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Complexity-entropy maps as a tool for the characterization of the clinical electrophysiological evolution of patients under pharmacological treatment with psychotropic drugs
(Molecular Diversity Preservation International, 2017-10-13)
In the clinical electrophysiological practice, reading and comparing electroencephalographic (EEG) recordings are sometimes insufficient and take too much time. Tools coming from the information theory or nonlinear systems ...
Organization of brain networks governed by long-range connections index autistic traits in the general population
(BioMed Central, 2013-06)
Background: The dimensional approach to Autism Spectrum Disorder (ASD) considers ASD as the extreme of a dimension traversing through the entire population. We use electroencephalography (EEG) functional connectivity to ...
Multi-lag analysis of symbolic entropies on EEG recordings for distress recognition
(Frontiers Media S.A., 2019-05)
Distress is a critical problem in developed societies given its long-term negative effects on physical and mental health. The interest in studying this emotion has notably increased during last years, being electroencephalography ...
Differential Semiology Based on Video Electroencephalography Monitoring Between Psychogenic Nonepileptic Seizures and Temporal Lobe Epileptic Seizures
(American Psychiatric Publishing, Inc, 2021-02)
Background: Psychogenic nonepileptic seizures (PNESs) are disruptive changes in behavior without ictal correlate of epileptic activity and high prevalence of psychiatric morbidity. Differential diagnosis is difficult ...
Cerebral dynamics during the observation of point-light displays depicting postural adjustments
(Frontiers Research Foundation, 2017-05)
Objective: As highly social creatures, human beings rely part of their skills of identifying, interpreting, and predicting the actions of others on the ability of perceiving biological motion. In the present study, we aim ...
A multimodal emotion recognition method based on facial expressions and electroencephalography
(Elsevier, 2021-09)
Human-robot interaction (HRI) systems play a critical role in society. However, most HRI systems nowadays still face the challenge of disharmony, resulting in an inefficient communication between the human and the robot. ...
Predicting Known Sentences: Neural Basis of Proverb Reading Using Non-parametric Statistical Testing and Mixed-Effects Models
(Frontiers Research Foundation, 2019-02)
Predictions of future events play an important role in daily activities, such as visual search, listening, or reading. They allow us to plan future actions and to anticipate their outcomes. Reading, a natural, commonly ...
Classification of normal and pre-ictal EEG signals using permutation entropies and a generalized linear model as a classifier
(Molecular Diversity Preservation International, 2017-02)
In this contribution, a comparison between different permutation entropies as classifiers of electroencephalogram (EEG) records corresponding to normal and pre-ictal states is made. A discrete probability distribution ...
Task-specific signatures in the expert brain: Differential correlates of translation and reading in professional interpreters
(Academic Press Inc Elsevier Science, 2020-04)
Insights on the neurocognitive particularities of expert individuals have benefited from language studies on professional simultaneous interpreters (PSIs). Accruing research indicates that behavioral advantages in this ...
Seizure localization using pre ictal phase-amplitude coupling in intracranial electroencephalography
(Nature Research, 2019-12)
Understanding changes in brain rhythms provides useful information to predict the onset of a seizure and to localize its onset zone in epileptic patients. Brain rhythms dynamics in general, and phaseamplitude coupling in ...