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Crane PK, Groot C, Ossenkoppele R, Mukherjee S, Choi S, Lee M, Scollard P, Gibbons LE, Sanders RE, Trittschuh E, Saykin AJ, Mez J, Nakano C, Donald CM, Sohi H, Risacher S. Cognitively defined Alzheimer's dementia subgroups have distinct atrophy patterns. Alzheimers Dement 2024; 20:1739-1752. [PMID: 38093529 PMCID: PMC10984445 DOI: 10.1002/alz.13567] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/03/2023] [Revised: 10/16/2023] [Accepted: 11/03/2023] [Indexed: 03/03/2024]
Abstract
INTRODUCTION We sought to determine structural magnetic resonance imaging (MRI) characteristics across subgroups defined based on relative cognitive domain impairments using data from the Alzheimer's Disease Neuroimaging Initiative (ADNI) and to compare cognitively defined to imaging-defined subgroups. METHODS We used data from 584 people with Alzheimer's disease (AD) (461 amyloid positive, 123 unknown amyloid status) and 118 amyloid-negative controls. We used voxel-based morphometry to compare gray matter volume (GMV) for each group compared to controls and to AD-Memory. RESULTS There was pronounced bilateral lower medial temporal lobe atrophy with relative cortical sparing for AD-Memory, lower left hemisphere GMV for AD-Language, anterior lower GMV for AD-Executive, and posterior lower GMV for AD-Visuospatial. Formal asymmetry comparisons showed substantially more asymmetry in the AD-Language group than any other group (p = 1.15 × 10-10 ). For overlap between imaging-defined and cognitively defined subgroups, AD-Memory matched up with an imaging-defined limbic predominant group. DISCUSSION MRI findings differ across cognitively defined AD subgroups.
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Affiliation(s)
- Paul K. Crane
- Department of MedicineUniversity of WashingtonSeattleWashingtonUSA
| | - Colin Groot
- Clinical Memory Research UnitLund UniversityLundSweden
- Alzheimer centerAmsterdam UMC ‐ VU Medical CenterAmsterdamNetherlands
| | - Rik Ossenkoppele
- Clinical Memory Research UnitLund UniversityLundSweden
- Alzheimer centerAmsterdam UMC ‐ VU Medical CenterAmsterdamNetherlands
| | | | - Seo‐Eun Choi
- Department of MedicineUniversity of WashingtonSeattleWashingtonUSA
| | - Michael Lee
- Department of MedicineUniversity of WashingtonSeattleWashingtonUSA
| | - Phoebe Scollard
- Department of MedicineUniversity of WashingtonSeattleWashingtonUSA
| | - Laura E. Gibbons
- Department of MedicineUniversity of WashingtonSeattleWashingtonUSA
| | | | - Emily Trittschuh
- Department of Psychiatry and Behavioral SciencesUniversity of Washington, and Geriatrics ResearchEducation, and Clinical CenterVA Puget Sound Health Care SystemSeattleUSA
| | - Andrew J. Saykin
- Indiana Alzheimer's Disease Research CenterIndiana University School of MedicineIndianapolisUSA
- Department of Radiology and Imaging SciencesIndiana University School of MedicineIndianapolisUSA
| | - Jesse Mez
- Department of NeurologyBoston UniversityBostonMassachusettsUSA
| | - Connie Nakano
- Department of MedicineUniversity of WashingtonSeattleWashingtonUSA
| | | | - Harkirat Sohi
- Department of Biomedical Informatics and Medical EducationUniversity of WashingtonSeattleUSA
- Now Pacific Northwest National LaboratoryRichlandUSA
| | | | - Shannon Risacher
- Indiana Alzheimer's Disease Research CenterIndiana University School of MedicineIndianapolisUSA
- Department of Radiology and Imaging SciencesIndiana University School of MedicineIndianapolisUSA
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van der Schaar J, Visser LNC, Ket JCF, Groot C, Pijnenburg YAL, Scheltens P, Bredenoord AL, van den Hoven MA, van der Flier WM. Impact of sharing Alzheimer's disease biomarkers with individuals without dementia: A systematic review and meta-analysis of empirical data. Alzheimers Dement 2023; 19:5773-5794. [PMID: 37496313 DOI: 10.1002/alz.13410] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/07/2023] [Revised: 06/01/2023] [Accepted: 07/06/2023] [Indexed: 07/28/2023]
Abstract
INTRODUCTION We conducted a systematic literature review and meta-analysis of empirical evidence on expected and experienced implications of sharing Alzheimer's disease (AD) biomarker results with individuals without dementia. METHODS PubMed, Embase, APA PsycInfo, and Web of Science Core Collection were searched according to Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines. Results from included studies were synthesized, and quantitative data on psychosocial impact were meta-analyzed using a random-effects model. RESULTS We included 35 publications. Most personal stakeholders expressed interest in biomarker assessment. Learning negative biomarker results led to relief and sometimes frustration, while positive biomarkers induced anxiety but also clarity. Meta-analysis of five studies including 2012 participants (elevated amyloid = 1324 [66%], asymptomatic = 1855 [92%]) showed short-term psychological impact was not significant (random-effect estimate = 0.10, standard error = 0.23, P = 0.65). Most professional stakeholders valued biomarker testing, although attitudes and practices varied considerably. DISCUSSION Interest in AD biomarker testing was high and sharing their results did not cause psychological harm. HIGHLIGHTS Most personal stakeholders expressed interest in Alzheimer's disease biomarker assessment. Personal motivations included gaining insight, improving lifestyle, or preparing for the future. There was no short-term psychological impact of sharing biomarker status, implying it can be safe. Most professional stakeholders valued biomarker testing, believing the benefits outweigh the risk. Harmonized guidelines on biomarker testing and sharing results are required.
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Affiliation(s)
- Jetske van der Schaar
- Alzheimer Center Amsterdam, Department of Neurology, Vrije Universiteit Amsterdam, Amsterdam UMC location VUmc, Amsterdam, the Netherlands
- Amsterdam Neuroscience, Neurodegeneration, Amsterdam, the Netherlands
| | - Leonie N C Visser
- Alzheimer Center Amsterdam, Department of Neurology, Vrije Universiteit Amsterdam, Amsterdam UMC location VUmc, Amsterdam, the Netherlands
- Amsterdam Neuroscience, Neurodegeneration, Amsterdam, the Netherlands
- Department of Medical Psychology, Amsterdam UMC location University of Amsterdam/AMC, Amsterdam, the Netherlands
- Amsterdam Public Health, Quality of Care, Amsterdam, the Netherlands
- Division of Clinical Geriatrics, Center for Alzheimer Research, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Stockholm, Sweden
| | - Johannes C F Ket
- Medical Library, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
| | - Colin Groot
- Alzheimer Center Amsterdam, Department of Neurology, Vrije Universiteit Amsterdam, Amsterdam UMC location VUmc, Amsterdam, the Netherlands
- Amsterdam Neuroscience, Neurodegeneration, Amsterdam, the Netherlands
| | - Yolande A L Pijnenburg
- Alzheimer Center Amsterdam, Department of Neurology, Vrije Universiteit Amsterdam, Amsterdam UMC location VUmc, Amsterdam, the Netherlands
- Amsterdam Neuroscience, Neurodegeneration, Amsterdam, the Netherlands
| | - Philip Scheltens
- Alzheimer Center Amsterdam, Department of Neurology, Vrije Universiteit Amsterdam, Amsterdam UMC location VUmc, Amsterdam, the Netherlands
- Amsterdam Neuroscience, Neurodegeneration, Amsterdam, the Netherlands
- EQT Life Sciences, Amsterdam, the Netherlands
| | - Annelien L Bredenoord
- Erasmus School of Philosophy, Erasmus University Rotterdam, Rotterdam, the Netherlands
| | | | - Wiesje M van der Flier
- Alzheimer Center Amsterdam, Department of Neurology, Vrije Universiteit Amsterdam, Amsterdam UMC location VUmc, Amsterdam, the Netherlands
- Amsterdam Neuroscience, Neurodegeneration, Amsterdam, the Netherlands
- Department of Epidemiology & Data Sciences, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, the Netherlands
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Bocancea DI, Svenningsson AL, van Loenhoud AC, Groot C, Barkhof F, Strandberg O, Smith R, La Joie R, Rosen HJ, Pontecorvo MJ, Rabinovici GD, van der Flier WM, Hansson O, Ossenkoppele R. Determinants of cognitive and brain resilience to tau pathology: a longitudinal analysis. Brain 2023; 146:3719-3734. [PMID: 36967222 PMCID: PMC10473572 DOI: 10.1093/brain/awad100] [Citation(s) in RCA: 10] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/06/2022] [Revised: 02/03/2023] [Accepted: 02/23/2023] [Indexed: 09/03/2023] Open
Abstract
Mechanisms of resilience against tau pathology in individuals across the Alzheimer's disease spectrum are insufficiently understood. Longitudinal data are necessary to reveal which factors relate to preserved cognition (i.e. cognitive resilience) and brain structure (i.e. brain resilience) despite abundant tau pathology, and to clarify whether these associations are cross-sectional or longitudinal. We used a longitudinal study design to investigate the role of several demographic, biological and brain structural factors in yielding cognitive and brain resilience to tau pathology as measured with PET. In this multicentre study, we included 366 amyloid-β-positive individuals with mild cognitive impairment or Alzheimer's disease dementia with baseline 18F-flortaucipir-PET and longitudinal cognitive assessments. A subset (n = 200) additionally underwent longitudinal structural MRI. We used linear mixed-effects models with global cognition and cortical thickness as dependent variables to investigate determinants of cognitive resilience and brain resilience, respectively. Models assessed whether age, sex, years of education, APOE-ε4 status, intracranial volume (and cortical thickness for cognitive resilience models) modified the association of tau pathology with cognitive decline or cortical thinning. We found that the association between higher baseline tau-PET levels (quantified in a temporal meta-region of interest) and rate of cognitive decline (measured with repeated Mini-Mental State Examination) was adversely modified by older age (Stβinteraction = -0.062, P = 0.032), higher education level (Stβinteraction = -0.072, P = 0.011) and higher intracranial volume (Stβinteraction = -0.07, P = 0.016). Younger age, higher education and greater cortical thickness were associated with better cognitive performance at baseline. Greater cortical thickness was furthermore associated with slower cognitive decline independent of tau burden. Higher education also modified the negative impact of tau-PET on cortical thinning, while older age was associated with higher baseline cortical thickness and slower rate of cortical thinning independent of tau. Our analyses revealed no (cross-sectional or longitudinal) associations for sex and APOE-ε4 status on cognition and cortical thickness. In this longitudinal study of clinically impaired individuals with underlying Alzheimer's disease neuropathological changes, we identified education as the most robust determinant of both cognitive and brain resilience against tau pathology. The observed interaction with tau burden on cognitive decline suggests that education may be protective against cognitive decline and brain atrophy at lower levels of tau pathology, with a potential depletion of resilience resources with advancing pathology. Finally, we did not find major contributions of sex to brain nor cognitive resilience, suggesting that previous links between sex and resilience might be mainly driven by cross-sectional differences.
