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Comparison of different MRI brain atrophy rate measures with clinical disease progression in AD
Open accessAbstract
OBJECTIVE: To correlate different methods of measuring rates of brain atrophy from serial MRI with corresponding clinical change in normal elderly subjects, patients with mild cognitive impairment (MCI), and patients with probable Alzheimer disease (AD). METHODS: One hundred sixty subjects were recruited from the Mayo Clinic Alzheimer's Disease Research Center and Alzheimer's Disease Patient Registry Studies. At baseline, 55 subjects were cognitively normal, 41 met criteria for MCI, and 64 met criteria for AD. Each subject underwent an MRI examination of the brain at the time of the baseline clinical assessment and then again at the time of a follow-up clinical assessment, 1 to 5 years later. The annualized changes in volume of four structures were measured from the serial MRI studies: hippocampus, entorhinal cortex, whole brain, and ventricle. Rates of change on several cognitive tests/rating scales were also assessed. Subjects who were classified as normal or MCI at baseline could either remain stable or convert to a lower-functioning group. AD subjects were dichotomized into slow vs fast progressors. RESULTS: All four atrophy rates were greater among normal subjects who converted to MCI or AD than among those who remained stable, greater among MCI subjects who converted to AD than among those who remained stable, and greater among fast than slow AD progressors. In general, atrophy on MRI was detected more consistently than decline on specific cognitive tests/rating scales. With one exception, no differences were found among the four MRI rate measures in the strength of the correlation with clinical deterioration at different stages of the disease. CONCLUSIONS: These data support the use of rates of change from serial MRI studies in addition to standard clinical/psychometric measures as surrogate markers of disease progression in AD. Estimated sample sizes required to power a therapeutic trial in MCI were an order of magnitude less for MRI than for change measures based on cognitive tests/rating scales.
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Weiner, M. W., Sadowsky, C., Saxton, J. A., Hofbauer, R. K., Graham, S. M., Yu, S. Y., Li, S., Hsu, H., Suhy, J., Fridman, M., et al. (2011) · Alzheimer s & Dementia · doi:10.1016/j.jalz.2010.09.003 · Cited by 34
“3% was obtained by both Jack et al [35] and the Alzheimer’s Disease Neuroimaging Initiative [37], and a recent meta-analysis of longitudinal hippocampal volume changes showed a mean annualized hippocampal atrophy rate of 4.”
BackgroundMethodResultInfluentialRelationship between Brain Age-Related Reduction in Gray Matter and Educational Attainment
Rzezak, P., Squarzoni, P., Duran, F., Alves, T. C. T. F., Tamashiro-Duran, J. H., Bottino, C. M. C., Ribeiz, S. R. I., Lotufo, P. A., Menezes, P. R., Scazufca, M., et al. (2015) · PLoS ONE · doi:10.1371/journal.pone.0140945 · Cited by 38
Alger, J. R., Ellingson, B. M., Ashe-McNalley, C., Woodworth, D. C., Labus, J. S., Farmer, M. A., Huang, L., Apkarian, A. V., Johnson, K. A., Mackey, S., et al. (2016) · NeuroImage Clinical · doi:10.1016/j.nicl.2015.12.009 · Cited by 34
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“Volume of the lateral ventricles has repeatedly shown a relationship to AD status and disease progression in the general population [44-47].”
Learning Biomarker Models for Progression Estimation of Alzheimer’s Disease
Schmidt-Richberg, A., Ledig, C., Guerrero, R., Molina‐Abril, H., Frangi, A. F., Rueckert, D., & Initiative, O. B. O. T. A. D. N. (2016) · PLoS ONE · doi:10.1371/journal.pone.0153040 · Cited by 33
“In this context, it would be interesting to employ biomarkers based on atrophy [49], tensor-based morphometry [13] or PET imaging [50], which could be integrated in a straightforward manner.”
BackgroundAcceleration of Brain Atrophy and Progression From Normal Cognition to Mild Cognitive Impairment
Uchida, Y., Nishimaki, K., Soldan, A., Moghekar, A., Albert, M., & Oishi, K. (2024) · JAMA Network Open · doi:10.1001/jamanetworkopen.2024.41505 · Cited by 36
Early Indications of Future Cognitive Decline: Stable versus Declining Controls
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Self-citationHadj-Hamou, M., Lorenzi, M., Ayache, N., & Pennec, X. (2016) · Frontiers in Neuroscience · doi:10.3389/fnins.2016.00236 · Cited by 32
“These results are coherent with the findings reported in the literature (Braak and Braak, 1991; Fox et al., 1996; Jack et al., 2004; Schott et al., 2005; de Jong et al., 2008).”
Falahati, F., Ferreira, D., Muehlboeck, J.-S., Eriksdotter, M., Simmons, A., Wahlund, L., & Westman, E. (2017) · NeuroImage: Clinical · doi:10.1016/j.nicl.2017.08.014 · Cited by 30
“This is in line with previous cross-sectional and longitudinal studies that reported increased rates of regional and whole brain atrophy in MCI and AD subjects (Jack et al., 2004; Leung et al., 2013; Schuff et al., 2012; Sluimer et al., 2009; Spulber et al., 2012).”
