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Journal articles on the topic 'Single neuron imaging'

Author: Grafiati

Published: 24 February 2024

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1

Chen, Pei-Ju, Yan Li, and Chi-Hon Lee. "Calcium Imaging of Neural Activity in Fly Photoreceptors." Cold Spring Harbor Protocols 2022, no. 7 (2022): pdb.top107800. http://dx.doi.org/10.1101/pdb.top107800.

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Functional imaging methodologies allow researchers to simultaneously monitor the neural activities of all single neurons in a population, and this ability has led to great advances in neuroscience research. Taking advantage of a genetically tractable model organism, functional imaging in Drosophila provides opportunities to probe scientific questions that were previously unanswerable by electrophysiological recordings. Here, we introduce comprehensive protocols for two-photon calcium imaging in fly visual neurons. We also discuss some challenges in applying optical imaging techniques to study

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Wang, Yangzhen, Feng Su, Shanshan Wang, et al. "Efficient implementation of convolutional neural networks in the data processing of two-photon in vivo imaging." Bioinformatics 35, no. 17 (2019): 3208–10. http://dx.doi.org/10.1093/bioinformatics/btz055.

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Abstract Motivation Functional imaging at single-neuron resolution offers a highly efficient tool for studying the functional connectomics in the brain. However, mainstream neuron-detection methods focus on either the morphologies or activities of neurons, which may lead to the extraction of incomplete information and which may heavily rely on the experience of the experimenters. Results We developed a convolutional neural networks and fluctuation method-based toolbox (ImageCN) to increase the processing power of calcium imaging data. To evaluate the performance of ImageCN, nine different imag

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Yang, Jian, Yong Zhang, Yuanlin Yu, and Ning Zhong. "Nested U-Net Architecture Based Image Segmentation for 3D Neuron Reconstruction." Journal of Medical Imaging and Health Informatics 11, no. 5 (2021): 1348–56. http://dx.doi.org/10.1166/jmihi.2021.3379.

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Digital reconstruction of neurons is a critical step in studying neuronal morphology and exploring the working mechanism of the brain. In recent years, the focus of neuronal morphology reconstruction has gradually shifted from single neurons to multiple neurons in a whole brain. Microscopic images of a whole brain often have low signal-to-noise-ratio, discontinuous neuron fragments or weak neuron signals. It is very difficult to segment neuronal signals from the background of these images, which is the first step of most automatic reconstruction algorithms. In this study, we propose a Nested U

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Keliris, Georgios A., Qinglin Li, Amalia Papanikolaou, Nikos K. Logothetis, and Stelios M. Smirnakis. "Estimating average single-neuron visual receptive field sizes by fMRI." Proceedings of the National Academy of Sciences 116, no. 13 (2019): 6425–34. http://dx.doi.org/10.1073/pnas.1809612116.

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The noninvasive estimation of neuronal receptive field (RF) properties in vivo allows a detailed understanding of brain organization as well as its plasticity by longitudinal following of potential changes. Visual RFs measured invasively by electrophysiology in animal models have traditionally provided a great extent of our current knowledge about the visual brain and its disorders. Voxel-based estimates of population RF (pRF) by functional magnetic resonance imaging (fMRI) in humans revolutionized the field and have been used extensively in numerous studies. However, current methods cannot es

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Ning, Kefu, Xiaoyu Zhang, Xuefei Gao, et al. "Deep-learning-based whole-brain imaging at single-neuron resolution." Biomedical Optics Express 11, no. 7 (2020): 3567. http://dx.doi.org/10.1364/boe.393081.

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Kalaska, John F. "Emerging ideas and tools to study the emergent properties of the cortical neural circuits for voluntary motor control in non-human primates." F1000Research 8 (May 29, 2019): 749. http://dx.doi.org/10.12688/f1000research.17161.1.

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For years, neurophysiological studies of the cerebral cortical mechanisms of voluntary motor control were limited to single-electrode recordings of the activity of one or a few neurons at a time. This approach was supported by the widely accepted belief that single neurons were the fundamental computational units of the brain (the “neuron doctrine”). Experiments were guided by motor-control models that proposed that the motor system attempted to plan and control specific parameters of a desired action, such as the direction, speed or causal forces of a reaching movement in specific coordinate

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Hogg, Peter W., and Kurt Haas. "Bulk Dye Loading for In Vivo Calcium Imaging of Visual Responses in Populations of Xenopus Tectal Neurons." Cold Spring Harbor Protocols 2022, no. 1 (2021): pdb.prot106831. http://dx.doi.org/10.1101/pdb.prot106831.

