Age effects on atrophy rates of entorhinal cortex and hippocampus

Du, Antao; Schuff, Norbert; Chao, Li-Lian; Kornak, John; Jagust, William J.; Kramer, Joel H.; Reed, Bruce R; Miller, Bruce L.; Norman, David; Chui, Helena C.; Weiner, Michael W.

doi:10.1016/j.neurobiolaging.2005.03.021

Cited by 188 publications

(179 citation statements)

References 61 publications

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“…However, opposite results were also observed. Indeed, Du et al, reported that the APOE ε4 allele did not contribute to increase the atrophy rate of the hippocampus and of the enthorinal cortex in a cross-sectional study (34). Similarly, in a 1-year volumetric follow-up study, Jack et al (35) reported that the hippocampal volume decrease did not differ in normal subjects carrying with different APOE alleles.…”

Section: Discussionmentioning

confidence: 94%

Regional atrophy of transcallosal prefrontal connections in cognitively normal APOE ϵ4 carriers

Filippini

Zarei

Beckmann

et al. 2009

Magnetic Resonance Imaging

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Purpose:To investigate the possible effect of the APOE ε4 allele on age-related regional volume loss within the corpus callosum (CC) in healthy ε4 allele carriers compared with noncarriers. Materials and Methods:A total of 211 subjects, ages 27 to 83 years, 51 ε4 carriers and 160 noncarriers underwent T1-weighted MRI scan. All subjects had normal MRI scan and performed within normal range on a neuropsychological battery of tests. CC was segmented into seven functionally relevant regions using a previously published probabilistic map of the CC connectivity. We measured the volumes of the CC and its subregions. We used a regression model (with volumes as dependent and age as independent variables) and compared the slopes between carriers and noncarriers using an analysis of covariance model. We also carried out voxel-based-morphometry analysis to investigate the possible effect of the APOE ε4 gene on the gray matter. Results:We found that the volume of the CC and all subregions decreased with increasing age in both groups. The slope was steeper in the APOE ε4 carriers compared withthe noncarriers particularly in the prefrontal region (P ϭ 0.02). No gray matter differences were observed between the two groups.Conclusion: APOE ε4 polymorphism is associated with accelerated age-related volume loss in the prefrontal callosal tracts without gray matter loss. This result suggests the role of APOE ε4 in the brain aging by primarily affecting white matter structures particularly in the frontal lobe.

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Section: Discussionmentioning

confidence: 94%

Regional atrophy of transcallosal prefrontal connections in cognitively normal APOE ϵ4 carriers

Filippini

Zarei

Beckmann

et al. 2009

Magnetic Resonance Imaging

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“…One of the major factors associated with hippocampal changes is age. The age association has been demonstrated in several studies with cross-sectional (Lim et al, 1990, Coffey et al, 1992, Pfefferbaum et al, 1994, Sullivan et al, 1995, De Leon et al, 1997, Schuff et al, 1999, Jernigan et al, 2001, Scahill et al, 2003, Sullivan et al, 2005 and longitudinal (Jack et al, 1998, Scahill et al, 2003, Raz et al, 2004b, Du et al, 2006 designs. Recent research based on magnetic resonance imaging (MRI) has also demonstrated that a spatial mapping method could enhance the detection of the subtle changes in volumetric information and the understanding of age effects on specific regions of hippocampi (Janke et al, 2001, Wang et al, 2003, Thompson et al, 2004, Chetelat et al, 2005.…”

Section: Introductionmentioning

confidence: 85%

“…However, these findings in healthy subjects have been inconsistent. Some studies revealed that age was not significantly related to the volume reduction of the hippocampus (Sullivan et al, 1995, Sullivan et al, 2005; others obtained the opposite results (Lim et al, 1990, Convit et al, 1995, De Leon et al, 1997, Jernigan et al, 2001, Scahill et al, 2003, Raz et al, 2004a, Raz et al, 2004b, Du et al, 2006. The discrepancies in the results of these reports might be due to differences in the segmentation of anatomical regions, or in the age range of the subjects studied.…”

