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Lookup NU author(s): Professor John-Paul TaylorORCiD
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© 2023 Elsevier B.V.Previous studies suggest that there may be important links between functional connectivity, disease mechanisms underpinning the Dementia with Lewy Body (DLB) and the key clinical symptoms, but the exact relationship remains unclear. We performed a systematic literature review to address this gap by summarising the research findings while critically considering the impact of methodological differences on findings. The main methodological choices of fMRI articles included data-driven, seed-based or regions of interest approaches, or their combinations. Most studies focused on examining large-scale resting-state networks, which revealed a consistent decrease in connectivity and some associations with non-cognitive symptoms. Although the inter-network connectivity showed mixed results, the main finding is consistent with theories positing disconnection between visual and attentional areas of the brain implicated in the aetiology of psychotic symptoms in the DLB. The primary methodological choice of EEG studies was implementing the phase lag index and using graph theory. The EEG studies revealed a consistent decrease in connectivity on alpha and beta frequency bands. While the overall trend of findings showed decreased connectivity, more subtle changes in the directionality of connectivity were observed when using a hypothesis-driven approach. Problems with cognition were also linked with greater functional connectivity disturbances. In summary, connectivity measures can capture brain disturbances in the DLB and remain crucial in uncovering the causal relationship between the networks’ disorganisation and underlying mechanisms resulting in psychotic, motor, and cognitive symptoms of the DLB.
Author(s): Kucikova L, Kalabizadeh H, Motsi KG, Rashid S, O'Brien JT, Taylor J-P, Su L
Publication type: Review
Publication status: Published
Journal: Ageing Research Reviews
Year: 2024
Volume: 93
Print publication date: 01/01/2017
Online publication date: 05/12/2023
Acceptance date: 01/12/2023
ISSN (print): 1568-1637
ISSN (electronic): 1872-9649
Publisher: Elsevier Ireland Ltd
URL: https://doi.org/10.1016/j.arr.2023.102159
DOI: 10.1016/j.arr.2023.102159
PubMed id: 38056505