Journal of neuroimmunology · 2025
Wearable-based physiological monitoring and brain magnetic resonance imaging metrics in multiple sclerosis: A feasibility study.
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Miyazaki Yusei, Yokote Hiroaki, Fujimori Juichi, Sakurai Kenzo, Hagiwara Akifumi, Fujino Satoshi, Fukami Toshikazu, Takahashi Eri, Miyagishi Mai, Uwatoko Megumi, Sugimura Yoko, Amino Itaru, Akimoto Sachiko, Izumi Keisuke, Minato Kazumichi, Minami Naoya, Niino Masaaki
Аннотация
BACKGROUND: Multiple sclerosis (MS) is a chronic inflammatory disease of the central nervous system (CNS). Physiological monitoring may be useful for monitoring the progression of MS and its underlying neurodegenerative processes OBJECTIVE: This cross-sectional study evaluated the feasibility of assessing associations of physiological parameters measured by a wearable sensor with CNS atrophy and lesion burden in individuals with MS.
METHODS: Thirty MS patients (relapsing-remitting [n = 23], secondary progressive [n = 5], primary progressive [n = 2]) were monitored using a wrist-worn sensor (Fitbit inspire 3) for up to 30 days, and 29 physiological parameters were obtained. Global and regional brain volumes, T2 lesion volume (T2LV), and C2/3 cervical spinal cord cross-sectional area (C2/3 CSA) were analyzed based on brain MRI. Associations between sensor-derived parameters and neuroimaging measures were assessed using correlation analyses adjusted for age and gender RESULTS: The proportion of deep sleep was associated with T2LV (partial spearman's ρ [ρpartial] = -0.46, 95 % confidence interval [-0.74, -0.04]) and C2/3 CSA (ρpartial = 0.59 [0.32, 0.76]). The coefficient of variation of RR intervals during sleep was associated with normalized brain volume (ρpartial = 0.41 [0.00, 0.74]). The minimum (ρpartial = -0.44 [-0.72, -0.04]) and range of heart rate (ρpartial = 0.41 [0.08, 0.68]) during daytime, step counts (ρpartial = 0.64 [0.40, 0.82]), and total metabolic equivalents (ρpartial = 0.54 [0.18, 0.79]) were associated with C2/3 CSA CONCLUSION: The findings suggest the feasibility of using wearable sensors to detect physiological parameters reflective of neuropathology in patients with MS.
METHODS: Thirty MS patients (relapsing-remitting [n = 23], secondary progressive [n = 5], primary progressive [n = 2]) were monitored using a wrist-worn sensor (Fitbit inspire 3) for up to 30 days, and 29 physiological parameters were obtained. Global and regional brain volumes, T2 lesion volume (T2LV), and C2/3 cervical spinal cord cross-sectional area (C2/3 CSA) were analyzed based on brain MRI. Associations between sensor-derived parameters and neuroimaging measures were assessed using correlation analyses adjusted for age and gender RESULTS: The proportion of deep sleep was associated with T2LV (partial spearman's ρ [ρpartial] = -0.46, 95 % confidence interval [-0.74, -0.04]) and C2/3 CSA (ρpartial = 0.59 [0.32, 0.76]). The coefficient of variation of RR intervals during sleep was associated with normalized brain volume (ρpartial = 0.41 [0.00, 0.74]). The minimum (ρpartial = -0.44 [-0.72, -0.04]) and range of heart rate (ρpartial = 0.41 [0.08, 0.68]) during daytime, step counts (ρpartial = 0.64 [0.40, 0.82]), and total metabolic equivalents (ρpartial = 0.54 [0.18, 0.79]) were associated with C2/3 CSA CONCLUSION: The findings suggest the feasibility of using wearable sensors to detect physiological parameters reflective of neuropathology in patients with MS.