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Affiliation(s)
- Diana I Bocancea
- Alzheimer Center Amsterdam, Neurology, Vrije Universiteit Amsterdam, Amsterdam UMC location VUmc, 1081 HZ Amsterdam, The Netherlands
- Amsterdam Neuroscience, Neurodegeneration, 1081 HV Amsterdam, The Netherlands
| | | | - Anna C van Loenhoud
- Alzheimer Center Amsterdam, Neurology, Vrije Universiteit Amsterdam, Amsterdam UMC location VUmc, 1081 HZ Amsterdam, The Netherlands
- Amsterdam Neuroscience, Neurodegeneration, 1081 HV Amsterdam, The Netherlands
| | - Colin Groot
- Alzheimer Center Amsterdam, Neurology, Vrije Universiteit Amsterdam, Amsterdam UMC location VUmc, 1081 HZ Amsterdam, The Netherlands
- Amsterdam Neuroscience, Neurodegeneration, 1081 HV Amsterdam, The Netherlands
- Clinical Memory Research Unit, Lund University, 211 46 Lund, Sweden
| | - Frederik Barkhof
- Department of Radiology and Nuclear Medicine, Vrije Universiteit Amsterdam, Amsterdam UMC, 1081 HV Amsterdam, The Netherlands
- Queen Square Institute of Neurology and Center for Medical Image Computing, University College London, London WC1N 3BG, UK
| | - Olof Strandberg
- Clinical Memory Research Unit, Lund University, 211 46 Lund, Sweden
| | - Ruben Smith
- Clinical Memory Research Unit, Lund University, 211 46 Lund, Sweden
- Department of Neurology, Skåne University Hospital, 221 84 Lund, Sweden
| | - Renaud La Joie
- Department of Neurology, Memory and Aging Center, University of California, San Francisco, CA 94158, USA
| | - Howard J Rosen
- Department of Neurology, Memory and Aging Center, University of California, San Francisco, CA 94158, USA
| | | | - Gil D Rabinovici
- Department of Neurology, Memory and Aging Center, University of California, San Francisco, CA 94158, USA
- Department of Radiology and Biomedical Imaging, University of California, San Francisco, CA 94143, USA
- Molecular Biophysics and Integrated Bioimaging Division, Lawrence Berkeley National Laboratory, Berkeley, CA 94720, USA
| | - Wiesje M van der Flier
- Alzheimer Center Amsterdam, Neurology, Vrije Universiteit Amsterdam, Amsterdam UMC location VUmc, 1081 HZ Amsterdam, The Netherlands
- Amsterdam Neuroscience, Neurodegeneration, 1081 HV Amsterdam, The Netherlands
- Department of Epidemiology and Biostatistics, Vrije Universiteit Amsterdam, Amsterdam UMC, 1081 HV Amsterdam, The Netherlands
| | - Oskar Hansson
- Clinical Memory Research Unit, Lund University, 211 46 Lund, Sweden
- Memory Clinic, Skåne University Hospital, 214 28 Malmö, Sweden
| | - Rik Ossenkoppele
- Alzheimer Center Amsterdam, Neurology, Vrije Universiteit Amsterdam, Amsterdam UMC location VUmc, 1081 HZ Amsterdam, The Netherlands
- Amsterdam Neuroscience, Neurodegeneration, 1081 HV Amsterdam, The Netherlands
- Clinical Memory Research Unit, Lund University, 211 46 Lund, Sweden
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Santillo AF, Leuzy A, Honer M, Landqvist Waldö M, Tideman P, Harper L, Ohlsson T, Moes S, Giannini L, Jögi J, Groot C, Ossenkoppele R, Strandberg O, van Swieten J, Smith R, Hansson O. [ 18F]RO948 tau positron emission tomography in genetic and sporadic frontotemporal dementia syndromes. Eur J Nucl Med Mol Imaging 2023; 50:1371-1383. [PMID: 36513817 PMCID: PMC10027632 DOI: 10.1007/s00259-022-06065-4] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/25/2022] [Accepted: 11/28/2022] [Indexed: 12/15/2022]
Abstract
PURPOSE To examine [18F]RO948 retention in FTD, sampling the underlying protein pathology heterogeneity. METHODS A total of 61 individuals with FTD (n = 35), matched cases of AD (n = 13) and Aβ-negative cognitively unimpaired individuals (n = 13) underwent [18F]RO948PET and MRI. FTD included 21 behavioral variant FTD (bvFTD) cases, 11 symptomatic C9orf72 mutation carriers, one patient with non-genetic bvFTD-ALS, one individual with bvFTD due to a GRN mutation, and one due to a MAPT mutation (R406W). Tracer retention was examined using a region-of-interest and voxel-wise approaches. Two individuals (bvFTD due to C9orf72) underwent postmortem neuropathological examination. Tracer binding was additionally assessed in vitro using [3H]RO948 autoradiography in six separate cases. RESULTS [18F]RO948 retention across ROIs was clearly lower than in AD and comparable to that in Aβ-negative cognitively unimpaired individuals. Only minor loci of tracer retention were seen in bvFTD; these did not overlap with the observed cortical atrophy in the cases, the expected pattern of atrophy, nor the expected or verified protein pathology distribution. Autoradiography analyses showed no specific [3H]RO948 binding. The R406W MAPT mutation carriers were clear exceptions with AD-like retention levels and specific in-vitro binding. CONCLUSION [18F]RO948 uptake is not significantly increased in the majority of FTD patients, with a clear exception being specific MAPT mutations.
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Affiliation(s)
- Alexander F Santillo
- Department of Clinical Sciences, Clinical Memory Research Unit, Faculty of Medicine, Lund University, Lund/Malmö, Sweden.
- Memory Clinic, Skåne University Hospital, SE-20502, Malmö, Sweden.
| | - Antoine Leuzy
- Department of Clinical Sciences, Clinical Memory Research Unit, Faculty of Medicine, Lund University, Lund/Malmö, Sweden
| | - Michael Honer
- Pharma Research and Early Development, Roche Innovation Center Basel, F. Hoffmann-La Roche, Basel, Switzerland
| | - Maria Landqvist Waldö
- Clinical Sciences Helsingborg, Department of Clinical Sciences Lund, Lund University, Lund, Sweden
| | - Pontus Tideman
- Department of Clinical Sciences, Clinical Memory Research Unit, Faculty of Medicine, Lund University, Lund/Malmö, Sweden
| | - Luke Harper
- Department of Clinical Sciences, Clinical Memory Research Unit, Faculty of Medicine, Lund University, Lund/Malmö, Sweden
| | - Tomas Ohlsson
- Radiation Physics, Skane University Hospital, Scania, Sweden
| | - Svenja Moes
- Pharma Research and Early Development, Roche Innovation Center Basel, F. Hoffmann-La Roche, Basel, Switzerland
| | - Lucia Giannini
- Alzheimer Center, Department of Neurology, Erasmus Medical Center, Rotterdam, The Netherlands
| | - Jonas Jögi
- Clinical Physiology, Department of Clinical Sciences Lund, Lund University, Lund, Sweden
| | - Colin Groot
- Department of Clinical Sciences, Clinical Memory Research Unit, Faculty of Medicine, Lund University, Lund/Malmö, Sweden
| | - Rik Ossenkoppele
- Department of Clinical Sciences, Clinical Memory Research Unit, Faculty of Medicine, Lund University, Lund/Malmö, Sweden
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands
| | - Olof Strandberg
- Department of Clinical Sciences, Clinical Memory Research Unit, Faculty of Medicine, Lund University, Lund/Malmö, Sweden
| | - John van Swieten
- Alzheimer Center, Department of Neurology, Erasmus Medical Center, Rotterdam, The Netherlands
| | - Ruben Smith
- Department of Clinical Sciences, Clinical Memory Research Unit, Faculty of Medicine, Lund University, Lund/Malmö, Sweden
- Department of Neurology, Skåne University Hospital, Lund, Sweden
| | - Oskar Hansson
- Department of Clinical Sciences, Clinical Memory Research Unit, Faculty of Medicine, Lund University, Lund/Malmö, Sweden
- Memory Clinic, Skåne University Hospital, SE-20502, Malmö, Sweden
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5
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Groot C, Cicognola C, Bali D, Triana-Baltzer G, Dage JL, Pontecorvo MJ, Kolb HC, Ossenkoppele R, Janelidze S, Hansson O. Diagnostic and prognostic performance to detect Alzheimer’s disease and clinical progression of a novel assay for plasma p-tau217. Alzheimers Res Ther 2022; 14:67. [PMID: 35568889 PMCID: PMC9107269 DOI: 10.1186/s13195-022-01005-8] [Citation(s) in RCA: 15] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/04/2022] [Accepted: 04/08/2022] [Indexed: 12/17/2022]
Abstract
Background Recent advances in disease-modifying treatments highlight the need for accurately identifying individuals in early Alzheimer’s disease (AD) stages and for monitoring of treatment effects. Plasma measurements of phosphorylated tau (p-tau) are a promising biomarker for AD, but different assays show varying diagnostic and prognostic accuracies. The objective of this study was to determine the clinical performance of a novel plasma p-tau217 (p-tau217) assay, p-tau217+Janssen, and perform a head-to-head comparison to an established assay, plasma p-tau217Lilly, within two independent cohorts. Methods The study consisted of two cohorts, cohort 1 (27 controls and 25 individuals with mild-cognitive impairment [MCI]) and cohort 2 including 147 individuals with MCI at baseline who were followed for an average of 4.92 (SD 2.09) years. Receiver operating characteristic analyses were used to assess the performance of both assays to detect amyloid-β status (+/−) in CSF, distinguish MCI from controls, and identify subjects who will convert from MCI to AD dementia. General linear and linear mixed-effects analyses were used to assess the associations between p-tau and baseline, and annual change in Mini-Mental State Examination (MMSE) scores. Spearman correlations were used to assess the associations between the two plasma measures, and Bland-Altmann plots were examined to assess the agreement between the assays. Results Both assays showed similar performance in detecting amyloid-β status in CSF (plasma p-tau217+Janssen AUC = 0.91 vs plasma p-tau217Lilly AUC = 0.89), distinguishing MCI from controls (plasma p-tau217+Janssen AUC = 0.91 vs plasma p-tau217Lilly AUC = 0.91), and predicting future conversion from MCI to AD dementia (plasma p-tau217+Janssen AUC = 0.88 vs p-tau217Lilly AUC = 0.89). Both assays were similarly related to baseline (plasma p-tau217+Janssen rho = −0.39 vs p-tau217Lilly rho = −0.35), and annual change in MMSE scores (plasma p-tau217+Janssenr = −0.45 vs p-tau217Lillyr = −0.41). Correlations between the two plasma measures were rho = 0.69, p < 0.001 in cohort 1 and rho = 0.70, p < 0.001 in cohort 2. Bland-Altmann plots revealed good agreement between plasma p-tau217+Janssen and plasma p-tau217Lilly in both cohorts (cohort 1, 51/52 [98%] within 95%CI; cohort 2, 139/147 [95%] within 95%CI). Conclusions Taken together, our results indicate good diagnostic and prognostic performance of the plasma p-tau217+Janssen assay, similar to the p-tau217Lilly assay. Supplementary Information The online version contains supplementary material available at 10.1186/s13195-022-01005-8.
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Groot C, Smith R, Stomrud E, Binette AP, Leuzy A, Wuestefeld A, Wisse LEM, Palmqvist S, Janelidze S, Strandberg O, Ossenkoppele R, Hansson O. A biomarker profile of elevated CSF p‐tau with normal tau PET is associated with increased tau accumulation rates on PET in early Alzheimer’s disease. Alzheimers Dement 2022. [DOI: 10.1002/alz.063622] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
Affiliation(s)
- Colin Groot
- Clinical Memory Research Unit, Lund University Lund Sweden
| | - Ruben Smith
- Clinical Memory Research Unit, Lund University Malmö Sweden
| | - Erik Stomrud
- Memory Clinic, Skåne University Hospital Malmö Sweden
| | | | - Antoine Leuzy
- Memory Clinic, Skåne University Hospital Lund Sweden
| | | | | | | | - Shorena Janelidze
- Clinical Memory Research Unit, Department of Clinical Sciences, Malmö, Lund University, Malmö SI Sweden
| | | | - Rik Ossenkoppele
- Lund University Lund Sweden
- Alzheimer Center Amsterdam, Department of Neurology Neuroscience, Vrije Universiteit Amsterdam UMC, Amsterdam Amsterdam Amsterdam Netherlands
| | - Oskar Hansson
- Clinical Memory Research Unit, Lund University Malmö Sweden
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Groot C, Smith R, Stomrud E, Binette AP, Leuzy A, Wuestefeld A, Wisse LEM, Palmqvist S, Janelidze S, Strandberg O, Ossenkoppele R, Hansson O. A biomarker profile of elevated CSF p‐tau with normal tau PET is associated with increased tau accumulation rates on PET in early Alzheimer’s disease. Alzheimers Dement 2022. [DOI: 10.1002/alz.065666] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
Affiliation(s)
- Colin Groot
- Clinical Memory Research Unit, Lund University Malmö Sweden
| | - Ruben Smith
- Clinical Memory Research Unit, Lund University Malmö Sweden
| | - Erik Stomrud
- Clinical Memory Research Unit, Lund University Malmö Sweden
| | | | - Antoine Leuzy
- Memory Clinic, Skåne University Hospital Lund Sweden
| | | | | | | | - Shorena Janelidze
- Clinical Memory Research Unit, Department of Clinical Sciences, Malmö, Lund University Malmö SI Sweden
| | | | - Rik Ossenkoppele
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC Amsterdam Netherlands
- Clinical Memory Research Unit, Lund University, Sweden Lund Sweden
| | - Oskar Hansson
- Clinical Memory Research Unit, Lund University Malmö Sweden
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Groot C, Cicognola C, Bali D, Triana-Baltzer G, Dage JL, Pontecorvo MJ, Kolb HC, Ossenkoppele R, Janelidze S, Hansson O. Correction: Diagnostic and prognostic performance to detect Alzheimer’s disease and clinical progression of a novel assay for plasma p-tau217. Alzheimers Res Ther 2022; 14:82. [PMID: 35698175 PMCID: PMC9190141 DOI: 10.1186/s13195-022-01023-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
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Groot C, Smith R, Stomrud E, Binette AP, Leuzy A, Wuestefeld A, Wisse LEM, Palmqvist S, Mattsson-Carlgren N, Janelidze S, Strandberg O, Ossenkoppele R, Hansson O. Phospho-tau with subthreshold tau-PET predicts increased tau accumulation rates in amyloid-positive individuals. Brain 2022; 146:1580-1591. [PMID: 36084009 PMCID: PMC10115173 DOI: 10.1093/brain/awac329] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/05/2022] [Revised: 08/18/2022] [Accepted: 08/20/2022] [Indexed: 11/12/2022] Open
Abstract
Abstract
Different tau biomarkers become abnormal at different stages of Alzheimer’s disease, with CSF phospho-tau typically becoming elevated at subthreshold levels of tau-PET binding. To capitalize on the temporal order of tau biomarker-abnormality and capture the earliest changes of tau accumulation, we implemented an observational study design to examine longitudinal changes in Tau-PET, cortical thickness and cognitive decline in amyloid-β-positive (A+) individuals with elevated CSF P-tau levels (P+) but subthreshold Tau-PET retention (T-). To this end, individuals without dementia (i.e., cognitively unimpaired or mild cognitive impairment, N = 231) were selected from the BioFINDER-2 study. Amyloid-β-positive (A+) individuals were categorized into biomarker groups based on cut-offs for abnormal CSF P-tau217 and [18F]RO948 (Tau) PET, yielding groups of tau-concordant-negative (A + P-T-; n = 30), tau-discordant (i.e., A + P+T-; n = 48) and tau-concordant-positive (A + P+T+; n = 18) individuals. In addition, 135 amyloid-β-negative, tau-negative, cognitively unimpaired individuals served as controls. Differences in annual change in regional Tau-PET, cortical thickness and cognition between the groups were assessed using general linear models, adjusted for age, sex, clinical diagnosis and (for cognitive measures only) education. Mean follow-up time was ∼2 years. Longitudinal increase in Tau-PET was faster in the A + P+T- group than in the control and A + P-T- groups across medial temporal and neocortical regions, with the highest accumulation rates in the medial temporal lobe. The A + P+T- group showed a slower rate of increases in tau-PET compared to the A + P+T+ group, primarily in neocortical regions. We did not detect differences in yearly change in cortical thickness or in cognitive decline between the A + P+T- and A + P-T- groups. The A + P+T+ group, however, showed faster cognitive decline compared to all other groups. Altogether, these findings suggest that the A + P+T- biomarker profile in persons without dementia is associated with an isolated effect on increased Tau-PET accumulation rates but not on cortical thinning and cognitive decline. While this suggests that the tau-discordant biomarker profile is not strongly associated with short-term clinical decline, this group does represent an interesting population for monitoring effects of interventions with disease modifying agents on tau accumulation in early Alzheimer’s disease, and for examining the emergence of tau aggregates in Alzheimer’s disease. Further, we suggest to update the AT(N) criteria for Alzheimer’s disease biomarker classification to APT(N).
