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Peer-reviewedCC BY 4.0CNS Spectrums

Qualitative clock-drawing errors across dementia etiologies and mild cognitive impairment: a clinically interpretable six-class framework

5 affiliations
  1. 1Department of Neurology, Medical College Kolkata, Kolkata, India
  2. 2Department of Neurology, 12 de Octubre University Hospital, Madrid, Spain
  3. 3Group of Neurodegenerative Diseases, Hospital Universitario 12 de Octubre Research Institute (imas12), Madrid, Spain
  4. 4Network Center for Biomedical Research in Neurodegenerative Diseases (CIBERNED), Madrid, Spain
  5. 5Department of Medicine, Faculty of Medicine, Complutense University of Madrid, Madrid, Spain

Abstract

Objective: To characterize qualitative Clock Drawing Test (CDT) error profiles across dementia etiologies and mild cognitive impairment (MCI), and to propose a clinically interpretable six-class framework.

Methods: In a hospital-based study in Kolkata, India, consecutive adults with cognitive impairment completed a free-drawn “ten past ten” CDT. Errors were coded using classical qualitative categories and clock components (face, numbers, hands), then collapsed into six classes: conceptual, stimulus-bound/perseveration, spatial, planning, number-related, and graphic-conceptual. For nonexclusive domains, omnibus Pearson χ² tests summarized error distributions across diagnoses; Cramér’s V quantified effect size.

Results: Participants included Alzheimer’s disease (AD; n = 36), vascular dementia (VaD; n = 16), behavioral variant frontotemporal dementia (bvFTD; n = 9), MCI (n = 19), and other conditions (n = 22). Although 50.0% drew a normal clock face, only 11.8% achieved perfect numbering and 12.7% set the hands correctly. Conceptual errors were most frequent (70.6%), followed by spatial errors (47.1%); neglect and counterclockwise numbering were rare (3.9% each). Error distributions differed by diagnosis for face, numbers, and hands (all p < 0.001; V = 0.4–0.5). The six-class scheme retained a significant distributional association with diagnosis (χ² = 43.365, p = 0.002; V = 0.3): bvFTD showed prominent conceptual and graphic-conceptual failures, AD combined conceptual and spatial errors, MCI emphasized spatial and number-related errors, and VaD was heterogeneous.

Conclusions: Qualitative CDT profiles vary meaningfully across cognitive disorders. This concise six-class framework captures clinically salient patterns, especially in severely degraded drawings, and may complement brief memory screening and digital CDT metrics.

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BibTeX
@article{banik2026qualitative,
  title = {{Qualitative clock-drawing errors across dementia etiologies and mild cognitive impairment: a clinically interpretable six-class framework}},
  author = {Ankur Banik and Sandip Pal and Asutosh Pal and Moukoli Pal and Indranil Dutta and Dilip Roy and Amrit Chattopadhyay and Julian Benito-Leon},
  journal = {CNS Spectrums},
  year = {2026},
  month = jun,
  doi = {10.1017/s1092852926101072},
  url = {https://doi.org/10.1017/s1092852926101072},
  note = {CC BY 4.0},
}
RIS
TY  - JOUR
TI  - Qualitative clock-drawing errors across dementia etiologies and mild cognitive impairment: a clinically interpretable six-class framework
AU  - Ankur Banik
AU  - Sandip Pal
AU  - Asutosh Pal
AU  - Moukoli Pal
AU  - Indranil Dutta
AU  - Dilip Roy
AU  - Amrit Chattopadhyay
AU  - Julian Benito-Leon
PY  - 2026
DA  - 2026/06/18
JO  - CNS Spectrums
DO  - 10.1017/s1092852926101072
UR  - https://doi.org/10.1017/s1092852926101072
AB  - Objective: To characterize qualitative Clock Drawing Test (CDT) error profiles across dementia etiologies and mild cognitive impairment (MCI), and to propose a clinically interpretable six-class framework.  Methods: In a hospital-based study in Kolkata, India, consecutive adults with cognitive impairment completed a free-drawn “ten past ten” CDT. Errors were coded using classical qualitative categories and clock components (face, numbers, hands), then collapsed into six classes: conceptual, stimulus-bound/perseveration, spatial, planning, number-related, and graphic-conceptual. For nonexclusive domains, omnibus Pearson χ² tests summarized error distributions across diagnoses; Cramér’s V quantified effect size.  Results: Participants included Alzheimer’s disease (AD; n = 36), vascular dementia (VaD; n = 16), behavioral variant frontotemporal dementia (bvFTD; n = 9), MCI (n = 19), and other conditions (n = 22). Although 50.0% drew a normal clock face, only 11.8% achieved perfect numbering and 12.7% set the hands correctly. Conceptual errors were most frequent (70.6%), followed by spatial errors (47.1%); neglect and counterclockwise numbering were rare (3.9% each). Error distributions differed by diagnosis for face, numbers, and hands (all p < 0.001; V = 0.4–0.5). The six-class scheme retained a significant distributional association with diagnosis (χ² = 43.365, p = 0.002; V = 0.3): bvFTD showed prominent conceptual and graphic-conceptual failures, AD combined conceptual and spatial errors, MCI emphasized spatial and number-related errors, and VaD was heterogeneous.  Conclusions: Qualitative CDT profiles vary meaningfully across cognitive disorders. This concise six-class framework captures clinically salient patterns, especially in severely degraded drawings, and may complement brief memory screening and digital CDT metrics.
SN  - 1092-8529
SN  - 2165-6509
ER  -