Abstract
In the analysis of raw electrophysiological recordings, signal filtering is a crucial step to eliminate frequency components associated with noise and recording artifacts. Two problems have to be addressed: determining the optimal frequency range of the signal and which frequency values (extreme values, maximum and minimum) that are characteristic of the raw signal power spectrum. We developed an algorithm called ERFo (extractor of range for filtering optimization) that determines the frequency range boundaries expected to be optimal for the observation of the spectrum with the largest power in the range of interest. The regular differentiations (first and second derivatives) of the raw signal are used to detect the maximum and minimum amplitudes, which are reported in the algorithm to determine the frequency range of the raw signal filtration.
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References
Aksenova, T.I., Chibirova, O., Dryga, A.O., Tetko, I.V., Benabid, A.L., Villa, A.E.P.: An unsupervised automatic method for sorting neuronal spike waveforms in awake and freely moving animal. Methods. 30, 178–187 (2003)
Widmann, A., Schroeger, E., Maess, B.: Digital filter design for electrophysiological data – a practical approach. J. Neurosci. Methods. 250, 34–46 (2015)
Asai, Y., Aksenova, T.I., Villa, A.E.P.: On-line real-time oriented application for neuronal spike sorting with unsupervised learning. In: Duch, W., Kacprzyk, J., Oja, E., Zadrożny, S. (eds.) ICANN 2005, LNCS, vol. 3696, pp. 109–114. Springer, Berlin (2005)
Chibirova, O.K., Aksenova, T.I., Benabid, A.L., Chabardes, S., Larouche, S., Rouat, J., Villa, A.E.P.: Unsupervised spike sorting of extracellular electrophysiological recording in subthalamic nucleus of Parkinsonian patients. Bio Systems. 79, 159–171 (2005)
Chaves-Coira, I., Barros-Zulaica, N., Rodrigo-Angulo, M., Núñez, A.: Modulation of specific sensory cortical areas by segregated basal forebrain cholinergic neurons demonstrated by neuronal tracing and optogenetic stimulation in mice. Front. Neural Circuits. 10, 28 (2016)
Hernández-González, S., Andreu-Sánchez, C., Martín-Pascual, M.A., Gruart, A., Delgado-García, J.M.: A cognition-related neural oscillation pattern, generated in the prelimbic cortex, can control operant learning in rats. J. Neurosci. 37, 5923–5935 (2017)
Caro-Martín, C.R., Leal-Campanario, R., Sánchez-Campusano, R., Delgado-García, J.M., Gruart, A.: A variable oscillator underlies the measurement of time intervals in the rostral medial prefrontal cortex during classical eyeblink conditioning in rabbits. J. Neurosci. 35, 14809–14821 (2015)
Acknowledgments
The authors wish to thank Dr. Natali Barros-Zulaica and Dr. Samuel Hernández-González for providing additional electrophysiological recordings. ERFo was developed by Carmen Rocío Caro Martín (PhD student at Pablo de Olavide University, Spain) under the supervision of Dr. Alessandro E.P. Villa (professor at UNIL, the University of Lausanne, Switzerland) within the research project awarded by BFU2011-29286, Junta de Andalucía (BIO122, CVI 2487, and P07-CVI-02686) to Agnès Gruart i Massó and José María Delgado García, and the short-term fellowship “Researcher in Training” grant EEBB-I-16-10562 awarded to Carmen Rocío Caro Martín by the Spanish Ministry of Economy and Competitiveness.
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Rocío Caro-Martín, C., Gruart, A., Delgado-García, J.M., Villa, A.E.P. (2018). ERFo: An Algorithm for Extracting a Range of Optimal Frequencies for Filtering Electrophysiological Recordings. In: Delgado-García, J., Pan, X., Sánchez-Campusano, R., Wang, R. (eds) Advances in Cognitive Neurodynamics (VI). Advances in Cognitive Neurodynamics. Springer, Singapore. https://doi.org/10.1007/978-981-10-8854-4_29
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DOI: https://doi.org/10.1007/978-981-10-8854-4_29
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