This paper illustrates the utility of graph signal processing tools in the joint analysis of diffusion and functional magnetic resonance imaging (i.e. dMRI and ...
Feb 7, 2020 · PDF | On Nov 1, 2019, Saurabh Sihag and others published GSP Analysis of Brain Imaging Data from Athletes with History of Multiple ...
In this paper, we illustrate the utility of GSP tools to analyze brain imaging data (dMRI and fMRI) in the context of concus- sion. The brain imaging data were ...
GSP Analysis of Brain Imaging Data from Athletes with History of Multiple Concussions. S. Sihag, S. Naze, F. Taghdiri, M. Tartaglia, and J. Kozloski.
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GSP Analysis of Brain Imaging Data from Athletes with History of Multiple Concussions. Saurabh Sihag, Sebastien Naze, Foad Taghdiri, Maria Carmela Tartaglia ...
Jan 1, 2020 · This paper uses the tools from graph signal processing (GSP) to select the brain regions of interest (ROIs) that have significant statistical ...
GSP analysis of brain imaging data from athletes with history of multiple concussions. Saurabh Sihag; Sébastien Naze; et al. 2019 · Multimodal Dynamic Brain ...
Our primary aim was to use statistical analyses to explore whether the associated features extracted from structural and functional brain imaging data are ...
Oct 22, 2024 · Multimodal Dynamic Brain Connectivity Analysis Based on Graph Signal Processing for Former Athletes With History of Multiple Concussions.
In the amateur boxers 3 out of 42 had microhemorrhages compared with 0 out of 37 healthy control, although this finding was not statistically significant.
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