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  • 1
    In: Alzheimer's & Dementia, Wiley, Vol. 17, No. S4 ( 2021-12)
    Abstract: The NIA‐AA proposed ATN (Amyloid/Tau/Neurodegeneration) as a classification system for AD pathology. The Amyloid Cascade Hypothesis (ACH) implies a sequence across ATN groups that patients might undergo during transition from healthy towards AD: A‐T‐N‐→A+T‐N‐→A+T+N‐→A+T+N+. Here we assess the evidence for monotonic brain volume decline for this particular (Amyloid‐conversion first, Tau‐conversion second, N‐conversion last; therefore ‘ATN’) and alternative progressions (ANT, TAN, TNA, NAT, NTA) using Voxel‐based Morphometry (VBM) of brain anatomy in a large MRI sample. Method We used the DELCODE cohort of 437 subjects (49% female) which underwent lumbar puncture, MRI scanning and neuropsychological assessment. ATN classification was performed using (A+/‐) CSF‐Abeta42over40, (T+/‐) CSF‐phospho‐Tau, and (N+/‐) adjusted hippocampal volume. We compared voxel‐based model evidence for monotonic decline of gray matter volume across various sequences over ATN groups accounting for age, sex, education, TIV and WMH. The evidence of each progression was assessed using the Bayesian Information Criterion on voxel‐ and ROI‐level. First, face validity of the ACH transition trajectory A‐T‐N‐→A+T‐N‐→A+T+N‐→A+T+N+ for VBM was compared against 23 biologically less plausible (permuted) sequences among AD‐continuum ATN groups. Then we evaluated the evidence for 6 brain volume progressions from A‐T‐N‐ towards A+T+N+ (ATN, ANT, TAN, TNA, NAT, NTA) including also non‐AD continuum ATN groups. Result The ACH‐based progression A‐T‐N‐→A+T‐N‐→A+T+N‐→A+T+N+ is in line with cognitive decline and clinical diagnosis (Figure 1 & 2). It also has highest evidence in 9% of the gray matter voxels (especially MTL; Figure 3 & 4). Many (especially cortical) regions were compatible with alternative non‐monotonic volume progressions (‘AP 1’: 16%, ‘AP 2’: 14%; see Figure 3) over ACH progression sequence, compatible with early amyloid‐related tissue expansion or sampling effects due to brain‐reserve (Figure 5). Volume decline in 65% of voxels was more compatible with ATN/ANT progression (A flips first) when compared to alternative sequences (TAN, TNA, NAT, NTA). Conclusion Early Amyloid status conversion (before Tau and Neurodegeneration) is compatible with brain volume loss observed during AD progression. The ATN classification and the ACH are compatible with monotonic progress of MTL atrophy.
    Type of Medium: Online Resource
    ISSN: 1552-5260 , 1552-5279
    URL: Issue
    Language: English
    Publisher: Wiley
    Publication Date: 2021
    detail.hit.zdb_id: 2201940-6
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  • 2
    In: Alzheimer's Research & Therapy, Springer Science and Business Media LLC, Vol. 15, No. 1 ( 2023-03-13)
    Abstract: The NIA-AA proposed amyloid-tau-neurodegeneration (ATN) as a classification system for AD biomarkers. The amyloid cascade hypothesis (ACH) implies a sequence across ATN groups that patients might undergo during transition from healthy towards AD: A−T−N−➔A+T−N−➔A+T+N−➔A+T+N+. Here we assess the evidence for monotonic brain volume decline for this particular (amyloid-conversion first, tau-conversion second, N-conversion last) and alternative progressions using voxel-based morphometry (VBM) in a large cross-sectional MRI cohort. Methods We used baseline data of the DELCODE cohort of 437 subjects (127 controls, 168 SCD, 87 MCI, 55 AD patients) which underwent lumbar puncture, MRI scanning, and neuropsychological assessment. ATN classification was performed using CSF-Aβ42/Aβ40 (A+/−), CSF phospho-tau (T+/−), and adjusted hippocampal volume or CSF total-tau (N+/−). We compared voxel-wise model evidence for monotonic decline of gray matter volume across various sequences over ATN groups using the Bayesian Information Criterion (including also ROIs of Braak stages). First, face validity of the ACH transition sequence A−T−N−➔A+T−N−➔A+T+N−➔A+T+N+ was compared against biologically less plausible (permuted) sequences among AD continuum ATN groups. Second, we evaluated evidence for 6 monotonic brain volume progressions from A−T−N− towards A+T+N+ including also non-AD continuum ATN groups. Results The ACH-based progression A−T−N−➔A+T−N−➔A+T+N−➔A+T+N+ was consistent with cognitive decline and clinical diagnosis. Using