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322 results for “dopaminergic”

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zenodo48/100

Neurothreads: development of supportive carriers for mature dopaminergic neuron differentiation and implantation

<p>Raw data for the publication:</p> <p><strong>Neurothreads: development of supportive carriers for mature dopaminergic neuron differentiation and implantation</strong></p>

opencc-by-4.0Jan 2020View details →
zenodo44/100

BIDS Data for "A Whole-Brain Map and Assay Parameter Analysis of Mouse VTA Dopaminergic Activation"

<p>Base data package for the &ldquo;&quot;A Whole-Brain Map and Assay Parameter Analysis of Mouse VTA Dopaminergic Activation&rdquo; article, formatted corresponding to the Brain Imaging Data Structure.</p>

opencc-by-4.0Jun 2019View details →
zenodo44/100

Original single session datasets from "Slowly evolving dopaminergic activity modulates the moment-to-moment probability of reward-related self-timed movements."

<p>This archive contains the original&nbsp;single-session recording datasets associated with the paper &quot;Slowly evolving dopaminergic activity modulates the moment-to-moment probability of reward-related self-timed movements&quot; by Allison E Hamilos, Giulia Spedicato, Ye Hong, Fangmiao Sun, Yulong Li, and John A Assad (https://doi.org/10.1101/2020.05.13.094904). Files can be loaded and collated with code from our GitHub repository to reproduce all analyses (https://www.github.com/harvardschoolofmouse).</p>

opencc-by-4.0May 2020View details →
zenodo40/100

Raw dataset and additional data for article "Nonmotor symptoms associated with progressive loss of dopaminergic neurons in a mouse model of Parkinson's disease"

<p>Dataset from the project investigating the presence of nonmotor symptoms of Parkinson's disease in a mouse model of progressive loss of dopaminergic neurons&nbsp;(namely,TIF-IADATCreERT2&nbsp;strain). Mice&nbsp;were tested for executive and cognitive functions (males: Operant Sensation Seeking test, OSS; females: Probabilistic Reversal Learning Task in Intellicages), olfactory acuity (males: buried food test), saccharin preference (males and females), and motor performance (males and females: test using CatWalk apparatus).</p><p>The dataset includes files used to perform statistical analyses but their names may vary from the ones used in the scripts. For the purpose of recreating our analyses, please refer to the GitHub page, where both scripts and input data file names (in 'Raw data files' section) are compliant:&nbsp;https://github.com/annaradli/tif-pd-behavior.</p><p><strong>Description of files:</strong></p><p><i>Raw data files:</i></p><ul><li>animals_info.csv - animals data: genotype, sex, age, Intellicage tag identifier</li><li>catwalk_run_statistics_all_females.csv - data recorded in CatWalk apparatus for females</li><li>catwalk_run_statistics_all_males.csv - data recorded in CatWalk apparatus for males</li><li>females_weight_raw_data_revised.csv - females' body weight&nbsp; (revised for containing Polish words)</li><li>intellicage_raw_data.csv -&nbsp;data recorded in IntelliCage exported to .csv format</li><li>intellicage_raw_data_R.RData - data recorded in IntelliCage in .RData format</li><li>males_weight_raw_data.csv - males' body weight</li><li>olfactory_time_digging_raw_data.csv - time to start digging at the right place in the buried food test</li><li>olfactory_time_retrieve_raw_data.csv- time to retrieve cracker in the buried food test</li><li>oss_raw_data.csv - data recorded in the OSS test</li><li>saccharin_preference_males_raw_data.csv - saccharin preference test results for males</li><li>snvta_cells_count.csv - number of TH+ cells in SN and VTA in male mice (3+3) 14 weeks after tamoxifen treatment</li></ul><p><i>Additional data files:</i></p><ul><li>all_anova.xlsx - summary of two-way ANOVAs of all behavioral tests and weight measurements for males and females</li><li>catwalk_complete.xlsx - CatWalk complete dataset with datapoints</li><li>catwalk_correlation_between_paws.xlsx - correlation coefficients of CatWalk parameters between&nbsp;the&nbsp;left and right paws</li><li>catwalk_reduced.xlsx - CatWalk parameters used in linear regression model reduction of data</li><li>intelli.xlsx - IntelliCage data summarized in bins</li><li>oss.xlsx - operant sensation-seeking data</li></ul><p>v2 contains the&nbsp;corrected 'animals_info.csv' file without an unnecessary column.</p><p>v3 has a revised version of file containing females' weight measurements and also added a file with midbrain cell counts</p><p>v4 has a whole section of 'Additional data files' added</p>

