scholarly journals An easy-to-assemble, robust, and lightweight drive implant for chronic tetrode recordings in freely moving animals

2019 ◽  
Author(s):  
Jakob Voigts ◽  
Jonathan P. Newman ◽  
Matthew A. Wilson ◽  
Mark T. Harnett

AbstractTetrode arrays are the gold-standard method for neuronal recordings in many studies with behaving animals, especially for deep structures and chronic recordings. Here we outline an improved drive design for use in freely behaving animals. Our design makes use of recently developed technologies to reduce the complexity and build time of the drive while maintaining a low weight. The design also presents an improvement over many existing designs in terms of robustness and ease of use. We describe two variants: a 16 tetrode implant weighing ∼2 g for mice, bats, tree shrews and similar animals, and a 64 tetrode implant weighing ∼16 g for rats, and similar animals.These designs were co-developed and optimized alongside a new class of drive-mounted feature-rich amplifier boards with ultra-thin RF tethers, as described in an upcoming paper (Newman, Zhang et al., in prep). This design significantly improves the data yield of chronic electrophysiology experiments.

2020 ◽  
Author(s):  
Hoseok Kim ◽  
Hans Sperup Brünner ◽  
Marie Carlén

AbstractElectrophysiological recording and optogenetic control of neuronal activity in behaving animals have been integral to the elucidation of how neurons and circuits modulate network activity in the encoding and causation of behavior. However, most current electrophysiological methods require substantial economical investments and prior expertise. Further, the inclusion of optogenetics with electrophysiological recordings in freely moving animals remains a general challenge. Expansion of the technological repertoire across laboratories, research institutes, and countries, demands open access to high-quality devices that can be built with little or no prior expertise from easily accessible parts of low cost. We here present a very affordable, truly easy-to-assemble micro-drive for electrophysiology in combination with optogenetics in freely moving mice and rats. The DMCdrive is particularly suited for reliable long-term recordings of neurons and network activities, and simplify optical tagging and manipulation of neurons in the recorded brain region. The highly functional and practical drive design has been optimized for accurate tetrode movement in brain tissue, and remarkably reduced build time. We provide a complete overview of the drive design, its assembly and use, and proof-of-principle demonstration of long-term recordings paired with cell-type-specific optogenetic manipulations in the prefrontal cortex (PFC) of freely moving transgenic mice and rats.


2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Venus N. Sherathiya ◽  
Michael D. Schaid ◽  
Jillian L. Seiler ◽  
Gabriela C. Lopez ◽  
Talia N. Lerner

AbstractFiber photometry (FP) is an adaptable method for recording in vivo neural activity in freely behaving animals. It has become a popular tool in neuroscience due to its ease of use, low cost, the ability to combine FP with freely moving behavior, among other advantages. However, analysis of FP data can be challenging for new users, especially those with a limited programming background. Here, we present Guided Photometry Analysis in Python (GuPPy), a free and open-source FP analysis tool. GuPPy is designed to operate across computing platforms and can accept data from a variety of FP data acquisition systems. The program presents users with a set of graphic user interfaces (GUIs) to load data and provide input parameters. Graphs are produced that can be easily exported for integration into scientific figures. As an open-source tool, GuPPy can be modified by users with knowledge of Python to fit their specific needs.


2021 ◽  
Author(s):  
Venus N Sherathiya ◽  
Michael D Schaid ◽  
Jillian L Seiler ◽  
Gabriela C Lopez ◽  
Talia Lerner

Fiber photometry (FP) is an adaptable method for recording in vivo neural activity in freely behaving animals. It has become a popular tool in neuroscience due to its ease of use, low cost, the ability to combine FP with freely moving behavior, among other advantages. However, analysis of FP data can be a challenge for new users, especially those with a limited programming background. Here, we present Guided Photometry Analysis in Python (GuPPy), a free and open-source FP analysis tool. GuPPy is provided as a Jupyter notebook, a well-commented interactive development environment (IDE) designed to operate across platforms. GuPPy presents the user with a set of graphic user interfaces (GUIs) to load data and provide input parameters. Graphs produced by GuPPy can be exported into various image formats for integration into scientific figures. As an open-source tool, GuPPy can be modified by users with knowledge of Python to fit their specific needs.


