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Title:Metabolic brain networks in dementia with Lewy bodies : from prodromal to manifest disease stages
Authors:ID Perovnik, Matej (Author)
ID Simončič, Urban (Author)
ID Jamšek, Jan (Author)
ID Gregorič Kramberger, Milica (Author)
ID Brumberg, Joachim (Author)
ID Meyer, Philipp Tobias (Author)
ID Perani, Daniela (Author)
ID Trošt, Maja (Author), et al.
Files:.pdf PDF - Presentation file, download (2,56 MB)
MD5: 3E2EAA1C72DDC9A17C7B7EEE3BC2A5AB
 
URL URL - Source URL, visit https://jnnp.bmj.com/content/97/4/316
 
Language:English
Typology:1.01 - Original Scientific Article
Organization:Logo UKC LJ - Ljubljana University Medical Centre
Abstract:Background: Dementia with Lewy bodies (DLB) is the second most common neurodegenerative dementia, yet it remains under-recognised and misdiagnosed, which delays treatment, causes inaccurate prognosis and limits research opportunities. Imaging with 2-[18F]fluoro-2-deoxy-D-glucose positron emission tomography (FDG PET) is a supportive DLB biomarker. We evaluated a multivariate, quantifiable metabolic network biomarker, termed DLB-related pattern (DLBRP), for its further clinical translation across centres and disease stages. Methods: We analysed demographic, clinical and FDG PET imaging data of 1180 participants from 14 tertiary centres and two multicentre datasets. We included 379 DLB, 28 mild cognitive impairment-LB (MCI-LB), 195 dementia due to Alzheimer's disease (ADD), 172 MCI-AD without α-synuclein co-pathology (MCI-AD-S-), and 73 MCI-AD with α-synuclein co-pathology (S+) patients, along with a comparative group of 333 normal controls (NCs). From the scans, we calculated the expression of DLBRP, AD-related pattern (ADRP) and Parkinson's disease-related pattern (PDRP) and compared them across groups. DLBRP scores were correlated with clinical measurements. Results: Across independent cohorts, DLBRP robustly distinguished DLB from NCs (sensitivity >89%, specificity >90%), and scores correlated with Unified Parkinson's Disease Rating Scale Part III and independently predicted Mini-Mental State Examination. DLBRP was elevated already in MCI-LB. In a small longitudinal dataset, we observed steady increases in DLBRP expression with scores exceeding the diagnostic threshold prior to dementia onset. DLBRP and PDRP discriminated DLB from ADD (sensitivity, 74%-90%; specificity, 80%). In MCI-AD groups, ADRP was expressed, whereas DLBRP and PDRP were increased only in MCI-AD-S+, although comparatively less than in MCI-LB. Conclusions: This study demonstrates the value of DLBRP in diagnosing prodromal and manifest DLB and distinguishing them from their AD counterparts. While overlap between patterns may reflect actual co-pathology, this possibility cannot be accepted without thorough pathological confirmation. The current findings support the use of DLBRP in patient evaluation and in future trial design.
Keywords:Alzheimer's disease, Lewy body dementia, FDG PET, functional imaging, mild cognitive impairment
Publication status:Published
Publication version:Version of Record
Year of publishing:2025
Number of pages:str. 316-324
Numbering:Vol. 97, issue 4
PID:20.500.12556/DiRROS-28432 New window
UDC:616.8
ISSN on article:1468-330X
DOI:10.1136/jnnp-2025-336935 New window
COBISS.SI-ID:260578563 New window
Note:Nasl. z nasl. zaslona; Opis z dne 9. 12. 2025;
Publication date in DiRROS:19.03.2026
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Downloads:170
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Record is a part of a journal

Title:Journal of neurology, neurosurgery and psychiatry
Shortened title:eJNNP
Publisher:BMJ Publishing
ISSN:1468-330X
COBISS.SI-ID:3539988 New window

Document is financed by a project

Funder:ARIS - Slovenian Research and Innovation Agency
Project number:P1-0389-2022
Name:Medicinska fizika

Funder:ARIS - Slovenian Research and Innovation Agency
Project number:J3-60059
Name:Diagnostična in prognostična vrednost značilnih presnovnih možganskih omrežji pri obravnavi bolnikov z nevrodegenerativnimi boleznimi

Funder:ARIS - Slovenian Research and Innovation Agency
Project number:J7-2600-2020
Name:Presnovne možganske spremembe nevrodegenerativnih demenc in njihove korelacije s histopatološkimi spremembami v možganih

Funder:ARIS - Slovenian Research and Innovation Agency
Project number:J7-3150-2021
Name:Računalniško-podprta diferencialna diagnoza parkinsonizmov na osnovi FDG-PET slikanja

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License:CC BY-NC 4.0, Creative Commons Attribution-NonCommercial 4.0 International
Link:http://creativecommons.org/licenses/by-nc/4.0/
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