Imaging large-scale neural activity with cellular resolution in awake, mobile mice.

By D. Dombeck, A. Khabbaz, Forrest Collman, Thomas L. Adelman, David W. Tank. Neuron, 2007

1,085 citations recorded by the source corpus.

Subfields: Cellular and Molecular Neuroscience, Cognitive Neuroscience

View Paper: https://www.semanticscholar.org/paper/55f682f1c252e145242c37219ea7b2d4df547fab

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In Cellular and Molecular Neuroscience

In Cognitive Neuroscience

Citations in the corpus

The functional organization of the barrel cortex. (2007, background): “Filopodia/spine motility decreases during development (Holtmaat et al., 2005; Zuo et al., 2005), likely reflecting the reduced plasticity of the adult barrel cortex.”
Theta-Gamma-Modulated Synaptic Currents in Hippocampal Granule Cells In Vivo Define a Mechanism for Network Oscillations (2014, methodology): “For experiments on head-fixed, fully awake rats, animals were remounted in a second frame above a spherical treadmill (air-supported polystyrol ball with 300 mm diameter; Jetball, PhenoSys; see Dombeck et al., 2007).”
Fast animal pose estimation using deep neural networks (2018, background): “This will probably be useful for tracking body parts of head-fixed animals moving on an air-supported treadmill with simultaneous neural recording 44,45 .”
Synaptic scaling and homeostatic plasticity in the mouse visual cortex in vivo. (2013, methodology): “To investigate how neuronal activity adjusts after input removal in vivo, we measured activity levels using repeated two-photon imaging in the visual cortex of awake, head-fixed mice that were free to run on a spherical treadmill (Dombeck et al., 2007; Keller et al., 2012).”
Functional imaging of hippocampal place cells at cellular resolution during virtual navigation (2010, positive): “…by calcium transients that varied in amplitude (mean peak ΔF/F=28±32%), consistent with a difference in the number of underlying action potentials 13 , 23 , 24 , and varied in duration (mean transient duration=1.2±1.1s), consistent with the summation of multiple transients 12 , 13 , 25 .”
Imaging Neural Activity Using Thy1-GCaMP Transgenic mice (2012, methodology): “We also imaged neuronal activity in the motor cortex of awake mice using a fixed-head imaging design (Dombeck et al., 2007, 2009).”
A Sensorimotor Circuit in Mouse Cortex for Visual Flow Predictions. (2017, neutral): “, 2013) and imaged activity of A24b/M2 axons in V1 (6,007 axons in tenmice) of head-fixedmice running on a spherical treadmill surrounded by a toroidal screen that provided visual flow feedback (Figure 3A) (Dombeck et al., 2007).”
In vivo imaging of dentate gyrus mossy cells in behaving mice (2017, methodology): “Correction of motion artifacts was performed using a 2D Hidden Markov Model (Dombeck et al., 2007) implemented in the SIMA package (Kaifosh et al.”
Simultaneous Denoising, Deconvolution, and Demixing of Calcium Imaging Data (2016, positive): “, due to brain movement during line scanning (Dombeck et al., 2007).”
Tracking the Same Neurons across Multiple Days in Ca2+ Imaging Data (2017, methodology): “This is typically done using two-photon imaging in head-fixed rodents (Dombeck et al., 2007, 2010; Kitamura et al., 2015; Burgess et al., 2016) or onephoton imaging with miniature microscopes in freely behaving rodents (Ziv et al., 2013; Berdyyeva et al., 2014; Jennings et al., 2015; Pinto and Dan,…”
Distinct Contribution of Adult-Born Hippocampal Granule Cells to Context Encoding (2016, positive): “We detected statistically significant calcium transients as described previously (Dombeck et al., 2007; Lovett-Barron et al., 2014).”
Imaging neural activity in worms, flies and mice with improved GCaMP calcium indicators (2009, background): “Many neurons displayed large-amplitude fluorescence transients during a 140 s imaging period while head-fixed mice ran on a treadmil”
Navigating cognition: Spatial codes for human thinking (2018, methodology): “advances, such as two-photonmicroscopy (145), that enable imaging of cellular responses in larger”
Fast functional imaging of multiple brain regions in intact zebrafish larvae using Selective Plane Illumination Microscopy (2013, methodology): “After subtraction of the background, estimated from the average intensity of pixels outside the brain, a baseline fluorescence signal was estimated for each neuron by the running average of the 8th percentile of the raw data in sliding windows of 30 s length (Dombeck et al., 2007).”