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

Electrophysiological data of the paper 'Serotonergic and dopaminergic neurons in the dorsal raphe are differentially altered in a mouse model for parkinsonism'

<p>This excel data set contains the electrophysiological data presented in the paper including figure 1I, 1J, figure 3, figure 5, suppl. figure 2A, suppl. figure 3, suppl. figure 6E, 6G, 6L &amp; 6N.</p> <p>&nbsp;</p> <p>More information about how the data was extracted can be found in the materials and methods section of the paper.&nbsp;&nbsp;</p>

opencc-by-4.0May 2024View details →
zenodo40/100

Figure 4 in Perinatal exposure to a high-fat diet alters proopiomelanocortin, neuropeptide Y and dopaminergic receptors gene expression and the food preference in offspring adult rats

Figure 4. Body weight on the 120th offspring from mothers submitted the control diet or the high-fat diet. Values are presented as mean ± SEM using two-way ANOVA followed by the Bonferroni multiple-comparison test. *p&lt;0,05; **p&lt;0,005.

opencc-by-4.0Dec 2022View details →
zenodo40/100

Figure 3 in Perinatal exposure to a high-fat diet alters proopiomelanocortin, neuropeptide Y and dopaminergic receptors gene expression and the food preference in offspring adult rats

Figure 3. Body weight on the second day life's of offspring from mothers submitted the control diet (C) or the high-fat diet (H). Values are presented as mean + SEM using Student t-test. C: n = 23; H: n = 23.

opencc-by-4.0Dec 2022View details →
zenodo40/100

Figure 2 in Perinatal exposure to a high-fat diet alters proopiomelanocortin, neuropeptide Y and dopaminergic receptors gene expression and the food preference in offspring adult rats

Figure 2. Pomc (A) and npy (B) gene expression in the hypothalamus of offspring exposed or not to a control diet or high-fat diet during perinatal and/or postnatal period. Values are presented as mean ± SEM using two-way ANOVA followed by the Bonferroni multiplecomparison test. Level of significance: *p&lt;0,05; "a": compared to CC, "b": compared to CH; "c": compared to HC; "d": compared to HH.

opencc-by-4.0Dec 2022View details →
zenodo40/100

Figure 1. Drd1 in Perinatal exposure to a high-fat diet alters proopiomelanocortin, neuropeptide Y and dopaminergic receptors gene expression and the food preference in offspring adult rats

Figure 1. Drd1 (A) and drd2 (B) gene expression in the nucleus accumbens of offspring exposed or not to a control diet or high-fat diet during perinatal and/or postnatal period. Values are presented as mean ± SEM using two-way ANOVA followed by the Bonferroni multiplecomparison test. Level of significance: *p&lt;0,05; "a": compared to CC, "b": compared to CH; "c": compared to HC; "d": compared to HH.

opencc-by-4.0Dec 2022View details →
dryad40/100

Data from: Loss of primary cilia and dopaminergic neuroprotection in pathogenic LRRK2driven and idiopathic Parkinson’s disease

Open the record for dataset details and reuse information.

publicJun 2024View details →
dryad36/100

Data from: Developmental Dieldrin exposure alters DNA methylation at genes related to dopaminergic neuron development and Parkinson's disease in mouse midbrain

