Neuroimaging signatures of frailty: A population‐based study in community‐dwelling older adults (the <scp>A</scp>tahualpa <scp>P</scp>roject)

Brutto, Oscar H. Del; Mera, Robertino M.; Cagino, Kristen; Fanning, Kathryn; Milla-Martinez, Marleni F.; Nieves, Johnathan L.; Zambrano, Mauricio; Sedler, Mark J.

doi:10.1111/ggi.12708

Cited by 51 publications

(54 citation statements)

References 25 publications

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“…Quantification of global and regional brain atrophy as an MRI marker for neurodegenerative diseases is widely performed in research on cognitive impairment and dementia ( Mak et al., 2015 , Verlinden et al., 2017 ). However, only few studies have performed these analyses in relation to frailty ( Chen et al., 2015 , Del Brutto et al., 2017 ). These studies included a low number of frail individuals and thus combined prefrail and frail individuals in 1 group, possibly reducing the contrast between groups ( Chen et al., 2015 ).…”

Section: Discussionmentioning

confidence: 99%

“…WMHs are related to cognitive decline and physical deterioration such as gait problems ( De Laat et al., 2011 , Inzitari et al., 2009 , Van Dijk et al., 2008 ). To date, only few studies have investigated the association between WMH and physical frailty ( Avila-funes et al., 2017 , Chen et al., 2015 , Chung et al., 2016 , Del Brutto et al., 2017 , Siejka et al., 2017 ), of which only 2 studies have assessed WMH quantitatively ( Avila-funes et al., 2017 , Chen et al., 2015 ). The association between physical frailty and WMH is unclear, as 3 previous studies found no association between WMH and frailty ( Chen et al., 2015 , Chung et al., 2016 , Del Brutto et al., 2017 ), and only one study did find an association ( Avila-funes et al., 2017 , Siejka et al., 2017 ).…”

Section: Discussionmentioning

confidence: 99%

“…However, only few small studies have assessed the underlying structural brain magnetic resonance imaging (MRI) correlates of physical frailty. These studies have shown that signs of neurodegenerative or neurovascular changes, that is, lower global or regional brain volume, a higher number of cerebral microbleeds, and a higher burden of white matter hyperintensities of presumed vascular origin (WMH), were related to frailty in older individuals ( Avila-funes et al., 2012 , Avila-funes et al., 2017 , Chen et al., 2015 , Chung et al., 2016 , Del Brutto et al., 2017 , Jung et al., 2014 , Newman et al., 2001 , Siejka et al., 2017 ). These studies were however limited to community-dwelling individuals and included only a low number of frail individuals.…”

Section: Introductionmentioning

confidence: 99%

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The association between brain volume, cortical brain infarcts, and physical frailty

Kant

Bresser

Montfort

et al. 2018

Neurobiology of Aging

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Physical frailty is an age-associated syndrome of decreased reserve leading to vulnerability to physiological stressors and associated with negative outcomes. The underlying structural brain abnormalities of physical frailty are unclear. We investigated the association between brain volume, cortical brain infarcts, and physical frailty. In this multicenter study, 214 nondemented participants were classified as frail (n = 32), prefrail (n = 107), or nonfrail (n = 75) based on the Fried frailty phenotype. The associations between frailty and brain volumes and cortical brain infarcts were investigated by linear or logistic regression analyses. Participants in the frail group showed a lower total brain volume (−19.67 mL [95% confidence interval −37.84 to −1.50]) and lower gray matter volume (−12.19 mL [95% confidence interval −23.84 to −0.54]) compared to nonfrail participants. Frailty was associated with cortical brain infarcts [frail 16% [n = 5], prefrail 11% [n = 12], and nonfrail 3% [n = 2]). Reduced total brain volume and gray matter volume and increased cortical brain infarcts seem therefore to be part of the structural substrate of the physical frailty phenotype.

