Patterns of brain atrophy associated with episodic memory and semantic fluency decline in aging

Pelletier, Amandine; Bernard, Charlotte; Dilharreguy, Bixente; Helmer, Catherine; Goff, Mélanie Le; Chanraud, Sandra; Dartigues, Jean-François; Allard, Michèle; Amieva, Hélène; Catheline, Gwénaëlle

doi:10.18632/aging.101186

Cited by 18 publications

(14 citation statements)

References 77 publications

(63 reference statements)

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“…Geriatrics and Gerontology at Ministry of Health, Cairo, Egypt. 2 Geriatric and Gerontology Department, Faculty of Medicine, Ain-Shams University, Cairo, Egypt. 3 Geriatric Psychologist Fellow, Ain-Shams University, Cairo, Egypt.…”

Section: Fundingmentioning

confidence: 99%

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A model of cognitive evaluation battery for diagnosis of mild cognitive impairment and dementia in educated and illiterate Egyptian elderly people

ElKholy¹,

Tawfik

Ebeid

et al. 2020

Egypt J Neurol Psychiatry Neurosurg

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Background The high illiteracy rates in the North African and Middle Eastern region make direct cognitive testing challenging. Validated instruments for dementia in Arabic language are lacking specially those targeting low-educated subjects. Objectives The aim of this study was to develop a cognitive evaluation battery suitable for both educated and illiterate Egyptian elderly people. Design A cross-sectional study was conducted. Setting: Ain-Shams University geriatric and ophthalmology wards, geriatrics outpatient clinic, and geriatric clubs. Participants: 159 male and female participants aged ≥ 60 years were recruited. Measurements Cut-off points were determined according to DSM-IV criteria for dementia and MMSE scores which divided the participants into 3 quadrants as normal, having mild cognitive impairment and having dementia then application of the new battery test was done. Results Test re-test reliability ranged from adequate to high in most of its tests with r ≥ 0.7. There was a statistical significance between all battery tests when divided into normal and dementia according to DSM IV criteria except in digit span forward length, digit span backward length, stimulus cue of confrontation naming and judgment. Means and standard deviations were calculated for each battery subset, for the whole sample, for low-educated group and group with > 9 years education according to three quadrants of MMSE. Conclusion A new valid and reliable neurocognitive evaluation battery that can differentiate between normal, mild cognitive impairment, and dementia in both educated and illiterate subjects under the name of Ain Shams Cognitive Assessment (ASCA) scale is now available.

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Section: Fundingmentioning

confidence: 99%

“…Cognitive decline is a normal process of aging [2]. Some cognitive abilities, such as vocabulary, may improve with age, while others such as memory and speed processing, decline gradually over time [3].…”

Section: Introductionmentioning

confidence: 99%

A model of cognitive evaluation battery for diagnosis of mild cognitive impairment and dementia in educated and illiterate Egyptian elderly people

ElKholy¹,

Tawfik

Ebeid

et al. 2020

Egypt J Neurol Psychiatry Neurosurg

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“…The present study extended the abovementioned results of non-linear relationship to a simple yet widely used neuropsychological test for the detection of dementia: SF (more specifically, animal fluency) test. SF performance has been linked to medial temporal lobe (MTL) and anterior temporal cortex (Pelletier et al, 2017), and there is a large body of evidence supporting a diagnostic role of SF test in dementia (Sebaldt et al, 2009;Sutin et al, 2019), including AD (Henry et al, 2004). However, few studies have identified a significant relationship between cholesterol level and SF performance.…”

Section: Discussionmentioning

confidence: 99%

Low Cholesterol Level Linked to Reduced Semantic Fluency Performance and Reduced Gray Matter Volume in the Medial Temporal Lobe

Yang

Stanford

Jiang

2020

Front. Aging Neurosci.