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Affiliation(s)
- Colin Groot
- Clinical Memory Research Unit, Department of Clinical Sciences in Malmö, Lund University , Sweden
- Alzheimer center, Amsterdam UMC location Vumc , Amsterdam , The Netherlands
| | - Ruben Smith
- Clinical Memory Research Unit, Department of Clinical Sciences in Malmö, Lund University , Sweden
- Department of Neurology, Skåne University Hospital, Lund University , Lund , Sweden
| | - Erik Stomrud
- Clinical Memory Research Unit, Department of Clinical Sciences in Malmö, Lund University , Sweden
- Memory Clinic, Skåne University Hospital , Sweden
| | - Alexa Pichet Binette
- Clinical Memory Research Unit, Department of Clinical Sciences in Malmö, Lund University , Sweden
| | - Antoine Leuzy
- Clinical Memory Research Unit, Department of Clinical Sciences in Malmö, Lund University , Sweden
| | - Anika Wuestefeld
- Clinical Memory Research Unit, Department of Clinical Sciences in Malmö, Lund University , Sweden
| | - Laura E M Wisse
- Department of Diagnostic Radiology, Lund University , Lund , Sweden
| | - Sebastian Palmqvist
- Clinical Memory Research Unit, Department of Clinical Sciences in Malmö, Lund University , Sweden
- Memory Clinic, Skåne University Hospital , Sweden
| | - Niklas Mattsson-Carlgren
- Clinical Memory Research Unit, Department of Clinical Sciences in Malmö, Lund University , Sweden
- Department of Neurology, Skåne University Hospital, Lund University , Lund , Sweden
- Wallenberg Center for Molecular Medicine, Lund University , Lund , Sweden
| | - Shorena Janelidze
- Clinical Memory Research Unit, Department of Clinical Sciences in Malmö, Lund University , Sweden
| | - Olof Strandberg
- Clinical Memory Research Unit, Department of Clinical Sciences in Malmö, Lund University , Sweden
| | - Rik Ossenkoppele
- Clinical Memory Research Unit, Department of Clinical Sciences in Malmö, Lund University , Sweden
- Alzheimer center, Amsterdam UMC location Vumc , Amsterdam , The Netherlands
| | - Oskar Hansson
- Clinical Memory Research Unit, Department of Clinical Sciences in Malmö, Lund University , Sweden
- Memory Clinic, Skåne University Hospital , Sweden
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10
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Groot C, Holstege H, Ossenkoppele R. Do genetic factors contribute to sex-specific differences in resilience to amyloid pathology? Brain 2022; 145:2239-2241. [PMID: 35726881 PMCID: PMC9337802 DOI: 10.1093/brain/awac216] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/13/2022] [Accepted: 06/13/2022] [Indexed: 11/26/2022] Open
Affiliation(s)
| | - Henne Holstege
- Alzheimer Center Amsterdam, Neurology, Vrije Universiteit Amsterdam,
Amsterdam UMC location VUmc, Amsterdam, The Netherlands
- Amsterdam Neuroscience, Neurodegeneration,
Amsterdam, The
Netherlands
- Genomics of Neurodegenerative Diseases and Aging, Human Genetics, Vrije
Universiteit Amsterdam, Amsterdam UMC location VUmc,
Amsterdam, The
Netherlands
| | - Rik Ossenkoppele
- Alzheimer Center Amsterdam, Neurology, Vrije Universiteit Amsterdam,
Amsterdam UMC location VUmc, Amsterdam, The Netherlands
- Amsterdam Neuroscience, Neurodegeneration,
Amsterdam, The
Netherlands
- Lund University, Clinical Memory Research Unit,
Lund, Sweden
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11
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Ulugut H, Trieu C, Groot C, van 't Hooft JJ, Tijms BM, Scheltens P, Ossenkoppele R, Barkhof F, van den Heuvel OA, Pijnenburg YAL. Overlap of Neuroanatomical Involvement in Frontotemporal Dementia and Primary Psychiatric Disorders: A Meta-analysis. Biol Psychiatry 2022; 93:820-828. [PMID: 35965106 DOI: 10.1016/j.biopsych.2022.05.028] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/12/2022] [Revised: 04/05/2022] [Accepted: 05/31/2022] [Indexed: 11/27/2022]
Abstract
BACKGROUND Despite significant symptomatic overlap between behavioral variant frontotemporal dementia (bvFTD) and primary psychiatric disorders (PPDs), a potential overlap in their structural anatomical changes has not been studied systematically. METHODS In this magnetic resonance imaging-based meta-analysis, we included studies on bvFTD, schizophrenia, bipolar disorder, and autism spectrum disorder that 1) used voxel-based morphometry analysis to assess regional gray matter volumes (GMVs) and 2) reported the coordinates of the regional GMV. Separate analyses were performed comparing clusters of coordinate-based changes in the GMVs (n = 24,183) between patients and control subjects, and overlapping brain regions between bvFTD and each PPD were examined. RESULTS We found that GMV alterations in the prefrontal and anterior cingulate cortices, temporal lobe, amygdala, and insula comprise the transdiagnostic brain alterations in bvFTD and PPD. CONCLUSIONS Our meta-analysis revealed significant anatomical overlap that paves the way for future investigations of shared pathophysiological pathways, and our cross-disorder approach would provide new insights to better understand the relationship between bvFTD and PPD.
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Affiliation(s)
- Hulya Ulugut
- Departments of Neurology, Alzheimer Center Amsterdam, Amsterdam Neuroscience, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands.
| | - Calvin Trieu
- Departments of Neurology, Alzheimer Center Amsterdam, Amsterdam Neuroscience, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - Colin Groot
- Departments of Neurology, Alzheimer Center Amsterdam, Amsterdam Neuroscience, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - Jochum J van 't Hooft
- Departments of Neurology, Alzheimer Center Amsterdam, Amsterdam Neuroscience, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - Betty M Tijms
- Departments of Neurology, Alzheimer Center Amsterdam, Amsterdam Neuroscience, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - Philip Scheltens
- Departments of Neurology, Alzheimer Center Amsterdam, Amsterdam Neuroscience, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - Rik Ossenkoppele
- Departments of Neurology, Alzheimer Center Amsterdam, Amsterdam Neuroscience, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands; Clinical Memory Research Unit, Lunds Universitet, Lund, Sweden
| | - Frederik Barkhof
- Radiology and Nuclear Medicine, Alzheimer Center Amsterdam, Amsterdam Neuroscience, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands; University College London, Institutes of Neurology and Healthcare Engineering, London, United Kingdom
| | - Odile A van den Heuvel
- Department of Psychiatry, Department of Anatomy and Neurosciences, Amsterdam Neuroscience, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - Yolande A L Pijnenburg
- Departments of Neurology, Alzheimer Center Amsterdam, Amsterdam Neuroscience, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
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12
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Groot C, Villeneuve S, Smith R, Hansson O, Ossenkoppele R. Tau PET Imaging in Neurodegenerative Disorders. J Nucl Med 2022; 63:20S-26S. [PMID: 35649647 DOI: 10.2967/jnumed.121.263196] [Citation(s) in RCA: 16] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/15/2021] [Revised: 03/09/2022] [Indexed: 11/16/2022] Open
Abstract
The advent of PET ligands that bind tau pathology has enabled the quantification and visualization of tau pathology in aging and in Alzheimer disease (AD). There is strong evidence from neuropathologic studies that the most widely used tau PET tracers (i.e., 18F-flortaucipir, 18F-MK6240, 18F-RO948, and 18F-PI2620) bind tau aggregates formed in AD in the more advanced (i.e., ≥IV) Braak stages. However, tracer binding in most non-AD tauopathies is weaker and overlaps to a large extent with known off-target binding regions, limiting the quantification and visualization of non-AD tau pathology in vivo. Off-target binding is generally present in the substantia nigra, basal ganglia, pituitary, choroid plexus, longitudinal sinuses, meninges, or skull in a tracer-specific manner. Most cross-sectional studies use the inferior aspect of the cerebellar gray matter as a reference region, whereas for longitudinal analyses, an eroded white matter reference region is sometimes selected. No consensus has yet been reached on whether to use partial-volume correction of tau PET data. Although an increased neocortical tau PET signal is rare in cognitively unimpaired individuals, even in amyloid-β-positive cases, such a signal holds important prognostic information because preliminary data suggest that an elevated tau PET signal predicts cognitive decline over time. Also, in symptomatic stages of AD (i.e., mild cognitive impairment or AD dementia), tau PET shows great potential as a prognostic marker because an elevated baseline tau PET retention forecasts future cognitive decline and brain atrophy. For differential diagnostic use, the primary utility of tau PET is to differentiate AD dementia from other neurodegenerative diseases, as is in line with the conditions for the approval of 18F-flortaucipir by the U.S. Food and Drug Administration for clinical use. The differential diagnostic performance drops substantially at the mild-cognitive-impairment stage of AD, and there is no sufficient evidence for detection of sporadic non-AD primary tauopathies at the individual level for any of the currently available tau PET tracers. In conclusion, while the field is currently addressing outstanding methodologic issues, tau PET is gradually moving toward clinical application as a diagnostic and possibly prognostic marker in dementia expert centers and as a tool for selecting participants, assessing target engagement, and monitoring treatment effects in clinical trials.
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Affiliation(s)
- Colin Groot
- Clinical Memory Research Unit, Lund University, Lund, Sweden.,Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Amsterdam UMC, Location VUMC, Amsterdam, The Netherlands
| | - Sylvia Villeneuve
- Department of Psychiatry, Faculty of Medicine, McGill University, Montreal, Canada.,Douglas Mental Health University Institute, Montreal, Canada.,McConnell Brain Imaging Centre, Montreal Neurological Institute, Montreal, Canada; and
| | - Ruben Smith
- Clinical Memory Research Unit, Lund University, Lund, Sweden.,Memory Clinic, Skåne University Hospital, Malmö, Sweden
| | - Oskar Hansson
- Clinical Memory Research Unit, Lund University, Lund, Sweden.,Memory Clinic, Skåne University Hospital, Malmö, Sweden
| | - Rik Ossenkoppele
- Clinical Memory Research Unit, Lund University, Lund, Sweden; .,Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Amsterdam UMC, Location VUMC, Amsterdam, The Netherlands
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13
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Krishnadas N, Doré V, Groot C, Lamb F, Bourgeat P, Burnham SC, Huang K, Goh AMY, Masters CL, Villemagne VL, Rowe CC. Mesial temporal tau in amyloid-β-negative cognitively normal older persons. Alzheimers Res Ther 2022; 14:51. [PMID: 35395950 PMCID: PMC8991917 DOI: 10.1186/s13195-022-00993-x] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/17/2021] [Accepted: 03/23/2022] [Indexed: 11/17/2022]
Abstract
BACKGROUND Tau deposition in the mesial temporal lobe (MTL) in the absence of amyloid-β (Aβ-) occurs with aging. The tau PET tracer 18F-MK6240 has low non-specific background binding so is well suited to exploration of early-stage tau deposition. The aim of this study was to investigate the associations between MTL tau, age, hippocampal volume (HV), cognition, and neocortical tau in Aβ- cognitively unimpaired (CU) individuals. METHODS One hundred and ninety-nine Aβ- participants (Centiloid < 25) who were CU underwent 18F-MK6240 PET at age 75 ± 5.2 years. Tau standardized uptake value ratio (SUVR) was estimated in mesial temporal (Me), temporoparietal (Te), and rest of the neocortex (R) regions and four Me sub-regions. Tau SUVR were analyzed as continuous variables and compared between high and low MTL SUVR groups. RESULTS In this cohort with a stable clinical classification of CU for a mean of 5.3 years prior to and at the time of tau PET, MTL tau was visually observed in 9% of the participants and was limited to Braak stages I-II. MTL tau was correlated with age (r = 0.24, p < 0.001). Age contributed to the variance in cognitive scores but MTL tau did not. MTL tau was not greater with subjective memory complaint, nor was there a correlation between MTL tau and Aβ Centiloid value, but high tau was associated with smaller HV. Participants with MTL tau had higher tau SUVR in the neocortex but this was driven by the cerebellar reference region and was not present when using white matter normalization. CONCLUSIONS In an Aβ- CU cohort, tau tracer binding in the mesial temporal lobe was age-related and associated with smaller hippocampi, but not with subjective or objective cognitive impairment.
