کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
6027176 1580910 2014 14 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Reduction of motion-related artifacts in resting state fMRI using aCompCor
موضوعات مرتبط
علوم زیستی و بیوفناوری علم عصب شناسی علوم اعصاب شناختی
پیش نمایش صفحه اول مقاله
Reduction of motion-related artifacts in resting state fMRI using aCompCor
چکیده انگلیسی


- We compared PCA- and mean signal-based artifact reduction methods for rs-fMRI data.
- PCA more effectively attenuated motion artifacts than mean signal.
- PCA enhanced the specificity of functional connectivity compared to mean signal.
- Scan scrubbing following PCA did not further reduce motion artifacts.

Recent studies have illustrated that motion-related artifacts remain in resting-state fMRI (rs-fMRI) data even after common corrective processing procedures have been applied, but the extent to which head motion distorts the data may be modulated by the corrective approach taken. We compare two different methods for estimating nuisance signals from tissues not expected to exhibit BOLD fMRI signals of neuronal origin: 1) the more commonly used mean signal method and 2) the principal components analysis approach (aCompCor: Behzadi et al., 2007). Further, we investigate the added benefit of “scrubbing” (Power et al., 2012) following both methods. We demonstrate that the use of aCompCor removes motion artifacts more effectively than tissue-mean signal regression. In addition, inclusion of more components from anatomically defined regions of no interest better mitigates motion-related artifacts and improves the specificity of functional connectivity estimates. While scrubbing further attenuates motion-related artifacts when mean signals are used, scrubbing provides no additional benefit in terms of motion artifact reduction or connectivity specificity when using aCompCor.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: NeuroImage - Volume 96, 1 August 2014, Pages 22-35
نویسندگان
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