A5084280980- Functional Brain Connectivity Studies
- Advanced Neuroimaging Techniques and Applications
- Advanced MRI Techniques and Applications
- Long-Term Effects of COVID-19
- Neural dynamics and brain function
- Traumatic Brain Injury Research
- Thermal Regulation in Medicine
- Psychosomatic Disorders and Their Treatments
- Mental Health Research Topics
- Noise Effects and Management
- Neurological and metabolic disorders
- Nonlinear Dynamics and Pattern Formation
- Peripheral Nerve Disorders
- Infectious Encephalopathies and Encephalitis
- Multiple Sclerosis Research Studies
- Intensive Care Unit Cognitive Disorders
- Image and Video Quality Assessment
- Fetal and Pediatric Neurological Disorders
- Risk Perception and Management
- COVID-19 and Mental Health
- Visual perception and processing mechanisms
- Vestibular and auditory disorders
- Olfactory and Sensory Function Studies
- Neonatal and fetal brain pathology
- Cervical and Thoracic Myelopathy
National Institute of Biomedical Imaging and Bioengineering
2023-2024
New Jersey Institute of Technology
2021-2024
Rutgers, The State University of New Jersey
2021
Rutgers Health
2021
Among systemic abnormalities caused by the novel coronavirus, little is known about critical attack on central nervous system (CNS). Few studies have shown cerebrovascular pathologies that indicate CNS involvement in acute patients. However, replication are necessary to verify if these effects persist COVID-19 survivors more conclusively. Furthermore, recent fatigue highly prevalent among 'long-COVID' How morphometry each group relate work-related need be investigated. COVID were MRI scanned...
Since 2015, US government and related personnel have reported dizziness, pain, visual problems, cognitive dysfunction after experiencing intrusive sounds head pressure. The has labeled these anomalous health incidents (AHIs).
Quantitative magnetic resonance imaging (MRI) metrics could be used in personalized medicine to assess individuals against normative distributions. Conventional Zscore analysis is inadequate the presence of non-Gaussian Therefore, if quantitative MRI deviate from normality, an alternative needed.
Although brain research has taken important strides in recent decades, the interaction and coupling of its different physiological levels is still not elucidated. Specifically, molecular substrates resting-state functional connectivity (rs-FC) remain poorly understood. The aim this study was elucidating interactions between dopamine D2 receptors (D2R) serotonin transporter (SERT) availabilities striatum (CPu) medial prefrontal cortex (mPFC), two main dopaminergic serotonergic projection...
Functional connectivity (FC) and resting-state network (RSN) analyses using functional magnetic resonance imaging (fMRI) have evolved into a growing field of research provided useful biomarkers for the assessment brain function in neurological disorders. However, underlying mechanisms blood oxygen level-dependant (BOLD) signal are not fully resolved due to its inherent complexity. In contrast, [18F]fluorodeoxyglucose positron emission tomography ([18F]FDG-PET) has been shown provide more...
The Coronavirus Disease 2019 (COVID-19) has affected all aspects of life around the world. Neuroimaging evidence suggests novel coronavirus can attack central nervous system (CNS), causing cerebro-vascular abnormalities in brain. This lead to focal changes cerebral blood flow and metabolic oxygen consumption rate However, extent spatial locations brain alterations COVID-19 survivors are largely unknown. In this study, we have assessed functional connectivity (FC) using resting-state MRI...
Most fMRI inferences are based on analyzing the scans of a cohort. Thus, individual variability subject is often overlooked in these studies. Recently, there has been growing interest differences brain connectivity also known as connectome. Various studies have demonstrated specific component functional (FC), which enormous potential to identify participants across consecutive testing sessions. Many machine learning and dictionary learning-based approaches used extract subject-specific...
Iron deficiency, a common form of micronutrient primarily affects children and women. The principal cause iron deficiency is undernutrition in low-income countries malnutrition middle to upper income regions. key element for myelin production, neuronal metabolism, dopamine functions. early life can alter brain development exert long-lasting effects. Control inhibition an executive function that involves several regions, including the prefrontal cortex caudate sub-thalamic nuclei. Dopamine...
We propose a novel quantity to correctly assess the extent individuals deviate from median of heavy-tailed distribution. compute percentile-based score, we call ‘P-score’, which normalizes deviation an individual sample by incorporating individual’s position in left/right tail distribution and corresponding length between 5th/95th percentile edge values distribution, respectively. demonstrate skewness present diffusion MRI data bias introduced when Z-scores are used further show control this...
Abstract Background Among systemic abnormalities caused by the novel coronavirus, little is known about critical attack on central nervous system (CNS). Few studies have shown cerebrovascular pathologies that indicate CNS involvement in acute patients. However, replication are necessary to verify if these effects persist COVID-19 survivors more conclusively. Furthermore, recent fatigue highly prevalent among ‘long-COVID’ How morphometry each group relate work-related need be investigated....
Abstract Understanding the complex workings of brain is one most significant challenges in neuroscience, providing insights into healthy brain, diseases, and effects potential therapeutics. A major challenge this field limitations traditional imaging techniques, which often deliver only a part puzzle function. Our research employs novel approach named “Molecular Connectivity” (MC), merges strengths various methods to offer comprehensive view how molecules interact within affect its This...
Motivation: Conventional methods like Zscores are often used to evaluate individual patients against a normative distribution. This can lead biased estimations when distributions skewed. We showed this in pilot study using 48 controls and proposed novel metric - 'Pscore', address bias. aimed reproduce these results systematically larger dataset. Goal(s): Validate the 'Pscore' approach on large-scale high resolution neuroimaging Approach: Diffusion MRI data from Human Connectome Project (HCP)...
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ABSTRACT The increasing number of reports mild to severe psychological, behavioral, and cognitive sequelae in COVID-19 survivors motivates a need for thorough assessment the neurological effects disease. In this regard, we have conducted neuroimaging study understand neurotropic behavior coronavirus. We hypothesize that COVID recovered subjects developed alterations brain which can be measured through susceptibility differences various regions when compared healthy controls (HCs). Hence...
Abstract The molecular substrate of resting-state functional connectivity (rs-FC) remains poorly understood. We aimed to elucidate interactions dopamine D2 receptor (D2R) and serotonin transporter (SERT) availabilities in main dopaminergic serotonergic projection areas with the default-mode network (DMN) two other networks (RSNs), salience (SN) sensorimotor (SMN). performed simultaneous PET/fMRI scans rats using [ 11 C]raclopride C]DASB image D2R SERT distributions, showing for first time...
Quantitative MRI metrics could be used in personalized medicine to assess individuals against normative distributions. Conventional Zscore analysis is inadequate the presence of non-Gaussian Therefore, if quantitative deviate from normality, an alternative needed.
Abstract Amplitude of low-frequency fluctuations (ALFF) is defined as changes BOLD signal during resting state (RS) brain activity. Previous studies identified differences in RS activation between healthy and multiple sclerosis (MS) participants. However, no research has investigated the relationship ALFF learning MS. We thus examine this here. Twenty-five MS 19 participants performed a paired-associate word task where were presented with extrinsic or intrinsic performance feedback. Compared...