A5028137676- Functional Brain Connectivity Studies
- Neural dynamics and brain function
- EEG and Brain-Computer Interfaces
- Mental Health Research Topics
- Obstructive Sleep Apnea Research
- Advanced Neuroimaging Techniques and Applications
- Schizophrenia research and treatment
- Neuroscience and Neural Engineering
- Neural and Behavioral Psychology Studies
- Sleep and Wakefulness Research
- Non-Invasive Vital Sign Monitoring
- Neuroscience of respiration and sleep
- Neuroscience and Music Perception
- Gaze Tracking and Assistive Technology
- Heart Rate Variability and Autonomic Control
- Sleep and related disorders
- Psychosomatic Disorders and Their Treatments
- Advanced MRI Techniques and Applications
- Migraine and Headache Studies
- Neural Networks and Applications
- Fractal and DNA sequence analysis
- Gene expression and cancer classification
- Tracheal and airway disorders
- Neonatal and fetal brain pathology
- Trigeminal Neuralgia and Treatments
Universidad de Valladolid
2015-2025
Biomedical Research Networking Center in Bioengineering, Biomaterials and Nanomedicine
2020-2023
Instituto de Salud Carlos III
2020-2023
Instituto de Biomedicina y Genética Molecular de Valladolid
2023
Centro de Investigación Biomédica en Red
2020
Hospital Santiago Apostol
2020
Hospital de Cruces
2020
Instituto de Estudios de Ciencias de la Salud de Castilla y León
2020
Universidad de Salamanca
2020
Research Institute Hospital 12 de Octubre
2020
Abstract The self is the core of our mental life. Previous investigations have demonstrated a strong neural overlap between self‐related activity and resting state activity. This suggests that information about self‐relatedness encoded in brain's spontaneous exact neuronal mechanisms such “rest‐self containment,” however, remain unclear. present EEG study investigated temporal measures to relate them self‐consciousness. was obtained with self‐consciousness scale (SCS) which Private, Public,...
Abstract The human cortex exhibits intrinsic neural timescales that shape a temporal hierarchy. Whether this hierarchy follows the spatial of its topography, namely core-periphery organization, remains an open issue. Using magnetoencephalography data, we investigate during rest and task states; measure autocorrelation window in short (ACW-50) and, introducing novel variant, long (ACW-0) windows. We demonstrate longer ACW-50 ACW-0 networks located at core compared to those periphery with...
The brain exhibits a complex temporal structure which translates into hierarchy of distinct neural timescales. An open question is how these intrinsic timescales are related to sensory or motor information processing and whether dynamics have common patterns in different behavioral states. We address questions by investigating the brain's healthy controls, (amyotrophic lateral sclerosis, locked-in syndrome), (anesthesia, unresponsive wakefulness progressive reduction (from awake states over...
Practical motor imagery-based brain computer interface (MI-BCI) applications are limited by the difficult to decode signals in a reliable way. In this paper, we propose processing framework address non-stationarity, as well handle spectral, temporal, and spatial characteristics associated with execution of tasks. Stacked generalization is used exploit power classifier ensembles for combining information coming from multiple sources reducing existing uncertainty EEG signals. The outputs...
This paper presents an electroencephalographic (EEG) P300-based brain-computer interface (BCI) Internet browser. The system uses the "odd-ball" row-col paradigm for generating P300 evoked potentials on scalp of user, which are immediately processed and translated into web browser commands. There were previous approaches controlling a BCI However, to best our knowledge, none them was focused assistive context, failing test their applications with suitable number end users. In addition, all...
The brain shows a topographical hierarchy along the lines of lower- and higher-order networks. exact temporal dynamics characterization this lower-higher-order topography at rest its impact on task states remains unclear, though. Using 2 functional magnetic resonance imaging data sets, we investigate networks in terms signal compressibility, operationalized by Lempel-Ziv complexity (LZC). As assume that degree is related to slow-fast frequency balance, also compute median (MF), an estimation...
