The Experts below are selected from a list of 75 Experts worldwide ranked by ideXlab platform
Markita P Landry - One of the best experts on this subject based on the ideXlab platform.
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stochastic simulation of dopamine neuromodulation for implementation of fluorescent Neurochemical probes in the striatal extracellular space
ACS Chemical Neuroscience, 2017Co-Authors: Abraham G Beyene, Ian R Mcfarlane, Rebecca L Pinals, Markita P LandryAbstract:Imaging the dynamic behavior of neuromodulatory neurotransmitters in the extracelluar space that arise from individual quantal release events would constitute a major advance in Neurochemical Imaging. Spatial and temporal resolution of these highly stochastic neuromodulatory events requires concurrent advances in the chemical development of optical nanosensors selective for neuromodulators in concert with advances in Imaging methodologies to capture millisecond neurotransmitter release. Herein, we develop and implement a stochastic model to describe dopamine dynamics in the extracellular space (ECS) of the brain dorsal striatum to guide the design and implementation of fluorescent Neurochemical probes that record neurotransmitter dynamics in the ECS. Our model is developed from first-principles and simulates release, diffusion, and reuptake of dopamine in a 3D simulation volume of striatal tissue. We find that in vivo Imaging of neuromodulation requires simultaneous optimization of dopamine nanosensor rev...
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stochastic simulation of dopamine neuromodulation for implementation of fluorescent Neurochemical probes in the striatal extracellular space
bioRxiv, 2017Co-Authors: Abraham G Beyene, Ian R Mcfarlane, Rebecca L Pinals, Markita P LandryAbstract:Imaging the dynamic behavior of neuromodulatory neurotransmitters in the extracelluar space arising from individual quantal releases would constitute a major advance in Neurochemical Imaging. Spatial and temporal resolution of these highly stochastic neuromodulatory events requires concurrent advances in the chemical development of optical nanosensors selective for neuromodulators in concert with advances in Imaging methodologies to capture millisecond neurotransmitter release. Herein, we develop and implement a stochastic model to describe dopamine dynamics in the extracellular space (ECS) of the brain dorsal striatum. Our model is developed from first principles and simulates release, diffusion, and reuptake of dopamine in a 3D simulation volume of striatal tissue. We find that in vivo Imaging of neuromodulation requires simultaneous optimization of dopamine nanosensor reversibility and sensitivity: dopamine Imaging in the striatum or nucleus accumbens requires nanosensors with an optimal dopamine dissociation constant (Kd) of 1 μM, whereas Kd above 10 μM are required for dopamine Imaging in the prefrontal cortex. Furthermore, our model reveals that Imaging frame rates of 20 Hz are optimal for Imaging temporally-resolved dopamine release events based on the probabilistic nature of dopaminergic terminal activity in the striatum. Our work provides a modeling platform to probe how complex neuromodulatory processes can be studied with fluorescent nanosensors and enables direct evaluation of nanosensor chemistry and Imaging hardware parameters. Our stochastic model is generic for evaluating fluorescent neurotransmission probes, and is broadly applicable to the design of other neurotransmitter fluorophores and their optimization for implementation in vivo.
Abraham G Beyene - One of the best experts on this subject based on the ideXlab platform.
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stochastic simulation of dopamine neuromodulation for implementation of fluorescent Neurochemical probes in the striatal extracellular space
ACS Chemical Neuroscience, 2017Co-Authors: Abraham G Beyene, Ian R Mcfarlane, Rebecca L Pinals, Markita P LandryAbstract:Imaging the dynamic behavior of neuromodulatory neurotransmitters in the extracelluar space that arise from individual quantal release events would constitute a major advance in Neurochemical Imaging. Spatial and temporal resolution of these highly stochastic neuromodulatory events requires concurrent advances in the chemical development of optical nanosensors selective for neuromodulators in concert with advances in Imaging methodologies to capture millisecond neurotransmitter release. Herein, we develop and implement a stochastic model to describe dopamine dynamics in the extracellular space (ECS) of the brain dorsal striatum to guide the design and implementation of fluorescent Neurochemical probes that record neurotransmitter dynamics in the ECS. Our model is developed from first-principles and simulates release, diffusion, and reuptake of dopamine in a 3D simulation volume of striatal tissue. We find that in vivo Imaging of neuromodulation requires simultaneous optimization of dopamine nanosensor rev...
