Browsing by Author "Deshpande, Gopikrishna"

Now showing items 1-19 of 19

The Application of Data Mining and Machine Learning in the Diagnosis of Mental Disorders

Syed, Mohammed (2017-07-28)

Autism is a developmental disorder that is currently diagnosed using behavioral tests which can be subjective. Consequently, objective non-invasive imaging biomarkers of Autism are being actively researched. The common ...

Applications of Unsupervised Clustering in Functional Magnetic Resonance Imaging

Zhao, Xinyu (2016-12-12)

Functional Magnetic resonance imaging (fMRI) is a noninvasive neuroimaging technique that measures brain activity by detecting changes associated with blood flow. This technique has been widely used in radiology, biomedical ...

Blind source separation methods for analysis and fusion of Multimodal brain imaging data

Kyathanahally, Sreenath Pruthviraj (2013-07-10)

With the advent of functional magnetic resonance imaging (fMRI), several studies have emerged to decipher the functioning of the brain. However, three major issues limit the inferences that one could obtain from the brain ...

Challenges in Resting State Functional Connectivity Analysis: Removal of Head Motion Artifacts and Machine Learning-based Disease Classification

Lanka, Pradyumna (2017-01-11)

In recent years, the use of resting-state functional Magnetic Resonance Imaging (rs-fMRI) for examining the brain function in healthy and clinical populations has increased drastically. Simultaneous modulations in neural ...

Connectivity analysis of functional MRI data in the latent neuronal space: Applications in science and medicine

Sreenivasan, Karthik Ramakrishnan (2014-04-25)

Since the inception of functional magnetic resonance imaging (fMRI) there has been a steady growth in the number of studies utilizing this non-invasive method to gain insights into the brain function in both healthy and ...

Connectivity Based Characterization of Brain Function in Humans and Dogs

Zhao, Sinan (2017-11-30)

Functional magnetic resonance imaging (fMRI) has been widely used to infer brain function in both healthy and clinical populations. Here, we propose novel approaches for connectivity based characterization in both humans ...

Designing an Anisotropic Noise Filter for Measuring Critical Dimension and Line Edge Roughness from SEM Images

Ji, Hyesung (2018-04-23)

The scanning electron microscope (SEM) is often employed in inspecting patterns transferred through a lithographic process. A typical inspection is to measure the critical dimension (CD) and line edge roughness (LER) of ...

Efficacy of Price Interventions for Mitigating Childhood Obesity by Promoting Healthy Food Choices: An fMRI Study in Parents with Low Socioeconomic Status

Zou, Hao (2016-12-07)

Childhood obesity has been a rising problem among rural and low income populations. Childhood obesity increases the risk of various diseases later in life. Government has tried several price interventions such as lowering ...

An Experimental Investigation of the Neural Correlates of the Acquired Capability for Suicide

Willis, John (2017-07-27)

The high rate of fatal suicide attempts in men is a pressing issue as highlighted in the public conscious. The interpersonal–psychological theory of suicide has offered an explanation for the difference in suicidal behavior ...

Interpretable Deep Learning for Diagnosis of Human Brain Disorders using Neuroimaging

Masood, Janzaib (2020-11-17)

Deep neural networks are increasingly being used in neuroimaging research for the diagnosis of brain disorders and understanding of human brain. They are complex data driven systems that work in a black-box fashion once ...

Investigating Brain Function using Functional MRI-based Meta-analysis and Diffusion Tensor Imaging

Baxi, Madhura (2015-05-04)

The investigation of structure and function in biological systems, specifically the brain, is paramount given the close relationship that they share with each other. Functional magnetic resonance imaging (fMRI) and Diffusion ...

Layer-Specific Connectivity Analysis with High-Resolution Functional MRI in Human Brain

Wang, Yun (2016-12-09)

Functional magnetic resonance imaging (fMRI) has been increasingly used for understanding the human brain connectome. In this work, we utilized high-resolution fMRI to investigate the sensitivity of layer-specific connectivity ...

Neural correlates of emotions in dogs

Gotoor, Sai Sheshan Roy (2018-04-24)

Dogs are considered to be man’s best friend; they share a close and intense relationship with humans and have shown to excel in reading human social cues, including facial cues. Due to this intimate relationship shared ...

Novel Experimental and Analysis Paradigms for Neuroimaging

Yan, wenjing (2017-07-25)

Functional magnetic resonance imaging (fMRI) technique uses the blood-oxygen-level-dependent (BOLD) contrast to detect associated changes in blood flow. The BOLD signal is temporal correlated with cerebral electrophysiological ...

Quantification Techniques for Arterial Blood Flow and the Left Atrium

Jha, Nikhil (2014-07-29)

Cardiovascular dysfunction is a major cause of morbidity and mortally. As such, the characterization of the heart and surrounding vessels has a high clinical significance. The advent of cardiac magnetic resonance imaging ...

Social Avoidance in Volatile Environments: An Empirical Evaluation of Behavioral Flexibility and Relapse Following Social Exclusion

Ritchey, Carolyn (2024-04-26)

Resurgence is a relapse phenomenon comprised of the return of a previously reinforced target response (e.g., social avoidance) when conditions worsen for a more recently reinforced alternative response (e.g., approaching ...