Abstract
There is substantial biological heterogeneity among older adults with amnestic mild cognitive impairment (aMCI). We hypothesized that this heterogeneity can be detected solely based on volumetric MRI measures, which potentially have clinical implications and can improve our ability to predict clinical outcomes. We used latent class analysis (LCA) to identify subgroups among persons with aMCI (n = 696) enrolled in the Alzheimer’s Disease Neuroimaging Initiative (ADNI), based on baseline volumetric MRI measures. We used volumetric measures of 10 different brain regions. The subgroups were validated with respect to demographics, cognitive performance, and other AD biomarkers. The subgroups were compared with each other and with normal and Alzheimer’s disease (AD) groups with respect to baseline cognitive function and longitudinal rate of conversion. Four aMCI subgroups emerged with distinct MRI patterns: The first subgroup (n = 404), most similar to normal controls in volumetric characteristics and cognitive function, had the lowest incidence of AD. The second subgroup (n = 230) had the most similar MRI profile to early AD, along with poor performance in memory and executive function domains. The third subgroup (n = 36) had the highest global atrophy, very small hippocampus and worst overall cognitive performance. The fourth subgroup (n = 26) had the least amount of atrophy, however still had poor cognitive function specifically in in the executive function domain. Individuals with aMCI who were clinically categorized within one group other showed substantial heterogeneity based on MRI volumetric measures.
| Original language | English (US) |
|---|---|
| Journal | Brain Imaging and Behavior |
| DOIs | |
| State | Published - Jan 1 2019 |
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Keywords
- Alzheimer’s disease
- Amnestic MCI
- Cognitive function
- Latent class analysis
- Volumetric MRI
ASJC Scopus subject areas
- Radiology Nuclear Medicine and imaging
- Neurology
- Cognitive Neuroscience
- Clinical Neurology
- Cellular and Molecular Neuroscience
- Psychiatry and Mental health
- Behavioral Neuroscience
Cite this
Detecting biological heterogeneity patterns in ADNI amnestic mild cognitive impairment based on volumetric MRI. / for the Alzheimer’s Disease Neuroimaging Initiative.
In: Brain Imaging and Behavior, 01.01.2019.Research output: Contribution to journal › Article
}
TY - JOUR
T1 - Detecting biological heterogeneity patterns in ADNI amnestic mild cognitive impairment based on volumetric MRI
AU - for the Alzheimer’s Disease Neuroimaging Initiative
AU - Ezzati, Ali
AU - Zammit, Andrea R.
AU - Habeck, Christian
AU - Hall, Charles B.
AU - Lipton, Richard B.
PY - 2019/1/1
Y1 - 2019/1/1
N2 - There is substantial biological heterogeneity among older adults with amnestic mild cognitive impairment (aMCI). We hypothesized that this heterogeneity can be detected solely based on volumetric MRI measures, which potentially have clinical implications and can improve our ability to predict clinical outcomes. We used latent class analysis (LCA) to identify subgroups among persons with aMCI (n = 696) enrolled in the Alzheimer’s Disease Neuroimaging Initiative (ADNI), based on baseline volumetric MRI measures. We used volumetric measures of 10 different brain regions. The subgroups were validated with respect to demographics, cognitive performance, and other AD biomarkers. The subgroups were compared with each other and with normal and Alzheimer’s disease (AD) groups with respect to baseline cognitive function and longitudinal rate of conversion. Four aMCI subgroups emerged with distinct MRI patterns: The first subgroup (n = 404), most similar to normal controls in volumetric characteristics and cognitive function, had the lowest incidence of AD. The second subgroup (n = 230) had the most similar MRI profile to early AD, along with poor performance in memory and executive function domains. The third subgroup (n = 36) had the highest global atrophy, very small hippocampus and worst overall cognitive performance. The fourth subgroup (n = 26) had the least amount of atrophy, however still had poor cognitive function specifically in in the executive function domain. Individuals with aMCI who were clinically categorized within one group other showed substantial heterogeneity based on MRI volumetric measures.
AB - There is substantial biological heterogeneity among older adults with amnestic mild cognitive impairment (aMCI). We hypothesized that this heterogeneity can be detected solely based on volumetric MRI measures, which potentially have clinical implications and can improve our ability to predict clinical outcomes. We used latent class analysis (LCA) to identify subgroups among persons with aMCI (n = 696) enrolled in the Alzheimer’s Disease Neuroimaging Initiative (ADNI), based on baseline volumetric MRI measures. We used volumetric measures of 10 different brain regions. The subgroups were validated with respect to demographics, cognitive performance, and other AD biomarkers. The subgroups were compared with each other and with normal and Alzheimer’s disease (AD) groups with respect to baseline cognitive function and longitudinal rate of conversion. Four aMCI subgroups emerged with distinct MRI patterns: The first subgroup (n = 404), most similar to normal controls in volumetric characteristics and cognitive function, had the lowest incidence of AD. The second subgroup (n = 230) had the most similar MRI profile to early AD, along with poor performance in memory and executive function domains. The third subgroup (n = 36) had the highest global atrophy, very small hippocampus and worst overall cognitive performance. The fourth subgroup (n = 26) had the least amount of atrophy, however still had poor cognitive function specifically in in the executive function domain. Individuals with aMCI who were clinically categorized within one group other showed substantial heterogeneity based on MRI volumetric measures.
KW - Alzheimer’s disease
KW - Amnestic MCI
KW - Cognitive function
KW - Latent class analysis
KW - Volumetric MRI
UR - http://www.scopus.com/inward/record.url?scp=85066062055&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85066062055&partnerID=8YFLogxK
U2 - 10.1007/s11682-019-00115-6
DO - 10.1007/s11682-019-00115-6
M3 - Article
AN - SCOPUS:85066062055
JO - Brain Imaging and Behavior
JF - Brain Imaging and Behavior
SN - 1931-7557
ER -