paola nicolini

Dr. paola nicolini

orcid

Research Focus & Metrics

Academic Career Length

18Years (2009-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 January 2010 in Health and Quality of Life Outcomes
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Journal Article
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CBClaudio Bilotta
Claudio Bilotta
ABAnn Bowling
Ann Bowling
ACAlessandra Casè
Alessandra Casè
PNpaola nicolini
paola nicolini
SMSabrina Mauri
Sabrina Mauri
CVCarlo Vergani
Carlo Vergani
There is a lack of knowledge concerning the relationship between two closely-linked multidimensional variables: frailty and quality of life (QOL). The aim of this study was to investigate dimensions and correlates of QOL associated with frailty status among community-dwelling older outpatients.

1 January 2011 in Health and Quality of Life Outcomes
Verified
Journal Article
Open access
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CBClaudio Bilotta
Claudio Bilotta
ABAnn Bowling
Ann Bowling
PNpaola nicolini
paola nicolini
ACAlessandra Casè
Alessandra Casè
GPGloria Pina
Gloria Pina
CVCarlo Vergani
Carlo Vergani
There is limited knowledge on the ability of a poor quality of life (QOL) and health-related QOL (HRQOL) to predict mortality and other adverse health events, independently of the frailty syndrome and other confounders, in older people living in the community and not selected on the basis of specific chronic conditions. Aim of this study was to evaluate the ability of the overall QOL and of the HRQOL to predict several adverse health outcomes at a one-year follow-up in an older outpatient population living in the community.

21 February 2012 in Pacing and Clinical Electrophysiology
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Journal Article
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PNpaola nicolini
paola nicolini
MCMichele Ciulla
Michele Ciulla
Carlo de AsmundisCarlo de Asmundis
Carlo de Asmundis
FMFabio Magrini
Fabio Magrini
PBPedro Brugada
Pedro Brugada

4 January 2024 in Journal of Clinical Medicine
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Journal Article
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PNpaola nicolini
paola nicolini
Gabriella MalfattoGabriella Malfatto
Gabriella Malfatto
TLTiziano Lucchi
Tiziano Lucchi
Background: Heart rate variability (HRV) is a reliable and convenient method to assess autonomic function. Cross-sectional studies have established a link between HRV and cognition. Longitudinal studies are an emerging area of research with important clinical implications in terms of the predictive value of HRV for future cognition and in terms of the potential causal relationship between HRV and cognition. However, they have not yet been the objective of a systematic review. Therefore, the aim of this systematic review was to investigate the association between HRV and cognition in longitudinal studies. Methods: The review was conducted according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. The Embase, PsycINFO and PubMed databases were searched from the earliest available date to 26 June 2023. Studies were included if they involved adult human subjects and evaluated the longitudinal association between HRV and cognition. The risk of bias was assessed with the Newcastle–Ottawa Scale for Cohort Studies. The results were presented narratively. Results: Of 14,359 records screened, 12 studies were included in this systematic review, with a total of 24,390 participants. Two thirds of the studies were published from 2020 onwards. All studies found a longitudinal relationship between HRV and cognition. There was a consistent association between higher parasympathetic nervous system (PNS) activity and better cognition, and some association between higher sympathetic nervous system activity and worse cognition. Also, higher PNS activity persistently predicted better executive functioning, while data on episodic memory and language were more scant and/or controversial. Conclusions: Our results support the role of HRV as a biomarker of future cognition and, potentially, as a therapeutic target to improve cognition. They will need confirmation by further, more comprehensive studies also including unequivocal non-HRV sympathetic measures and meta-analyses.

15 July 2020 in Scientific Reports
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Journal Article
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PNpaola nicolini
paola nicolini
DMDaniela Mari
Daniela Mari
CACarlo Abbate
Carlo Abbate
SISilvia Inglese
Silvia Inglese
LBLaura Bertagnoli
Laura Bertagnoli
FLFederico Lombardi
Federico Lombardi
Mild cognitive impairment (MCI) is a heterogeneous syndrome with two main clinical subtypes, amnestic (aMCI) and non-amnestic (naMCI). The analysis of heart rate variability (HRV) is a tool to assess autonomic function. Cognitive and autonomic processes are linked via the central autonomic network. Autonomic dysfunction entails several adverse outcomes. However, very few studies have investigated autonomic function in MCI and none have considered MCI subtypes or the relationship of HRV indices with different cognitive domains and structural brain damage. We assessed autonomic function during an active orthostatic challenge in 253 oupatients aged ≥ 65, [n = 82 aMCI,n = 93 naMCI,n = 78 cognitively normal (CN), neuropsychologically tested] with power spectral analysis of HRV. We used visual rating scales to grade cerebrovascular burden and hippocampal/insular atrophy (HA/IA) on neuroimaging. Only aMCI showed a blunted response to orthostasis. Postural changes in normalised low frequency (LF) power and in the LF to high frequency ratio correlated with a memory test (positively) and HA/IA (negatively) in aMCI, and with attention/executive function tests (negatively) and cerebrovascular burden (positively) in naMCI. These results substantiate the view that the ANS is differentially impaired in aMCI and naMCI, consistently with the neuroanatomic substrate of Alzheimer's and small-vessel subcortical ischaemic disease.

15 September 2022 in Frontiers in Aging Neuroscience
Verified
Journal Article
Open access
PNpaola nicolini
paola nicolini
TLTiziano Lucchi
Tiziano Lucchi
CACarlo Abbate
Carlo Abbate
SISilvia Inglese
Silvia Inglese
ETEmanuele Tomasini
Emanuele Tomasini
MVMarco Vicenzi
Marco Vicenzi
Background: Despite the emerging clinical relevance of heart rate variability (HRV) as a potential biomarker of cognitive decline and as a candidate target for intervention, there is a dearth of research on the prospective relationship between HRV and cognitive change. In particular, no study has addressed this issue in subjects with a diagnosis of cognitive status including cognitive impairment.Objective: To investigate HRV as a predictor of cognitive decline in subjects with normal cognition (NC) or Mild Cognitive Impairment (MCI). Specifically, we tested the literature-based hypothesis that the HRV response to different physical challenges would predict decline in different cognitive domains.Methods: This longitudinal study represents the approximately 3-year follow-up of a previous cross-sectional study enrolling 80 older outpatients (aged ≥ 65). At baseline, power spectral analysis of HRV was performed on five-minute electrocardiographic recordings at rest and during a sympathetic (active standing) and a parasympathetic (paced breathing) challenge. We focused on normalized HRV measures [normalized low frequency power (LFn) and the low frequency to high frequency power ratio (LF/HF)] and on their dynamic response from rest to challenge (Δ HRV). Extensive neuropsychological testing was used to diagnose cognitive status at baseline and to evaluate cognitive change over the follow-up via annualized changes in cognitive Z-scores. The association between Δ HRV and cognitive change was explored by means of linear regression, unadjusted and adjusted for potential confounders.Results: In subjects diagnosed with MCI at baseline a greater response to a sympathetic challenge predicted a greater decline in episodic memory [adjusted model: Δ LFn, standardized regression coefficient (β) = −0.528, p = 0.019; Δ LF/HF, β = −0.643, p = 0.001] whereas a greater response to a parasympathetic challenge predicted a lesser decline in executive functioning (adjusted model: Δ LFn, β = −0.716, p < 0.001; Δ LF/HF, β = −0.935, p < 0.001).Conclusion: Our findings provide novel insight into the link between HRV and cognition in MCI. They contribute to a better understanding of the heart-brain connection, but will require replication in larger cohorts.