Literature DB >> 22577870

Variable bandwidth filtering for improved sensitivity of cross-frequency coupling metrics.

Jeffrey I Berman1, Jonathan McDaniel, Song Liu, Lauren Cornew, William Gaetz, Timothy P L Roberts, J Christopher Edgar.   

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.

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Mesh:

Year:  2012        PMID: 22577870      PMCID: PMC3621836          DOI: 10.1089/brain.2012.0085

Source DB:  PubMed          Journal:  Brain Connect        ISSN: 2158-0014


  21 in total

1.  BESA source coherence: a new method to study cortical oscillatory coupling.

Authors:  Karsten Hoechstetter; Harald Bornfleth; Dieter Weckesser; Nicole Ille; Patrick Berg; Michael Scherg
Journal:  Brain Topogr       Date:  2004       Impact factor: 3.020

Review 2.  A mechanism for cognitive dynamics: neuronal communication through neuronal coherence.

Authors:  Pascal Fries
Journal:  Trends Cogn Sci       Date:  2005-10       Impact factor: 20.229

3.  Multiple dipole modeling and localization from spatio-temporal MEG data.

Authors:  J C Mosher; P S Lewis; R M Leahy
Journal:  IEEE Trans Biomed Eng       Date:  1992-06       Impact factor: 4.538

4.  Assessing transient cross-frequency coupling in EEG data.

Authors:  Michael X Cohen
Journal:  J Neurosci Methods       Date:  2007-10-30       Impact factor: 2.390

5.  Vector-based spatial-temporal minimum L1-norm solution for MEG.

Authors:  Ming-Xiong Huang; Anders M Dale; Tao Song; Eric Halgren; Deborah L Harrington; Igor Podgorny; Jose M Canive; Stephen Lewis; Roland R Lee
Journal:  Neuroimage       Date:  2006-03-15       Impact factor: 6.556

6.  Cross-frequency phase synchronization: a brain mechanism of memory matching and attention.

Authors:  Paul Sauseng; Wolfgang Klimesch; Walter R Gruber; Niels Birbaumer
Journal:  Neuroimage       Date:  2007-12-03       Impact factor: 6.556

7.  Selective movement preparation is subserved by selective increases in corticomuscular gamma-band coherence.

Authors:  Jan-Mathijs Schoffelen; Jasper Poort; Robert Oostenveld; Pascal Fries
Journal:  J Neurosci       Date:  2011-05-04       Impact factor: 6.167

8.  Accurate reconstruction of temporal correlation for neuronal sources using the enhanced dual-core MEG beamformer.

Authors:  Mithun Diwakar; Omer Tal; Thomas T Liu; Deborah L Harrington; Ramesh Srinivasan; Laura Muzzatti; Tao Song; Rebecca J Theilmann; Roland R Lee; Ming-Xiong Huang
Journal:  Neuroimage       Date:  2011-04-05       Impact factor: 6.556

9.  Interpreting magnetic fields of the brain: minimum norm estimates.

Authors:  M S Hämäläinen; R J Ilmoniemi
Journal:  Med Biol Eng Comput       Date:  1994-01       Impact factor: 2.602

10.  Cross-frequency coupling supports multi-item working memory in the human hippocampus.

Authors:  Nikolai Axmacher; Melanie M Henseler; Ole Jensen; Ilona Weinreich; Christian E Elger; Juergen Fell
Journal:  Proc Natl Acad Sci U S A       Date:  2010-01-26       Impact factor: 11.205

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  16 in total

1.  Toward a proper estimation of phase-amplitude coupling in neural oscillations.

Authors:  Dino Dvorak; André A Fenton
Journal:  J Neurosci Methods       Date:  2014-01-19       Impact factor: 2.390

2.  Parvalbumin Cell Ablation of NMDA-R1 Leads to Altered Phase, But Not Amplitude, of Gamma-Band Cross-Frequency Coupling.

Authors:  Russell G Port; Jeffrey I Berman; Song Liu; Robert E Featherstone; Timothy P L Roberts; Steven J Siegel
Journal:  Brain Connect       Date:  2019-03-15

3.  Children with Autism Spectrum Disorder Demonstrate Regionally Specific Altered Resting-State Phase-Amplitude Coupling.

Authors:  Russell G Port; Marissa A Dipiero; Matthew Ku; Song Liu; Lisa Blaskey; Emily S Kuschner; J Christopher Edgar; Timothy P L Roberts; Jeffrey I Berman
Journal:  Brain Connect       Date:  2019-04-24

4.  A novel cross-frequency coupling detection method using the generalized Morse wavelets.

Authors:  A Nakhnikian; S Ito; L L Dwiel; L M Grasse; G V Rebec; L N Lauridsen; J M Beggs
Journal:  J Neurosci Methods       Date:  2016-04-26       Impact factor: 2.390

5.  Alpha-to-gamma phase-amplitude coupling methods and application to autism spectrum disorder.

Authors:  Jeffrey I Berman; Song Liu; Luke Bloy; Lisa Blaskey; Timothy P L Roberts; J Christopher Edgar
Journal:  Brain Connect       Date:  2014-09-22

Review 6.  Magnetoencephalography for Schizophrenia.

Authors:  J Christopher Edgar; Anika Guha; Gregory A Miller
Journal:  Neuroimaging Clin N Am       Date:  2020-04-09       Impact factor: 2.264

7.  Parametric estimation of cross-frequency coupling.

Authors:  B C M van Wijk; A Jha; W Penny; V Litvak
Journal:  J Neurosci Methods       Date:  2015-02-09       Impact factor: 2.390

8.  Non-linear auto-regressive models for cross-frequency coupling in neural time series.

Authors:  Tom Dupré la Tour; Lucille Tallot; Laetitia Grabot; Valérie Doyère; Virginie van Wassenhove; Yves Grenier; Alexandre Gramfort
Journal:  PLoS Comput Biol       Date:  2017-12-11       Impact factor: 4.475

9.  The Detection of Phase Amplitude Coupling during Sensory Processing.

Authors:  Robert A Seymour; Gina Rippon; Klaus Kessler
Journal:  Front Neurosci       Date:  2017-09-01       Impact factor: 4.677

10.  Quantifying Neural Oscillatory Synchronization: A Comparison between Spectral Coherence and Phase-Locking Value Approaches.

Authors:  Eric Lowet; Mark J Roberts; Pietro Bonizzi; Joël Karel; Peter De Weerd
Journal:  PLoS One       Date:  2016-01-08       Impact factor: 3.240

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