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Bulk loading of neurons with fluorescent calcium indicators in transparent albino Xenopus tadpoles offers a rapid and easy method for tracking sensory-evoked activity in large numbers of neurons within an awake developing brain circuit. In vivo two-photon time-lapse imaging of an image plane through the optic tectum allows defining receptive field properties from visual-evoked responses for studies of single-neuron and network-level encoding and plasticity. Here, we describe loading the Xenopus tadpole optic tectum with the membrane-permeable AM ester of Oregon Green 488 BAPTA-1 (OGB-1 AM) for

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Koyano, Kenji W., Akinori Machino, Masaki Takeda, et al. "In vivo visualization of single-unit recording sites using MRI-detectable elgiloy deposit marking." Journal of Neurophysiology 105, no. 3 (2011): 1380–92. http://dx.doi.org/10.1152/jn.00358.2010.

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Precise localization of single-neuron activity has elucidated functional architectures of the primate cerebral cortex, related to vertically stacked layers and horizontally aligned columns. The traditional “gold standard” method for localizing recorded neuron is histological examination of electrolytic lesion marks at recording sites. Although this method can localize recorded neurons with fine neuroanatomy, the necessity for postmortem analysis prohibits its use in long-term chronic experiments. To localize recorded single-neuron positions in vivo, we introduced MRI-detectable elgiloy deposit

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Tetzlaff, Svenja, Joaquín Campos, Linh Nguyen, et al. "CNSC-21. CHARACTERIZATION OF NEURON-TUMOR INTERACTIONS USING HUMAN CO-CULTURES." Neuro-Oncology 24, Supplement_7 (2022): vii26. http://dx.doi.org/10.1093/neuonc/noac209.102.

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Abstract Glioblastoma are incurable brain tumors characterized by their colonization of the entire brain and their notorious therapeutic resistance. Recently, we discovered long membrane tubes called tumor microtubes contributing to invasion, network formation of tumor-tumor networks and therapeutic resistance. Subsequently, heterogeneous networks of neurons and glioblastoma cells were characterized, which can communicate by synaptic and perisynaptic contacts as well as by paracrine mechanisms. Currently used models of studying neuron-glioblastoma interactions are limited by the possibility to

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Matsuda, Takahiko, and Izumi Oinuma. "Imaging endogenous synaptic proteins in primary neurons at single-cell resolution using CRISPR/Cas9." Molecular Biology of the Cell 30, no. 22 (2019): 2838–55. http://dx.doi.org/10.1091/mbc.e19-04-0223.

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Fluorescence imaging at single-cell resolution is a crucial approach to analyzing the spatiotemporal regulation of proteins within individual cells of complex neural networks. Here we present a nonviral strategy that enables the tagging of endogenous loci by CRISPR/Cas9-mediated genome editing combined with a nucleofection technique. The method allowed expression of fluorescently tagged proteins at endogenous levels, and we successfully achieved tagging of a presynaptic protein, synaptophysin (Syp), and a postsynaptic protein, PSD-95, in cultured postmitotic neurons. Superresolution fluorescen

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Duncan, John. "Converging levels of analysis in the cognitive neuroscience of visual attention." Philosophical Transactions of the Royal Society of London. Series B: Biological Sciences 353, no. 1373 (1998): 1307–17. http://dx.doi.org/10.1098/rstb.1998.0285.

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Experiments using behavioural, lesion, functional imaging and single neuron methods are considered in the context of a neuropsychological model of visual attention. According to this model, inputs compete for representation in multiple visually responsive brain systems, sensory and motor, cortical and subcortical. Competition is biased by advance priming of neurons responsive to current behavioural targets. Across systems competition is integrated such that the same, selected object tends to become dominant throughout. The behavioural studies reviewed concern divided attention within and betwe

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Xu, Shengjin, Hui Yang, Vilas Menon, et al. "Behavioral state coding by molecularly defined paraventricular hypothalamic cell type ensembles." Science 370, no. 6514 (2020): eabb2494. http://dx.doi.org/10.1126/science.abb2494.

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Brains encode behaviors using neurons amenable to systematic classification by gene expression. The contribution of molecular identity to neural coding is not understood because of the challenges involved with measuring neural dynamics and molecular information from the same cells. We developed CaRMA (calcium and RNA multiplexed activity) imaging based on recording in vivo single-neuron calcium dynamics followed by gene expression analysis. We simultaneously monitored activity in hundreds of neurons in mouse paraventricular hypothalamus (PVH). Combinations of cell-type marker genes had predict

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Barry, John F., Matthew J. Turner, Jennifer M. Schloss, et al. "Optical magnetic detection of single-neuron action potentials using quantum defects in diamond." Proceedings of the National Academy of Sciences 113, no. 49 (2016): 14133–38. http://dx.doi.org/10.1073/pnas.1601513113.