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stochastic simulation of dopamine neuromodulation for implementation of fluorescent Neurochemical probes in the striatal extracellular space
bioRxiv, 2017Co-Authors: Abraham G Beyene, Ian R Mcfarlane, Rebecca L Pinals, Markita P LandryAbstract:Imaging the dynamic behavior of neuromodulatory neurotransmitters in the extracelluar space arising from individual quantal releases would constitute a major advance in Neurochemical Imaging. Spatial and temporal resolution of these highly stochastic neuromodulatory events requires concurrent advances in the chemical development of optical nanosensors selective for neuromodulators in concert with advances in Imaging methodologies to capture millisecond neurotransmitter release. Herein, we develop and implement a stochastic model to describe dopamine dynamics in the extracellular space (ECS) of the brain dorsal striatum. Our model is developed from first principles and simulates release, diffusion, and reuptake of dopamine in a 3D simulation volume of striatal tissue. We find that in vivo Imaging of neuromodulation requires simultaneous optimization of dopamine nanosensor reversibility and sensitivity: dopamine Imaging in the striatum or nucleus accumbens requires nanosensors with an optimal dopamine dissociation constant (Kd) of 1 μM, whereas Kd above 10 μM are required for dopamine Imaging in the prefrontal cortex. Furthermore, our model reveals that Imaging frame rates of 20 Hz are optimal for Imaging temporally-resolved dopamine release events based on the probabilistic nature of dopaminergic terminal activity in the striatum. Our work provides a modeling platform to probe how complex neuromodulatory processes can be studied with fluorescent nanosensors and enables direct evaluation of nanosensor chemistry and Imaging hardware parameters. Our stochastic model is generic for evaluating fluorescent neurotransmission probes, and is broadly applicable to the design of other neurotransmitter fluorophores and their optimization for implementation in vivo.
Nicolaas I Bohnen - One of the best experts on this subject based on the ideXlab platform.
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in vivo Neurochemical Imaging of olfactory dysfunction in parkinson s disease
Journal of Neural Transmission, 2013Co-Authors: Nicolaas I Bohnen, Martijn L T M MullerAbstract:Olfactory dysfunction is common in Parkinson’s disease (PD) and has been attributed to early deposition of α-synuclein pathology in olfactory areas. The pathophysiology of olfactory dysfunction in PD, however, remains poorly understood. Changes in odor identification suggest in part impairment in odor memory, possibly due to hippocampal dysfunction. Olfactory dysfunction occurs also in Alzheimer’s disease (AD) and increases with severity of dementia. Cholinergic degeneration is not only a feature of AD but can also occur in PD, at least in a subset of patients with cognitive changes. We reported previously that impaired odor identification in early PD is more closely correlated with hippocampal dopaminergic than nigrostriatal dopaminergic denervation. Results of our multi-tracer PET studies show that odor identification deficits in PD are best predicted by cholinergic denervation and to a lesser extent by dopaminergic denervation. These results suggest that olfactory dysfunction in PD may have multiple components including hippocampal dysfunction secondary to cholinergic and dopaminergic denervations. Olfactory dysfunction in PD may be the most marked in subjects at risk of incipient dementia, and may reflect the transition of PD toward a stage with more heterogeneous multi-system neurodegenerations. Our preliminary Imaging data do not support a significant contribution of amyloidopathy or serotoninergic denervation to abnormal olfactory functions in PD, at least in the absence of dementia. We outline how progressive changes in olfaction may be used as a biomarker of cholinergic denervation and cognitive decline in PD patients. We will discuss also the utility of olfactory testing as an early screening test for neurodegeneration.
Rebecca L Pinals - One of the best experts on this subject based on the ideXlab platform.
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stochastic simulation of dopamine neuromodulation for implementation of fluorescent Neurochemical probes in the striatal extracellular space
ACS Chemical Neuroscience, 2017Co-Authors: Abraham G Beyene, Ian R Mcfarlane, Rebecca L Pinals, Markita P LandryAbstract:Imaging the dynamic behavior of neuromodulatory neurotransmitters in the extracelluar space that arise from individual quantal release events would constitute a major advance in Neurochemical Imaging. Spatial and temporal resolution of these highly stochastic neuromodulatory events requires concurrent advances in the chemical development of optical nanosensors selective for neuromodulators in concert with advances in Imaging methodologies to capture millisecond neurotransmitter release. Herein, we develop and implement a stochastic model to describe dopamine dynamics in the extracellular space (ECS) of the brain dorsal striatum to guide the design and implementation of fluorescent Neurochemical probes that record neurotransmitter dynamics in the ECS. Our model is developed from first-principles and simulates release, diffusion, and reuptake of dopamine in a 3D simulation volume of striatal tissue. We find that in vivo Imaging of neuromodulation requires simultaneous optimization of dopamine nanosensor rev...
