Now showing items 1-14 of 14

    • Alterations in EEG connectivity in healthy young adults provide an indicator of sleep depth 

      Migliorelli Falcone, Carolina Mercedes; Bachiller Matarranz, Alejandro; Andrade, Andreia G.; Alonso López, Joan Francesc; Mañanas Villanueva, Miguel Ángel; Borja Mallach, Cristina; Romero Lafuente, Sergio (2019-06-11)
      Article
      Open Access
      Current sleep analyses have used electroencephalography (EEG) to establish sleep intensity through linear and nonlinear measures. Slow wave activity (SWA) and entropy are the most commonly used markers of sleep depth. The ...
    • Auditory P3a and P3b neural generators in schizophrenia: An adaptive sLORETA P300 localization approach 

      Bachiller Matarranz, Alejandro; Romero Lafuente, Sergio; Molina, Vicente; Alonso López, Joan Francesc; Mañanas Villanueva, Miguel Ángel; Poza Crespo, Jesús; Hornero Sánchez, Roberto (2015-12)
      Article
      Open Access
      The present study investigates the neural substrates underlying cognitive processing in schizophrenia (Sz) patients. To this end, an auditory 3-stimulus oddball paradigm was used to identify P3a and P3b components, elicited ...
    • Choosing strategies to deal with artifactual eeg data in children with cognitive impairment 

      Tost Abadías, Ana; Migliorelli Falcone, Carolina Mercedes; Bachiller Matarranz, Alejandro; Medina Rivera, Inés; Romero Lafuente, Sergio; García Cazorla, Àngels; Mañanas Villanueva, Miguel Ángel (2021-08-11)
      Article
      Open Access
      Rett syndrome is a disease that involves acute cognitive impairment and, consequently, a complex and varied symptomatology. This study evaluates the EEG signals of twenty-nine patients and classify them according to the ...
    • Choosing strategies to deal with artifactual EEG data in children with cognitive impairment 

      Tost Abadías, Ana; Migliorelli Falcone, Carolina Mercedes; Bachiller Matarranz, Alejandro; Romero Lafuente, Sergio; Mañanas Villanueva, Miguel Ángel; García Cazorla, Àngels (2020)
      Conference lecture
      Open Access
      Rett syndrome is a disease that involves acute cognitive impairment and, consequently, a complex and varied symptomatology. This study evaluates the EEG signals of twenty-nine patients in order to implement an effective ...
    • Cognitive stimulation has potential for brain activation in individuals with Rett syndrome 

      Migliorelli Falcone, Carolina Mercedes; Medina Rivera, Inés; Bachiller Matarranz, Alejandro; Tost Abadías, Ana; Alonso López, Joan Francesc; López Sala, Anna; Armstrong, Judit; O'Callaghan Gordo, Ma del Mar; Pineda Marfà, Mercè; Mañanas Villanueva, Miguel Ángel; Romero Lafuente, Sergio; García Cazorla, Àngels (John Wiley & sons, 2021-11-18)
      Article
      Open Access
      Background: Knowledge regarding neuropsychological training in Rett syndrome (RS) is scarce. The aim of this study was to assess the outcome and the duration of the effect of cognitive stimulation on topographic EEG data ...
    • Cognitive stimulation leads to a long-term brain activation with a spectral shift to higher frequencies in Rett syndrome patients 

      Tost Abadías, Ana; Bachiller Matarranz, Alejandro; García Cazorla, Àngels; Medina Rivera, Inés; Romero Lafuente, Sergio; Mañanas Villanueva, Miguel Ángel (Universidad de Valladolid, 2022)
      Conference lecture
      Open Access
      Rett syndrome (RTT) is the second leading cause of mental disability in women and causes a serious neurodevelopmental disorder that leads to a global disability of the individual. Cognitive training has been shown to improve ...
    • Epileptic seizure prediction and onset zone localization using intracranial and scalp electroencephalographic and magnetoencephalographic signals 

      Marateb, Hamid Reza; Migliorelli Falcone, Carolina Mercedes; Bachiller Matarranz, Alejandro; Azimi, Tayebe; Nezhad, Farzad Ziaie; Mansourian Gharakozlou, Marjan; Alonso López, Joan Francesc; Aparicio, Javier; San Antonio Arce, María Victoria; Romero Lafuente, Sergio; Mañanas Villanueva, Miguel Ángel (Institute of Physics (IOP), 2020-09)
      Part of book or chapter of book
      Restricted access - publisher's policy
      In this chapter, we discuss how intracranial or scalp electroencephalographic and magnetoencephalographic recordings could be used for epileptic seizure prediction and onset zone localization. The signal processing methods ...
    • Improving the quality of combined TMS-EEG neural recordings: artefact removal and time analysis 