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Magnetic fields from neuronal action potentials (APs) pass largely unperturbed through biological tissue, allowing magnetic measurements of AP dynamics to be performed extracellularly or even outside intact organisms. To date, however, magnetic techniques for sensing neuronal activity have either operated at the macroscale with coarse spatial and/or temporal resolution—e.g., magnetic resonance imaging methods and magnetoencephalography—or been restricted to biophysics studies of excised neurons probed with cryogenic or bulky detectors that do not provide single-neuron spatial resolution and ar

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Ling, Tong, Kevin C. Boyle, Valentina Zuckerman, et al. "High-speed interferometric imaging reveals dynamics of neuronal deformation during the action potential." Proceedings of the National Academy of Sciences 117, no. 19 (2020): 10278–85. http://dx.doi.org/10.1073/pnas.1920039117.

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Neurons undergo nanometer-scale deformations during action potentials, and the underlying mechanism has been actively debated for decades. Previous observations were limited to a single spot or the cell boundary, while movement across the entire neuron during the action potential remained unclear. Here we report full-field imaging of cellular deformations accompanying the action potential in mammalian neuron somas (−1.8 to 1.4 nm) and neurites (−0.7 to 0.9 nm), using high-speed quantitative phase imaging with a temporal resolution of 0.1 ms and an optical path length sensitivity of <4 pm pe

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Huys, Quentin J. M., Misha B. Ahrens, and Liam Paninski. "Efficient Estimation of Detailed Single-Neuron Models." Journal of Neurophysiology 96, no. 2 (2006): 872–90. http://dx.doi.org/10.1152/jn.00079.2006.

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Biophysically accurate multicompartmental models of individual neurons have significantly advanced our understanding of the input–output function of single cells. These models depend on a large number of parameters that are difficult to estimate. In practice, they are often hand-tuned to match measured physiological behaviors, thus raising questions of identifiability and interpretability. We propose a statistical approach to the automatic estimation of various biologically relevant parameters, including 1) the distribution of channel densities, 2) the spatiotemporal pattern of synaptic input,

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Ishikawa, Tomoe, and Yuji Ikegaya. "Locally sequential synaptic reactivation during hippocampal ripples." Science Advances 6, no. 7 (2020): eaay1492. http://dx.doi.org/10.1126/sciadv.aay1492.

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The sequential reactivation of memory-relevant neuronal ensembles during hippocampal sharp-wave (SW) ripple oscillations reflects cognitive processing. However, how a downstream neuron decodes this spatiotemporally organized activity remains unexplored. Using subcellular calcium imaging from CA1 pyramidal neurons in ex vivo hippocampal networks, we discovered that neighboring spines are activated serially along dendrites toward or away from cell bodies. Sequential spine activity was engaged repeatedly in different SWs in a complex manner. In a single SW event, multiple sequences appeared discr

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Peng, Hanchuan, Peng Xie, Lijuan Liu, et al. "Morphological diversity of single neurons in molecularly defined cell types." Nature 598, no. 7879 (2021): 174–81. http://dx.doi.org/10.1038/s41586-021-03941-1.

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AbstractDendritic and axonal morphology reflects the input and output of neurons and is a defining feature of neuronal types1,2, yet our knowledge of its diversity remains limited. Here, to systematically examine complete single-neuron morphologies on a brain-wide scale, we established a pipeline encompassing sparse labelling, whole-brain imaging, reconstruction, registration and analysis. We fully reconstructed 1,741 neurons from cortex, claustrum, thalamus, striatum and other brain regions in mice. We identified 11 major projection neuron types with distinct morphological features and corres

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Wu, Yuxiang, Shang Wu, Xin Wang, et al. "Rapid detection and recognition of whole brain activity in a freely behaving Caenorhabditis elegans." PLOS Computational Biology 18, no. 10 (2022): e1010594. http://dx.doi.org/10.1371/journal.pcbi.1010594.

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Advanced volumetric imaging methods and genetically encoded activity indicators have permitted a comprehensive characterization of whole brain activity at single neuron resolution in Caenorhabditis elegans. The constant motion and deformation of the nematode nervous system, however, impose a great challenge for consistent identification of densely packed neurons in a behaving animal. Here, we propose a cascade solution for long-term and rapid recognition of head ganglion neurons in a freely moving C. elegans. First, potential neuronal regions from a stack of fluorescence images are detected by

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Faumont, Serge, and Shawn R. Lockery. "The Awake Behaving Worm: Simultaneous Imaging of Neuronal Activity and Behavior in Intact Animals at Millimeter Scale." Journal of Neurophysiology 95, no. 3 (2006): 1976–81. http://dx.doi.org/10.1152/jn.01050.2005.

