Identification of brain activity by fractal scaling analysis of functional MRI data Conference Paper


Authors: Lee, J. M.; Hu, J.; Gao, J. B.; White, K. D.; Crosson, B.; Wierenga, C. E.; McGregor, K.; Peck, K. K.
Title: Identification of brain activity by fractal scaling analysis of functional MRI data
Conference Title: 2005 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP '05
Abstract: Functional magnetic resonance imaging (fMRI) is a powerful tool for studying brain function, especially related to disease and aging. One of the major tasks of fMRI data analysis is to find a few specific regions involved in certain functionality by studying huge but noisy 3-dimensional spatial plus 1-dimensional temporal data. Therefore, developing simple and reliable signal/image processing algorithms for fMRI data analysis is very important. In this paper, we systematically study how fractal scaling analysis can help us reliably detect brain activity through fMRI data analysis. We examine two types of fractal analysis, the fluctuation analysis (FA) and detrended fluctuation analysis (DFA). We show that while FA is able to readily distinguish active brain regions from in-active ones, it fails to robustly recognize which active regions in the brain are truly involved in certain task. On the other hand, we show that DFA is very effective for this task. © 2005 IEEE.
Keywords: magnetic resonance imaging; algorithms; brain; image processing; diseases; detrended fluctuation analysis; fluctuation analysis; fractals; data processing; fractal scaling; temporal data
Journal Title IEEE International Conference on Acoustics, Speech and Signal Processing. Proceedings
Volume: 2
Conference Dates: 2005 Mar 18-23
Conference Location: Philadelphia, PA
ISBN: 1520-6149
Publisher: IEEE  
Location: Philadelphia, PA
Date Published: 2005-01-01
Start Page: II137
End Page: II140
Language: English
DOI: 10.1109/ICASSP.2005.1415360
PROVIDER: scopus
DOI/URL:
Notes: --- - ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings - ICASSP IEEE Int Conf Acoust Speech Signal Process Proc - "Conference code: 67354" - "Cited By (since 1996): 4" - "Export Date: 24 October 2012" - "Art. No.: 1415360" - "CODEN: IPROD" - "Sponsors: IEEE Signal Processing Society" - 18 March 2005 through 23 March 2005 - "Source: Scopus"
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  1. Kyung Peck
    109 Peck