Correlation Engine 2.0
Clear Search sequence regions


  • algorithms (1)
  • antipsychotics (1)
  • aucs (1)
  • behavior (1)
  • behavior disorder (2)
  • brain (1)
  • case (1)
  • clinic visits (1)
  • cognition (8)
  • cohort (7)
  • Conv (1)
  • data file (1)
  • diagnosis (1)
  • episodes over (1)
  • ESS 8 (1)
  • falls (3)
  • finger (2)
  • fog (64)
  • foot (7)
  • foot length (7)
  • gold (1)
  • hamilton (2)
  • help (6)
  • learn (1)
  • levodopa (28)
  • lower limb (1)
  • mao inhibitor (1)
  • motor function (4)
  • motor symptom (1)
  • movement (6)
  • NP 2 (1)
  • NP 3 (1)
  • parkinson (7)
  • parkinson disease (16)
  • patient (16)
  • patient sex (1)
  • period (5)
  • phenotypes (1)
  • plans (1)
  • probability (1)
  • psychosis (1)
  • random (11)
  • rapid (1)
  • rem sleep (2)
  • research (3)
  • scale (15)
  • sex (4)
  • signal (1)
  • spouses (1)
  • step length (1)
  • studies designs (1)
  • study follow- up (1)
  • suggests (6)
  • thalamus (1)
  • time death (1)
  • upper limb (2)
  • walk (1)
  • wilcoxon rank- tests (2)
  • Sizes of these terms reflect their relevance to your search.

    Freezing of gait (FOG) is a debilitating, variably expressed motor symptom in people with Parkinson's disease (PwPD) with limited treatments. To determine if the rate of progression in spatiotemporal gait parameters in people converting from a noFOG to a FOG phenotype (FOGConv) was faster than non-convertors, and determine if gait parameters can help predict this conversion. PwPD were objectively monitored longitudinally, approximately every 6 months. Non-motor assessments were performed at the initial visit. Steady-state gait in the levodopa ON-state was collected using a gait mat (Protokinetics) at each visit. The rate of progression in 8 spatiotemporal gait parameters was calculated. FOG convertors (FOGConv) were classified if they did not have FOG at initial visit and developed FOG at a subsequent visit. Thirty freezers (FOG) and 30 non-freezers were monitored an average of 3.5 years, with 10 non-freezers developing FOG (FOGConv). FOGConv and FOG had faster decline in mean stride-length, swing-phase-percent, and increase in mean total-double-support percent, coefficient of variability (CV) foot-strike-length and CV swing-phase-percent than the remaining non-freezers (noFOG). On univariate modeling, progression rates of mean stride-length, stride-velocity, swing-phase-percent, total-double-support-percent and of CV swing-phase-percent had high discriminative power (AUC > 0.83) for classification of the FOGConv and noFOG groups. FOGConv had a faster temporal decline in objectively quantified gait than noFOG, and progression rates of spatiotemporal gait parameters were more predictive of FOG phenotype conversion than initial (static) parameters Objectively monitoring gait in disease prediction models may help define FOG prone groups for testing putative treatments.

    Citation

    Tuhin Virmani, Reid D Landes, Lakshmi Pillai, Aliyah Glover, Linda Larson-Prior, Fred Prior, Stewart A Factor. Gait Declines Differentially in, and Improves Prediction of, People with Parkinson's Disease Converting to a Freezing of Gait Phenotype. Journal of Parkinson's disease. 2023 Sep 08;13(6):961-973

    Expand section icon Mesh Tags

    Expand section icon Substances


    PMID: 37522218

    View Full Text