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.
How to access this content:
For one year after publication, abstracts and videos are only open to registrants of this annual meeting. Registrants should use their existing login information. Non-registrant access can be purchased via the ISMRM E-Library.
After one year, current ISMRM & ISMRT members get free access to both the abstracts and videos. Non-members and non-registrants must purchase access via the ISMRM E-Library.
After two years, the meeting proceedings (abstracts) are opened to the public and require no login information. Videos remain behind password for access by members, registrants and E-Library customers.
Click here for more information on becoming a member.
