Predicting the diagnosis of dementia from MRI data: Added value to cognitive tests

Tetiana Habuza, Nazar Zaki, Yauhen Statsenko, Fady Alnajjar, Sanaa Elyassami

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

Neuroimaging data may reflect the mental status of both cognitively preserved individuals and patients with neurodegenerative diseases. To find the relationship between cognitive performance and the difference between predicted and observed functional test results, we developed a Convolutional Neural Network (CNN) based regression model to estimate the level of cognitive decline from preprocessed T1-weighted MRI images. In this study, we considered the Predicted Cognitive Gap (PCG) as the measure to accurately segregate Cognitively Normal (CN) versus Alzheimer disease (AD) subjects. The proposed model was tested on a dataset that includes 422 CN and 377 AD cases. The performance of the proposed solution was measured using Receiver Operating Characteristic (ROC) Area Under the Curve (AUC) and achieved 0.987 (ADAS-cog), 0.978 (MMSE), 0.898 (RAVLT), 0.848 (TMT), 0.829 (DSST) for averaged brain images; and 0.985 (ADAS-cog), 0.987 (MMSE), 0.901 (RAVLT), 0.8474 (TMT), 0.796 (DSST) for middle slice skull stripped brain images. The results achieved indicate that PCG can accurately separate healthy subjects from demented ones. The structure of the brain contributes to the level of human cognition and their functional abilities. Proposed PCG may aid in diagnostics of dementia.

Original languageEnglish
Title of host publicationProceedings of the 7th International Conference on Arab Women in Computing, ArabWIC 2021
PublisherAssociation for Computing Machinery
ISBN (Electronic)9781450384186
DOIs
Publication statusPublished - Aug 25 2021
Event7th International Conference on Arab Women in Computing, ArabWIC 2021 - Virtual, Online, United Arab Emirates
Duration: Aug 25 2021 → …

Publication series

NameACM International Conference Proceeding Series

Conference

Conference7th International Conference on Arab Women in Computing, ArabWIC 2021
Country/TerritoryUnited Arab Emirates
CityVirtual, Online
Period8/25/21 → …

Keywords

  • Aging
  • Alzheimer's disease
  • Cognitive decline
  • Convolutional Neural Network
  • Dementia
  • Predicted Cognitive Gap marker

ASJC Scopus subject areas

  • Software
  • Human-Computer Interaction
  • Computer Vision and Pattern Recognition
  • Computer Networks and Communications

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