Title | ||
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Atlas-based analysis of resting-state functional connectivity: Evaluation for reproducibility and multi-modal anatomy-function correlation studies. |
Abstract | ||
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Resting state functional connectivity MRI (rsfc-MRI) reveals a wealth of information about the functional organization of the brain, but poses unique challenges for quantitative image analysis, mostly related to the large number of voxels with low signal-to-noise ratios. In this study, we tested the idea of using a prior spatial parcellation of the entire brain into various structural units, to perform an analysis on a structure-by-structure, rather than voxel-by-voxel, basis. This analysis, based upon atlas parcels, potentially offers enhanced SNR and reproducibility, and can be used as a common anatomical framework for cross-modality and cross-subject quantitative analysis. We used Large Deformation Diffeomorphic Metric Mapping (LDDMM) and a deformable brain atlas to parcel each brain into 185 regions. To investigate the precision of the cross-subject analysis, we computed inter-parcel correlations in 20 participants, each of whom was scanned twice, as well as the consistency of the connectivity patterns inter- and intra-subject, and the intersession reproducibility. We report significant inter-parcel correlations consistent with previous findings, and high test–retest reliability, an important consideration when the goal is to compare clinical populations. As an example of the cross-modality analysis, correlation with anatomical connectivity is also examined. |
Year | DOI | Venue |
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2012 | 10.1016/j.neuroimage.2012.03.078 | NeuroImage |
Keywords | Field | DocType |
Resting state,fMRI,rsfc-fMRI,Atlas,Connectivity | Voxel,Brain mapping,Reproducibility,Brain atlas,Computer science,Resting state fMRI,Cognitive psychology,Artificial intelligence,Computer vision,Pattern recognition,Linear model,Large deformation diffeomorphic metric mapping,Correlation | Journal |
Volume | Issue | ISSN |
61 | 3 | 1053-8119 |
Citations | PageRank | References |
7 | 0.51 | 16 |
Authors | ||
8 |
Name | Order | Citations | PageRank |
---|---|---|---|
Andreia Faria | 1 | 213 | 9.18 |
Suresh Joel | 2 | 48 | 2.82 |
Yajing Zhang | 3 | 68 | 3.22 |
Kenichi Oishi | 4 | 456 | 23.56 |
Peter van Zijl | 5 | 1090 | 73.41 |
Michael I Miller | 6 | 3123 | 422.82 |
James J. Pekar | 7 | 158 | 11.43 |
Susumu Mori | 8 | 645 | 43.22 |