and expectation processing. We manipulated item and contextual novelty (i.e., expectation violations) during encoding to test whether superagers show greater mnemonic benefits than their age-matched peers, whether these benefits reflect enhanced hippocampal and midbrain functioning as measured by fMRI, and whether they are associated with preserved dopaminergic integrity measured with neuromelanin-sensitive MRI. Our results show that, although superagers demonstrated overall superior memory performance, both groups exhibited superior recognition of contextually unexpected items. Nevertheless, differences emerged in the processing of expectation during encoding. Superagers exhibited stronger hippocampal responses to expectation violations and habituation to expected events, irrespective of item novelty. Conversely, typical older adults exhibited reduced midbrain response when expected novelty was absent. Neuromelanin accumulation did not account for group differences in midbrain activity or memory performance. Taken together, these findings suggest superagers benefit from adaptive responses to expectation and its violation, which is therefore a candidate mechanism distinguishing exceptional from typical cognitive ageing. SIGNIFICANCE STATEMENTAlthough memory typically declines with age, superagers are individuals aged over 80 who maintain memory performance comparable to people 30 years younger. We examined whether preserved hippocampal-midbrain function during novelty and expectation processing could underlie their superior memory. Superagers exhibited adaptive hippocampal responses to expectation and its violation, with higher activation for unexpected events and habituation to expected events. In contrast, typical older adults showed hippocampal and midbrain responses oriented towards anticipated novel content, despite not showing differences in neuromelanin accumulation. These findings underscore the critical role of hippocampal function in supporting memory preservation in late life and advance our understanding of the neural mechanisms underlying healthy cognitive ageing.

Klotho KL is an aging factor that has been associated with Alzheimers Disease (AD) risk. Two common alleles circulate in human populations: the major allele FC and the minor allele VS, which is defined by two SNPs that cause two amino acid substitutions (F352V and C370S) in KLs second exon. To investigate the possibility that human KL variants influence brain aging and cognition, we developed a novel mouse model with humanized KL alleles. We used RNA-Seq to measure the whole brain transcriptome in four-and 12-month-old male and female C57Bl/6J mice carrying either the FC or the VS KL allele. We found that FC and VS carriers had widespread differences in gene expression in the brain at 12 months old, but not at four months old. The largest differences were in genes annotated to mitochondrial, ribosomal, and synaptic functions. Differential exon usage analysis identified differential splicing of synaptic genes, further supporting a role for KL on neuronal function. A more focused analysis of differential expression identified variation in glutamate receptors and amyloid precursor (APP) processing in particular, thereby linking human KL haplotypes to biological processes integral to AD pathogenesis. These results provide evidence that the human FC and VS KL haplotypes affect the function of the KL protein product in a manner that has widespread effects on gene expression in the brain and supports the hypothesis that these haplotypes may influence AD risk and pathogenesis.

Parkinsons disease (PD) is a disabling neurodegenerative disorder with a substantial heritable component. Despite major advances in genome-wide association studies (GWAS), polygenic risk scores (PRS) show reduced predictive performance outside European populations, limiting equitable translation. Latin American populations represent a particularly difficult case because of their characteristic three-way admixture. We evaluated the cross-ancestry transferability of PD PRS in 1,872 PD cases and 1,443 controls of Latin American ancestry using data from the Global Parkinsons Genetics Program (GP2). PRS were constructed using summary statistics from a large European-ancestry GWAS, a moderately sized mixed-ancestry GWAS meta-analysis, and a small ancestry-matched Latin American GWAS. We benchmarked two single-ancestry approaches (PRSice-2 and SBayesRC) against two multi-ancestry methods (PRS-CSx and BridgePRS) that explicitly model cross-population genetic architecture. Across all performance metrics, SBayesRC performed best. PRS derived from large European GWAS achieved the highest effect size (odds ratio = 2.02; pseudo-R{superscript 2} = 0.031) while PRS derived from mixed ancestry GWAS meta-analysis yielded the highest discriminative ability (AUC=0.67). Our findings demonstrate that, under current sample size imbalances, well-powered European discovery GWAS outperform ancestry-matched but underpowered datasets in three-way admixed populations. Incorporating functional annotations, as implemented in SBayesRC, improves portability across ancestries. However, the full potential of multi-ancestry PRS methods will require substantially larger ancestry-matched discovery GWAS, underscoring the urgent need to expand genetic studies in underrepresented populations.

BACKGROUNDEpisodic memory declines early with aging, reflecting reduced neural resources and diminished memory specificity. However, few studies have created a cognitive challenge with multiple levels of task demand to investigate this early subtle decline. Furthermore, it is unclear whether the genetic Alzheimers disease risk factor APOE4 and early Alzheimers pathology constrain the neural resources required to cope with increasing task demands. METHODSIn this preregistered behavioral study named EMCOMP (Episodic Memory & COMPensation), we conducted a semantic episodic memory retrieval task using a sentence-based task demand manipulation with five demand levels at recognition (novel foils, "old" target sentences, and three lure levels) and two demand levels at free and cued recall (gist and details). We collected data from 100 cognitively unimpaired adults (37 young (mean age 24 years), 63 older (mean age 72 years)) with additional neuropsychological testing and blood-based measures available for the older group. First, we investigated differences in EMCOMP episodic memory retrieval accuracy and confidence between young and older adults in linear mixed-effects models. Second, we investigated differences associated with the APOE4 genotype and plasma-derived Alzheimers pathology. Third, we assessed correlations between EMCOMP recognition and recall and established cognitive tests. RESULTSYoung adults showed higher recognition accuracy and confidence as well as a higher recall score and a lower recall error rate compared to older adults. As recognition-task demand increased there was a steeper decline in recognition accuracy and a steeper increase in high-confidence errors in older compared to younger adults and in older APOE4 carriers compared to older non-carriers. However, we found no associations with Alzheimers pathology. EMCOMP performance was positively correlated with established cognitive tests. CONCLUSIONOur study demonstrates age- and APOE4-related differences in episodic memory retrieval under increasing task demands - differences that may not be detectable in paradigms with only one or two levels of task demand. By manipulating semantic retrieval specificity, we provide a novel approach to detect subtle cognitive deficits and potential functional compensation in cognitively unimpaired older adults with risk factors or early Alzheimers pathology. Future research should extend this work to more diverse samples and combine behavioral assessment with fMRI to examine underlying brain activation patterns and functional connectivity.

