AI Article Synopsis
- AICHA is a new atlas of brain regions that focuses on functional connectivity among homotopic areas in both hemispheres, derived from resting-state fMRI data of 281 individuals.
- It incorporates unique characteristics, like homotopic counterparts with maximum connectivity, and includes 192 pairs of regions, improving on traditional anatomical ROI atlases.
- AICHA allows for better analysis of intrinsic connectivity and insights into how different brain hemispheres specialize, thus providing a valuable tool for neuroscience research.
Article Abstract
Background: Atlases of brain anatomical ROIs are widely used for functional MRI data analysis. Recently, it was proposed that an atlas of ROIs derived from a functional brain parcellation could be advantageous, in particular for understanding how different regions share information. However, functional atlases so far proposed do not account for a crucial aspect of cerebral organization, namely homotopy, i.e. that each region in one hemisphere has a homologue in the other hemisphere.
New Method: We present AICHA (for Atlas of Intrinsic Connectivity of Homotopic Areas), a functional brain ROIs atlas based on resting-state fMRI data acquired in 281 individuals. AICHA ROIs cover the whole cerebrum, each having 1-homogeneity of its constituting voxels intrinsic activity, and 2-a unique homotopic contralateral counterpart with which it has maximal intrinsic connectivity. AICHA was built in 4 steps: (1) estimation of resting-state networks (RSNs) using individual resting-state fMRI independent components, (2) k-means clustering of voxel-wise group level profiles of connectivity, (3) homotopic regional grouping based on maximal inter-hemispheric functional correlation, and (4) ROI labeling.
Results: AICHA includes 192 homotopic region pairs (122 gyral, 50 sulcal, and 20 gray nuclei). As an application, we report inter-hemispheric (homotopic and heterotopic) and intra-hemispheric connectivity patterns at different sparsities.
Comparison With Existing Method: ROI functional homogeneity was higher for AICHA than for anatomical ROI atlases, but slightly lower than for another functional ROI atlas not accounting for homotopy.
Conclusion: AICHA is ideally suited for intrinsic/effective connectivity analyses, as well as for investigating brain hemispheric specialization.
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| http://dx.doi.org/10.1016/j.jneumeth.2015.07.013 | DOI Listing |
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