Distributional representation for resting-state functional brain connectivity analysis

Jiating Zhu, Jiannong Cao

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

Abstract

Most analyses on functional brain connectivity across a group of brains are under the assumption that the positions of the voxels are aligned into a common space. However, the alignment errors are inevitable. To address such issue, a distributional representation for resting-state functional brain connectivity is proposed here. Unlike other relevant connectivity analyses that only consider connections with higher correlation values between voxels, the distributional approach takes the whole picture. The spatial structure of connectivity is captured by the distance between voxels so that the relative position information is preserved. The distributional representation can be visualized to find outliers in a large dataset. The centroid of a group of brains is discovered. The experimental results show that resting-state brains are distributed on the ‘orbit’ around their categorical centroid. In contrast to the main-stream representation such as selected network properties for disease classification, the proposed representation is task-free, which provides a promising foundation for further analysis on functional brain connectivity in various ends.

Original languageEnglish
Title of host publicationBrain Informatics - International Conference, BI 2018, Proceedings
EditorsYang Yang, Vicky Yamamoto, Shouyi Wang, Erick Jones, Jianzhong Su, Tom Mitchell, Leon Iasemidis
PublisherSpringer-Verlag
Pages205-215
Number of pages11
ISBN (Print)9783030055868
DOIs
Publication statusPublished - 1 Jan 2018
EventInternational Conference on Brain Informatics, BI 2018 - Arlington, United States
Duration: 7 Dec 20189 Dec 2018

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume11309 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

ConferenceInternational Conference on Brain Informatics, BI 2018
Country/TerritoryUnited States
CityArlington
Period7/12/189/12/18

Keywords

  • Categorical centroid
  • Distributional representation
  • Functional brain connectivity
  • Outliers visualization

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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