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 wi...

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Bibliographic Details
Main Authors: Karen Romero Sánchez, A Vásquez Reyes Marcos, I González Gómez Dulce, Silvia Hidalgo Tobón, Hernández López Javier, M, Pilar Dies Suarez, Eduardo Barragán Pérez, Benito De Celis Alonso
Format: Conference Proceeding
Language:English
Subjects:
60 APPLIED LIFE SCIENCES
ALGORITHMS
Attention Deficit Hyperactivity Disorder
CEREBELLUM
COMPARATIVE EVALUATIONS
DIAGNOSIS
Fractals
IMAGE PROCESSING
INFANTS
Mathematical analysis
NMR IMAGING
NUCLEAR MAGNETIC RESONANCE
PATIENTS
RADIOLOGY AND NUCLEAR MEDICINE
Wavelet analysis
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Summary: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
ISSN:0094-243X
1551-7616
DOI:10.1063/1.4901390