Publicacións nas que colabora con JESUS POZA CRESPO (26)

2021

  1. A new method to build multiplex networks using canonical correlation analysis for the characterization of the Alzheimer's disease continuum

    Journal of Neural Engineering, Vol. 18, Núm. 2

2020

  1. Estudio de la relación entre el gen MAPT y la conectividad cerebral en la demencia por enfermedad de Alzheimer

    XXXVIII Congreso Anual de la Sociedad Española de Ingeniería Biomédica. CASEIB 2020: Libro de actas

  2. Genome-wide scan for five brain oscillatory phenotypes identifies a new qtl associated with theta eeg band

    Brain Sciences, Vol. 10, Núm. 11, pp. 1-22

  3. Inter-band Bispectral Analysis of EEG Background Activity to Characterize Alzheimer's Disease Continuum

    Frontiers in Computational Neuroscience, Vol. 14

  4. Volume Conduction Effects on Connectivity Metrics: Application of Network Parameters to Characterize Alzheimer's Disease Continuum

    Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS

2019

  1. Analysis of Spontaneous EEG Activity in Alzheimer’s Disease Patients by Means of Multiscale Spectral Entropy

    Biosystems and Biorobotics (Springer International Publishing), pp. 579-583

  2. Analysis of Volume Conduction Effects on Different Functional Connectivity Metrics: Application to Alzheimer's Disease EEG Signals

    Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS

  3. Analysis of information flux in alzheimer’s disease and mild cognitive impairment by means of graph-theory parameters

    Biosystems and Biorobotics (Springer International Publishing), pp. 569-573

  4. Characterization of EEG Resting-state Activity in Alzheimer's Disease by Means of Recurrence Plot Analyses

    Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS

  5. Characterizing non-stationarity in alzheimer’s disease and mild cognitive impairment by means of kullback-leibler divergence

    Biosystems and Biorobotics (Springer International Publishing), pp. 574-578

  6. Computational modeling of the effects of EEG volume conduction on functional connectivity metrics. Application to Alzheimer's disease continuum

    Journal of Neural Engineering, Vol. 16, Núm. 6

  7. Modelado computacional de la conducción de volumen en el EEG. Caracterización del deterioro cognitivoleve y su progresión a la enfermedad de Alzheimer

    Hacia una salud personalizada y universal. XXXVII Congreso Anual de la Sociedad Española de Ingeniería Biomédica: Actas del Congreso CASEIB 2019

2018

  1. Alterations of effective connectivity patterns in mild cognitive impairment: An MEG Study

    Journal of Alzheimer's Disease, Vol. 65, Núm. 3, pp. 843-854

  2. Analysis of electroencephalographic dynamic functional connectivity in Alzheimer’s disease

    IFMBE Proceedings

  3. Assessment of EEG Connectivity Patterns in Mild Cognitive Impairment Using Phase Slope Index

    Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS

  4. Automated multiclass classification of spontaneous EEG activity in Alzheimer's disease and mild cognitive impairment

    Entropy, Vol. 20, Núm. 1

  5. Caracterización de la apnea del sueño infantil mediante nuevas bandas espectrales del EEG

    Libro de Actas del XXXVI Congreso Anual de la Sociedad Española de Ingeniería Biomédica

  6. Estudio del efecto de la conducción de volumen en medidas de conectividad funcional derivadas de la coherencia

    Libro de Actas del XXXVI Congreso Anual de la Sociedad Española de Ingeniería Biomédica

  7. Localización de fuentes cerebrales para la caracterización de la demencia debida a enfermedad de Alzheimer

    Libro de Actas del XXXVI Congreso Anual de la Sociedad Española de Ingeniería Biomédica

  8. Measuring alterations of spontaneous EEG neural coupling in alzheimer's disease and mild cognitive impairment by means of cross-entropy metrics

    Frontiers in Neuroinformatics, Vol. 12