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This dataset explores the relationship between social media usage patterns, reward-seeking behavior, attention, productivity, and digital wellbeing.
The dataset contains 300 synthetic participant records with demographic information, social media behavior, screen-time habits, sleep and exercise patterns, attention-related measures, productivity indicators, and digital wellbeing metrics.
It is designed for exploratory data analysis, visualization, statistical analysis, feature engineering, and machine learning practice.
The dataset includes variables covering:
This dataset can be used to investigate questions such as:
The dataset is synthetic and intended primarily for educational, exploratory, and machine-learning purposes. It does not represent a clinical population and should not be used to make medical or psychological diagnoses.
All participant records are synthetic. The dataset should be interpreted as a simulated dataset for research practice rather than as evidence of causal relationships between social media use, dopamine, mental health, or productivity.
This dataset is suitable for:
Because the data are synthetic and many variables are self-reported or simulated, relationships observed in the dataset should not be generalized to real-world populations.
No causal conclusions should be drawn from correlations within this dataset.
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Experiments examined functional differences between mouse ventral tegmental area neurons that release dopamine and glutamate (glutamate-dopamine neurons), dopamine without glutamate (nonglutamate-dopamine neurons), and glutamate without dopamine or GABA (glutamate-only neurons). Dataset includes in situ hybridization, neuronal recordings, and behavioral examinations
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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.
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A collection of 12 brain maps. Each brain map is a 3D array of values representing properties of the brain at different locations.
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.
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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:
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TwitterBackground 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.
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Dopamine is an organic chemical of the catecholamine and phenethylamine families that plays several important roles in the brain and body. It is an amine synthesized by removing a carboxyl group from a molecule of its precursor chemical L-DOPA, which is synthesized in the brain and kidneys. Dopamine is also synthesized in plants and most animals. The dopamine system plays a central role in several significant medical conditions, including Parkinson's disease. Parkinson's disease is an age-related disorder characterized by movement disorders such as stiffness of the body, slowing of movement, and trembling of limbs when they are not in use. The main symptoms are caused by the loss of dopamine-secreting cells in the substantia nigra. These dopamine cells are especially vulnerable to damage, and a variety of insults, including encephalitis (as depicted in the book and movie "Awakenings"), repeated sports-related concussions, and some forms of chemical poisoning such as MPTP, can lead to substantial cell loss, producing a parkinsonian syndrome that is similar in its main features to Parkinson's disease. The most widely used treatment for parkinsonism is administration of L-DOPA, the metabolic precursor for dopamine. L-DOPA is converted to dopamine in the brain and various parts of the body by the enzyme DOPA decarboxylase. L-DOPA is used rather than dopamine itself because, unlike dopamine, it is capable of crossing the blood-brain barrier. Description source: Wikipedia. Proteins on this pathway have targeted assays available via the CPTAC Assay Portal.
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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.
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TwitterSee the file README.docx for description of data files.
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TwitterGoal-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.
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TwitterWe tested pre and post-surgeried (optogenetically exciting vs. inhibiting) tyrosine hydroxylase positive (TH+) neurons of substantia nigra pars compacta while mice produced at least a 3s-long interval by depressing a lever for reward.
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TwitterIntroduction: The nematode, Caenorhabditis elegans (C. elegans), is an advantageous model for studying developmental toxicology due to its well defined developmental stages and homology to humans. It has been established that across species, dopaminergic neurons are highly vulnerable to neurotoxicant exposure, resulting in developmental neuronal dysfunction and age-induced degeneration. C. elegans, with genetic perturbations in dopamine system proteins, can provide insight into the mechanisms of dopaminergic neurotoxicants. In this study, we present a comprehensive analysis on the effect of gene mutations in dopamine-related proteins on body size, development, and behavior in C. elegans. Methods: We studied C. elegans that lack the ability to sequester dopamine (OK411) and that overproduce dopamine (UA57) and a novel strain (MBIA) generated by the genetic crossing of OK411 and UA57, which both lack the ability to sequester dopamine into vesicles and, additionally, endogenously overprodu..., , , # Effect of altered production and storage of dopamine on development and behavior in C. elegans
https://doi.org/10.5061/dryad.hhmgqnkpf
This dataset contains the raw data corresponding to the manuscript "Effect of altered production and storage of dopamine on development and behavior in C. elegans." The data presented here was in effort to understand and characterize the role of dopamine neurotransmission in C. elegans development utilizing genetic models. A novel strain was generated that lacks the protein cat-1, which is responsible for vesicular sequestration of dopamine, and over-expresses the gene cat-2, which is responsible for dopamine synthesis. Thus, this novel strain (MBIA) has compounded effects on the amount of cytosolic dopamine. We characterized this strain, the parent strains used to generate MBIA, and wild-type C. elegans to determine what role dopamine synthesis and sequestration has on body size, development through lar...
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Corpus-verified analysis of 298 PubMed studies on Dopamine Antagonists. Includes evidence scores, research domain classification, study type breakdown, and velocity metrics.
