Alteration of Entropy in the Precuneus and Posterior Cingulate Cortex in Alzheimer’s Disease: A Resting-State Functional Magnetic Resonance Study

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dc.creatorPuche, Aura C.
dc.creatorOchoa-Gómez, John Fredy
dc.creatorAgudelo-Londoño, Yésika Alexandra
dc.creatorRodas-Marín, Jan Karlo
dc.creatorTobón-Quintero, Carlos Andrés
dc.date2021-12-16
dc.date.accessioned2025-10-01T23:52:45Z
dc.descriptionThe human brain has been described as a complex system. Its study using neurophysiological signals has revealed the presence of linear and non-linear interactions. In this context, entropy metrics have been used to discover brain behavior in the presence and absence of neurological alterations. Entropy mapping is of great interest for the study of progressive neurodegenerative diseases such as Alzheimer’s Disease (AD). The objective of this study was to characterize the dynamics of brain oscillations in AD using entropy and the Amplitude of Low-Frequency Fluctuations (ALFF) of BOLD signals from the default network and the executive control network in patients with AD and healthy individuals. For this purpose, the data was extracted from the Open Access Series of Imaging Studies (OASIS). The results revealed greater discriminatory power in Permutation Entropy (PE) than in ALFF and fractional ALFF metrics. An increase in PE was obtained in regions of the default network and the executive control network in patients. The posterior cingulate cortex and the precuneus exhibited a differential characteristic when PE was evaluated in both groups. There were no findings when the metrics were correlated with clinical scales. The results showed that PE can be used to characterize the brain function in patients with AD and reveals information about non-linear interactions complementary to the characteristics obtained by calculating the ALFF.en-US
dc.descriptionEl cerebro humano ha sido descrito como un sistema complejo. Su estudio por medio de señales neurofisiológicas ha desvelado la presencia de interacciones lineales y no lineales. En este contexto, se han utilizado métricas de entropía para descubrir el comportamiento cerebral en presencia y ausencia de alteraciones neurológicas. El mapeo de la entropía es de gran interés para el estudio de enfermedades neurodegenerativas progresivas como la enfermedad de Alzheimer. El objetivo de este estudio fue caracterizar la dinámica de las oscilaciones cerebrales en dicha enfermedad por medio de la entropía y la amplitud de las oscilaciones de baja frecuencia a partir de señales Bold de la red por defecto y la red de control ejecutivo en pacientes con Alzheimer e individuos sanos, utilizando una base de datos extraída de la serie de estudios de imágenes de acceso abierto. Los resultados revelaron mayor poder discriminatorio de la entropía por permutaciones en comparación a la amplitud de fluctuación de baja frecuencia y la amplitud fraccional de fluctuaciones de baja frecuencia. Se obtuvo un incremento de la entropía por permutaciones en regiones de la red por defecto y la red de control ejecutivo en pacientes. La corteza cingulada posterior y la precuña manifestaron característica diferencial al evaluar la entropía por permutaciones en ambos grupos. No hubo hallazgos al correlacionar las métricas con las escalas clínicas. Los resultados demostraron que la entropía por permutaciones permite caracterizar la función cerebral en pacientes con Alzheimer, además revela información sobre las interacciones no lineales complementaria a las características obtenidas por medio del cálculo de la amplitud de las oscilaciones de baja frecuencia.es-ES
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dc.identifierhttps://revistas.itm.edu.co/index.php/tecnologicas/article/view/2118
dc.identifier10.22430/22565337.2118
dc.identifier.urihttps://hdl.handle.net/20.500.12622/7802
dc.languagespa
dc.publisherInstituto Tecnológico Metropolitano (ITM)es-ES
dc.relationhttps://revistas.itm.edu.co/index.php/tecnologicas/article/view/2118/2207
dc.relationhttps://revistas.itm.edu.co/index.php/tecnologicas/article/view/2118/2220
dc.relationhttps://revistas.itm.edu.co/index.php/tecnologicas/article/view/2118/2221
dc.relationhttps://revistas.itm.edu.co/index.php/tecnologicas/article/view/2118/2252
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dc.rightsDerechos de autor 2021 TecnoLógicases-ES
dc.sourceTecnoLógicas; Vol. 24 No. 52 (2021); e2118en-US
dc.sourceTecnoLógicas; Vol. 24 Núm. 52 (2021); e2118es-ES
dc.source2256-5337
dc.source0123-7799
dc.subjectFunctional magnetic resonance imagingen-US
dc.subjectAlzheimer’s diseaseen-US
dc.subjectPermutation entropyen-US
dc.subjectMedical image processingen-US
dc.subjectDefault mode networken-US
dc.subjectExecutive networken-US
dc.subjectResonancia magnética funcionales-ES
dc.subjectenfermedad de Alzheimeres-ES
dc.subjectprocesamiento de imágenes médicases-ES
dc.subjectentropía por permutacioneses-ES
dc.subjectred por defectoes-ES
dc.subjectred de control ejecutivoes-ES
dc.titleAlteration of Entropy in the Precuneus and Posterior Cingulate Cortex in Alzheimer’s Disease: A Resting-State Functional Magnetic Resonance Studyen-US
dc.titleAlteración de la entropía en la precuña y la corteza cingulada posterior en la enfermedad de Alzheimer: estudio de resonancia magnética funcional en reposoes-ES
dc.typeinfo:eu-repo/semantics/article
dc.typeinfo:eu-repo/semantics/publishedVersion
dc.typeResearch Papersen-US
dc.typeArtículos de investigaciónes-ES

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