Alzheimer’s Disease Diagnosis via Specific-Shared Representation Learning in Multimodal Neuroimaging

Mingxia Wang, Yun Yang, Jun Qi, Fengtao Nan, Shunbao Li, Po Yang*

*Corresponding author for this work

Research output: Chapter in Book or Report/Conference proceedingConference Proceedingpeer-review

Abstract

Mild cognitive impairment (MCI) is a potential prodromal state of Alzheimer’s disease (AD), an irreversible progressive neurodegenerative disease. Early diagnosis and intervention of AD are crucial. Recent studies have shown that deep learning methods exhibit excellent performance in predicting AD from multimodal neuroimaging. However, previous studies tend to focus on one aspect of the analysis of intra-modal information or inter-modal shared information, while ignoring the integration of the two. To solve this problem, this paper proposes a fusion network that combines modality-specific representations with shared representations between modalities to assist AD diagnosis. The network first extracts modality-specific representations from each modality data, then introduces a modality shared representation extraction network to supplement modality shared information, and finally performs modality representation fusion and performs AD prediction. In addition, in order to reduce the interference of non-disease-related regions between modalities on shared information, the network combines the shallow representation extracted by the single-modal network to guide the extraction process of shared representation. Combining these representations can provide a comprehensive view of multimodal data, thereby more accurately assisting in AD prediction tasks. The experimental results of this article on the Alzheimer’s Disease Neuroimaging Initiative (ADNI) database prove the effectiveness and excellent performance of this model in assisting in the diagnosis of AD.

Original languageEnglish
Title of host publicationAdvanced Intelligent Computing in Bioinformatics - 20th International Conference, ICIC 2024, Proceedings
EditorsDe-Shuang Huang, Qinhu Zhang, Jiayang Guo
PublisherSpringer Science and Business Media Deutschland GmbH
Pages3-14
Number of pages12
ISBN (Print)9789819756889
DOIs
Publication statusPublished - 2024
Event20th International Conference on Intelligent Computing , ICIC 2024 - Tianjin, China
Duration: 5 Aug 20248 Aug 2024

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume14881 LNBI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference20th International Conference on Intelligent Computing , ICIC 2024
Country/TerritoryChina
CityTianjin
Period5/08/248/08/24

Keywords

  • Alzheimer’s Disease Diagnosis
  • Multimodal Neuroimaging
  • Multimodal Representation Learning

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