Multimodal imaging in mild cognitive impairment: Metabolism, morphometry and diffusion of the temporal–parietal memory network

Walhovd, Kristine B.; Fjell, Anders M.; Amlien, Inge K.; Grambaitė, Ramunė; Stenset, Vidar; Bjørnerud, Atle; Reinvang, Ivar; Gjerstad, Leif; Cappelen, Tone; Due‐Tønnessen, Paulina; Fladby, Tormod

doi:10.1016/j.neuroimage.2008.10.053

Cited by 83 publications

(75 citation statements)

References 52 publications

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“…This result contradicts data in prior reports in which researchers found FDG PET to be relatively superior to MR measures in the detection of changes associated with mild AD and MCI (3)(4)(5)7 ). However, it is consistent with data in other reports ( 29 ). Included among these other reports is a report that was based on ADNI data ( 30 ) that showed that combinations of FDG PET measures display discriminative accuracy similar to the accuracy of combinations of MR imaging measures but that the FDG PET measures do not provide an independent contribution to classifi cation accuracy once morphometric measures are taken into account.…”

Section: Neuroradiogolgy: Prodromal and Early Alzheimer Diseasesupporting

confidence: 88%

“…The multisite design also adds variability caused by different imager platforms, which may have affected FDG PET measures to a greater degree than it did MR imaging measures, a factor that would also affect any multisite, large-scale clinical trial. A recent study ( 29 ) with the use of methods similar to those used here, cortex), a difference that was signifi cant ( P , .05) for the mild AD group. For all group comparisons, hippocampal volume showed signifi cantly greater capability to aid the discrimination of patients from controls than did entorhinal metabolism ( P , .001, AD vs HC group; P , .01, MCI vs HC group; and P , .05, SMCI vs HC group).…”

Section: Neuroradiogolgy: Prodromal and Early Alzheimer Diseasementioning

confidence: 49%

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Relative Capability of MR Imaging and FDG PET to Depict Changes Associated with Prodromal and Early Alzheimer Disease

McEvoy²,

et al. 2010

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For the Alzheimer's Disease Neuroimaging Initiative Purpose:To quantify the effect sizes of regional metabolic and morphometric measures in patients with preclinical and mild Alzheimer disease (AD) to aid in the identifi cation of noninvasive biomarkers for the early detection of AD. Materials and Methods:The study was conducted with institutional review board approval and in compliance with HIPAA regulations. Written informed consent was obtained from each participant or participant's legal guardian. Fluorine 18 fl uorodeoxyglucose (FDG) positron emission tomography (PET) and magnetic resonance (MR) imaging data were analyzed from 80 healthy control (HC) subjects, 68 individuals with AD, and 156 with amnestic mild cognitive impairment (MCI), 69 of whom had single-domain amnestic MCI.Regions of interest (ROIs) were derived after coregistering FDG PET and MR images by using high-throughput, subject-specifi c procedures. The Cohen d effect sizes were calculated for 42 predefi ned ROIs across the brain. Statistical comparison of the largest overall effect sizes for MR imaging and PET was performed. Metabolic effect sizes were determined with and without accounting for regional atrophy. Discriminative accuracy of ROIs showing the largest effect sizes were compared by calculating receiver operating characteristic curves. Results:For all disease groups, the hippocampus showed the largest morphometric effect size and the entorhinal cortex showed the largest metabolic effect size. In mild AD, the Cohen d effect size for hippocampal volume (1.92) was signifi cantly larger ( P , .05) than that for entorhinal metabolism (1.43). Regression of regional atrophy substantially reduced most metabolic effects. For all group comparisons, the areas under the receiver operating characteristic curves were signifi cantly larger for hippocampal volume than for entorhinal metabolism. Conclusion:The current results show no evidence that FDG PET is more sensitive than MR imaging to the degeneration occurring in preclinical and mild AD, suggesting that an MR imaging fi nding may be a more practical clinical biomarker for early detection of AD.q RSNA, 2010 Supplemental material: http://radiology.rsna.org/lookup /suppl

