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Abstract #4737

Graph theoretical analysis of resting-state functional MRI reveals widespread disconnection in amnestic mild cognitive impairment

Ludovico Minati 1,2 , Dennis Chan 1 , Chiara Mastropasqua 3,4 , Laura Serra 3 , Barbara Spano' 3 , Camillo Marra 5 , Carlo Caltagirone 6,7 , Mara Cercignani 1 , and Marco Bozzali 3

1 CISC, Brighton and Sussex Medical School, Falmer, East Sussex, United Kingdom, 2 Scientific Department, Neurological Institute "Carlo Besta", Milan, Italy, 3 Neuroimaging Laboratory, IRCCS Santa Lucia, Rome, Italy, 4 Neuroscience Department, University of Trieste, Trieste, Italy, 5 Institute of Neurology, Universit Cattolica, Rome, Italy, 6 Clinical and Behavioural Neurology, IRCCS Santa Lucia, Rome, Italy, 7 Department of Neuroscience, University of Rome Tor Vergata, Rome, Italy

This paper investigates changes in functional network architecture in amnestic mild cognitive impairment using graph-based analysis of task-free fMRI and fine cortical parcellation. Widespread disconnection was observed primarily in cortical hubs known to manifest early Alzheimer pathology. The connectivity changes determined using graph-based analysis significantly exceed those detected using independent component analysis both in amplitude and topographical extent, and are largely decoupled from the presence of overt atrophy. This superior ability of graph-based analysis to detect disease-related disconnection highlights its potential use in the determination of biomarkers of early dementia.

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