Exploring the Brain Information Processing Mechanisms from Functional Connectivity to Translational Applications

Kuai, Hongzhi and Chen, Jianhui and Tao, Xiaohui ORCID: https://orcid.org/0000-0002-0020-077X and Imamura, Kazuyuki and Liang, Peipeng and Zhong, Ning (2021) Exploring the Brain Information Processing Mechanisms from Functional Connectivity to Translational Applications. In: 14th International Conference on Brain Informatics (BI 2021), 17 Sept - 19 Sept 2021, Online.


Abstract

Exploring information processing mechanisms in the human brain is of significant importance to the development of artificial intelligence and translational study. In particular, essential functions of the brain, ranging from perception to thinking, are studied, with the evolution of analytical strategies from a single aspect such as a single cognitive function or experiment to the increasing demands on the multi-aspect integration. Here we introduce a systematic approach to realize an integrated understanding of the brain mechanisms with respect to cognitive functions and brain activity patterns. Our approach is driven by a conceptual brain model, performs systematic experimental design and evidential type inference that are further integrated into the method of evidence combination and fusion computing, and realizes never-ending learning. It allows comparisons among various mechanisms on a specific brain-related disease by means of machine learning. We evaluate its ability from the brain functional connectivity perspective, which has become an analytical tool for exploring information processing of connected nodes between different functional interacting brain regions, and for revealing hidden relationships that link connectivity abnormalities to mental disorders. Results show that the potential relationships on clinical signs–cognitive functions–brain activity patterns have important implications for both cognitive assessment and personalized rehabilitation.


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Item Type: Conference or Workshop Item (Commonwealth Reporting Category E) (Paper)
Refereed: Yes
Item Status: Live Archive
Additional Information: Files associated with this item cannot be displayed due to copyright restrictions.
Faculty/School / Institute/Centre: Historic - Faculty of Health, Engineering and Sciences - School of Sciences (6 Sep 2019 - 31 Dec 2021)
Faculty/School / Institute/Centre: Historic - Faculty of Health, Engineering and Sciences - School of Sciences (6 Sep 2019 - 31 Dec 2021)
Date Deposited: 11 May 2022 04:53
Last Modified: 30 May 2022 04:05
Uncontrolled Keywords: Brain informatics; Cognitive neuroscience; Functional connectivity; Translational study
Fields of Research (2008): 08 Information and Computing Sciences > 0801 Artificial Intelligence and Image Processing > 080109 Pattern Recognition and Data Mining
06 Biological Sciences > 0601 Biochemistry and Cell Biology > 060102 Bioinformatics
Fields of Research (2020): 46 INFORMATION AND COMPUTING SCIENCES > 4605 Data management and data science > 460501 Data engineering and data science
46 INFORMATION AND COMPUTING SCIENCES > 4608 Human-centred computing > 460899 Human-centred computing not elsewhere classified
46 INFORMATION AND COMPUTING SCIENCES > 4603 Computer vision and multimedia computation > 460308 Pattern recognition
Socio-Economic Objectives (2008): E Expanding Knowledge > 97 Expanding Knowledge > 970108 Expanding Knowledge in the Information and Computing Sciences
E Expanding Knowledge > 97 Expanding Knowledge > 970117 Expanding Knowledge in Psychology and Cognitive Sciences
Socio-Economic Objectives (2020): 28 EXPANDING KNOWLEDGE > 2801 Expanding knowledge > 280115 Expanding knowledge in the information and computing sciences
22 INFORMATION AND COMMUNICATION SERVICES > 2204 Information systems, technologies and services > 220403 Artificial intelligence
Identification Number or DOI: https://doi.org/10.1007/978-3-030-86993-9_10
URI: http://eprints.usq.edu.au/id/eprint/46210

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