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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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