3D maps from multiple MRI illustrate changing atrophy patterns as subjects progress from mild cognitive impairment to Alzheimer's disease

Whitwell, Jennifer L.; Przybelski, Scott A.; Weigand, Stephen D.; Knopman, David S.; Boeve, Bradley F.; Petersen, Ronald C.; Jack, Clifford R.

doi:10.1093/brain/awm112

Cited by 536 publications

(412 citation statements)

References 67 publications

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“…Hence research on early detection of cognitive disorders using only episodic memory tasks may not be sensitive to all of the early manifestations of disease. In accordance with imaging studies showing early changes in the fusiform gyrus [15], we demonstrate that face perceptual deficits are present in aMCI, and that these should be further evaluated as a cognitive marker for the early stages of dementing disorders in patients presenting with memory complaints. Our results suggest that deficits in brightness perception may be similarly useful, and may indicate damage to more widespread occipital cortex than just the fusiform gyrus.…”

Section: Discussionsupporting

confidence: 88%

“…Furthermore, magnetic resonance imaging studies have shown atrophy in not only medial temporal structures but also the inferior and lateral temporal lobes, the cingulate gyrus, and the parietal and frontal lobes, depending on the stage of disease [11][12][13][14]. Some of the earliest changes occur in the anterior medial temporal lobe and fusiform gyrus, as much as 3 years before the diagnosis of AD [15].…”

Section: Introductionmentioning

confidence: 99%

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Deficits in face perception in the amnestic form of mild cognitive impairment

Lim

Lee

Barton

et al. 2011

Journal of the Neurological Sciences

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Section: Discussionsupporting

confidence: 88%

Section: Introductionmentioning

confidence: 99%

Deficits in face perception in the amnestic form of mild cognitive impairment

Lim

Lee

Barton

et al. 2011

Journal of the Neurological Sciences

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“…Expression of the AD pattern at baseline in MCI was associated with progressive structural loss, as well as with clinical decline. This increased rate of atrophy was observed primarily in mesial and lateral temporal areas and is consistent with prior findings of accelerated atrophy rates in these areas in MCI (10,11,15,34,35,58,59,64,65). These findings suggest that measures of structural change in mesial and lateral temporal areas may be promising biomarkers for the assessment of the capability of a treatment to halt the progressive structural loss that accompanies clinical decline in MCI.…”

supporting

confidence: 89%

Alzheimer Disease: Quantitative Structural Neuroimaging for Detection and Prediction of Clinical and Structural Changes in Mild Cognitive Impairment

McEvoy

Fennema-Notestine²,

Roddey³

et al. 2009

Radiology

300

252

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For the Alzheimer's Disease Neuroimaging Initiative Purpose:To use structural magnetic resonance (MR) images to identify a pattern of regional atrophy characteristic of mild Alzheimer disease (AD) and to investigate whether presence of this pattern prospectively can aid prediction of 1-year clinical decline and increased structural loss in mild cognitive impairment (MCI). Materials and Methods:The study was conducted with institutional review board approval and compliance with HIPAA regulations. Written informed consent was obtained from each participant. High-throughput volumetric segmentation and cortical surface reconstruction methods were applied to MR images from 84 subjects with mild AD, 175 with MCI, and 139 healthy control (HC) subjects. Stepwise linear discriminant analysis was used to identify regions that best can aid discrimination of HC subjects from subjects with AD. A classifier trained on data from HC subjects and those with AD was applied to data from subjects with MCI to determine whether presence of phenotypic AD atrophy at baseline was predictive of clinical decline and structural loss. Results:Atrophy in mesial and lateral temporal, isthmus cingulate, and orbitofrontal areas aided discrimination of HC subjects from subjects with AD, with fully cross-validated sensitivity of 83% and specificity of 93%. Subjects with MCI who had phenotypic AD atrophy showed significantly greater 1-year clinical decline and structural loss than those who did not and were more likely to have progression to probable AD (annual progression rate of 29% for subjects with MCI who had AD atrophy vs 8% for those who did not). Conclusion:Semiautomated, individually specific quantitative MR imaging methods can be used to identify a pattern of regional atrophy in MCI that is predictive of clinical decline. Such information may aid in prediction of patient prognosis and increase the efficiency of clinical trials. Data used in the preparation of this article were obtained from the Alzheimer's Disease Neuroimaging Initiative (ADNI) database (http://www.loni.ucla.edu/ADNI ). As such, the investigators within the ADNI contributed to the design and implementation of ADNI and/or provided data but did not participate in analysis or writing of this report. Note: This copy is for your personal, non-commercial use only. To order presentation-ready copies for distribution to your colleagues or clients, use the Radiology Reprints form at the end of this article. M ild cognitive impairment (MCI)is associated with an increased risk of progression to a diagnosis of probable Alzheimer disease (AD) (1-4). Rates of progression vary; some individuals with MCI deteriorate rapidly, others remain stable for many years, and some revert to normal cognitive status. Improved ability to predict risk of imminent decline in patients with MCI could aid in the efficiency of largescale clinical trials and will become increasingly important for individual patient risk stratification as aggressive new treatments are developed.Structural neuroimaging measur...

