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79 results for “mouse behavior”
Data from: An automated platform for high-throughput mouse behavior and physiology with voluntary head-fixation
Recording neural activity during animal behavior is a cornerstone of modern brain research. However, integration of cutting-edge technologies for neural-circuit analysis with complex behavioral measurements poses a severe experimental bottleneck for researchers. Critical problems include a lack of standardization for psychometric and neurometric integration, and lack of tools that can generate large, sharable datasets for the research community in a time and cost effective way. Here, we introduce a novel mouse behavioral-learning platform featuring voluntary head fixation and automated high throughput data collection for integrating complex behavioral assays with virtually any physiological device. We provide experimental validation by demonstrating behavioral training of mice in visual discrimination and auditory detection tasks. To examine facile integration with physiology systems, we coupled the platform to a two-photon microscope for imaging of cortical networks at single-cell resolution. Our behavioral learning and recording platform is a prototype for the next generation of mouse cognitive studies.
Mouse spontaneous behavior reflects individual variation rather than estrous state
<p>Repository containing datasets obtained for Levy et al. 2023, available online here: https://doi.org/10.1016/j.cub.2023.02.035</p> <p>Github link to related analysis code: <a href="https://github.com/dattalab/spontaneous-behavior-reflects-individuality-not-estrous">https://github.com/dattalab/spontaneous-behavior-reflects-individuality-not-estrous</a></p> <p><strong>Abstract</strong></p> <p>Behavior is shaped by both the internal state of an animal and its individual behavioral biases. Rhythmic variation in gonadal hormones during the estrous cycle is a defining feature of female internal state, one that regulates many aspects of sociosexual behavior. However, it remains unclear whether estrous state influences spontaneous behavior, and if so how these effects might relate to individual behavioral variation. Here we address this question by longitudinally characterizing the open field behavior of female mice across different phases of the estrous cycle, using unsupervised machine learning to decompose spontaneous behavior into its constituent elements1-4. We find that each female mouse exhibits a characteristic pattern of exploration that uniquely identifies it as an individual across many experimental sessions; in contrast, estrous state only negligibly impacts behavior, despite its known effects on neural circuits that regulate action selection and movement. Like female mice, male mice exhibit individual specific patterns of behavior in the open field; however, the exploratory behavior of males is significantly more variable than that expressed by females both within and across individuals. These findings suggest an underlying functional stability to the circuits that support exploration in female mice, reveal a surprising degree of specificity in individual behavior, and provide empirical support for the inclusion of both sexes in experiments querying spontaneous behaviors.</p> <p><strong>Behavioral DataFrames:</strong> holds the behavioral syllable data used for the analysis described in the manuscript:</p> <ul> <li>mean_df_female / scalar_df_female - main female dataset</li> <li>mean_df_male / scalar_df_male - main male dataset</li> <li>mean_df_female_control / mean_df_male_control - datasets for male/female control experiment presented in Fig S3.</li> </ul> <p><strong>Model files:</strong></p> <p>Additional MoSeq model files used for generating FigS2A and FigS2H. </p>
Data from: An automated platform for high-throughput mouse behavior and physiology with voluntary head-fixation
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Data from: Are shy individuals less behaviorally variable? Insights from a captive population of mouse lemurs
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Data from: Correlations of behavioral deficits with brain pathology assessed through longitudinal MRI and histopathology in the HDHQ150/Q150 mouse model of Huntington's disease
A variety of mouse models have been developed that express mutant huntingtin (mHTT) leading to aggregates and inclusions that model the molecular pathology observed in Huntington's disease. Here we show that although homozygous HdhQ150 knock-in mice developed motor impairments (rotarod, locomotor activity, grip strength) by 36 weeks of age, cognitive dysfunction (swimming T maze, fear conditioning, odor discrimination, social interaction) was not evident by 94 weeks. Concomitant to behavioral assessments, T2-weighted MRI volume measurements indicated a slower striatal growth with a significant difference between wild type (WT) and HdhQ150 mice being present even at 15 weeks. Indeed, MRI indicated significant volumetric changes prior to the emergence of the "clinical horizon" of motor impairments at 36 weeks of age. A striatal decrease of 27% was observed over 94 weeks with cortex (12%) and hippocampus (21%) also indicating significant atrophy. A hypothesis-free analysis using tensor-based morphometry highlighted further regions undergoing atrophy by contrasting brain growth and regional neurodegeneration. Histology revealed the widespread presence of mHTT aggregates and cellular inclusions. However, there was little evidence of correlations between these outcome measures, potentially indicating that other factors are important in the causal cascade linking the molecular pathology to the emergence of behavioral impairments. In conclusion, the HdhQ150 mouse model replicates many aspects of the human condition, including an extended pre-manifest period prior to the emergence of motor impairments.
