Deep phenotyping reveals movement phenotypes in mouse neurodevelopmental models
ConclusionsOur automated pipeline for deep phenotyping successfully captures model-specific deviations in adaptation and movement as well as differences in the detailed structure of behavioral dynamics. The reported deficits indicate that deep phenotyping constitutes a robust set of ASD symptoms that may be considered for implementation in clinical settings as quantitative diagnosis criteria.
Source: Molecular Autism - Category: Molecular Biology Source Type: research
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