Abstract

Frailty is a dynamic clinical condition characterized by the reduction of interconnections among different psychobiological domains, which leads to a homeostatic vulnerability. The association between physical frailty and cognitive dysfunctions is a possible predictor of poor prognosis in patients with neurodegenerative disorders. However, this construct has not been fully analyzed by a multidimensional neuropsychogeriatric assessment matched with multimodal neuroimaging methods in patients with behavioral variant frontotemporal dementia (bvFTD). We have investigated cognitive dysfunctions and frailty status, assessed by both a neuropsychological evaluation and the Multidimensional Prognostic Index (MPI), in a sample of 18 bvFTD patients and compared to matched healthy controls. Gray matter (GM) volume (as assessed by voxel-based morphometry) and metabolism (on 18fluorodeoxyglucose positron emission tomography) were first separately compared between groups, then voxelwise compared and correlated to each other within patients. Linear regression of the MPI was performed on those voxels presenting a significant correlation between altered GM volume and metabolism. The neuropsychological assessment reflected the diagnoses and the functional–anatomical alterations documented by neuroimaging analyses. In particular, the majority of patients presented significant executive dysfunction and mood changes in terms of apathy, depression, and anxiety. In the overall MPI score, the patients fell in the lower range (indicating an early frailty status). On imaging, they exhibited a bilateral decrease of GM density and hypometabolism involving the frontal pole, the anterior opercular region, and the anterior cingulate cortex. Greater atrophy than hypometabolism was observed in the bilateral orbitofrontal cortex, the triangular part of the inferior frontal gyrus, and the ventral striatum, whereas the contrary was detected in the bilateral dorsal anterior cingulate cortex and pre-supplementary motor area. MPI scores significantly correlated only with the co-occurrence of a decrease of GM density and hypometabolism in the right anterior insular cortex, but not with the separate pathological phenomena. Our results show a correlation between a specific pattern of co-occurring GM atrophy and hypometabolism with early frailty in bvFTD patients. These aspects, combined with executive dysfunction and mood changes, may lead to an increased risk of poor prognosis, highlighting a potentially critical and precocious role of the insula in the pathogenesis of frailty.

Highlights

  • Frailty is an age-related dynamic status characterized by a reduced resistance to stressors due to the cumulative decline of multiple neuropsychophysiological systems (Bartoli et al, 2020)

  • To the best of our knowledge, this is the first neuroimaging study investigating neural correlates of early frailty in behavioral variant frontotemporal dementia (bvFTD), in their initial stage of illness

  • We examined a homogeneous group of bvFTD patients with overall Multidimensional Prognostic Index (MPI) scores that fell in the lowest range and structuro-metabolic modifications by multimodal imaging

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Summary

Introduction

Frailty is an age-related dynamic status characterized by a reduced resistance to stressors due to the cumulative decline of multiple neuropsychophysiological systems (Bartoli et al, 2020). The concept of frailty is considered as a potential antecedent of age-related diseases (Alonso et al, 2014). This construct has triggered growing attention in many medical areas (Hoogendijk et al, 2019) as it likely contributes to the relevant variability of health outcomes. The “phenotypic” (Fried et al, 2001) and “deficit accumulation” models (Rockwood et al, 2005; Rockwood and Mitnitski, 2007) characterize the biomedical approach It highlights how a reduction in the ability to preserve physiological homeostasis and to respond to environmental changes appropriately implies a loss of functional autonomy (Xue, 2011). The deficit accumulation model (Rockwood et al, 2005; Rockwood and Mitnitski, 2007) provides a frailty index (FI), a continuous variable that is obtained by quantifying the set of age-related deficits that configure a vulnerability increased by age-related decline in various body organs and physiological systems (Rockwood and Howlett, 2019)

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