Show/Hide Menu
Hide/Show Apps
Logout
Türkçe
Türkçe
Search
Search
Login
Login
OpenMETU
OpenMETU
About
About
Open Science Policy
Open Science Policy
Open Access Guideline
Open Access Guideline
Postgraduate Thesis Guideline
Postgraduate Thesis Guideline
Communities & Collections
Communities & Collections
Help
Help
Frequently Asked Questions
Frequently Asked Questions
Guides
Guides
Thesis submission
Thesis submission
MS without thesis term project submission
MS without thesis term project submission
Publication submission with DOI
Publication submission with DOI
Publication submission
Publication submission
Supporting Information
Supporting Information
General Information
General Information
Copyright, Embargo and License
Copyright, Embargo and License
Contact us
Contact us
A critical note on the definition of phase-amplitude cross-frequency coupling
Date
2011-10-01
Author
Özkurt, Tolga Esat
Schnitzler, Alfons
Metadata
Show full item record
This work is licensed under a
Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License
.
Item Usage Stats
110
views
0
downloads
Cite This
Recent studies have observed the ubiquity of phase-amplitude coupling (PAC) phenomenon in human and animal brain recordings. While various methods were performed to quantify it, a rigorous analytical definition of PAC is lacking. This paper yields an analytical definition and accordingly offers theoretical insights into some of the current methods. A direct PAC estimator based on the given definition is presented and shown theoretically to be superior to some of the previous methods such as general linear model (GLM) estimator. It is also shown that the proposed PAC estimator is equivalent to GLM estimator when a constant term is removed from its formulation. The validity of the derivations is demonstrated with simulated data of varying noise levels and local field potentials recorded from the subthalamic nucleus of a Parkinson's disease patient. (C) 2011 Elsevier B.V. All rights reserved.
Subject Keywords
Cross-frequency coupling
,
Parkinson's disease
,
Phase-amplitude coupling
,
Oscillations
,
Local field potentials
,
Synchronization
,
NEURONAL OSCILLATIONS
,
SUBTHALAMIC NUCLEUS
,
PARKINSONS-DISEASE
,
GAMMA-POWER
,
TASK
,
MECHANISM
URI
https://hdl.handle.net/11511/97163
Journal
JOURNAL OF NEUROSCIENCE METHODS
DOI
https://doi.org/10.1016/j.jneumeth.2011.08.014
Collections
Graduate School of Informatics, Article
Suggestions
OpenMETU
Core
Statistically Reliable and Fast Direct Estimation of Phase-Amplitude Cross-Frequency Coupling
Özkurt, Tolga Esat (2012-07-01)
There is growing interest in phase-amplitude cross-frequency coupling (PAC), which is widely observed in human and animal brain recordings. The choice of the estimation method is vital while extracting accurate PAC parameters from data. Two desired properties of PAC estimators are reliability and computational efficiency. This study offers a methodology called normalized direct PAC (ndPAC) for the rapid and statistically reliable estimation of PAC strength. A plain confidence limit formula, depending solely...
ADAPTIVE IDENTIFICATION OF OSCILLATORY BANDS FROM SUBCORTICAL NEURAL DATA
Özkurt, Tolga Esat; Hirschmann, Jan; Schnitzler, Alfons (2015-09-04)
Neural oscillations in various distinct frequency bands and their interrelations yield high temporal resolution signatures of the human brain activity. This study demonstrates solutions to some of the common challenges in the analysis of neurophysiological data by means of subthalamic local field potentials (LFP) acquired form patients with Parkinson's Disease (PD) undergoing deep brain stimulation therapy. Multivariate empirical mode decomposition (MEMD), being a data-driven method suitable for multichanne...
Hierarchical multi-resolution mesh networks for brain decoding
Ertugrul, Itir Onal; Ozay, Mete; Yarman Vural, Fatoş Tunay (Springer Science and Business Media LLC, 2018-08-01)
Human brain is supposed to process information in multiple frequency bands. Therefore, we can extract diverse information from functional Magnetic Resonance Imaging (fMRI) data by processing it at multiple resolutions. We propose a framework, called Hierarchical Multi-resolution Mesh Networks (HMMNs), which establishes a set of brain networks at multiple resolutions of fMRI signal to represent the underlying cognitive process. Our framework, first, decomposes the fMRI signal into various frequency subbands ...
Longitudinal data analysis with statistical and machine learning methods in neuroscience
Çakar, Serenay; Gökalp Yavuz, Fulya; Department of Statistics (2022-8)
Exploration of brain activity under different conditions has been subject to many neuroscience studies. The recent developments in cognitive studies provide the opportunity to work on neural correlates of specific cognitive processes such as working memory, decision making, response inhibition, perception, and sensation. Brain response studies constitute multidimensional, multilevel or nested data sets formed by different parts of the brain of individuals. Hence, it is of significant importance to implement...
Parallel implementation of the boundary element method for electromagnetic source imaging of the human brain
Ataseven, Yoldaş; Gençer, Nevzat Güneri; Department of Electrical and Electronics Engineering (2005)
Human brain functions are based on the electrochemical activity and interaction of the neurons constituting the brain. Some brain diseases are characterized by abnormalities of this activity. Detection of the location and orientation of this electrical activity is called electro-magnetic source imaging (EMSI) and is of signi cant importance since it promises to serve as a powerful tool for neuroscience. Boundary Element Method (BEM) is a method applicable for EMSI on realistic head geometries that generates...
Citation Formats
IEEE
ACM
APA
CHICAGO
MLA
BibTeX
T. E. Özkurt and A. Schnitzler, “A critical note on the definition of phase-amplitude cross-frequency coupling,”
JOURNAL OF NEUROSCIENCE METHODS
, vol. 201, no. 2, pp. 438–443, 2011, Accessed: 00, 2022. [Online]. Available: https://hdl.handle.net/11511/97163.