OBJECTIVE: To examine whether behavioral and electrophysiological measures of motor performance accurately differentiate Parkinson's disease (PD) and essential tremor (ET). METHODS: Twenty-four patients (12 PD; 12 ET) performed isometric force, ballistic movements, and tremor tasks. Receiver operating characteristic (ROC) analyses were conducted on all dependent measures that were significantly different between the two patient groups. RESULTS: Patients with PD were more impaired on measures of movement deceleration than ET. Patients with ET were more impaired on measures of force variability than PD. ROC analyses revealed that sensitivity and specificity were excellent when combining measures during the isometric force task (torque rise time and force variability; 92% sensitivity and 92% specificity; AUC = 0.97). When combining measures across the force and movement tasks, the ROC analysis revealed improved sensitivity and specificity (force variability and peak deceleration; 92% sensitivity and 100% specificity; AUC = 0.99). CONCLUSIONS: Combining measures of force variability and movement deceleration accurately differentiate patients with PD from those with ET with high sensitivity and specificity. SIGNIFICANCE: If validated in a larger sample, these measures can serve as markers to confirm the diagnosis of PD or ET and thus, enhance decision making for appropriate treatments for patients with these respective diseases.
OBJECTIVE: To examine whether behavioral and electrophysiological measures of motor performance accurately differentiate Parkinson's disease (PD) and essential tremor (ET). METHODS: Twenty-four patients (12 PD; 12 ET) performed isometric force, ballistic movements, and tremor tasks. Receiver operating characteristic (ROC) analyses were conducted on all dependent measures that were significantly different between the two patient groups. RESULTS:Patients with PD were more impaired on measures of movement deceleration than ET. Patients with ET were more impaired on measures of force variability than PD. ROC analyses revealed that sensitivity and specificity were excellent when combining measures during the isometric force task (torque rise time and force variability; 92% sensitivity and 92% specificity; AUC = 0.97). When combining measures across the force and movement tasks, the ROC analysis revealed improved sensitivity and specificity (force variability and peak deceleration; 92% sensitivity and 100% specificity; AUC = 0.99). CONCLUSIONS: Combining measures of force variability and movement deceleration accurately differentiate patients with PD from those with ET with high sensitivity and specificity. SIGNIFICANCE: If validated in a larger sample, these measures can serve as markers to confirm the diagnosis of PD or ET and thus, enhance decision making for appropriate treatments for patients with these respective diseases.
Authors: Kristina A Neely; Amanda P Chennavasin; Arie Yoder; Genevieve K R Williams; Eric Loken; Cynthia L Huang-Pollock Journal: Exp Brain Res Date: 2016-07-09 Impact factor: 1.972
Authors: Kristina A Neely; Shaadee Samimy; Samantha L Blouch; Peiyuan Wang; Amanda Chennavasin; Michele T Diaz; Nancy A Dennis Journal: Exp Brain Res Date: 2017-05-16 Impact factor: 1.972
Authors: Kristina A Neely; Ajay S Kurani; Priyank Shukla; Peggy J Planetta; Aparna Wagle Shukla; Jennifer G Goldman; Daniel M Corcos; Michael S Okun; David E Vaillancourt Journal: Cereb Cortex Date: 2014-06-24 Impact factor: 5.357