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Section: Neuroradiogolgy: Prodromal and Early Alzheimer Diseasesupporting

confidence: 88%

Section: Neuroradiogolgy: Prodromal and Early Alzheimer Diseasementioning

confidence: 49%

Relative Capability of MR Imaging and FDG PET to Depict Changes Associated with Prodromal and Early Alzheimer Disease

McEvoy²,

et al. 2010

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“…Systematic comparison of two imaging biomarkers requires caution because of rapidly evolving technology. For example, recently developed methods for subject-specific MRI segmentation have revealed subtle cortical thinning in a distribution similar to that seen with FDG (Walhovd et al 2009;Karow et al 2010). A continuing challenge is presented by the fact that FDG-PET data inherently contains volume information, and PET-based partial volume correction (e.g., with deconvolution [Tohka and Reilhac 2008]), may eventually be useful to disentangle FDG retention and structural loss.…”

Section: Brain Imaging In Alzheimer Diseasementioning

confidence: 99%

Brain Imaging in Alzheimer Disease

Johnson

Fox²,

Sperling³

et al. 2012

Cold Spring Harbor Perspectives in Medicine

573

375

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“…Previous publications on the same sample have found that the volumes of hippocampus, cortex and lateral ventricles in a subset of 6 healthy controls scanned at both sites showed strong intercorrelations of 0.99, 0.90, and 0.999 (all p < 0.05), respectively. Differences in cortical thickness were generally within ±0.1 mm across the brain surface [20,61]. Cortical reconstruction and volumetric segmentation were performed with the FreeSurfer image analysis suite version 4.5.0 (http://surfer.nmr.mgh.harvard.edu/), according to a previously published parcellation scheme [62,63].…”

Section: Methodsmentioning

confidence: 99%

“…Fludeoxyglucose positron emission tomography (FDG PET) and magnetic resonance imaging (MRI) are standard assessment modalities associated with regional alternations in incipient AD [17,18,19,20,21,22]. FDG PET is a functional marker of cortical glucose metabolism, and MRI gives a structural measure of grey matter density [23].…”

Section: Introductionmentioning

confidence: 99%

Convergent Results from Neuropsychology and from Neuroimaging in Patients with Mild Cognitive Impairment

Eliassen

Reinvang²,

Selnes³

et al. 2017

Dement Geriatr Cogn Disord

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Background/Aims: To investigate the correspondence between neuropsychological single measures and variation in fludeoxyglucose positron emission tomography (FDG PET) glucose metabolism and magnetic resonance imaging (MRI) cortical thickness in mild cognitive impairment (MCI) patients. Methods: Forty-two elderly controls and 73 MCI subjects underwent FDG PET and MRI scanning. Backward regression analyses with PET and MRI regions were used as dependent variables, while Rey Auditory Verbal Memory Test (RAVLT) recall, Trail Making Test B (TMT B), and a composite test score (RAVLT learning and immediate recall, TMT A, COWAT, and letter-number sequencing) were used as predictor variables. Results: The composite score predicted variation in cortical metabolism; supplementary analyses showed that TMT B was significantly correlated with PET metabolism as well. RAVLT and TMT B were significant predictors of variation in MRI cortical thickness. Conclusion: Our results indicate that RAVLT and TMT B are sensitive to variation in Alzheimer disease neuroimaging markers.

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Multimodal imaging in mild cognitive impairment: Metabolism, morphometry and diffusion of the temporal–parietal memory network

Cited by 83 publications

References 52 publications

Relative Capability of MR Imaging and FDG PET to Depict Changes Associated with Prodromal and Early Alzheimer Disease

Relative Capability of MR Imaging and FDG PET to Depict Changes Associated with Prodromal and Early Alzheimer Disease

Brain Imaging in Alzheimer Disease

Convergent Results from Neuropsychology and from Neuroimaging in Patients with Mild Cognitive Impairment

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