title: In vivo measurement of cortical impedance spectrum in monkeys: implications for signal propagation.
abstract: To combine insights obtained from electric field potentials (LFPs) and neuronal spiking activity (MUA) we need a better understanding of the relative spatial summation of these indices of neuronal activity. Compared to MUA, the LFP has greater spatial coherence, resulting in lower spatial specificity and lower stimulus selectivity. A differential propagation of low- and high-frequency electric signals supposedly underlies this phenomenon, which could result from cortical tissue specifically attenuating higher frequencies, i.e., from a frequency-dependent impedance spectrum. Here we directly measure the cortical impedance spectrum in vivo in monkey primary visual cortex. Our results show that impedance is independent of frequency, is homogeneous and tangentially isotropic within gray matter, and can be theoretically predicted assuming a pure-resistive conductor. We propose that the spatial summation of LFP and MUA is determined by the size of these signals' generators and the nature of neural events underlying them, rather than by biophysical properties of gray matter.
authors.affiliation: Max Planck Institute for Biological Cybernetics, Spemannstrasse 38, 72076 Tübingen, Germany. nikos.logothetis@tuebingen.mpg.de
authors.forename: Nikos K
authors.initials: NK
authors.lastname: Logothetis
authors.forename: Christoph
authors.initials: C
authors.lastname: Kayser
authors.forename: Axel
authors.initials: A
authors.lastname: Oeltermann
mesh_terms: D000200:Action Potentials / Q000502:physiology*; D000818:Animals; D001369:Axons / Q000502:physiology; D017097:Electric Impedance; D004594:Electrophysiology / Q000379:methods; D005071:Evoked Potentials / Q000502:physiology*; D000882:Haplorhini / Q000033:anatomy & histology / Q000502:physiology*; D008959:Models, Neurological; D009413:Nerve Fibers, Myelinated / Q000502:physiology; D009431:Neural Conduction / Q000502:physiology; D009434:Neural Pathways / Q000502:physiology*; D009474:Neurons / Q000502:physiology*; D019581:Neuropil / Q000502:physiology; D012815:Signal Processing, Computer-Assisted; D009435:Synaptic Transmission / Q000502:physiology; D014793:Visual Cortex / Q000033:anatomy & histology / Q000502:physiology*