TY - JOUR
T1 - Towards high-throughput phenotyping of complex patterned behaviors in rodents
T2 - Focus on mouse self-grooming and its sequencing
AU - Kyzar, Evan
AU - Gaikwad, Siddharth
AU - Roth, Andrew
AU - Green, Jeremy
AU - Pham, Mimi
AU - Stewart, Adam
AU - Liang, Yiqing
AU - Kobla, Vikrant
AU - Kalueff, Allan V.
PY - 2011/12/1
Y1 - 2011/12/1
N2 - Increasingly recognized in biological psychiatry, rodent self-grooming is a complex patterned behavior with evolutionarily conserved cephalo-caudal progression. While grooming is traditionally assessed by the latency, frequency and duration, its sequencing represents another important domain sensitive to various experimental manipulations. Such behavioral complexity requires novel objective approaches to quantify rodent grooming, in addition to time-consuming and highly variable manual observation. The present study combined modern behavior-recognition video-tracking technologies (CleverSys, Inc.) with manual observation to characterize in-depth spontaneous (novelty-induced) and artificial (water-induced) self-grooming in adult male C57BL/6J mice. We specifically focused on individual episodes of grooming (paw licking, head washing, body/leg washing, and tail/genital grooming), their duration and transitions between episodes. Overall, the frequency, duration and transitions detected using the automated approach significantly correlated with manual observations (R=0.51-0.7, p<0.001-0.05). This data validates the software-based detection of grooming, also indicating that behavior-recognition tools can be applied to characterize both the amount and sequential organization (patterning) of rodent grooming. Together with further refinement and methodological advancement, this approach will foster high-throughput neurophenotyping of grooming, with multiple applications in drug screening and testing of genetically modified animals.
AB - Increasingly recognized in biological psychiatry, rodent self-grooming is a complex patterned behavior with evolutionarily conserved cephalo-caudal progression. While grooming is traditionally assessed by the latency, frequency and duration, its sequencing represents another important domain sensitive to various experimental manipulations. Such behavioral complexity requires novel objective approaches to quantify rodent grooming, in addition to time-consuming and highly variable manual observation. The present study combined modern behavior-recognition video-tracking technologies (CleverSys, Inc.) with manual observation to characterize in-depth spontaneous (novelty-induced) and artificial (water-induced) self-grooming in adult male C57BL/6J mice. We specifically focused on individual episodes of grooming (paw licking, head washing, body/leg washing, and tail/genital grooming), their duration and transitions between episodes. Overall, the frequency, duration and transitions detected using the automated approach significantly correlated with manual observations (R=0.51-0.7, p<0.001-0.05). This data validates the software-based detection of grooming, also indicating that behavior-recognition tools can be applied to characterize both the amount and sequential organization (patterning) of rodent grooming. Together with further refinement and methodological advancement, this approach will foster high-throughput neurophenotyping of grooming, with multiple applications in drug screening and testing of genetically modified animals.
KW - Automated detection
KW - Behavioral patterning
KW - High-throughput assays
KW - Mouse self-grooming
KW - Neurophenotyping
UR - http://www.scopus.com/inward/record.url?scp=80052965386&partnerID=8YFLogxK
U2 - 10.1016/j.bbr.2011.07.052
DO - 10.1016/j.bbr.2011.07.052
M3 - Article
C2 - 21840343
AN - SCOPUS:80052965386
SN - 0166-4328
VL - 225
SP - 426
EP - 431
JO - Behavioural Brain Research
JF - Behavioural Brain Research
IS - 2
ER -