Human and animal studies have shown that exposure to the organochlorine pesticide dieldrin is associated with increased risk of Parkinson's disease (PD). Despite previous work showing a link between developmental dieldrin exposure and increased neuronal susceptibility to MPTP toxicity in male C57BL/6 mice, the mechanism mediating this effect has not been identified. Here, we tested the hypothesis that developmental exposure to dieldrin increases neuronal susceptibility via genome-wide changes in DNA methylation. Starting at 8 weeks of age and prior to mating, female C57BL/6 mice were exposed to 0.3 mg/kg dieldrin by feeding (every 3 days) throughout breeding, gestation, and lactation. At 12 weeks of age, pups were sacrificed and ventral mesencephalon, containing primarily substantia nigra, were microdissected. DNA was isolated and dieldrin-related changes in DNA methylation were assessed via reduced representation bisulfite sequencing (RRBS). We identified significant, sex-specific differentially methylated CpGs (DMCs) and regions (DMRs) by developmental dieldrin exposure (FDRNr4a2 and Lmx1b genes, which are involved in dopaminergic neuron development and maintenance. Developmental dieldrin exposure had distinct effects on the male and female epigenome. Together, our data suggest that developmental dieldrin exposure establishes sex-specific poised epigenetic states early in life. These poised epigenomes may mediate sensitivity to subsequent toxic stimuli and contribute to the development of late-life neurodegenerative disease, including PD.

opencc-zeroDec 2018View details →
dryad36/100

Synaptic vesicle glycoprotein 2C enhances vesicular storage of dopamine and counters dopaminergic toxicity

<p>Dopaminergic neurons of the substantia nigra exist in a persistent state of vulnerability resulting from high baseline oxidative stress, high energy demand, and broad unmyelinated axonal arborizations. Impairments in the storage of dopamine compound this stress due to cytosolic reactions that transform the vital neurotransmitter into an endogenous neurotoxicant, and this toxicity is thought to contribute to the dopamine neuron degeneration that occurs Parkinson's disease. We have previously identified synaptic vesicle glycoprotein 2C (SV2C) as a modifier of vesicular dopamine function, demonstrating that genetic ablation of SV2C in mice results in decreased dopamine content and evoked dopamine release in the striatum. Here, we adapted a previously published in vitro assay utilizing false fluorescent neurotransmitter 206 (FFN206) to visualize how SV2C regulates vesicular dopamine dynamics and identified that SV2C promotes the uptake and retention of FFN206 within vesicles. In addition, we present data indicating that SV2C enhances the retention of dopamine in the vesicular compartment with radiolabeled dopamine in vesicles isolated from immortalized cells and from mouse brain. Further, we demonstrate that SV2C enhances the ability of vesicles to store the neurotoxicant 1-methyl-4-phenylpyridinium (MPP+) and that genetic ablation of SV2C results in enhanced 1-methyl-4-phenyl-1,2,3,6-tetrahydropyridine (MPTP)-induced vulnerability in mice. Together, these findings establish that SV2C functions to enhance storage of dopamine and toxicants and helps maintain the integrity of dopaminergic neurons.</p>

opencc-zeroApr 2024View details →
zenodo36/100

The Cellular and Extra-Cellular Proteomic Signature of Human Dopaminergic Neurons Carrying the LRRK2 G2019S Mutation

<p>The provided data sets were generated during the work described in "The Cellular and Extra-Cellular Proteomic Signature of Human Dopaminergic Neurons Carrying the LRRK2 G2019S Mutation" published in Frontiers in Neuroscience, 2024.</p> <p>They contain the results from our differential expression analysis of our raw DIA Protemic Data as well as a list of input data for GO analyses.</p>

opencc-by-4.0Nov 2024View details →
zenodo36/100

Medial prefrontal cortex and anteromedial thalamus interaction regulates motivation related behavior and dopaminergic neuron activity: Animal Behavior

<p>The excel Source DATA file contains the data described in Figures 2c, 2d, 2f, and 3b and Supplementary Figure 3b and 3c. The fiber photometry data described in Supplementary Figure 9 are found in the CSV files. The CSV file names reflect animal IDs.&nbsp;</p>

opencc-by-3.0-usDec 2021View details →
zenodo36/100

Source data for "Ca2+ channels couple spiking to mitochondrial metabolism in substantia nigra dopaminergic neurons"

