Functional alignments in brain connectivity networks
Clark, Ruaridh A and Parra, Mario A and Smith, Keith and Escudero, Javier and Ibañez, Agustín and McGeown, William J and Macdonald, Malcolm (2022) Functional alignments in brain connectivity networks. In: Complex Networks 2022 : The 11th International Conference on Complex Networks and their Applications, 2022-11-08 - 2022-11-10, University of Palermo.
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Abstract
Alzheimer’s disease (AD) is a brain disconnection syndrome, where functional connectivity analysis can detect changes in neural activity in pre-dementia stages [8]. Functional connectivity networks from functional magnetic resonance imaging (fMRI) and electroencephalogram (EEG) are susceptible to signal noise from biologic artefacts (e.g. cardiac artefacts) and environmental sources (e.g. electrical interference). A particular challenge for EEG is volume conduction, whereby a signal from a single source propagates through biological tissue to be detected simultaneously by multiple sensors (channels). The imaginary part of coherency (iCOH) provides a measure for connectivity that avoids this signal contamination, by ignoring correlation between signals with zero or π-phase lag. This removes false instantaneous activity with connectivity denoting synchronised signals at a given time lag, but it does come at the cost of erasing true instantaneous activity. We propose eigenvector alignment (EA) as a method for evaluating pairwise relationships from network eigenvectors; revealing noise robust, structural, insights from functional connectivity networks.
ORCID iDs
Clark, Ruaridh A ORCID: https://orcid.org/0000-0003-4601-2085, Parra, Mario A ORCID: https://orcid.org/0000-0002-2412-648X, Smith, Keith ORCID: https://orcid.org/0000-0002-4615-9020, Escudero, Javier, Ibañez, Agustín, McGeown, William J ORCID: https://orcid.org/0000-0001-7943-5901 and Macdonald, Malcolm ORCID: https://orcid.org/0000-0003-4499-4281;-
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Item type: Conference or Workshop Item(Paper) ID code: 86106 Dates: DateEvent8 November 2022Published11 July 2022AcceptedSubjects: Medicine > Internal medicine > Neuroscience. Biological psychiatry. Neuropsychiatry
Science > Mathematics > Electronic computers. Computer scienceDepartment: Faculty of Science > Computer and Information Sciences
Faculty of Engineering > Electronic and Electrical Engineering
Faculty of Humanities and Social Sciences (HaSS) > Psychological Sciences and Health > Psychology
Strategic Research Themes > Health and WellbeingDepositing user: Pure Administrator Date deposited: 11 Jul 2023 10:10 Last modified: 24 Oct 2024 00:53 URI: https://strathprints.strath.ac.uk/id/eprint/86106