Baseline MRI predictors of conversion from MCI to probable AD in the ADNI cohort

Risacher, Shannon; Saykin, Andrew; Wes, John; Shen, Li; Firpi, Hiram; McDonald, Brenna

doi:10.2174/156720509788929273

Cited by 538Dementia and Cognitive Impairment ResearchAlzheimer's disease research and treatmentsCancer-related cognitive impairment studies

Baseline MRI predictors of conversion from MCI to probable AD in the ADNI cohort

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Risacher, Shannon, Saykin, Andrew, Wes, John, Shen, Li, Firpi, Hiram, McDonald, Brenna·2009·Current Alzheimer Research

DOI 10.2174/156720509788929273PMC PMC2764863

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Abstract

The Alzheimer's Disease Neuroimaging Initiative (ADNI) is a multi-center study assessing neuroimaging in diagnosis and longitudinal monitoring. Amnestic Mild Cognitive Impairment (MCI) often represents a prodromal form of dementia, conferring a 10-15% annual risk of converting to probable AD. We analyzed baseline 1.5T MRI scans in 693 participants from the ADNI cohort divided into four groups by baseline diagnosis and one year MCI to probable AD conversion status to identify neuroimaging phenotypes associated with MCI and AD and potential predictive markers of imminent conversion. MP-RAGE scans were analyzed using publicly available voxel-based morphometry (VBM) and automated parcellation methods. Measures included global and hippocampal grey matter (GM) density, hippocampal and amygdalar volumes, and cortical thickness values from entorhinal cortex and other temporal and parietal lobe regions. The overall pattern of structural MRI changes in MCI (n=339) and AD (n=148) compared to healthy controls (HC, n=206) was similar to prior findings in smaller samples. MCI-Converters (n=62) demonstrated a very similar pattern of atrophic changes to the AD group up to a year before meeting clinical criteria for AD. Finally, a comparison of effect sizes for contrasts between the MCI-Converters and MCI-Stable (n=277) groups on MRI metrics indicated that degree of neurodegeneration of medial temporal structures was the best antecedent MRI marker of imminent conversion, with decreased hippocampal volume (left > right) being the most robust. Validation of imaging biomarkers is important as they can help enrich clinical trials of disease modifying agents by identifying individuals at highest risk for progression to AD.

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Structure-based endophenotypes reliably predict cognitive decline.
“they reliably predict cognitive decline [222]”
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A large number of novel loci and genes have been nominated by imaging GWAS analyses.
“a large number of novel loci and genes have been nominated by these analyses [222, 229–231]”
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[35]Dickerson BC Goncharova I Sullivan MP Forchetti C Wilson RS Bennett DA MRI-derived entorhinal and hippocampal atrophy in incipient and very mild Alzheimer's disease Neurobiol Aging 2001 22 747 754 11705634

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P1‐093: Volumetric, cortical thickness and grey matter density changes on MRI over 12 months: Relationship to conversion status in the ADNI cohort
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IC‐P‐056: Volumetric, cortical thickness and grey matter density changes on MRI over 12 months: Relationship to conversion status in the ADNI cohort
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Authors: Risacher, S., Saykin, A., Wes, J., Shen, L., Firpi, H., & McDonald, B.
Affiliations: Indiana University School of Medicine (US)
Indiana University Bloomington (US)
Corresponding author: Saykin, Andrew
ORCID: Risacher, Shannon
Saykin, Andrew
Shen, Li
McDonald, Brenna
Venue: Current Alzheimer Research
Publisher: Bentham Science Publishers Ltd.
Published: 2009-08-01
Volume: 6
Issue: 4
Pages: 347-361
ISSN: 1567-2050 (ISSN-L)
DOI: 10.2174/156720509788929273
PMC: PMC2764863
OpenAlex: W2128422359
Cited by: 538
References: 90
Citations by year: 2026: 18 · 2025: 11 · 2024: 21 · 2023: 23 · 2022: 20 · 2021: 29 · 2020: 39 · 2019: 36 · 2018: 44 · 2017: 38 · 2016: 41 · 2015: 29 · 2014: 31 · 2013: 46 · 2012: 33
FWCI: 22.68
Type: journal article
Language: en
Open access: bronze
doi.org
Locations: Current Alzheimer Research (publishedVersion)
PubMed Central (publishedVersion, cc-by)
PubMed (publishedVersion)
IUScholarWorks (Indiana University) (submittedVersion, cc-by)
Funders: Brigham Young University
National Institutes of Health (5u01ag024904-10)
School of Medicine, Indiana University
National Institute on Aging (U01-AG-024904, P30AG010133, R01 AG19771, R01AG019771, U19AG010483, P30 AG-10133)
National Institute of Biomedical Imaging and Bioengineering (R03EB008674)
Topics: Health Sciences › Medicine › Psychiatry and Mental health › Dementia and Cognitive Impairment Research
Health Sciences › Medicine › Physiology › Alzheimer's disease research and treatments
Health Sciences › Medicine › Pulmonary and Respiratory Medicine › Cancer-related cognitive impairment studies
Keywords: Alzheimer's disease, amnestic mild cognitive impairment, neuroimaging biomarkers, hippocampal volume, gray matter density, amygdala, entorhinal cortex, cortical thickness, medial temporal lobe atrophy, structural MRI, voxel-based morphometry, MPRAGE, disease progression prediction
MeSH terms: Aged, Aged, 80 and over, Alzheimer Disease, Analysis of Variance, Atrophy, Brain Mapping, Cerebral Cortex, Cognition Disorders, Female, Hippocampus, Humans, Image Interpretation, Computer-Assisted, Image Processing, Computer-Assisted, Magnetic Resonance Imaging, Male, Middle Aged, Neuropsychological Tests, Organ Size, Predictive Value of Tests, Multivariate Analysis, Disease Progression

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