Preliminary Reliability and Validity of SynapTrack, a Smartphone-Based Digital Biomarker Platform for Remote Assessment of Cervical Spondylotic Myelopathy
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Background and Objectives
Cervical spondylotic myelopathy (CSM) is a leading cause of neurological disability in older adults. However, validated, scalable tools to quantify disease severity and changes over time are lacking. Recent advances in smartphone technology have opened new avenues for longitudinal, objective, and remote monitoring of neurological conditions. We performed a preliminary evaluation of the reliability and validity of SynapTrack, a smartphone-based digital platform for objective remote CSM assessments.
Methods
In this single-center prospective cohort study, 251 participants (151 with CSM, 100 healthy controls) completed in-person SynapTrack assessments related to tapping, pinching, and vibratory detection, along with reference laboratory measures of dexterity (Box and Block Test, 9-Hole Peg Test) and vibratory sensation (tuning fork). A subset completed repeated home-based testing to assess test-retest reliability. We evaluated convergent validity, construct validity against the modified Japanese Orthopedic Association (mJOA) score, known-groups validity, and test-retest reliability (intraclass correlation coefficient, ICC).
Results
Smartphone-derived metrics demonstrated good-to-excellent test-retest reliability, with the strongest stability for vibratory detection threshold (ICC = 0.92), overall and non-dominant tapping speed (ICC = 0.90 each), and pinching successful targets (ICC = 0.90). Convergent validity was supported by moderate-to-strong correlations between digital metrics and reference laboratory dexterity tests (ρ up to 0.60 for tapping speed; up to −0.65 for the vibratory threshold). Construct validity against the mJOA was strongest for the vibratory threshold (ρ = −0.53 to −0.54) and Level 2 non-dominant pinching errors (ρ = −0.45). Selected metrics distinguished CSM patients from controls with good discrimination, including non-dominant tapping speed (AUROC = 0.76, 95% CI 0.68–0.85), Level 2 dominant pinching successful targets (AUROC = 0.78, 95% CI 0.62–0.94), and the non-dominant vibratory threshold (AUROC = 0.77, 95% CI 0.64–0.90).
Conclusions and Relevance
A smartphone-based battery of upper-extremity sensorimotor tasks demonstrated preliminary reliability and validity in CSM. Furthermore, to our knowledge, the novel vibratory detection task represents the first smartphone-based sensory assessment used for CSM. Collectively, these findings position SynapTrack as a scalable platform for objective, remote neurological monitoring of CSM.