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Hyperlipidemia has been proposed as a risk factor of dementia and cognitive decline. However, the findings of the relationship between cholesterol level and cognitive/brain function have been inconsistent. Here, using a well-controlled sample from the Parkinson's Progression Markers Initiative (PPMI), we investigated the probable nonlinear relationship between plasma total cholesterol (TC) level, gray matter volume (GMv), and cognitive performance in 117 non-demented subjects (mean age, 61.5 ± 8.9 years), including 67 Parkinson's disease (PD) patients and 50 demographically matched controls. A quadratic relationship between semantic fluency (SF) performance and TC levels was identified. Within the subjects with a desirable TC level (TC < 200 mg/dl), low TC (lTC) levels were associated with reduced SF performance, as well as reduced GMv in three medial temporal regions [including bilateral anterior hippocampus (HIP)]. In contrast, no significant relationship between TC and cognition performance/GMv was found in individuals with a high cholesterol level (i.e., TC ≥ 200 mg/dl). Further region of interest (ROI)-based analysis showed that individuals with TC levels ranging from 100 to 160 mg/dl had the lowest GMv in the medial temporal regions. These findings suggest that low-normal TC level may be associated with reduced cognitive function and brain atrophy in regions implicated in neurodegenerative diseases, adding to a growing body of literature supporting a probable non-linear relationship between cholesterol level and brain health. However, this finding needs to be verified with other large public cohort data that do not include PD patients.

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“…We reported here that verbal free recall scores are also predicted by these frontal WM changes. Considering GM, the FCSRT is usually associated with medial temporal regions (Sarazin et al, 2010 ; Pelletier et al, 2017 ). However, the ability to retrieve by your own the encoded items would indirectly involve attentional functions depending on the dorsolateral prefrontal cortex (Epelbaum et al, 2018 ).…”

Section: Discussionmentioning

confidence: 99%

“…Here again, large effects of age on water-diffusion parameters have been described in several cross-sectional design studies (Salat et al, 2005 ; Charlton et al, 2006 ; Kennedy and Raz, 2009a , b ) but also in some longitudinal design studies (Barrick et al, 2010 ; Sexton et al, 2014 ; Bender et al, 2016a , b ). It appears that microstructural changes of WM, detected using dMRI, could occur before the appearance of WMH indicating a physiopathological continuum between these two processes (Maillard et al, 2013 ; Pelletier et al, 2017 ).…”

Section: Introductionmentioning

confidence: 99%

Changes Over Time of Diffusion MRI in the White Matter of Aging Brain, a Good Predictor of Verbal Recall

Nicolas

Hiba

Dilharreguy

et al. 2020

Front. Aging Neurosci.

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Objective: Extensive research using water-diffusion MRI reported age-related modifications of cerebral White Matter (WM). Moreover, water-diffusion parameter modifications have been frequently associated with cognitive performances in the elderly sample, reinforcing the idea of aging inducing microstructural disconnection of the brain which in turn impacts cognition. However, only few studies really assessed overtime modifications of these parameters and their relationship with episodic memory outcome of elderly. Materials and Methods: One-hundred and thirty elderly subjects without dementia (74.1 ± 4.1 years; 47% female) were included in this study. Diffusion tensor imaging (DTI) was performed at two-time points (3.49 ± 0.68 years apart), allowing the assessment of changes in water-diffusion parameters over time using a specific longitudinal pipeline. White matter hyperintensity (WMH) burden and gray matter (GM) atrophy were also measured on FLAIR and T1-weighted sequences collected during these two MRI sessions. Free and cued verbal recall scores assessed at the last follow-up of the cohort were used as episodic memory outcome. Changes in water-diffusion parameters over time were included in serial linear regression models to predict retrieval or storage ability of elderly. Results: GM atrophy and an increase in mean diffusivity (MD) and WMH load between the two-time points were observed. The increase in MD was significantly correlated with WMH load and the different memory scores. In models accounting for the baseline cognitive score, GM atrophy, or WMH load, MD changes still significantly predict free verbal recall, and not total verbal recall, suggesting the specific association with the retrieval deficit in healthy aging. Conclusion: In elderly, microstructural WM changes are good predictors of lower free verbal recall performances. Moreover, this contribution is not only driven by WMH load

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Patterns of brain atrophy associated with episodic memory and semantic fluency decline in aging

Cited by 18 publications

References 77 publications

A model of cognitive evaluation battery for diagnosis of mild cognitive impairment and dementia in educated and illiterate Egyptian elderly people

A model of cognitive evaluation battery for diagnosis of mild cognitive impairment and dementia in educated and illiterate Egyptian elderly people

Low Cholesterol Level Linked to Reduced Semantic Fluency Performance and Reduced Gray Matter Volume in the Medial Temporal Lobe

Changes Over Time of Diffusion MRI in the White Matter of Aging Brain, a Good Predictor of Verbal Recall

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