A WAVELET ANALYSIS OF BOLD SIGNALS OBTAINED IN MR STUDIES FOR ADHD DIAGNOSIS

Authors

  • Dulce Isabel Gonzalez-Gomez Faculty of Physical and Mathematical Sciences, Benem´erita Universidad Aut´onoma de Puebla, Mexico
  • Javier Miguel Hernandez Lopez Faculty of Physical and Mathematical Sciences, Benem´erita Universidad Aut´onoma de Puebla, Mexico
  • Eduardo Moreno Barbosa Faculty of Physical and Mathematical Sciences, Benem´erita Universidad Aut´onoma de Puebla, Mexico
  • Mario Ivan Martınez Hernandez Faculty of Physical and Mathematical Sciences, Benem´erita Universidad Aut´onoma de Puebla, Mexico
  • Silvia Hidalgo Tobon Imaging Department, Hospital Infantil de México Federico Gómez, México DF, Mexico Basic Sciences and Engineering division, Faculty of Physics. UAM-Iztapalapa, Mexico
  • Benito de Celis Alonso Foundation for Development Carlos de Sigüenza, Mexico

DOI:

https://doi.org/10.19044/esj.2014.v10n30p%25p

Abstract

A series of wavelet analysis techniques were applied to the Blood Oxygen Level Dependent (BOLD) signals of Functional Magnetic Resonance Images (fMRI) of healthy children and a group diagnosed with Attention deficit hyperactivity disorder (ADHD). Imaging was performed on a total of 15 subjects (ages between 4 – 13 years) divided into Healthy (H) and ADHD (AD) groups. The 1.5T Philips scanner from ``Hospital Infantil de México Federico Gómez´´ was used to obtain data. Statistically significant differences were found for the wavelet scale and the frequency parameters between the H and the AD groups. These results point towards the future use of these techniques as diagnostic tools.

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Published

2014-10-30

How to Cite

Gonzalez-Gomez, D. I., Lopez, J. M. H., Barbosa, E. M., Hernandez, M. I. M., Tobon, S. H., & Alonso, B. de C. (2014). A WAVELET ANALYSIS OF BOLD SIGNALS OBTAINED IN MR STUDIES FOR ADHD DIAGNOSIS. European Scientific Journal, ESJ, 10(30). https://doi.org/10.19044/esj.2014.v10n30p%p

Issue

Vol. 10 No. 30 (2014): ESJ October Edition

Section

Articles

License

This work is licensed under a Creative Commons Attribution 4.0 International License.