A clustering-based method to detect functional connectivity differences. Neuroimage 2012 May 15;61(1):56-61
Date
03/13/2012Pubmed ID
22405733Pubmed Central ID
PMC3342474DOI
10.1016/j.neuroimage.2012.02.064Scopus ID
2-s2.0-84859065800 (requires institutional sign-in at Scopus site) 14 CitationsAbstract
Recently, resting-state functional magnetic resonance imaging (R-fMRI) has emerged as a powerful tool for investigating functional brain organization changes in a variety of neurological and psychiatric disorders. However, the current techniques may need further development to better define the reference brain networks for quantifying the functional connectivity differences between normal and diseased subject groups. In this study, we introduced a new clustering-based method that can clearly define the reference clusters. By employing group difference information to guide the clustering, the voxels within the reference clusters will have homogeneous functional connectivity changes above predefined levels. This method identified functional clusters that were significantly different between the amnestic mild cognitively impaired (aMCI) and age-matched cognitively normal (CN) subjects. The results indicated that the distribution of the clusters and their functionally disconnected regions resembled the altered memory network regions previously identified in task fMRI studies. In conclusion, the new clustering method provides an advanced approach for studying functional brain organization changes associated with brain diseases.
Author List
Chen G, Ward BD, Xie C, Li W, Chen G, Goveas JS, Antuono PG, Li SJAuthors
Piero G. Antuono MD Professor in the Neurology department at Medical College of WisconsinJoseph S. Goveas MD Professor in the Psychiatry and Behavioral Medicine department at Medical College of Wisconsin
MESH terms used to index this publication - Major topics in bold
AgedBehavior
Brain
Cluster Analysis
Cognitive Dysfunction
Data Interpretation, Statistical
False Positive Reactions
Female
Humans
Image Processing, Computer-Assisted
Magnetic Resonance Imaging
Male
Mental Recall
Neural Pathways
Neuropsychological Tests