Data from: Mapping of genetic factors that elicit intermale aggressive behavior on mouse chromosome 15: intruder effects and the complex genetic basis
Despite high estimates of the heritability of aggressiveness, the genetic basis for individual differences in aggression remains unclear. Previously, we showed that the wild-derived mouse strain MSM/Ms (MSM) exhibits highly aggressive behaviors, and identified chromosome 15 (Chr 15) as the location of one of the genetic factors behind this escalated aggression by using a panel of consomic strains of MSM in a C57BL/6J (B6) background. To understand the genetic effect of Chr 15 derived from MSM in detail, this study examined the aggressive behavior of a Chr 15 consomic strain towards different types of opponent. Our results showed that both resident and intruder animals had to have the same MSM Chr 15 genotype in order for attack bites to increase and attack latency to be reduced, whereas there was an intruder effect of MSM Chr 15 on tail rattle behavior. To narrow down the region that contains the genetic loci involved in the aggression-eliciting effects on Chr 15, we established a panel of subconsomic strains of MSM Chr 15. Analysis of these strains suggested the existence of multiple genes that enhance and suppress aggressive behavior on Chr 15, and these loci interact in a complex way. Regression analysis successfully identified four genetic loci on Chr 15 that influence attack latency, and one genetic locus that partially elicits aggressive behaviors was narrowed down to a 4.1-Mbp region (from 68.40 Mb to 72.50 Mb) on Chr 15.
Data from: Non-genomic transmission of paternal behavior between fathers and sons in the monogamous and biparental California mouse
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Data from: Correlations of behavioral deficits with brain pathology assessed through longitudinal MRI and histopathology in the HDHQ150/Q150 mouse model of Huntington's disease
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Data from: Mapping of genetic factors that elicit intermale aggressive behavior on mouse chromosome 15: intruder effects and the complex genetic basis
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Feminized behavior and gene expression in the BNST/POA in a novel mouse model of Klinefelter Syndrome
GEO Series GSE48783. Mus musculus. 31 samples. Type: Expression profiling by array.
SAP97 Regulates Behavior and Expression of Schizophrenia Risk Enriched Gene Sets in Mouse Hippocampus
GEO Series GSE117067. Mus musculus. 8 samples. Type: Expression profiling by high throughput sequencing.
Targeting Notch signaling to restore neural development and behavior in mouse models of ASD [RNAseq_htr]
GEO Series GSE293296. Mus musculus. 12 samples. Type: Expression profiling by high throughput sequencing.
Whole brain delivery of an instability-prone Mecp2 transgene improves behavioral and molecular pathological defects in mouse models of Rett syndrome
GEO Series GSE125155. Mus musculus. 12 samples. Type: Expression profiling by high throughput sequencing.
A Upf3b-mutant mouse model with behavioral and neurogenesis defects
GEO Series GSE99112. Mus musculus. 12 samples. Type: Expression profiling by high throughput sequencing.
Feminized behavior and gene expression in the striatum in a novel mouse model of Klinefelter Syndrome
GEO Series GSE48784. Mus musculus. 38 samples. Type: Expression profiling by array.
MAPK Signaling Determines Anxiety in the Juvenile Mouse Brain but Depression-like Behavior in Adults
GEO Series GSE33618. Mus musculus. 36 samples. Type: Expression profiling by array.
Adult mouse hippocampal transcriptome changes associated with long-term behavioral and metabolic effects of gestational air pollution toxicity
GEO Series GSE147842. Mus musculus. 20 samples. Type: Expression profiling by high throughput sequencing.
Gain of bipolar disorder-related lncRNA AP1AR-DT in mice induces depressive and anxiety-like behaviors by reducing Negr1-mediated excitatory synaptic transmission [Mouse RNA-seq]
GEO Series GSE272753. Mus musculus. 6 samples. Type: Expression profiling by high throughput sequencing.
NfκB signaling dynamics and their target genes differ between mouse blood cell types and induce distinct cell behavior
GEO Series GSE199404. Mus musculus. 282 samples. Type: Genome binding/occupancy profiling by high throughput sequencing.
Heterotypic mouse models of canine osteosarcoma recapitulate tumor heterogeneity and biological behavior
GEO Series GSE89835. Canis lupus familiaris; Mus musculus. 12 samples. Type: Expression profiling by high throughput sequencing.
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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
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.
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.
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.
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.
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.