      Mijancos Martínez, Gema; Bachiller Matarranz, Alejandro; Fernández Linsenbarth, Inés; Alonso López, Joan Francesc; Romero Lafuente, Sergio; Molina Rodriguez, Vicente; Mañanas Villanueva, Miguel Ángel (Sociedad Española de Ingeniería Biomédica (SEIB), 2022)
      Conference lecture
      Open Access
      Transcranial magnetic stimulation and electroencephalography (TMS-EEG) recordings are key to perform a direct evaluation of cortical function in a non-invasive and task-free manner. For the past few years, it has been used ...
    • Improving the ripple classification in focal pediatric epilepsy: identifying pathological high-frequency oscillations by Gaussian mixture model clustering 

      Migliorelli Falcone, Carolina Mercedes; Romero Lafuente, Sergio; Bachiller Matarranz, Alejandro; Aparicio Calvo, Javier; Alonso López, Joan Francesc; Mañanas Villanueva, Miguel Ángel; San Antonio Arce, María Victoria (2021-08-01)
      Article
      Open Access
      Objective: High-frequency oscillations (HFOs) have emerged as a promising clinical biomarker for presurgical evaluation in childhood epilepsy. HFOs are commonly classified in stereo-encephalography as ripples (80–200 Hz) ...
    • Influence of the number of trials on evoked motor cortical activity in EEG recordings 

      Borràs Argemí, Marta; Romero Lafuente, Sergio; Alonso López, Joan Francesc; Bachiller Matarranz, Alejandro; Serna Higuita, Leidy Yanet; Migliorelli Falcone, Carolina Mercedes; Mañanas Villanueva, Miguel Ángel (2022-08-26)
      Article
      Open Access
      Objective. Improvements in electroencephalography enable the study of the localization of active brain regions during motor tasks. Movement-related cortical potentials (MRCPs), and event-related desynchronization (ERD) and ...
    • Psychiatric disorders and cognitive impairment following COVID-19: a comprehensive review and its implications for smart healthcare design 

      Azimi, Tayebe; Koochekian, Amirhossein; Marateb, Hamid Reza; Shirzadi, Mehdi; Rojas Martínez, Mónica Marlene; Alonso López, Joan Francesc; Bachiller Matarranz, Alejandro; Mansourian Gharakozlou, Marjan; Rubio Rivas, Manuel; Romero Lafuente, Sergio; Mañanas Villanueva, Miguel Ángel (Institute of Physics (IOP), 2022-12)
      Part of book or chapter of book
      Restricted access - publisher's policy
      Chapter 3 discusses the role of sensors in cases of moderate COVID-19 infection that may be linked to cognitive impairments; such prediction systems are promising for smart healthcare design.
    • Relation between task-related activity modulation and cortical inhibitory function in schizophrenia and healthy controls: a TMS–EEG study 

      Fernández Linsenbarth, Inés; Mijancos Martínez, Gema; Bachiller Matarranz, Alejandro; Núñez, Pablo; Rodríguez González, Víctor; Beño Ruiz de la Sierra, Rosa María; Roig Herrero, Alejandro; Arjona Valladares, Antonio; Poza Crespo, Jesús; Mañanas Villanueva, Miguel Ángel; Molina Rodriguez, Vicente (2024-01-19)
      Article
      Open Access
      Schizophrenia has been associated with a reduced task-related modulation of cortical activity assessed through electroencephalography (EEG). However, to the best of our knowledge, no study so far has assessed the underpinnings ...
    • SGM: a novel time-frequency algorithm based on unsupervised learning improves high-frequency oscillation detection in epilepsy 

      Migliorelli Falcone, Carolina Mercedes; Bachiller Matarranz, Alejandro; Alonso López, Joan Francesc; Romero Lafuente, Sergio; Aparicio, Javier; Jacobs-Le Van, Julia; Mañanas Villanueva, Miguel Ángel; San Antonio-Arce, Victoria (2020-04-22)
      Article
      Open Access
      Objective. We propose a novel automated method called the S-Transform Gaussian Mixture detection algorithm (SGM) to detect high-frequency oscillations (HFO) combining the strengths of different families of previously ...
    • Topography of activation deficits in schizophrenia during P300 task related to cognition and structural connectivity 

      Molina Rodriguez, Vicente; Bachiller Matarranz, Alejandro; Luis García, Rodrigo de; Lubeiro Juárez, Alba; Poza Crespo, Jesús; Hornero Sánchez, Roberto; Alonso López, Joan Francesc; Mañanas Villanueva, Miguel Ángel; Marques, Patricia; Romero Lafuente, Sergio (2018-02-02)
      Article
      Open Access
      Background The study of cerebral underpinnings of schizophrenia may benefit from the high temporal resolution of electromagnetic techniques, but its spatial resolution is low. However, source imaging approaches such as ...