A Neuroimaging Feature Extraction Model for Imaging Genetics with Application to Alzheimer's Disease

Chunfei Li; Chen Fang; Malek Adjouadi; Mercedes Cabrerizo; Armando Barreto; Jean Andrian; Ranjan Duara; David Loewenstein

doi:10.1109/BIBE.2017.00-85

A Neuroimaging Feature Extraction Model for Imaging Genetics with Application to Alzheimer's Disease

Chunfei Li, Chen Fang, Malek Adjouadi, Mercedes Cabrerizo, Armando Barreto, Jean Andrian, Ranjan Duara, David Loewenstein

Psychiatry & Behavioral Sciences

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

3 Scopus citations

Abstract

Neuroimaging is an important research platform that can be very useful for eliciting new understanding on the complicated pathogenesis between genetics and disease phenotypes. Due to the extremely high dimensionality of image and genetic data, and considering the potential joint effect of genetic variants, multivariate techniques have been examined to detect Alzheimers disease (AD) related genetic variants expressed through single-nucleotide polymorphisms (SNPs). However, the image features used in support of those methods are not immediately related to the disease, and the detected genetic markers may not be related to AD. In this study, we propose an ensemble model based framework for firstly extracting 50 region-based image features whose values are predicted by base learners trained on raw neuroimaging morphological variables. This task is followed by performing sparse Partial Least Squares regression (sPLS) method on the extracted 50 AD related image features and pre-selected 1508 SNPs to detect the significant SNPs associated with the extracted image features. Instead of modeling a direct link between genetic variants and disease label, we captured disease information indirectly.

Original language	English (US)
Title of host publication	Proceedings - 2017 IEEE 17th International Conference on Bioinformatics and Bioengineering, BIBE 2017
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	15-20
Number of pages	6
ISBN (Electronic)	9781538613245
DOIs	https://doi.org/10.1109/BIBE.2017.00-85
State	Published - Jul 1 2017
Event	17th IEEE International Conference on Bioinformatics and Bioengineering, BIBE 2017 - Herndon, United States Duration: Oct 23 2017 → Oct 25 2017

Publication series

Name	Proceedings - 2017 IEEE 17th International Conference on Bioinformatics and Bioengineering, BIBE 2017
Volume	2018-January

Other

Other	17th IEEE International Conference on Bioinformatics and Bioengineering, BIBE 2017
Country	United States
City	Herndon
Period	10/23/17 → 10/25/17

Keywords

Alzheimers disease
Genome-wide association studies
feature extraction
genetics
neuroimaging
sparse partial least squares regression

ASJC Scopus subject areas

Signal Processing
Information Systems
Biomedical Engineering
Modeling and Simulation
Health Informatics

Access to Document

10.1109/BIBE.2017.00-85

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Cite this

Li, C., Fang, C., Adjouadi, M., Cabrerizo, M., Barreto, A., Andrian, J., Duara, R., & Loewenstein, D. (2017). A Neuroimaging Feature Extraction Model for Imaging Genetics with Application to Alzheimer's Disease. In Proceedings - 2017 IEEE 17th International Conference on Bioinformatics and Bioengineering, BIBE 2017 (pp. 15-20). (Proceedings - 2017 IEEE 17th International Conference on Bioinformatics and Bioengineering, BIBE 2017; Vol. 2018-January). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/BIBE.2017.00-85

A Neuroimaging Feature Extraction Model for Imaging Genetics with Application to Alzheimer's Disease. / Li, Chunfei; Fang, Chen; Adjouadi, Malek; Cabrerizo, Mercedes; Barreto, Armando; Andrian, Jean; Duara, Ranjan; Loewenstein, David.

Proceedings - 2017 IEEE 17th International Conference on Bioinformatics and Bioengineering, BIBE 2017. Institute of Electrical and Electronics Engineers Inc., 2017. p. 15-20 (Proceedings - 2017 IEEE 17th International Conference on Bioinformatics and Bioengineering, BIBE 2017; Vol. 2018-January).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Li, C, Fang, C, Adjouadi, M, Cabrerizo, M, Barreto, A, Andrian, J, Duara, R & Loewenstein, D 2017, A Neuroimaging Feature Extraction Model for Imaging Genetics with Application to Alzheimer's Disease. in Proceedings - 2017 IEEE 17th International Conference on Bioinformatics and Bioengineering, BIBE 2017. Proceedings - 2017 IEEE 17th International Conference on Bioinformatics and Bioengineering, BIBE 2017, vol. 2018-January, Institute of Electrical and Electronics Engineers Inc., pp. 15-20, 17th IEEE International Conference on Bioinformatics and Bioengineering, BIBE 2017, Herndon, United States, 10/23/17. https://doi.org/10.1109/BIBE.2017.00-85

Li C, Fang C, Adjouadi M, Cabrerizo M, Barreto A, Andrian J et al. A Neuroimaging Feature Extraction Model for Imaging Genetics with Application to Alzheimer's Disease. In Proceedings - 2017 IEEE 17th International Conference on Bioinformatics and Bioengineering, BIBE 2017. Institute of Electrical and Electronics Engineers Inc. 2017. p. 15-20. (Proceedings - 2017 IEEE 17th International Conference on Bioinformatics and Bioengineering, BIBE 2017). https://doi.org/10.1109/BIBE.2017.00-85

Li, Chunfei ; Fang, Chen ; Adjouadi, Malek ; Cabrerizo, Mercedes ; Barreto, Armando ; Andrian, Jean ; Duara, Ranjan ; Loewenstein, David. / A Neuroimaging Feature Extraction Model for Imaging Genetics with Application to Alzheimer's Disease. Proceedings - 2017 IEEE 17th International Conference on Bioinformatics and Bioengineering, BIBE 2017. Institute of Electrical and Electronics Engineers Inc., 2017. pp. 15-20 (Proceedings - 2017 IEEE 17th International Conference on Bioinformatics and Bioengineering, BIBE 2017).

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