Ӧ�ø���ͳ�� 2014, 30(2) 169-180 DOI:      ISSN: 1001-4268 CN: 31-1256

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The Study of Brain Functional Connectivity Based on Medical Image Data
Huang Jing, Guo Shuixia
College of Mathematics and Computer Science, Hunan Normal University

This paper studies significant differences
in functional connectivity between schizophrenia patients and healthy
controls by different methods. Firstly, three different brain functional
networks are constructed by Pearson correlation coefficient, partial
correlation coefficient and wavelet correlation coefficient, and then
the paper uses risk difference to find out those significant differences.
Finally, a comparative analysis is made. The result shows that common
and abnormal connectivity exists in different networks where functional
connectivity between the precuneus and posterior cingulate cortex weakens
significantly among schizophrenia patients compared with controls. And
more notably, the sign of some statistic appears in some significant
functional connectivity is completely contrary. That is to say, as
opposed to controls this functional connectivity in patients is both
strengthened and weakened simultaneously. It shows that statistical
test makes the results more persuasive as searching for abnormal
functional connectivity in brain networks in terms of statistics.

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