Abstract #4033

Functional connectome architecture of Alzheimer’s disease, mild cognitive impairment and behavioral variant of frontotemporal dementia: a graph analysis study.

Elisa Canu¹, Federica Agosta¹, Silvia Basaia¹, Alessandro Meani¹, Sebastiano Galantucci¹, Francesca Caso¹, Giuseppe Magnani², Roberto Santangelo², Monica Falautano², Giancarlo Comi², Andrea Falini³, and Massimo Filippi^1,2

¹Neuroimaging Research Unit, San Raffaele Scientific Institute, Vita-Salute San Raffaele University, Milan, Italy, ²Department of Neurology, San Raffaele Scientific Institute, Vita-Salute San Raffaele University, Milan, Italy, ³Department of Neuroradiology, San Raffaele Scientific Institute, Vita-Salute San Raffaele University, Milan, Italy

This is a graph analysis study applying a new parcellation approach, which combines the need for equal sized nodes with respecting brain anatomy, on resting state fMRI data from a population of 247 patients with neurodegenerative cognitive impairment (early [EO] and late onset [LO] Alzheimer’s disease (AD), behavioural frontotemporal dementia [bvFTD], mild cognitive impairment [MCI]) and 86 controls. Compared to other groups, AD patients showed disrupted global network connectivity, while MCI had specific regional changes, suggesting that graph-analysis is promising to detect early features of neurodegeneration. Global and regional graph network properties were able to distinguish EOAD and bvFTD.

This abstract and the presentation materials are available to members only; a login is required.

Join Here