mouse ultrasonic profile extraction (mupet)  (MathWorks Inc)

Journal: Molecular Autism

Article Title: Beyond the three-chamber test: toward a multimodal and objective assessment of social behavior in rodents

doi: 10.1186/s13229-022-00521-6

Figure Lengend Snippet: Available programs used for USV analysis in rodents

Article Snippet: Mouse Ultrasonic Profile ExTraction (MUPET) , An open access MATLAB tool for data-driven analysis of USVs by measuring, learning, and comparing syllable types MUPET uses an automated and unsupervised algorithmic approach for the detection and clustering of syllable types summarized in the following features: Syllable detection by isolating and measuring spectro-temporal syllable variables, followed by analyzing overall vocalization features (syllable number, rate and duration, spectral density, and fundamental frequency) The application of unsupervised machine learning based on k-means clustering to build “syllable repertoire” from the dataset which includes up to several hundreds of the most represented syllable types based on spectral shape similarities within that dataset Similarity measurement between syllable types of two different repertoires using rank order comparisons in a manner that is frequency-independent Centroid-based (k-medoids) cluster analysis of syllable types from different syllable repertoires of different datasets to measure the frequency of use of different syllable types across conditions or strains and identify shared and unique shapes Provides automated time-stamps of syllable events for synchronized analysis with behavior The option for the user to control features regarding noise reduction, minimum and maximum syllable duration, minimum total and peak syllable energy, and the minimum inter-syllable interval needed to separate rapidly successive notes into distinct syllables Cannot detect USVs below 30 kHz [ ] , [ ] .

Techniques: Extraction, Software, Control

Journal: Cell reports

Article Title: Prenatal environmental stressors impair postnatal microglia function and adult behavior in males

doi: 10.1016/j.celrep.2022.111161

Figure Lengend Snippet: (A) Behavioral testing in offspring born to CON and DEP + MS dams. (B) Representative spectrograms of USVs. (C) MUPET syllable classification. (D and E) USV number and total call time at P8 (n = 14–19 mice/condition/sex, two-way ANOVA with Holm-Sidak’s post hoc tests). (F) Repertoire units were organized from shortest to longest and displayed as the absolute difference between group means. (G and H) Schematic of three-chamber social preference test (n = 6–7 mice/condition/sex, two-way ANOVA with Sidak’s multiple comparisons post hoc tests). (I and J) Schematic of three-chamber social novelty preference test. (n = 6–7 mice/condition/sex, two-way ANOVA, with Sidak’s multiple comparisons post hoc tests). (K) Schematic of USV courtship assay. (L and M) Adult USV syllable length and call time (n = 15–17 mice/condition, unpaired t-tests). (N) Repertoire units organized from shortest to longest are displayed as the absolute difference between group means. Means ± SEM.

Article Snippet: For call complexity analysis, WAV files were analyzed using Mouse Ultrasonic Profile ExTraction Tool (MUPET) in MATLAB, which is an unsupervised machine-learning-based algorithm that analyzes vocalization parameters, classifies syllables into distinct repertoires, and compares vocalization patterns between test groups ( ).

Techniques:

Journal: Cell reports

Article Title: Prenatal environmental stressors impair postnatal microglia function and adult behavior in males

doi: 10.1016/j.celrep.2022.111161

Figure Lengend Snippet: KEY RESOURCES TABLE

Article Snippet: For call complexity analysis, WAV files were analyzed using Mouse Ultrasonic Profile ExTraction Tool (MUPET) in MATLAB, which is an unsupervised machine-learning-based algorithm that analyzes vocalization parameters, classifies syllables into distinct repertoires, and compares vocalization patterns between test groups ( ).

Techniques: Staining, Recombinant, Enzyme-linked Immunosorbent Assay, Software, Imaging, Cell Counting