| Title: |
Metabolic brain networks in dementia with Lewy bodies: from prodromal to manifest disease stages |
| Authors: |
Perovnik, Matej; Simoncic, Urban; Jamsek, Jan; Gregoric Kramberger, Milica; Brumberg, Joachim; Meyer, Philipp Tobias; Perani, Daniela; Caminiti, Silvia Paola; Brendel, Matthias; Stockbauer, Anna Christina; Camacho, Valle; Alcolea, Daniel; Vandenberghe, Rik; Van Laere, Koen; Ko, Ji Hyun; Lee, Chong Sik; Pardini, Matteo; Lombardo, Lorenzo; Padovani, Alessandro; Pilotto, Andrea; Ochoa-Figueroa, Miguel A.; Davidsson, Anette; Chafer-Pericas, Consuelo; Alvarez-Sanchez, Lourdes; Garibotto, Valentina; Lemstra, Afina W.; Ferreira, Daniel; Morbelli, Silvia Daniela; Tang, Chris C.; Eidelberg, David; Trost, Maja |
| Source: |
ISSN:0022-3050 ; ISSN:1468-330X ; Journal Of Neurology Neurosurgery And Psychiatry, vol. 97 (4. |
| Publisher Information: |
BMJ Publishing Group |
| Publication Year: |
2026 |
| Subject Terms: |
Science & Technology; Life Sciences & Biomedicine; Clinical Neurology; Psychiatry; Surgery; Neurosciences & Neurology; LEWY BODY DEMENTIA; ALZHEIMER'S DISEASE; PET; FUNCTIONAL IMAGING; IMAGE-RECONSTRUCTION ALGORITHMS; DIAGNOSTIC PERFORMANCE; ALZHEIMERS-DISEASE; AMYLOID-PET; PATTERNS; F-18-FDG-PET; MANAGEMENT; EXPRESSION; Humans; Lewy Body Disease; Male; Female; Aged; Positron-Emission Tomography; Cognitive Dysfunction; Brain; Fluorodeoxyglucose F18; Alzheimer Disease; 80 and over; Disease Progression |
| Description: |
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 ... |
| Document Type: |
article in journal/newspaper |
| File Description: |
application/pdf |
| Language: |
English |
| Relation: |
https://lirias.kuleuven.be/handle/20.500.12942/779173; https://pubmed.ncbi.nlm.nih.gov/41344886 |
| DOI: |
10.1136/jnnp-2025-336935 |
| Availability: |
https://lirias.kuleuven.be/handle/20.500.12942/779173; https://hdl.handle.net/20.500.12942/779173; https://lirias.kuleuven.be/retrieve/8628ee1e-cb83-400c-a0fc-7f7f50e11430; https://doi.org/10.1136/jnnp-2025-336935; https://pubmed.ncbi.nlm.nih.gov/41344886 |
| Rights: |
info:eu-repo/semantics/openAccess ; public ; https://creativecommons.org/licenses/by-nc/4.0/ |
| Accession Number: |
edsbas.7C3D4F4 |
| Database: |
BASE |