TY - JOUR T1 - Consistent inter-protocol differences in resting-state functional connectomes between normal aging and mild cognitive impairment JF - bioRxiv DO - 10.1101/019646 SP - 019646 AU - Angela Tam AU - Christian Dansereau AU - AmanPreet Badhwar AU - Pierre Orban AU - Sylvie Belleville AU - Howard Chertkow AU - Alain Dagher AU - Alexandru Hanganu AU - Oury Monchi AU - Pedro Rosa-Neto AU - Amir Shmuel AU - Seqian Wang AU - John Breitner AU - Pierre Bellec AU - Alzheimer’s Disease Neuroimaging Initiative Y1 - 2015/01/01 UR - http://biorxiv.org/content/early/2015/05/22/019646.abstract N2 - Resting-state functional connectivity is a promising biomarker for Alzheimer’s disease. However, previous resting-state functional magnetic resonance imaging studies in Alzheimer’s disease and mild cognitive impairment (MCI) have shown limited reproducibility as they have had small sample sizes and substantial variation in study protocol. We sought to identify functional brain networks and connections that could consistently discriminate normal aging from MCI despite variations in scanner manufacturer, imaging protocol, and diagnostic procedure. We therefore pooled four independent datasets, including 112 healthy controls and 143 patients with MCI, systematically testing multiple brain connections for consistent differences. The largest effects associated with MCI involved the ventromedial and dorsomedial prefrontal cortex, striatum, and middle temporal lobe. Compared with controls, patients with MCI exhibited significantly decreased connectivity within the frontal lobe, between frontal and temporal areas, and between regions of the cortico-striatal-thalamic loop. Despite the heterogeneity of methods among the four datasets, we identified robust MCI-related connectivity changes that appear to be promising candidate biomarkers for Alzheimer’s disease. ER -