bioRxiv Science⌕ Search

Biology subjects

Lee, J. Q.

Publications and source records attributed to Lee, J. Q..

3 recordsLinked to original sources

Social valence dictates sex differences in identity recognition

Social valence is the directional emotional significance affiliated with social experiences. Maladaptive processing of negative social valence (NSV) has been linked to mood disorder susceptibility, which is more prevalent in women. To determine whether there are sex differences in NSV processing, we developed social valence tasks where the identity recognition of conspecifics with distinct valences served as the readout. Male mice demonstrated identity recognition regardless of social valence. Conversely, female mice did not show identity recognition following the NSV task. In vivo calcium imaging of the dorsal CA1 further revealed sex differences in NSV processing with reduced hippocampal representation of social information in female mice. These results suggest the imprecise encoding of NSV may contribute to the heightened vulnerability to social stress-related mood disorders in women.

neuroscience↗

Identifying representational structure in CA1 to benchmark theoretical models of cognitive mapping

Decades of theoretical and empirical work have suggested the hippocampus instantiates some form of a cognitive map. Yet, tests of competing theories have been limited in scope and largely qualitative in nature. Here, we develop a novel framework to benchmark model predictions against observed neuronal population dynamics as animals navigate a series of geometrically distinct environments. In this task space, we show a representational structure in the dynamics of hippocampal remapping that generalizes across brains, discriminates between competing theoretical models, and effectively constrains biologically viable model parameters. With this approach, we find that accurate models capture the correspondence in spatial coding of a changing environment. The present dataset and framework thus serve to empirically evaluate and advance theories of cognitive mapping in the brain. HIGHLIGHTSO_LIWe identify representational structure in CA1 remapping that is reliable across brains. C_LIO_LIWe directly compare models of cognitive mapping to this representation in CA1. C_LIO_LIModels based on local boundary distance and direction predict CA1 representation. C_LIO_LIThis approach reveals a biologically viable parameter space for model predictions. C_LIO_LIAccurate models capture the correspondence of spatial codes across environments. C_LI

neuroscience↗

Behaviour-driven Arc expression is greater in dorsal than ventral CA1 regardless of task or sex differences.

Evidence from genetic, behavioural, anatomical, and physiological study suggests that the hippocampus functionally differs across its longitudinal (dorsoventral or septotemporal) axis. Although, how to best characterize functional and representational differences in the hippocampus across its long axis remains unclear. While some suggest that the hippocampus can be divided into dorsal and ventral subregions that support distinct cognitive functions, others posit that these regions vary in their granularity of representation, wherein spatial-temporal resolution decreases in the ventral (temporal) direction. Importantly, the cognitive and granular hypotheses make distinct predictions on cellular recruitment dynamics under conditions when animals perform tasks with qualitatively different cognitive-behavioural demands. The cognitive function account implies that dorsal and ventral cellular recruitment differs depending on relevant behavioural demands, while the granularity account suggests similar recruitment dynamics regardless of the nature of the task performed. Here, we quantified cellular recruitment with the immediate early gene (IEG) Arc across the entire longitudinal CA1 axis in female and male rats performing spatial- and fear-guided memory tasks. Our results show that recruitment is greater in dorsal than ventral CA1 regardless of task or sex. This experimentum crucis leads to the strong inference that the granularity hypothesis for functional differences across the longitudinal axis in the rodent hippocampus is correct.

neuroscience↗