کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
1807017 1025239 2010 8 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Analysis of functional networks involved in motor execution and motor imagery using combined hierarchical clustering analysis and independent component analysis
موضوعات مرتبط
مهندسی و علوم پایه فیزیک و نجوم فیزیک ماده چگال
پیش نمایش صفحه اول مقاله
Analysis of functional networks involved in motor execution and motor imagery using combined hierarchical clustering analysis and independent component analysis
چکیده انگلیسی

Cognitive experiments involving motor execution (ME) and motor imagery (MI) have been intensively studied using functional magnetic resonance imaging (fMRI). However, the functional networks of a multitask paradigm which include ME and MI were not widely explored. In this article, we aimed to investigate the functional networks involved in MI and ME using a method combining the hierarchical clustering analysis (HCA) and the independent component analysis (ICA). Ten right-handed subjects were recruited to participate a multitask experiment with conditions such as visual cue, MI, ME and rest. The results showed that four activation clusters were found including parts of the visual network, ME network, the MI network and parts of the resting state network. Furthermore, the integration among these functional networks was also revealed. The findings further demonstrated that the combined HCA with ICA approach was an effective method to analyze the fMRI data of multitasks.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Magnetic Resonance Imaging - Volume 28, Issue 5, June 2010, Pages 653–660
نویسندگان
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