Isolation of neural activities from respiratory and heartbeat noises for in vivo optical recording in guinea pigs using independent component analysis.
Optical recording in vivo is severely interfered by heartbeat and respiratory noises. Here we tested if these noises can be removed from in vivo optical recordings from the primary auditory cortex of the guinea pig, using independent component analysis (ICA). We applied a fast ICA algorithm combined with principal component analysis to optical recordings of long durations (9-40 s). Our results show that ICA can be successfully used to separate sound-evoked neural activities from heartbeat and respiratory noises.
Inagaki
Shinji
S
Department of Electronic Engineering, Graduate School of Engineering, Osaka University, Suita 565-0821, Japan.
Katura
Takusige
T
Kawaguchi
Hideo
H
Song
Wen-Jie
WJ
D000161:Acoustic Stimulation / Q000379:methods; D000818:Animals; D001303:Auditory Cortex / Q000502:physiology*; D004560:Electricity / Q000009:adverse effects*; D004594:Electrophysiology; D006168:Guinea Pigs; D006339:Heart Rate / Q000502:physiology*; D055095:Optics and Photonics / Q000295:instrumentation; D012119:Respiration