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stochastic simulation of dopamine neuromodulation for implementation of fluorescent Neurochemical probes in the striatal extracellular space
bioRxiv, 2017Co-Authors: Abraham G Beyene, Ian R Mcfarlane, Rebecca L Pinals, Markita P LandryAbstract:Imaging the dynamic behavior of neuromodulatory neurotransmitters in the extracelluar space arising from individual quantal releases would constitute a major advance in Neurochemical Imaging. Spatial and temporal resolution of these highly stochastic neuromodulatory events requires concurrent advances in the chemical development of optical nanosensors selective for neuromodulators in concert with advances in Imaging methodologies to capture millisecond neurotransmitter release. Herein, we develop and implement a stochastic model to describe dopamine dynamics in the extracellular space (ECS) of the brain dorsal striatum. Our model is developed from first principles and simulates release, diffusion, and reuptake of dopamine in a 3D simulation volume of striatal tissue. We find that in vivo Imaging of neuromodulation requires simultaneous optimization of dopamine nanosensor reversibility and sensitivity: dopamine Imaging in the striatum or nucleus accumbens requires nanosensors with an optimal dopamine dissociation constant (Kd) of 1 μM, whereas Kd above 10 μM are required for dopamine Imaging in the prefrontal cortex. Furthermore, our model reveals that Imaging frame rates of 20 Hz are optimal for Imaging temporally-resolved dopamine release events based on the probabilistic nature of dopaminergic terminal activity in the striatum. Our work provides a modeling platform to probe how complex neuromodulatory processes can be studied with fluorescent nanosensors and enables direct evaluation of nanosensor chemistry and Imaging hardware parameters. Our stochastic model is generic for evaluating fluorescent neurotransmission probes, and is broadly applicable to the design of other neurotransmitter fluorophores and their optimization for implementation in vivo.
Ian R Mcfarlane - One of the best experts on this subject based on the ideXlab platform.
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stochastic simulation of dopamine neuromodulation for implementation of fluorescent Neurochemical probes in the striatal extracellular space
ACS Chemical Neuroscience, 2017Co-Authors: Abraham G Beyene, Ian R Mcfarlane, Rebecca L Pinals, Markita P LandryAbstract:Imaging the dynamic behavior of neuromodulatory neurotransmitters in the extracelluar space that arise from individual quantal release events would constitute a major advance in Neurochemical Imaging. Spatial and temporal resolution of these highly stochastic neuromodulatory events requires concurrent advances in the chemical development of optical nanosensors selective for neuromodulators in concert with advances in Imaging methodologies to capture millisecond neurotransmitter release. Herein, we develop and implement a stochastic model to describe dopamine dynamics in the extracellular space (ECS) of the brain dorsal striatum to guide the design and implementation of fluorescent Neurochemical probes that record neurotransmitter dynamics in the ECS. Our model is developed from first-principles and simulates release, diffusion, and reuptake of dopamine in a 3D simulation volume of striatal tissue. We find that in vivo Imaging of neuromodulation requires simultaneous optimization of dopamine nanosensor rev...
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stochastic simulation of dopamine neuromodulation for implementation of fluorescent Neurochemical probes in the striatal extracellular space
bioRxiv, 2017Co-Authors: Abraham G Beyene, Ian R Mcfarlane, Rebecca L Pinals, Markita P LandryAbstract:Imaging the dynamic behavior of neuromodulatory neurotransmitters in the extracelluar space arising from individual quantal releases would constitute a major advance in Neurochemical Imaging. Spatial and temporal resolution of these highly stochastic neuromodulatory events requires concurrent advances in the chemical development of optical nanosensors selective for neuromodulators in concert with advances in Imaging methodologies to capture millisecond neurotransmitter release. Herein, we develop and implement a stochastic model to describe dopamine dynamics in the extracellular space (ECS) of the brain dorsal striatum. Our model is developed from first principles and simulates release, diffusion, and reuptake of dopamine in a 3D simulation volume of striatal tissue. We find that in vivo Imaging of neuromodulation requires simultaneous optimization of dopamine nanosensor reversibility and sensitivity: dopamine Imaging in the striatum or nucleus accumbens requires nanosensors with an optimal dopamine dissociation constant (Kd) of 1 μM, whereas Kd above 10 μM are required for dopamine Imaging in the prefrontal cortex. Furthermore, our model reveals that Imaging frame rates of 20 Hz are optimal for Imaging temporally-resolved dopamine release events based on the probabilistic nature of dopaminergic terminal activity in the striatum. Our work provides a modeling platform to probe how complex neuromodulatory processes can be studied with fluorescent nanosensors and enables direct evaluation of nanosensor chemistry and Imaging hardware parameters. Our stochastic model is generic for evaluating fluorescent neurotransmission probes, and is broadly applicable to the design of other neurotransmitter fluorophores and their optimization for implementation in vivo.