Journal article
Interaction of Cortical and Amygdalar Synaptic Input Modulates the Window of Opportunity for Information Processing in the Rhinal Cortices
eneuro, 2019
DOI 10.1523/eneuro.0020-19.2019 · PubMed 31387874 · PMC6712206Licence: CC-BY-NC-SA-4.0
4 claims from this source
LA (Lateral amygdalar nucleus) MBA:131 functionally connects to CTXpl (Cortical plate) MBA:695 · Mouse
Most deep layer PER-LEC PV interneurons responded to LA stimulation with synaptic currents arriving earlier than in paired principal neurons, though only a minority fired action potentials.
Fig. 6, Fig. 7D-F, Fig. 9
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LA (Lateral amygdalar nucleus) MBA:131 functionally connects to CTXpl (Cortical plate) MBA:695 · Mouse
Stimulating the LA evoked small subthreshold PSPs and synaptic conductances in deep layer PER-LEC principal neurons; both excitatory and inhibitory conductances were abolished by CNQX/APV, indicating glutamatergic input with no direct long-range inhibitory projection, the inhibition arising from local interneurons.
Fig. 1E,G, Fig. 2, Fig. 3, Fig. 5B
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AIp (Agranular insular area, posterior part) MBA:111 functionally connects to CTXpl (Cortical plate) MBA:695 · Mouse
All recorded PV-YFP interneurons in deep PER-LEC layers showed synaptic currents after AiP stimulation, with shorter latency and larger amplitude than neighboring principal neurons, and two thirds fired action potentials, consistent with feedforward inhibition.
Fig. 6, Fig. 7A-C, Fig. 9
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AIp (Agranular insular area, posterior part) MBA:111 functionally connects to CTXpl (Cortical plate) MBA:695 · Mouse
In horizontal mouse slices, electrical stimulation of superficial AiP layers evoked subthreshold postsynaptic potentials and currents in deep layer perirhinal/lateral entorhinal principal neurons, with a small glutamatergic excitatory conductance followed by larger feedforward inhibition; voltage-sensitive dye imaging also showed a PER-LEC network response. Responses did not drive principal neuron spiking.
Fig. 1B-G, Fig. 2, Fig. 3, Fig. 5A
Made by an AI model reading the paper (claude-opus-5-5, extract@0.3.0); a second AI model (claude-opus-5-5) agrees.