Publicaciones en las que colabora con JESUS POZA CRESPO (27)

2024

  1. Functional network properties in schizophrenia and bipolar disorder assessed with high-density electroencephalography

    Progress in Neuro-Psychopharmacology and Biological Psychiatry, Vol. 129

  2. Relation between task-related activity modulation and cortical inhibitory function in schizophrenia and healthy controls: a TMS–EEG study

    European Archives of Psychiatry and Clinical Neuroscience

  3. Unveiling the alterations in the frequency-dependent connectivity structure of MEG signals in mild cognitive impairment and Alzheimer's disease

    Biomedical Signal Processing and Control, Vol. 87

2023

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

    NeuroImage, Vol. 280

2022

  1. Schizophrenia induces abnormal frequency-dependent patterns of dynamic brain network reconfiguration during an auditory oddball task

    Journal of neural engineering, Vol. 19, Núm. 1

2021

  1. Abnormal meta-state activation of dynamic brain networks across the Alzheimer spectrum

    NeuroImage, Vol. 232

  2. Effect of segment length, sampling frequency, and imaging modality on the estimation of measures of brain meta-state activation: an MEG/EEG study

    Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference, Vol. 2021, pp. 315-318

2020

  1. Characterization of the dynamic behavior of neural activity in Alzheimer's disease: Exploring the non-stationarity and recurrence structure of EEG resting-state activity

    Journal of Neural Engineering, Vol. 17, Núm. 1

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 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

  3. 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

  4. 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

  5. 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, Núm. 5

  6. Estudio del comportamiento dinámico del EEG durante la progresión de deterioro cognitivo leve a demencia por enfermedad de Alzheimer

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

  7. Towards Automatic Artifact Rejection in Resting-State MEG Recordings: Evaluating the Performance of the SOUND Algorithm

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

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. Deficits of entropy modulation in schizophrenia are predicted by functional connectivity strength in the theta band and structural clustering

    NeuroImage: Clinical, Vol. 18, pp. 382-389

  5. Quantification of Graph Complexity Based on the Edge Weight Distribution Balance: Application to Brain Networks

    International Journal of Neural Systems, Vol. 28, Núm. 1