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The European journal of neuroscience, 2019-06, Vol.49 (11), p.1388-1399
2019
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Details

Autor(en) / Beteiligte
Titel
Convergent synaptic inputs to layer 1 cells of mouse cortex
Ist Teil von
  • The European journal of neuroscience, 2019-06, Vol.49 (11), p.1388-1399
Ort / Verlag
France: Wiley Subscription Services, Inc
Erscheinungsjahr
2019
Quelle
EBSCOhost Psychology and Behavioral Sciences Collection
Beschreibungen/Notizen
  • We used whole cell recordings from slice preparations of mouse cortex to identify various inputs to neurons of layer 1. Two sensory cortical areas were targeted: a primary somatosensory area, namely, the barrel cortex of S1, and a higher order visual area, namely, V2M. Results were similar from both areas. By activating local inputs using photostimulation with caged glutamate, we also identified glutamatergic (and possibly GABAergic) inputs from all lower layers plus GABAergic inputs from nearby layer 1 neurons. However, the patterns of such inputs to layer 1 neurons showed great variation among cells. In separate experiments, we found that electrical stimulation of axons running parallel to the cortical surface in layer 1 also evoked a variety of convergent input types to layer 1 neurons, including glutamatergic “drivers” and “modulators” plus classic modulatory inputs, including serotonergic, nicotinic, α‐ and β‐adrenergic, from subcortical sites. Given that these layer 1 cells significantly affect the responses of other cortical neurons, especially via affecting the apical dendrites of pyramidal cells so important to cortical functioning, their role in cortical processing is significant. We believe that the data presented here lead to better understanding of the functioning of layer 1 neurons in their role of influencing cortical processing. Layer 1 neurons received convergent glutamatergic and GABAergic inputs from layer 2/3 and lower cortical laminae, GABAergic inputs from nearby layer 1 cells, long‐range cortical projections, and subcortical inputs from matrix thalamus and neuromodulator systems.
Sprache
Englisch
Identifikatoren
ISSN: 0953-816X
eISSN: 1460-9568
DOI: 10.1111/ejn.14324
Titel-ID: cdi_proquest_miscellaneous_2160731753

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