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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The association between brain volume, cortical brain infarcts, and physical frailty

Kant

Bresser

Montfort

et al. 2018

Neurobiology of Aging

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“…The mechanisms underlying the development of this condition are complex, but seem to include a decrease in brain health . To date, many studies have reported cross‐sectional and prospective associations between brain health and frailty. Markers of cerebral damage, which are used to measure brain health and that are precursors of future dementia, were found to be associated with frailty: brain amyloid load and white matter lesions (WMLs) .…”

Section: Introductionmentioning

confidence: 99%

Prospective Associations Between Diffusion Tensor Imaging Parameters and Frailty in Older Adults

Maltais

Barreto

Perus

et al. 2020

J American Geriatrics Society

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for the Multidomain Alzheimer Preventive Trial/Data Sharing Alzheimer (MAPT/DSA) Study Group BACKGROUND: Cross-sectional associations have been found between frail individuals and worse white matter (WM) integrity. However, the prospective association between WM integrity and frailty is still unclear. Our objectives were to measure associations between WM integrity using diffusion tensor imaging (DTI) and the 5-year worsening of frailty in community-dwelling older adults. DESIGN: Secondary analysis of the randomized controlled Multidomain Alzheimer Preventive Trial (MAPT). SETTING: Thirteen memory centers in France and Monaco between 2008 and 2011. PARTICIPANTS: Participants (mean age = 74.7 AE 3.9 years) with no dementia at baseline who had functional magnetic resonance imaging performed as part of the MAPT study (n = 227). MEASUREMENTS: Fractional anisotropy and mean diffusivity (MD), axial diffusivity (AxD), and radial diffusivity (RD) were acquired for 10 different brain regions. Frailty was assessed by the Fried frailty phenotype (score from 0 to 5, higher is worse) at up to seven time points for 5 years. Mixed effect ordinal logistic regression model was used to assess the prospective association between DTI parameters (independent variables) and frailty (dependent variable). All the analyses were adjusted for age, sex, baseline total intracranial volume, and the presence of one of the following cardiovascular risk factors (hypertension, diabetes, and/or hypercholesterolemia). RESULTS: A statistically significant association was found between the RD, AxD, and MD for different brain regions (anterior limb of internal capsule, external capsule, posterior corona radiata, posterior thalamic radiation, superior corona radiata, superior frontal occipital fasciculus, and superior longitudinal fasciculus) and worsening of frailty over 5 years after adjusting for multiple comparisons. CONCLUSIONS: This is the first study to show that WM integrity is associated with frailty in older adults. The mechanisms related to these results require further investigation.

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“…22 Indeed, poststroke delirium is thought to result from patient's cognitive frailty related to prestroke cognitive impairment which is exacerbated by the physical disability and biochemical changes related to the acute brain insult. Del Brutto et al 23 recently suggested that brain cortical volume could be an magnetic resonance imaging marker of this cognitive frailty. In line with this hypothesis, Oldenbeuving et al 24 reported that global cortical atrophy was an independent predictor of acute delirium.…”

Section: Discussionmentioning

confidence: 99%

Admission Brain Cortical Volume

Sagnier

Catheline

Dilharreguy

et al. 2017

Stroke

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Background and Purpose-Several markers of poststroke cognitive impairment have been reported. The role of brain cortical volume remains uncertain. The aim of this study was to evaluate the influence of brain cortical volume on cognitive outcomes using a voxel-based morphometry approach in subjects without prestroke dementia. Methods-Ischemic stroke patients were prospectively recruited 24 to 72 hours post stroke (M0). Cognition was evaluated at M0, 3 months, and 1 year (M12) using the Montreal Cognitive Assessment, the Isaacs set test, and the Zazzo's cancellation task. A 3-T brain magnetic resonance imaging was performed at M0. Grey matter (GM) was segmented using Statistical Parametric Mapping 12 software. Association between global GM volume and cognitive score slopes between M0 and M12 was evaluated using a linear mixed model. Correlations between focal GM volumes and changes in cognitive performance were evaluated using Statistical Parametric Mapping 12. Results-Two-hundred forty-eight patients were included (mean age 65±SD 14 years old, 66% men). Global

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Neuroimaging signatures of frailty: A population‐based study in community‐dwelling older adults (the Atahualpa Project)

Abstract: Neuroimaging signatures of frailty are mainly related to age. This reinforces the importance of early frailty detection to reduce its catastrophic consequences. Geriatr Gerontol Int 2017; 17: 270-276.

Cited by 51 publications

References 25 publications

The association between brain volume, cortical brain infarcts, and physical frailty

The association between brain volume, cortical brain infarcts, and physical frailty

Prospective Associations Between Diffusion Tensor Imaging Parameters and Frailty in Older Adults

Admission Brain Cortical Volume

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