<p><strong>Fig.1Aa-c.tif</strong></p> <p>2PLSM images (Fura-2 filled neuron) used for the reconstruction in Fig.1A</p> <p>&nbsp;</p> <p><strong>Fig1CDJ.xlsx</strong></p> <p>Numerical data for the charts in Fig. 1C, Fig.1D, Fig.1J</p> <p>&nbsp;</p> <p><strong>Fig.1F_GCEPIA1er.tif</strong></p> <p>Confocal image (green channel, G-CEPIA1er) for Fig. 1F</p> <p>&nbsp;</p> <p><strong>Fig.1F_TH.tif</strong></p> <p>Confocal image (blue channel, anti-TH immunostaining) for Fig. 1F</p> <p>&nbsp;</p> <p><strong>Fig.1G_GCEPIA1er.tif</strong></p> <p>Confocal image (green channel, G-CEPIA1er) for Fig. 1G</p> <p>&nbsp;</p> <p><strong>Fig.1G_CRT.tif</strong></p> <p>Confocal image (magenta channel, anti-CRT immunostaining) for Fig. 1G</p> <p>&nbsp;</p> <p><strong>Fig.1H_GCEPIA1er.tif</strong></p> <p>Confocal image (green channel, G-CEPIA1er) for Fig. 1H</p> <p>&nbsp;</p> <p><strong>Fig.1H_TH.tif</strong></p> <p>Confocal image (blue channel, anti-TH immunostaining) for Fig. 1H</p> <p>&nbsp;</p> <p><strong>Fig. 2B_mitoGCaMP6.tif</strong></p> <p>Confocal image (green channel, mito-GCaMP6) for Fig. 2B</p> <p>&nbsp;</p> <p><strong>Fig.2B_TH.tif</strong></p> <p>Confocal image (blue channel, anti-TH immunostaining) for Fig. 2B</p> <p>&nbsp;</p> <p><strong>Fig. 2C_mitoGCaMP6.tif</strong></p> <p>Confocal image (green channel, mito-GCaMP6) for Fig. 2C</p> <p>&nbsp;</p> <p><strong>Fig.2C_COXIV.tif</strong></p> <p>Confocal image (magenta channel, anti-COXIV immunostaining) for Fig. 2C</p> <p>&nbsp;</p> <p><strong>Fig. 2D_mitoGCaMP6.tif</strong></p> <p>Confocal image (green channel, mito-GCaMP6) for Fig. 2D</p> <p>&nbsp;</p> <p><strong>Fig.2D_TH.tif</strong></p> <p>Confocal image (blue channel, anti-TH immunostaining) for Fig. 2D</p> <p>&nbsp;</p> <p><strong>Fig.2FGJL.xlsx</strong></p> <p>Numerical data for the charts in Fig. 2F, Fig.2G, Fig.2J, Fig.2L</p> <p>&nbsp;</p> <p><strong>Fig.3BDE.xlsx</strong></p> <p>Numerical data for the charts in Fig. 3B, Fig.3D, Fig.3E</p> <p>&nbsp;</p> <p><strong>Fig.3C_Alexa.tif</strong></p> <p>MAX Projection of z-stack of 2PLSM images (magenta channel, Alexa 594 dye) used to generate Fig.3C top panel</p> <p>&nbsp;</p> <p><strong>Fig.3C_mitoGCaMP6.tif</strong></p> <p>MAX Projection of&nbsp;z-stack of 2PLSM images (green channel, mito-GCaMP6) used to generate Fig.3C top panel</p> <p>&nbsp;</p> <p><strong>Fig.3C_inset_dendritic_mitoGCaMP6.tif</strong></p> <p>2PLSM image (green channel, mito-GCaMP6) for Fig.3C bottom left panel</p> <p>&nbsp;</p> <p><strong>Fig.3C_inset_soma_mitoGCaMP6.tif</strong></p> <p>2PLSM image (green channel, mito-GCaMP6) for