Characterizing interneuron and pyramidal cells in the human medial temporal lobe in vivo using extracellular recordings.

TitleCharacterizing interneuron and pyramidal cells in the human medial temporal lobe in vivo using extracellular recordings.
Publication TypeJournal Article
Year of Publication2007
AuthorsViskontas, IV, Ekstrom AD, Wilson CL, Fried I
JournalHippocampus
Volume17
Issue1
Pagination49-57
Date Published2007
ISSN1050-9631
KeywordsAction Potentials, Amygdala, Brain Mapping, Electrophysiology, Hippocampus, Humans, Interneurons, Pyramidal Cells, Sleep Stages, Temporal Lobe
Abstract

The goal of this study was to characterize the electrophysiological features of single neurons recorded deep within the medial temporal lobes in humans. Using three physiological criteria to distinguish principal cells and interneurons (firing rate, burst propensity, and action potential waveform) and a large data set of human single neurons (585) from thirteen patients, we show that single neurons in the human MTL separate into two distinct classes comparable to the pyramidal cell and interneuron classes described in animals. We also find that the four different MTL brain regions that we examined (amygdala, hippocampus, entorhinal cortex, and posterior parahippocampal cortex) show unique action potential characteristics, which may in turn relate to the role that neurons from these regions play in behavior. A subset of cells were recorded while patients engaged in both slow-wave (SWS) and rapid-eye movement (REM) sleep and a comparison of the electrophysiological features during these different sleep stages showed that interneurons tended to burst more during SWS compared to REM, while only principal cells in the EC and hippocampus showed a greater propensity for bursting during SWS. Together, our results support the idea that human single neurons have electrophysiologically identifiable cell types, similar to those observed in other mammals, and provide insight into regional and functional differences in spike-wave characteristics relevant to considerations about neural populations in the human brain.

DOI10.1111/j.1528-1167.2012.03574.x
Alternate JournalHippocampus