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      Phase lag index: Assessment of functional connectivity from multi channel EEG and MEG with diminished bias from common sources

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          Abstract

          Objective:

          To address the problem of volume conduction and active reference electrodes in the assessment of functional connectivity, we propose a novel measure to quantify phase synchronization, the phase lag index (PLI), and compare its performance to the well‐known phase coherence (PC), and to the imaginary component of coherency (IC).

          Methods:

          The PLI is a measure of the asymmetry of the distribution of phase differences between two signals. The performance of PLI, PC, and IC was examined in (i) a model of 64 globally coupled oscillators, (ii) an EEG with an absence seizure, (iii) an EEG data set of 15 Alzheimer patients and 13 control subjects, and (iv) two MEG data sets.

          Results:

          PLI and PC were more sensitive than IC to increasing levels of true synchronization in the model. PC and IC were influenced stronger than PLI by spurious correlations because of common sources. All measures detected changes in synchronization during the absence seizure. In contrast to PC, PLI and IC were barely changed by the choice of different montages. PLI and IC were superior to PC in detecting changes in beta band connectivity in AD patients. Finally, PLI and IC revealed a different spatial pattern of functional connectivity in MEG data than PC.

          Conclusion:

          The PLI performed at least as well as the PC in detecting true changes in synchronization in model and real data but, at the same token and like‐wise the IC, it was much less affected by the influence of common sources and active reference electrodes. Hum Brain Mapp 2007. © 2007 Wiley‐Liss, Inc.

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          Author and article information

          Contributors
          CJ.Stam@vumc.nl
          Journal
          Hum Brain Mapp
          Hum Brain Mapp
          10.1002/(ISSN)1097-0193
          HBM
          Human Brain Mapping
          Wiley Subscription Services, Inc., A Wiley Company (Hoboken )
          1065-9471
          1097-0193
          31 January 2007
          November 2007
          : 28
          : 11 ( doiID: 10.1002/hbm.v28:11 )
          : 1178-1193
          Affiliations
          [ 1 ]Department of Clinical Neurophysiology, VU University Medical Center, Amsterdam, The Netherlands
          [ 2 ]Human Motor Control Section, NINDS, National Institutes of Health, Bethesda, Maryland
          [ 3 ]Fraunhofer Institute, Kekulestraβe 7, Berlin, Germany
          [ 4 ]Institute for Fundamental and Clinical Movement Sciences, VU, Amsterdam, The Netherlands
          Author notes
          [*] [* ]Department of Clinical Neurophysiology, VU University Medical Center, Amsterdam, The Netherlands
          Article
          PMC6871367 PMC6871367 6871367 HBM20346
          10.1002/hbm.20346
          6871367
          17266107
          4ac1d72a-6ae3-49c6-b3a5-61e9fc1a1c28
          Copyright © 2007 Wiley‐Liss, Inc.
          History
          : 25 April 2006
          : 13 July 2006
          : 21 August 2006
          Page count
          Figures: 11, Tables: 0, References: 43, Pages: 16, Words: 10493
          Funding
          Funded by: Dutch Science Foundation (NWO)
          Award ID: 52‐04‐344
          Categories
          Research Article
          Research Articles
          Custom metadata
          2.0
          November 2007
          Converter:WILEY_ML3GV2_TO_JATSPMC version:5.7.2 mode:remove_FC converted:15.11.2019

          Alzheimer's disease,absence seizure,functional connectivity,MEG,EEG,volume conduction,coherence,phase synchronization,phase lag index

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