Keywords: Software Tools, Software Tools, brain asymmetry, rs-fMRI, DTI, connectome
Motivation: Hemispheric asymmetries have shown a great potential for early detection of a variety of neurological disorders such as traumatic brain injury. However, the lack of consistency in study outcomes is a common issue, largely stemming from the restricted sample sizes and methodological variations.
Goal(s): To develop a unified framework for the processing of multimodal imaging data for a comprehensive evaluation of brain asymmetry.
Approach: Combination of state-of-the-art algorithms for multimodal imaging data to estimate different metrics of brain asymmetry.
Results: By providing comprehensive measurements of brain asymmetry, this framework has the potential for early detection and monitoring of neurological disease.
Impact: The study aims to address inconsistencies in hemispheric asymmetry research by developing a unified framework for the estimation of brain asymmetry and offers a promising avenue for early detection and monitoring of neurological diseases.
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