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Title: Wavelet analysis of MR functional data from the cerebellum

Journal Article · · AIP Conference Proceedings
DOI:https://doi.org/10.1063/1.4901390· OSTI ID:22390516

The main goal of this project was to create a computer algorithm based on wavelet analysis of BOLD signals, which automatically diagnosed ADHD using information from resting state MR experiments. Male right handed volunteers (infants with ages between 7 and 11 years old) were studied and compared with age matched controls. Wavelet analysis, which is a mathematical tool used to decompose time series into elementary constituents and detect hidden information, was applied here to the BOLD signal obtained from the cerebellum 8 region of all our volunteers. Statistical differences between the values of the a parameters of wavelet analysis was found and showed significant differences (p<0.02) between groups. This difference might help in the future to distinguish healthy from ADHD patients and therefore diagnose ADHD.

OSTI ID:
22390516
Journal Information:
AIP Conference Proceedings, Vol. 1626, Issue 1; Conference: 13. Mexican Symposium on Medical Physics, Leon, Guanajuato (Mexico), 15-16 Mar 2014; Other Information: (c) 2014 AIP Publishing LLC; Country of input: International Atomic Energy Agency (IAEA); ISSN 0094-243X
Country of Publication:
United States
Language:
English