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Berardi, N.

Publications and source records attributed to Berardi, N..

2 recordsLinked to original sources

Short-term monocular deprivation engages rapid, inhibition-gated ocular dominance plasticity in mouse visual cortex

Ocular dominance (OD) plasticity has long served as a canonical model of experience-dependent cortical plasticity, traditionally thought to be confined to a developmental critical period. Recent human studies, however, show that brief monocular deprivation of just a few hours induces rapid and fully reversible OD shifts, revealing a form of homeostatic plasticity that persists into adulthood. The underlying cellular and circuit mechanisms remain unknown, largely due to the lack of suitable preclinical models. Here, we establish and validate a mouse model of short-term monocular deprivation that closely recapitulates the temporal dynamics observed in humans. Using in vivo electrophysiology in awake mice, we show that two hours of monocular deprivation induce robust yet reversible OD shifts in adult visual cortex, and even larger shifts during the critical period. These shifts are driven by reciprocal modulation of eye-specific cortical responses, with enhanced visual evoked potentials from the deprived eye and concurrent suppression of the non-deprived eye. Chemogenetic manipulation of parvalbumin-positive (PV) interneurons reveals a causal, bidirectional role for PV-mediated inhibition in gating this plasticity: transient PV suppression amplifies OD shifts to juvenile-like levels, whereas PV enhancement constrains or abolishes them. Together, these findings identify a fast, inhibition-gated form of homeostatic OD plasticity operating across developmental stages. This tractable model bridges human perceptual plasticity with defined circuit mechanisms and offers a foundation for developing translational strategies for visual disorders such as amblyopia.

neuroscience↗

Automated assessment of the mouse body-language reveals pervasive behavioral disruption in a two-hit model of psychiatric vulnerability

The influence of early-life experiences is widely acknowledged as a crafting tool that sculpts complex behavioral patterns and well-being of living organisms. The use of preclinical models can provide invaluable insight into how a negative environmental push interplays with genetic make-up in shaping psychiatric vulnerability. However, the assessment of psychiatric traits in cross-species studies often relies on the use of surrogate metrics as a proxy for the internal state, limiting the interpretation to context-dependent outcomes. In this work, we exploited a validated computational tool for digitalized ethological screening to identify spontaneous hallmarks of altered behavioral functioning in a dual-hit mouse model of psychiatric vulnerability. To do so, mice carrying heterozygous deletion of the gene coding for Contactin-associated protein-like 2 (Cntnap2+/-) and their wild-type (WT) littermates were raised with limited bedding and nesting (LBN). These animals were compared to both WT and Cntnap2+/- mice raised in standard conditions, mapping their spontaneous behavior during freely-moving exploration. Our data show that descriptors of motility state or surrogate anxiety indicators largely failed in detecting subtle diversion from control conditions. By contrast, automated segmentation of the body-language revealed a significant impact of both genotype and early-life experience in shaping the spontaneous behavioral programming. Thus, using unsupervised clustering, we unveiled two alternative neurobehavioral profiles within our dataset. We found that one of the identified profiles largely overlapped with Cntnap2+/- mice raised with LBN, while the other was equally shared among controls. We conclude that the coincidence of early-life adversity and Cntnap2 haploinsufficiency drastically reshapes behavioral structure in rodents. SIGNIFICANCE STATEMENTEnhancing the predictive and face validity of preclinical models in psychiatric research remains a significant challenge due to the inherent heterogeneity and complexity of these conditions. While animal models are crucial for understanding the risk factors involved, replicating the full complexity of these conditions continues to pose difficulties. In this study, we use a tool for digitalized behavioral screening to investigate emotional hallmarks in a double-hit (environmental and genetic) mouse model of vulnerability for psychiatric disorder, glimpsing subliminal behavioral disturbances not captured with traditional assessments. Our findings highlight the effectiveness of novel computational tools in identifying subtle behavioral deviations and support the hypothesis that gene-environment interaction contributes to shape alternative behavioral structure in mice.

neuroscience↗