Abstract #300749

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JSM 2003 Abstract #300749
Activity Number: 251
Type: Contributed
Date/Time: Tuesday, August 5, 2003 : 10:30 AM to 12:20 PM
Sponsor: Biometrics Section
Abstract - #300749
Title: Measures of fMRI Neurologic Synchrony
Author(s): Daniel B. Rowe*+
Companies: Medical College of Wisconsin
Address: Department of Biophysics, Milwaukee, WI, 53226,
Keywords: Correlation matrix hypotheses ; functional connectivity
Abstract:

In neuroscience, it is well known that regions of the brain exhibit functional synchrony. Functional synchrony is characterized by regions of the brain having correlated neural activity. A well established method to describe this synchrony in fMRI is the average cross correlation termed the COSLOF index. The COSLOF has proved useful as a noninvasive quantitative marker of hippocampal synchrony for the preclinical stage of Alzheimer's disease. This paper presents the COMDET, an alternative index of functional synchrony, and compares it to the COSLOF with their statistical underpinnings. The COSLOF and COMDET result from generalized likelihood ratio tests of independence versus intraclass or general correlation structure. Logarithmic functions of these two statistics are presented with their asymptotic chi squared distributions. These two statistics are empirically compared under five correlation structures. It is found that the COMDET performs better than the COSLOF except under the case of a small sample and small correlation. Critical values are presented which are determined via Monte Carlo simulation.

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