Lifestyle management and brain MRI metrics in female Australian adults living with multiple sclerosis: a feasibility and acceptability study

• Published in: Pilot and feasibility studies Vol. 10; no. 1; p. 71
• Main Authors: Wills, Olivia, Wright, Brooklyn, Greenwood, Lisa-Marie, Solowij, Nadia, Schira, Mark, Maller, Jerome J, Gupta, Alok, Magnussen, John, Probst, Yasmine
• Format: Journal Article
• Language: English
• Published: England BioMed Central Ltd 02.05.2024; BioMed Central; BMC
• Subjects: Adults; Australians; Comorbidity; Development and progression; Diet; Disability; Exercise; Information management; Lifestyle; Magnetic resonance imaging; Magnetic resonance imaging (MRI); Multiple sclerosis; Multiple sclerosis (MS); Prognosis; Australia; Disability; Magnetic resonance imaging (MRI); Lifestyle; Diet; Multiple sclerosis (MS)
• ISSN: 2055-5784; 2055-5784
• DOI: 10.1186/s40814-024-01495-3

Limited studies of multiple sclerosis (MS) exist whereby magnetic resonance imaging (MRI) of the brain with consistent imaging protocols occurs at the same time points as collection of healthy lifestyle measures. The aim of this study was to test the feasibility, acceptability and preliminary efficacy of acquiring MRI data as an objective, diagnostic and prognostic marker of MS, at the same time point as brain-healthy lifestyle measures including diet. Participants living with relapsing remitting MS partook in one structural MRI scanning session of the brain, completed two online 24-hour dietary recalls and demographic and self-reported lifestyle questionnaires (e.g. self-reported disability, comorbidities, physical activity, smoking status, body mass index (BMI), stress). Measures of central tenancy and level of dispersion were calculated for feasibility and acceptability of the research protocols. Lesion count was determined by one radiologist and volumetric analyses by a data analysis pipeline based on FreeSurfer software suite. Correlations between white matter lesion count, whole brain volume analyses and lifestyle measures were assessed using Spearman's rank-order correlation coefficient. Thirteen female participants were included in the study: eligibility rate 90.6% (29/32), recruitment rate 46.9% (15/32) and compliance rate 87% (13/15). The mean time to complete all required tasks, including MRI acquisition was 115.86 minutes ± 23.04), over 4 days. Conversion to usual dietary intake was limited by the small sample. There was one strong, negative correlation between BMI and brain volume (r  = -0.643, p = 0.018) and one strong, positive correlation between physical activity and brain volume (r  = 0.670, p = 0.012) that were both statistically significant. Acquiring MRI brain scans at the same time point as lifestyle profiles in adults with MS is both feasible and accepted among adult females living with MS. Quantification of volumetric MRI data support further investigations using semi-automated pipelines among people living with MS, with pre-processing steps identified to increase automated feasibility. This protocol may be used to determine relationships between elements of a brain-healthy lifestyle, including dietary intake, and measures of disease burden and brain health, as assessed by T1-weighted and T2-weighted lesion count and whole brain volume, in an adequately powered sample. The study protocol was retrospectively registered in the Australia New Zealand Clinical Trials Registry (ACTRN12624000296538).