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Affiliation(s)
- Natasha Krishnadas
- Florey Department of Neurosciences & Mental Health, The University of Melbourne, Parkville, VIC, 3052, Australia
- Department of Molecular Imaging & Therapy, Austin Health, 145 Studley Rd, Heidelberg, VIC, 3084, Australia
| | - Vincent Doré
- Department of Molecular Imaging & Therapy, Austin Health, 145 Studley Rd, Heidelberg, VIC, 3084, Australia
- Health and Biosecurity Flagship, The Australian eHealth Research Centre, Melbourne, Victoria, Australia
| | - Colin Groot
- Department of Molecular Imaging & Therapy, Austin Health, 145 Studley Rd, Heidelberg, VIC, 3084, Australia
| | - Fiona Lamb
- Department of Molecular Imaging & Therapy, Austin Health, 145 Studley Rd, Heidelberg, VIC, 3084, Australia
| | - Pierrick Bourgeat
- Health and Biosecurity Flagship, The Australian eHealth Research Centre, Brisbane, QLD, Australia
| | - Samantha C Burnham
- Health and Biosecurity Flagship, The Australian eHealth Research Centre, Melbourne, Victoria, Australia
| | - Kun Huang
- Department of Molecular Imaging & Therapy, Austin Health, 145 Studley Rd, Heidelberg, VIC, 3084, Australia
| | - Anita M Y Goh
- Department of Psychiatry, The University of Melbourne, Parkville, VIC, 3010, Australia
- National Ageing Research Institute, Parkville, VIC, 3052, Australia
| | - Colin L Masters
- Florey Institute of Neuroscience & Mental Health, Parkville, VIC, 3052, Australia
| | | | - Christopher C Rowe
- Florey Department of Neurosciences & Mental Health, The University of Melbourne, Parkville, VIC, 3052, Australia.
- Department of Molecular Imaging & Therapy, Austin Health, 145 Studley Rd, Heidelberg, VIC, 3084, Australia.
- Florey Institute of Neuroscience & Mental Health, Parkville, VIC, 3052, Australia.
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14
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van Loenhoud AC, Groot C, Bocancea DI, Barkhof F, Teunissen C, Scheltens P, van de Flier WM, Ossenkoppele R. Association of Education and Intracranial Volume With Cognitive Trajectories and Mortality Rates Across the Alzheimer Disease Continuum. Neurology 2022; 98:e1679-e1691. [PMID: 35314498 PMCID: PMC9052567 DOI: 10.1212/wnl.0000000000200116] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/11/2021] [Accepted: 01/11/2022] [Indexed: 12/04/2022] Open
Abstract
Objective To investigate relationships of education and intracranial volume (ICV) (factors related to cognitive and brain reserve, respectively) with cognitive trajectories and mortality in individuals with biomarker-defined Alzheimer disease (AD). Methods We selected 1,298 β-amyloid–positive memory clinic patients with subjective cognitive decline (SCD, n = 142), mild cognitive impairment (MCI, n = 274), or AD dementia (n = 882) from the Amsterdam Dementia Cohort. All participants underwent baseline MRI and neuropsychological assessment, and 68% received cognitive follow-up (median 2.3 years, interquartile range 2.4). Mortality data were collected from the Central Public Administration. In the total sample and stratified by disease stage (i.e., SCD/MCI vs dementia), we examined education and ICV as predictors of baseline and longitudinal cognitive performance on 5 cognitive domains (memory, attention, executive, language, and visuospatial functions; linear mixed models) and time to death (Cox proportional hazard models). Analyses were adjusted for age, sex, whole brain gray matter atrophy, and MRI field strength. Results Education and ICV showed consistent positive associations with baseline cognition across disease stages. Longitudinally, we observed a relationship between higher education and faster cognitive decline among patients with dementia on global cognition, memory, executive function, and language (range β = −0.06 to −0.13; all p < 0.05). Furthermore, in the total sample, both higher education and larger ICV were related to lower mortality risk (hazard ratio 0.84 and 0.82, respectively; p < 0.05). Discussion In this β-amyloid–positive memory clinic sample, both cognitive and brain reserve were positively associated with baseline cognition, whereas only education was related to longitudinal cognition (i.e., accelerated decline among more highly educated patients with dementia). Higher education and ICV both moderately attenuated overall mortality risk in AD.
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Affiliation(s)
- Anna C van Loenhoud
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands
| | - Colin Groot
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands
| | - Diana I Bocancea
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands
| | - Frederik Barkhof
- Department of Radiology and Nuclear Medicine, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands.,Queen Square Institute of Neurology and Center for Medical Image Computing, University College London, United Kingdom
| | - Charlotte Teunissen
- Neurochemistry Laboratory, Department of Clinical Chemistry, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands
| | - Philip Scheltens
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands
| | - Wiesje M van de Flier
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands.,Department of Epidemiology and Biostatistics, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands
| | - Rik Ossenkoppele
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands.,Clinical Memory Research Unit, Lund University, Lund, Sweden
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15
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Salvadó G, Ferreira D, Operto G, Cumplido-Mayoral I, Arenaza-Urquijo EM, Cacciaglia R, Falcon C, Vilor-Tejedor N, Minguillon C, Groot C, van der Flier WM, Barkhof F, Scheltens P, Ossenkoppele R, Kern S, Zettergren A, Skoog I, Hort J, Stomrud E, van Westen D, Hansson O, Molinuevo JL, Wahlund LO, Westman E, Gispert JD. The protective gene dose effect of the APOE ε2 allele on gray matter volume in cognitively unimpaired individuals. Alzheimers Dement 2021; 18:1383-1395. [PMID: 34877786 PMCID: PMC9542211 DOI: 10.1002/alz.12487] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/30/2021] [Revised: 06/23/2021] [Accepted: 09/01/2021] [Indexed: 11/07/2022]
Abstract
INTRODUCTION Harboring two copies of the apolipoprotein E (APOE) ε2 allele strongly protects against Alzheimer's disease (AD). However, the effect of this genotype on gray matter (GM) volume in cognitively unimpaired individuals has not yet been described. METHODS Multicenter brain magnetic resonance images (MRIs) from cognitively unimpaired ε2 homozygotes were matched (1:1) against all other APOE genotypes for relevant confounders (n = 223). GM volumes of ε2 genotypic groups were compared to each other and to the reference group (APOE ε3/ε3). RESULTS Carrying at least one ε2 allele was associated with larger GM volumes in brain areas typically affected by AD and also in areas associated with cognitive resilience. APOE ε2 homozygotes, but not APOE ε2 heterozygotes, showed larger GM volumes in areas related to successful aging. DISCUSSION In addition to the known resistance against amyloid-β deposition, the larger GM volumes in key brain regions may confer APOE ε2 homozygotes additional protection against AD-related cognitive decline.
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Affiliation(s)
- Gemma Salvadó
- Barcelonaβeta Brain Research Center (BBRC), Pasqual Maragall Foundation, Barcelona, Spain.,IMIM (Hospital del Mar Medical Research Institute), Barcelona, Spain
| | - Daniel Ferreira
- Division of Clinical Geriatrics, Center for Alzheimer Research, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Stockholm, Sweden.,Department of Radiology, Mayo Clinic, Rochester, Minnesota, USA
| | - Grégory Operto
- Barcelonaβeta Brain Research Center (BBRC), Pasqual Maragall Foundation, Barcelona, Spain.,IMIM (Hospital del Mar Medical Research Institute), Barcelona, Spain.,CIBER Fragilidad y Envejecimiento Saludable (CIBERFES), Madrid, Spain
| | - Irene Cumplido-Mayoral
- Barcelonaβeta Brain Research Center (BBRC), Pasqual Maragall Foundation, Barcelona, Spain.,Universitat Pompeu Fabra, Barcelona, Spain
| | - Eider M Arenaza-Urquijo
- Barcelonaβeta Brain Research Center (BBRC), Pasqual Maragall Foundation, Barcelona, Spain.,IMIM (Hospital del Mar Medical Research Institute), Barcelona, Spain.,CIBER Fragilidad y Envejecimiento Saludable (CIBERFES), Madrid, Spain
| | - Raffaele Cacciaglia
- Barcelonaβeta Brain Research Center (BBRC), Pasqual Maragall Foundation, Barcelona, Spain.,IMIM (Hospital del Mar Medical Research Institute), Barcelona, Spain.,CIBER Fragilidad y Envejecimiento Saludable (CIBERFES), Madrid, Spain
| | - Carles Falcon
- Barcelonaβeta Brain Research Center (BBRC), Pasqual Maragall Foundation, Barcelona, Spain.,IMIM (Hospital del Mar Medical Research Institute), Barcelona, Spain.,Centro de Investigación Biomédica en Red de Bioingeniería, Biomateriales y Nanomedicina (CIBER-BBN), Madrid, Spain
| | - Natàlia Vilor-Tejedor
- Barcelonaβeta Brain Research Center (BBRC), Pasqual Maragall Foundation, Barcelona, Spain.,Universitat Pompeu Fabra, Barcelona, Spain.,Centre for Genomic Regulation (CRG), The Barcelona Institute for Science and Technology, Barcelona, Spain.,Department of Clinical Genetics, ERASMUS MC, Rotterdam, the Netherlands
| | - Carolina Minguillon
- Barcelonaβeta Brain Research Center (BBRC), Pasqual Maragall Foundation, Barcelona, Spain.,IMIM (Hospital del Mar Medical Research Institute), Barcelona, Spain.,CIBER Fragilidad y Envejecimiento Saludable (CIBERFES), Madrid, Spain
| | - Colin Groot
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, the Netherlands
| | - Wiesje M van der Flier
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, the Netherlands.,Department of Epidemiology & Biostatistics, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, the Netherlands
| | - Frederik Barkhof
- Department of Radiology and Nuclear Medicine, VU Medical Center, Neuroscience Campus Amsterdam, Amsterdam, the Netherlands.,Institutes of Neurology & Healthcare Engineering, University College London, London, UK
| | - Philip Scheltens
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, the Netherlands
| | - Rik Ossenkoppele
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, the Netherlands.,Clinical Memory Research Unit, Lund University, Lund, Sweden
| | - Silke Kern
- Neuropsychiatric Epidemiology Unit, Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, Sahlgrenska Academy, Centre for Ageing and Health (AgeCap) at the University of Gothenburg, Gothenburg, Sweden
| | - Anna Zettergren
- Neuropsychiatric Epidemiology Unit, Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, Sahlgrenska Academy, Centre for Ageing and Health (AgeCap) at the University of Gothenburg, Gothenburg, Sweden
| | - Ingmar Skoog
- Neuropsychiatric Epidemiology Unit, Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, Sahlgrenska Academy, Centre for Ageing and Health (AgeCap) at the University of Gothenburg, Gothenburg, Sweden
| | - Jakub Hort
- International Clinical Research Centre, St. Anne's University Hospital Brno, Brno, Czech Republic.,Memory Clinic, Department of Neurology, Charles University, 2nd Faculty of Medicine and Motol University Hospital, Prague, Czech Republic
| | - Erik Stomrud
- Department of Clinical Sciences, Clinical Memory Research Unit, Lund University, Lund, Sweden.,Memory Clinic, Skåne University Hospital, Malmö, Sweden
| | - Danielle van Westen
- Diagnostic Radiology, Institution for Clinical Sciences, Lund University, Lund, Sweden.,Image and Function, Skåne University Hospital, Lund, Sweden
| | - Oskar Hansson
- Department of Clinical Sciences, Clinical Memory Research Unit, Lund University, Lund, Sweden.,Memory Clinic, Skåne University Hospital, Malmö, Sweden
| | - José Luis Molinuevo
- Barcelonaβeta Brain Research Center (BBRC), Pasqual Maragall Foundation, Barcelona, Spain
| | - Lars-Olof Wahlund
- Division of Clinical Geriatrics, Center for Alzheimer Research, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Stockholm, Sweden
| | - Eric Westman
- Division of Clinical Geriatrics, Center for Alzheimer Research, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Stockholm, Sweden.,Department of Neuroimaging, Centre for Neuroimaging Sciences, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Juan Domingo Gispert
- Barcelonaβeta Brain Research Center (BBRC), Pasqual Maragall Foundation, Barcelona, Spain.,IMIM (Hospital del Mar Medical Research Institute), Barcelona, Spain.,Universitat Pompeu Fabra, Barcelona, Spain.,Centro de Investigación Biomédica en Red de Bioingeniería, Biomateriales y Nanomedicina (CIBER-BBN), Madrid, Spain
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16
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Ossenkoppele R, Singleton EH, Groot C, Dijkstra AA, Eikelboom WS, Seeley WW, Miller B, Laforce RJ, Scheltens P, Papma JM, Rabinovici GD, Pijnenburg YAL. Research Criteria for the Behavioral Variant of Alzheimer Disease: A Systematic Review and Meta-analysis. JAMA Neurol 2021; 79:48-60. [PMID: 34870696 PMCID: PMC8649917 DOI: 10.1001/jamaneurol.2021.4417] [Citation(s) in RCA: 35] [Impact Index Per Article: 11.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
Importance The behavioral variant of Alzheimer disease (bvAD) is characterized by early and predominant behavioral deficits caused by AD pathology. This AD phenotype is insufficiently understood and lacks standardized clinical criteria, limiting reliability and reproducibility of diagnosis and scientific reporting. Objective To perform a systematic review and meta-analysis of the bvAD literature and use the outcomes to propose research criteria for this syndrome. Data Sources A systematic literature search in PubMed/MEDLINE and Web of Science databases (from inception through April 7, 2021) was performed in duplicate. Study Selection Studies reporting on behavioral, neuropsychological, or neuroimaging features in bvAD and, when available, providing comparisons with typical amnestic-predominant AD (tAD) or behavioral variant frontotemporal dementia (bvFTD). Data Extraction and Synthesis This analysis involved random-effects meta-analyses on group-level study results of clinical data and systematic review of the neuroimaging literature. The study was performed following Preferred Reporting Items for Systematic Reviews and Meta-analyses (PRISMA) guidelines. Main Outcomes and Measures Behavioral symptoms (neuropsychiatric symptoms and bvFTD core clinical criteria), cognitive function (global cognition, episodic memory, and executive functioning), and neuroimaging features (structural magnetic resonance imaging, [18F]fluorodeoxyglucose-positron emission tomography, perfusion single-photon emission computed tomography, amyloid positron emission tomography, and tau positron emission tomography). Results The search led to the assessment of 83 studies, including 13 suitable for meta-analysis. Data were collected for 591 patients with bvAD. There was moderate to substantial heterogeneity and moderate risk of bias across studies. Cases with bvAD showed more severe behavioral symptoms than tAD (standardized mean difference [SMD], 1.16 [95% CI, 0.74-1.59]; P < .001) and a trend toward less severe behavioral symptoms compared with bvFTD (SMD, -0.22 [95% CI, -0.47 to 0.04]; P = .10). Meta-analyses of cognitive data indicated worse executive performance in bvAD vs tAD (SMD, -1.03 [95% CI, -1.74 to -0.32]; P = .008) but not compared with bvFTD (SMD, -0.61 [95% CI, -1.75 to 0.53]; P = .29). Cases with bvAD showed a nonsignificant difference of worse memory performance compared with bvFTD (SMD, -1.31 [95% CI, -2.75 to 0.14]; P = .08) but did not differ from tAD (SMD, 0.43 [95% CI, -0.46 to 1.33]; P = .34). The neuroimaging literature revealed 2 distinct bvAD neuroimaging phenotypes: an AD-like pattern with relative frontal sparing and a relatively more bvFTD-like pattern characterized by additional anterior involvement, with the AD-like pattern being more prevalent. Conclusions and Relevance These data indicate that bvAD is clinically most similar to bvFTD, while it shares most pathophysiological features with tAD. Based on these insights, we propose research criteria for bvAD aimed at improving the consistency and reliability of future research and aiding the clinical assessment of this AD phenotype.
