Related Experiment Video
Updated: May 8, 2026

The 4 Mountains Test: A Short Test of Spatial Memory with High Sensitivity for the Diagnosis of Pre-dementia Alzheimer's Disease
Published on: October 13, 2016
Reliability measures of functional magnetic resonance imaging in a longitudinal evaluation of mild cognitive
Theodore P Zanto1, Judy Pa, Adam Gazzaley
1Department of Neurology, University of California San Francisco, San Francisco, CA 94158, USA.
Abstract:
As the aging population grows, it has become increasingly important to carefully characterize amnestic mild cognitive impairment (aMCI), a preclinical stage of Alzheimer's disease (AD). Functional magnetic resonance imaging (fMRI) is a valuable tool for monitoring disease progression in selectively vulnerable brain regions associated with AD neuropathology. However, the reliability of fMRI data in longitudinal studies of older adults with aMCI is largely unexplored. To address this, aMCI participants completed two visual working tasks, a Delayed-Recognition task and a One-Back task, on three separate scanning sessions over a three-month period. Test-retest reliability of the fMRI blood oxygen level dependent (BOLD) activity was assessed using an intraclass correlation (ICC) analysis approach. Results indicated that brain regions engaged during the task displayed greater reliability across sessions compared to regions that were not utilized by the task. During task-engagement, differential reliability scores were observed across the brain such that the frontal lobe, medial temporal lobe, and subcortical structures exhibited fair to moderate reliability (ICC=0.3-0.6), while temporal, parietal, and occipital regions exhibited moderate to good reliability (ICC=0.4-0.7). Additionally, reliability across brain regions was more stable when three fMRI sessions were used in the ICC calculation relative to two fMRI sessions. In conclusion, the fMRI BOLD signal is reliable across scanning sessions in this population and thus a useful tool for tracking longitudinal change in observational and interventional studies in aMCI.
Insights
Functional magnetic resonance imaging (fMRI) reliably tracks brain changes in individuals with amnestic mild cognitive impairment (aMCI). This blood oxygen level dependent (BOLD) signal is stable across sessions, making fMRI a valuable tool for Alzheimer's disease research.
Area of Science:
- Neuroscience
- Medical Imaging
- Gerontology
Background:
- Amnestic mild cognitive impairment (aMCI) is a preclinical stage of Alzheimer's disease (AD).
- Functional magnetic resonance imaging (fMRI) monitors disease progression in vulnerable brain regions.
- Reliability of fMRI in longitudinal studies of aMCI is under-explored.
Purpose of the Study:
- To assess the test-retest reliability of fMRI blood oxygen level dependent (BOLD) activity in aMCI patients.
- To evaluate fMRI's utility for longitudinal tracking of aMCI progression.
Main Methods:
- aMCI participants completed two visual working memory tasks across three scanning sessions over three months.
- Intraclass correlation (ICC) analysis assessed fMRI BOLD signal reliability.
- Task-engagement and number of sessions influenced reliability calculations.
Main Results:
- Task-engaged brain regions showed higher reliability than non-utilized regions.
- Frontal, medial temporal, and subcortical areas had fair to moderate reliability (ICC=0.3-0.6).
- Temporal, parietal, and occipital regions demonstrated moderate to good reliability (ICC=0.4-0.7).
- Using three sessions improved reliability compared to two sessions.
Conclusions:
- fMRI BOLD signal exhibits reliable test-retest stability in aMCI patients.
- fMRI is a valuable tool for monitoring longitudinal changes in aMCI.
- This supports fMRI's use in observational and interventional studies for aMCI and AD.
More Related Videos
09:01A Method for Investigating Age-related Differences in the Functional Connectivity of Cognitive Control Networks Associated with Dimensional Change Card Sort Performance
Published on: May 7, 2014
09:38Generalized Psychophysiological Interaction (PPI) Analysis of Memory Related Connectivity in Individuals at Genetic Risk for Alzheimer's Disease
Published on: November 14, 2017