Disease specific and nonspecific metabolic brain networks in behavioral variant of frontotemporal dementia. Issue 3 (5th November 2022)

• Record Type: Journal Article
• Authors: Rus, Tomaž; Perovnik, Matej; Vo, An; Nguyen, Nha; Tang, Chris; Jamšek, Jan; Šurlan Popović, Katarina; Grimmer, Timo; Yakushev, Igor; Diehl‐Schmid, Janine; Eidelberg, David; Trošt, Maja
• Is Part Of: Human brain mapping. Volume 44:Issue 3(2023)
• Page Start: 1079
• Page End: 1093
• Publication Date: 2022-11-05
• Subjects: behavioral variant of frontotemporal dementia -- default mode network -- FDG‐PET -- functional connectivity -- network analysis -- SSM/PCA; Brain mapping -- Periodicals; 611.81
• DOI: 10.1002/hbm.26140
• Languages: English
• ISSNs: 1065-9471

Abstract

Abstract: Behavioral variant of frontotemporal dementia (bvFTD) is common among young‐onset dementia patients. While bvFTD‐specific multivariate metabolic brain pattern (bFDRP) has been identified previously, little is known about its temporal evolution, internal structure, effect of atrophy, and its relationship with nonspecific resting‐state networks such as default mode network (DMN). In this multicenter study, we explored FDG‐PET brain scans of 111 bvFTD, 26 Alzheimer's disease, 16 Creutzfeldt‐Jakob's disease, 24 semantic variant primary progressive aphasia (PPA), 18 nonfluent variant PPA and 77 healthy control subjects (HC) from Slovenia, USA, and Germany. bFDRP was identified in a cohort of 20 bvFTD patients and age‐matched HC using scaled subprofile model/principle component analysis and validated in three independent cohorts. It was characterized by hypometabolism in frontal cortex, insula, anterior/middle cingulate, caudate, thalamus, and temporal poles. Its expression in bvFTD patients was significantly higher compared to HC and other dementia syndromes ( p < .0004), correlated with cognitive decline ( p = .0001), and increased over time in longitudinal cohort ( p = .0007). Analysis of internal network organization by graph‐theory methods revealed prominent network disruption in bvFTD patients. We have further found a specific atrophy‐related pattern grossly corresponding to bFDRP; however, its contribution to the metabolic pattern was minimal. Finally, despite the overlap between bFDRP and FDG‐PET‐derived DMN, we demonstrated a predominant role of the specific bFDRP. Taken together, we validated the bFDRP network as a diagnostic/prognostic biomarker specific for bvFTD, provided a unique insight into its highly reproducible internal structure, and proved that bFDRP is unaffected by structural atrophy and independent of normal resting state networks loss. Abstract : Behavioral variant of the frontotemporal dementia (bvFTD) specific metabolic brain pattern (bFDRP) is a robust metabolic biomarker validated on three different populations. Its internal structure is characterized by prominent network disruption and inefficient information transfer in bvFTD patients. Despite overlapping with the default mode network, bFDRP is an independent network with highly reproducible changes.