Regional MRI measures and neuropsychological test for multi-dimensional analysis in Alzheimer's disease

Q. Zhou, M. Goryawala, M. Cabrerizo, J. Wang, W. Barker, R. Duara, M. Adjouadi

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

Abstract

Regional brain atrophy is a typical structural symptom of Alzheimer's disease (AD). Magnetic resonance imaging (MRI) scans capture brain structure with high resolution and are often processed with automated segmentation and parcellation algorithm (e.g. Freesurfer) to generate regional measures, like cortical volume, cortical thickness and surface area, which are widely used as inputs in classification algorithms. This study aims to find out which combination of MRI measures and neuropsychological test coupled with different normalization techniques can best predict AD using a proposed multivariate feature selection and classification method. A total of 189 subjects with 60 Alzheimer's disease (AD) and 129 cognitively normal (CN) are included in this study. Freesurfer was used to obtain 34 cortical thickness measures and 35 surface area measures for each hemisphere and 55 regional volumes across the brain. Statistically significant variables selected for each model were used to construct the multi-dimensional space for further classification using a support vector machine (SVM) classifier. Different normalization approaches were explored to gauge if the classification performance could be improved. Results indicate neuropsychological test score contains the most discriminative information among single measure models, and out of the three MRI measures, cortical volume is a better predicator than the other two. Normalization approaches are seen not to enhance the performance much if any. Hierarchical model of neuropsychological test and cortical volumes without normalization yield the best classification accuracy for this study.

Original languageEnglish (US)
Title of host publication2013 6th International IEEE EMBS Conference on Neural Engineering, NER 2013
Pages533-536
Number of pages4
DOIs
StatePublished - Dec 1 2013
Event2013 6th International IEEE EMBS Conference on Neural Engineering, NER 2013 - San Diego, CA, United States
Duration: Nov 6 2013Nov 8 2013

Publication series

NameInternational IEEE/EMBS Conference on Neural Engineering, NER
ISSN (Print)1948-3546
ISSN (Electronic)1948-3554

Other

Other2013 6th International IEEE EMBS Conference on Neural Engineering, NER 2013
CountryUnited States
CitySan Diego, CA
Period11/6/1311/8/13

ASJC Scopus subject areas

  • Artificial Intelligence
  • Mechanical Engineering

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    Zhou, Q., Goryawala, M., Cabrerizo, M., Wang, J., Barker, W., Duara, R., & Adjouadi, M. (2013). Regional MRI measures and neuropsychological test for multi-dimensional analysis in Alzheimer's disease. In 2013 6th International IEEE EMBS Conference on Neural Engineering, NER 2013 (pp. 533-536). [6695989] (International IEEE/EMBS Conference on Neural Engineering, NER). https://doi.org/10.1109/NER.2013.6695989