A5102716580- Functional Brain Connectivity Studies
- Neural dynamics and brain function
- Advanced MRI Techniques and Applications
- EEG and Brain-Computer Interfaces
- Spectroscopy and Chemometric Analyses
- Advanced Image Processing Techniques
- Advanced Memory and Neural Computing
- Blind Source Separation Techniques
- Child Nutrition and Water Access
- Neural and Behavioral Psychology Studies
- Infant Development and Preterm Care
- Spatial Neglect and Hemispheric Dysfunction
- Nanomaterials for catalytic reactions
- Child Nutrition and Feeding Issues
- Neurological disorders and treatments
- Advanced Chemical Sensor Technologies
- Parkinson's Disease Mechanisms and Treatments
- Electrochemical Analysis and Applications
- Advanced Nanomaterials in Catalysis
- Postharvest Quality and Shelf Life Management
- Sparse and Compressive Sensing Techniques
- Neuroscience and Neural Engineering
- Image and Signal Denoising Methods
University of Electronic Science and Technology of China
2019-2024
University of California, Los Angeles
2021
Superior University
2017
We present CiftiStorm, an electrophysiological source imaging (ESI) pipeline incorporating recently developed methods to improve forward and inverse solutions. The CiftiStorm produces Human Connectome Project (HCP) megconnectome-compliant outputs from dataset inputs with varying degrees of spatial resolution. input data can range low-sensor-density electroencephalogram (EEG) or magnetoencephalogram (MEG) recordings without structural magnetic resonance (sMRI) high-density EEG/MEG HCP...
Abstract Objective. Brain–computer interfaces (BCIs) translate neural activity into control signals for assistive devices in order to help people with motor disabilities communicate effectively. In this work, we introduce a new BCI architecture that improves of computer cursor type on virtual keyboard. Approach. Our incorporates an external artificial intelligence (AI) beneficially augments the movement trajectories BCI. This AI-BCI leverages past user actions, at both long (100 s seconds...
Precise individualized EEG source localization is predicated on having accurate subject-specific Lead Fields (LFs) obtained from their Magnetic Resonance Images (MRI). LF calculation a complex process involving several error-prone steps that start with obtaining realistic head model the MRI and finalizing computationally expensive solvers such as Boundary Element Method (BEM) or Finite (FEM). Current Big-Data applications require of batches hundreds thousands LFs. LF. Quality Control...
<p>Extracting cortical features, which are the most relevant at characterizing structure and function for normal or abnormal brain conditions, would greatly benefit from multimodal neuroimage processing following surface-based style. This style recognizes natural definition space such features due to layered (surface-based) Cortex structural functional organization. It may therefore be more sensitive specific than former volume-based The Human Connectome Project (HCP) pipelines render...
Objective This study compares the complementary information from semi-quantitative EEG (sqEEG) and spectral quantitative (spectral-qEEG) to detect life-long effects of early childhood malnutrition on brain. Methods Resting-state EEGs ( N = 202) Barbados Nutrition Study (BNS) were used examine protein-energy (PEM) middle adulthood outcomes. sqEEG analysis was performed Grand Total (GTE) protocol, a single latent variable, Neurophysiological State (sqNPS) extracted. A univariate linear...
Finding the common principal component (CPC) for ultra-high dimensional data is a multivariate technique used to discover latent structure of covariance matrices shared variables measured in two or more k conditions. Common eigenvectors are assumed matrix all conditions, only eigenvalues being specific each condition. Stepwise CPC computes limited number these CPCs, as name indicates, sequentially and is, therefore, less time-consuming. This method becomes unfeasible when p since storing...
Abstract In the resting state (closed or open eyes) electroencephalogram (EEG) and magnetoencephalogram (MEG) exhibit rhythmic brain activity is typically 10 Hz alpha rhythm. It has a topographic frequency spectral distribution that is, quite similar for both modalities--something not surprising since EEG MEG are generated by same basic oscillations in thalamocortical circuitry. However, different physical aspects underpin two types of signals. Does this difference lead to reconstructed...
Abstract In this study, we want to explore evidence for the causal relationship between anatomical descriptors of cingulate cortex (surface area, mean curvature‐corrected thickness, and volume) performance cognitive tasks such as Card Sort, Flanker, List Sort used instruments measure executive functions flexibility, inhibitory control, working memory. We have performed analysis in a cross‐sectional sample 899 healthy young subjects Human Connectome Project. To best our knowledge, is first...
Magnetic Resonance Imaging (MRI) is a widely used medical imaging technique. It has many different applications that ranges from manual diagnosis process by experts to automated disease predictions. Sparsity of MRI helped researchers in generating rapid images highly under-sampled signals. Moreover, it being reduce input feature set for various learning algorithms. Traditionally implemented techniques use transform domains sparsity MRI. This paper presents novel technique improving MR using...
<p>Extracting cortical features, which are the most relevant at characterizing structure and function for normal or abnormal brain conditions, would greatly benefit from multimodal neuroimage processing following surface-based style. This style recognizes natural definition space such features due to layered (surface-based) Cortex structural functional organization. It may therefore be more sensitive specific than former volume-based The Human Connectome Project (HCP) pipelines render...