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“…Further research investigating analysis of cortical thickness measurements on MR images acquired at different sites has identified different field strength as the largest contribution to site-related within-subject variance (Han et al, 2006). The use of standardised image acquisition protocols for multi-site studies, such as those developed by the Biomedical Informatics Research Network (http://www.nbirn.net) and the Alzheimer's Disease Neuroimaging Initiative (Mueller et al, 2005), is also likely to help reduce voxel-wise variance in VBM analyses due to different imaging sites (Whitwell et al, 2007).…”

Section: Discussionmentioning

confidence: 99%

Multi-site voxel-based morphometry: Methods and a feasibility demonstration with childhood absence epilepsy

et al. 2008

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Aim-Voxel-based morphometry analysis of neurological disorders would benefit if it could use data acquired from different scanners, but scanner based contrast variation could interfere with the detection of disease-specific structural abnormalities. In this study we examine MRI data from three different sites to investigate structural differences between childhood absence epilepsy (CAE) subjects and controls.Methods-T1-weighted structural MRI scans were acquired from: Site A. 10 CAE, 213 controls; Site B. 15 CAE, 33 controls; and Site C. 19 CAE, 11 controls. The images were processed using the optimised VBM protocol. Three statistical analyses were undertaken: (1) Comparisons of CAE subjects and controls stratified by site. (2) Between-site comparison of controls from each site. (3) Factorial analysis of all data with site and disease status as factors.Results-Consistent regions of structural change, located in the thalamic nuclei, were observed in the within-site analysis of CAE vs controls. Analysis of control scans, however, indicated sitespecific differences between controls, which required that we adjust for site in combined analyses. Analysis of all data with adjustment for site confirmed the finding of thalamic atrophy in CAE cases.Conclusion-Combined VBM analysis of structural MRI scans acquired from different sites yield consistent patterns of structural change in CAE when site is included as a factor in the statistical analysis of the processed images. In MRI studies of diseases where only a limited number of subjects can be imaged at each site, our study supports the possibility of effective multi-site studies as long as both disease subjects and healthy controls are acquired from each site.

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3D maps from multiple MRI illustrate changing atrophy patterns as subjects progress from mild cognitive impairment to Alzheimer's disease

Cited by 536 publications

References 67 publications

Deficits in face perception in the amnestic form of mild cognitive impairment

Deficits in face perception in the amnestic form of mild cognitive impairment

Alzheimer Disease: Quantitative Structural Neuroimaging for Detection and Prediction of Clinical and Structural Changes in Mild Cognitive Impairment

Multi-site voxel-based morphometry: Methods and a feasibility demonstration with childhood absence epilepsy

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