Back to Search
Start Over
Structural and functional MRI data differentially predict chronological age and behavioral memory performance
- Source :
- eNeuro 9(6), ENEURO.0212-22.2022-(2022). doi:10.1523/ENEURO.0212-22.2022
- Publication Year :
- 2022
- Publisher :
- Cold Spring Harbor Laboratory, 2022.
-
Abstract
- Human cognitive abilities decline with increasing chronological age, with decreased explicit memory performance being most strongly affected. However, some older adults show “successful aging,” that is, relatively preserved cognitive ability in old age. One explanation for this could be higher brain-structural integrity in these individuals. Alternatively, the brain might recruit existing resources more efficiently or employ compensatory cognitive strategies. Here, we approached this question by testing multiple candidate variables from structural and functional neuroimaging for their ability to predict chronological age and memory performance, respectively. Prediction was performed using support vector machine (SVM) classification and regression across and within two samples of young (N = 106) and older (N = 153) adults. The candidate variables were (1) behavioral response frequencies in an episodic memory test; (2) recently described functional magnetic resonance imaging (fMRI) scores reflecting preservation of functional memory networks; (3) whole-brain fMRI contrasts for novelty processing and subsequent memory; (4) resting-state fMRI maps quantifying voxel-wise signal fluctuation; and (5) gray matter volume estimated from structural MRIs. While age group could be reliably decoded from all variables, chronological age within young and older subjects was best predicted from gray matter volume. In contrast, memory performance was best predicted from task-based fMRI contrasts and particularly single-value fMRI scores, whereas gray matter volume has no predictive power with respect to memory performance in healthy adults. Our results suggest that superior memory performance in healthy older adults is better explained by efficient recruitment of memory networks rather than by preserved brain structure.
- Subjects :
- Aging
Brain Mapping
General Neuroscience
Memory, Episodic
fMRI activity
physiology [Cognition]
Brain
successful aging
General Medicine
physiology [Aging]
cognitive reserve
Magnetic Resonance Imaging
Cognition
physiology [Brain]
gray matter volume
brain maintenance
subsequent memory
Humans
ddc:610
Aged
Subjects
Details
- Database :
- OpenAIRE
- Journal :
- eNeuro 9(6), ENEURO.0212-22.2022-(2022). doi:10.1523/ENEURO.0212-22.2022
- Accession number :
- edsair.doi.dedup.....4a965cd6a6bf918dda32b50cb49ce151