title: Utility of the NeuroTrax computerized battery for cognitive screening in Parkinson's disease: comparison with the MMSE and the MoCA.
abstract: To determine the utility of a computerized assessment in Parkinson's disease (PD), we compared the cognitive performance of 50 PD patients on the NeuroTrax computerized battery relative to the mini-mental state examination (MMSE) and the Montreal Cognitive Assessment (MoCA). The results revealed fair agreement between impairment on the NeuroTrax and the MMSE (kappa=.291, p=.031) but only slight agreement between the NeuroTrax and the MoCA (kappa=.138, p = .054) and between the MoCA and the MMSE (kappa = .168, p = .069). The NeuroTrax identified 52% of the sample as average or above, 40% as below average, and 8% as impaired. The MoCA identified 54% of the sample as impaired (28% average or above and 18% below average), while the MMSE identified 66% as average or above (20% below average and 14% impaired). Several stepwise regressions revealed that executive and verbal functions were the best predictors of cognitive functioning on the NeuroTrax, while memory recall, serial sevens, naming, and abstraction were the best predictors on the MoCA. These results suggest that although the NeuroTrax may be useful in identifying executive cognitive deficits in PD, similar to the MMSE the NeuroTrax may lack optimal sensitivity. While the MoCA is sensitive, it may be too stringent in overclassifying PD patients as impaired.
authors.affiliation: Landon Center on Aging, University of Kansas Medical Center, Kansas City, KS 66160, USA. bhpladdy@kumc.edu
authors.forename: B
authors.initials: B
authors.lastname: Hanna-Pladdy
authors.forename: A
authors.initials: A
authors.lastname: Enslein
authors.forename: M
authors.initials: M
authors.lastname: Fray
authors.forename: B J
authors.initials: BJ
authors.lastname: Gajewski
authors.forename: R
authors.initials: R
authors.lastname: Pahwa
authors.forename: K E
authors.initials: KE
authors.lastname: Lyons
mesh_terms: D000328:Adult; D000367:Age Factors; D000368:Aged; D000369:Aged, 80 and over; D003072:Cognition Disorders / Q000175:diagnosis* / Q000209:etiology*; D003936:Diagnosis, Computer-Assisted / Q000379:methods*; D005260:Female; D006801:Humans; D008297:Male; D008609:Mental Status Schedule; D008875:Middle Aged; D009483:Neuropsychological Tests; D010300:Parkinson Disease / Q000150:complications*; D011237:Predictive Value of Tests; D011594:Psychometrics; D013223:Statistics as Topic