Disrupted Network Topology in Patients with Stable and Progressive Mild Cognitive Impairment and Alzheimer's Disease

• Published in: Cerebral cortex (New York, N.Y. 1991) Vol. 26; no. 8; pp. 3476 - 3493
• Main Authors: Pereira, Joana B., Mijalkov, Mite, Kakaei, Ehsan, Mecocci, Patricia, Vellas, Bruno, Tsolaki, Magda, Kłoszewska, Iwona, Soininen, Hilka, Spenger, Christian, Lovestone, Simmon, Simmons, Andrew, Wahlund, Lars-Olof, Volpe, Giovanni, Westman, Eric
• Format: Journal Article
• Language: English
• Published: United States Oxford University Press 01.08.2016
• Subjects: Aged; Alzheimer Disease - diagnostic imaging; Alzheimer Disease - physiopathology; Brain - diagnostic imaging; Brain - physiopathology; Brain Mapping; Cognitive Dysfunction - diagnostic imaging; Cognitive Dysfunction - physiopathology; Cohort Studies; Disease Progression; Female; Humans; Magnetic Resonance Imaging; Male; Neural Pathways - diagnostic imaging; Neural Pathways - physiopathology; Original; clustering; structural covariance networks; modularity; closeness centrality; transitivity
• ISSN: 1047-3211; 1460-2199; 1460-2199
• DOI: 10.1093/cercor/bhw128

Recent findings suggest that Alzheimer's disease (AD) is a disconnection syndrome characterized by abnormalities in large-scale networks. However, the alterations that occur in network topology during the prodromal stages of AD, particularly in patients with stable mild cognitive impairment (MCI) and those that show a slow or faster progression to dementia, are still poorly understood. In this study, we used graph theory to assess the organization of structural MRI networks in stable MCI (sMCI) subjects, late MCI converters (lMCIc), early MCI converters (eMCIc), and AD patients from 2 large multicenter cohorts: ADNI and AddNeuroMed. Our findings showed an abnormal global network organization in all patient groups, as reflected by an increased path length, reduced transitivity, and increased modularity compared with controls. In addition, lMCIc, eMCIc, and AD patients showed a decreased path length and mean clustering compared with the sMCI group. At the local level, there were nodal clustering decreases mostly in AD patients, while the nodal closeness centrality detected abnormalities across all patient groups, showing overlapping changes in the hippocampi and amygdala and nonoverlapping changes in parietal, entorhinal, and orbitofrontal regions. These findings suggest that the prodromal and clinical stages of AD are associated with an abnormal network topology.