Preliminary fusion of EEG and MRI with phenotypic scores in children with epilepsy based on the Canonical Polyadic Decomposition

Noramon Dron, Eli Kinney-lang, Richard Chin, Javier Escudero

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

Abstract

Cognitive and behavioural impairments in early-onset epilepsy affect the children and families' quality of life. Our ability to detect these impairments is limited, and it requires laborious questionnaires. Here, we describe a pilot study exploring the fusion of resting-state EEG, volumetric MRI, and phenotypic scores of child development based on the Canonical Polyadic Decomposition, expanding the recently presented Joint EEG-Development Inference (JEDI) model. Pilot data fusion was performed on functional, structural and developmental brain features of 29 preschool children diagnosed with epilepsy. The results suggest that combining multimodal brain data towards a comprehensive analysis of brain development in young children is plausible.
Original languageEnglish
Title of host publicationProceedings of the 2019 41st Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC) (EMBC 2019)
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages3884-3887
Number of pages4
ISBN (Electronic)978-1-5386-1311-5
DOIs
Publication statusPublished - Jul 2019
Event41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society - City Cube Berlin, Berlin, Germany
Duration: 23 Jul 201927 Jul 2019

Conference

Conference41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society
Abbreviated titleEMBC'19
Country/TerritoryGermany
CityBerlin
Period23/07/1927/07/19

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