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Genetically encoded optical probes of neuronal activity offer the prospect of simultaneous recordings of neuronal activity and behavior in intact animals. A central problem in simultaneous imaging is that the field of view of the high-power objective required for imaging the neuron is often too small to allow the experimenter to assess the overall behavioral state of the animal. Here we present a method that solves this problem using a microscope with two objectives focused on the preparation: a high-power lens dedicated to imaging the neuron and low-power lens dedicated to imaging the behavio

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Davis, Karen D., William D. Hutchison, Andres M. Lozano, Ronald R. Tasker, and Jonathan O. Dostrovsky. "Human Anterior Cingulate Cortex Neurons Modulated by Attention-Demanding Tasks." Journal of Neurophysiology 83, no. 6 (2000): 3575–77. http://dx.doi.org/10.1152/jn.2000.83.6.3575.

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Recent imaging studies have implicated the anterior cingulate cortex (ACC) in various cognitive functions, including attention. However, until now, there was no evidence for changes in neuronal activity of individual ACC neurons during performance of tasks that require attention and effortful thought. We hypothesized these neurons must exist in the human ACC. In this study, we present electrophysiological data from microelectrode single neuron recordings in the human ACC of neuronal modulation during attention-demanding tasks in 19% of 36 neurons tested. These findings provide the first direct

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Zhang, Weize, Peng Pan, Xin Wang, Yixu Chen, Yong Rao, and Xinyu Liu. "Force-Controlled Mechanical Stimulation and Single-Neuron Fluorescence Imaging of Drosophila Larvae." IEEE Robotics and Automation Letters 6, no. 2 (2021): 3736–43. http://dx.doi.org/10.1109/lra.2021.3061874.

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HIRATA, Yoshihiro, Kaori SHIGETOMI-KURIBAYASHI, Ken-ichi HONMA, Sato HONMA, and Ryosuke ENOKI. "Fluorescent calcium imaging of suprachiasmatic single neuron on the micropattern-culture dish." Proceedings of the JSME Conference on Frontiers in Bioengineering 2016.27 (2016): B114. http://dx.doi.org/10.1299/jsmebiofro.2016.27.b114.

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Hefft, Stefan, Armin Brandt, Stefan Zwick, et al. "Safety of Hybrid Electrodes for Single-Neuron Recordings in Humans." Neurosurgery 73, no. 1 (2013): 78–85. http://dx.doi.org/10.1227/01.neu.0000429840.76460.8c.

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Abstract BACKGROUND: Intracranial in vivo recordings of individual neurons in humans are increasingly performed for a better understanding of the mechanisms of epileptogenesis and of the neurobiological basis of cognition. So far, information about the safety of stereotactic implantations and of magnetic resonance imaging (MRI) with hybrid depth electrodes is scarce. OBJECTIVE: The aim of this study was to assess neurosurgical safety of implantations, recordings, and imaging using hybrid electrodes in humans. METHODS: Perioperative and long-term safety of implantation of a total of 88 hybrid d

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Lelito, Katherine R., and Orie T. Shafer. "Reciprocal cholinergic and GABAergic modulation of the small ventrolateral pacemaker neurons of Drosophila's circadian clock neuron network." Journal of Neurophysiology 107, no. 8 (2012): 2096–108. http://dx.doi.org/10.1152/jn.00931.2011.

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The relatively simple clock neuron network of Drosophila is a valuable model system for the neuronal basis of circadian timekeeping. Unfortunately, many key neuronal classes of this network are inaccessible to electrophysiological analysis. We have therefore adopted the use of genetically encoded sensors to address the physiology of the fly's circadian clock network. Using genetically encoded Ca2+ and cAMP sensors, we have investigated the physiological responses of two specific classes of clock neuron, the large and small ventrolateral neurons (l- and s-LNvs), to two neurotransmitters implica

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Hill, Evan S., Caroline Moore-Kochlacs, Sunil K. Vasireddi, Terrence J. Sejnowski, and William N. Frost. "Validation of Independent Component Analysis for Rapid Spike Sorting of Optical Recording Data." Journal of Neurophysiology 104, no. 6 (2010): 3721–31. http://dx.doi.org/10.1152/jn.00691.2010.

