The association between hippocampal subfield volumes and education in cognitively normal older adults and amnestic mild cognitive impairment patients

Kang, Dong Woo; Lim, Hyun Kook; Joo, Soo Hyun; Lee, Na Rae; Lee, Chang Uk

doi:10.2147/ndt.s151659

Cited by 21 publications

(14 citation statements)

References 53 publications

(34 reference statements)

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“… Iglesias et al (2016) described parasubiculum atrophy in AD patients. Regarding AD progression, Dong et al (2018) reported that parasubiculum volume is significantly correlated with neuropsychological test scores in patients with amnestic mild cognitive impairment. Based on these findings, we hypothesize that the parasubiculum may be a potential biomarker for dementia disorders.…”

Section: Discussionmentioning

confidence: 99%

The Volume of Hippocampal Subfields in Relation to Decline of Memory Recall Across the Adult Lifespan

Zheng

Cui

Zhang

et al. 2018

Front. Aging Neurosci.

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Background: The hippocampus is an important limbic structure closely related to memory function. However, few studies have focused on the association between hippocampal subfields and age-related memory decline. We investigated the volume alterations of hippocampal subfields at different ages and assessed the correlations with Immediate and Delayed recall abilities.Materials and Methods: A total of 275 participants aged 20–89 years were classified into 4 groups: Young, 20–35 years; Middle-early, 36–50 years; Middle-late, 51–65 years; Old, 66–89 years. All data were acquired from the Dallas Lifespan Brain Study (DLBS). The volumes of hippocampal subfields were obtained using Freesurfer software. Analysis of covariance (ANCOVA) was performed to analyze alterations of subfield volumes among the 4 groups, and multiple comparisons between groups were performed using the Bonferroni method. Spearman correlation with false discovery rate correction was used to investigate the relationship between memory recall scores and hippocampal subfield volumes.Results: Apart from no significant difference in the left parasubiculum (P = 0.269) and a slight difference in the right parasubiculum (P = 0.022), the volumes of other hippocampal subfields were significantly different across the adult lifespan (P < 0.001). The hippocampal fissure volume was increased in the Old group, while volumes for other subfields decreased. In addition, Immediate recall scores were associated with volumes of the bilateral molecular layer, granule cell layer of the dentate gyrus (GC-DG), cornus ammonis (CA) 1, CA2/3, CA4, left fimbria and hippocampal amygdala transition area (HATA), and right fissure (P < 0.05). Delayed recall scores were associated with the bilateral molecular layer, GC-DG, CA2/3 and CA4; left tail, presubiculum, CA1, subiculum, fimbria and HATA (P < 0.05).Conclusion: The parasubiculum volume was not significantly different across the adult lifespan, while atrophy in dementia patients in some studies. Based on these findings, we speculate that volume changes in this region might be considered as a biomarker for dementia disorders. Additionally, several hippocampal subfield volumes were significantly associated with memory scores, further highlighting the key role of the hippocampus in age-related memory decline. These regions could be used to assess the risk of memory decline across the adult lifespan.

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Section: Discussionmentioning

confidence: 99%

The Volume of Hippocampal Subfields in Relation to Decline of Memory Recall Across the Adult Lifespan

Zheng

Cui

Zhang

et al. 2018

Front. Aging Neurosci.

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“…The potential limitation in the present study is the education levels which were not matched between groups. Education plays an important role in brain modulation based on the individual's education levels and may introduce a confounding effect if not matched [65][66][67] . The hippocampus and amygdala regions play an important role in the reward processing 9 are directly or indirectly influenced by levels of education of the participants.…”

Section: Discussionmentioning

confidence: 99%

Rajyoga meditation induces grey matter volume changes in regions that process reward and happiness

Babu

Kadavigere

Prakashini

et al. 2020

Sci Rep

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Studies provide evidence that practicing meditation enhances neural plasticity in reward processing areas of brain. No studies till date, provide evidence of such changes in Rajyoga meditation (RM) practitioners. The present study aimed to identify grey matter volume (GMV) changes in reward processing areas of brain and its association with happiness scores in RM practitioners compared to non-meditators. Structural MRI of selected participants matched for age, gender and handedness (n = 40/group) were analyzed using voxel-based morphometric method and Oxford Happiness Questionnaire (OHQ) scores were correlated. Significant increase in OHQ happiness scores were observed in RM practitioners compared to non-meditators. Whereas, a trend towards significance was observed in more experienced RM practitioners, on correlating OHQ scores with hours of meditation experience. Additionally, in RM practitioners, higher GMV were observed in reward processing centers—right superior frontal gyrus, left inferior orbitofrontal cortex (OFC) and bilateral precuneus. Multiple regression analysis showed significant association between OHQ scores of RM practitioners and reward processing regions right superior frontal gyrus, left middle OFC, right insula and left anterior cingulate cortex. Further, with increasing hours of RM practice, a significant positive association was observed in bilateral ventral pallidum. These findings indicate that RM practice enhances GMV in reward processing regions associated with happiness.

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“…Despite the smaller hippocampal volumes, participants in path A progress slower relative to those in path B, indicating potential resistance to the damage of the disease. More longitudinal analysis is required to better understand the complex relationship among cognitive reserve, education, and hippocampal volume [44]. The increased risk of amyloidosis in APOE ε4 carriers has been investigated in the literature [45].…”

Section: Discussionmentioning

confidence: 99%

Characterizing heterogeneity in the progression of Alzheimer's disease using longitudinal clinical and neuroimaging biomarkers

Goyal

Tjandra

Migrino

et al. 2018

Alz & Dem Diag Ass & Dis Mo

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Introduction Models characterizing intermediate disease stages of Alzheimer's disease (AD) are needed to inform clinical care and prognosis. Current models, however, use only a small subset of available biomarkers, capturing only coarse changes along the complete spectrum of disease progression. We propose the use of machine learning techniques and clinical, biochemical, and neuroimaging biomarkers to characterize progression to AD. Methods We used a large multimodal longitudinal data set of biomarkers and demographic and genotype information from 1624 participants from the Alzheimer's Disease Neuroimaging Initiative. Using hidden Markov models, we characterized intermediate disease stages. We validated inferred disease trajectories by comparing time to first clinical AD diagnosis. We trained an L2-regularized logistic regression model to predict disease trajectory and evaluated its discriminative performance on a test set. Results We identified 12 distinct disease states. Progression to AD occurred most often through one of two possible paths through these states. Paths differed in terms of rate of disease progression (by 5.44 years on average), amyloid and total-tau (t-tau) burden (by 10% and 69%, respectively), and hippocampal neurodegeneration ( P < .001). On the test set, the predictive model achieved an area under the receiver operating characteristic curve of 0.85. Discussion Progression to AD, in terms of biomarker trajectories, can be predicted based on participant-specific factors. Such disease staging tools could help in targeting high-risk patients for therapeutic intervention trials. As longitudinal data with richer features are collected, such models will help increase our understanding of the factors that drive the different trajectories of AD.

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The association between hippocampal subfield volumes and education in cognitively normal older adults and amnestic mild cognitive impairment patients

Cited by 21 publications

References 53 publications

The Volume of Hippocampal Subfields in Relation to Decline of Memory Recall Across the Adult Lifespan

The Volume of Hippocampal Subfields in Relation to Decline of Memory Recall Across the Adult Lifespan

Rajyoga meditation induces grey matter volume changes in regions that process reward and happiness

Characterizing heterogeneity in the progression of Alzheimer's disease using longitudinal clinical and neuroimaging biomarkers

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