We are obviously sensitive to every kind of stressors. To measure effects is of paramount necessity. A first not specific but quite sensitive way to detect and quantify stress is heart rate variability: sympatho-vagal balance is known to be altered either in acute or even chronically according to the state and of the dynamics of each of us; specificity could be at least partially achieved by keeping fixed as much as possible every other stimuli [1]. Less immediate, and still originally a-specific, is the analysis of the central nervous system instead of the autonomous one: coherences among brain areas, investigated via EEG, MEG, fMRI, NIRS, do even account on our plasticity to the change [2]. Deconvolution of blood samples may help in noninvasively assessing un-accessible and nano-metric pituitary secretion in controlling hormone loops [3]. A real precision analysis is needed to achieve very specific results: epigenetics makes us enhancing gene mediated protein expression in such a way that salient involved genes are detectable in assays together with their networking behavior with proteins expressed to face stimuli [4]. Modeling biophysical and biochemical interactions at molecular, domain and even atomic scale could become the ultimate level in approaching the effect from macro to meso, coarse and micro scales [5,6].

How to Measure Our Sensitivity in Order to Better Understand What Happens and Decide What to Do

diego liberati
2018

Abstract

We are obviously sensitive to every kind of stressors. To measure effects is of paramount necessity. A first not specific but quite sensitive way to detect and quantify stress is heart rate variability: sympatho-vagal balance is known to be altered either in acute or even chronically according to the state and of the dynamics of each of us; specificity could be at least partially achieved by keeping fixed as much as possible every other stimuli [1]. Less immediate, and still originally a-specific, is the analysis of the central nervous system instead of the autonomous one: coherences among brain areas, investigated via EEG, MEG, fMRI, NIRS, do even account on our plasticity to the change [2]. Deconvolution of blood samples may help in noninvasively assessing un-accessible and nano-metric pituitary secretion in controlling hormone loops [3]. A real precision analysis is needed to achieve very specific results: epigenetics makes us enhancing gene mediated protein expression in such a way that salient involved genes are detectable in assays together with their networking behavior with proteins expressed to face stimuli [4]. Modeling biophysical and biochemical interactions at molecular, domain and even atomic scale could become the ultimate level in approaching the effect from macro to meso, coarse and micro scales [5,6].
2018
Istituto di Elettronica e di Ingegneria dell'Informazione e delle Telecomunicazioni - IEIIT
precision personalized medicine
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14243/348340
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