Literature DB >> 10928573

The Bradykinesia Akinesia Incoordination Test (BRAIN TEST), an objective and user-friendly means to evaluate patients with parkinsonism.

C N Homann1, K Suppan, K Wenzel, G Giovannoni, G Ivanic, S Horner, E Ott, H P Hartung.   

Abstract

The BRAIN TEST, a computerized alternating finger tapping test, was performed on 154 patients with parkinsonism to assess whether the test could be used as an objective tool to evaluate reliably the severity of Parkinson's disease (PD). Patients were instructed to tap two marked computer keyboard keys as fast and as accurately as possible for 60 seconds. The test generates the following variables: (1) kinesia score (KS)--number of keystrokes/min, (2) akinesia time (AT)--cumulative time that keys are depressed, (3) dysmetria score (DS)--a weighted score generated from incorrectly hit keys and corrected for speed, and (4) arrhythmia score (AS)--variance of the time interval between individual keystrokes. Among parkinsonian patients, we found a significant correlation between the four test parameters and PD rating scores of the Hoehn & Yahr, Schwab & England, and Unified PD Rating Scales (KS, AS, and AT p <0.001 and DS p <0.05). When compared with 73 parkinsonian patients 73 age- and sex-matched control subjects showed significantly higher KS and lower AT (p <0.001) as well as lower DS and AS (p = 0.05). The BRAIN TEST is a reliable and practical tool for evaluating the severity of parkinsonism and for distinguishing subjects with parkinsonism from normal control subjects. A version of the BRAIN TEST is available by FTP on the worldwide web (http://www.anaesthetist.com/software/brain.htm).

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Year:  2000        PMID: 10928573     DOI: 10.1002/1531-8257(200007)15:4<641::aid-mds1007>3.0.co;2-2

Source DB:  PubMed          Journal:  Mov Disord        ISSN: 0885-3185            Impact factor:   10.338


  14 in total

1.  Quantification of bradykinesia during clinical finger taps using a gyrosensor in patients with Parkinson's disease.

Authors:  Ji-Won Kim; Jae-Ho Lee; Yuri Kwon; Chul-Seung Kim; Gwang-Moon Eom; Seong-Beom Koh; Do-Young Kwon; Kun-Woo Park
Journal:  Med Biol Eng Comput       Date:  2010-10-30       Impact factor: 2.602

2.  Improved efficacy of temporally non-regular deep brain stimulation in Parkinson's disease.

Authors:  David T Brocker; Brandon D Swan; Dennis A Turner; Robert E Gross; Stephen B Tatter; Mandy Miller Koop; Helen Bronte-Stewart; Warren M Grill
Journal:  Exp Neurol       Date:  2012-09-27       Impact factor: 5.330

3.  Dyskinesia and the antiparkinsonian response always temporally coincide: a retrospective study.

Authors:  John G Nutt; Kathy A Chung; Nicholas H G Holford
Journal:  Neurology       Date:  2010-03-10       Impact factor: 9.910

4.  Optimized temporal pattern of brain stimulation designed by computational evolution.

Authors:  David T Brocker; Brandon D Swan; Rosa Q So; Dennis A Turner; Robert E Gross; Warren M Grill
Journal:  Sci Transl Med       Date:  2017-01-04       Impact factor: 17.956

5.  Sensitivity and specificity of the finger tapping task for the detection of psychogenic movement disorders.

Authors:  Susan Criswell; Callen Sterling; Laura Swisher; Brad Evanoff; Brad A Racette
Journal:  Parkinsonism Relat Disord       Date:  2009-12-14       Impact factor: 4.891

6.  Effects of a dopamine agonist on the pharmacodynamics of levodopa in Parkinson disease.

Authors:  Matthew A Brodsky; Byung S Park; John G Nutt
Journal:  Arch Neurol       Date:  2010-01

7.  Supervised versus unsupervised technology-based levodopa monitoring in Parkinson's disease: an intrasubject comparison.

Authors:  Giovanna Lopane; Sabato Mellone; Mattia Corzani; Lorenzo Chiari; Pietro Cortelli; Giovanna Calandra-Buonaura; Manuela Contin
Journal:  J Neurol       Date:  2018-03-29       Impact factor: 4.849

8.  Pharmacodynamics of a low subacute levodopa dose helps distinguish between multiple system atrophy with predominant Parkinsonism and Parkinson's disease.

Authors:  Giovanna Calandra-Buonaura; Andrea Doria; Giovanna Lopane; Pietro Guaraldi; Sabina Capellari; Paolo Martinelli; Pietro Cortelli; Manuela Contin
Journal:  J Neurol       Date:  2015-11-14       Impact factor: 4.849

9.  Semi-automated approaches to optimize deep brain stimulation parameters in Parkinson's disease.

Authors:  Kenneth H Louie; Matthew N Petrucci; Logan L Grado; Chiahao Lu; Paul J Tuite; Andrew G Lamperski; Colum D MacKinnon; Scott E Cooper; Theoden I Netoff
Journal:  J Neuroeng Rehabil       Date:  2021-05-21       Impact factor: 4.262

10.  Optical Hand Tracking: A Novel Technique for the Assessment of Bradykinesia in Parkinson's Disease.

Authors:  Paulina J M Bank; Johan Marinus; Carel G M Meskers; Jurriaan H de Groot; Jacobus J van Hilten
Journal:  Mov Disord Clin Pract       Date:  2017-09-13
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