Journal: Annals of Clinical and Translational Neurology

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Abbreviation

Ann Clin Transl Neurol

Publisher

Wiley

Journal Volumes

ISSN

2328-9503

Description

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Publications1 - 2 of 2
  • Haenzi, Sara; Stefanics, Gábor; Lanaras, Tatjana; et al. (2014)
    Annals of Clinical and Translational Neurology
    Plastic interactions between face and hand cortical tactile circuits occur after severe injuries that affect the hand such as in amputation or spinal cord injury. However, whether loss of facial movements alters the cortical circuits involved in processing tactile inputs from the hand remains unknown. In this prospective observational study we used electroencephalography (EEG) to measure cortical activity evoked by tactile stimulation of the hands before and after botulinum toxin-A-induced facial paralysis. We found a reduction in the tactile event-related potentials (ERPs) 6 weeks after the treatment. This suggests that the limited paralysis of facial muscles induced during cosmetic interventions designed to smooth lines and wrinkles on the face is sufficient to alter the cortical processing of tactile inputs from the hand.
  • Kanzler, Christoph; Lessard, Isabelle; Gassert, Roger; et al. (2022)
    Annals of Clinical and Translational Neurology
    Objectives: Autosomal recessive spastic ataxia of Charlevoix-Saguenay (ARSACS) is the second most frequent recessive ataxia and commonly features reduced upper limb coordination. Sensitive outcome measures of upper limb coordination are essential to track disease progression and the effect of interventions. However, available clinical assessments are insufficient to capture behavioral variability and detailed aspects of motor control. While digital health metrics extracted from technology-aided assessments promise more fine-grained outcome measures, these have not been validated in ARSACS. Thus, the aim was to document the metrological properties of metrics from a technology-aided assessment of arm and hand function in ARSACS. Methods: We relied on the Virtual Peg Insertion Test (VPIT) and used a previously established core set of 10 digital health metrics describing upper limb movement and grip force patterns during a pick-and-place task. We evaluated reliability, measurement error, and learning effects in 23 participants with ARSACS performing three repeated assessment sessions. In addition, we documented concurrent validity in 57 participants with ARSACS performing one session. Results: Eight metrics had excellent test-retest reliability (intraclass correlation coefficient 0.89 +/- 0.08), five low measurement error (smallest real difference % 25.4 +/- 5.7), and none strong learning effects (systematic change eta -0.11 +/- 2.5). Significant correlations (rho 0.39 +/- 0.13) with clinical scales describing gross and fine dexterity and lower limb coordination were observed. Interpretation: This establishes eight digital health metrics as valid and robust endpoints for cross-sectional studies and five metrics as potentially sensitive endpoints for longitudinal studies in ARSACS, thereby promising novel insights into upper limb sensorimotor control.
Publications1 - 2 of 2