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Effective Preprocessing Procedures Virtually Eliminate Distance-Dependent Motion Artifacts in Resting State FMRI
المؤلفون المشاركون
Gotts, Stephen J.
Jo, Hang Joon
Saad, Ziad S.
Reynolds, Richard C.
Martin, Alex
Cox, Robert W.
Bandettini, Peter A.
المصدر
Journal of Applied Mathematics
العدد
المجلد 2013، العدد 2013 (31 ديسمبر/كانون الأول 2013)، ص ص. 1-9، 9ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2013-06-10
دولة النشر
مصر
عدد الصفحات
9
التخصصات الرئيسية
الملخص EN
Artifactual sources of resting-state (RS) FMRI can originate from head motion, physiology, and hardware.
Of these sources, motion has received considerable attention and was found to induce corrupting effects by differentially biasing correlations between regions depending on their distance.
Numerous corrective approaches have relied on the identification and censoring of high-motion time points and the use of the brain-wide average time series as a nuisance regressor to which the data are orthogonalized (Global Signal Regression, GSReg).
We replicate the previously reported head-motion bias on correlation coefficients and then show that while motion can be the source of artifact in correlations, the distance-dependent bias is exacerbated by GSReg.
Put differently, correlation estimates obtained after GSReg are more susceptible to the presence of motion and by extension to the levels of censoring.
More generally, the effect of motion on correlation estimates depends on the preprocessing steps leading to the correlation estimate, with certain approaches performing markedly worse than others.
For this purpose, we consider various models for RS FMRI preprocessing and show that the local white matter regressor (WMeLOCAL), a subset of ANATICOR, results in minimal sensitivity to motion and reduces by extension the dependence of correlation results on censoring.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Jo, Hang Joon& Gotts, Stephen J.& Reynolds, Richard C.& Bandettini, Peter A.& Martin, Alex& Cox, Robert W.…[et al.]. 2013. Effective Preprocessing Procedures Virtually Eliminate Distance-Dependent Motion Artifacts in Resting State FMRI. Journal of Applied Mathematics،Vol. 2013, no. 2013, pp.1-9.
https://search.emarefa.net/detail/BIM-509456
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Jo, Hang Joon…[et al.]. Effective Preprocessing Procedures Virtually Eliminate Distance-Dependent Motion Artifacts in Resting State FMRI. Journal of Applied Mathematics No. 2013 (2013), pp.1-9.
https://search.emarefa.net/detail/BIM-509456
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Jo, Hang Joon& Gotts, Stephen J.& Reynolds, Richard C.& Bandettini, Peter A.& Martin, Alex& Cox, Robert W.…[et al.]. Effective Preprocessing Procedures Virtually Eliminate Distance-Dependent Motion Artifacts in Resting State FMRI. Journal of Applied Mathematics. 2013. Vol. 2013, no. 2013, pp.1-9.
https://search.emarefa.net/detail/BIM-509456
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-509456
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
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