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Affiliation(s)
- Rik Ossenkoppele
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, the Netherlands.,Lund University, Clinical Memory Research Unit, Lund, Sweden
| | - Ellen H Singleton
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, the Netherlands
| | - Colin Groot
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, the Netherlands
| | - Anke A Dijkstra
- Department of Pathology, Amsterdam Neuroscience, Amsterdam University Medical Centre, Location VUMC, Amsterdam, the Netherlands
| | - Willem S Eikelboom
- Department of Neurology, Erasmus University Medical Center, Rotterdam, the Netherlands
| | - William W Seeley
- Memory and Aging Center, Department of Neurology, University of California, San Francisco, San Francisco
| | - Bruce Miller
- Memory and Aging Center, Department of Neurology, University of California, San Francisco, San Francisco
| | - Robert Jr Laforce
- Clinique Interdisciplinaire de Mémoire, Centre Hospitalier Universitaire de Québec, Québec, Canada
| | - Philip Scheltens
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, the Netherlands
| | - Janne M Papma
- Department of Neurology, Erasmus University Medical Center, Rotterdam, the Netherlands
| | - Gil D Rabinovici
- Memory and Aging Center, Department of Neurology, University of California, San Francisco, San Francisco.,Department of Radiology and Biomedical Imaging, University of California, San Francisco, San Francisco.,Weill Institute for Neurosciences, University of California, San Francisco, San Francisco.,Associate Editor, JAMA Neurology
| | - Yolande A L Pijnenburg
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, the Netherlands
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17
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Ossenkoppele R, Mattsson N, Smith R, Groot C, Cho H, La Joie R, Baker SL, Borroni E, Klein G, Pontecorvo MJ, Devous MD, Jagust WJ, Lyoo CH, Rabinovici GD, Hansson O. Tau PET as a prognostic marker in preclinical and prodromal Alzheimer’s disease. Alzheimers Dement 2021. [DOI: 10.1002/alz.055932] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
Affiliation(s)
- Rik Ossenkoppele
- Alzheimer Center Amsterdam Department of Neurology Amsterdam Neuroscience Vrije Universiteit Amsterdam Amsterdam UMC Amsterdam Netherlands
- Clinical Memory Research Unit Lund University Malmö Sweden
| | - Niklas Mattsson
- Clinical Memory Research Unit Department of Clinical Sciences Malmö Lund University Malmö Sweden
| | - Ruben Smith
- Clinical Memory Research Unit Lund University Malmö Sweden
| | - Colin Groot
- Alzheimer Center and Department of Neurology Amsterdam Neuroscience VU University Medical Center Amsterdam Netherlands
| | - Hanna Cho
- Gangnam Severance Hospital Yonsei University College of Medicine Seoul South Korea
| | - Renaud La Joie
- Memory and Aging Center UCSF Weill Institute for Neurosciences University of California San Francisco CA USA
| | | | | | | | | | | | | | - Chul Hyoung Lyoo
- Gangnam Severance Hospital Yonsei University College of Medicine Seoul South Korea
| | - Gil D. Rabinovici
- Memory and Aging Center UCSF Weill Institute for Neurosciences University of California San Francisco CA USA
| | - Oskar Hansson
- Clinical Memory Research Unit Department of Clinical Sciences Mälmo Lund University Malmö Sweden
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18
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Ossenkoppele R, Groot C. Associations between the
APOE‐ε2
and
APOE‐ε4
alleles with resistance and resilience against Alzheimer’s disease pathology. Alzheimers Dement 2021. [DOI: 10.1002/alz.051346] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
Affiliation(s)
- Rik Ossenkoppele
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC Amsterdam Netherlands
- Clinical Memory Research Unit, Lund University Malmö Sweden
| | - Colin Groot
- Alzheimer Center and Department of Neurology, Amsterdam Neuroscience, VU University Medical Center Amsterdam Netherlands
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19
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Singleton EH, Groot C, Bader I, Papma JM, Scheltens P, Pijnenburg YA, Ossenkoppele R. A data‐driven latent atrophy factor model reveals differential associations between relative frontal atrophy patterns and specific neuropsychiatric symptoms in Alzheimer’s disease. Alzheimers Dement 2021. [DOI: 10.1002/alz.055318] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
Affiliation(s)
- Ellen H. Singleton
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC Amsterdam Netherlands
| | - Colin Groot
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC Amsterdam Netherlands
| | - Ilse Bader
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC Amsterdam Netherlands
| | - Janne M. Papma
- Department of Neurology, Erasmus University Medical Center Rotterdam Netherlands
- Department of Radiology, Erasmus University Medical Center, Rotterdam Rotterdam Netherlands
| | | | - Yolande A.L. Pijnenburg
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC Amsterdam Netherlands
| | - Rik Ossenkoppele
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC Amsterdam Netherlands
- Clinical Memory Research Unit, Department of Clinical Sciences Mälmo, Lund University Lund Sweden
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20
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Leuzy A, Santillo A, Smith R, Groot C, Ossenkoppele R, Hansson O. [
18
F]RO948 tau PET in bvFTD due to
C9orf72
and
GRN
mutations. Alzheimers Dement 2021. [DOI: 10.1002/alz.055604] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Affiliation(s)
- Antoine Leuzy
- Clinical Memory Research Unit Lund University Malmö Sweden
| | | | - Ruben Smith
- Clinical Memory Research Unit Lund University Malmö Sweden
- Neurology Clinic Skåne University Hospital Lund Sweden
| | - Colin Groot
- Alzheimer Center and Department of Neurology Amsterdam Neuroscience VU University Medical Center Amsterdam Netherlands
| | - Rik Ossenkoppele
- Clinical Memory Research Unit Lund University Malmö Sweden
- Alzheimer Center and Department of Neurology Amsterdam Neuroscience VU University Medical Center Amsterdam Netherlands
| | - Oskar Hansson
- Clinical Memory Research Unit Lund University Lund Sweden
- Memory Clinic Skåne University Hospital Malmö Sweden
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21
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Bocancea DI, van Loenhoud AC, Groot C, Barkhof F, van der Flier WM, Ossenkoppele R. Measuring Resilience and Resistance in Aging and Alzheimer Disease Using Residual Methods: A Systematic Review and Meta-analysis. Neurology 2021; 97:474-488. [PMID: 34266918 PMCID: PMC8448552 DOI: 10.1212/wnl.0000000000012499] [Citation(s) in RCA: 40] [Impact Index Per Article: 13.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/05/2021] [Accepted: 06/14/2021] [Indexed: 12/13/2022] Open
Abstract
BACKGROUND AND OBJECTIVE There is a lack of consensus on how to optimally define and measure resistance and resilience in brain and cognitive aging. Residual methods use residuals from regression analysis to quantify the capacity to avoid (resistance) or cope (resilience) "better or worse than expected" given a certain level of risk or cerebral damage. We reviewed the rapidly growing literature on residual methods in the context of aging and Alzheimer disease (AD) and performed meta-analyses to investigate associations of residual method-based resilience and resistance measures with longitudinal cognitive and clinical outcomes. METHODS A systematic literature search of PubMed and Web of Science databases (consulted until March 2020) and subsequent screening led to 54 studies fulfilling eligibility criteria, including 10 studies suitable for the meta-analyses. RESULTS We identified articles using residual methods aimed at quantifying resistance (n = 33), cognitive resilience (n = 23), and brain resilience (n = 2). Critical examination of the literature revealed that there is considerable methodologic variability in how the residual measures were derived and validated. Despite methodologic differences across studies, meta-analytic assessments showed significant associations of levels of resistance (hazard ratio [HR] [95% confidence interval (CI)] 1.12 [1.07-1.17]; p < 0.0001) and levels of resilience (HR [95% CI] 0.46 [0.32-0.68]; p < 0.001) with risk of progression to dementia/AD. Resilience was also associated with rate of cognitive decline (β [95% CI] 0.05 [0.01-0.08]; p < 0.01). DISCUSSION This review and meta-analysis supports the usefulness of residual methods as appropriate measures of resilience and resistance, as they capture clinically meaningful information in aging and AD. More rigorous methodologic standardization is needed to increase comparability across studies and, ultimately, application in clinical practice.
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Affiliation(s)
- Diana I Bocancea
- From the Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience (D.I.B., A.C.v.L., C.G., W.M.v.d.F., R.O.), and Department of Radiology and Nuclear Medicine (F.B.), Vrije Universiteit Amsterdam, Amsterdam UMC, the Netherlands; Institutes of Neurology and Healthcare Engineering (F.B.), University College London, UK; Department of Epidemiology and Biostatistics (W.M.v.d.F.), VU University Medical Center, Amsterdam, the Netherlands; and Clinical Memory Research Unit (R.O.), Lund University, Sweden
| | - Anna C van Loenhoud
- From the Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience (D.I.B., A.C.v.L., C.G., W.M.v.d.F., R.O.), and Department of Radiology and Nuclear Medicine (F.B.), Vrije Universiteit Amsterdam, Amsterdam UMC, the Netherlands; Institutes of Neurology and Healthcare Engineering (F.B.), University College London, UK; Department of Epidemiology and Biostatistics (W.M.v.d.F.), VU University Medical Center, Amsterdam, the Netherlands; and Clinical Memory Research Unit (R.O.), Lund University, Sweden
| | - Colin Groot
- From the Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience (D.I.B., A.C.v.L., C.G., W.M.v.d.F., R.O.), and Department of Radiology and Nuclear Medicine (F.B.), Vrije Universiteit Amsterdam, Amsterdam UMC, the Netherlands; Institutes of Neurology and Healthcare Engineering (F.B.), University College London, UK; Department of Epidemiology and Biostatistics (W.M.v.d.F.), VU University Medical Center, Amsterdam, the Netherlands; and Clinical Memory Research Unit (R.O.), Lund University, Sweden
| | - Frederik Barkhof
- From the Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience (D.I.B., A.C.v.L., C.G., W.M.v.d.F., R.O.), and Department of Radiology and Nuclear Medicine (F.B.), Vrije Universiteit Amsterdam, Amsterdam UMC, the Netherlands; Institutes of Neurology and Healthcare Engineering (F.B.), University College London, UK; Department of Epidemiology and Biostatistics (W.M.v.d.F.), VU University Medical Center, Amsterdam, the Netherlands; and Clinical Memory Research Unit (R.O.), Lund University, Sweden
| | - Wiesje M van der Flier
- From the Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience (D.I.B., A.C.v.L., C.G., W.M.v.d.F., R.O.), and Department of Radiology and Nuclear Medicine (F.B.), Vrije Universiteit Amsterdam, Amsterdam UMC, the Netherlands; Institutes of Neurology and Healthcare Engineering (F.B.), University College London, UK; Department of Epidemiology and Biostatistics (W.M.v.d.F.), VU University Medical Center, Amsterdam, the Netherlands; and Clinical Memory Research Unit (R.O.), Lund University, Sweden
| | - Rik Ossenkoppele
- From the Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience (D.I.B., A.C.v.L., C.G., W.M.v.d.F., R.O.), and Department of Radiology and Nuclear Medicine (F.B.), Vrije Universiteit Amsterdam, Amsterdam UMC, the Netherlands; Institutes of Neurology and Healthcare Engineering (F.B.), University College London, UK; Department of Epidemiology and Biostatistics (W.M.v.d.F.), VU University Medical Center, Amsterdam, the Netherlands; and Clinical Memory Research Unit (R.O.), Lund University, Sweden
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22
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Wolters EE, Papma JM, Verfaillie SCJ, Visser D, Weltings E, Groot C, van der Ende EL, Giannini LAA, Tuncel H, Timmers T, Boellaard R, Yaqub M, van Assema DME, Kuijper DA, Segbers M, Rozemuller AJM, Barkhof F, Windhorst AD, van der Flier WM, Pijnenburg YAL, Scheltens P, van Berckel BNM, van Swieten JC, Ossenkoppele R, Seelaar H. [ 18F]Flortaucipir PET Across Various MAPT Mutations in Presymptomatic and Symptomatic Carriers. Neurology 2021; 97:e1017-e1030. [PMID: 34210823 PMCID: PMC8448551 DOI: 10.1212/wnl.0000000000012448] [Citation(s) in RCA: 17] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/17/2021] [Accepted: 06/07/2021] [Indexed: 11/15/2022] Open
Abstract
OBJECTIVE To assess the [18F]flortaucipir binding distribution across MAPT mutations in presymptomatic and symptomatic carriers. METHODS We compared regional [18F]flortaucipir binding potential (BPND) derived from a 130-minute dynamic [18F]flortaucipir PET scan in 9 (pre)symptomatic MAPT mutation carriers (4 with P301L [1 symptomatic], 2 with R406W [1 symptomatic], 1 presymptomatic L315R, 1 presymptomatic S320F, and 1 symptomatic G272V carrier) with 30 cognitively normal controls and 52 patients with Alzheimer disease. RESULTS [18F]Flortaucipir BPND images showed overall highest binding in the symptomatic carriers. This was most pronounced in the symptomatic R406W carrier in whom tau binding exceeded the normal control range in the anterior cingulate cortex, insula, amygdala, temporal, parietal, and frontal lobe. Elevated medial temporal lobe BPND was observed in a presymptomatic R406W carrier. The single symptomatic carrier and 1 of the 3 presymptomatic P301L carriers showed elevated [18F]flortaucipir BPND in the insula, parietal, and frontal lobe compared to controls. The symptomatic G272V carrier exhibited a widespread elevated cortical BPND, with at neuropathologic examination a combination of 3R pathology and encephalitis. The L315R presymptomatic mutation carrier showed higher frontal BPND compared to controls. The BPND values of the S320F presymptomatic mutation carrier fell within the range of controls. CONCLUSION Presymptomatic MAPT mutation carriers already showed subtle elevated tau binding, whereas symptomatic MAPT mutation carriers showed a more marked increase in [18F]flortaucipir BPND. Tau deposition was most pronounced in R406W MAPT (pre)symptomatic mutation carriers, which is associated with both 3R and 4R tau accumulation. Thus, [18F]flortaucipir may serve as an early biomarker for MAPT mutation carriers in mutations that cause 3R/4R tauopathies.