Section: Introductionmentioning

confidence: 93%

“…In addition to treating age as a matching factor, many studies have analyzed the effect of aging on the volume of the hippocampus (Lim et al, 1990, Convit et al, 1995, Sullivan et al, 1995, De Leon et al, 1997, Jernigan et al, 2001, Scahill et al, 2003, Raz et al, 2004a, Raz et al, 2004b, Sullivan et al, 2005, Du et al, 2006. However, these findings in healthy subjects have been inconsistent.…”

Section: Introductionmentioning

confidence: 99%

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Age effects on hippocampal structural changes in old men: The HAAS

Valentino

Scher

et al. 2008

NeuroImage

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Understanding the variability of the hippocampus in human brain research is essential. The effect of age on the hippocampus has been explored in several studies that have been focused on either normal aging or neural degeneration. Shape analysis of magnetic resonance imaging (MRI) provides morphological measures for brain structures. This study further investigates the age effects on hippocampal morphology in three groups (104 normal controls, 24 Alzheimer's disease (AD) and 14 vascular dementia (VaD) patients). By utilizing a parametric shape analysis of hippocampal MRI scans, each individual distance map is generated and analyzed statistically. Specifically, after eliminating similarity parameters (rotation, translation, and scaling) effects for each hippocampus, an individual distance map is generated from parametric hippocampal surfaces and medial axes. Then statistical methods, including regression, and permutation tests, are applied to detect the differences in hippocampal distance maps and volumes under the effect of age in each group. Statistical analyses reveal that the loss of hippocampal volume and changes in shape are more significantly related to aging in the control group than in AD/VaD. The results also show that the asymmetry of hippocampus in healthy subjects is greater than that in either of the disease groups. Our study shows that 3D statistical shape analysis could enhance the understanding of age effects on local areas of hippocampi. However, the sample sizes of disease groups are relatively low; further studies with more AD/VaD data are needed.

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“…Jokinen et al, 2012; Kramer et al, 2007]. However, some researchers have discovered no change‐change correlations between brain volumes and cognitive abilities: Charlton et al [2010] found no significant correlation between declines in brain volume and working memory in a two‐year longitudinal study of 84 healthy adults aged 50 to 90 years (see also Du et al, [2006]), which may reflect the shorter duration of follow‐up, age heterogeneity, and smaller sample.…”

Section: Introductionmentioning

confidence: 99%

Brain volumetric changes and cognitive ageing during the eighth decade of life

Ritchie

Dickie

Cox

et al. 2015

Human Brain Mapping

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Later‐life changes in brain tissue volumes—decreases in the volume of healthy grey and white matter and increases in the volume of white matter hyperintensities (WMH)—are strong candidates to explain some of the variation in ageing‐related cognitive decline. We assessed fluid intelligence, memory, processing speed, and brain volumes (from structural MRI) at mean age 73 years, and at mean age 76 in a narrow‐age sample of older individuals (n = 657 with brain volumetric data at the initial wave, n = 465 at follow‐up). We used latent variable modeling to extract error‐free cognitive levels and slopes. Initial levels of cognitive ability were predictive of subsequent brain tissue volume changes. Initial brain volumes were not predictive of subsequent cognitive changes. Brain volume changes, especially increases in WMH, were associated with declines in each of the cognitive abilities. All statistically significant results were modest in size (absolute r‐values ranged from 0.114 to 0.334). These results build a comprehensive picture of macrostructural brain volume changes and declines in important cognitive faculties during the eighth decade of life. Hum Brain Mapp 36:4910–4925, 2015. © 2015 The Authors. Human Brain Mapping Published by Wiley Periodicals, Inc

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Age effects on atrophy rates of entorhinal cortex and hippocampus

Cited by 188 publications

References 61 publications

Regional atrophy of transcallosal prefrontal connections in cognitively normal APOE ϵ4 carriers

Regional atrophy of transcallosal prefrontal connections in cognitively normal APOE ϵ4 carriers

Age effects on hippocampal structural changes in old men: The HAAS

Brain volumetric changes and cognitive ageing during the eighth decade of life

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