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Abstract #2095

Functional Relevance of Spatial ICA and K-means Clustering

Jun Young Jeong 1 , Julia Druzbicki 2 , Kun-Han Lu 1 , Haiguang Wen 1 , and Zhongming Liu 1,3

1 Electrical and computer engineering, Purdue University, West Lafayette, IN, United States, 2 Department of statistics, Purdue University, IN, United States, 3 Weldon school of biomedical engineering, Purdue University, IN, United States

To facilitate the functional interpretation of the spatial patterns of resting state fMRI extracted by using either the K-means spatial clustering or spatial ICA, we compared them with the patterns obtained by applying these two methods to a large set of task activation maps. We confirmed the close correspondence between the resting state and task activation patterns extracted by using spatial ICA. However, we failed to establish a similar level of correspondence for the spatial k-means clustering. This distinction is speculated to have a methodological basis.

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