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DOI 10.1016/j.neures.2026.105066

Медицинская библиотека · Neuroscience research · 2026

A layer specific histological framework for synaptic quantification in hippocampal CA1.

Ebihara Mizuho, Ichinose Sotaro, Matsumuro Mirei, Iwasaki Hirohide

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Аннотация

Neural circuits mature through coordinated assembly of excitatory and inhibitory synapses, yet quantitative frameworks that preserve laminar and dorsoventral coordinates remain limited. Here, we establish a layer boundary-based pipeline for wide-field tiled immunohistochemistry to quantify PSD-95 and gephyrin puncta across stratum oriens, stratum radiatum, and stratum lacunosum-moleculare within mouse hippocampal CA1. In dorsal CA1, analysis across P8, P16, P24, and P80 revealed layer-dependent maturation patterns, with SLM exhibiting temporally inverted excitatory and inhibitory synaptic trajectories. Because prenatal valproic acid exposure is widely used to model autism-associated neurodevelopmental abnormalities and has been linked to hippocampal circuit disruption, we next examined whether synaptic organization is altered across CA1 layers and along the dorsoventral axis. At P56, a 2 × 2 design comparing control and prenatal VPA exposure across dorsal and ventral axes to assess axis dependent synaptic remodeling. Prenatal valproic acid exposure produced layer- and axis specific alterations in puncta density, mean area, and total area, suggesting nonuniform vulnerability of synaptic architecture. A conductance-based leaky integrate-and-fire model further provided a heuristic translation framework, highlighting membrane potential fluctuations as a candidate readout when excitatory and inhibitory components co-vary. These findings provides a practical foundation for integrating histological, functional, and developmental analyses of hippocampal CA1 circuits.

Для цитирования: Ebihara Mizuho, Ichinose Sotaro, Matsumuro Mirei, Iwasaki Hirohide. A layer specific histological framework for synaptic quantification in hippocampal CA1.. Neuroscience research. 2026. DOI: 10.1016/j.neures.2026.105066.

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