Using coherence to measure regional homogeneity of resting-state fMRI signal

In this study, we applied coherence to voxel-wise measurement of regional homogeneity of resting-state functional magnetic resonance imaging (RS-fMRI) signal. We compared the current method, regional homogeneity based on coherence (Cohe-ReHo), with previously proposed method, ReHo based on Kendall&a...

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Main Authors: Dongqiang Liu, Chaogan Yan, Juejing Ren, Li Yao, Vesa J Kiviniemi, Yufeng Zang
Format: Article
Language:English
Published: Frontiers Media S.A. 2010-06-01
Series:Frontiers in Systems Neuroscience
Subjects:
Online Access:http://journal.frontiersin.org/Journal/10.3389/fnsys.2010.00024/full
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author Dongqiang Liu
Chaogan Yan
Juejing Ren
Li Yao
Vesa J Kiviniemi
Yufeng Zang
author_facet Dongqiang Liu
Chaogan Yan
Juejing Ren
Li Yao
Vesa J Kiviniemi
Yufeng Zang
author_sort Dongqiang Liu
collection DOAJ
description In this study, we applied coherence to voxel-wise measurement of regional homogeneity of resting-state functional magnetic resonance imaging (RS-fMRI) signal. We compared the current method, regional homogeneity based on coherence (Cohe-ReHo), with previously proposed method, ReHo based on Kendall&rsquo;s coefficient of concordance (KCC-ReHo), in terms of correlation and paired <em>t</em>-test in a large sample of healthy participants. We found the two measurements differed mainly in some brain regions where physiological noise is dominant. We also compared the sensitivity of these methods in detecting difference between resting-state conditions (eyes open (EO) vs. eyes closed (EC)) and in detecting abnormal local synchronization between two groups (attention deficit hyperactivity disorder (ADHD) patients vs. normal controls). Our results indicated that Cohe-ReHo is more sensitive than KCC-ReHo to the difference between two conditions (EO vs. EC) as well as that between ADHD and normal controls. These preliminary results suggest that Cohe-ReHo is superior to KCC-ReHo. A possible reason is that coherence is not susceptible to random noise induced by phase delay among the timecourses to be measured. However, further investigation is still needed to elucidate the sensitivity and specificity of these methods.
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spelling doaj.art-d8a7f3c04ace4ef7899851ec925a1fae2022-12-22T00:49:54ZengFrontiers Media S.A.Frontiers in Systems Neuroscience1662-51372010-06-01410.3389/fnsys.2010.000241366Using coherence to measure regional homogeneity of resting-state fMRI signalDongqiang Liu0Chaogan Yan1Juejing Ren2Li Yao3Vesa J Kiviniemi4Yufeng Zang5Beijing Normal UniversityBeijing Normal UniversityBeijing Normal UniversityBeijing Normal UniversityOulu University HospitalBeijing Normal UniversityIn this study, we applied coherence to voxel-wise measurement of regional homogeneity of resting-state functional magnetic resonance imaging (RS-fMRI) signal. We compared the current method, regional homogeneity based on coherence (Cohe-ReHo), with previously proposed method, ReHo based on Kendall&rsquo;s coefficient of concordance (KCC-ReHo), in terms of correlation and paired <em>t</em>-test in a large sample of healthy participants. We found the two measurements differed mainly in some brain regions where physiological noise is dominant. We also compared the sensitivity of these methods in detecting difference between resting-state conditions (eyes open (EO) vs. eyes closed (EC)) and in detecting abnormal local synchronization between two groups (attention deficit hyperactivity disorder (ADHD) patients vs. normal controls). Our results indicated that Cohe-ReHo is more sensitive than KCC-ReHo to the difference between two conditions (EO vs. EC) as well as that between ADHD and normal controls. These preliminary results suggest that Cohe-ReHo is superior to KCC-ReHo. A possible reason is that coherence is not susceptible to random noise induced by phase delay among the timecourses to be measured. However, further investigation is still needed to elucidate the sensitivity and specificity of these methods.http://journal.frontiersin.org/Journal/10.3389/fnsys.2010.00024/fullcoherencelocal featureregional homogeneityresting state fMRI
spellingShingle Dongqiang Liu
Chaogan Yan
Juejing Ren
Li Yao
Vesa J Kiviniemi
Yufeng Zang
Using coherence to measure regional homogeneity of resting-state fMRI signal
Frontiers in Systems Neuroscience
coherence
local feature
regional homogeneity
resting state fMRI
title Using coherence to measure regional homogeneity of resting-state fMRI signal
title_full Using coherence to measure regional homogeneity of resting-state fMRI signal
title_fullStr Using coherence to measure regional homogeneity of resting-state fMRI signal
title_full_unstemmed Using coherence to measure regional homogeneity of resting-state fMRI signal
title_short Using coherence to measure regional homogeneity of resting-state fMRI signal
title_sort using coherence to measure regional homogeneity of resting state fmri signal
topic coherence
local feature
regional homogeneity
resting state fMRI
url http://journal.frontiersin.org/Journal/10.3389/fnsys.2010.00024/full
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