Analyzed sessions data structure for all data collected. Data structures include multidimensional behavioral data extracted from video and external sensors as well as simultaneous photometry recordings from multiple locations in the mouse brain. All datasets are aligned to include the first ~1000 trials of learning for >20 animals. A subset of animals received optogenetic perturbations during learning as described in the paper / methods.

This dataset contains quantitative data describing the numbers, densities, and sizes of D1- and D2-receptor positive neurons across the mouse forebrain, acquired by analysing section images from the DOPAMAP collection. Image series from a total of 111 subjects across the five age groups (P17, P25, P35, P49, and P70) were analyzed. We used ilastik to segment cells in the images and combined the resulting segmentation images with reference atlas maps generated using QuickNII and VisuAlign. In this dataset, we provide the segmentation images and reference atlas maps used, as well as the raw output from the analysis and estimates of densities, numbers, and sizes derived from the analysis. We also provide the ilastik classifier used, which may be useful for analysing similar (DAB-stained) data. Together, this dataset provides all the data needed to inspect and explore our data, reproduce our analysis, or re-use the segmentation images with new atlas maps (e.g. with future versions of the Allen mouse brain CCF).

A collection of 1 brain maps. Each brain map is a 3D array of values representing properties of the brain at different locations.

Collection description

Detailed information about the structural subdivision can be found in:
Tziortzi et al. Imaging dopamine receptors in humans with [11C]-(+)-PHNO: dissection of D3 signal and anatomy. NeuroImage 54: 264-77 (2011)

https://fsl.fmrib.ox.ac.uk/fsl/fslwiki/Atlases/striatumstruc

Dopamine receptors play vital roles in processes such as the control of learning, motivation, fine motor control and modulation of neuroendocrine signaling (Giralt JA and Greengard P, 2004). Abnormalities in dopamine receptor signaling may lead to neuropsychiatric disorders such as Parkinson's disease and schizophrenia. Dopamine receptors are prominent in the CNS and the neurotransmitter dopamine is the primary endogenous ligand for these receptors. In humans, there are five distinct types of dopamine receptor, D1-D5. They are subdivided into two families; D1-like family (D1 and D5) which couple with the G protein alpha-s and are excitatory and D2-like family (D2,D3 and D4) which couple with the G protein alpha-i and are inhibitory (Kebabian JW and Calne DB, 1979).

Dopamine neurotransmitter cycle occurs in dopaminergic neurons. Dopamine is synthesized and loaded into the clathrin sculpted monoamine transport vesicles. The vesicles are docked, primed and fused with the plasmamembrane in the synapse to release dopamine into the synaptic cleft.

Goal-directed navigation requires animals to continuously evaluate their current direction and speed of travel relative to landmarks to discern whether they are approaching or deviating from their goal. Striatal dopamine release signals the reward-predictive value of cues1,2, likely contributing to motivation3,4, but it is unclear how dopamine incorporates an animal’s ongoing trajectory for effective behavioral guidance. We demonstrate that cue-evoked striatal dopamine release in mice encodes bi-directional 'trajectory errors' reflecting the relationship between the speed and direction of ongoing movement relative to optimal goal trajectories. Trajectory error signals could be computed from locomotion or visual flow, and were independent from simultaneous dopamine increases reflecting learned cue value. Joint trajectory error and cue value encoding were reproduced by the RPE term in a standard reinforcement learning algorithm with mixed sensorimotor inputs. However, these two signals had distinct state space requirements, suggesting that they could arise from a common reinforcement learning algorithm with distinct neural inputs. Striatum-wide multi-fiber array measurements resolved overlapping, yet temporally and anatomically separable representations of trajectory error and cue-value, indicating how functionally distinct dopamine signals for motivation and guidance are multiplexed across striatal regions to facilitate goal-directed behavior.

Background Though the dysfunction of central dopaminergic system has been proposed, the etiology or pathogenesis of schizophrenia is still uncertain partly due to limited accessibility to dopamine receptor. The purpose of this study was to define whether or not the easily accessible dopamine receptors of peripheral lymphocytes can be the peripheral markers of schizophrenia.

   Results
   44 drug-medicated schizophrenics for more than 3 years, 28 drug-free schizophrenics for more than 3 months, 15 drug-naïve schizophrenic patients, and 31 healthy persons were enrolled. Sequential reverse transcription and quantitative polymerase chain reaction of the mRNA were used to investigate the expression of D3 and D5 dopamine receptors in peripheral lymphocytes. The gene expression of dopamine receptors was compared in each group. After taking antipsychotics in drug-free and drug-naïve patients, the dopamine receptors of peripheral lymphocytes were sequentially studied 2nd week and 8th week after medication.
   In drug-free schizophrenics, D3 dopamine receptor mRNA expression of peripheral lymphocytes significantly increased compared to that of controls and drug-medicated schizophrenics, and D5 dopamine receptor mRNA expression increased compared to that of drug-medicated schizophrenics. After taking antipsychotics, mRNA of dopamine receptors peaked at 2nd week, after which it decreases but the level was above baseline one at 8th week. Drug-free and drug-naïve patients were divided into two groups according to dopamine receptor expression before medications, and the group of patients with increased dopamine receptor expression had more severe psychiatric symptoms.