2021 ◽  
Author(s):  
Raquel P. de Sousa Abreu ◽  
Evgeny Bondarenko ◽  
Jack L. Feldman

AbstractAs neuronal subtypes are increasingly categorized, delineating their functional role is paramount. The preBötzinger Complex (preBötC) subpopulation expressing the neuropeptide somatostatin (SST) is classified as mostly excitatory, inspiratory-modulated and not rhythmogenic. We further characterized their phenotypic identity; 87% were glutamatergic and the balance were glycinergic and/or GABAergic. We then used optogenetics to investigate their modulatory role in both anesthetized and freely moving mice. In anesthetized mice, short photostimulation (100 ms) of preBötC SST+ neurons modulated breathing-related variables in a combinatory phase- and state-dependent manner; changes in inspiratory duration, inspiratory peak amplitude (Amp), and phase were different at higher (≥2.5 Hz) vs. lower (<2.5 Hz) breathing frequency. Moreover, we observed a biphasic effect of photostimulation during expiration that is probabilistic, i.e., photostimulation given at the same phase in consecutive cycles can evoke opposite responses (lengthening vs. shortening of the phase). This unexpected probabilistic state- and phase-dependent responses to photostimulation exposed properties of the preBötC that were not predicted and cannot be readily accounted for in current models of preBötC pattern generation. In freely moving mice, prolonged photostimulation decreased f in normoxia, hypoxia, or hypercapnia, and increased Amp and produced a phase advance, which was similar to the results in anesthetized mice when f≥2.5 Hz. We conclude that preBötC SST+ neurons are a key mediator of the extraordinary and essential lability of breathing pattern.Key points summaryWe transfected preBötzinger Complex (preBötC) somatostatin-expressing (SST+) neurons, which modulate respiratory pattern, but are not rhythmogenic, with channelrhodopsin to investigate phase- and state-dependent modulation of breathing pattern in anesthetized and freely behaving mice in normoxia, hypoxia, and hypercapnia.In anesthetized mice, photostimulation of preBötC SST+ neurons during inspiration increased inspiratory duration and amplitude regardless of baseline breathing frequency, f.In anesthetized mice with low f (<2.5 Hz), photostimulation of preBötC SST+ neurons during expiration evoked either phase advance or phase delay, whereas in anesthetized mice with high f (≥2.5 Hz) and in freely behaving mice in normoxia, hypoxia, or hypercapnia, photostimulation always evoked phase advance.Phase- and state-dependency is a function of overall breathing network excitability.The f-dependent probabilistic modulation of breathing pattern by preBötC SST+ neurons was unexpected, requiring reconsideration of current models of preBötC function, which neither predict nor can readily account for such responses.


2013 ◽  
Vol 24 (2) ◽  
pp. 75-78
Author(s):  
MAN Chowdhury ◽  
MS Uddin ◽  
S Das ◽  
M Hoque

Leukotriene inhibitors are the first new class of medications for the treatment of persistent asthma that have been approved by the U.S food and drug Administration in more than two decades. They also have been approved for the treatment of Allergic Rhinitis. Leukotrienes are inflammatory mediators that are known as the slow-reacting substance of anaphylaxis. Synthesis of these mediators results from the cleavage of arachidonic acid in cell membranes, exert their biologic effect by binding and activating specific adaptors. This occurs in a series of events that lead to their important role in the Allergic Rhinitis. Because agents lead to the production of symptoms, the use of leukotriene inhibitors, particularly montelukast seems appropriate. These classes of drug can block the binding of leukotrienes to CysLT1 receptors and can also result in the prevention of leukotriene activity. Montelukast is the most commonly used inhibitor of the leukotriene pathway because of its ease of use , good safety profile, and once-daily regimen. We conduct a systematic review of studies that have evaluated montelikast in the treatment of Allergic Rhinitis. This review focuses on the pathophysiology and effect of montelukast in Allergic Rhinitis. The purpose of this paper is to provide an overview of the accumulation data concerning these agents in treating Allergic Rhinitis. Montelukast provides an effective and well tolerated oral treatment for Allergic Rhinitis.DOI: http://dx.doi.org/10.3329/medtoday.v24i2.15012 Medicine Today 2012 Vol.24(2): 75-78 


2019 ◽  
Author(s):  
Mattias Björnmalm ◽  
Lok Man Wong ◽  
Jonathan Wojciechowski ◽  
Jelle Penders ◽  
Conor Horgan ◽  
...  

In vivo forming hydrogels are of interest for diverse biomedical applications due to their ease-of-use and minimal invasiveness and therefore high translational potential. Supramolecular hydrogels that can be assembled using metal–phenolic coordination of naturally occurring polyphenols and group IV metal ions (e.g. Ti<sup>IV </sup>or Zr<sup>IV</sup>) provide a versatile and robust platform for engineering such materials. However, the in situ formation and in vivo response to this new class of materials has not yet been reported. Here, we demonstrate that metal–phenolic supramolecular gelation occurs successfully in vivo and we investigate the host response to the material over 14 weeks. The Ti<sup>IV</sup>–tannic acid materials form stable gels that are well-tolerated following subcutaneous injection. Histology reveals a mild foreign body reaction, and titanium biodistribution studies show low accumulation in distal tissues. Compared to poloxamer-based hydrogels (commonly used for in vivo gelation), Ti<sup>IV</sup>–tannic acid materials show substantially improved in vitro drug loading and release profile for the corticosteroid dexamethasone (from <1 day to >10 days). These results provide essential in vivo characterization for this new class of metal–phenolic hydrogels, and highlight their potential suitability for biomedical applications in areas such as drug delivery and regenerative medicine.<br>


2021 ◽  
pp. 074873042110628
Author(s):  
Blanca Martin-Burgos ◽  
Wanqi Wang ◽  
Ivana William ◽  
Selma Tir ◽  
Innus Mohammad ◽  
...  

