Document from the year 2026 in the subject Medicine - Biomedical Engineering, , language: English, abstract: Dementia-related disorders-including Alzheimer's disease (AD), vascular dementia (VD), and mild cognitive impairment (MCI)-remain among the most challenging neurological conditions due to their overlapping clinical characteristics and complex neurocognitive manifestations. The difficulty in distinguishing these disorders continues to hinder therapeutic interventions, underscoring the need for analytical tools capable of revealing subtle but meaningful differences in brain network organization. This book presents an in-depth exploration of brain functional network analysis as a means to address these challenges. Leveraging phase-based mutual information as the connectivity measure, we examine the functional architecture of the brain across healthy controls and individuals diagnosed with MCI, AD, and VD. Using a carefully selected reactive frequency band, we identify consistent patterns of hypoconnectivity across the dementia groups, providing insights into shared and divergent network alterations. Two complementary computational frameworks form the core of this work: a frequent subgraph mining approach for the extraction of recurrent network motifs, and a minimum spanning tree (MST) method for structural characterization of both unweighted and weighted brain networks. The frequent subgraphs derived from dementia-specific networks are further applied for classification tasks, while MST-based features and additional graph-theoretic measures are used to delineate disease-specific network signatures.
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Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne
Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware 68 pp. Englisch. N° de réf. du vendeur 9783389172780
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Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
Taschenbuch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - Document from the year 2026 in the subject Medicine - Biomedical Engineering, , language: English, abstract: Dementia-related disorders-including Alzheimer's disease (AD), vascular dementia (VD), and mild cognitive impairment (MCI)-remain among the most challenging neurological conditions due to their overlapping clinical characteristics and complex neurocognitive manifestations. The difficulty in distinguishing these disorders continues to hinder therapeutic interventions, underscoring the need for analytical tools capable of revealing subtle but meaningful differences in brain network organization.This book presents an in-depth exploration of brain functional network analysis as a means to address these challenges. Leveraging phase-based mutual information as the connectivity measure, we examine the functional architecture of the brain across healthy controls and individuals diagnosed with MCI, AD, and VD. Using a carefully selected reactive frequency band, we identify consistent patterns of hypoconnectivity across the dementia groups, providing insights into shared and divergent network alterations.Two complementary computational frameworks form the core of this work: a frequent subgraph mining approach for the extraction of recurrent network motifs, and a minimum spanning tree (MST) method for structural characterization of both unweighted and weighted brain networks. The frequent subgraphs derived from dementia-specific networks are further applied for classification tasks, while MST-based features and additional graph-theoretic measures are used to delineate disease-specific network signatures. N° de réf. du vendeur 9783389172780
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Taschenbuch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -Document from the year 2026 in the subject Medicine - Biomedical Engineering, , language: English, abstract: Dementia-related disorders-including Alzheimer's disease (AD), vascular dementia (VD), and mild cognitive impairment (MCI)-remain among the most challenging neurological conditions due to their overlapping clinical characteristics and complex neurocognitive manifestations. The difficulty in distinguishing these disorders continues to hinder therapeutic interventions, underscoring the need for analytical tools capable of revealing subtle but meaningful differences in brain network organization.This book presents an in-depth exploration of brain functional network analysis as a means to address these challenges. Leveraging phase-based mutual information as the connectivity measure, we examine the functional architecture of the brain across healthy controls and individuals diagnosed with MCI, AD, and VD. Using a carefully selected reactive frequency band, we identify consistent patterns of hypoconnectivity across the dementia groups, providing insights into shared and divergent network alterations.Two complementary computational frameworks form the core of this work: a frequent subgraph mining approach for the extraction of recurrent network motifs, and a minimum spanning tree (MST) method for structural characterization of both unweighted and weighted brain networks. The frequent subgraphs derived from dementia-specific networks are further applied for classification tasks, while MST-based features and additional graph-theoretic measures are used to delineate disease-specific network signatures.Books on Demand GmbH, Überseering 33, 22297 Hamburg 68 pp. Englisch. N° de réf. du vendeur 9783389172780
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Taschenbuch. Etat : Neu. EEG-Based Computational Neuroengineering for Dementia Diagnosis | Abdulyekeen T. Adebisi (u. a.) | Taschenbuch | Englisch | 2026 | GRIN Verlag | EAN 9783389172780 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. N° de réf. du vendeur 134475307
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