Fig.3C bottom right panel</p> <p>&nbsp;</p> <p><strong>Fig. 4A_PercevalHR.tif</strong></p> <p>Confocal image (green channel, PercevalHR) for Fig.4A</p> <p>&nbsp;</p> <p><strong>Fig.4A_TH.tif</strong></p> <p>Confocal image (blue channel, anti-TH immunostaining) for Fig.4A</p> <p>&nbsp;</p> <p><strong>Fig. 4B_PercevalHR.tif</strong></p> <p>Confocal image (green channel, PercevalHR) for Fig.4B</p> <p>&nbsp;</p> <p><strong>Fig.4B_TH.tif</strong></p> <p>Confocal image (blue channel, anti-TH immunostaining) for Fig.4B</p> <p>&nbsp;</p> <p><strong>Fig.4G.xlsx</strong></p> <p>Numerical data for the charts in Fig.4G</p> <p>&nbsp;</p> <p><strong>Fig.5BDFHI.xlsx</strong></p> <p>Numerical data for the charts in Fig.5B, Fig.5D, Fig.5F, Fig.5H, Fig.5I</p> <p>&nbsp;</p> <p><strong>Fig.6ADEFJKLN.xlsx</strong></p> <p>Numerical data for the charts in Fig.6A, Fig.6D, Fig.6E, Fig.6F, Fig.6J, Fig.6K, Fig.6L, Fig.6N</p> <p>&nbsp;</p> <p><strong>Fig.6H_mitoroGFP.tif</strong></p> <p>2PLSM image (green channel, mito-roGFP) for Fig.6H</p> <p>&nbsp;</p> <p><strong>Fig.6M_MCU-KO.tif</strong></p> <p>Combined EM micrographs used to generate Fig. 6M right side</p> <p>&nbsp;</p> <p><strong>Fig.6M_wildtype.tif</strong></p> <p>Combined EM micrographs used to generate Fig. 6M left side</p> <p>&nbsp;</p> <p><strong>Fig.7CEFG.xlsx</strong></p> <p>Numerical data for the charts in Fig.7C, Fig.7E, Fig.7F, Fig.7G</p> <p>&nbsp;</p> <p><strong>Fig.8CEHJK.xlsx</strong></p> <p>Numerical data for the charts in Fig.8C, Fig.8E, Fig.8H, Fig.8J, Fig.8K</p> <p>&nbsp;</p> <p><strong>Fig.S1A_bottom.tif</strong></p> <p>2PLSM image (green channel, G-CEPIA1er) for Fig.S1A bottom panel (low Ca2+)</p> <p>&nbsp;</p> <p><strong>Fig.S1A_top.tif</strong></p> <p>2PLSM image (green channel, G-CEPIA1er) for Fig.S1A top panel (high Ca2+)</p> <p>&nbsp;</p> <p><strong>Fig.S1B.xlsx</strong></p> <p>Numerical data for the chart in Fig.S1B</p> <p>&nbsp;</p> <p><strong>Fig.S2A_baseline.tif</strong></p> <p>2PLSM image (green channel, mito-GCaMP6) for Fig.S2A middle panel (baseline)</p> <p>&nbsp;</p> <p><strong>Fig.S2A_MAX.tif</strong></p> <p>2PLSM image (green channel, mito-GCaMP6) for Fig.S2A top panel (high Ca2+)</p> <p>&nbsp;</p> <p><strong>Fig.S2A_min.tif</strong></p> <p>2PLSM image (green channel, mito-GCaMP6) for Fig.S2A bottom panel (low Ca2+)</p> <p>&nbsp;</p> <p><strong>Fig.S2C_baseline.tif</strong></p> <p>2PLSM image (green channel, mito-GCaMP6) for Fig.S2C middle panel (baseline)</p> <p>&nbsp;</p> <p><strong>Fig.S2C_MAX.tif</strong></p> <p>2PLSM image (green channel, mito-GCaMP6) for Fig.S2C top panel (high