Abstract #2229
Inter and intra network connectivity predicts the evolution of MCI over time and the conversion from MCI to AD
Elena Makovac 1 , Laura Serra 1 , Chiara Mastropasqua 1 , Mario Torso 1 , Barbara Spano' 1 , Giovanni Giulietti 1 , Carlo Caltagirone 2,3 , Mara Cercignani 1,4 , and Marco Bozzali 1
1
Neuroimaging laboratory, IRCCS Santa Lucia
Foundation, Rome, Italy, Italy,
2
Department
of Clinical and Behavioural Neurology, IRCCS Santa Lucia
Foundation, Roma, Italy, Italy,
3
Department
of Neuroscience, University of Rome Tor Vergata, Rome,
Italy, Italy,
4
Clinical
Imaging Sciences Centre, Brighton and Sussex Medical
School, Brighton, Sussex, United Kingdom
Altered functional characteristics have been reported in
amnestic mild cognitive impairment (aMCI) and
Alzheimers disease (AD). Patients with amnestic mild
cognitive impairment (aMCI) have higher probability to
convert to AD than elderly controls. Different RS-fMRI
networks (i.e., the inter-network connectivity) interact
with each other in determining higher level functions
and dysfunctions. Here, we report that both intra- and
inter-network connectivity can predict in MCI patients
the conversion to AD at follow-up. Our results
demonstrate that AD is associated with widespread loss
of both intranetwork and internetwork correlations and
this alteration can be observed already in preclinical
stage of the disease.
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