title: Variable bandwidth filtering for improved sensitivity of cross-frequency coupling metrics.
abstract: There is an increasing interest in examining cross-frequency coupling (CFC) between groups of oscillating neurons. Most CFC studies examine how the phase of lower-frequency brain activity modulates the amplitude of higher-frequency brain activity. This study focuses on the signal filtering that is required to isolate the higher-frequency neuronal activity which is hypothesized to be amplitude modulated. In particular, previous publications have used a filter bandwidth fixed to a constant for all assessed modulation frequencies. The present article demonstrates that fixed bandwidth filtering can destroy amplitude modulation and create false-negative CFC measures. To overcome this limitation, this study presents a variable bandwidth filter that ensures preservation of the amplitude modulation. Simulated time series data were created with theta-gamma, alpha-gamma, and beta-gamma phase-amplitude coupling. Comparisons between filtering methods indicate that the variable bandwidth approach presented in this article is preferred when examining amplitude modulations above the theta band. The variable bandwidth method of filtering an amplitude modulated signal is proposed to preserve amplitude modulation and enable accurate CFC measurements.
authors.affiliation: Department of Radiology, Children's Hospital of Philadelphia, Philadelphia, PA, USA.
authors.forename: Jeffrey I
authors.initials: JI
authors.lastname: Berman
authors.forename: Jonathan
authors.initials: J
authors.lastname: McDaniel
authors.forename: Song
authors.initials: S
authors.lastname: Liu
authors.forename: Lauren
authors.initials: L
authors.lastname: Cornew
authors.forename: William
authors.initials: W
authors.lastname: Gaetz
authors.forename: Timothy P L
authors.initials: TP
authors.lastname: Roberts
authors.forename: J Christopher
authors.initials: JC
authors.lastname: Edgar
mesh_terms: D000200:Action Potentials / Q000502:physiology; D001921:Brain / Q000502:physiology*; D005583:Fourier Analysis; D006801:Humans; D008959:Models, Neurological; D009415:Nerve Net / Q000502:physiology*; D009474:Neurons / Q000502:physiology*