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Affiliation(s)
- Emma E Wolters
- From the Department of Radiology & Nuclear Medicine (E.E.W., S.C.J.V., D.V., E.W., H.T., T.T., R.B., M.Y., F.B., A.D.W., B.N.M.v.B.) and Alzheimer Center Amsterdam, Department of Neurology (E.E.W., C.G., W.M.v.d.F., Y.A.L.P., P.S., R.O.), Amsterdam Neuroscience, and Department of Epidemiology and Biostatistics (W.M.v.d.F.), Vrije Universiteit Amsterdam, Amsterdam UMC; Department of Neurology, Alzheimer Center (J.M.P., E.L.v.d.E., L.A.A.G., J.C.v.S., H.S.), and Department of Radiology & Nuclear Medicine (D.M.E.v.A., D.A.K., M.S.), Erasmus MC University Medical Center, Rotterdam; Department of Pathology (A.J.M.R.), Amsterdam Neuroscience, Amsterdam UMC, location VUmc, the Netherlands; Institutes of Neurology & Healthcare Engineering (F.B.), UCL, London, UK; and Clinical Memory Research Unit (R.O.), Lund University, Sweden.
| | - Janne M Papma
- From the Department of Radiology & Nuclear Medicine (E.E.W., S.C.J.V., D.V., E.W., H.T., T.T., R.B., M.Y., F.B., A.D.W., B.N.M.v.B.) and Alzheimer Center Amsterdam, Department of Neurology (E.E.W., C.G., W.M.v.d.F., Y.A.L.P., P.S., R.O.), Amsterdam Neuroscience, and Department of Epidemiology and Biostatistics (W.M.v.d.F.), Vrije Universiteit Amsterdam, Amsterdam UMC; Department of Neurology, Alzheimer Center (J.M.P., E.L.v.d.E., L.A.A.G., J.C.v.S., H.S.), and Department of Radiology & Nuclear Medicine (D.M.E.v.A., D.A.K., M.S.), Erasmus MC University Medical Center, Rotterdam; Department of Pathology (A.J.M.R.), Amsterdam Neuroscience, Amsterdam UMC, location VUmc, the Netherlands; Institutes of Neurology & Healthcare Engineering (F.B.), UCL, London, UK; and Clinical Memory Research Unit (R.O.), Lund University, Sweden
| | - Sander C J Verfaillie
- From the Department of Radiology & Nuclear Medicine (E.E.W., S.C.J.V., D.V., E.W., H.T., T.T., R.B., M.Y., F.B., A.D.W., B.N.M.v.B.) and Alzheimer Center Amsterdam, Department of Neurology (E.E.W., C.G., W.M.v.d.F., Y.A.L.P., P.S., R.O.), Amsterdam Neuroscience, and Department of Epidemiology and Biostatistics (W.M.v.d.F.), Vrije Universiteit Amsterdam, Amsterdam UMC; Department of Neurology, Alzheimer Center (J.M.P., E.L.v.d.E., L.A.A.G., J.C.v.S., H.S.), and Department of Radiology & Nuclear Medicine (D.M.E.v.A., D.A.K., M.S.), Erasmus MC University Medical Center, Rotterdam; Department of Pathology (A.J.M.R.), Amsterdam Neuroscience, Amsterdam UMC, location VUmc, the Netherlands; Institutes of Neurology & Healthcare Engineering (F.B.), UCL, London, UK; and Clinical Memory Research Unit (R.O.), Lund University, Sweden
| | - Denise Visser
- From the Department of Radiology & Nuclear Medicine (E.E.W., S.C.J.V., D.V., E.W., H.T., T.T., R.B., M.Y., F.B., A.D.W., B.N.M.v.B.) and Alzheimer Center Amsterdam, Department of Neurology (E.E.W., C.G., W.M.v.d.F., Y.A.L.P., P.S., R.O.), Amsterdam Neuroscience, and Department of Epidemiology and Biostatistics (W.M.v.d.F.), Vrije Universiteit Amsterdam, Amsterdam UMC; Department of Neurology, Alzheimer Center (J.M.P., E.L.v.d.E., L.A.A.G., J.C.v.S., H.S.), and Department of Radiology & Nuclear Medicine (D.M.E.v.A., D.A.K., M.S.), Erasmus MC University Medical Center, Rotterdam; Department of Pathology (A.J.M.R.), Amsterdam Neuroscience, Amsterdam UMC, location VUmc, the Netherlands; Institutes of Neurology & Healthcare Engineering (F.B.), UCL, London, UK; and Clinical Memory Research Unit (R.O.), Lund University, Sweden
| | - Emma Weltings
- From the Department of Radiology & Nuclear Medicine (E.E.W., S.C.J.V., D.V., E.W., H.T., T.T., R.B., M.Y., F.B., A.D.W., B.N.M.v.B.) and Alzheimer Center Amsterdam, Department of Neurology (E.E.W., C.G., W.M.v.d.F., Y.A.L.P., P.S., R.O.), Amsterdam Neuroscience, and Department of Epidemiology and Biostatistics (W.M.v.d.F.), Vrije Universiteit Amsterdam, Amsterdam UMC; Department of Neurology, Alzheimer Center (J.M.P., E.L.v.d.E., L.A.A.G., J.C.v.S., H.S.), and Department of Radiology & Nuclear Medicine (D.M.E.v.A., D.A.K., M.S.), Erasmus MC University Medical Center, Rotterdam; Department of Pathology (A.J.M.R.), Amsterdam Neuroscience, Amsterdam UMC, location VUmc, the Netherlands; Institutes of Neurology & Healthcare Engineering (F.B.), UCL, London, UK; and Clinical Memory Research Unit (R.O.), Lund University, Sweden
| | - Colin Groot
- From the Department of Radiology & Nuclear Medicine (E.E.W., S.C.J.V., D.V., E.W., H.T., T.T., R.B., M.Y., F.B., A.D.W., B.N.M.v.B.) and Alzheimer Center Amsterdam, Department of Neurology (E.E.W., C.G., W.M.v.d.F., Y.A.L.P., P.S., R.O.), Amsterdam Neuroscience, and Department of Epidemiology and Biostatistics (W.M.v.d.F.), Vrije Universiteit Amsterdam, Amsterdam UMC; Department of Neurology, Alzheimer Center (J.M.P., E.L.v.d.E., L.A.A.G., J.C.v.S., H.S.), and Department of Radiology & Nuclear Medicine (D.M.E.v.A., D.A.K., M.S.), Erasmus MC University Medical Center, Rotterdam; Department of Pathology (A.J.M.R.), Amsterdam Neuroscience, Amsterdam UMC, location VUmc, the Netherlands; Institutes of Neurology & Healthcare Engineering (F.B.), UCL, London, UK; and Clinical Memory Research Unit (R.O.), Lund University, Sweden
| | - Emma L van der Ende
- From the Department of Radiology & Nuclear Medicine (E.E.W., S.C.J.V., D.V., E.W., H.T., T.T., R.B., M.Y., F.B., A.D.W., B.N.M.v.B.) and Alzheimer Center Amsterdam, Department of Neurology (E.E.W., C.G., W.M.v.d.F., Y.A.L.P., P.S., R.O.), Amsterdam Neuroscience, and Department of Epidemiology and Biostatistics (W.M.v.d.F.), Vrije Universiteit Amsterdam, Amsterdam UMC; Department of Neurology, Alzheimer Center (J.M.P., E.L.v.d.E., L.A.A.G., J.C.v.S., H.S.), and Department of Radiology & Nuclear Medicine (D.M.E.v.A., D.A.K., M.S.), Erasmus MC University Medical Center, Rotterdam; Department of Pathology (A.J.M.R.), Amsterdam Neuroscience, Amsterdam UMC, location VUmc, the Netherlands; Institutes of Neurology & Healthcare Engineering (F.B.), UCL, London, UK; and Clinical Memory Research Unit (R.O.), Lund University, Sweden
| | - Lucia A A Giannini
- From the Department of Radiology & Nuclear Medicine (E.E.W., S.C.J.V., D.V., E.W., H.T., T.T., R.B., M.Y., F.B., A.D.W., B.N.M.v.B.) and Alzheimer Center Amsterdam, Department of Neurology (E.E.W., C.G., W.M.v.d.F., Y.A.L.P., P.S., R.O.), Amsterdam Neuroscience, and Department of Epidemiology and Biostatistics (W.M.v.d.F.), Vrije Universiteit Amsterdam, Amsterdam UMC; Department of Neurology, Alzheimer Center (J.M.P., E.L.v.d.E., L.A.A.G., J.C.v.S., H.S.), and Department of Radiology & Nuclear Medicine (D.M.E.v.A., D.A.K., M.S.), Erasmus MC University Medical Center, Rotterdam; Department of Pathology (A.J.M.R.), Amsterdam Neuroscience, Amsterdam UMC, location VUmc, the Netherlands; Institutes of Neurology & Healthcare Engineering (F.B.), UCL, London, UK; and Clinical Memory Research Unit (R.O.), Lund University, Sweden
| | - Hayel Tuncel
- From the Department of Radiology & Nuclear Medicine (E.E.W., S.C.J.V., D.V., E.W., H.T., T.T., R.B., M.Y., F.B., A.D.W., B.N.M.v.B.) and Alzheimer Center Amsterdam, Department of Neurology (E.E.W., C.G., W.M.v.d.F., Y.A.L.P., P.S., R.O.), Amsterdam Neuroscience, and Department of Epidemiology and Biostatistics (W.M.v.d.F.), Vrije Universiteit Amsterdam, Amsterdam UMC; Department of Neurology, Alzheimer Center (J.M.P., E.L.v.d.E., L.A.A.G., J.C.v.S., H.S.), and Department of Radiology & Nuclear Medicine (D.M.E.v.A., D.A.K., M.S.), Erasmus MC University Medical Center, Rotterdam; Department of Pathology (A.J.M.R.), Amsterdam Neuroscience, Amsterdam UMC, location VUmc, the Netherlands; Institutes of Neurology & Healthcare Engineering (F.B.), UCL, London, UK; and Clinical Memory Research Unit (R.O.), Lund University, Sweden
| | - Tessa Timmers
- From the Department of Radiology & Nuclear Medicine (E.E.W., S.C.J.V., D.V., E.W., H.T., T.T., R.B., M.Y., F.B., A.D.W., B.N.M.v.B.) and Alzheimer Center Amsterdam, Department of Neurology (E.E.W., C.G., W.M.v.d.F., Y.A.L.P., P.S., R.O.), Amsterdam Neuroscience, and Department of Epidemiology and Biostatistics (W.M.v.d.F.), Vrije Universiteit Amsterdam, Amsterdam UMC; Department of Neurology, Alzheimer Center (J.M.P., E.L.v.d.E., L.A.A.G., J.C.v.S., H.S.), and Department of Radiology & Nuclear Medicine (D.M.E.v.A., D.A.K., M.S.), Erasmus MC University Medical Center, Rotterdam; Department of Pathology (A.J.M.R.), Amsterdam Neuroscience, Amsterdam UMC, location VUmc, the Netherlands; Institutes of Neurology & Healthcare Engineering (F.B.), UCL, London, UK; and Clinical Memory Research Unit (R.O.), Lund University, Sweden
| | - Ronald Boellaard
- From the Department of Radiology & Nuclear Medicine (E.E.W., S.C.J.V., D.V., E.W., H.T., T.T., R.B., M.Y., F.B., A.D.W., B.N.M.v.B.) and Alzheimer Center Amsterdam, Department of Neurology (E.E.W., C.G., W.M.v.d.F., Y.A.L.P., P.S., R.O.), Amsterdam Neuroscience, and Department of Epidemiology and Biostatistics (W.M.v.d.F.), Vrije Universiteit Amsterdam, Amsterdam UMC; Department of Neurology, Alzheimer Center (J.M.P., E.L.v.d.E., L.A.A.G., J.C.v.S., H.S.), and Department of Radiology & Nuclear Medicine (D.M.E.v.A., D.A.K., M.S.), Erasmus MC University Medical Center, Rotterdam; Department of Pathology (A.J.M.R.), Amsterdam Neuroscience, Amsterdam UMC, location VUmc, the Netherlands; Institutes of Neurology & Healthcare Engineering (F.B.), UCL, London, UK; and Clinical Memory Research Unit (R.O.), Lund University, Sweden
| | - Maqsood Yaqub
- From the Department of Radiology & Nuclear Medicine (E.E.W., S.C.J.V., D.V., E.W., H.T., T.T., R.B., M.Y., F.B., A.D.W., B.N.M.v.B.) and Alzheimer Center Amsterdam, Department of Neurology (E.E.W., C.G., W.M.v.d.F., Y.A.L.P., P.S., R.O.), Amsterdam Neuroscience, and Department of Epidemiology and Biostatistics (W.M.v.d.F.), Vrije Universiteit Amsterdam, Amsterdam UMC; Department of Neurology, Alzheimer Center (J.M.P., E.L.v.d.E., L.A.A.G., J.C.v.S., H.S.), and Department of Radiology & Nuclear Medicine (D.M.E.v.A., D.A.K., M.S.), Erasmus MC University Medical Center, Rotterdam; Department of Pathology (A.J.M.R.), Amsterdam Neuroscience, Amsterdam UMC, location VUmc, the Netherlands; Institutes of Neurology & Healthcare Engineering (F.B.), UCL, London, UK; and Clinical Memory Research Unit (R.O.), Lund University, Sweden
| | - Danielle M E van Assema