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Independent component analysis (ICA) is a technique that can be used to extract the source signals from sets of signal mixtures where the sources themselves are unknown. The analysis of optical recordings of invertebrate neuronal networks with fast voltage-sensitive dyes could benefit greatly from ICA. These experiments can generate hundreds of voltage traces containing both redundant and mixed recordings of action potentials originating from unknown numbers of neurons. ICA can be used as a method for converting such complex data sets into single-neuron traces, but its accuracy for doing so ha

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Arieli, A., D. Shoham, R. Hildesheim, and A. Grinvald. "Coherent spatiotemporal patterns of ongoing activity revealed by real-time optical imaging coupled with single-unit recording in the cat visual cortex." Journal of Neurophysiology 73, no. 5 (1995): 2072–93. http://dx.doi.org/10.1152/jn.1995.73.5.2072.

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1. We examined the spatiotemporal organization of ongoing activity in cat visual areas 17 and 18, in relation to the spontaneous activity of individual neurons. To search for coherent activity, voltage-sensitive dye signals were correlated with the activity of single neurons by the use of spike-triggered averaging. In each recording session an area of at least 2 x 2 mm of cortex was imaged, with 124 diodes. In addition, electrical recordings from two isolated units, the local field potential (LFP) from the same microelectrodes, and the surface electroencephalogram (EEG) were recorded simultane

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Broadie, Kendal, Helen Sink, David Van Vactor, et al. "From growth cone to synapse: the life history of the RP3 motor neuron." Development 119, Supplement (1993): 227–38. http://dx.doi.org/10.1242/dev.119.supplement.227.

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In Drosophila, the ability to analyze the development of individually identified neurons with a variety of imaging and biophysical techniques can be complemented by sophisticated genetics and molecular biology. This powerful combination is allowing the development and function of single neurons and their synaptic connections to be unraveled at an unparalleled level of resolution. In this article, we focus on a single, identified motoneuron — RP3 — arguably the best understood neuron in the fruitfly. Many events in the life history of RP3 are well characterized, including cell migration, axon o

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Sadovsky, Alexander J., Peter B. Kruskal, Joseph M. Kimmel, Jared Ostmeyer, Florian B. Neubauer, and Jason N. MacLean. "Heuristically optimal path scanning for high-speed multiphoton circuit imaging." Journal of Neurophysiology 106, no. 3 (2011): 1591–98. http://dx.doi.org/10.1152/jn.00334.2011.

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Population dynamics of patterned neuronal firing are fundamental to information processing in the brain. Multiphoton microscopy in combination with calcium indicator dyes allows circuit dynamics to be imaged with single-neuron resolution. However, the temporal resolution of fluorescent measures is constrained by the imaging frequency imposed by standard raster scanning techniques. As a result, traditional raster scans limit the ability to detect the relative timing of action potentials in the imaged neuronal population. To maximize the speed of fluorescence measures from large populations of n

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Laine, Romain F., Gabriele S. Kaminski Schierle, Sebastian van de Linde, and Clemens F. Kaminski. "From single-molecule spectroscopy to super-resolution imaging of the neuron: a review." Methods and Applications in Fluorescence 4, no. 2 (2016): 022004. http://dx.doi.org/10.1088/2050-6120/4/2/022004.

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Nurminen, Lauri, Markku Kilpeläinen, Pentti Laurinen, and Simo Vanni. "Area Summation in Human Visual System: Psychophysics, fMRI, and Modeling." Journal of Neurophysiology 102, no. 5 (2009): 2900–2909. http://dx.doi.org/10.1152/jn.00201.2009.

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Contextual modulation is a fundamental feature of sensory processing, both on perceptual and on single-neuron level. When the diameter of a visual stimulus is increased, the firing rate of a cell typically first increases (summation field) and then decreases (surround field). Such an area summation function draws a comprehensive profile of the receptive field structure of a neuron, including areas outside the classical receptive field. We investigated area summation in human vision with psychophysics and functional magnetic resonance imaging (fMRI). The stimuli were similar to those used drift

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Valdez, André B., Megan H. Papesh, David M. Treiman, Stephen D. Goldinger, and Peter N. Steinmetz. "Encoding of Race Categories by Single Neurons in the Human Brain." NeuroSci 3, no. 3 (2022): 419–39. http://dx.doi.org/10.3390/neurosci3030031.