Ca2+)</p> <p>&nbsp;</p> <p><strong>Fig.S2C_min.tif</strong></p> <p>2PLSM image (green channel, mito-GCaMP6) for Fig.S2C bottom panel (low Ca2+)</p> <p>&nbsp;</p> <p><strong>Fig.S2E_baseline.tif</strong></p> <p>2PLSM image (green channel, mito-GCaMP6) for Fig.S2E bottom left panel (baseline)</p> <p>&nbsp;</p> <p><strong>Fig.S2E_end.tif</strong></p> <p>2PLSM image (green channel, mito-GCaMP6) for Fig.S2E bottom right panel</p> <p>&nbsp;</p> <p><strong>Fig.S2E_peak.tif</strong></p> <p>2PLSM image (green channel, mito-GCaMP6) for Fig.S2E bottom center panel</p> <p>&nbsp;</p> <p><strong>Fig.S2F.xlsx</strong></p> <p>Numerical data for the chart in Fig.S2F</p> <p>&nbsp;</p> <p><strong>Fig.S3ABC.xlsx</strong></p> <p>Numerical data for the charts in Fig.S3A, Fig.S3B, Fig.S3C</p> <p>&nbsp;</p> <p><strong>Fig.S4CD.xlsx</strong></p> <p>Numerical data for the charts in Fig.S4C, Fig.S4D</p> <p>&nbsp;</p> <p><strong>Fig.S5ABC.xlsx</strong></p> <p>Numerical data for the charts in Fig.S5A, Fig.S5B, Fig.S5C</p> <p>&nbsp;</p> <p><strong>Fig.S7A.tif</strong></p> <p>2PLSM image (green channel, GCaMP6) for Fig.S7A</p> <p>&nbsp;</p> <p><strong>Fig.S7CEFGH.xlsx</strong></p> <p>Numerical data for the charts in Fig.S7C, Fig.S7E, Fig.S7F, Fig.S7G, Fig.S7H</p> <p>&nbsp;</p> <p><strong>Fig.S8ABCDEF.xlsx</strong></p> <p>Numerical data for the charts in Fig.S8A, Fig.S8B, Fig.S8C, Fig.S8D, Fig.S8E, Fig.S8F</p> <p>&nbsp;</p> <p><strong>Fig.S9AHIJK.xlsx</strong></p> <p>Numerical data for the charts in Fig.S9A, Fig.S9H, Fig.S9I, Fig.S9J, Fig.S9K</p> <p>&nbsp;</p> <p><strong>Fig.S9B_wildtype_DLStr.tif</strong></p> <p>Confocal image of dorso-laterateral striatum in wildtype mouse (red channel, anti-TH immunostaining) for Fig.S9B</p> <p>&nbsp;</p> <p><strong>Fig.S9C_MCU-KO_DLStr.tif</strong></p> <p>Confocal image of dorso-laterateral striatum in MCU-KO mouse (red channel, anti-TH immunostaining) for Fig.S9C</p> <p>&nbsp;</p> <p><strong>Fig.S9D_wildtype_SN.tif</strong></p> <p>Confocal image of midbrain in wildtype mouse (red channel, anti-TH immunostaining) for Fig.S9D</p> <p>&nbsp;</p> <p><strong>Fig.S9E_MCU-KO_SN.tif</strong></p> <p>Confocal image of midbrain in MCU-KO mouse (red channel, anti-TH immunostaining) for Fig.S9E</p> <p>&nbsp;</p> <p><strong>Fig.S9F_wildtype_openfield.png</strong></p> <p>Open field path tracked for wildtype mouse for Fig.S9F</p> <p>&nbsp;</p> <p><strong>Fig.S9G_MCU-KO_openfield.png</strong></p> <p>Open field path tracked for MCU-KO mouse for Fig.S9G</p> <p>&nbsp;</p> <p><strong>Fig.S10A.xlsx</strong></p> <p>Numerical data for the charts in Fig.S10A</p>

