ePoster

DECODING NEURAL CIRCUITS IN PSYCHIATRIC BEHAVIOR USING A NOVEL INTEGRATED WORKFLOW TO UNDERSTAND THE BRAIN

Meet Jariwalaand 4 co-authors

University of Copenhagen

FENS Forum 2026 (2026)
Barcelona, Spain
Board PS01-07AM-508

Presentation

Date TBA

Board: PS01-07AM-508

Poster preview

DECODING NEURAL CIRCUITS IN PSYCHIATRIC BEHAVIOR USING A NOVEL INTEGRATED WORKFLOW TO UNDERSTAND THE BRAIN poster preview

Event Information

Poster Board

PS01-07AM-508

Abstract

Genetic risk factors are major contributors to psychiatric disorders, yet limited knowledge exists about how these risk factors impair brain circuits to produce disease phenotypes. Better understanding of this process will help us identify potential drug targets acting directly on the vulnerable cell types and circuits. To elucidate how risk factors impact brain circuitry in relation to psychiatric phenotypes, we employed a clinically relevant mouse model of a severe psychiatric genetic risk factors - the 15q13.3 microdeletion. Here, we introduce Psych-TRAP, a novel end-to-end integrated framework of previously optimized techniques to label psychiatric behaviour-associated circuits at the whole brain level and with cellular resolution. Using Psych-TRAP, we permanently labelled transiently active cells (TRAP2 labeling approach) responding to a psychiatric-relevant behavior (social interaction) and quantified their densities across the whole brain (ABBA cell counting and registration). We validated Psych-TRAP by confirming activation in previously known brain areas involved in social interaction. Furthermore, we discovered that impaired social interaction behavior in 15q13.3 microdeletion mice was associated with alterations in the GABAergic component in the activated circuit, mainly mediated by reelin-positive neurons in the prefrontal cortex and by somatostatin-positive neurons in the somatosensory cortex. Thus, Psych-TRAP represents a robust workflow to permanently label transiently active cells during behavior in any psychiatric risk factor models for future circuit manipulations in an unbiased manner that will help to reveal the underlying molecular markers mediating psychiatric behaviours.

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