Circadian rhythms are driven by daily oscillations of gene expression. An important tool for studying cellular and tissue circadian rhythms is the use of a gene reporter, such as bioluminescence from the reporter gene luciferase controlled by a rhythmically expressed gene of interest. Here we describe methods that allow measurement of circadian bioluminescence from a freely moving mouse housed in a standard cage. Using a LumiCycle In Vivo (Actimetrics), we determined conditions that allow detection of circadian rhythms of bioluminescence from the PER2 reporter, PER2::LUC, in freely behaving mice. The LumiCycle In Vivo applies a background subtraction that corrects for effects of room temperature on photomultiplier tube (PMT) output. We tested delivery of d-luciferin via a subcutaneous minipump and in the drinking water. We demonstrate spikes in bioluminescence associated with drinking bouts. Further, we demonstrate that a synthetic luciferase substrate, CycLuc1, can support circadian rhythms of bioluminescence, even when delivered at a lower concentration than d-luciferin, and can support longer-term studies. A small difference in phase of the PER2::LUC bioluminescence rhythms, with females phase leading males, can be detected with this technique. We share our analysis scripts and suggestions for further improvements in this method. This approach will be straightforward to apply to mice with tissue-specific reporters, allowing insights into responses of specific peripheral clocks to perturbations such as environmental or pharmacological manipulations.


Psych ◽  
2021 ◽  
Vol 3 (4) ◽  
pp. 703-716
Author(s):  
Thom Benjamin Volker ◽  
Gerko Vink

Synthetic datasets simultaneously allow for the dissemination of research data while protecting the privacy and confidentiality of respondents. Generating and analyzing synthetic datasets is straightforward, yet, a synthetic data analysis pipeline is seldom adopted by applied researchers. We outline a simple procedure for generating and analyzing synthetic datasets with the multiple imputation software mice (Version 3.13.15) in R. We demonstrate through simulations that the analysis results obtained on synthetic data yield unbiased and valid inferences and lead to synthetic records that cannot be distinguished from the true data records. The ease of use when synthesizing data with mice along with the validity of inferences obtained through this procedure opens up a wealth of possibilities for data dissemination and further research on initially private data.


2018 ◽  
Author(s):  
T.D. Pereira ◽  
D. E. Aldarondo ◽  
L. Willmore ◽  
M. Kislin ◽  
S. S.-H. Wang ◽  
...  

AbstractRecent work quantifying postural dynamics has attempted to define the repertoire of behaviors performed by an animal. However, a major drawback to these techniques has been their reliance on dimensionality reduction of images which destroys information about which parts of the body are used in each behavior. To address this issue, we introduce a deep learning-based method for pose estimation, LEAP (LEAP Estimates Animal Pose). LEAP automatically predicts the positions of animal body parts using a deep convolutional neural network with as little as 10 frames of labeled data for training. This framework consists of a graphical interface for interactive labeling of body parts and software for training the network and fast prediction on new data (1 hr to train, 185 Hz predictions). We validate LEAP using videos of freely behaving fruit flies (Drosophila melanogaster) and track 32 distinct points on the body to fully describe the pose of the head, body, wings, and legs with an error rate of <3% of the animal’s body length. We recapitulate a number of reported findings on insect gait dynamics and show LEAP’s applicability as the first step in unsupervised behavioral classification. Finally, we extend the method to more challenging imaging situations (pairs of flies moving on a mesh-like background) and movies from freely moving mice (Mus musculus) where we track the full conformation of the head, body, and limbs.


2021 ◽  
Author(s):  
D.P. Leman ◽  
I.A. Chen ◽  
K.A. Bolding ◽  
J. Tai ◽  
L.K. Wilmerding ◽  
...  

AbstractMiniaturized microscopes for head-mounted fluorescence imaging are powerful tools for visualizing neural activity during naturalistic behaviors, but the restricted field of view of first-generation ‘miniscopes’ limits the size of neural populations accessible for imaging. Here we describe a novel miniaturized mesoscope offering cellular-resolution imaging over areas spanning several millimeters in freely moving mice. This system enables comprehensive visualization of activity across entire brain regions or interactions across areas.


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