TY - JOUR
T1 - A novel method for quantifying similarities between oscillatory neural responses in wavelet time-frequency power profiles
AU - Sato, Takaaki
AU - Kajiwara, Riichi
AU - Takashima, Ichiro
AU - Iijima, Toshio
N1 - Funding Information:
We would like to thank Dr. Graeme Lowe for his helpful advice on the manuscript. We are also grateful to Kiyo Murano for writing the computer software for wavelet transformation, and are grateful to Kaoru Tsukada, Yuka Mimura, and Ai Muramatsu for their technical assistance in physiological experiments. This work was supported by research funding (T.I. and T.S.) from METI, Japan ; Grant-in-Aids for Scientific Research (B) #22300066 (T.S.), #18300066 (T.S.) and #15H02730 (T.S.) from the MEXT, Japan ; and the Human Frontier Science Program grant n-RG19/96 (T.I.).
Publisher Copyright:
© 2016 The Authors. Published by Elsevier B.V.
PY - 2016/4/1
Y1 - 2016/4/1
N2 - Quantifying similarities and differences between neural response patterns is an important step in understanding neural coding in sensory systems. It is difficult, however, to compare the degree of similarity among transient oscillatory responses. We developed a novel method of wavelet correlation analysis for quantifying similarity between transient oscillatory responses, and tested the method with olfactory cortical responses. In the anterior piriform cortex (aPC), the largest area of the primary olfactory cortex, odors induce inhibitory activities followed by transient oscillatory local field potentials (osci-LFPs). Qualitatively, the resulting time courses of osci-LFPs for identical odors were modestly different. We then compared several methods for quantifying the similarity between osci-LFPs for identical or different odors. Using fast Fourier transform band-pass filters, a conventional method demonstrated high correlations of the 0-2 Hz components for both identical and different odors. None of the conventional methods tested demonstrated a clear correlation between osci-LFPs. However, wavelet correlation analysis resolved a stimulus dependency of 2-45 Hz osci-LFPs in the aPC output layer, and produced experience-dependent high correlations in the input layer between some of the identical or different odors. These results suggest that redundancy in the neural representation of sensory information may change in the aPC. This wavelet correlation analysis may be useful for quantifying the similarities of transient oscillatory neural responses.
AB - Quantifying similarities and differences between neural response patterns is an important step in understanding neural coding in sensory systems. It is difficult, however, to compare the degree of similarity among transient oscillatory responses. We developed a novel method of wavelet correlation analysis for quantifying similarity between transient oscillatory responses, and tested the method with olfactory cortical responses. In the anterior piriform cortex (aPC), the largest area of the primary olfactory cortex, odors induce inhibitory activities followed by transient oscillatory local field potentials (osci-LFPs). Qualitatively, the resulting time courses of osci-LFPs for identical odors were modestly different. We then compared several methods for quantifying the similarity between osci-LFPs for identical or different odors. Using fast Fourier transform band-pass filters, a conventional method demonstrated high correlations of the 0-2 Hz components for both identical and different odors. None of the conventional methods tested demonstrated a clear correlation between osci-LFPs. However, wavelet correlation analysis resolved a stimulus dependency of 2-45 Hz osci-LFPs in the aPC output layer, and produced experience-dependent high correlations in the input layer between some of the identical or different odors. These results suggest that redundancy in the neural representation of sensory information may change in the aPC. This wavelet correlation analysis may be useful for quantifying the similarities of transient oscillatory neural responses.
KW - Cross-correlationanalysis
KW - Isolated wholebrain
KW - Odor representation
KW - Oscillatory local field potentials
KW - Sensory information processing
KW - Wavelet transformation
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U2 - 10.1016/j.brainres.2016.01.054
DO - 10.1016/j.brainres.2016.01.054
M3 - Article
C2 - 26855257
AN - SCOPUS:84961653051
VL - 1636
SP - 107
EP - 117
JO - Molecular Brain Research
JF - Molecular Brain Research
SN - 0006-8993
ER -