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BackgoundThe purpose of this study was to assess the biological and clinical effects of n-acetyl-cysteine (NAC) in Parkinson’s disease (PD).MethodsThe overarching goal of this pilot study was to generate additional data about potentially protective properties of NAC in PD, using an in vitro and in vivo approach. In preparation for the clinical study we performed a cell tissue culture study with human embryonic stem cell (hESC)-derived midbrain dopamine (mDA) neurons that were treated with rotenone as a model for PD. The primary outcome in the cell tissue cultures was the number of cells that survived the insult with the neurotoxin rotenone. In the clinical study, patients continued their standard of care and were randomized to receive either daily NAC or were a waitlist control. Patients were evaluated before and after 3 months of receiving the NAC with DaTscan to measure dopamine transporter (DAT) binding and the Unified Parkinson’s Disease Rating Scale (UPDRS) to measure clinical symptoms.ResultsThe cell line study showed that NAC exposure resulted in significantly more mDA neurons surviving after exposure to rotenone compared to no NAC, consistent with the protective effects of NAC previously observed. The clinical study showed significantly increased DAT binding in the caudate and putamen (mean increase ranging from 4.4% to 7.8%; p
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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.
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TwitterDetailed methods can be found in the manuscript.
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Raw Data for publication titled Chronic hyperactivation of midbrain dopamine neurons causes preferential dopamine neuron degeneration.
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TwitterWe recently provided evidence that an intrinsic reward-related signal-triggered by successful learning in absence of any external feedback-modulated the entrance of new information into long-term memory via the activation of the dopaminergic midbrain, hippocampus, and ventral striatum (the SN/VTA-Hippocampal loop; Ripollés et al., 2016). Here, we used a double-blind, within-subject randomized pharmacological intervention to test whether this learning process is indeed dopamine-dependent. A group of healthy individuals completed three behavioral sessions of a language-learning task after the intake of different pharmacological treatments: a dopaminergic precursor, a dopamine receptor antagonist or a placebo. Results show that the pharmacological intervention modulated behavioral measures of both learning and pleasantness, inducing memory benefits after 24 hours only for those participants with a high sensitivity to reward. These results provide causal evide nce for a dopamine-dependent ...
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TwitterDataset DOI: 10.5061/dryad.zgmsbccsf
This dataset contains data from the published paper titled "Dopamine subsystems that track internal states" published by Grove et al., in Nature, 2022. This article can be accessed here: https://www.nature.com/articles/s41586-022-04954-0. We have submitted the raw data for this manuscript, with each file containing the data necessary to replicate the graphs in each main figure. Each sheet contains data separated by subfigure, and, where relevant, by graphs within that subfigure. The top row of each sheet contains additional information about the data structure.
This dataset contains the data underlying the main figures presented in Grove et al., 2022. Data are provided as Microsoft Excel (.xlsx) files, where each file corresponds to a primary figu...
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TwitterBackground Dopamine was shown to stimulate the perivitelline fluid secretion by the albumen gland. Even though the albumen gland has been shown to contain catecholaminergic fibers and its innervation has been studied, the type of catecholamines, distribution of fibers and the precise source of this neural innervation has not yet been deduced. This study was designed to address these issues and examine the correlation between dopamine concentration and the sexual status of snails.
Results
Dopaminergic neurons were found in all ganglia except the pleural and right parietal, and their axons in all ganglia and major nerves of the brain. In the albumen gland dopaminergic axons formed a nerve tract in the central region, and a uniform net in other areas. Neuronal cell bodies were present in the vicinity of the axons. Dopamine was a major catecholamine in the brain and the albumen gland. No significant difference in dopamine quantity was found when the brain and the albumen gland of randomly mating, virgin and first time mated snails were compared.
Conclusions
Our results represent the first detailed studies regarding the catecholamine innervation and quantitation of neurotransmitters in the albumen gland. In this study we localized catecholaminergic neurons and axons in the albumen gland and the brain, identified these neurons and axons as dopaminergic, reported monoamines present in the albumen gland and the brain, and compared the dopamine content in the brain and the albumen gland of randomly mating, virgin and first time mated snails.
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This dataset explores the relationship between social media usage patterns, reward-seeking behavior, attention, productivity, and digital wellbeing.
The dataset contains 300 synthetic participant records with demographic information, social media behavior, screen-time habits, sleep and exercise patterns, attention-related measures, productivity indicators, and digital wellbeing metrics.
It is designed for exploratory data analysis, visualization, statistical analysis, feature engineering, and machine learning practice.
The dataset includes variables covering:
This dataset can be used to investigate questions such as:
The dataset is synthetic and intended primarily for educational, exploratory, and machine-learning purposes. It does not represent a clinical population and should not be used to make medical or psychological diagnoses.
All participant records are synthetic. The dataset should be interpreted as a simulated dataset for research practice rather than as evidence of causal relationships between social media use, dopamine, mental health, or productivity.
This dataset is suitable for:
Because the data are synthetic and many variables are self-reported or simulated, relationships observed in the dataset should not be generalized to real-world populations.
No causal conclusions should be drawn from correlations within this dataset.