skip to main content

Title: Wavelet analysis of MR functional data from the cerebellum

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.
Authors:
; ; ;  [1] ;  [2] ; ;  [3] ;  [4]
  1. Faculty of Physics and Mathematics, BUAP, Puebla, Pue (Mexico)
  2. Infant Hospital of Mexico, Federico Gómez, Mexico DF. Mexico and Physics Department, Universidad Autónoma Metropolitana. Iztapalapa, Mexico DF. (Mexico)
  3. Infant Hospital of Mexico, Federico Gómez, Mexico DF. (Mexico)
  4. Faculty of Physics and Mathematics, BUAP, Puebla, Pue. Mexico and Foundation for Development Carlos Sigüenza. Puebla, Pue. (Mexico)
Publication Date:
OSTI Identifier:
22390516
Resource Type:
Journal Article
Resource Relation:
Journal Name: AIP Conference Proceedings; Journal Volume: 1626; Journal 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)
Country of Publication:
United States
Language:
English
Subject:
60 APPLIED LIFE SCIENCES; 62 RADIOLOGY AND NUCLEAR MEDICINE; ALGORITHMS; CEREBELLUM; COMPARATIVE EVALUATIONS; DIAGNOSIS; IMAGE PROCESSING; INFANTS; NMR IMAGING; NUCLEAR MAGNETIC RESONANCE; PATIENTS