کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
6878264 692517 2015 63 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Sparse representation of whole-brain fMRI signals for identification of functional networks
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر گرافیک کامپیوتری و طراحی به کمک کامپیوتر
پیش نمایش صفحه اول مقاله
Sparse representation of whole-brain fMRI signals for identification of functional networks
چکیده انگلیسی
Overview of the computational pipeline of identifying functional brain networks via sparse representation of whole-brain fMRI signals. (a) An example of the learned sparse dictionary of 400 functional components (indexed by the horizontal axis). The vertical axis stands for the occurrence frequency of each component in over 40,000 fMRI BOLD signals in a whole brain. The three dictionary components highlighted by yellow, blue and red circles correspond to different functional networks. They are: (b) task related component in which the response well follows the external block-based task paradigm, (c) anti-task related component in which the response well follows the inverse of external block-based task paradigm, and (d) DMN component. In each component (b-d), the corresponding signals (colored curves) accompanied with the task stimulus (white curve) are shown in the top panels. Their spatial distributions are also back-projected onto the volumetric images in the lower panel. Each voxel is color-coded by the reference weight used in the sparse representation.139
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Medical Image Analysis - Volume 20, Issue 1, February 2015, Pages 112-134
نویسندگان
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