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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