ArticleNeuroSci2026
Multimodal Behavior Scoring Quantifies Depression-like Severity Across Chronic Stress Models and Identifies Stress-Resilient Mice.
Article in NeuroSci, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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9 authors.
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Abstract
Rodent models, especially chronic stress paradigms, are essential in depression research, yet existing behavioral assessments often struggle to capture pathophysiological heterogeneity. We developed the Multimodal Behavior Scoring (MBS) algorithm, which integrates results from standard behavioral tests (sucrose preference, open field, and forced swim tests) into a single severity metric. Validated in two distinct chronic stress models (CUMS and CSDS), MBS reliably distinguished stressed from control mice and demonstrated high cross-cohort reproducibility. Furthermore, MBS successfully stratified stress-resilient subpopulations and revealed model-specific phenotypic patterns. By providing an integrative, biologically grounded framework, MBS enhances the resolution of chronic stress-induced behavioral phenotyping and may support future biomarker discovery and pharmacological validation studies.
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