このエントリーをはてなブックマークに追加


ID 63890
フルテキストURL
fulltext.pdf 2.75 MB
著者
Nara, Shigetoshi Graduate School of Natural Science & Technology, Okayama University Kaken ID publons researchmap
Fujii, Hiroshi Faculty of Information Science and Engineering, Kyoto Sangyo University
Tsukada, Hiromichi Center for Mathematical Science and Artifcial Intelligence/Chubu University Academy of Emerging Sciences, Chubu University
Tsuda, Ichiro Chubu University Academy of Emerging Sciences/Center for Mathematical Science and Artifcial Intelligence, Chubu University
抄録
Mathematical and computational approaches were used to investigate dementia with Lewy bodies (DLB), in which recurrent complex visual hallucinations (RCVH) is a very characteristic symptom. Beginning with interpretative analyses of pathological symptoms of patients with RCVH-DLB in comparison with the veridical perceptions of normal subjects, we constructed a three-module scenario concerning function giving rise to perception. The three modules were the visual input module, the memory module, and the perceiving module. Each module interacts with the others, and veridical perceptions were regarded as a certain convergence to one of the perceiving attractors sustained by self-consistent collective fields among the modules. Once a rather large but inhomogeneously distributed area of necrotic neurons and dysfunctional synaptic connections developed due to network disease, causing irreversible damage, then bottom-up information from the input module to both the memory and perceiving modules were severely impaired. These changes made the collective fields unstable and caused transient emergence of mismatched perceiving attractors. This may account for the reason why DLB patients see things that are not there. With the use of our computational model and experiments, the scenario was recreated with complex bifurcation phenomena associated with the destabilization of collective field dynamics in very high-dimensional state space.
発行日
2022-08-19
出版物タイトル
Scientific Reports
12巻
1号
出版者
Nature Portfolio
開始ページ
14172
ISSN
2045-2322
資料タイプ
学術雑誌論文
言語
英語
OAI-PMH Set
岡山大学
著作権者
© The Author(s) 2022
論文のバージョン
publisher
PubMed ID
DOI
Web of Science KeyUT
関連URL
isVersionOf https://doi.org/10.1038/s41598-022-18313-6
ライセンス
http://creativecommons.org/licenses/by/4.0/