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7 results for “fiber photometry”

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zenodo48/100

Azcorra2023 - Fiber photometry recordings (pre-processed to get DF/F)

<p>Pre-processed raw data from fiber photometry recordings of different subtypes (Vglut2+, Calb1+, Anxa1+ and Aldh1a1+ as well as&nbsp;DAT+) SNc dopamine neurons labelled with GCaMP6f, as used in Azcorra et al. Nat Neuro 2023. This dataset has been pre-processed to calculate DF/F from the raw data (see below for code and raw data), which are then normalized from 0 to 1 (un-normalized DF/F data can be recovered using the &#39;norm&#39; value included in the dataset).&nbsp;This dataset also includes metadata for each recording&nbsp;(recording location, mouse sex...).&nbsp;</p> <p>The code used to generate this pre-processed data from raw data is available on GitHub (<a href="https://github.com/DombeckLab/Azcorra2023/releases/tag/Azcorra2023">https://github.com/DombeckLab/Azcorra2023/releases/tag/Azcorra2023</a>) and Zenodo (DOI: 10.5281/zenodo.7872052, <a href="https://zenodo.org/record/7872052">https://zenodo.org/record/7872052</a>). The original raw data has been deposited on Zenodo (DOI:&nbsp;10.5281/zenodo.7871634,&nbsp;<a href="https://zenodo.org/record/7871634">https://zenodo.org/record/7871634</a>).&nbsp;The code necessary to analyze this data and generate the figures shown in the manuscript is is found in that same GitHub repository as the pre-processing code above.</p>

opencc-by-4.0Apr 2023View details →
zenodo44/100

Reward perseveration is shaped by GABAA-mediated dopamine pauses: Fiber Photometry Data

<p>Fiber photometry data. These data were used to generate the following figures in the paper "Reward perseveration is shaped by GABAA-mediated dopamine pauses":</p> <ul> <li>Figure 3, all panels</li> <li>Ext. Fig 4, all panels</li> </ul> <p>Specifics of the data:</p> <ul> <li>FiberPho_Cohort_*.zip files contain all of the raw fiber photometry and behavior data for each mouse, grouped by cohort.</li> <li>FiberPho_Histo_Cohort_*.zip files contain the histological images and ROIs for each mouse, grouped by cohort.&nbsp;</li> <li>HTP_grouped_data.zip contains the grouped analysis fiber photometry and behavior MATLAB files for the experimental group.</li> <li>ddHTP_grouped_data.zip contains the grouped analysis fiber photometry and behavior MATLAB files for the control group.</li> <li>The various .csv files contain the summarized mouse, cohort, and analysis details and data.</li> </ul> <p>&nbsp;</p>

opencc-by-4.0Apr 2024View details →
zenodo44/100

Azcorra2023 - Raw fiber photometry recordings

<p>Raw data from fiber photometry recordings of different subtypes (Vglut2+, Calb1+, Anxa1+ and Aldh1a1+ as well as&nbsp;DAT+) SNc dopamine neurons labelled with GCaMP6f, as used in Azcorra et al. Nat Neuro 2023. Metadata for these recordings (recording location, mouse sex...) can be found in the pre-processed dataset (see below).</p> <p>The code used to pre-processed this data to get DF/F&nbsp;is available on GitHub (<a href="https://github.com/DombeckLab/Azcorra2023/releases/tag/Azcorra2023">https://github.com/DombeckLab/Azcorra2023/releases/tag/Azcorra2023</a>) and Zenodo (DOI: 10.5281/zenodo.7872052, <a href="https://zenodo.org/record/7872052">https://zenodo.org/record/7872052</a>). We have also made the pre-processed data available on Zenodo (DOI: 10.5281/zenodo.7871982, <a href="https://zenodo.org/record/7871982">https://zenodo.org/record/7871982</a>). The code necessary to analyze this data and generate the figures shown in the manuscript is is found in that same GitHub repository as the pre-processing code above.</p>

opencc-by-4.0Apr 2023View details →
zenodo40/100

Simultaneous dynamic glucose-enhanced (DGE) MRI and fiber photometry measurements of glucose in the healthy mouse brain

<p>This dataset was acquired for the DGE and fiber photometry study published in NeuroImage ( <a href="https://doi.org/10.1016/j.neuroimage.2022.119762">https://doi.org/10.1016/j.neuroimage.2022.119762</a>).<br> Comprises of three datasets: DGE MRI, fiber photometry and two-photon microscopy.</p>

opencc-by-4.0Nov 2022View details →
dryad36/100

CeA Psilocin fiber photometry study: Data and custom code from experiments looking at changes in calcium dynamics in response to an air puff events

<p>Psilocybin, and its active metabolite psilocin, have been shown to elicit rapid and long-lasting symptom improvements in a variety of affective psychiatric illnesses. However, the specific mechanisms behind these therapeutic effects remain relatively unknown. The central amygdala (CeA) is a primary output region within the extended amygdala that is heavily dysregulated in affective psychiatric disorders. Here, we utilized fiber photometry to measure changes in CeA reactivity to an aversive air puff stimulus after psilocin administration, both acutely and at varying prolonged time points. We found that administration of psilocin increased reactivity acutely in females, but not males. Additionally, we show that one dose of psilocin produced decreases in reactivity in males, but not females, 28-days post administration, with decreases seen as early as 2-days post administration. We further report stimulus-specific changes in CeA reactivity after psilocin with differential responsivity to an aversive air puff stimulus and an auditory stimulus. We also measured changes in behavioral response to the air puff stimulus and report sex differences in exploratory behavior but not threat responding or general locomotion. This study provides evidence that a single dose of psilocin can elicit sex-specific, dynamic, and enduring changes in CeA reactivity to an aversive stimulus. These data are an important step towards dissecting circuit-based mechanisms underlying the effects of psychedelics.</p>

opencc-zeroJun 2022View details →
dryad36/100

CeA Psilocin fiber photometry study: Data and custom code from experiments looking at changes in calcium dynamics in response to an air puff events

Open the record for dataset details and reuse information.

publicNov 2022View details →
zenodo28/100

Neural circuitry for maternal oxytocin release induced by infant cries - Fiber photometry data

<p>Raw fiber photometry dataset from experiments conducted for &quot;Neural circuitry for maternal oxytocin release induced by infant cries&quot; (Valtcheva, Issa et al. 2023).&nbsp;https://doi.org/10.1101/2021.03.25.436883.</p>

opencc-by-4.0Jun 2023View details →

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