Re: Prospective Associations between Diffusion Tensor Imaging Parameters and Frailty in Older Adults

Maltais, Mathieu; Barreto, Philipe de Souto; Perus, Lisa; Mangin, Jean‐François; Grigis, Antoine; Chupin, Marie; Bouyahia, Ali; Gabelle, Audrey; Delrieux, Julien; Rolland, Yves; Vellas, Bruno

doi:10.1111/jgs.16456

Cited by 5 publications

(6 citation statements)

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“…We further identified the body of corpus callosum being strongly associated with frailty status. We also observed a trend in superior frontooccipital fasciculus, which is in line with previous findings (19). Notably, two previous DTI studies using tract-based spatial statistics report other DTI parameters, such as axial diffusivity (AD) and mean diffusivity (MD) of the anterior limb of internal capsule and superior corona radiata, differ by frailty status.…”

Section: Discussionsupporting

confidence: 92%

“…Diffusion tensor imaging (DTI)-based brain microstructural measures may be sensitive to subtle age-related and vascular disease-related changes (16,17) and can be used to monitor vascular disease progression (17). To date, only two DTI studies examined white matter microstructural characteristics with frailty (18,19). These studies had relatively small samples and did not examine the microstructure of gray matter.…”

Section: Introductionmentioning

confidence: 99%

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Microstructural Neuroimaging of Frailty in Cognitively Normal Older Adults

et al. 2020

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Physical frailty is an age-related clinical syndrome that is associated with multiple adverse health outcomes, including cognitive impairment and dementia. Recent studies have shown that frailty is associated with specific volumetric neuroimaging characteristics. Whether brain microstructural characteristics, particularly gray matter, associated with frailty exist and what their spatial distribution is have not been explored. We identified 670 participants of the Baltimore Longitudinal Study of Aging who were aged 60 and older and cognitively normal and who had concurrent data on frailty and regional microstructural neuroimaging markers by diffusion tensor imaging (DTI), including mean diffusivity (MD) of gray matter and fractional anisotropy (FA) of white matter. We identified neuroimaging markers that were associated with frailty status (non-frail, pre-frail, frail) and further examined differences between three groups using multivariate linear regression (non-frail = reference). Models were adjusted for age, sex, race, years of education, body mass index, scanner type, and Apolipoprotein E e4 carrier status. Compared to the non-frail participants, those who were frail had higher MD in the medial frontal cortex, several subcortical regions (putamen, caudate, thalamus), anterior cingulate cortex, and a trend of lower FA in the body of the corpus callosum. Those who were pre-frail also had higher MD in the putamen and a trend of lower FA in the body of the corpus callosum. Our study demonstrates for the first time that the microstructure of both gray and white matter differs by frailty status in cognitively normal older adults. Brain areas were not widespread but mostly localized in frontal and subcortical motor areas and the body of the corpus callosum. Whether changes in brain microstructure precede future frailty development warrants further investigation.

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Section: Discussionsupporting

confidence: 92%

Section: Introductionmentioning

confidence: 99%

Microstructural Neuroimaging of Frailty in Cognitively Normal Older Adults

et al. 2020

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“…Artifact-free epochs were band-pass filtered in the following bands of interest: alpha mu [8][9][10][11][12][13] Hz, low beta [12][13][14][15][16][17][18][19][20] Hz, and upper beta [20][21][22][23][24][25][26][27][28][29][30] Hz. Preceding the filtering, the epochs were padded with 2 s (2,000 samples) of real signal on both ends to avoid edge effects within the data.…”

Section: Source Reconstructionmentioning

confidence: 99%

“…The aim of the present work was to investigate the existence of FC abnormalities within brain networks and structures involved in different aspects of motor function that might be affected in frail individuals. We used magnetoencephalography (MEG) to examine FC in the beta [12][13][14][15][16][17][18][19][20][21][22][23][24][25][26][27][28][29][30] Hz and alpha mu [8][9][10][11][12][13] Hz frequency bands, given the explicit association between those ranges of oscillation and sensorimotor function (29,30). We hypothesized (1) that FC should be altered in frail individuals when compared to their robust counterparts in the abovementioned RSNs and ROIs, and (2) that MEG is a useful tool to assess brain alterations in cohorts of cognitively healthy frail individuals.…”

