Study of autocorrelations and uncertainties applied to patients with Parkinson’s disease

Abstract The control of Levodopa (L-dopa) in Parkinson’s patients receiving chronic deep brain electrical stimulation (with an implant of an electrode into sub-cortical structures) will be studied here. Our main objective is to apply the Detrended Fluctuation Analysis (DFA) method and Shannon Entrop...

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Main Authors: Florêncio Mendes Oliveira Filho, Ed Frank dos Santos Silva, Sanval Ebert de Freitas Santos, Alex Álisson Bandeira Santos, Gilney Figueira Zebende
Format: Article
Language:English
Published: Nature Portfolio 2025-03-01
Series:Scientific Reports
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Online Access:https://doi.org/10.1038/s41598-025-94252-2
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author Florêncio Mendes Oliveira Filho
Ed Frank dos Santos Silva
Sanval Ebert de Freitas Santos
Alex Álisson Bandeira Santos
Gilney Figueira Zebende
author_facet Florêncio Mendes Oliveira Filho
Ed Frank dos Santos Silva
Sanval Ebert de Freitas Santos
Alex Álisson Bandeira Santos
Gilney Figueira Zebende
author_sort Florêncio Mendes Oliveira Filho
collection DOAJ
description Abstract The control of Levodopa (L-dopa) in Parkinson’s patients receiving chronic deep brain electrical stimulation (with an implant of an electrode into sub-cortical structures) will be studied here. Our main objective is to apply the Detrended Fluctuation Analysis (DFA) method and Shannon Entropy (H) in order to study the speed of tremor recorded in 16 patients with Parkinson’s disease. These Parkinson’s patients were divided into two groups (High Amplitude tremor and Low Amplitude tremor), and basically with two conditions of deep brain stimulation (on–off) and two conditions of L-dopa (on–off). These conditions (on–off) have a clear influence on the $$\alpha _{DFA}$$ exponent and the Shannon Entropy respectively. In this sense, the auto-correlation exponent gives us information whether or not there is persistence in the signal produced by the Parkinsonian rest tremor, mainly differentiating those in Low and High Amplitude, or even identifying behavior change with a typical time scale. However, the Shannon Entropy gives us information about the uncertainty in the position of Parkinsonian rest tremor. In this way, a high value of H informs us that we have a high uncertainty in the signal of this tremor. Therefore, by combining these two techniques we have a better view of the (signal/noise) effects of deep brain stimulation and L-dopa (medication) in all patients with Parkinson’s disease, and thus helping to make a better analysis of this health problem, and with the possibility of supplementation in the Unified Parkinson’s Disease Rating Scale and Tremor Rating Scale, identifying fluctuation patterns on different time scales, the nature of the tremor, and its evolution over time.
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spelling doaj-art-24a6fbfcb7c841e793a8532059f00e522025-08-20T02:10:16ZengNature PortfolioScientific Reports2045-23222025-03-0115111310.1038/s41598-025-94252-2Study of autocorrelations and uncertainties applied to patients with Parkinson’s diseaseFlorêncio Mendes Oliveira Filho0Ed Frank dos Santos Silva1Sanval Ebert de Freitas Santos2Alex Álisson Bandeira Santos3Gilney Figueira Zebende4Computer Engineering, SENAI CIMATEC UNIVERSITYComputer Engineering, SENAI CIMATEC UNIVERSITYComputer Engineering, SENAI CIMATEC UNIVERSITYComputer Engineering, SENAI CIMATEC UNIVERSITYState University of Feira de SantanaAbstract The control of Levodopa (L-dopa) in Parkinson’s patients receiving chronic deep brain electrical stimulation (with an implant of an electrode into sub-cortical structures) will be studied here. Our main objective is to apply the Detrended Fluctuation Analysis (DFA) method and Shannon Entropy (H) in order to study the speed of tremor recorded in 16 patients with Parkinson’s disease. These Parkinson’s patients were divided into two groups (High Amplitude tremor and Low Amplitude tremor), and basically with two conditions of deep brain stimulation (on–off) and two conditions of L-dopa (on–off). These conditions (on–off) have a clear influence on the $$\alpha _{DFA}$$ exponent and the Shannon Entropy respectively. In this sense, the auto-correlation exponent gives us information whether or not there is persistence in the signal produced by the Parkinsonian rest tremor, mainly differentiating those in Low and High Amplitude, or even identifying behavior change with a typical time scale. However, the Shannon Entropy gives us information about the uncertainty in the position of Parkinsonian rest tremor. In this way, a high value of H informs us that we have a high uncertainty in the signal of this tremor. Therefore, by combining these two techniques we have a better view of the (signal/noise) effects of deep brain stimulation and L-dopa (medication) in all patients with Parkinson’s disease, and thus helping to make a better analysis of this health problem, and with the possibility of supplementation in the Unified Parkinson’s Disease Rating Scale and Tremor Rating Scale, identifying fluctuation patterns on different time scales, the nature of the tremor, and its evolution over time.https://doi.org/10.1038/s41598-025-94252-2L-dopaDetrended fluctuation analysisShannon entropy and uncertainty
spellingShingle Florêncio Mendes Oliveira Filho
Ed Frank dos Santos Silva
Sanval Ebert de Freitas Santos
Alex Álisson Bandeira Santos
Gilney Figueira Zebende
Study of autocorrelations and uncertainties applied to patients with Parkinson’s disease
Scientific Reports
L-dopa
Detrended fluctuation analysis
Shannon entropy and uncertainty
title Study of autocorrelations and uncertainties applied to patients with Parkinson’s disease
title_full Study of autocorrelations and uncertainties applied to patients with Parkinson’s disease
title_fullStr Study of autocorrelations and uncertainties applied to patients with Parkinson’s disease
title_full_unstemmed Study of autocorrelations and uncertainties applied to patients with Parkinson’s disease
title_short Study of autocorrelations and uncertainties applied to patients with Parkinson’s disease
title_sort study of autocorrelations and uncertainties applied to patients with parkinson s disease
topic L-dopa
Detrended fluctuation analysis
Shannon entropy and uncertainty
url https://doi.org/10.1038/s41598-025-94252-2
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