کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
4335582 | 1295167 | 2010 | 14 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
The non-separability of physiologic noise in functional connectivity MRI with spatial ICA at 3Â T
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کلمات کلیدی
Group ICAFunctional connectivity - اتصال عملکردی Resting state networks - استراحت شبکه های دولتیIndependent component analysis - تجزیه و تحلیل جزء مستقلfunctional magnetic resonance imaging - تصویرسازی تشدید مغناطیسی کارکردیDefault mode - حالت پیش فرضdefault mode network - شبکه حالت پیش فرضPhysiologic noise - نویز فیزیولوژیک
موضوعات مرتبط
علوم زیستی و بیوفناوری
علم عصب شناسی
علوم اعصاب (عمومی)
پیش نمایش صفحه اول مقاله
![عکس صفحه اول مقاله: The non-separability of physiologic noise in functional connectivity MRI with spatial ICA at 3Â T The non-separability of physiologic noise in functional connectivity MRI with spatial ICA at 3Â T](/preview/png/4335582.png)
چکیده انگلیسی
The impact of physiologic noise on spatial ICA analyses of resting state BOLD-weighted MRI data is investigated. Using FastICA and Infomax ICA, two common ICA algorithms, we apply a group spatial ICA method across multiple subjects. We compare the spatial maps from five commonly identified functional networks and show that physiologic noise correction techniques introduce significant changes in the spatial ICA decomposition of all five networks, greater than the changes introduced by either algorithmic indeterminacy (re-running ICA) or the changes introduced by decreasing the decomposition dimensionality due to physiologic noise removal. In addition, we demonstrate that the sources associated with these components have significant temporal correlation to parallel measures of cardiac and respiratory rates, and these are reduced after correction. We conclude that ICA decomposition is significantly affected by physiologic noise and the ICA process alone is not sufficient to separate physiologic noise effects in the brain. It is recommended that physiologic noise correction be applied to timeseries data prior to ICA decomposition.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Journal of Neuroscience Methods - Volume 191, Issue 2, 30 August 2010, Pages 263-276
Journal: Journal of Neuroscience Methods - Volume 191, Issue 2, 30 August 2010, Pages 263-276
نویسندگان
Erik B. Beall, Mark J. Lowe,