Spiral analysis in Niemann-Pick disease type C.
Spiral analysis is a computerized method of analyzing upper limb motor physiology through the quantification of spiral drawing. The objective of this study was to determine whether spirals drawn by patients with Niemann-Pick disease type C (NPC) could be distinguished from those of controls, and to physiologically characterize movement abnormalities in NPC. Spiral data consisting of position, pressure, and time were collected from 14 NPC patients and 14 age-matched controls, and were analyzed by the Mann-Whitney U test. NPC spirals were characterized by: lower speed (2.67 vs. 9.56 cm/s, P < 0.001) and acceleration (0.10 vs. 2.04 cm/s(2), P < 0.001), higher loop width variability (0.88 vs. 0.28, P < 0.001), tremor (5/10 vs. 0/10 trials in the dominant hand, P < 0.001), and poor overall spiral rating (2.53 vs. 0.70, P < 0.005). NPC spirals also exhibited sustained drawing pressure profiles that were abnormally invariant with time. Other features, such as the tightness of loop widths, were normal. Our findings reveal that differing aspects of tremor, Parkinsonism, ataxia, and dystonia are quantifiable in NPC patients.
Hsu
Annie W
AW
Department of Neurology, Clinical Motor Physiology Laboratory, Columbia University Medical Center, New York, New York, USA.
Piboolnurak
Panida A
PA
Floyd
Alicia G
AG
Yu
Qiping P
QP
Wraith
James E
JE
Patterson
Marc C
MC
Pullman
Seth L
SL
D000293:Adolescent; D000328:Adult; D016022:Case-Control Studies; D004576:Electromyography / Q000379:methods; D005260:Female; D006801:Humans; D008297:Male; D009068:Movement / Q000502:physiology*; D052556:Niemann-Pick Disease, Type C / Q000473:pathology* / Q000503:physiopathology*; D009716:Numerical Analysis, Computer-Assisted; D018709:Statistics, Nonparametric; D034941:Upper Extremity / Q000503:physiopathology*; D055815:Young Adult