A5017577893- Functional Brain Connectivity Studies
- EEG and Brain-Computer Interfaces
- Neural dynamics and brain function
- Neural and Behavioral Psychology Studies
- Advanced MRI Techniques and Applications
- Graphene and Nanomaterials Applications
- Face Recognition and Perception
- Gaze Tracking and Assistive Technology
- Cognitive Science and Education Research
- Neural Networks and Applications
- Nanoparticle-Based Drug Delivery
- Algorithms and Data Compression
- Advanced Image and Video Retrieval Techniques
- Thermal properties of materials
- Transcranial Magnetic Stimulation Studies
- 2D Materials and Applications
- Blind Source Separation Techniques
- Glaucoma and retinal disorders
- Nanopore and Nanochannel Transport Studies
- MXene and MAX Phase Materials
- Color perception and design
- Cognitive Science and Mapping
- Speech and Audio Processing
- Advanced Data Compression Techniques
- Advanced biosensing and bioanalysis techniques
Columbia University
2014-2025
IBM Research - Thomas J. Watson Research Center
2016-2017
Beijing University of Posts and Telecommunications
2009
Pupillary measures have been linked to arousal and attention as well activity in the brainstem's locus coeruleus norepinephrine (LC-NE) system. Similarly, there is evidence that evoked EEG responses, such P3, might LC-NE their basis. Since it not feasible record electrophysiological data directly from LC humans due its location brainstem, an open question has whether pupillary variability can be a meaningful way shed light on nature of role arousal. We used auditory oddball task with...
The interface between processing internal goals and salient events in the environment involves various top-down processes. Previous studies have identified multiple brain areas for salience processing, including network (SN), dorsal attention network, locus coeruleus-norepinephrine (LC-NE) system. However, interactions among these systems remain unclear. Here, we simultaneously recorded pupillometry, EEG, fMRI during an auditory oddball paradigm. analyses of EEG data uncovered...
Recent reports of mono- and few-layer molybdenum disulfide (MoS2), a representative transition metal dichacogenide (TMD), as antibacterial anticancer agents have shed light on their potential in biomedical applications. To better facilitate these promising applications, one needs to understand the biological effects TMDs well, such adverse protein structure function. Here, we sought interaction MoS2 nanosheets with peptides using molecular dynamics simulations simple model polyalanine...
Abstract Phosphorene, a newly fabricated two-dimensional (2D) nanomaterial, has emerged as promising material for biomedical applications with great potential. Nonetheless, understanding the wetting and diffusive properties of bio-fluids on phosphorene which are fundamental importance to these remains elusive. In this work, using molecular dynamics (MD) simulations, we investigated structural dynamic water both pristine strained phosphorene. Our simulations indicate that diffusion molecules...
Objective: The concurrent recording of electroencephalography (EEG) and functional magnetic resonance imaging (fMRI) is a technique that has received much attention due to its potential for combined high temporal spatial resolution. However, the ballistocardiogram (BCG), large-amplitude artifact caused by cardiac induced movement contaminates EEG during EEG-fMRI recordings. Removal BCG in software generally made use linear decompositions corrupted EEG. This not ideal as signal propagates...
The presence of both sp1- and sp2-hybridized carbon atoms in graphyne (GY), a nanomaterial resembling the 2D graphene, has led researchers to speculate possible outstanding properties this material. Recent studies have also been successful synthesizing derivatives GY, such as graphdiyne (GY-2), which holds promises various applications, notably biomedicine. In anticipation synthesis wide applications GY novel near future, we utilized silico molecular modeling examine predict material's...
Transcranial magnetic stimulation (TMS) over the left dorsolateral prefrontal cortex (L-DLPFC) is an established intervention for treatment-resistant depression (TRD), yet underlying therapeutic mechanisms remain not fully understood. This study employs integrative approach that combines TMS with concurrent functional resonance imaging (fMRI) and electroencephalography (EEG), aimed at assessing acute/immediate effects of on brain network dynamics their correlation clinical outcomes. Our...
In order to get a balance of compression quality, ratio and time efficiency, we exploit JPEG_LS prediction context-based encoding, propose another linear run length code model. And give an innovative algorithm design evaluate the performance our proposed scheme. We present results using large number images compared with JPEG_LS. As result, schema obtains same increasing speed as much 150%-250%, at expense decreasing 20%-35%. Also has less computational complexity. So it can be included that...
There is increasing interest in how the pupil dynamics of eye reflect underlying cognitive processes and brain states. Problematic, however, that changes can be due to non-cognitive factors, for example luminance environment, accommodation movement. In this paper we consider by modeling response real-world environments capture related remove these extract a residual signal which better index cognition performance. Specifically, utilize sequence measures such as fixation position, duration,...
Abstract Attention reorienting is a critical cognitive function which drives how we respond to novel and unexpected stimuli. In recent years, arousal has been linked attention reorienting. The timing spatial organization of the interactions between systems, however, remain only partially revealed. Here, investigate dynamics two systems through simultaneous recordings pupillometry, EEG, fMRI healthy human subjects while they performed an auditory target detection task. We used pupil diameter...
Motivated by the reported out performance in fingerprint recognition thesises of PCA ICA linear case where only a single factor is allowed to vary, and outperformance FET when multiple factors are it natural ask whether there multilinear generalization if its better than other two methods. In this paper, We have presented algebraic framework for image recognition, which employs tensor (N-mode) extension conventional matrix SVD. also introduced projection algorithm projects an unlabeled test...
One of the two major axes for operationalizing emotion is arousal. While valence accounts positive or negative degree a certain emotional state, arousal refers to intensity such state. The locus coeruleus (LC), small nucleus situated in brainstem, one key subcortical structures which plays central role regulating global In recent years, pupil diameter under constant luminance has also emerged as widely used marker index This study demonstrates how interactions between cortical processes and...
Abstract The processing of salient stimuli involves a wide range both bottom-up and top-down processes. Previous neuroimaging studies have identified multiple brain areas networks for salience processing, including the network (SN), dorsal attention (DAN), locus coeruleus-norepinephrine (LC-NE) neuromodulatory system. However, interactions among these cortico-subcortical systems in remain unclear. Here, we simultaneously recorded pupillometry, electroencephalogram (EEG), functional magnetic...
By combining hyperscan fMRI (hfMRI) and the facial action coding system (FACS), we introduce a new brain-behavior interaction analysis that can identify underlying brain networks for perception expression different emotions during eye contact. It consists of three steps. 1) The affective muscle movements are encoded by units (FAU) using FACS. 2) specific emotional FAUs subserve regressors univariant on hfMRI data. 3) brains’ activation maps transformed into multivariant analysis. provides an...
Abstract Objective. Sensorimotor decisions require the brain to process external information and combine it with relevant knowledge prior actions. In this study, we explore neural predictors of motor actions in a novel, realistic driving task designed study while driving. Approach. Through spatiospectral assessment functional connectivity during premotor period, identified organization visual cortex regions interest into distinct scene processing network. Additionally, action selection...
Simultaneously recorded electroencephalography (EEG) and functional magnetic resonance imaging (fMRI) can be used to non-invasively measure the spatiotemporal dynamics of human brain. One challenge is dealing with artifacts that each modality introduces into other when two are concurrently, for example ballistocardiogram (BCG). We conducted a preliminary comparison three different MR compatible EEG recording systems assessed their performance in terms single-trial classification...