期刊
JOURNAL OF NEUROSCIENCE METHODS
卷 277, 期 -, 页码 88-100出版社
ELSEVIER SCIENCE BV
DOI: 10.1016/j.jneumeth.2016.12.007
关键词
Electric field sensors; Respiration; Heart rate; Behavioral monitoring; Activity levels
Background: Numerous environmental and genetic factors can contribute significantly to behavioral and cardiorespiratory variability observed experimentally. Affordable technologies that allow for noninvasive home cage capture of physio-behavioral variables should enhance understanding of inter-animal variability including after experimental interventions. New method: We assessed whether EPIC electric field sensors (Plessey Semiconductors) embedded within or attached externally to a rodent's home cage could accurately record respiration, heart rate, and motor behaviors. Comparison with existing methods: Current systems for quantification of behavioral variables require expensive specialty equipment, while measures of respiratory and heart rate are often provided by surgically implanted or chronically affixed devices. Results: Sensors accurately encoded imposed sinusoidal changes in electric field tested at frequencies ranging from 0.5-100 Hz. Mini-metronome arm movements were easily detected, but response magnitude was highly distance dependent. Sensors accurately reported respiration during whole-body plethysmography. In anesthetized rodents, PVC tube-embedded sensors provided accurate mechanical detection of both respiratory and heart rate. Comparable success was seen in naturally behaving animals at rest or sleeping when sensors were attached externally. Video-verified motor behaviors (sniffing, grooming, chewing, and rearing) were detectable and largely separable by their characteristic voltage fluctuations. Larger movement-related events had comparably larger voltage dynamics that easily allowed for a broad approximation of overall motor activity. Spectrograms were used to quickly depict characteristic frequencies in long-lasting recordings, while filtering and thresholding software allowed for detection and quantification of movement-related physio-behavioral events. Conclusions: EPIC electric field sensors provide a means for affordable non-contact home cage detection of physio-behavioral variables. (C) 2016 Elsevier B.V. All rights reserved.
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