Abstract / Description of output
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 language | English |
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Title of host publication | Proceedings of the 2019 41st Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC) (EMBC 2019) |
Publisher | Institute of Electrical and Electronics Engineers |
Pages | 3884-3887 |
Number of pages | 4 |
ISBN (Electronic) | 978-1-5386-1311-5 |
DOIs | |
Publication status | Published - Jul 2019 |
Event | 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society - City Cube Berlin, Berlin, Germany Duration: 23 Jul 2019 → 27 Jul 2019 |
Conference
Conference | 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society |
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Abbreviated title | EMBC'19 |
Country/Territory | Germany |
City | Berlin |
Period | 23/07/19 → 27/07/19 |