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Previous research has suggested that race-specific features are automatically processed during face perception, often with out-group faces treated categorically. Functional imaging has illuminated the hemodynamic correlates of this process, with fewer studies examining single-neuron responses. In the present experiment, epilepsy patients undergoing microwire recordings in preparation for surgical treatment were shown realistic computer-generated human faces, which they classified according to the emotional expression shown. Racial categories of the stimulus faces varied independently of the em

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Kondo, Tosho, Ihori Ebinuma, Hirotaka Tanaka, et al. "Rapid and Robust Multi-Phenotypic Assay System for ALS Using Human iPS Cells with Mutations in Causative Genes." International Journal of Molecular Sciences 24, no. 8 (2023): 6987. http://dx.doi.org/10.3390/ijms24086987.

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Amyotrophic lateral sclerosis (ALS) is a major life-threatening disease caused by motor neuron degeneration. More effective treatments through drug discovery are urgently needed. Here, we established an effective high-throughput screening system using induced pluripotent stem cells (iPSCs). Using a Tet-On-dependent transcription factor expression system carried on the PiggyBac vector, motor neurons were efficiently and rapidly generated from iPSCs by a single-step induction method. Induced iPSC transcripts displayed characteristics similar to those of spinal cord neurons. iPSC-generated motor

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Hockley, James R. F., Toni S. Taylor, Gerard Callejo, et al. "Single-cell RNAseq reveals seven classes of colonic sensory neuron." Gut 68, no. 4 (2018): 633–44. http://dx.doi.org/10.1136/gutjnl-2017-315631.

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ObjectiveIntegration of nutritional, microbial and inflammatory events along the gut-brain axis can alter bowel physiology and organism behaviour. Colonic sensory neurons activate reflex pathways and give rise to conscious sensation, but the diversity and division of function within these neurons is poorly understood. The identification of signalling pathways contributing to visceral sensation is constrained by a paucity of molecular markers. Here we address this by comprehensive transcriptomic profiling and unsupervised clustering of individual mouse colonic sensory neurons.DesignUnbiased sin

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Campos, Pauline, Jamie J. Walker, and Patrice Mollard. "Diving into the brain: deep-brain imaging techniques in conscious animals." Journal of Endocrinology 246, no. 2 (2020): R33—R50. http://dx.doi.org/10.1530/joe-20-0028.

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In most species, survival relies on the hypothalamic control of endocrine axes that regulate critical functions such as reproduction, growth, and metabolism. For decades, the complexity and inaccessibility of the hypothalamic–pituitary axis has prevented researchers from elucidating the relationship between the activity of endocrine hypothalamic neurons and pituitary hormone secretion. Indeed, the study of central control of endocrine function has been largely dominated by ‘traditional’ techniques that consist of studying in vitro or ex vivo isolated cell types without taking into account the

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Hackett, Mark J., Sally Caine, Xia Liu, Tim E. May, and Ferenc Borondics. "Development of single-beam wide-field infrared imaging to study sub-cellular neuron biochemistry." Vibrational Spectroscopy 77 (March 2015): 51–59. http://dx.doi.org/10.1016/j.vibspec.2014.12.004.

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Kayser, Christoph, Christopher I. Petkov, and Nikos K. Logothetis. "Tuning to Sound Frequency in Auditory Field Potentials." Journal of Neurophysiology 98, no. 3 (2007): 1806–9. http://dx.doi.org/10.1152/jn.00358.2007.

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Neurons in auditory cortex are selective for the frequency content of acoustical stimuli. Classically, this response selectivity is studied at the single-neuron level. However, current research often employs functional imaging techniques to investigate the organization of auditory cortex. The signals underlying the imaging data arise from neural mass action and reflect the properties of populations of neurons. For example, the signal used for functional magnetic resonance imaging (fMRI-BOLD) was shown to correlate with the oscillatory activity quantified by local field potentials (LFPs). This

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Huerta, Tomas S., Bilal B. Haider, Richard Adamovich-Zeitlin, Sangeeta S. Chavan, Kevin J. Tracey, and Eric H. Chang. "Vagus nerve sensory neurons have distinct neural responses to inflammatory mediators." Journal of Immunology 208, no. 1_Supplement (2022): 52.14. http://dx.doi.org/10.4049/jimmunol.208.supp.52.14.

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Abstract Cytokines are secreted signaling proteins that are important mediators of inflammation. While prior work has demonstrated that the level of cytokines can be regulated by nerve stimulation, the role of the nervous system in sensing these immune mediators is still poorly understood. During periods of inflammation, it has been shown that sensory signals travel up the vagus nerve to the brain. However, it is unclear how individual vagal sensory neurons encode specific immune information. Here we use in vivo calcium imaging of the nodose ganglion to monitor neural activity in individual va

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Latifi, Shahrzad, Simon Mitchell, Rouhollah Habibey, et al. "Neuronal Network Topology Indicates Distinct Recovery Processes after Stroke." Cerebral Cortex 30, no. 12 (2020): 6363–75. http://dx.doi.org/10.1093/cercor/bhaa191.

