Determining Functional Correlation between Brain Regions at the Molecular Level

Manhong Dai; Huda Akil; Stanley J. Watson; Fan Meng
ISMB. 2007.


Despite the fact that brain circuits are critical for the understanding of CNS functions in normal and disease states, current microarray-based data analyses are focusing on the analysis of individual brain regions without considering their functional relationships. We explore the usefulness of microarray data in determining both the system and molecular level functional correlations across different brain regions. Our results show that effective functional correlations measures can be developed for the investigation of functional relationships between different brain regions and their alteration in disease states. Our approach is also applicable to situations where multiple functionally related samples are analyzed by microarray methods.