opencc-by-4.0Aug 2022View details →
zenodo36/100

Table 2 in Perinatal exposure to a high-fat diet alters proopiomelanocortin, neuropeptide Y and dopaminergic receptors gene expression and the food preference in offspring adult rats

<p><b>Table 2.</b> Relative food intake of the high-fat diet and control diet during the food preference study in offspring exposed or not a control diet or high-fat diet during perinatal and/or postnatal period.</p><table><tbody><tr><th></th><th><i>High-fat diet (g/100 g body weight)</i></th><th></th></tr></tbody><tbody><tr><th></th><td><i>102&ordm; day</i></td><td><i>110&ordm; day</i></td><td><i>116&ordm; day</i></td></tr><tr><th><i>CC</i></th><td>12.6 &plusmn; 0.6</td><td>11.3 &plusmn; 0.2</td><td>11.1 &plusmn; 0.7</td></tr><tr><th><i>CH</i></th><td>12.8 &plusmn; 0.6</td><td>12.4 &plusmn; 0.3</td><td>11.4 &plusmn; 0.4</td></tr><tr><th><i>HC</i></th><td>16.7 &plusmn; 1.1 <b>a.b*</b></td><td>13.7 &plusmn; 0.9</td><td>10.0 &plusmn; 0.5</td></tr><tr><th><i>HH</i></th><td>15.3 &plusmn; 0.7 <b>a.b*</b></td><td>11.7 &plusmn; 0.9</td><td>10.7 &plusmn; 0.5</td></tr><tr><th></th><td><i>Control diet (g/100 g body weight)</i></td><td></td></tr><tr><th></th><td><i>102&ordm; day</i></td><td><i>110&ordm; day</i></td><td><i>116&ordm; day</i></td></tr><tr><th><i>CC</i></th><td>1.4 &plusmn; 0.2</td><td>1.1 &plusmn; 0.1</td><td>1.1 &plusmn; 0.3</td></tr><tr><th><i>CH</i></th><td>2.1 &plusmn; 0.2</td><td>1.5 &plusmn; 0.3</td><td>0.9 &plusmn; 0.1</td></tr><tr><th><i>HC</i></th><td>1.8 &plusmn; 0.2</td><td>1.0 &plusmn; 0.3</td><td>1.0 &plusmn; 0.3</td></tr><tr><th><i>HH</i></th><td>1.9 &plusmn; 0.2</td><td>1.1 &plusmn; 0.2</td><td>0.7 &plusmn; 0.1</td></tr></tbody></table><p>Values are presented as mean + SEM using two-way ANOVA followed by the Bonferroni multiple-comparison test. *p&lt;0,005; &ldquo;a&rdquo;: compared to CC, &ldquo;b&rdquo;: compared to CH; &ldquo;c&rdquo;: compared to HC; &ldquo;d&rdquo;: compared to HH.</p>

opencc-by-4.0Dec 2022View details →
zenodo36/100

Table 1 in Perinatal exposure to a high-fat diet alters proopiomelanocortin, neuropeptide Y and dopaminergic receptors gene expression and the food preference in offspring adult rats

<p><b>Table 1.</b> Experimental design. The rats were fed commercial standard diet for rodents control diet or high-fat diet during pregnancy, lactation and post-weaning (up to 100 days of life).During the feeding period, rats consumed both diets (control diet and high-fat diet). The numbers in parentheses indicate the animals number in each nutritional group.</p><table><tbody><tr><th><b>Experimental Design</b></th></tr></tbody><tbody><tr><th><b>Genitors (n)</b></th><td><b>Gestation and lactation</b></td><td><b>Offspring during lactation (n)</b></td><td><b>Offspring (n)</b></td><td><b>Post-weaning (21-100&deg; life&rsquo;s day)</b></td><td><b>Food preference (102-116&ordm; life&rsquo;s day)</b></td></tr><tr><th></th><td></td><td></td><td>CC (12)</td><td>Control diet</td><td>Control diet</td></tr><tr><th></th><td></td><td></td><td></td><td></td><td>High-fat diet</td></tr><tr><th>GC (5)</th><td>Control diet</td><td>C (23)</td><td>CH (11)</td><td>High-fat diet</td><td>Control diet</td></tr><tr><th></th><td></td><td></td><td></td><td></td><td>High-fat diet</td></tr><tr><th></th><td></td><td></td><td>HC (11)</td><td>Control diet</td><td>Control diet</td></tr><tr><th></th><td></td><td></td><td></td><td></td><td>High-fat diet</td></tr><tr><th>GH (5)</th><td>High-fat diet</td><td>H (23)</td><td>HH (12)</td><td>High-fat diet</td><td>Control diet</td></tr><tr><th></th><td></td><td></td><td></td><td></td><td>High-fat diet</td></tr></tbody></table>

