Measuring phase-amplitude coupling between neuronal oscillations of different frequencies.
Neuronal oscillations of different frequencies can interact in several ways. There has been particular interest in the modulation of the amplitude of high-frequency oscillations by the phase of low-frequency oscillations, since recent evidence suggests a functional role for this type of cross-frequency coupling (CFC). Phase-amplitude coupling has been reported in continuous electrophysiological signals obtained from the brain at both local and macroscopic levels. In the present work, we present a new measure for assessing phase-amplitude CFC. This measure is defined as an adaptation of the Kullback-Leibler distance-a function that is used to infer the distance between two distributions-and calculates how much an empirical amplitude distribution-like function over phase bins deviates from the uniform distribution. We show that a CFC measure defined this way is well suited for assessing the intensity of phase-amplitude coupling. We also review seven other CFC measures; we show that, by some performance benchmarks, our measure is especially attractive for this task. We also discuss some technical aspects related to the measure, such as the length of the epochs used for these analyses and the utility of surrogate control analyses. Finally, we apply the measure and a related CFC tool to actual hippocampal recordings obtained from freely moving rats and show, for the first time, that the CA3 and CA1 regions present different CFC characteristics.
Tort
Adriano B L
AB
Edmond and Lily Safra International Institute of Neuroscience of Natal and Federal University of Rio Grande do Norte, Natal, RN, Brazil. tort@natalneuro.org.br
Komorowski
Robert
R
Eichenbaum
Howard
H
Kopell
Nancy
N
D000200:Action Potentials / Q000502:physiology*; D000818:Animals; D001683:Biological Clocks / Q000502:physiology*; D006624:Hippocampus / Q000166:cytology*; D008959:Models, Neurological; D009415:Nerve Net / Q000502:physiology*; D009474:Neurons / Q000502:physiology*; D051381:Rats; D013997:Time Factors
Int J Psychophysiol. 2007 Apr;64(1):24-30
16956685
J Cogn Neurosci. 2009 Feb;21(2):390-402
18510444
Proc Natl Acad Sci U S A. 2009 Mar 3;106(9):3561-6
19204281
J Neurophysiol. 2005 Sep;94(3):1904-11
15901760
Proc Natl Acad Sci U S A. 2010 Feb 16;107(7):3228-33
20133762
J Neurosci Methods. 2008 Mar 15;168(2):494-9
18061683
J Neurosci Methods. 2008 May 30;170(2):352-7
18328571
Science. 1995 Mar 10;267(5203):1512-5
7878473
Eur J Neurosci. 2007 Sep;26(6):1642-56
17880398
Trends Cogn Sci. 2007 Jul;11(7):267-9
17548233
Science. 2008 Apr 4;320(5872):110-3
18388295
Neuroimage. 2009 Apr 15;45(3):1040-6
19150503
Proc Natl Acad Sci U S A. 2008 Dec 23;105(51):20517-22
19074268
Prog Neurobiol. 2009 Sep;89(1):61-78
19549556
Neuroscience. 2003;116(1):201-11
12535953
Hippocampus. 2005;15(7):913-22
16161035
Trends Neurosci. 2009 Jan;32(1):9-18
19012975
J Neurosci. 1995 Jan;15(1 Pt 1):47-60
7823151
J Cogn Neurosci. 2009 May;21(5):875-89
18702577
J Neurophysiol. 2004 Apr;91(4):1883-98
15010498
Science. 2006 Sep 15;313(5793):1626-8
16973878
Proc Natl Acad Sci U S A. 2009 Dec 8;106(49):20942-7
19934062
J Neurosci Methods. 2001 Oct 30;111(2):83-98
11595276
J Neurosci Methods. 2008 Sep 15;174(1):50-61
18674562
Nature. 2009 Nov 19;462(7271):353-7
19924214