کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
378135 658887 2007 9 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
An fMRI framework for identifying statistical differences in blood oxygenated level dependent response levels: A brain injury demonstration
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر هوش مصنوعی
پیش نمایش صفحه اول مقاله
An fMRI framework for identifying statistical differences in blood oxygenated level dependent response levels: A brain injury demonstration
چکیده انگلیسی

SummaryObjectiveThe general concept surrounding fMRI data analysis for decision support is leveraging previously hidden knowledge from publicly available metadata sources with a high degree of precision.Methods and materialsNormalized fMRI scans are used to calculate cumulative voxel intensity curves for every subject in the dataset that fits chosen demographic criteria. The voxel intensity curve has a direct linear relationship to the subject's neuronal activity. In the case of head trauma, a subject's voxel intensity curve would be statistically compared to the weighted average curve for every subject in dataset that is demographically similar. If the new subject's neuronal activity falls below the threshold for their demographic group, the brain injury detection (BID) system would then pinpoint the areas of deficiency based on Broadmann's cortical areas.AnalysisThe analysis presented in this paper indicates that statistical differences among demographic groups exist in BOLD fMRI responses.ConclusionUseful knowledge can in fact be leveraged from mining stockpiled fMRI data without the need for unique human identifiers. The BID system offers the radiologist a statistically based decision support for brain injury.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Artificial Intelligence in Medicine - Volume 40, Issue 3, July 2007, Pages 201–209
نویسندگان
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