Cooperative and Competitive Functional Connectivity Based on Improved Ising Model

dc.contributor.authorWei, Gengqian
dc.contributor.authorLiang, Chuang
dc.contributor.authorAdali, Tulay
dc.contributor.authorJiang, Rongtao
dc.contributor.authorZhang, Daoqiang
dc.contributor.authorCalhoun, Vince D.
dc.contributor.authorQi, Shile
dc.date.accessioned2025-04-23T20:31:13Z
dc.date.available2025-04-23T20:31:13Z
dc.date.issued2025-04
dc.description ICASSP 2025 - 2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
dc.description.abstractAs a highly interconnected complex network system, the brain exhibits changes in interactions due to common brain disorders. Studying changes in brain network interactions can help us quantitatively analyze functional network patterns and changes in these patterns that are linked to brain disorders. However, relationships between brain regions estimated by most current approaches use a single connectivity that does not fully reflect multiple interactions. Here, we propose a novel functional connectivity (FC) construction method, which can estimate both cooperative and competitive (C-C) relationships between the same regions of interest (ROIs) through improved Ising model. We redefine the Ising dynamic equation to represent pairwise interactions from single to C-C relationships. Results show that the estimated C-C connectivities are normally distributed, with intra-subjects’ (n=970) similarity being consistently and significantly higher than inter-subjects’ similarity across datasets. C-C FCs between occipital, parietal, temporal cortex and the limbic system of schizophrenia (SZ, n=178) are more competitive, while healthy control (HC, n=219) tends to be more cooperative. Group differences in C-C patterns between SZ and HC show significant differences in frontal, parietal and occipital regions. The proposed C-C approach provide new insights into the brain dysfunction in SZ, which can also be applied to investigate other brain disorders.
dc.description.sponsorshipThis work was supported by the Natural Science Foundation of Jiangsu Province, China (BK20220889), the National Natural Science Foundation of China (62376124), the Key Research and Development Plan of Jiangsu Province, China (BE2023668), the National Institutes of Health (R01MH123610) and the National Science Foundation (2112455).
dc.description.urihttps://ieeexplore.ieee.org/abstract/document/10889211/
dc.format.extent5 pages
dc.genreconference papers and proceedings
dc.identifierdoi:10.13016/m2t5zb-frhl
dc.identifier.citationWei, Gengqian, Chuang Liang, Tülay Adali, Rongtao Jiang, Daoqiang Zhang, Vince D. Calhoun, and Shile Qi. “Cooperative and Competitive Functional Connectivity Based on Improved Ising Model.” ICASSP 2025 - 2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), April 2025, 1–5. https://doi.org/10.1109/ICASSP49660.2025.10889211.
dc.identifier.urihttps://doi.org/10.1109/ICASSP49660.2025.10889211
dc.identifier.urihttp://hdl.handle.net/11603/38029
dc.language.isoen_US
dc.publisherIEEE
dc.relation.isAvailableAtThe University of Maryland, Baltimore County (UMBC)
dc.relation.ispartofUMBC Computer Science and Electrical Engineering Department
dc.relation.ispartofUMBC Faculty Collection
dc.rightsThis item is likely protected under Title 17 of the U.S. Copyright Law. Unless on a Creative Commons license, for uses protected by Copyright Law, contact the copyright holder or the author.
dc.subjectReliability
dc.subjectComplex networks
dc.subjectLimbic system
dc.subjectSignal processing
dc.subjectBrain modeling
dc.subjectSchizophrenia
dc.subjectcooperation and competition
dc.subjectMathematical models
dc.subjectUMBC Ebiquity Research Group
dc.subjectfunctional connectivity
dc.subjectSpeech processing
dc.subjectIsing model
dc.subjectAcoustics
dc.subjectbrain network
dc.subjectschizophrenia
dc.titleCooperative and Competitive Functional Connectivity Based on Improved Ising Model
dc.typeText
dcterms.creatorhttps://orcid.org/0000-0003-0594-2796

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