Deep learning based decomposition of brain networks

Pilsub Lee, Myungwon Choi, Daegyeom Kim, Suji Lee, Hyun Ghang Jeong, Cheol E. Han

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

    2 Citations (Scopus)

    Abstract

    A brain network is the essence of the intelligence where it consists of nodes that are anatomically defined brain regions, and edges that connect a pair of brain regions. The diffusion-weighted magnetic resonance (MR) images and the advances in computer-Aided tractography algorithms let us know strong association between human brain networks and cognitive functions. Brain regions dedicated to a certain specific cognitive function were spatially clustered and efficiently connected each other; it is called local functional segregation. However, it is not well known that such a local segregation is associated with a certain sub-network which may act as a building block of the brain network. In this work, using a graph auto-encoder, we extracted building blocks of brain networks and investigate whether they are affected by a neurological disease, Alzheimer's disease. We found that the brain network of each person is linear summation of the learned building blocks. Also, the activation levels of these building blocks vary in the normal controls and patients with Alzheimer's disease, showing that network deterioration in the disease group.

    Original languageEnglish
    Title of host publication1st International Conference on Artificial Intelligence in Information and Communication, ICAIIC 2019
    PublisherInstitute of Electrical and Electronics Engineers Inc.
    Pages349-354
    Number of pages6
    ISBN (Electronic)9781538678220
    DOIs
    Publication statusPublished - 2019 Mar 18
    Event1st International Conference on Artificial Intelligence in Information and Communication, ICAIIC 2019 - Okinawa, Japan
    Duration: 2019 Feb 112019 Feb 13

    Publication series

    Name1st International Conference on Artificial Intelligence in Information and Communication, ICAIIC 2019

    Conference

    Conference1st International Conference on Artificial Intelligence in Information and Communication, ICAIIC 2019
    Country/TerritoryJapan
    CityOkinawa
    Period19/2/1119/2/13

    Keywords

    • Alzheimer's disease
    • brain networks
    • graph auto-encoder
    • graph convolutional neural network

    ASJC Scopus subject areas

    • Electrical and Electronic Engineering
    • Computer Science Applications
    • Artificial Intelligence

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