Πέμπτη 17 Αυγούστου 2017

O3-7-17. Detection of Resting state network activity using eLORETA-ICA in Dementia with Lewy Bodies

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Publication date: September 2017
Source:Clinical Neurophysiology, Volume 128, Issue 9
Author(s): Yasunori Aoki, Hiroaki Kazui, Roberto D. Pascual-Marqui, Ryouhei Ishii, Kenji Yoshiyama, Hideki Kanemoto, Yukiko Suzuki, Shunsuke Sato, Shunichiro Ikeda, Masahiro Hata, Masao Iwase
Dementia with Lewy bodies (DLB) is the second most common type of dementia and characterized by progressive cognitive decline, fluctuating cognition, visual hallucinations and Parkinsonism. However, pathophysiological mechanism of these symptoms remain poorly understood. In this study, using exact low resolution brain electromagnetic tomography-independent component analysis (eLORETA-ICA), we assessed activities of five electroencephalography-resting state networks (EEG-RSNs) in 49 DLB patients who were not administered acetylcholinesterase inhibitors. The results were that DLB patients had significantly decreased activities in the occipital visual network and memory perception network, and significantly enhanced activities in the visual perception network and self-referential network compared to 80 healthy controls. Furthermore, we found correlations between these network activities and DLB symptoms. In particular, enhanced visual perception network activity correlated with severe delusions. Enhanced self-referential network activity correlated with worse working memory. Decreased memory perception network activity correlated with worse semantic memory. In addition, sensorimotor network activity correlated with milder delusions, aberrant motor behavior and fluctuating cognition as well as with more severe Parkinsonism. These results indicate that eLORETA-ICA can sensitively detect EEG-RSN activity changes in DLB related to symptoms. Therefore, eLORETA-ICA with EEG data will be a powerful tool for understanding of neurophysiological mechanisms underlying this disease.



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