People

Chao Wang
PhD Student
wangchao@ufl.edu

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Amy Trongnetrpunya
PhD Student
amy.tro@ufl.edu

Education
B.S. in Biomedical Engineering, Boston University, 2007

Research
Disorders of emotions contribute to variety of psychiatric disorders, often with devastating results. Therefore, understanding the functional neural mechanisms of the brain networks underlying emotional processing is needed for advancing diagnostic assessment and clinical intervention. My work aims to characterize the temporal dynamics and directionality of neural interactions mediating emotional processing using subdural electrophysiological signals (ECoG) recorded from patients undergoing epileptic surgery. Such studies have long-term implications for mental health, where widespread breakdown in mental health result in a variety of psychiatric disorders such as schizophrenia, depression, fear, and anxiety.

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Immanuel Babu Henry Samuel
PhD Student
immanuel@ufl.edu

Education
B.E. in Biomedical Engineering, College of Engineering Guindy, Anna University, Chennai, India

Research
Identifying the neural sources involved in omitted stimuli processing using simultaneous EEG-fMRI. This research will help us understand how the brain handles the absence of predicted temporal events. Understanding the brain’s acute compensatory mechanism during externally induced cognitive deficit. 
This can propel advances in neurorestorative therapies for various diseases leading to cognitive impairment.

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Wan Lu
PhD Student
lwan2011@ufl.edu

Education
B.S. in Photoelectric Engineering from the Ocean University of China, 2011
M.S. in Electrical Engineering from the University of Florida, 2013

Research
Function and connectivity of the human brain, brain-to-brain coupling, signal and image processing

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Lam Ngoc
Undergraduate Student

Research
Understanding the relationship between attention and visual processing is important in visual perception and awareness in environmental interactions. In my research, I analyze subdural electrophysiological signals (ECoG) that were recorded during a feature attention task performed by patients undergoing epilepsy surgery. By looking at ERP and time frequency activation, visual processes in the brain are studied and relationships are examined. In addition, I also study concepts in cognitive reserve. 

Haiqing Huang
PhD Student
basketballmouse@ufl.edu

Education
BS 2007 Biomedical Engineering Southeast University
MS 2007 Biomedical Engineering Southeast University

Research
My research interests mainly focus on functional and structural connectivity analysis of multimodal neuroimaging data to study human brain function. Currently, we use functional MRI (Magnetic Resonance Imaging) and DTI (Diffusion Tensor Imaging) to investigate: 1) relationship between functional and structural connectivity; 2) mechanism of cognitive decline in MCI (Mild Cognitive Impairment); and 3) alteration of functional and structural connectivity in PD (Parkinson’s disease).

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Daesung Kang
PhD Student
mpkds@ufl.edu

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Abhijit Rajan
PhD Student
abhi.rajan@ufl.edu

Education
B.E. in Biomedical Engineering, Anna University, Chennai, India

Research
Studying the networks of the brain involved in top-down control of feature (color) and spatial attention using EEG fMRI simultaneous recording. It’s been found that the frontoparietal network sends control signals to process the relevant spatial and feature information. This research aims to find the specific areas of the brain involved in these two processes using EEG, fMRI activation, and connectivity analysis. This research will give us more understanding about how we filter irrelevant information from our surroundings to carry out selective attention.

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Bartsch Felix
Undergraduate Student

Research
Studies have shown that processing of affective stimuli is not achieved through a single processing pathway, but rather a series of feedback loops between multiple brain regions. My research investigates connectivity and directionality of signaling between temporal and frontal lobe regions during affective picture processing in humans using Electrocortigography.

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