Atlas-Based Analysis of Resting-State Functional Connectivity: Evaluation for Reproducibility and Multi-Modal Anatomy-Function Correlation Studies

摘要: Resting state functional connectivity MRI (rsfc-MRI) reveals a wealth of information about the organization brain, but poses unique challenges for quantitative image analysis, mostly related to large number voxels with low signal-to-noise ratios. In this study, we tested idea using prior spatial parcellation entire brain into various structural units, perform an analysis on structure-by-structure, rather than voxel-by-voxel, basis. This based upon atlas parcels, potentially offers enhanced SNR and reproducibility, can be used as common anatomical framework cross-modality cross-subject analysis. We Large Deformation Diffeomorphic Metric Mapping (LDDMM) deformable parcel each 185 regions. To investigate precision computed inter-parcel correlations in 20 participants, whom was scanned twice, well consistency patterns inter- intra-subject, intersession reproducibility. report significant consistent previous findings, high test-retest reliability, important consideration when goal is compare clinical populations. As example correlation also examined.