أعرض في EDS

Wavelet analysis of MR functional data from the cerebellum

التفاصيل البيبلوغرافية
العنوان: Wavelet analysis of MR functional data from the cerebellum
المؤلفون: De Celis Alonso Benito, I González Gómez Dulce, Dies Suarez Pilar, Barragán Pérez Eduardo, A Vásquez Reyes Marcos, Romero Sánchez Karen, Hidalgo Tobón Silvia, M Hernández López Javier
المصدر: AIP Conference Proceedings.
بيانات النشر: AIP Publishing LLC, 2014.
سنة النشر: 2014
مصطلحات موضوعية: Cerebellum, Resting state fMRI, Right handed, business.industry, Pattern recognition, Computer algorithm, Wavelet, medicine.anatomical_structure, medicine, Bold fmri, Artificial intelligence, MR.functional, Psychology, business
الوصف: 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
تدمد: 0094-243X
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_________::b297d98caa69e052f6f6539f658decba
https://doi.org/10.1063/1.4901390
رقم الأكسشن: edsair.doi...........b297d98caa69e052f6f6539f658decba
قاعدة البيانات: OpenAIRE
الوصف
تدمد:0094243X