TY - JOUR
T1 - Common effects of amnestic mild cognitive impairmenton resting-state connectivity across four independent studies
AU - For the Alzheimer’s Disease Neuroimaging Initiative
AU - Tam, Angela
AU - Dansereau, Christian
AU - Badhwar, Aman Preet
AU - Orban, Pierre
AU - Belleville, Sylvie
AU - Chertkow, Howard
AU - Dagher, Alain
AU - Hanganu, Alexandru
AU - Monchi, Oury
AU - Rosa-Neto, Pedro
AU - Shmuel, Amir
AU - Wang, Seqian
AU - Breitner, John
AU - Bellec, Pierre
N1 - Publisher Copyright:
© 2015 Tam.
PY - 2015/12/24
Y1 - 2015/12/24
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 amnestic mild cognitive impairment (aMCI) 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 aMCI despite variations in scanner manufacturer, imaging protocol, and diagnostic procedure. We therefore combined four datasets collected independently, including 112 healthy controls and 143 patients with aMCI. We systematically tested multiple brain connections for associations with aMCI using a weighted average routinely used in meta-analyses. The largest effects involved the superior medial frontal cortex (including the anterior cingulate), dorsomedial prefrontal cortex, striatum, and middle temporal lobe. Compared with controls, patients with aMCI exhibited significantly decreased connectivity between default mode network nodes and between regions of the cortico-striatal-thalamic loop. Despite the heterogeneity of methods among the four datasets, we identified common aMCI-related connectivity changes with small to medium effect sizes and sample size estimates recommending a minimum of 140 to upwards of 600 total subjects to achieve adequate statistical power in the context of a multisite study with 5-10 scanning sites and about 10 subjects per group and per site. If our findings can be replicated and associated with other established biomarkers of Alzheimer's disease (e.g., amyloid and tau quantification), then these functional connections may be promising candidate biomarkers for Alzheimer's disease.
AB - 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 amnestic mild cognitive impairment (aMCI) 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 aMCI despite variations in scanner manufacturer, imaging protocol, and diagnostic procedure. We therefore combined four datasets collected independently, including 112 healthy controls and 143 patients with aMCI. We systematically tested multiple brain connections for associations with aMCI using a weighted average routinely used in meta-analyses. The largest effects involved the superior medial frontal cortex (including the anterior cingulate), dorsomedial prefrontal cortex, striatum, and middle temporal lobe. Compared with controls, patients with aMCI exhibited significantly decreased connectivity between default mode network nodes and between regions of the cortico-striatal-thalamic loop. Despite the heterogeneity of methods among the four datasets, we identified common aMCI-related connectivity changes with small to medium effect sizes and sample size estimates recommending a minimum of 140 to upwards of 600 total subjects to achieve adequate statistical power in the context of a multisite study with 5-10 scanning sites and about 10 subjects per group and per site. If our findings can be replicated and associated with other established biomarkers of Alzheimer's disease (e.g., amyloid and tau quantification), then these functional connections may be promising candidate biomarkers for Alzheimer's disease.
KW - Connectome
KW - Default mode network
KW - FMRI
KW - Meta-analysis
KW - Mild cognitive impairment
KW - Resting-state
UR - http://www.scopus.com/inward/record.url?scp=84976875047&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84976875047&partnerID=8YFLogxK
U2 - 10.3389/fnagi.2015.00242
DO - 10.3389/fnagi.2015.00242
M3 - Article
C2 - 26733866
AN - SCOPUS:84976875047
SN - 1663-4365
VL - 7
JO - Frontiers in Aging Neuroscience
JF - Frontiers in Aging Neuroscience
M1 - e242
ER -