Response properties of local field potentials and multiunit activity in the mouse visual cortex

Abstract

Extracellular local field potentials (LFPs) and multiunit activity (MUA) reflect the spatially integrated activity of multiple neurons in a given cortical structure. In the cat and primate visual cortices, these signals exhibit selectivity for visual stimulus features, such as orientation, direction of motion or spatial frequency. In the mouse visual cortex, a model which has been increasingly used in visual neuroscience, the visual stimulus selectivity of population signals has not been examined in detail. We recorded LFPs and MUA using multielectrode arrays and two derived measures, the high-pass filtered continuous MUA and the bipolar first spatial derivative of the LFP, in the visual cortex of isoflurane-anesthetized C57Bl/6 mice. We analyzed the onset latency and characterized the receptive fields in addition to the direction, orientation, and spatial and temporal frequency preferences of these signals. Population signals exhibited onset latencies as short as ∼30ms and possessed receptive fields as large as ∼38° with MUA receptive fields smaller than those of LFPs. All four population signals exhibited similar spatial frequency preferences (∼0.1 cycles per degree) and temporal frequency preferences (∼1 cycle per second). However, for all population signals, spatial and frequency tunings were broad and orientation and direction of motion preferences were absent. The characterization of the visual stimulus selectivity of LFPs and MUA in the mouse visual cortex should provide information regarding their usability in characterizing stimulus properties and disclose possible limitations.

Keywords: ANOVA; CRT; DI; HSD; LFP; MUA; OI; SD; SE; analysis of variance; cMUA; cathode ray tube; continuous multiunit activity; cpd; cps; cycles per degree; cycles per second; dLFP; derivative of the LFP; direction index; honestly significant difference; local field potential; mouse; multiunit activity; orientation index; receptive fields; standard deviation; standard error; stimulus selectivity; visual cortex.