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Abstract Despite substantial recent progress in network neuroscience, the impact of stroke on the distinct features of reorganizing neuronal networks during recovery has not been defined. Using a functional connections-based approach through 2-photon in vivo calcium imaging at the level of single neurons, we demonstrate for the first time the functional connectivity maps during motion and nonmotion states, connection length distribution in functional connectome maps and a pattern of high clustering in motor and premotor cortical networks that is disturbed in stroke and reconstitutes partially

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Eliscovich, Carolina, Shailesh M. Shenoy, and Robert H. Singer. "Imaging mRNA and protein interactions within neurons." Proceedings of the National Academy of Sciences 114, no. 10 (2017): E1875—E1884. http://dx.doi.org/10.1073/pnas.1621440114.

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RNA–protein interactions are essential for proper gene expression regulation, particularly in neurons with unique spatial constraints. Currently, these interactions are defined biochemically, but a method is needed to evaluate them quantitatively within morphological context. Colocalization of two-color labels using wide-field microscopy is a method to infer these interactions. However, because of chromatic aberrations in the objective lens, this approach lacks the resolution to determine whether two molecules are physically in contact or simply nearby by chance. Here, we developed a robust su

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Assunção, F. B., T. L. P. D. Scoppetta, B. S. Yonekura Inada, et al. "Secondary Neurodegeneration: A General Approach to Axonal and Transaxonal Degeneration." Neurographics 11, no. 2 (2021): 111–26. http://dx.doi.org/10.3174/ng.2000050.

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CNS WM tracts are mainly composed of axons, and when these structures undergo apoptosis or lose their integrity, neurodegeneration may occur. Secondary neuronal degeneration can be classified as axonal degeneration and involves only the first neuron in a pathway (Wallerian degeneration of the corticospinal tract being its prototype) or be classified as transaxonal degeneration and involve more than a single neuron in a common pathway, usually a closed neuronal circuit, in specific tracts, such as the dentate-rubro-olivary tract, tracts of the limbic system, corticopontocerebellar tract, crania

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Krishna, Saritha, Andy Daniel, Vardhaan Ambati, Clara Seibert, and Shawn Hervey-Jumper. "CNSC-29. NKCC1 SIGNALING IN GLIOBLASTOMA REGULATES NEURONAL HYPEREXCITABILITY THROUGH GABAERGIC TONE." Neuro-Oncology 25, Supplement_5 (2023): v29. http://dx.doi.org/10.1093/neuonc/noad179.0113.

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Abstract Over 90% of patients with glioma experience tumor-associated epilepsy, however first-line treatment fails to control seizures in most patients. Thus, there is a critical need to identify novel drivers of glioblastoma-induced neuronal hyperexcitability. We therefore used high-density electrode arrays to record local field potentials in vivo from gliomas. We then developed cerebral organoid and mouse models using primary glioblastoma cells from patients and neurons derived from induced pluripotent stem cells. Single-cell RNA sequencing (13,730 cells analyzed) in this system identified g

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Wilson, C. J., and J. C. Callaway. "Coupled Oscillator Model of the Dopaminergic Neuron of the Substantia Nigra." Journal of Neurophysiology 83, no. 5 (2000): 3084–100. http://dx.doi.org/10.1152/jn.2000.83.5.3084.

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Calcium imaging using fura-2 and whole cell recording revealed the effective location of the oscillator mechanism on dopaminergic neurons of the substantia nigra, pars compacta, in slices from rats aged 15–20 days. As previously reported, dopaminergic neurons fired in a slow rhythmic single spiking pattern. The underlying membrane potential oscillation survived blockade of sodium currents with TTX and was enhanced by blockade of voltage-sensitive potassium currents with TEA. Calcium levels increased during the subthreshold depolarizing phase of the membrane potential oscillation and peaked at

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Liang, Dandan, Zhigang Xue, Jinfeng Xue, et al. "Sinoatrial node pacemaker cells share dominant biological properties with glutamatergic neurons." Protein & Cell 12, no. 7 (2021): 545–56. http://dx.doi.org/10.1007/s13238-020-00820-9.

