| Literature DB >> 29272214 |
Francesca Tona1, Laura De Giglio1, Nikolaos Petsas1, Emilia Sbardella1, Luca Prosperini1, Neeraj Upadhyay1, Costanza Giannì1, Carlo Pozzilli1, Patrizia Pantano1.
Abstract
Purpose To prospectively investigate, by using resting-state functional magnetic resonance (MR) imaging, cerebellar dentate nuclei (DNs) functional connectivity abnormalities in multiple sclerosis (MS) to explore their impact on balance impairment in patients with MS, considering the role of DNs and their projections in maintaining balance, posture, and muscle tone, Materials and Methods All subjects provided written informed consent, and the protocol was approved by the university institutional review board. Twenty-five patients with relapsing-remitting MS and 20 healthy control subjects underwent a 3-T resting-state functional MR imaging and static posturography. The seed-based method was applied to identify the cerebellar DNs resting-state network; first-level and high-level analyses were performed by using software tools. Results Compared with control subjects, patients had worse postural stability and altered patterns of cerebellar DNs connectivity network, with decreased connectivity in caudate nuclei and thalami and increased connectivity in the cerebellum, pons, left amygdala, and orbitofrontal cortices (cluster level, family-wise error corrected, P < .05, z threshold > 2.3). In patients, the decreased connectivity in the left caudate nucleus was related with worse balance performance (cluster level, family-wise error corrected P < .05, z threshold > 1.96) regardless of age, lesion burden, and global clinical disability. Conclusion These results reveal abnormalities of corticocerebellar circuit connectivity in patients with MS as compared with control subjects and suggest that the decreased connectivity between the DN and the left caudate nucleus could play a role in balance impairment in MS. © RSNA, 2017.Entities:
Mesh:
Year: 2017 PMID: 29272214 DOI: 10.1148/radiol.2017170311
Source DB: PubMed Journal: Radiology ISSN: 0033-8419 Impact factor: 11.105