Complete locked-in syndrome (CLIS) resulting from late-stage amyotrophic lateral sclerosis (ALS) is characterised by loss of motor function and eye movements. The absence behavioural indicators consciousness makes the search for neuronal correlates as possible biomarkers clinically ethically urgent. EEG-based measures brain dynamics such power-law exponent (PLE) Lempel-Ziv complexity (LZC) have been shown to explanatory power may provide indices patients with CLIS. Here, we validated PLE LZC...
Abstract Schizophrenia is a complex psychiatric disorder exhibiting alterations in spontaneous and task-related cerebral activity whose relation (termed “state dependence”) remains unclear. For unraveling their relationship, we review recent electroencephalographic (and few functional magnetic resonance imaging) studies schizophrenia that assess compare both rest/prestimulus task states, ie, rest/prestimulus–task modulation. Results report reduced neural differentiation of from across...
Neural responses to the same stimulus show significant variability over trials, with this typically reduced (quenched) after a is presented. This trial-to-trial (TTV) has been much studied, however how neural quenching influenced by ongoing dynamics of prestimulus period unknown. Utilizing human intracranial stereo-electroencephalography (sEEG) data set, we investigate dynamics, as operationalized standard deviation (SD), shapes poststimulus activity through (TTV). We first observed greater...
Cortical oscillations and scale-free neural activity are thought to influence a variety of cognitive functions, but their differential relationships stability flexibility has never been investigated. Based on the existing literature, we hypothesize that oscillatory processes in brain exhibit different trade-offs between flexibility; specifically, cortical may reflect variable, task-responsive aspects activity, while is proposed more stable task-unresponsive aspect. We test this hypothesis...
The brain is continuously bombarded by external stimuli, which are processed in different input systems. intrinsic features of these sensory systems remain yet unclear. Investigating topography and dynamics the goal our study order to better understand that shape their neural processing. Using a functional magnetic resonance imaging dataset, we measured during rest task states. Neural were probed scale-free activity, with power-law exponent (PLE), as well order/disorder sample entropy...
The aim of this study was to introduce a novel global measure graph complexity: Shannon complexity (SGC). This specifically developed for weighted graphs, but it can also be applied binary graphs. proposed designed capture the interplay between two properties system: ‘information’ (calculated by means entropy) and ‘order’ system (estimated disequilibrium measure). SGC is based on concept that complex graphs should maintain an equilibrium aforementioned properties, which measured edge weight...
Heart rate variability (HRV) provides useful information about heart dynamics both under healthy and pathological conditions. Entropy measures have shown their utility to characterize these dynamics. In this paper, we assess the ability of spectral entropy (SE) multiscale (MsE) sleep apnoea-hypopnea syndrome (SAHS) in HRV recordings from 188 subjects. Additionally, evaluate eventual differences analyses depending on gender. We found that SE computed very low frequency band showed SAHS...
Abstract As technology in Artificial Intelligence has developed, the question of how to program driverless cars respond an emergency arisen. It was recently shown that approval consequential behavior varied with number lives saved and showed interindividual differences, increasing alongside saved. In present study, differences individualized moral decision-making at both behavioral neural level were investigated using EEG. found alpha event-related spectral perturbation (ERSP) delta/theta...
Abstract Studies of perception and cognition in schizophrenia (SCZ) show neuronal background noise (ongoing activity) to intermittently overwhelm the processing external stimuli. This increased noise, relative activity evoked by stimulus, results temporal imprecision higher variability behavioral responses. What, however, are neural correlates SCZ behavior? We first report a decrease electroencephalography signal-to-noise ratio (SNR) two datasets tasks broadband (1–80 Hz), theta (4–8 alpha...
Sleep spindles are microevents of the electroencephalogram (EEG) during sleep whose functional interpretation is not fully clear. To streamline identification process and make it more replicable, multiple automatic detectors have been proposed in literature. Among these methods, algorithms based on deep learning usually demonstrate superior accuracy performance assessment up to now. However, using rationale behind model decision-making hard understand. In this study, we propose a novel...
The aim of the present study was to characterize neural network reorganization during a cognitive task in schizophrenia (SCH) by means wavelet entropy (WE). Previous studies suggest that impairment patients with SCH could be related disrupted integrative functions circuits. Nevertheless, further characterization this effect is needed, especially time-frequency domain. This sensitive fast neuronal dynamics and their synchronization may an important component distributed interactions; light...