<?xml version="1.0" encoding="UTF-8"?><?xml-stylesheet type="text/xsl" href="static/style.xsl"?><OAI-PMH xmlns="http://www.openarchives.org/OAI/2.0/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/ http://www.openarchives.org/OAI/2.0/OAI-PMH.xsd"><responseDate>2026-04-14T19:32:53Z</responseDate><request verb="GetRecord" identifier="oai:uvadoc.uva.es:10324/64732" metadataPrefix="mods">https://uvadoc.uva.es/oai/request</request><GetRecord><record><header><identifier>oai:uvadoc.uva.es:10324/64732</identifier><datestamp>2025-09-04T12:09:52Z</datestamp><setSpec>com_10324_1191</setSpec><setSpec>com_10324_931</setSpec><setSpec>com_10324_894</setSpec><setSpec>col_10324_1379</setSpec></header><metadata><mods:mods xmlns:mods="http://www.loc.gov/mods/v3" xmlns:doc="http://www.lyncode.com/xoai" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-1.xsd">
<mods:name>
<mods:namePart>Ruiz Gómez, Saúl José</mods:namePart>
</mods:name>
<mods:name>
<mods:namePart>Gómez Peña, Carlos</mods:namePart>
</mods:name>
<mods:name>
<mods:namePart>Poza Crespo, Jesús</mods:namePart>
</mods:name>
<mods:name>
<mods:namePart>Martínez Zarzuela, Mario</mods:namePart>
</mods:name>
<mods:name>
<mods:namePart>Tola Arribas, Miguel Ángel</mods:namePart>
</mods:name>
<mods:name>
<mods:namePart>Cano, Mónica</mods:namePart>
</mods:name>
<mods:name>
<mods:namePart>Hornero Sánchez, Roberto</mods:namePart>
</mods:name>
<mods:extension>
<mods:dateAvailable encoding="iso8601">2024-01-18T12:17:45Z</mods:dateAvailable>
</mods:extension>
<mods:extension>
<mods:dateAccessioned encoding="iso8601">2024-01-18T12:17:45Z</mods:dateAccessioned>
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<mods:originInfo>
<mods:dateIssued encoding="iso8601">2018</mods:dateIssued>
</mods:originInfo>
<mods:identifier type="citation">Ruiz-Gómez SJ, Gómez C, Poza J, Martínez-Zarzuela M, Tola-Arribas MA, Cano M and Hornero R (2018) Measuring Alterations of Spontaneous EEG Neural Coupling in Alzheimer's Disease and Mild Cognitive Impairment by Means of Cross-Entropy Metrics. Front. Neuroinform. 12:76. doi: 10.3389/fninf.2018.00076</mods:identifier>
<mods:identifier type="uri">https://uvadoc.uva.es/handle/10324/64732</mods:identifier>
<mods:identifier type="doi">10.3389/fninf.2018.00076</mods:identifier>
<mods:identifier type="publicationtitle">Frontiers in Neuroinformatics</mods:identifier>
<mods:identifier type="publicationvolume">12</mods:identifier>
<mods:identifier type="essn">1662-5196</mods:identifier>
<mods:abstract>Alzheimer's Disease (AD) represents the most prevalent form of dementia and is considered a major health problem due to its high prevalence and its economic costs. An accurate characterization of the underlying neural dynamics in AD is crucial in order to adopt effective treatments. In this regard, mild cognitive impairment (MCI) is an important clinical entity, since it is a risk-state for developing dementia. In the present study, coupling patterns of 111 resting-state electroencephalography (EEG) recordings were analyzed. Specifically, we computed Cross-Approximate Entropy (Cross-ApEn) and Cross-Sample Entropy (Cross-SampEn) of 37 patients with dementia due to AD, 37 subjects with MCI, and 37 healthy control (HC) subjects. Our results showed that Cross-SampEn outperformed Cross-ApEn, revealing higher number of significant connections among the three groups (Kruskal-Wallis test, FDR-corrected p-values &lt; 0.05). AD patients exhibited statistically significant lower similarity values at θ and β1 frequency bands compared to HC. MCI is also characterized by a global decrease of similarity in all bands, being only significant at β1. These differences shows that β band might play a significant role in the identification of early stages of AD. Our results suggest that Cross-SampEn could increase the insight into brain dynamics at different AD stages. Consequently, it may contribute to develop early AD biomarkers, potentially useful as diagnostic information.</mods:abstract>
<mods:language>
<mods:languageTerm>eng</mods:languageTerm>
</mods:language>
<mods:accessCondition type="useAndReproduction">info:eu-repo/semantics/openAccess</mods:accessCondition>
<mods:titleInfo>
<mods:title>Measuring Alterations of Spontaneous EEG Neural Coupling in Alzheimer's Disease and Mild Cognitive Impairment by Means of Cross-Entropy Metrics</mods:title>
</mods:titleInfo>
<mods:genre>info:eu-repo/semantics/article</mods:genre>
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