Identification of Relevant Diffusion MRI Metrics Impacting Cognitive Functions Using a Novel Feature Selection Method

Tongda Xu, Xiyan Cai, Yao Wang, Xiuyuan Wang, Sohae Chung, Els Fieremans, Joseph Rath, Steven Flanagan, Yvonne W. Lui

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

Abstract

Mild Traumatic Brain Injury (mTBI) is a significant public health problem. The most troubling symptoms after mTBI are cognitive complaints. Studies show measurable differences between patients with mTBI and healthy controls with respect to tissue microstructure using diffusion MRI. However, it remains unclear which diffusion measures are the most informative with regard to cognitive functions in both the healthy state as well as after injury. In this study, we use diffusion MRI to formulate a predictive model for performance on working memory based on the most relevant MRI features. As exhaustive search is impractical, the key challenge is to identify relevant features over a large feature space with high accuracy within reasonable time-frame. To tackle this challenge, we propose a novel improvement of the best first search approach with crossover operators inspired by genetic algorithm. Compared against other heuristic feature selection algorithms, the proposed method achieves significantly more accurate predictions and yields clinically interpretable selected features (improvement of r2 in 8 of 9 cohorts and up to 0.08).

Original languageEnglish (US)
Title of host publication2019 IEEE Signal Processing in Medicine and Biology Symposium, SPMB 2019 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781728143439
DOIs
StatePublished - Dec 2019
Event2019 IEEE Signal Processing in Medicine and Biology Symposium, SPMB 2019 - Philadelphia, United States
Duration: Dec 7 2019 → …

Publication series

Name2019 IEEE Signal Processing in Medicine and Biology Symposium, SPMB 2019 - Proceedings

Conference

Conference2019 IEEE Signal Processing in Medicine and Biology Symposium, SPMB 2019
CountryUnited States
CityPhiladelphia
Period12/7/19 → …

ASJC Scopus subject areas

  • Signal Processing
  • Health Informatics

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