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  • Title: Functional connectivity hemispheric contrast (FC-HC): A new metric for language mapping.
    Author: Mbwana JS, You X, Ailion A, Fanto EJ, Krishnamurthy M, Sepeta LN, Newport EL, Vaidya CJ, Berl MM, Gaillard WD.
    Journal: Neuroimage Clin; 2021; 30():102598. PubMed ID: 33858809.
    Abstract:
    Development of a task-free method for presurgical mapping of language function is important for use in young or cognitively impaired patients. Resting state connectivity fMRI (RS-fMRI) is a task-free method that may be used to identify cognitive networks. We developed a voxelwise RS-fMRI metric, Functional Connectivity Hemispheric Contrast (FC-HC), to map the language network and determine language laterality through comparison of within-hemispheric language network connections (Integration) to cross-hemispheric connections (Segregation). For the first time, we demonstrated robustness and efficacy of a RS-fMRI metric to map language networks across five groups (total N = 243) that differed in MRI scanning parameters, fMRI scanning protocols, age, and development (typical vs pediatric epilepsy). The resting state FC-HC maps for the healthy pediatric and adult groups showed higher values in the left hemisphere, and had high agreement with standard task language fMRI; in contrast, the epilepsy patient group map was bilateral. FC-HC has strong but not perfect agreement with task fMRI and thus, may reflect related and complementary information about language plasticity and compensation.
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