ArticleCerebral cortex (New York, N.Y. : 1991)2018
Morphological and Functional Characterization of Non-fast-Spiking GABAergic Interneurons in Layer 4 Microcircuitry of Rat Barrel Cortex.
Article in Cerebral cortex (New York, N.Y. : 1991), 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
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16 citing papers in PubMed.
- Endosomal 2Cl-/H+ exchangers regulate neuronal excitability by tuning Kv7/KCNQ channel density.Brain : a journal of neurology · 2025Article
- An AI Agent for cell-type specific brain computer interfaces.bioRxiv : the preprint server for biology · 2025Article
- FOXP2-immunoreactive corticothalamic neurons in neocortical layers 6a and 6b are tightly regulated by neuromodulatory systems.iScience · 2025Article
- A layered microcircuit model of somatosensory cortex with three interneuron types and cell-type-specific short-term plasticity.Cerebral cortex (New York, N.Y. : 1991) · 2024Article
- Mapping of morpho-electric features to molecular identity of cortical inhibitory neurons.PLoS computational biology · 2023Article
- Layer 6A Pyramidal Cell Subtypes Form Synaptic Microcircuits with Distinct Functional and Structural Properties.Cerebral cortex (New York, N.Y. : 1991) · 2022Article
- Cell-Type Specific Neuromodulation of Excitatory and Inhibitory NeuronsFrontiers in neural circuits · 2022Article
- VIP-Expressing GABAergic Neurons: Disinhibitory vs. Inhibitory Motif and Its Role in Communication Across Neocortical Areas.Frontiers in cellular neuroscience · 2022Review
- Layer-Specific Inhibitory Microcircuits of Layer 6 Interneurons in Rat Prefrontal Cortex.Cerebral cortex (New York, N.Y. : 1991) · 2021Article
- Axonal Tree Morphology and Signal Propagation Dynamics Improve Interneuron Classification.Neuroinformatics · 2020Article
- Article
- Density Visualization Pipeline: A Tool for Cellular and Network Density Visualization and Analysis.Frontiers in computational neuroscience · 2020Article
- Unveiling the Synaptic Function and Structure Using Paired Recordings From Synaptically Coupled Neurons.Frontiers in synaptic neuroscience · 2020Review
- Layer 4 of mouse neocortex differs in cell types and circuit organization between sensory areas.Nature communications · 2019Article
- Alternative classifications of neurons based on physiological properties and synaptic responses, a computational study.Scientific reports · 2019Article
- Two types of somatostatin-expressing GABAergic interneurons in the superficial layers of the mouse cingulate cortex.PloS one · 2018Article
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4 authors.
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No grant is acknowledged in the PubMed record.
Abstract
GABAergic interneurons are notorious for their heterogeneity, despite constituting a small fraction of the neuronal population in the neocortex. Classification of interneurons is crucial for understanding their widespread cortical functions as they provide a complex and dynamic network, balancing excitation and inhibition. Here, we investigated different types of non-fast-spiking (nFS) interneurons in Layer 4 (L4) of rat barrel cortex using whole-cell patch-clamp recordings with biocytin-filling. Based on a quantitative analysis on a combination of morphological and electrophysiological parameters, we identified 5 distinct types of L4 nFS interneurons: 1) trans-columnar projecting interneurons, 2) locally projecting non-Martinotti-like interneurons, 3) supra-granular projecting Martinotti-like interneurons, 4) intra-columnar projecting VIP-like interneurons, and 5) locally projecting neurogliaform-like interneurons. Trans-columnar projecting interneurons are one of the most striking interneuron types, which have not been described so far in Layer 4. They feature extensive axonal collateralization not only in their home barrel but also in adjacent barrels. Furthermore, we identified that most of the L4 nFS interneurons express somatostatin, while few are positive for the transcription factor Prox1. The morphological and electrophysiological characterization of different L4 nFS interneuron types presented here provides insights into their synaptic connectivity and functional role in cortical information processing.
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