title: Reconstruction of intracortical whisker-evoked local field potential from electrocorticogram using a model trained for spontaneous activity in the rat barrel cortex.
abstract: Electrocorticogram (ECoG) has provided neural information from the cortical surfaces, is widely used in clinical applications, and expected to be useful for brain-machine interfaces. Recent studies have defined the relationship between neural activity in deep layers of the cerebral cortex and ECoG. However, it is still unclear whether this relationship is shared across different brain states. In this study, spontaneous activity and whisker-evoked responses in the barrel cortex of anesthetized rats were recorded with a 32-channel ECoG electrode array and 32-channel linear silicon probe electrodes, respectively. Spontaneous local field potentials (LFPs) at various depths could be reconstructed with high accuracy (R>0.9) by a linear weighted summation of spontaneous ECoG. Current source density analysis revealed that the reconstructed LFPs correctly represented laminar profiles of current sinks and sources as well as the raw LFP. Moreover, when we applied the spontaneous activity model to reconstruction of LFP from the whisker-related ECoG, high accuracy of reconstruction could be obtained (R>0.9). Our results suggest that the ECoG carried rich information about synaptic currents in the deep layers of the cortex, and the same reconstruction model can be applied to estimate both spontaneous activity and whisker-evoked responses.
authors.affiliation: Department of Developmental Physiology, National Institute for Physiological Sciences, Okazaki, Aichi 444-8686, Japan. Electronic address: watanabe@nips.ac.jp.
authors.forename: Hidenori
authors.initials: H
authors.lastname: Watanabe
authors.affiliation: Department of Developmental Physiology, National Institute for Physiological Sciences, Okazaki, Aichi 444-8686, Japan.
authors.forename: Tomoya
authors.initials: T
authors.lastname: Sakatani
authors.affiliation: Center for Information and Neural Networks, National Institute of Information and Communications Technology, and Osaka University, Suita, Osaka 565-0871, Japan.
authors.forename: Takafumi
authors.initials: T
authors.lastname: Suzuki
authors.affiliation: Advanced Telecommunications Research Institute International, Neural Information Analysis Laboratory, Soraku, Kyoto 619-0288, Japan.
authors.forename: Masa-Aki
authors.initials: MA
authors.lastname: Sato
authors.affiliation: Department of Developmental Physiology, National Institute for Physiological Sciences, Okazaki, Aichi 444-8686, Japan; Precursory Research for Embryonic Science and Technology, Japan Science and Technology Agency, Chiyoda, Tokyo 102-8666, Japan; The Graduate University for Advanced Studies, Hayama, Kanagawa 240-0193, Japan.
authors.forename: Yukio
authors.initials: Y
authors.lastname: Nishimura
authors.affiliation: The Graduate University for Advanced Studies, Hayama, Kanagawa 240-0193, Japan; Department of Integrative Physiology, National Institute for Physiological Sciences, Okazaki, Aichi 444-8686, Japan.
authors.forename: Atsushi
authors.initials: A
authors.lastname: Nambu
authors.affiliation: Advanced Telecommunications Research Institute International, Computational Neuroscience Laboratory, Soraku, Kyoto 619-0288, Japan.
authors.forename: Mitsuo
authors.initials: M
authors.lastname: Kawato
authors.affiliation: Department of Developmental Physiology, National Institute for Physiological Sciences, Okazaki, Aichi 444-8686, Japan; The Graduate University for Advanced Studies, Hayama, Kanagawa 240-0193, Japan.
authors.forename: Tadashi
authors.initials: T
authors.lastname: Isa
mesh_terms: D000818:Animals; D004569:Electroencephalography / Q000379:methods*; D005073:Evoked Potentials, Somatosensory; D016014:Linear Models; D008297:Male; D008959:Models, Neurological; D010812:Physical Stimulation; D051381:Rats; D017208:Rats, Wistar; D013003:Somatosensory Cortex / Q000502:physiology*; D055698:Touch Perception / Q000502:physiology*; D014738:Vibrissae / Q000502:physiology
keywords: BMI; Current source density; Decoding; LFP; Micro-ECoG; Sparse linear regression