Resting‐state functional connectivity of subcortical locomotor centers explains variance in walking capacity. Issue 12 (27th July 2018)

• Record Type: Journal Article
• Authors: Boyne, Pierce; Maloney, Thomas; DiFrancesco, Mark; Fox, Michael D.; Awosika, Oluwole; Aggarwal, Pushkar; Woeste, Jennifer; Jaroch, Laurel; Braswell, Daniel; Vannest, Jennifer
• Is Part Of: Human brain mapping. Volume 39:Issue 12(2018)
• Page Start: 4831
• Page End: 4843
• Publication Date: 2018-07-27
• Subjects: brain -- gait -- locomotion -- magnetic resonance imaging -- network; Brain mapping -- Periodicals; 611.81
• DOI: 10.1002/hbm.24326
• Languages: English
• ISSNs: 1065-9471

Abstract

Abstract: Walking capacity influences the quality of life and disability in normal aging and neurological disease, but the neural correlates remain unclear and subcortical locomotor regions identified in animals have been more challenging to assess in humans. Here we test whether resting‐state functional MRI connectivity (rsFC) of midbrain and cerebellar locomotor regions (MLR and CLR) is associated with walking capacity among healthy adults. Using phenotypic and MRI data from the Nathan Kline Institute Rockland Sample ( n =119, age 18–85), the association between walking capacity (6‐min walk test distance) and rsFC was calculated from subcortical locomotor regions to 81 other gait‐related regions of interest across the brain. Additional analyses assessed the independence and specificity of the results. Walking capacity was associated with higher rsFC between the MLR and superior frontal gyrus adjacent to the anterior cingulate cortex, higher rsFC between the MLR and paravermal cerebellum, and lower rsFC between the CLR and primary motor cortex foot area. These rsFC correlates were more strongly associated with walking capacity than phenotypic variables such as age, and together explained 25% of the variance in walking capacity. Results were specific to locomotor regions compared with the other brain regions. The rsFC of locomotor centers correlates with walking capacity among healthy adults. These locomotion‐related biomarkers may prove useful in future work aimed at helping patients with reduced walking capacity.