Continuous OFT-Based Behavioral Phenotyping Reveals Neural Stem Cell-Associated Shifts in Depression-Like Mice

Background: Depression-like phenotypes in animal models often show graded behavioral variation rather than uniform group-wise changes, yet treatment effects are still commonly evaluated using categorical comparisons. In particular, it remains difficult to determine whether treated animals retain model-like behavioral features or shift toward a more control-like state. Here, we developed a continuous behavioral phenotyping framework based on multidimensional open-field-test (OFT) features to quantify model-like behavioral states and treatment-associated behavioral shifts. Methods: In the present dataset, untreated CUMS- and LPS-induced mice jointly defined a shared model-like behavioral state characterized by reduced locomotor activity and altered spatial exploration. By integrating principal component analysis with k-nearest-neighbor-based behavioral inference, we derived two complementary indices: Δd, representing the relative distance of an animal from the model-like versus control-like behavioral centroids, and p_depression, a kNN-derived score representing similarity to the untreated model-like reference state. These indices were used to position individual animals along a spectrum between control-like and model-like behavioral states. Results: Higher p_depression and lower Δd indicated OFT phenotypes more similar to untreated model mice. Using this framework, NSC-treated animals showed treatment-associated shifts away from model-like behavioral patterns and toward more control-like states, while preserving substantial inter-individual variability. Behavioral scores also showed group-level correspondence with neuroinflammatory markers, suggesting preliminary biological relevance. Because the primary model-specific biological comparisons were based on a limited subgroup size (n = 4 per group), the observed NSC-associated treatment effects should be regarded as exploratory and require confirmation in larger, prospectively powered cohorts. Conclusions: Together, these findings support continuous OFT-based behavioral phenotyping as a promising exploratory approach for evaluating treatment-associated behavioral change and phenotypic heterogeneity in preclinical depression research.

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Publication Details

Journal
Brain Sciences
Published
2026-08-26
DOI
https://doi.org/10.3390/brainsci16090909
Primary Topic
Zebrafish Biomedical Research Applications
Type
article
Field-Weighted Citation Impact
0.00

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article

Continuous OFT-Based Behavioral Phenotyping Reveals Neural Stem Cell-Associated Shifts in Depression-Like Mice

Lin Fu, Guanzhen Lin, Han Wang, Caixia Wu et al.
Brain Sciences
Zebrafish Biomedical Research Applications
article

Continuous OFT-Based Behavioral Phenotyping Reveals Neural Stem Cell-Associated Shifts in Depression-Like Mice

Lin Fu, Guanzhen Lin, Han Wang, Caixia Wu, Xianjie Li, Zhaoming Liu, Dantong Wang, Tingxin Lu
article en

Abstract

Background: Depression-like phenotypes in animal models often show graded behavioral variation rather than uniform group-wise changes, yet treatment effects are still commonly evaluated using categorical comparisons. In particular, it remains difficult to determine whether treated animals retain model-like behavioral features or shift toward a more control-like state. Here, we developed a continuous behavioral phenotyping framework based on multidimensional open-field-test (OFT) features to quantify model-like behavioral states and treatment-associated behavioral shifts. Methods: In the present dataset, untreated CUMS- and LPS-induced mice jointly defined a shared model-like behavioral state characterized by reduced locomotor activity and altered spatial exploration. By integrating principal component analysis with k-nearest-neighbor-based behavioral inference, we derived two complementary indices: Δd, representing the relative distance of an animal from the model-like versus control-like behavioral centroids, and p_depression, a kNN-derived score representing similarity to the untreated model-like reference state. These indices were used to position individual animals along a spectrum between control-like and model-like behavioral states. Results: Higher p_depression and lower Δd indicated OFT phenotypes more similar to untreated model mice. Using this framework, NSC-treated animals showed treatment-associated shifts away from model-like behavioral patterns and toward more control-like states, while preserving substantial inter-individual variability. Behavioral scores also showed group-level correspondence with neuroinflammatory markers, suggesting preliminary biological relevance. Because the primary model-specific biological comparisons were based on a limited subgroup size (n = 4 per group), the observed NSC-associated treatment effects should be regarded as exploratory and require confirmation in larger, prospectively powered cohorts. Conclusions: Together, these findings support continuous OFT-based behavioral phenotyping as a promising exploratory approach for evaluating treatment-associated behavioral change and phenotypic heterogeneity in preclinical depression research.

Brain SciencesVol. 16(9)
Chinese Academy of Sciences (CN), Guangzhou Institutes of Biomedicine and Health (CN), Guangdong Academy of Sciences (CN), South China University of Technology (CN)
Natural Science Foundation of Guangdong Province, Guangdong Academy of Sciences
Good health and well-being
Openalex Percentile: Top 14%
Zebrafish Biomedical Research Applications
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