A5072329152- Neural dynamics and brain function
- Functional Brain Connectivity Studies
- EEG and Brain-Computer Interfaces
- Neural and Behavioral Psychology Studies
- Advanced MRI Techniques and Applications
- Pain Mechanisms and Treatments
- Musculoskeletal pain and rehabilitation
- Neuroscience and Music Perception
- Face Recognition and Perception
- Multisensory perception and integration
- Pain Management and Placebo Effect
- Neuroscience and Neuropharmacology Research
- Statistical Methods and Bayesian Inference
- Visual perception and processing mechanisms
- Neuroscience and Neural Engineering
- Advanced Neuroimaging Techniques and Applications
- Mental Health Research Topics
- Bayesian Methods and Mixture Models
- Blind Source Separation Techniques
- Statistical Methods and Inference
- Hearing Loss and Rehabilitation
- Gaussian Processes and Bayesian Inference
- Electrical and Bioimpedance Tomography
- Heart Rate Variability and Autonomic Control
- Neural Networks and Applications
Manchester Metropolitan University
2024-2025
University of Manchester
2015-2024
Manchester Academic Health Science Centre
2020-2024
Cuban Neuroscience Center
2006-2015
Universidad Nacional Autónoma de México
2001
This article describes a new method for 3D QEEG tomography in the frequency domain. A variant of Statistical Parametric Mapping is presented source log spectra. Sources are estimated by means Discrete Spline EEG inverse solution known as Variable Resolution Electromagnetic Tomography (VARETA). Anatomical constraints incorporated use Montreal Neurological Institute (MNI) probabilistic brain atlas. Efficient methods developed domain VARETA order to estimate spectra set 10(3)-10(5) voxels that...
The increase of induced gamma-band responses (iGBRs; oscillations >30 Hz) elicited by familiar (meaningful) objects is well established in electroencephalogram (EEG) research. This frequency-specific change at distinct locations thought to indicate the dynamic formation local neuronal assemblies during activation cortical object representations. As analytically power just a property single location, phase-synchrony was introduced investigate large-scale networks between spatially distant...
The remarkable capabilities displayed by humans in making sense of an overwhelming amount sensory information cannot be explained easily if perception is viewed as a passive process. Current theoretical and computational models assume that to achieve meaningful coherent perception, the human brain must anticipate upcoming stimulation. But how are stimuli predicted brain? We unmasked neural representation prediction omitting input. Electrophysiological signals showed when clear can...
The ability to encode rules and detect rule-violating events outside the focus of attention is vital for adaptive behavior. Our brain recordings reveal that violations abstract auditory are processed even when sounds unattended. When subjects performed a task related but not rule, rule impaired performance activated network involving supratemporal, parietal frontal areas although none acquired explicit knowledge or became aware violations. tried behaviorally violations, brain's automatic...
The relationship between structural and functional brain networks has been characterised as complex: the two mirror each other show mutual influence but they also diverge in their organisation. This work explored whether a combination of connectivity can improve fit regression models cognitive performance. Principal Component Analysis (PCA) was first applied to data from Human Connectome Project identify latent components: Executive Function, Self-regulation, Language, Encoding Sequence...
We propose that active Bayesian inference-a general framework for decision-making-can equally be applied to interpersonal exchanges. Social cognition, however, entails special challenges. address these challenges through a novel formulation of formal model and demonstrate its psychological significance.We review relevant literature, especially with regards representations, formulate mathematical present simulation study. The accommodates normative models from utility theory places them...
Neural oscillations occur within a wide frequency range with different brain regions exhibiting resonance-like characteristics at specific points in the spectrum. At microscopic scale, single neurons possess intrinsic oscillatory properties, such that is not yet known whether cortical resonance consequential to neural or an emergent property of networks interconnect them. Using network model loosely-coupled Wilson-Cowan oscillators simulate patch sheet, we demonstrate size activated...
Advances in functional magnetic resonance spectroscopy (fMRS) have enabled the quantification of activity-dependent changes neurotransmitter concentrations vivo. However, physiological basis large GABA and glutamate observed by fMRS (>10%) over short time scales less than a minute remain unclear as such cannot be accounted for known synthesis or degradation metabolic pathways. Instead, it has been hypothesized that detects shifts they cycle from presynaptic vesicles, where are largely...