Metabolic brain pattern in dementia with Lewy bodies : relationship to Alzheimer’s disease topography

Perovnik, Matej (author), Tomše, Petra (author), Jamšek, Jan (author), Tang, Chris Chengke (author), Eidelberg, David (author), Trošt, Maja (author)

Purpose: Dementia with Lewy bodies (DLB) is the second most common neurodegenerative dementia, that shares clinical and metabolic similarities with both Alzheimer’s and Parkinson’s disease. In this study we aimed to identify a DLB-related pattern (DLBRP), study its relationship with other metabolic brain patterns and explore its diagnostic and prognostic value. Methods: A cohort of 79 participants with DLB, 63 with dementia due to Alzheimer’s disease (AD) and 41 normal controls (NCs) and their 2-[$^{18}$F]FDG PET scans were analysed for identification and validation of DLBRP. Voxel-wise correlation and multiple linear regression were used to study the relation between DLBRP and Alzheimer’s disease-related pattern (ADRP), Parkinson’s disease-related pattern (PDRP) and PD-related cognitive pattern (PDCP). Diagnostic and prognostic value of DLBRP and of modified DLBRP after accounting for ADRP overlap (DLBRP ⊥ ADRP), were explored. Results: The newly identified DLBRP shared topographic similarities with ADRP (R$^2$ = 24%) and PDRP (R$^2$ = 37%), but not with PDCP. We could accurately discriminate between DLB and NC (AUC = 0.99) based on DLBRP expression, and between DLB and AD (AUC = 0.87) based on DLBRP ⊥ ADRP expression. DLBRP expression correlated with cognitive impairment, but the correlation was lost after accounting for ADRP overlap. DLBRP and DLBRP ⊥ ADRP correlated with patients’ survival time. Conclusion: DLBRP has proven to be a specific metabolic brain biomarker of DLB, sharing similarities with ADRP and PDRP, but not PDCP. We observed a similar metabolic mechanism underlying cognitive impairment in DLB and AD. DLB-specific metabolic changes were more detrimental for overall survival.

• Language: English
• Keywords: dementia with Lewy bodies, Alzheimer’s disease, biomarker, metabolic brain imaging, FDG PET, network analysis, scaled subprofile model/principal component analysis, SSM/PCA
• Work type: Article
• Typology: 1.01 - Original Scientific Article
• Organization: MF - Faculty of Medicine
• Publication status: Published
• Publication version: Version of Record
• Year: 2022
• Number of pages: 10 str.
• Numbering: Vol. 35, art. 103080
• PID: 20.500.12556/RUL-139768
• UDC: 616.8
• ISSN on article: 2213-1582
• DOI: 10.1016/j.nicl.2022.103080
• COBISS.SI-ID: 113110787
• Publication date in RUL: 07.09.2022

Record is a part of a journal

• Title: NeuroImage. Clinical
• Publisher: Elsevier
• ISSN: 2213-1582
• COBISS.SI-ID: 519712025

Licences

• License: CC BY-NC-ND 4.0, Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International
• Link: http://creativecommons.org/licenses/by-nc-nd/4.0/
• Description: The most restrictive Creative Commons license. This only allows people to download and share the work for no commercial gain and for no other purposes.

Secondary language

• Language: Slovenian
• Keywords: nevrologija, demenca, Lewyjeva telesca, alzheimerjeva bolezen, nevrodegenerativne bolezni