Automated Multiclass Classification of Spontaneous EEG Activity in Alzheimer’s Disease and Mild Cognitive Impairment

Autor: Saúl J. Ruiz-Gómez, Carlos Gómez, Jesús Poza, Gonzalo C. Gutiérrez-Tobal, Miguel A. Tola-Arribas, Mónica Cano, Roberto Hornero

Publikováno v: Entropy, Vol 20, Iss 1, p 35 (2018)

The discrimination of early Alzheimer’s disease (AD) and its prodromal form (i.e., mild cognitive impairment, MCI) from cognitively healthy control (HC) subjects is crucial since the treatment is more effective in the first stages of the dementia.

Externí odkaz: https://doaj.org/article/d00a218b890a431c990e1b9db77c9d23

Connectivity-based Meta-Bands: A new approach for automatic frequency band identification in connectivity analyses

Autor: Víctor Rodríguez-González, Pablo Núñez, Carlos Gómez, Yoshihito Shigihara, Hideyuki Hoshi, Miguel Ángel Tola-Arribas, Mónica Cano, Ángel Guerrero, David García-Azorín, Roberto Hornero, Jesús Poza

Publikováno v: NeuroImage, Vol 280, Iss , Pp 120332- (2023)

The majority of electroencephalographic (EEG) and magnetoencephalographic (MEG) studies filter and analyse neural signals in specific frequency ranges, known as “canonical” frequency bands. However, this segmentation, is not exempt from limitatio

Externí odkaz: https://doaj.org/article/e3dc86a9460a4ca9aa94111fd8533f15

Quantification of the robustness of functional neural networks: application to the characterization of Alzheimer’s disease continuum

Autor: Marcos Revilla-Vallejo, Carlos Gómez, Javier Gomez-Pilar, Roberto Hornero, Miguel Ángel Tola-Arribas, Mónica Cano, Yoshihito Shigihara, Hideyuki Hoshi, Jesús Poza

Publikováno v: Journal of Neural Engineering. 20:036023

Objective. Brain connectivity networks are usually characterized in terms of properties coming from the complex network theory. Using new measures to summarize the attributes of functional connectivity networks can be an important step for their bett

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::5b79a89f419ea6cecb938055bd7db327
https://doi.org/10.1088/1741-2552/acd41c

Exploring the alterations in the distribution of neural network weights in dementia due to alzheimer’s disease

Autor: Marcos Revilla-Vallejo, Jesús Poza, Mónica Cano, Carlos Gómez, Miguel A. Tola-Arribas, Javier Gomez-Pilar, Roberto Hornero

Publikováno v: Entropy
Volume 23
Issue 5
Entropy, Vol 23, Iss 500, p 500 (2021)

Producción Científica
Alzheimer’s disease (AD) is a neurodegenerative disorder which has become an outstanding social problem. The main objective of this study was to evaluate the alterations that dementia due to AD elicits in the distributi

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b32fc75e5e585ec0621898d4f23eb075
https://doi.org/10.3390/e23050500

Characterizing the fluctuations of dynamic resting-state electrophysiological functional connectivity

Autor: Carlos Gómez, Jesús Poza, Pablo Núñez, Mónica Cano, Arjan Hillebrand, Roberto Hornero, Miguel A. Tola-Arribas, Víctor Rodríguez-González

Publikováno v: Journal of neural engineering, 16(5):056030
Núñez, P, Poza, J, Gomez, C, Rodríguez-González, V, Hillebrand, A, Tola-Arribas, M Á, Cano, M & Hornero, R 2019, ' Characterizing the fluctuations of dynamic resting-state electrophysiological functional connectivity : Reduced neuronal coupling variability in mild cognitive impairment and dementia due to Alzheimer's disease ', Journal of neural engineering, vol. 16, no. 5, 056030 . https://doi.org/10.1088/1741-2552/ab234b

OBJECTIVE: The characterization of brain functional connectivity is a helpful tool in the study of the neuronal substrates and mechanisms that are altered in Azheimer's Disease (AD) and mild cognitive impairment (MCI). Recently, there has been a shif

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c9737ba055d5300e1803e64ca504c97c
http://www.scopus.com/inward/record.url?scp=85072509248&partnerID=8YFLogxK