Temporal Clustering Analysis: 3D Versus 2D Approaches in Functional MRI Studies
Zhao X, Tang J, Gao J
University of Texas Health Science Center at San Antonio
Temporal clustering analysis (TCA) is a promising data-driven technique for fMRI data analysis. All previous TCA studies were performed on single-slice fMRI datasets. In practice, multiple-slice or 3D fMRI data acquisition are employed in clinical application. The effectiveness of TCA on multiple-slice datasets are evaluated in this study. Both 2D (single-slice) and 3D (multiple-slice) approaches of TCA were used and compared on simulated and in vivo fMRI data. Our results demonstrate that best performance of TCA can be achieved by using a 3D approach when only those slices having brain activations were included in data analysis.