Distortion errors characterise visuo-constructive performance in Huntington's disease

Angelica Di Cecca1, Ciro Rosario Ilardi1, Flavio Della Pia2

  • 1Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS) SYNLAB SDN, S.R.L., Naples, Italy.

PubMed

Insights

Qualitative analysis reveals distinct drawing errors in Huntington's disease (HD) and Alzheimer's disease (AD). Distortions characterize HD, while simplifications appear in AD, aiding differential diagnosis.

Area of Science:

  • Neuroscience
  • Cognitive Psychology
  • Neurology

Background:

  • Visuospatial deficits are common in Huntington's disease (HD), yet visuo-constructive abilities remain under-explored.
  • Quantitative studies show similar performance deficits in HD and Alzheimer's disease (AD) on visuo-constructive tasks.
  • A qualitative approach may differentiate cognitive profiles in neurodegenerative conditions.

Purpose of the Study:

  • To qualitatively investigate visuo-constructive abilities in individuals with HD and AD.
  • To identify distinct patterns of drawing errors specific to HD and AD.
  • To assess the utility of qualitative analysis in understanding neurocognitive deficits.

Main Methods:

  • Retrospective analysis of 41 individuals with HD, 25 with AD, and 35 healthy controls (HC).
  • Neuropsychological assessment using the Constructional Apraxia Test (CAT) and Rey-Osterrieth Complex Figure (ROCF).
  • Qualitative analysis of drawing errors, focusing on patterns and types of mistakes.

Main Results:

  • No significant quantitative performance differences were found between HD and AD groups.
  • Distinct qualitative error patterns emerged: distortions were characteristic of HD, while simplifications were more frequent in AD.
  • These qualitative differences were consistent across both CAT and ROCF tasks.

Conclusions:

  • Qualitative analysis provides valuable insights into visuo-constructive performance beyond quantitative scores.
  • Distinct error patterns in drawing tasks can help differentiate between HD and AD.
  • This approach enhances understanding of cognitive processes affected by neurodegenerative diseases.