Voxel-based morphometry to detect brain atrophy in progressive mild cognitive impairment

Hämäläinen, Anne; Tervo, Susanna; Grau-Olivares, Marta; Niskanen, Eini; Pennanen, Corina; Huuskonen, Juhani; Kivipelto, Miia; Hänninen, Tuomo; Tapiola, Mia; Vanhanen, Matti; Hallikainen, Merja; Helkala, Eeva‐Liisa; Nissinen, Aulikki; Vanninen, Ritva; Soininen, Hilkka

doi:10.1016/j.neuroimage.2007.06.016

Cited by 130 publications

(109 citation statements)

References 45 publications

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“…Some structural MRI studies, but not all, have reported gray matter atrophy within the posteromedial cortices already at the stage of MCI, particularly in subjects who later progressed to clinical AD compared to those who remained cognitively stable [1,10,32,73,87,92]. Regarding the APOEe4 carrier genotype, elderly e4 carriers seem to suffer medial temporal lobe atrophy but not any excessive global brain atrophy [14,22,79].…”

Section: Discussionmentioning

confidence: 96%

Functional MRI Assessment of Task-Induced Deactivation of the Default Mode Network in Alzheimer’s Disease and At-Risk Older Individuals

Pihlajamäki

Sperling

2009

Behavioural Neurology

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Abstract. Alzheimer's disease (AD) is the most common form of dementia in old age, and is characterized by prominent impairment of episodic memory. Recent functional imaging studies in AD have demonstrated alterations in a distributed network of brain regions supporting memory function, including regions of the default mode network. Previous positron emission tomography studies of older individuals at risk for AD have revealed hypometabolism of association cortical regions similar to the metabolic abnormalities seen in AD patients. In recent functional magnetic resonance imaging (fMRI) studies of AD, corresponding brain default mode regions have also been found to demonstrate an abnormal fMRI task-induced deactivation response pattern. That is, the relative decreases in fMRI signal normally observed in the default mode regions in healthy subjects performing a cognitive task are not seen in AD patients, or may even be reversed to a paradoxical activation response. Our recent studies have revealed alterations in the pattern of deactivation also in elderly individuals at risk for AD by virtue of their APOE e4 genotype, or evidence of mild cognitive impairment (MCI). In agreement with recent reports from other groups, these studies demonstrate that the pattern of fMRI task-induced deactivation is progressively disrupted along the continuum from normal aging to MCI and to clinical AD and more impaired in e4 carriers compared to non-carriers. These findings will be discussed in the context of current literature regarding functional imaging of the default network in AD and at-risk populations.

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Section: Discussionmentioning

confidence: 96%

Functional MRI Assessment of Task-Induced Deactivation of the Default Mode Network in Alzheimer’s Disease and At-Risk Older Individuals

Pihlajamäki

Sperling

2009

Behavioural Neurology

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“…Posterior cingulate and frontal atrophy have been inconsistently observed in MCI and mild AD in both cross-sectional and longitudinal studies (10,(14)(15)(16)(58)(59)(60)(61)(62). Methodological differences likely contribute to these discrepant findings.…”

Section: Figurementioning

confidence: 97%

“…Structural neuroimaging measures are sensitive to the degeneration that occurs in mild AD and MCI (5) and may be predictive of disease progression (6)(7)(8)(9)(10)(11)(12)(13)(14)(15)(16). However, most prior studies have been limited by small samples or use of data from one site.…”

Section: Ild Cognitive Impairment (Mci)mentioning

confidence: 99%

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

297

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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“…[82][83][84] Longitudinal studies have shown that MCI-converter patients have more intense volume reductions in the hippocampal and parahippocampal structures, and, to a lesser extent, in the posterior cingulate cortex, middle and inferior temporal gyri, fusiform gyrus, posterior cingulate gyrus, precuneus, temporoparietal junction, and frontal cortex. [85][86][87][88] Another interesting finding from longitudinal studies is the accelerated gray matter loss in MCI converters as compared to MCI-stable subjects. 89 A recent meta-analytical study showed a consistent finding of decreased left hippocampal volumes in converter vs. stable MCI patients.…”

Section: Structural Neuroimagingmentioning

confidence: 99%

Mild cognitive impairment (part 2): biological markers for diagnosis and prediction of dementia in Alzheimer's disease

Forlenza

Diniz

Teixeira

et al. 2013

Rev. Bras. Psiquiatr.

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Objective: To present a critical review of publications reporting on the rationale and clinical implications of the use of biomarkers for the early diagnosis of Alzheimer's disease (AD). Methods: We conducted a systematic search of the PubMed and Web of Science electronic databases, limited to articles published in English between 1999 and 2012, and based on the following terms: mild cognitive impairment, Alzheimer's disease OR dementia, biomarkers. We retrieved 1,130 articles, of which 175 were reviews. Overall, 955 original articles were eligible. Results: The following points were considered relevant for the present review: a) rationale for biomarkers research in AD and mild cognitive impairment (MCI); b) usefulness of distinct biomarkers for the diagnosis and prediction of AD; c) the role of multimodality biomarkers for the diagnosis and prediction of AD; d) the role of biomarkers in clinical trials of patients with AD and MCI; and e) current limitations to the widespread use of biomarkers in research and clinical settings. Conclusion: Different biomarkers are useful for the early diagnosis and prediction of AD in at-risk subjects. Nonetheless, important methodological limitations need to be overcome for widespread use of biomarkers in research and clinical settings.

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Voxel-based morphometry to detect brain atrophy in progressive mild cognitive impairment

Cited by 130 publications

References 45 publications

Functional MRI Assessment of Task-Induced Deactivation of the Default Mode Network in Alzheimer’s Disease and At-Risk Older Individuals

Functional MRI Assessment of Task-Induced Deactivation of the Default Mode Network in Alzheimer’s Disease and At-Risk Older Individuals

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

Mild cognitive impairment (part 2): biological markers for diagnosis and prediction of dementia in Alzheimer's disease

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