Digitized Spiral Drawing: A Possible Biomarker for Early Parkinson’s Disease

Autor: Susan B. Bressman, Cuiling Wang, Rachel Saunders-Pullman, Jeannie Soto-Valencia, Qiping Yu, Richard B. Lipton, Sarah Boschung, Roberto A. Ortega, Marta San Luciano, Seth L. Pullman
Přispěvatelé: Le, Weidong
Rok vydání: 2016
Předmět:
Myoclonus
Male
Handwriting
Aging
Kinematics
Parkinson's disease
Writing
lcsh:Medicine
Hands
02 engineering and technology
Neurodegenerative
Audiology
Pathology and Laboratory Medicine
Biochemistry
0302 clinical medicine
Discriminative model
Medicine and Health Sciences
80 and over
0202 electrical engineering
electronic engineering
information engineering

lcsh:Science
Musculoskeletal System
Spiral
Aged
80 and over

screening and diagnosis
Movement Disorders
Parkinson's Disease
Multidisciplinary
Receiver operating characteristic analysis
Physics
Classical Mechanics
Discriminant Analysis
Neurodegenerative Diseases
Parkinson Disease
Middle Aged
Arms
Detection
Neurology
Area Under Curve
Physical Sciences
Neurological
Biomarker (medicine)
Female
020201 artificial intelligence & image processing
Anatomy
Research Article
Biotechnology
4.2 Evaluation of markers and technologies
Graphics tablet
medicine.medical_specialty
General Science & Technology
and over
Fingers
03 medical and health sciences
Signs and Symptoms
Diagnostic Medicine
Clinical Research
medicine
Humans
In patient
Aged
business.industry
FOS: Clinical medicine
Limbs (Anatomy)
lcsh:R
Mental illness--Diagnosis
Neurosciences
Biology and Life Sciences
Linear discriminant analysis
medicine.disease
Brain Disorders
ROC Curve
Case-Control Studies
Physical therapy
Medical Devices and Equipment
lcsh:Q
sense organs
business
Biomarkers
030217 neurology & neurosurgery
Zdroj: PloS one, vol 11, iss 10
PLoS ONE, Vol 11, Iss 10, p e0162799 (2016)
PLoS ONE
ISSN: 1932-6203
DOI: 10.1371/journal.pone.0162799
Popis: Author(s): San Luciano, Marta; Wang, Cuiling; Ortega, Roberto A; Yu, Qiping; Boschung, Sarah; Soto-Valencia, Jeannie; Bressman, Susan B; Lipton, Richard B; Pullman, Seth; Saunders-Pullman, Rachel | Abstract: IntroductionPre-clinical markers of Parkinson's Disease (PD) are needed, and to be relevant in pre-clinical disease, they should be quantifiably abnormal in early disease as well. Handwriting is impaired early in PD and can be evaluated using computerized analysis of drawn spirals, capturing kinematic, dynamic, and spatial abnormalities and calculating indices that quantify motor performance and disability. Digitized spiral drawing correlates with motor scores and may be more sensitive in detecting early changes than subjective ratings. However, whether changes in spiral drawing are abnormal compared with controls and whether changes are detected in early PD are unknown.Methods138 PD subjects (50 with early PD) and 150 controls drew spirals on a digitizing tablet, generating x, y, z (pressure) data-coordinates and time. Derived indices corresponded to overall spiral execution (severity), shape and kinematic irregularity (second order smoothness, first order zero-crossing), tightness, mean speed and variability of spiral width. Linear mixed effect adjusted models comparing these indices and cross-validation were performed. Receiver operating characteristic analysis was applied to examine discriminative validity of combined indices.ResultsAll indices were significantly different between PD cases and controls, except for zero-crossing. A model using all indices had high discriminative validity (sensitivity = 0.86, specificity = 0.81). Discriminative validity was maintained in patients with early PD.ConclusionSpiral analysis accurately discriminates subjects with PD and early PD from controls supporting a role as a promising quantitative biomarker. Further assessment is needed to determine whether spiral changes are PD specific compared with other disorders and if present in pre-clinical PD.
Databáze: OpenAIRE