Argitalpenak (13) SANDRA ANGÉLICA PUSIL ARCE argitalpenak

2023

  1. Búsqueda de nuevos biomarcadores en la actividad oscilatoria del cerebro humano

    Libro de Resúmenes: III Edición de las Jornadas de Investigación en Psicología

  2. Effects of spaceflight on the EEG alpha power and functional connectivity

    Scientific reports, Vol. 13, Núm. 1, pp. 9489

  3. How can cry acoustics associate newborns’ distress levels with neurophysiological and behavioral signals?

    Frontiers in Neuroscience, Vol. 17

  4. Multi-modal analysis of infant cry types characterization: Acoustics, body language and brain signals

    Computers in Biology and Medicine, Vol. 167

2022

  1. Decoding motor expertise from fine-tuned oscillatory network organization

    Human Brain Mapping, Vol. 43, Núm. 9, pp. 2817-2832

  2. Resting-State Beta-Band Recovery Network Related to Cognitive Improvement After Stroke

    Frontiers in Neurology, Vol. 13

2021

  1. Deep-MEG: spatiotemporal CNN features and multiband ensemble classification for predicting the early signs of Alzheimer’s disease with magnetoencephalography

    Neural Computing and Applications, Vol. 33, Núm. 21, pp. 14651-14667

2020

  1. A deep CNN‐based approach for predicting MCI to AD conversion

    Alzheimer's Association International Conference (AAIC) 2020

2019

  1. Aberrant MEG multi-frequency phase temporal synchronization predicts conversion from mild cognitive impairment-to-Alzheimer's disease

    NeuroImage: Clinical, Vol. 24

  2. Dynamic low frequency EEG phase synchronization patterns during proactive control of task switching

    NeuroImage, Vol. 186, pp. 70-82

  3. Hypersynchronization in mild cognitive impairment: the 'X' model

    Brain : a journal of neurology, Vol. 142, Núm. 12, pp. 3936-3950

2015

  1. Network disruption and cerebrospinal fluid amyloid-beta and phospho-tau levels in mild cognitive impairment

    Journal of Neuroscience, Vol. 35, Núm. 28, pp. 10325-10330

  2. Scopolamine effects on functional brain connectivity: A pharmacological model of Alzheimer's disease

    Scientific Reports, Vol. 5