The ability to learn broad concepts from individual instances is relevant throughout our lifespans as new concepts enter the world, and we seek to acquire new skills and hobbies that can enrich our lives. While older age has been associated with declines in the ability to remember individual instances, less is known about how these declines impact concept learning and generalization or the neural systems that older adults recruit to support abstraction. In the present study, we used prototype-based category learning as a domain to test age differences in concept learning. Young and older adults completed a category-learning task while undergoing fMRI. We fit formal prototype and exemplar models to behavioral and brain data to index concept learning based on abstraction versus memory for individual category members. We found that the fit of both models to behavior was poorer in older adults, but older adults were more likely than young adults to be best fit by the prototype model and less likely to be best fit by the exemplar model. While only young adults showed significant prototype-tracking in the hippocampus, both young and older adults recruited the ventromedial prefrontal cortex (VMPFC) to support prototype-based generalization. Although evidence for age differences in prototype representations emerged in a whole-brain analysis, evidence for age differences were weak in the VMPFC and hippocampus. Thus, engagement of the VMPFC prototype-learning system may help maintain concept generalization in older adults.

Current evidence suggests that older adults perform worse at tasks involving spatial memory and navigation, yet the underlying reasons remain unclear. Here, we tested the hypothesis that age-related declines in spatial memory stem from difficulties in recognizing spatial environments from rotated perspectives. Young and older adults underwent fMRI as they encoded virtual scenes which were later viewed either from the same or rotated perspective. Older adults were worse at identifying changes in these scenes, although the age effect was equally robust across perspective conditions. Neural specificity of scene representations was examined with the phenomenon of fMRI repetition adaptation. We predicted that young adults would show significant fMRI adaptation to the same but not rotated perspective, indicative of intact viewpoint specificity, while older adults show would adaptation effects to both. While analyses of raw fMRI BOLD produced results consistent with these predictions, follow-up analyses revealed a general attenuation of activity in older adults across both perspective conditions. Additionally, although older adults showed both lower fMRI BOLD and worse spatial memory, lower trial-wise BOLD was associated with better performance independent of age. This suggests that the variance associated with fMRI adaptation is reflective of two independent sources of variance: age and cognition. Our results suggest that age differences in spatial memory may manifest due to cognitive and neural factors that are shared across same and rotated perspectives, and thus they cannot be explained by a selective deficit in allocentric (viewpoint-independent) processing. Significance StatementIncreasing age is often associated with reduced spatial memory and navigation. Prior research suggests that age differences in spatial memory could be exacerbated by changes in perspective, possibly due to increased difficulties in the ability to construct allocentric (viewpoint-independent) representations from previously encoded egocentric perspectives. Here, we demonstrate that older adults are equally disadvantaged when recognizing layouts across same and rotated perspectives. FMRI analyses indicate that older age is associated with reduced fMRI BOLD in higher-level visual cortex across both perspective conditions, as opposed to altered specificity of perspective coding. Consequently, the present study challenges the notion that aging is associated with a selective decline in allocentric spatial memory and instead supports a more general age-related difficulty with scene processing.

The nuclear receptor Nurr1 (NR4A2) is an essential transcription factor that governs the differentiation, maturation, and long-term maintenance of midbrain dopaminergic (mDA) neurons in the substantia nigra. Reduced Nurr1 expression has been closely linked to age-related dopaminergic neuronal loss and the pathogenesis of Parkinsons disease. However, the molecular mechanisms regulating Nurr1 expression and protein stability in the aging midbrain remain poorly understood. Here, we identify Janus kinase 2 (JAK2) as a previously unrecognized regulator of Nurr1 in mDA neurons. In the substantia nigra of aged mice (12-and 18-month-old), JAK2 was robustly expressed in Nurr1-positive mDA neurons, whereas its expression was minimal in young adult mice. In SK-N-BE(2)C neuroblastoma cells, overexpression of JAK2 modestly enhanced Nurr1 transcriptional activity, while the constitutively active mutant JAK2V617F markedly increased it. Notably, this effect was not blocked by pharmacological inhibition of STAT, PI3K, or Akt signaling pathways, indicating that JAK2 regulates Nurr1 independently of canonical JAK/STAT or PI3K/Akt signaling. Mechanistically, JAK2 did not promote tyrosine phosphorylation of Nurr1 but instead physically interacted with Nurr1, leading to enhanced nuclear stability of the Nurr1 protein. Consistent with this mechanism, expression of JAK2V617F increased Nurr1 protein levels without altering its mRNA expression. Functionally, co-expression of JAK2V617F and Nurr1 attenuated oxidative stress-induced cytotoxicity and reduced reactive oxygen species accumulation. Together, these findings reveal a phosphorylation-independent mechanism by which JAK2 stabilizes Nurr1 protein and enhances its transcriptional activity. Our results further suggest that age-associated induction of JAK2 in dopaminergic neurons may promote neuronal resilience by maintaining Nurr1 protein stability during aging.