The emerging neuroprotective roles of exerkines in Alzheimer’s disease
Rody, T., Amorim, J. A. D., & Felice, F. G. D. (2022) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2022.965190 · Cited by 37
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“, and Dostrovsky, J. (1971). The hippocampus as a spatial map.”
BackgroundInfluentialShort-term mechanisms influencing volumetric brain dynamics
Dieleman, N., Koek, H. L., & Hendrikse, J. (2017) · NeuroImage Clinical · doi:10.1016/j.nicl.2017.09.002 · Cited by 32
“For the neurodegenerative disorders, atrophy rates are higher, with annual rates between 1.0 and 3.0% (Fox and Freeborough, 1997; Jack et al., 2004).”
InfluentialJové, M., Mota‐Martorell, N., Torres, P., Ayala, V., Portero‐Otín, M., Ferrer, I., & Pamplona, R. (2021) · Life · doi:10.3390/life11050388 · Cited by 31
TR-GAN: Multi-Session Future MRI Prediction With Temporal Recurrent Generative Adversarial Network
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Evaluation of Cross-Protocol Stability of a Fully Automated Brain Multi-Atlas Parcellation Tool
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Biomarkers in Alzheimer’s Disease
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Self-citationA lifespan MRI evaluation of ventricular enlargement in normal aging mice
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New developments in mild cognitive impairment and Alzheimer's disease
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An MRI substudy of a donepezil clinical trial in mild cognitive impairment
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“As a result, holinesterase inhibitors (ChEIs), the mainstay of treatment or AD, have been evaluated for the treatment of MCI.”
BackgroundMethodGenome-wide interaction analysis reveals replicated epistatic effects on brain structure
Hibar, D. P., Stein, J. L., Jahanshad, N., Omid Kohannim, A., Hua, X., Toga, A. W., McMahon, K. L., de Zubicaray, G. I., Martin, N. G., Wright, M. J., et al. (2014) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2014.02.033 · Cited by 31
“Commonly measured clinical scores are used for diagnosis, but, in some cases, neuroimaging measures may offer better biomarkers of disease progression and severity (Braskie et al., 2013; Jack et al., 2004).”
Platero, C. A., & Tobar, M. C. (2016) · Journal of Neuroscience Methods · doi:10.1016/j.jneumeth.2016.06.013 · Cited by 30
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“Recent studies have shown that several biomarker modalities can predict cognitive decline in AD populations, including glucose hypometabolism measured by uptake of [18F]fluorodeoxyglucose in positron emission tomography (FDG-PET) [7,8], hippocampal atrophy in magnetic resonance imaging (MRI) [9], decreased cerebrospin…”
BackgroundInfluentialLongitudinal Neuroimaging Hippocampal Markers for Diagnosing Alzheimer’s Disease
Platero, C. A., Lin, L., & Tobar, M. C. (2018) · Neuroinformatics · doi:10.1007/s12021-018-9380-2 · Cited by 30
Metadata
- Authors
- Jack, C. R., Shiung, M. M., Gunter, J. L., O’Brien, P. C., Weigand, S. D., Knopman, D. S., Boeve, B. F., Ivnik, R. J., Smith, G. E., Cha, R. H., Tangalos, E. G., & Petersen, R. C.
- Affiliations
- Mayo Clinic (US)
- ORCID
- Venue
- Neurology
- Published
- 2004-02-24
- Volume
- 62
- Issue
- 4
- Pages
- 591-600
- ISSN
- 0028-3878 (ISSN-L)
- 1526-632X
- PMC
- PMC2730165
- OpenAlex
- W2005133023
- Cited by
- 827
- References
- 41
- Citations by year
- 2026: 17 · 2025: 19 · 2024: 21 · 2023: 25 · 2022: 20 · 2021: 36 · 2020: 27 · 2019: 38 · 2018: 36 · 2017: 37 · 2016: 33 · 2015: 39 · 2014: 41 · 2013: 48 · 2012: 38
- FWCI
- 28.59
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Neurology (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- Funders
- National Institute on Aging (AG-06786, AG 16574, U01AG006786, R01AG011378, AG-11378, U19AG010483, R37AG011378, P50AG016574)
- Topics
- Health Sciences › Medicine › Psychiatry and Mental health › Dementia and Cognitive Impairment Research
- Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Alzheimer's disease research and treatments
- Health Sciences › Medicine › Oncology › Cancer-related cognitive impairment studies
- Keywords
- Alzheimer's disease, brain atrophy rate, serial MRI, hippocampal atrophy, entorhinal cortex atrophy, whole brain atrophy, ventriculomegaly, mild cognitive impairment, disease progression, surrogate markers, cognitive decline, trial size, MCI conversion
- MeSH terms
- Aged, Aged, 80 and over, Alzheimer Disease, Apolipoproteins E, Atrophy, Brain, Cognition Disorders, Female, Hippocampus, Humans, Magnetic Resonance Imaging, Male, Middle Aged, Cohort Studies, Disease Progression, Entorhinal Cortex, Apolipoprotein E4
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