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• W2079733211 abstract "Topographically organized maps of the sensory receptor epithelia are regarded as cornerstones of cortical organization as well as valuable readouts of diverse biological processes ranging from evolution to neural plasticity. However, maps are most often derived from multiunit activity recorded in the thalamic input layers of anesthetized animals using near-threshold stimuli. Less distinct topography has been described by studies that deviated from the formula above, which brings into question the generality of the principle. Here, we explicitly compared the strength of tonotopic organization at various depths within core and belt regions of the auditory cortex using electrophysiological measurements ranging from single units to delta-band local field potentials (LFP) in the awake and anesthetized mouse. Unit recordings in the middle cortical layers revealed a precise tonotopic organization in core, but not belt, regions of auditory cortex that was similarly robust in awake and anesthetized conditions. In core fields, tonotopy was degraded outside the middle layers or when LFP signals were substituted for unit activity, due to an increasing proportion of recording sites with irregular tuning for pure tones. However, restricting our analysis to clearly defined receptive fields revealed an equivalent tonotopic organization in all layers of the cortical column and for LFP activity ranging from gamma to theta bands. Thus, core fields represent a transition between topographically organized simple receptive field arrangements that extend throughout all layers of the cortical column and the emergence of nontonotopic representations outside the input layers that are further elaborated in the belt fields." @default.
• W2079733211 created "2016-06-24" @default.
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• W2079733211 creator A5079899150 @default.
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• W2079733211 date "2012-07-04" @default.
• W2079733211 modified "2023-10-14" @default.
• W2079733211 title "Robustness of Cortical Topography across Fields, Laminae, Anesthetic States, and Neurophysiological Signal Types" @default.
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• W2079733211 doi "https://doi.org/10.1523/jneurosci.0065-12.2012" @default.
• W2079733211 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/3402176" @default.
• W2079733211 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/22764225" @default.
• W2079733211 hasPublicationYear "2012" @default.
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