Visual hallucinations in dementia with Lewy bodies originate from necrosis of characteristic neurons and connections in three-module perception model.


Journal

Scientific reports
ISSN: 2045-2322
Titre abrégé: Sci Rep
Pays: England
ID NLM: 101563288

Informations de publication

Date de publication:
19 08 2022
Historique:
received: 29 07 2021
accepted: 09 08 2022
entrez: 19 8 2022
pubmed: 20 8 2022
medline: 24 8 2022
Statut: epublish

Résumé

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.

Identifiants

pubmed: 35986200
doi: 10.1038/s41598-022-18313-6
pii: 10.1038/s41598-022-18313-6
pmc: PMC9391481
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

14172

Informations de copyright

© 2022. The Author(s).

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Auteurs

Shigetoshi Nara (S)

Graduate School of Natural Science & Technology, Okayama University, Okayama, 700-8530, Japan. nara@ec.okayama-u.ac.jp.

Hiroshi Fujii (H)

Faculty of Information Science and Engineering, Kyoto Sangyo University, Kyoto, 603-8555, Japan.

Hiromichi Tsukada (H)

Center for Mathematical Science and Artificial Intelligence/Chubu University Academy of Emerging Sciences, Chubu University, Aichi, 487-8501, Japan.

Ichiro Tsuda (I)

Chubu University Academy of Emerging Sciences/Center for Mathematical Science and Artificial Intelligence, Chubu University, Aichi, 487-8501, Japan.

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