A5022399458- EEG and Brain-Computer Interfaces
- Functional Brain Connectivity Studies
- Neural dynamics and brain function
- Long-Term Effects of COVID-19
- COVID-19 Clinical Research Studies
- Parkinson's Disease Mechanisms and Treatments
- COVID-19 and Mental Health
- Neonatal and fetal brain pathology
- Genetic Neurodegenerative Diseases
- Gaze Tracking and Assistive Technology
- Microbial Metabolic Engineering and Bioproduction
- Neural Networks and Applications
- Hemodynamic Monitoring and Therapy
- Epilepsy research and treatment
- COVID-19 epidemiological studies
- Traumatic Brain Injury Research
- Neurological disorders and treatments
- Optical Imaging and Spectroscopy Techniques
- Respiratory Support and Mechanisms
- Sepsis Diagnosis and Treatment
- Neural and Behavioral Psychology Studies
- ATP Synthase and ATPases Research
- Advanced Statistical Methods and Models
- Mitochondrial Function and Pathology
- Amyotrophic Lateral Sclerosis Research
University of Electronic Science and Technology of China
2015-2024
Cuban Neuroscience Center
2019-2024
Ministry of Education of the People's Republic of China
2016
Previous studies have indicated that gait rhythm fluctuations are useful for characterizing certain pathologies of neurodegenerative diseases such as Huntington's disease (HD), amyotrophic lateral sclerosis (ALS), and Parkinson's (PD). However, no previous study has investigated the properties frequency range distributions rhythms. Therefore, in our study, empirical mode decomposition was implemented decomposing time series rhythms into intrinsic functions from high-frequency component to...
This paper extends frequency domain quantitative electroencephalography (qEEG) methods pursuing higher sensitivity to detect Brain Developmental Disorders. Prior qEEG work lacked integration of cross-spectral information omitting important functional connectivity descriptors. Lack geographical diversity precluded accounting for site-specific variance, increasing nuisance variance. We ameliorate these weaknesses. (i) Create lifespan Riemannian multinational norms tensors. These result from...
Previous studies have revealed that gait rhythm fluctuations convey important information, which is useful for understanding certain types of neurodegenerative diseases such as Amyotrophic Lateral Sclerosis (ALS), Huntington's disease (HD) and Parkinson's (PD). However, previous investigations only focused on the locomotor patterns each individual foot rather than relations between both feet. Therefore, in our study, phase synchronization (the index ρ) conditional entropy (Hc) were applied...
In this brief communication, which complements the EEG reference review (Yao et al. in Brain Topogr, 2019), we provide mathematical derivations that show: (1) any admits general form of a linear transformation ideal multichannel potentials with to infinity; (2) average (AR), electrode standardization technique (REST), and its regularized version (rREST) are solving inverse problems can be derived from both maximum likelihood estimate (MLE) Bayesian theory; however, REST is based on more...
The severity of the pandemic and its consequences on health social care systems were quite diverse devastating. COVID-19 was associated with an increased risk neurological neuropsychiatric disorders after SARS-CoV-2 infection. We did a cross-sectional study 3 months post-COVID 178 Cuban subjects. Our has unique CUBAN cohort hospitalized patients healthy constructed latent variable for pre-health conditions (PHC) through Item Response Theory (IRT) symptoms (Post-COVID-NPS) Factor Analysis...
In this paper, we present a novel methodology to solve the classification problem, based on sparse (data-driven) regressions, combined with techniques for ensuring stability, especially useful high-dimensional datasets and small samples number. The sensitivity specificity of classifiers are assessed by stable ROC procedure, which uses non-parametric algorithm estimating area under curve. This method allows assessing performance technique, when more than two groups involved in i.e., gold...
Abstract Working memory (WM) encompasses crucial cognitive processes or abilities to retain and manipulate temporary information for immediate execution of complex tasks in daily functioning such as reasoning decision‐making. The WM individuals sustaining traumatic brain injury (TBI) was commonly compromised, especially the domain WM. current study investigated responses a group participants with mild–moderate TBI compared their healthy counterparts employing functional magnetic resonance...
Abstract Background The EEG constitutes a powerful neuroimaging technique for assessing functional brain impairment in COVID-19 patients. Objective current investigation compared the among survivors, close contacts and Cuban normative database, using semi-quantitative visual inspection, quantitative source density measures analysis. Methods resting-state activity, QEEG, VARETA inverse solution, were evaluated 173 subjects: 87 patients confirmed cases by positive reverse transcription...
Abstract The quantitative electroencephalogram (qEEG) is a diagnostic method based on the spectral features of resting state EEG. departure from normality gauged by z transform with respect to age-adjusted mean and deviation normative databases – known as developmental equations/surfaces. However, extent which data collected different countries various equipment require separate equations remains unanswered. Here, we analyzed EEG 535 subjects 3 countries, Switzerland, USA Cuba. power spectra...
The electrophysiological source imagine reconstruction is sensitive to the head model construction, which depends on accuracy of anatomical landmarks locations knowns as fiducials. This work describes how perform automatic fiducials detection, towards development an application for electrodes placement (digitization), over a three-dimensional surface subject head, scanned with Occipital Inc. structure sensor ST01. We offer wide description proposed algorithm explore object features by means...
Abstract This paper extends our frequency domain quantitative electroencephalography (qEEG) methods pursuing higher sensitivity to detect Brain Developmental Disorders. Prior qEEG work lacked integration of cross-spectral information omitting important functional connectivity descriptors. Lack geographical diversity precluded accounting for site-specific variance, increasing nuisance variance. We ameliorate these weaknesses. i) Create lifespan Hermitian Riemannian multinational norms...
The reconstruction of electrophysiological sources within the brain is sensitive to constructed head model, which depends on positioning accuracy anatomical landmarks known as fiducials. In this work, we propose an algorithm for automatic detection fiducial EEG electrodes 3D human model. Our proposal combines a dimensional reduction approach with perspective projection from 2D object space; eye and ear in face image by two cascades classifiers geometric transformations obtain spatial...
<p>Identifying the connectivity of functional networks underpinning undirectly observed phenomena for neurosciences or other fields poses a Bayesian inverse-problem. Electromagnetic (EEG MEG) inverse-solutions unveil cortical oscillatory that strongly correlate to brain function with spectral transparency no in vivo neuroimage may provide. Simulations such an inverse-problem also reveal distortions determined by most common state-of-the-art solutions. We disclose origin and remedy them...