title: The spatial dimensions of electrically coupled networks of interneurons in the neocortex.
abstract: Inhibitory interneurons of the neocortex are electrically coupled to cells of the same type through gap junctions. We studied the spatial organization of two types of interneurons in the rat somatosensory cortex: fast-spiking (FS) parvalbumin-immunoreactive (PV+) cells, and low threshold-spiking (LTS) somatostatin-immunoreactive (SS+) cells. Paired recordings in layer 4 demonstrated that both the probability of coupling and the coupling coefficient drop steeply with intersomatic distance, reaching zero beyond 200 microm. The dendritic arbors of FS and LTS cells were reconstructed from electrophysiologically characterized, biocytin-filled cells; the two cell types had only minor differences in the number and span of their dendrites. However, there was a markedly higher density of PV+ cells than SS+ cells. PV+ cells were densest in layer 4, while SS+ cell density peaked in the subgranular layers. From these data we estimate that there is measurable electrical coupling (directly or indirectly via intermediary cells) between each interneuron and 20-50 others. The large number of electrical synapses implies that each interneuron participates in a large, continuous syncytium. To evaluate the functional significance of these findings, we examined several simple architectures of coupled networks analytically. We present a mathematical method to estimate the average summated coupling conductance that each cell receives from all of its neighbors, and the average leak conductance of individual cells, and we suggest that these have the same order of magnitude. These quantitative results have important implications for the effects of electrical coupling on the dynamic behavior of interneuron networks.
authors.affiliation: Department of Neuroscience, Brown University, Providence, Rhode Island 02912, USA. yaela@bgumail.bgu.ac.il
authors.forename: Yael
authors.initials: Y
authors.lastname: Amitai
authors.forename: Jay R
authors.initials: JR
authors.lastname: Gibson
authors.forename: Michael
authors.initials: M
authors.lastname: Beierlein
authors.forename: Saundra L
authors.initials: SL
authors.lastname: Patrick
authors.forename: Alice M
authors.initials: AM
authors.lastname: Ho
authors.forename: Barry W
authors.initials: BW
authors.lastname: Connors
authors.forename: David
authors.initials: D
authors.lastname: Golomb
mesh_terms: D000200:Action Potentials / Q000502:physiology; D000818:Animals; D001931:Brain Mapping; D002452:Cell Count; D017629:Gap Junctions / Q000502:physiology; D007150:Immunohistochemistry; D066298:In Vitro Techniques; D007395:Interneurons / Q000166:cytology* / Q000378:metabolism / Q000502:physiology; D008239:Lysine / Q000031:analogs & derivatives*; D008959:Models, Neurological; D019579:Neocortex / Q000166:cytology* / Q000502:physiology; D009415:Nerve Net / Q000166:cytology* / Q000502:physiology; D009433:Neural Inhibition / Q000502:physiology; D016571:Neural Networks, Computer; D010320:Parvalbumins / Q000096:biosynthesis; D051381:Rats; D017207:Rats, Sprague-Dawley; D013003:Somatosensory Cortex / Q000166:cytology* / Q000378:metabolism / Q000502:physiology; D013004:Somatostatin / Q000096:biosynthesis; D009435:Synaptic Transmission / Q000502:physiology
chemical_list: D010320:Parvalbumins; D013004:Somatostatin; C013411:biocytin; D008239:Lysine