- From the Department of Radiology & Nuclear Medicine (E.E.W., S.C.J.V., D.V., E.W., H.T., T.T., R.B., M.Y., F.B., A.D.W., B.N.M.v.B.) and Alzheimer Center Amsterdam, Department of Neurology (E.E.W., C.G., W.M.v.d.F., Y.A.L.P., P.S., R.O.), Amsterdam Neuroscience, and Department of Epidemiology and Biostatistics (W.M.v.d.F.), Vrije Universiteit Amsterdam, Amsterdam UMC; Department of Neurology, Alzheimer Center (J.M.P., E.L.v.d.E., L.A.A.G., J.C.v.S., H.S.), and Department of Radiology & Nuclear Medicine (D.M.E.v.A., D.A.K., M.S.), Erasmus MC University Medical Center, Rotterdam; Department of Pathology (A.J.M.R.), Amsterdam Neuroscience, Amsterdam UMC, location VUmc, the Netherlands; Institutes of Neurology & Healthcare Engineering (F.B.), UCL, London, UK; and Clinical Memory Research Unit (R.O.), Lund University, Sweden
| | - Dennis A Kuijper
- From the Department of Radiology & Nuclear Medicine (E.E.W., S.C.J.V., D.V., E.W., H.T., T.T., R.B., M.Y., F.B., A.D.W., B.N.M.v.B.) and Alzheimer Center Amsterdam, Department of Neurology (E.E.W., C.G., W.M.v.d.F., Y.A.L.P., P.S., R.O.), Amsterdam Neuroscience, and Department of Epidemiology and Biostatistics (W.M.v.d.F.), Vrije Universiteit Amsterdam, Amsterdam UMC; Department of Neurology, Alzheimer Center (J.M.P., E.L.v.d.E., L.A.A.G., J.C.v.S., H.S.), and Department of Radiology & Nuclear Medicine (D.M.E.v.A., D.A.K., M.S.), Erasmus MC University Medical Center, Rotterdam; Department of Pathology (A.J.M.R.), Amsterdam Neuroscience, Amsterdam UMC, location VUmc, the Netherlands; Institutes of Neurology & Healthcare Engineering (F.B.), UCL, London, UK; and Clinical Memory Research Unit (R.O.), Lund University, Sweden
| | - Marcel Segbers
- From the Department of Radiology & Nuclear Medicine (E.E.W., S.C.J.V., D.V., E.W., H.T., T.T., R.B., M.Y., F.B., A.D.W., B.N.M.v.B.) and Alzheimer Center Amsterdam, Department of Neurology (E.E.W., C.G., W.M.v.d.F., Y.A.L.P., P.S., R.O.), Amsterdam Neuroscience, and Department of Epidemiology and Biostatistics (W.M.v.d.F.), Vrije Universiteit Amsterdam, Amsterdam UMC; Department of Neurology, Alzheimer Center (J.M.P., E.L.v.d.E., L.A.A.G., J.C.v.S., H.S.), and Department of Radiology & Nuclear Medicine (D.M.E.v.A., D.A.K., M.S.), Erasmus MC University Medical Center, Rotterdam; Department of Pathology (A.J.M.R.), Amsterdam Neuroscience, Amsterdam UMC, location VUmc, the Netherlands; Institutes of Neurology & Healthcare Engineering (F.B.), UCL, London, UK; and Clinical Memory Research Unit (R.O.), Lund University, Sweden
| | - Annemieke J M Rozemuller
- From the Department of Radiology & Nuclear Medicine (E.E.W., S.C.J.V., D.V., E.W., H.T., T.T., R.B., M.Y., F.B., A.D.W., B.N.M.v.B.) and Alzheimer Center Amsterdam, Department of Neurology (E.E.W., C.G., W.M.v.d.F., Y.A.L.P., P.S., R.O.), Amsterdam Neuroscience, and Department of Epidemiology and Biostatistics (W.M.v.d.F.), Vrije Universiteit Amsterdam, Amsterdam UMC; Department of Neurology, Alzheimer Center (J.M.P., E.L.v.d.E., L.A.A.G., J.C.v.S., H.S.), and Department of Radiology & Nuclear Medicine (D.M.E.v.A., D.A.K., M.S.), Erasmus MC University Medical Center, Rotterdam; Department of Pathology (A.J.M.R.), Amsterdam Neuroscience, Amsterdam UMC, location VUmc, the Netherlands; Institutes of Neurology & Healthcare Engineering (F.B.), UCL, London, UK; and Clinical Memory Research Unit (R.O.), Lund University, Sweden
| | - Frederik Barkhof
- From the Department of Radiology & Nuclear Medicine (E.E.W., S.C.J.V., D.V., E.W., H.T., T.T., R.B., M.Y., F.B., A.D.W., B.N.M.v.B.) and Alzheimer Center Amsterdam, Department of Neurology (E.E.W., C.G., W.M.v.d.F., Y.A.L.P., P.S., R.O.), Amsterdam Neuroscience, and Department of Epidemiology and Biostatistics (W.M.v.d.F.), Vrije Universiteit Amsterdam, Amsterdam UMC; Department of Neurology, Alzheimer Center (J.M.P., E.L.v.d.E., L.A.A.G., J.C.v.S., H.S.), and Department of Radiology & Nuclear Medicine (D.M.E.v.A., D.A.K., M.S.), Erasmus MC University Medical Center, Rotterdam; Department of Pathology (A.J.M.R.), Amsterdam Neuroscience, Amsterdam UMC, location VUmc, the Netherlands; Institutes of Neurology & Healthcare Engineering (F.B.), UCL, London, UK; and Clinical Memory Research Unit (R.O.), Lund University, Sweden
| | - Albert D Windhorst
- From the Department of Radiology & Nuclear Medicine (E.E.W., S.C.J.V., D.V., E.W., H.T., T.T., R.B., M.Y., F.B., A.D.W., B.N.M.v.B.) and Alzheimer Center Amsterdam, Department of Neurology (E.E.W., C.G., W.M.v.d.F., Y.A.L.P., P.S., R.O.), Amsterdam Neuroscience, and Department of Epidemiology and Biostatistics (W.M.v.d.F.), Vrije Universiteit Amsterdam, Amsterdam UMC; Department of Neurology, Alzheimer Center (J.M.P., E.L.v.d.E., L.A.A.G., J.C.v.S., H.S.), and Department of Radiology & Nuclear Medicine (D.M.E.v.A., D.A.K., M.S.), Erasmus MC University Medical Center, Rotterdam; Department of Pathology (A.J.M.R.), Amsterdam Neuroscience, Amsterdam UMC, location VUmc, the Netherlands; Institutes of Neurology & Healthcare Engineering (F.B.), UCL, London, UK; and Clinical Memory Research Unit (R.O.), Lund University, Sweden
| | - Wiesje M van der Flier
- From the Department of Radiology & Nuclear Medicine (E.E.W., S.C.J.V., D.V., E.W., H.T., T.T., R.B., M.Y., F.B., A.D.W., B.N.M.v.B.) and Alzheimer Center Amsterdam, Department of Neurology (E.E.W., C.G., W.M.v.d.F., Y.A.L.P., P.S., R.O.), Amsterdam Neuroscience, and Department of Epidemiology and Biostatistics (W.M.v.d.F.), Vrije Universiteit Amsterdam, Amsterdam UMC; Department of Neurology, Alzheimer Center (J.M.P., E.L.v.d.E., L.A.A.G., J.C.v.S., H.S.), and Department of Radiology & Nuclear Medicine (D.M.E.v.A., D.A.K., M.S.), Erasmus MC University Medical Center, Rotterdam; Department of Pathology (A.J.M.R.), Amsterdam Neuroscience, Amsterdam UMC, location VUmc, the Netherlands; Institutes of Neurology & Healthcare Engineering (F.B.), UCL, London, UK; and Clinical Memory Research Unit (R.O.), Lund University, Sweden
| | - Yolande A L Pijnenburg
- From the Department of Radiology & Nuclear Medicine (E.E.W., S.C.J.V., D.V., E.W., H.T., T.T., R.B., M.Y., F.B., A.D.W., B.N.M.v.B.) and Alzheimer Center Amsterdam, Department of Neurology (E.E.W., C.G., W.M.v.d.F., Y.A.L.P., P.S., R.O.), Amsterdam Neuroscience, and Department of Epidemiology and Biostatistics (W.M.v.d.F.), Vrije Universiteit Amsterdam, Amsterdam UMC; Department of Neurology, Alzheimer Center (J.M.P., E.L.v.d.E., L.A.A.G., J.C.v.S., H.S.), and Department of Radiology & Nuclear Medicine (D.M.E.v.A., D.A.K., M.S.), Erasmus MC University Medical Center, Rotterdam; Department of Pathology (A.J.M.R.), Amsterdam Neuroscience, Amsterdam UMC, location VUmc, the Netherlands; Institutes of Neurology & Healthcare Engineering (F.B.), UCL, London, UK; and Clinical Memory Research Unit (R.O.), Lund University, Sweden
| | - Philip Scheltens
- From the Department of Radiology & Nuclear Medicine (E.E.W., S.C.J.V., D.V., E.W., H.T., T.T., R.B., M.Y., F.B., A.D.W., B.N.M.v.B.) and Alzheimer Center Amsterdam, Department of Neurology (E.E.W., C.G., W.M.v.d.F., Y.A.L.P., P.S., R.O.), Amsterdam Neuroscience, and Department of Epidemiology and Biostatistics (W.M.v.d.F.), Vrije Universiteit Amsterdam, Amsterdam UMC; Department of Neurology, Alzheimer Center (J.M.P., E.L.v.d.E., L.A.A.G., J.C.v.S., H.S.), and Department of Radiology & Nuclear Medicine (D.M.E.v.A., D.A.K., M.S.), Erasmus MC University Medical Center, Rotterdam; Department of Pathology (A.J.M.R.), Amsterdam Neuroscience, Amsterdam UMC, location VUmc, the Netherlands; Institutes of Neurology & Healthcare Engineering (F.B.), UCL, London, UK; and Clinical Memory Research Unit (R.O.), Lund University, Sweden
| | - Bart N M van Berckel
- From the Department of Radiology & Nuclear Medicine (E.E.W., S.C.J.V., D.V., E.W., H.T., T.T., R.B., M.Y., F.B., A.D.W., B.N.M.v.B.) and Alzheimer Center Amsterdam, Department of Neurology (E.E.W., C.G., W.M.v.d.F., Y.A.L.P., P.S., R.O.), Amsterdam Neuroscience, and Department of Epidemiology and Biostatistics (W.M.v.d.F.), Vrije Universiteit Amsterdam, Amsterdam UMC; Department of Neurology, Alzheimer Center (J.M.P., E.L.v.d.E., L.A.A.G., J.C.v.S., H.S.), and Department of Radiology & Nuclear Medicine (D.M.E.v.A., D.A.K., M.S.), Erasmus MC University Medical Center, Rotterdam; Department of Pathology (A.J.M.R.), Amsterdam Neuroscience, Amsterdam UMC, location VUmc, the Netherlands; Institutes of Neurology & Healthcare Engineering (F.B.), UCL, London, UK; and Clinical Memory Research Unit (R.O.), Lund University, Sweden
| | - John C van Swieten
- From the Department of Radiology & Nuclear Medicine (E.E.W., S.C.J.V., D.V., E.W., H.T., T.T., R.B., M.Y., F.B., A.D.W., B.N.M.v.B.) and Alzheimer Center Amsterdam, Department of Neurology (E.E.W., C.G., W.M.v.d.F., Y.A.L.P., P.S., R.O.), Amsterdam Neuroscience, and Department of Epidemiology and Biostatistics (W.M.v.d.F.), Vrije Universiteit Amsterdam, Amsterdam UMC; Department of Neurology, Alzheimer Center (J.M.P., E.L.v.d.E., L.A.A.G., J.C.v.S., H.S.), and Department of Radiology & Nuclear Medicine (D.M.E.v.A., D.A.K., M.S.), Erasmus MC University Medical Center, Rotterdam; Department of Pathology (A.J.M.R.), Amsterdam Neuroscience, Amsterdam UMC, location VUmc, the Netherlands; Institutes of Neurology & Healthcare Engineering (F.B.), UCL, London, UK; and Clinical Memory Research Unit (R.O.), Lund University, Sweden
| | - Rik Ossenkoppele
- From the Department of Radiology & Nuclear Medicine (E.E.W., S.C.J.V., D.V., E.W., H.T., T.T., R.B., M.Y., F.B., A.D.W., B.N.M.v.B.) and Alzheimer Center Amsterdam, Department of Neurology (E.E.W., C.G., W.M.v.d.F., Y.A.L.P., P.S., R.O.), Amsterdam Neuroscience, and Department of Epidemiology and Biostatistics (W.M.v.d.F.), Vrije Universiteit Amsterdam, Amsterdam UMC; Department of Neurology, Alzheimer Center (J.M.P., E.L.v.d.E., L.A.A.G., J.C.v.S., H.S.), and Department of Radiology & Nuclear Medicine (D.M.E.v.A., D.A.K., M.S.), Erasmus MC University Medical Center, Rotterdam; Department of Pathology (A.J.M.R.), Amsterdam Neuroscience, Amsterdam UMC, location VUmc, the Netherlands; Institutes of Neurology & Healthcare Engineering (F.B.), UCL, London, UK; and Clinical Memory Research Unit (R.O.), Lund University, Sweden
| | - Harro Seelaar