Section: Introductionmentioning

confidence: 99%

Functional Connectivity Disruption in Frail Older Adults Without Global Cognitive Deficits

et al. 2020

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Frailty is a common representation of cumulative age-related decline that may precede disability in older adults. In our study, we used magnetoencephalography (MEG) to explore the existence of abnormalities in the synchronization patterns of frail individuals without global cognitive impairment. Fifty-four older (≥70 years) and cognitively healthy (Mini-Mental State Examination ≥24) adults, 34 robust (not a single positive Fried criterion) and 20 frail (≥3 positive Fried criteria) underwent a resting-state MEG recording and a T1-weighted magnetic resonance imaging scan. Seed-based functional connectivity (FC) analyses were used to explore group differences in the synchronization of fronto-parietal areas relevant to motor function. Additionally, we performed group comparisons of intra-network FC for key resting-state networks such as the sensorimotor, fronto-parietal, default mode, and attentional (dorsal and ventral) networks. Frail participants exhibited reduced FC between posterior regions of the parietal cortex (bilateral supramarginal gyrus, right superior parietal lobe, and right angular gyrus) and widespread clusters spanning mainly fronto-parietal regions. Frail participants also demonstrated reduced intra-network FC within the fronto-parietal, ventral attentional, and posterior default mode networks. All the FC results concerned the upper beta band, a frequency range classically linked to motor function. Overall, our findings reveal the existence of abnormalities in the synchronization patterns of frail individuals within central structures important for accurate motor control. This study suggests that alterations in brain connectivity might contribute to some motor impairments associated with frailty.

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“…However, in older adults, the evidence as to how frailty affects brain neuroimaging biomarkers is scarce and studies to date offer potentially contradictory results. On the one hand, with the frailty phenotype (FP) some authors found affectation of the brain microstructure (both gray and white matter; Maltais et al, 2020;Tian et al, 2020), with one study only finding association between the slowness component and cortex volume (Nishita et al, 2019). On the other hand, other authors using a 54-item FI that included the execution of instrumental activities (e.g., dressing, using the remote), chronic diseases (e.g., cardiovascular, malignancy) and sensory deficits (e.g., vision and hearing) did not find a relationship with white or gray matter volumes (Jordan et al, 2021).…”

Section: Introductionmentioning

confidence: 99%

Structural brain signatures of frailty, defined as accumulation of self-reported health deficits in older adults

Gutiérrez-Zúñiga

Davis²,

Ruddy³

et al. 2023

Front. Aging Neurosci.

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BackgroundFrailty in older adults has been associated with reduced brain health. However, structural brain signatures of frailty remain understudied. Our aims were: (1) Explore associations between a frailty index (FI) and brain structure on magnetic resonance imaging (MRI). (2) Identify the most important FI features driving the associations.MethodsWe designed a cross-sectional observational study from a population-based study (The Irish Longitudinal Study on Aging: TILDA). Participants aged ≥50 years who underwent the wave 3 MRI sub-study were included. We measured cortex, basal ganglia, and each of the Desikan-Killiany regional volumes. Age-and sex-adjusted correlations were performed with a 32-item self-reported FI that included conditions commonly tested for frailty in research and clinical settings. A graph theory analysis of the network composed by each FI item and cortex volume was performed. White matter fiber integrity was quantified using diffusion tensor imaging (DTI).ResultsIn 523 participants (mean age 69, 49% men), lower cortex and thalamic volumes were independently associated with higher FI. Sensory and functional difficulties, diabetes, polypharmacy, knee pain, and self-reported health were the main FI associations with cortex volume. In the network analysis, cortex volume had a modest influence within the frailty network. Regionally, higher FI was significantly associated with lower volumes in both orbitofrontal and temporal cortices. DTI analyses revealed inverse associations between the FI and the integrity of some association bundles.ConclusionThe FI used had a recognizable but subtle structural brain signature in this sample. Only some FI deficits were directly associated with cortex volume, suggesting scope for developing FIs that include metrics more specifically related with brain health in future aging neuroscience studies.

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Re: Prospective Associations between Diffusion Tensor Imaging Parameters and Frailty in Older Adults

Abstract: See related article by https://doi.org/10.1111/jgs.16343

Cited by 5 publications

References 1 publication

Microstructural Neuroimaging of Frailty in Cognitively Normal Older Adults

Microstructural Neuroimaging of Frailty in Cognitively Normal Older Adults

Functional Connectivity Disruption in Frail Older Adults Without Global Cognitive Deficits

Structural brain signatures of frailty, defined as accumulation of self-reported health deficits in older adults

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