   Conclusions
   These results reveal that the molecular biologically-determined dopamine receptors of peripheral lymphocytes are reactive, and that increased expression of dopamine receptor in peripheral lymphocyte has possible clinical significance for subgrouping of schizophrenis.

This dataset was curated from the ChEMBL database and further enriched with RDKit-calculated molecular properties. It serves as a valuable resource for cheminformatics and machine learning tasks, particularly in drug-target interaction studies.

The dataset comprises around 3000 instances, each representing a unique molecule and its interaction with dopamine receptors. The key features include:

• ChEMBL ID and SMILES: Molecular identifiers and structure information.
• Experimental Data: EC50 values (nM), pEC50 values (log-transformed potency measure).
• Assay Type and Target Name: Experimental context and receptor subtype targeted - D1, D2, D3, D4 and D5.
• Molecular Descriptors:
• MW: Molecular Weight of the molecule in Da.
• LogP (Lipophilicity): Indicating hydrophobicity.
• H_Donors and H_Acceptors: Indicators of hydrogen bonding capacity.
• TPSA (Topological Polar Surface Area): Important for bioavailability.
• Ring_Count and Rotatable_Bonds: Measures of molecular complexity.

A collection of 12 brain maps. Each brain map is a 3D array of values representing properties of the brain at different locations.

Collection description

Two studies of healthy, human adults examining associations between adult chronological age, dopamine D2-like receptors measured with [18F]Fallypride in one study and [11C]FLB457 in the other study, and neuropsychological measures of cognition and psychomotor speed. Fallypride data set collected at Vanderbilt University in the Zald Lab. FLB457 data set collected at Yale University in the Samanez-Larkin Lab. Data analyzed at Duke University in the Samanez-Larkin Lab.

Detailed methods can be found in the manuscript.

Four groups of this dataset were used as negative samples for testing subtype selectivity of our developed multi-label machine learning models.

See the file README.docx for description of data files.

Social behaviors are among the most notable motivated behaviors that are driven by rewarding goals. However, how dopamine (DA), a reward signal, releases during social behaviors has been unclear. This study used a genetically encoded DA sensor, GRAB_DA2m, to record DA activity in the nucleus accumbens (NAc) core during various social behaviors in male and female mice. They performed optical recording of DA signal by virally expressing Cre-dependent GRAB_DA2m bilaterally in the NAc core of Drd1-Cre mice. This dataset includes fiber photometry, behavioral, and immunohistochemistry data. These results provide complex information encoded by NAc DA activity during social behaviors and their multistage functional roles.

This dataset is used by the research Single-cell genomic profiling of human dopamine neurons identifies a population that selectively degenerates in Parkinson’s disease, it contains the human digital gene expression matrix and the macaque slide seqv2 dataset publish by the authors. - The data for Cross Species analysis are not included.

You can check the result produced by research:

1. Single Cell Analysis
2. Slide Seq

adihydroxyphenylacetic acid metabolite of dopamine.bhomovanillic acid metabolite of dopamine.cn.d. not determined.

This repository includes dataset and python scripts for figure and data analysis of the study "Sequence termination cues drive habit-like strategy via dopamine-mediated processes". This repository is composed of 3 folders; datasets, python scripts and python functions.

Reward motivation is known to enhance cognitive control. However, detrimental effects have also been observed, which have been attributed to overdosing of already high baseline dopamine levels by further dopamine increases elicited by reward cues. Aarts et al. (2014) indeed demonstrated, in 14 individuals, that reward effects depended on striatal dopamine synthesis capacity, measured with [18F]FMT-PET: promised reward improved Stroop control in low-dopamine individuals, while impairing it in high-dopamine individuals. Here, we aimed to assess this same effect in 44 new participants, who had previously undergone an [18F]DOPA-PET scan to quantify dopamine synthesis capacity. This sample performed the exact same rewarded Stroop paradigm as in the prior study. However, we did not find any correlation between reward effects on cognitive control and striatal dopamine synthesis capacity. Critical differences between the radiotracers [18F]DOPA and [18F]FMT are discussed, as the discrepancy between the current and our previous findings might reflect the use of the potentially less sensitive [18F]DOPA radiotracer in the current study.

Relating genetic variations in dopamine brain transmission to task performance with and without rewards

https://doi.org/10.5061/dryad.qnk98sfs5

Description of the data and file structure

Title: Relating genetic variations in dopamine brain transmission to task performance with and without rewards

Contact: Diane Damiano, National Institutes of Health, damianod@cc.nih.gov

Date created: 2024/09/17

Licenses or restrictions: none

Methods for data collection: a specialized computer program that provided instruction to participants, administered all items and recorded reaction time, error rate for SRTT and proportion correct and reaction time for WPT.

Files and variables

File: DOPAMINEALLDATAWORKSHEET.xlsx

Description: Excel file includes participant group, age group at enrollment (1 = 6-10, 2 = 11-15, 3 = 16-20, 4 = 21-25), sex, gene group, individual gene variant scores (COMT = catechol-O -...

Biological Magnetic Resonance Bank Entry bmse000933: Dopamine

Mean pre-to-post-Tx differences in dopamine transporter binding.