A5075130078- Neural dynamics and brain function
- Functional Brain Connectivity Studies
- EEG and Brain-Computer Interfaces
- Advanced MRI Techniques and Applications
- Advanced Memory and Neural Computing
- Neuroscience and Neuropharmacology Research
- Neural Networks and Applications
- Heart Rate Variability and Autonomic Control
- Complex Systems and Time Series Analysis
- Chaos control and synchronization
- Neuroscience and Neural Engineering
- Fractal and DNA sequence analysis
- Attention Deficit Hyperactivity Disorder
- Memory and Neural Mechanisms
- Neurological disorders and treatments
- Neurobiology and Insect Physiology Research
- Tuberculosis Research and Epidemiology
- Neuroscience and Music Perception
- Physiological and biochemical adaptations
- Parkinson's Disease Mechanisms and Treatments
- Advanced Neuroimaging Techniques and Applications
- Mental Health Research Topics
- Nonlinear Dynamics and Pattern Formation
- Spatial Neglect and Hemispheric Dysfunction
- ECG Monitoring and Analysis
Universidad de La Laguna
2015-2025
Universidad Complutense de Madrid
2019-2023
Universidad Politécnica de Madrid
2017-2023
Comunidad de Madrid
2021
Centre for Plant Biotechnology and Genomics
2018
Citigroup
2015
Instituto Tecnológico y de Energías Renovables
2001-2003
Max Planck Institute for the Physics of Complex Systems
2001
Institute of Biophysics
2000
Objective. Despite the increase in calculation power over last few decades, estimation of brain connectivity is still a tedious task. The high computational cost algorithms escalates with square number signals evaluated, usually range thousands. In this work we propose re-formulation widely used algorithm that allows whole much smaller times. Approach. We start from original implementation phase locking value (PLV) and re-formulated it computationally very efficient way. What more,...
Modern Elekta Neuromag MEG devices include 102 sensor triplets containing one magnetometer and two planar gradiometers. The first processing step is often a signal space separation (SSS), which provides powerful noise reduction. A question commonly raised by researchers reviewers relates to data should be employed in analyses: (1) magnetometers only, (2) gradiometers (3) together. community currently divided with regard the proper answer.First, we provide theoretical evidence that both...
Abstract Scopolamine administration may be considered as a psychopharmacological model of Alzheimer’s disease (AD). Here, we studied group healthy elderly under scopolamine to test whether it elicits similar changes in brain connectivity those observed AD, thereby verifying possible AD impairment. We did by testing subjects two experimental conditions: glycopyrrolate (placebo) and administration. then analyzed magnetoencephalographic (MEG) data corresponding both conditions resting-state...
Hypersynchronization has been proposed as a synaptic dysfunction biomarker in the Alzheimer's disease continuum, reflecting alteration of excitation/inhibition balance. While animal models have verified this idea extensively, there is still no clear evidence humans. Here we test hypothesis, evaluating risk conversion from mild cognitive impairment (MCI) to longitudinal study. We compared functional resting state eyes-closed magnetoencephalographic networks 54 patients with MCI who were...
Mild cognitive impairment (MCI) has been considered an intermediate state between healthy aging and dementia. The early damage in anatomical connectivity progressive loss of synapses that characterize Alzheimer's disease suggest MCI co
Structural and functional connectivity (SC FC) have received much attention over the last decade, as they offer unique insight into coordination of brain functioning. They are often assessed independently with three imaging modalities: SC using diffusion-weighted (DWI), FC magnetic resonance (fMRI), magnetoencephalography/electroencephalography (MEG/EEG). DWI provides information about white matter organization, allowing reconstruction fiber bundles. fMRI uses blood-oxygenation...
Graph theory provides a useful framework to study functional brain networks from neuroimaging data. In epilepsy research, recent findings suggest that it offers unique insight into the fingerprints of this pathology on dynamics. Most studies hitherto have focused seizure activity during focal epilepsy, but less is known about epileptic interictal in frontal and generalized epilepsy. Besides, not clear yet which measures are most suitable characterize these networks. To address issues, we...
Hippocampal firing is organized in theta sequences controlled by internal memory processes and external sensory cues, but how these computations are coordinated not fully understood. Although activity commonly studied as a unique coherent oscillation, it the result of complex interactions between different rhythm generators. Here, separating hippocampal three current generators, we found epochs with variable frequency phase coupling, suggesting flexible We that highly synchronized...
Abstract Many neuroimaging studies have shown that the hippocampus participates in a resting‐state network called default mode network. However, how connects to network, whether other networks and different hippocampal subfields take part remains poorly understood. Here, we examined these issues using high spatial‐resolution 7T fMRI dataset from Human Connectome Project. We used data‐driven techniques relied on spatially‐restricted Independent Component Analysis, Dual Regression linear...
Synchronization seems to be a central mechanism for neuronal information processing within and between multiple brain areas. Furthermore, synchronization in the γ band has been shown play an important role higher cognitive functions, especially by binding necessary spatial temporal different cortical areas build coherent perception. Specific task-induced (evoked) oscillations have often taken as indication of synchrony, but presence long-range synchrony cannot inferred from spectral power...
The proportion of elderly people in the population has increased rapidly last century and consequently "healthy aging" is expected to become a critical area research neuroscience. Evidence reveals how healthy aging depends on three main behavioral factors: social lifestyle, cognitive activity physical activity. In this study, we focused role activity, concentrating specifically educational occupational attainment factors, which were considered two pillars reserve.21 subjects with similar...
Our work aimed to demonstrate the combination of machine learning and graph theory for designing a connectomic biomarker mild cognitive impairment (MCI) subjects using eyes-closed neuromagnetic recordings. The whole analysis based on source-reconstructed activity. As ROI representation, we employed principal component (PCA) centroid approaches. representative bi-variate connectivity estimators estimation intra cross-frequency interactions, adopted phase locking value (PLV), imaginary part...
Many neuroimaging studies focus on a frequency-specific or multi-frequency network analysis showing that functional brain networks are disrupted in patients with Alzheimer's disease (AD). Although those enriched our knowledge of the impact AD brain's functionality, goal is to test effectiveness combining neuroscience predict high accuracy subjects mild cognitive impairment (MCI) will convert AD. In this study, eyes-closed resting-state magnetoencephalography (MEG) recordings from 27 stable...
In recent years, various methods, architectures, and implementations have been proposed to realize hardware-based reservoir computing (RC) for a range of classification prediction tasks. Here we compare two photonic platforms that owe their computational nonlinearity an optically injected semiconductor laser the optical transmission function Mach-Zehnder modulator, respectively. We numerically these in delay-based framework, particular exploring ability perform equalization tasks on...
Functional Connectivity has demonstrated to be a key concept for unraveling how the brain balances functional segregation and integration properties while processing information. This work presents set of open-source tools that significantly increase computational efficiency some well-known connectivity indices Graph-Theory measures. PLV, PLI, ImC, wPLI as Phase Synchronization measures, Mutual Information an information theory based measure, Generalized are computed much more efficiently...