opencc-by-4.0Dec 2022View details →
zenodo36/100

Action Prediction Error: a value-free dopaminergic teaching signal that drives stable learning - Behavioral dataset

<p>Behavioral data to reproduce figures of this paper: https://doi.org/10.1101/2022.09.12.507572</p> <p>See Github repository:&nbsp;https://github.com/HernandoMV/APE_paper</p>

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

An unbiased, automated platform for scoring dopaminergic neurodegeneration in C. elegans

<p><em><span>Caenorhabditis elegans</span></em><span> (<em>C. elegans</em>) has served as a simple model organism to study dopaminergic neurodegeneration, as it enables quantitative analysis of cellular and sub-cellular morphologies in live animals. These isogenic nematodes have a rapid life cycle and transparent body, making high-throughput imaging and evaluation of fluorescently tagged neurons possible. However, the current state-of-the-art method for quantifying dopaminergic degeneration requires researchers to manually examine images and score dendrites into groups of varying levels of neurodegeneration severity, which is time-consuming, subject to bias, and limited in data sensitivity. We aim to overcome the pitfalls of manual neuron scoring by developing an automated, unbiased image processing algorithm to quantify dopaminergic neurodegeneration in <em>C. elegans</em>. The algorithm can be used on images acquired with different microscopy setups and only requires two inputs: a maximum projection image of the four cephalic neurons in the <em>C. elegans</em> head and the pixel size of the user's camera. We validate the platform by detecting and quantifying neurodegeneration in nematodes exposed to rotenone, cold shock, and 6-hydroxydopamine using 63x epifluorescence, 63x confocal, and 40x epifluorescence microscopy, respectively. Analysis of tubby mutant worms with altered fat storage showed that, contrary to our hypothesis, increased adiposity did not sensitize to stressor-induced neurodegeneration.  We further verify the accuracy of</span><span> the</span><span> algorithm by comparing code-generated, categorical degeneration results with manually scored dendrites of the same experiments. The platform, which detects 19 different metrics of neurodegeneration, can provide comparative insight into how each exposure affects dopaminergic neurodegeneration patterns. </span></p>

opencc-zeroMay 2023View details →
ClinicalTrials.gov36/100

Dopaminergic Modulation of Brain Activation Using Simultaneous PET/Pharmacological MRI

ClinicalTrials.gov study NCT03326245. IPD Sharing: NO. Countries: 1. Publications: 4.

closedIPD-NOFeb 2026View details →

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Allen Brain Atlas

Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.

allen-brain-atlas
neuroscienceopenDocumentation, web resources, and API references are available online.
Last verified 2026-04-30Open record

Annotated Behaviour and Observability Dataset (ABODe)

ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.

abode-home-cage
behavioral-neuroscienceopenThe DataShare record exposes download links for annotations, documentation, license text, and the zipped per-snippet data directory.
Last verified 2026-04-30Open record

DANDI Archive for NWB datasets

DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.

dandi-nwb
electrophysiologyopenPublished Dandiset metadata and archive endpoints are available through the production DANDI API.
Last verified 2026-04-30Open record

International Brain Laboratory public data

The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.

ibl
behavioral-neuroscienceopenPublic sessions can be searched and loaded from the IBL public data server through ONE.
Last verified 2026-04-29Open record

OpenNeuro

OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.

openneuro
neuroscienceopenPublished datasets are available on demand over the internet.
Last verified 2026-04-29Open record