A low-dimensional cognitive-network space in Alzheimer’s disease and frontotemporal dementia

Autor: Lorenzo Pini, Siemon C de Lange, Francesca Benedetta Pizzini, Ilaria Boscolo Galazzo, Rosa Manenti, Maria Cotelli, Samantha Galluzzi, Maria Sofia Cotelli, Maurizio Corbetta, Martijn P van den Heuvel, Michela Pievani
Jazyk: angličtina
Rok vydání: 2022
Předmět:
Zdroj: Alzheimer’s Research & Therapy, Vol 14, Iss 1, Pp 1-14 (2022)
Druh dokumentu: article
ISSN: 1758-9193
DOI: 10.1186/s13195-022-01145-x
Popis: Abstract Background Alzheimer’s disease (AD) and frontotemporal dementia (FTD) show network dysfunctions linked with cognitive deficits. Within this framework, network abnormalities between AD and FTD show both convergent and divergent patterns. However, these functional patterns are far from being established and their relevance to cognitive processes remains to be elucidated. Methods We investigated the relationship between cognition and functional connectivity of major cognitive networks in these diseases. Twenty-three bvFTD (age: 71±10), 22 AD (age: 72±6), and 20 controls (age: 72±6) underwent cognitive evaluation and resting-state functional MRI. Principal component analysis was used to describe cognitive variance across participants. Brain network connectivity was estimated with connectome analysis. Connectivity matrices were created assessing correlations between parcels within each functional network. The following cognitive networks were considered: default mode (DMN), dorsal attention (DAN), ventral attention (VAN), and frontoparietal (FPN) networks. The relationship between cognition and connectivity was assessed using a bootstrapping correlation and interaction analyses. Results Three principal cognitive components explained more than 80% of the cognitive variance: the first component (cogPC1) loaded on memory, the second component (cogPC2) loaded on emotion and language, and the third component (cogPC3) loaded on the visuo-spatial and attentional domains. Compared to HC, AD and bvFTD showed impairment in all cogPCs (p
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