hippocampal volume for operationalization of neurodegeneration (N), ACH was most evident in 9% of gray matter predominantly in the medial temporal lobe. Many cortical regions suggested alternative non-monotonic volume progressions over ACH progression groups, which is compatible with an early amyloid-related tissue expansion or sampling effects, e.g., due to brain reserve. Volume decline in 65% of gray matter was consistent with a progression where A status converts before T or N status (i.e., ACH/ANT) when compared to alternative sequences (TAN/TNA/NAT/NTA). Brain regions earlier affected by tau tangle deposition (Braak stage I-IV, MTL, limbic system) present stronger evidence for volume decline than late Braak stage ROIs (V/VI, cortical regions). Similar findings were observed when using CSF total-tau for N instead. Conclusion Using the ATN classification system, early amyloid status conversion (before tau and neurodegeneration) is associated with brain volume loss observed during AD progression. The ATN system and the ACH are compatible with monotonic progression of MTL atrophy. Trial registration DRKS00007966, 04/05/2015, retrospectively registered.
    Type of Medium: Online Resource
    ISSN: 1758-9193
    Language: English
    Publisher: Springer Science and Business Media LLC
    Publication Date: 2023
    detail.hit.zdb_id: 2506521-X
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  • 3
    In: Alzheimer's & Dementia, Wiley, Vol. 16, No. S5 ( 2020-12)
    Abstract: Subjective cognitive decline (SCD) has been proposed as an early symptomatic representation of Alzheimer’s disease (AD). Per definition SCD implies patient’s memory being subjectively impaired while broad neuropsychological indicators are still in normal range (Fig.1A). SCD might show early signs of atrophy in networks typically affected during AD disease progression. Among individuals with SCD, the prevalence of older adults who are on a declining AD trajectory are more frequent than in cognitively normal (CN) elderly. The key distinction between SCD and MCI would be a higher offset in memory ability in SCD and a larger proportion of individuals who have progressed further along the AD spectrum. This predicts that brain volume variability would be higher in SCD than in CN and non‐complaining older adults. Methods We used sMRI at 3T to quantify anatomical differences using VBM in the DELCODE cohort in a subsample of 755 nondemented elderly (including 221 CN, 376 SCD & 158 MCI). We characterise memory ability using a composite score based on factor modelling (Wolfsgruber et al., under review) of neuropsychological tests. We explore group differences and the association of memory to local brain morphometry using GLM and SPM. We further analyze variability of local volumes across groups using voxel‐based Brown‐Forsythe‐Tests. Results While there were significant volumetric differences of MCI but not in SCD as compared to healthy controls (Fig1 C left & right panel), volumetric variability (across subjects) was higher within the SCD (and MCI) as compared to CN in hippocampus (Fig. 2A). Individual differences in memory‐ability were positively associated with posterior hippocampal volume in SCD, but showed no association with brain volume in CN (Fig. 2B‐C). In MCI, variability in memory‐ability was also related to posterior hippocampal volume and in addition also to the volume of the anterior hippocampus and entorhinal cortex. Conclusions In terms of morphometric variability and the association between morphometric measures and memory ability, the SCD group shows partial overlap with MCI and is distinct to cognitively normal, non‐complaining older adults. The posterior hippocampal region could be an area that explains interindividual memory variability in early stages of the Alzheimer’s disease spectrum.
    Type of Medium: Online Resource
    ISSN: 1552-5260 , 1552-5279
    URL: Issue
    Language: English
    Publisher: Wiley
    Publication Date: 2020
    detail.hit.zdb_id: 2201940-6
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  • 4
    In: Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment, Elsevier BV, Vol. 614, No. 3 ( 2010-3), p. 483-496
    Type of Medium: Online Resource
    ISSN: 0168-9002
    RVK:
    Language: English
    Publisher: Elsevier BV
    Publication Date: 2010
    detail.hit.zdb_id: 1466532-3
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