A5076636028- Neural dynamics and brain function
- Functional Brain Connectivity Studies
- Molecular Communication and Nanonetworks
- Neuroscience and Neuropharmacology Research
- Advanced MRI Techniques and Applications
- Memory and Neural Mechanisms
- Optical Imaging and Spectroscopy Techniques
- Advanced Neuroimaging Techniques and Applications
- MRI in cancer diagnosis
- Zebrafish Biomedical Research Applications
- Electrochemical Analysis and Applications
- Photoacoustic and Ultrasonic Imaging
- Traumatic Brain Injury and Neurovascular Disturbances
- Glioma Diagnosis and Treatment
- Advanced Fluorescence Microscopy Techniques
- Photoreceptor and optogenetics research
- Advanced biosensing and bioanalysis techniques
- Cell Image Analysis Techniques
- Spaceflight effects on biology
Stanford University
2018-2024
Allen Institute for Brain Science
2024
Columbia University
2024
Johns Hopkins University
2013-2019
Johns Hopkins Medicine
2017-2019
Bioengineering Center
2018
Abstract Neurovascular coupling, cerebrovascular remodeling and hemodynamic changes are critical to brain function, dysregulated in neuropathologies such as tumors. Interrogating these phenomena freely behaving animals requires a portable microscope with multiple optical contrast mechanisms. Therefore, we developed miniaturized with: fluorescence (FL) channel for imaging neural activity (e.g., GCaMP) or fluorescent cancer cells 9L-GFP); an intrinsic signal (IOS) hemoglobin absorption (i.e.,...
One goal of computational anatomy (CA) is to develop tools accurately segment brain structures in healthy and diseased subjects. In this paper, we examine the performance complexity such segmentation framework large deformation diffeomorphic metric mapping (LDDMM) registration method with reference atlases parameters. First report application a multi-atlas approach define basal ganglia kids' brains. The accuracy compared single atlas LDDMM implementation two state-of-the-art...
Brain tumor patients often experience functional deficits that extend beyond the site. While resting-state MRI (rsfMRI) has been used to map such connectivity changes in brain patients, interplay between abnormal vasculature and rsfMRI signal is still not well understood. Therefore, there an exigent need for new tools elucidate how blood‑oxygenation-level-dependent (BOLD) modulated cancer. In this initial study, we explore utility of a preclinical model quantifying tumor-induced on...
Abstract The convergence of advanced single‐cell in vivo functional imaging techniques, computational modelling tools and graph‐based network analytics has heralded new opportunities to study dynamics across large‐scale networks, providing novel insights into principles brain communication pointing towards potential strategies for treating neurological disorders. A major recent finding been the identification unusually richly connected hub cells that have capacity synchronize networks may...
Tissue-engineered scaffolds are a powerful means of healing craniofacial bone defects arising from trauma or disease. Murine models critical-sized especially useful in understanding the role microenvironmental factors such as vascularization on regeneration. Here, we demonstrate capability novel multimodality imaging platform capable acquiring vivo images microvascular architecture, blood flow, and tracer/cell tracking via intrinsic optical signaling (IOS), laser speckle contrast (LSC),...
Abstract Neurological and psychiatric disorders are associated with pathological neural dynamics. The fundamental connectivity patterns of cell-cell communication networks that enable dynamics to emerge remain unknown. We studied epileptic circuits using a newly developed integrated computational pipeline applied cellular resolution functional imaging data. Control preseizure in larval zebrafish chronically mice were captured large-scale cellular-resolution calcium imaging. Biologically...
Neurological and psychiatric disorders are associated with pathological neural dynamics. The fundamental connectivity patterns of cell-cell communication networks that enable dynamics to emerge remain unknown. We studied epileptic circuits using a newly developed integrated computational pipeline. Control preseizure in larval zebrafish chronically mice were captured large-scale cellular-resolution calcium imaging. Biologically constrained effective modeling extracted the underlying network....
Different brain regions exhibit complex information processing even at rest. Therefore, assessing temporal correlations between permits task-free visualization of their 'resting state connectivity'. Although functional MRI (fMRI) is widely used for mapping resting connectivity in the human brain, it not well suited 'microvascular scale' imaging rodents because its limited spatial resolution. Moreover, co-registered cerebral blood flow (CBF) and total hemoglobin (HbT) data are often...
Abstract Dendritic size and branching patterns are important features of neural form function. However, current computational models neuronal networks use simplistic cylindrical geometries to mimic dendritic arborizations. One reason for this is that methods generate trees have rigid a priori constraints. To address this, deep convolutional generative adversarial network (DCGAN) trained on images rodent hippocampal granule pyramidal trees. Image learned by the were used realistic...
Summary Memory consolidation assimilates recent experiences into long-term memory. This process requires the replay of learned sequences, though content these sequences remains controversial. Recent work has shown that statistics deviate from those experience: stimuli which are experientially salient may be either selected or suppressed. We find this phenomenon can explained parsimoniously and biologically plausibly by a Hebbian spike time-dependent plasticity rule at inhibitory synapses....
Abstract Large-scale computational models of the brain are necessary to accurately represent anatomical and functional variability in neuronal biophysics across regions also capture study local global interactions between populations on a behaviorally-relevant temporal scale. We present methodology behind an initial implementation novel open-source framework for construction, simulation, analysis consisting millions neurons high-performance computing systems, based NEURON CoreNEURON...