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AbstractActivation of the heart normally begins in the sinoatrial node (SAN). Electrical impulses spontaneously released by SAN pacemaker cells (SANPCs) trigger the contraction of the heart. However, the cellular nature of SANPCs remains controversial. Here, we report that SANPCs exhibit glutamatergic neuron-like properties. By comparing the single-cell transcriptome of SANPCs with that of cells from primary visual cortex in mouse, we found that SANPCs co-clustered with cortical neurons. Tissue and cellular imaging confirmed that SANPCs contained key elements of glutamatergic neurotransmitter

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Bulumulla, Chandima, Andrew T. Krasley, and Abraham G. Beyene. "Carbon Nanotube Sensors Enable Visualization of Dopamine Neuromodulation at the Resolution of a Single Chemical Synapse." ECS Meeting Abstracts MA2023-01, no. 9 (2023): 1120. http://dx.doi.org/10.1149/ma2023-0191120mtgabs.

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Among the organs in our body, the brain easily remains the most intriguing in terms of its complexity and function. Nerve cells, which are the functional building blocks of the brain, operate in complex networks that underpin most of the brain’s capabilities, including ability to learn, remember, initiate and orchestrate complex movement. In systems neuroscience, behavioral assays and large-scale neuronal activity recording have broadened our understanding of the role that specific brain regions and neuronal circuits play in a behaving animal. An equally exciting aspect of neuroscience concern

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Bowman, Adam J., Cheng Huang, Mark J. Schnitzer, and Mark A. Kasevich. "Wide-field fluorescence lifetime imaging of neuron spiking and subthreshold activity in vivo." Science 380, no. 6651 (2023): 1270–75. http://dx.doi.org/10.1126/science.adf9725.

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The development of voltage-sensitive fluorescent probes suggests fluorescence lifetime as a promising readout for electrical activity in biological systems. Existing approaches fail to achieve the speed and sensitivity required for voltage imaging in neuroscience applications. We demonstrated that wide-field electro-optic fluorescence lifetime imaging microscopy (EO-FLIM) allows lifetime imaging at kilohertz frame-acquisition rates, spatially resolving action potential propagation and subthreshold neural activity in live adult Drosophila . Lifetime resolutions of <5 picoseconds at 1 kiloher

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Zaslaver, Alon, Idan Liani, Oshrat Shtangel, Shira Ginzburg, Lisa Yee, and Paul W. Sternberg. "Hierarchical sparse coding in the sensory system of Caenorhabditis elegans." Proceedings of the National Academy of Sciences 112, no. 4 (2015): 1185–89. http://dx.doi.org/10.1073/pnas.1423656112.

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Animals with compact sensory systems face an encoding problem where a small number of sensory neurons are required to encode information about its surrounding complex environment. Using Caenorhabditis elegans worms as a model, we ask how chemical stimuli are encoded by a small and highly connected sensory system. We first generated a comprehensive library of transgenic worms where each animal expresses a genetically encoded calcium indicator in individual sensory neurons. This library includes the vast majority of the sensory system in C. elegans. Imaging from individual sensory neurons while

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Lagache, Thibault, Alison Hanson, Jesús E. Pérez-Ortega, Adrienne Fairhall, and Rafael Yuste. "Tracking calcium dynamics from individual neurons in behaving animals." PLOS Computational Biology 17, no. 10 (2021): e1009432. http://dx.doi.org/10.1371/journal.pcbi.1009432.

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Measuring the activity of neuronal populations with calcium imaging can capture emergent functional properties of neuronal circuits with single cell resolution. However, the motion of freely behaving animals, together with the intermittent detectability of calcium sensors, can hinder automatic monitoring of neuronal activity and their subsequent functional characterization. We report the development and open-source implementation of a multi-step cellular tracking algorithm (Elastic Motion Correction and Concatenation or EMC2) that compensates for the intermittent disappearance of moving neuron

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Sawada, H., F. Udaka, Y. Kishi, et al. "Single photon emission computed tomography in motor neuron disease with dementia." Neuroradiology 30, no. 6 (1988): 577–78. http://dx.doi.org/10.1007/bf00339706.

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Somogyvári, Zoltán, Dorottya Cserpán, István Ulbert, and Péter Érdi. "Micro-Electric Imaging: Inverse Solution for Localization of Single Neuron Currents Based on Extracellular Potential Measurements." Procedia Computer Science 7 (2011): 348–50. http://dx.doi.org/10.1016/j.procs.2011.09.086.

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Ge, Lihong, and Yang Tian. "Fluorescence Lifetime Imaging of p-tau Protein in Single Neuron with a Highly Selective Fluorescent Probe." Analytical Chemistry 91, no. 5 (2019): 3294–301. http://dx.doi.org/10.1021/acs.analchem.8b03992.

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