4.6 Article

Hippocampus-centred grey matter covariance networks predict the development and reversion of mild cognitive impairment

Journal

ALZHEIMERS RESEARCH & THERAPY
Volume 15, Issue 1, Pages -

Publisher

BMC
DOI: 10.1186/s13195-023-01167-z

Keywords

Mild cognitive impairment; Covariance network; Hippocampus; Partial least square analyses; Random forest; Default network; Frontoparietal network

Ask authors/readers for more resources

This study reveals the changes in grey matter covariance during the development and reversion of mild cognitive impairment (MCI) and emphasizes the importance of considering grey matter covariance along with hippocampal degeneration in the early detection of MCI and Alzheimer's disease.
BackgroundMild cognitive impairment (MCI) has been thought of as the transitional stage between normal ageing and Alzheimer's disease, involving substantial changes in brain grey matter structures. As most previous studies have focused on single regions (e.g. the hippocampus) and their changes during MCI development and reversion, the relationship between grey matter covariance among distributed brain regions and clinical development and reversion of MCI remains unclear.MethodsWith samples from two independent studies (155 from the Beijing Aging Brain Rejuvenation Initiative and 286 from the Alzheimer's Disease Neuroimaging Initiative), grey matter covariance of default, frontoparietal, and hippocampal networks were identified by seed-based partial least square analyses, and random forest models were applied to predict the progression from normal cognition to MCI (N-t-M) and the reversion from MCI to normal cognition (M-t-N).ResultsWith varying degrees, the grey matter covariance in the three networks could predict N-t-M progression (AUC = 0.692-0.792) and M-t-N reversion (AUC = 0.701-0.809). Further analyses indicated that the hippocampus has emerged as an important region in reversion prediction within all three brain networks, and even though the hippocampus itself could predict the clinical reversion of M-t-N, the grey matter covariance showed higher prediction accuracy for early progression of N-t-M.ConclusionsOur findings are the first to report grey matter covariance changes in MCI development and reversion and highlight the necessity of including grey matter covariance changes along with hippocampal degeneration in the early detection of MCI and Alzheimer's disease.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.6
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available