Cognitive profiling of Parkinson disease patients with mild cognitive impairment and dementia

Roberta Biundo, Luca Weis, Silvia Facchini, Patrizia Formento-Dojot, Annamaria Vallelunga, Manuela Pilleri, Angelo Antonini

Research output: Contribution to journalArticlepeer-review


Background: Prevalence of mild cognitive impairment (MCI) and dementia in Parkinson disease (PD) is variable because different classification criteria are applied and there is lack of consensus about neuropsychological tests and cut-off used for cognitive profiling. Given the important therapeutic consequences for patient management, we aimed at identifying suitable diagnostic cognitive tests and respective screening cut-off values for MCI and dementia in PD (PDD). Methods: We evaluated 105 PD patients using an extensive neuropsychological battery categorized as PD without cognitive impairment (PD-CNT) (35%), PD-MCI (47%) and PDD (18%) based on established criteria and calculated Receiver Operating Characteristic (ROC) curves. Results: We found different sensitivity and specificity among neuropsychological tests in detecting PD-MCI and PDD. In particular performance in attention/set shifting, verbal memory and language abilities, discriminated both PD-MCI and PDD from PD-CNT. Abilities involved mainly in semantic retrieval mechanisms discriminated PD-CNT from PD-MCI but also PD-MCI from PDD. Finally deficits in executive and visual-spatial abilities were only affected in PDD. Conclusion: Our data point to an independent and different load of each test in defining different PD cognitive statuses. These findings can help selection of appropriate cognitive batteries in longitudinal studies and definition of stage-specific therapeutic targets.

Original languageEnglish
Pages (from-to)394-399
Number of pages6
JournalParkinsonism and Related Disorders
Issue number4
Publication statusPublished - 2014


  • Cognitive tests
  • Cut-off score
  • Dementia
  • Mild cognitive impairment
  • Neuropsychology
  • Parkinson disease

ASJC Scopus subject areas

  • Geriatrics and Gerontology
  • Clinical Neurology
  • Neurology
  • Medicine(all)


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