کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
6033707 | 1188748 | 2011 | 9 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Test-retest assessment of independent component analysis-derived resting-state functional connectivity based on functional near-infrared spectroscopy
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کلمات کلیدی
موضوعات مرتبط
علوم زیستی و بیوفناوری
علم عصب شناسی
علوم اعصاب شناختی
پیش نمایش صفحه اول مقاله
![عکس صفحه اول مقاله: Test-retest assessment of independent component analysis-derived resting-state functional connectivity based on functional near-infrared spectroscopy Test-retest assessment of independent component analysis-derived resting-state functional connectivity based on functional near-infrared spectroscopy](/preview/png/6033707.png)
چکیده انگلیسی
âºFNIRS-based, ICA-derived RSFC is reliable at the map- and cluster-level. âºICA is suitable for resting-state fNIRS study as a reliable RSFC-detection tool. âºCluster-wise analysis is suggested for future resting-state fNIRS study. âºChannel-wise RSFC should be carefully interpreted because of low reliability. âºGroup-level RSFC is more reliable than individual-level RSFC.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: NeuroImage - Volume 55, Issue 2, 15 March 2011, Pages 607-615
Journal: NeuroImage - Volume 55, Issue 2, 15 March 2011, Pages 607-615
نویسندگان
Han Zhang, Lian Duan, Yu-Jin Zhang, Chun-Ming Lu, Hanli Liu, Chao-Zhe Zhu,