Altered default mode network connectivity in older adults with cognitive complaints and amnestic mild cognitive impairment. J Alzheimers Dis 2013;35(4):751-60
Date
03/14/2013Pubmed ID
23481685Pubmed Central ID
PMC3962306DOI
10.3233/JAD-130080Scopus ID
2-s2.0-84878868454 (requires institutional sign-in at Scopus site) 128 CitationsAbstract
Default mode network (DMN) disruption has been reported in Alzheimer's disease (AD), yet the specific pattern of altered connectivity over the course of prodromal AD remains to be characterized. The aim of this study was to assess DMN connectivity in older adults with informant-verified cognitive complaints (CC) but normal neuropsychological performance compared to individuals with mild cognitive impairment (MCI) and healthy controls (HC). DMN maps were derived from resting-state fMRI using independent component analysis. Group comparisons of DMN connectivity were performed between older adults with MCI (n = 18), CC (n = 23), and HC (n = 16). Both CC and MCI showed decreased DMN connectivity in the right hippocampus compared to HC, with the CC group showing greater connectivity than MCI. These differences survived atrophy correction and correlated with cognitive performance. DMN connectivity appears sensitive to early prodromal neurodegenerative changes associated with AD, notably including pre-MCI individuals with cognitive complaints.
Author List
Wang Y, Risacher SL, West JD, McDonald BC, Magee TR, Farlow MR, Gao S, O'Neill DP, Saykin AJAuthors
Darren P. O'Neill MD Vice Chair, Associate Professor in the Radiology department at Medical College of WisconsinYang Wang MD Professor in the Radiology department at Medical College of Wisconsin
MESH terms used to index this publication - Major topics in bold
AgedAmnesia
Atrophy
Brain
Cognition Disorders
Cognitive Dysfunction
Data Interpretation, Statistical
Disease Progression
Female
Hippocampus
Humans
Image Processing, Computer-Assisted
Magnetic Resonance Imaging
Male
Middle Aged
Neural Pathways
Neuropsychological Tests
Principal Component Analysis