Bimanual Gesture Imitation in Alzheimer's Disease

J Alzheimers Dis. 2017;57(1):53-59. doi: 10.3233/JAD-160680.

Abstract

Background/objective: Unimanual gesture production or imitation has often been studied in Alzheimer's disease (AD) during apraxia testing. In the present study, it was hypothesized that bimanual motor tasks may be a sensitive method to detect impairments of motor cognition in AD due to increased demands on the cognitive system.

Methods: We investigated bimanual, meaningless gesture imitation in 45 AD outpatients, 38 subjects with mild cognitive impairment (MCI), and 50 normal controls (NC) attending a memory clinic. Participants performed neuropsychological background testing and three tasks: the Interlocking Finger Test (ILF), Imitation of Alternating Hand Movements (AHM), and Bimanual Rhythm Tapping (BRT).

Results: The tasks were short and easy to administer. Inter-rater reliability was high across all three tests. AD patients performed significantly poorer than NC and MCI participants; a deficit to imitate bimanual gestures was rarely found in MCI and NC participants. Sensitivity to detect AD ranged from 0.5 and 0.7, specificity beyond 0.9. ROC analyses revealed good diagnostic accuracy (0.77 to 0.92). Impairment to imitate bimanual gestures was mainly predicted by diagnosis and disease severity.

Conclusion: Our findings suggest that an impairment to imitate bimanual, meaningless gestures is a valid disease marker of mild to moderate AD and can easily be assessed in memory clinic settings. Based on our preliminary findings, it appears to be a separate impairment which can be distinguished from other cognitive deficits.

Keywords: Alzheimer’s disease; Bimanual gesture imitation.

MeSH terms

  • Aged
  • Alzheimer Disease* / physiopathology
  • Alzheimer Disease* / psychology
  • Cognitive Dysfunction* / physiopathology
  • Cognitive Dysfunction* / psychology
  • Female
  • Gestures*
  • Hand* / physiopathology
  • Humans
  • Imitative Behavior*
  • Male
  • Motor Skills
  • Neuropsychological Tests
  • ROC Curve
  • Regression Analysis
  • Reproducibility of Results
  • Severity of Illness Index