title: Psychogenic tremor disorders identified using tree-based statistical algorithms and quantitative tremor analysis.
abstract: Detecting psychogenic tremors (PsychT) is often challenging. As there are no laboratory investigations or imaging techniques that can confirm the diagnosis, PsychT is identified on a clinical basis. We present a tree-based statistical algorithm derived from quantitative computerized tremor recordings as a novel method to help in the recognition of PsychT. The goal of this study was to show that objective data from computerized tremor recordings, when processed through a tree-based statistical algorithm, can be used to determine whether a patient can be classified as having PsychT.
authors.affiliation: Department of Neurology, Clinical Motor Physiology Laboratory, Columbia University Medical Center, New York, New York, USA.
authors.forename: Panida
authors.initials: P
authors.lastname: Piboolnurak
authors.forename: Natalia
authors.initials: N
authors.lastname: Rothey
authors.forename: Anwar
authors.initials: A
authors.lastname: Ahmed
authors.forename: Blair
authors.initials: B
authors.lastname: Ford
authors.forename: Qiping
authors.initials: Q
authors.lastname: Yu
authors.forename: Dong
authors.initials: D
authors.lastname: Xu
authors.forename: Seth L
authors.initials: SL
authors.lastname: Pullman
mesh_terms: D000328:Adult; D000368:Aged; D000369:Aged, 80 and over; D000465:Algorithms; D003937:Diagnosis, Differential; D004576:Electromyography / Q000379:methods; D005260:Female; D006801:Humans; D007700:Kinetics; D008297:Male; D008875:Middle Aged; D015233:Models, Statistical; D009460:Neurologic Examination; D011237:Predictive Value of Tests; D011602:Psychophysiologic Disorders / Q000175:diagnosis*; D012680:Sensitivity and Specificity; D012815:Signal Processing, Computer-Assisted; D014202:Tremor / Q000145:classification / Q000175:diagnosis* / Q000503:physiopathology