- From the Department of Radiology & Nuclear Medicine (E.E.W., S.C.J.V., D.V., E.W., H.T., T.T., R.B., M.Y., F.B., A.D.W., B.N.M.v.B.) and Alzheimer Center Amsterdam, Department of Neurology (E.E.W., C.G., W.M.v.d.F., Y.A.L.P., P.S., R.O.), Amsterdam Neuroscience, and Department of Epidemiology and Biostatistics (W.M.v.d.F.), Vrije Universiteit Amsterdam, Amsterdam UMC; Department of Neurology, Alzheimer Center (J.M.P., E.L.v.d.E., L.A.A.G., J.C.v.S., H.S.), and Department of Radiology & Nuclear Medicine (D.M.E.v.A., D.A.K., M.S.), Erasmus MC University Medical Center, Rotterdam; Department of Pathology (A.J.M.R.), Amsterdam Neuroscience, Amsterdam UMC, location VUmc, the Netherlands; Institutes of Neurology & Healthcare Engineering (F.B.), UCL, London, UK; and Clinical Memory Research Unit (R.O.), Lund University, Sweden
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Ossenkoppele R, Smith R, Mattsson-Carlgren N, Groot C, Leuzy A, Strandberg O, Palmqvist S, Olsson T, Jögi J, Stormrud E, Cho H, Ryu YH, Choi JY, Boxer AL, Gorno-Tempini ML, Miller BL, Soleimani-Meigooni D, Iaccarino L, La Joie R, Baker S, Borroni E, Klein G, Pontecorvo MJ, Devous MD, Jagust WJ, Lyoo CH, Rabinovici GD, Hansson O. Accuracy of Tau Positron Emission Tomography as a Prognostic Marker in Preclinical and Prodromal Alzheimer Disease: A Head-to-Head Comparison Against Amyloid Positron Emission Tomography and Magnetic Resonance Imaging. JAMA Neurol 2021; 78:961-971. [PMID: 34180956 PMCID: PMC8240013 DOI: 10.1001/jamaneurol.2021.1858] [Citation(s) in RCA: 121] [Impact Index Per Article: 40.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/18/2022]
Abstract
Question What is the prognostic value of tau positron emission tomography (PET) for predicting cognitive decline across the clinical spectrum of Alzheimer disease? Findings In this longitudinal, multicenter prognostic study including 1431 participants, baseline tau PET predicted change in Mini-Mental State Examination scores during a mean (SD) follow-up of 1.9 (0.8) years. Moreover, tau PET outperformed established volumetric magnetic resonance imaging and amyloid PET markers in head-to-head comparisons, especially in participants with mild cognitive impairment and cognitively normal individuals who were positive for amyloid-β. Meaning These findings suggest that tau PET is a promising prognostic tool for predicting cognitive decline in preclinical and prodromal stages of Alzheimer disease. Importance Tau positron emission tomography (PET) tracers have proven useful for the differential diagnosis of dementia, but their utility for predicting cognitive change is unclear. Objective To examine the prognostic accuracy of baseline fluorine 18 (18F)–flortaucipir and [18F]RO948 (tau) PET in individuals across the Alzheimer disease (AD) clinical spectrum and to perform a head-to-head comparison against established magnetic resonance imaging (MRI) and amyloid PET markers. Design, Setting, and Participants This prognostic study collected data from 8 cohorts in South Korea, Sweden, and the US from June 1, 2014, to February 28, 2021, with a mean (SD) follow-up of 1.9 (0.8) years. A total of 1431 participants were recruited from memory clinics, clinical trials, or cohort studies; 673 were cognitively unimpaired (CU group; 253 [37.6%] positive for amyloid-β [Aβ]), 443 had mild cognitive impairment (MCI group; 271 [61.2%] positive for Aβ), and 315 had a clinical diagnosis of AD dementia (315 [100%] positive for Aβ). Exposures [18F]Flortaucipir PET in the discovery cohort (n = 1135) or [18F]RO948 PET in the replication cohort (n = 296), T1-weighted MRI (n = 1431), and amyloid PET (n = 1329) at baseline and repeated Mini-Mental State Examination (MMSE) evaluation. Main Outcomes and Measures Baseline [18F]flortaucipir/[18F]RO948 PET retention within a temporal region of interest, MRI-based AD-signature cortical thickness, and amyloid PET Centiloids were used to predict changes in MMSE using linear mixed-effects models adjusted for age, sex, education, and cohort. Mediation/interaction analyses tested whether associations between baseline tau PET and cognitive change were mediated by baseline MRI measures and whether age, sex, and APOE genotype modified these associations. Results Among 1431 participants, the mean (SD) age was 71.2 (8.8) years; 751 (52.5%) were male. Findings for [18F]flortaucipir PET predicted longitudinal changes in MMSE, and effect sizes were stronger than for AD-signature cortical thickness and amyloid PET across all participants (R2, 0.35 [tau PET] vs 0.24 [MRI] vs 0.17 [amyloid PET]; P < .001, bootstrapped for difference) in the Aβ-positive MCI group (R2, 0.25 [tau PET] vs 0.15 [MRI] vs 0.07 [amyloid PET]; P < .001, bootstrapped for difference) and in the Aβ-positive CU group (R2, 0.16 [tau PET] vs 0.08 [MRI] vs 0.08 [amyloid PET]; P < .001, bootstrapped for difference). These findings were replicated in the [18F]RO948 PET cohort. MRI mediated the association between [18F]flortaucipir PET and MMSE in the groups with AD dementia (33.4% [95% CI, 15.5%-60.0%] of the total effect) and Aβ-positive MCI (13.6% [95% CI, 0.0%-28.0%] of the total effect), but not the Aβ-positive CU group (3.7% [95% CI, −17.5% to 39.0%]; P = .71). Age (t = −2.28; P = .02), but not sex (t = 0.92; P = .36) or APOE genotype (t = 1.06; P = .29) modified the association between baseline [18F]flortaucipir PET and cognitive change, such that older individuals showed faster cognitive decline at similar tau PET levels. Conclusions and Relevance The findings of this prognostic study suggest that tau PET is a promising tool for predicting cognitive change that is superior to amyloid PET and MRI and may support the prognostic process in preclinical and prodromal stages of AD.
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Affiliation(s)
- Rik Ossenkoppele
- Clinical Memory Research Unit, Lund University, Malmö, Sweden.,Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam University Medical Center, Amsterdam, the Netherlands
| | - Ruben Smith
- Clinical Memory Research Unit, Lund University, Malmö, Sweden
| | - Niklas Mattsson-Carlgren
- Clinical Memory Research Unit, Lund University, Malmö, Sweden.,Department of Neurology, Skåne University Hospital, Lund, Sweden.,Wallenberg Centre for Molecular Medicine, Lund University, Lund, Sweden
| | - Colin Groot
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam University Medical Center, Amsterdam, the Netherlands
| | - Antoine Leuzy
- Clinical Memory Research Unit, Lund University, Malmö, Sweden
| | - Olof Strandberg
- Clinical Memory Research Unit, Lund University, Malmö, Sweden
| | | | - Tomas Olsson
- Department of Radiation Physics, Skåne University Hospital, Lund, Sweden
| | - Jonas Jögi
- Department of Clinical Physiology and Nuclear Medicine, Skåne University Hospital, Lund, Sweden
| | - Erik Stormrud
- Clinical Memory Research Unit, Lund University, Malmö, Sweden.,Memory Clinic, Skåne University Hospital, Malmö, Sweden
| | - Hanna Cho
- Department of Neurology, Gangnam Severance Hospital, Yonsei University College of Medicine, Seoul, South Korea
| | - Young Hoon Ryu
- Department of Nuclear Medicine, Gangnam Severance Hospital, Yonsei University College of Medicine, Seoul, South Korea
| | - Jae Yong Choi
- Department of Nuclear Medicine, Gangnam Severance Hospital, Yonsei University College of Medicine, Seoul, South Korea.,Division of Applied Radiological Imaging, Korea Institute Radiological and Medical Sciences, Seoul, South Korea
| | - Adam L Boxer
- Department of Neurology, Memory and Aging Center, University of California, San Francisco
| | - Maria L Gorno-Tempini
- Department of Neurology, Memory and Aging Center, University of California, San Francisco
| | - Bruce L Miller
- Department of Neurology, Memory and Aging Center, University of California, San Francisco
| | | | - Leonardo Iaccarino
- Department of Neurology, Memory and Aging Center, University of California, San Francisco
| | - Renaud La Joie
- Department of Neurology, Memory and Aging Center, University of California, San Francisco
| | - Suzanne Baker
- Lawrence Berkeley National Laboratory, Berkeley, California
| | | | | | | | | | - William J Jagust
- Lawrence Berkeley National Laboratory, Berkeley, California.,Helen Wills Neuroscience Institute, University of California, Berkeley
| | - Chul Hyoung Lyoo
- Department of Neurology, Gangnam Severance Hospital, Yonsei University College of Medicine, Seoul, South Korea
| | - Gil D Rabinovici
- Department of Neurology, Memory and Aging Center, University of California, San Francisco.,Department of Radiology and Biomedical Imaging, University of California, San Francisco.,Molecular Biophysics and Integrated Bioimaging Division, Lawrence Berkeley National Laboratory, Berkeley, California.,Associate Editor, JAMA Neurology
| | - Oskar Hansson
- Clinical Memory Research Unit, Lund University, Malmö, Sweden.,Memory Clinic, Skåne University Hospital, Malmö, Sweden
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Salvadó G, Grothe MJ, Groot C, Moscoso A, Schöll M, Gispert JD, Ossenkoppele R. Differential associations of APOE-ε2 and APOE-ε4 alleles with PET-measured amyloid-β and tau deposition in older individuals without dementia. Eur J Nucl Med Mol Imaging 2021; 48:2212-2224. [PMID: 33521872 PMCID: PMC8175302 DOI: 10.1007/s00259-021-05192-8] [Citation(s) in RCA: 24] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/16/2020] [Accepted: 01/03/2021] [Indexed: 01/07/2023]
Abstract
PURPOSE To examine associations between the APOE-ε2 and APOE-ε4 alleles and core Alzheimer's disease (AD) pathological hallmarks as measured by amyloid-β (Aβ) and tau PET in older individuals without dementia. METHODS We analyzed data from 462 ADNI participants without dementia who underwent Aβ ([18F]florbetapir or [18F]florbetaben) and tau ([18F]flortaucipir) PET, structural MRI, and cognitive testing. Employing APOE-ε3 homozygotes as the reference group, associations between APOE-ε2 and APOE-ε4 carriership with global Aβ PET and regional tau PET measures (entorhinal cortex (ERC), inferior temporal cortex, and Braak-V/VI neocortical composite regions) were investigated using linear regression models. In a subset of 156 participants, we also investigated associations between APOE genotype and regional tau accumulation over time using linear mixed models. Finally, we assessed whether Aβ mediated the cross-sectional and longitudinal associations between APOE genotype and tau. RESULTS Compared to APOE-ε3 homozygotes, APOE-ε2 carriers had lower global Aβ burden (βstd [95% confidence interval (CI)]: - 0.31 [- 0.45, - 0.16], p = 0.034) but did not differ on regional tau burden or tau accumulation over time. APOE-ε4 participants showed higher Aβ (βstd [95%CI]: 0.64 [0.42, 0.82], p < 0.001) and tau burden (βstd range: 0.27-0.51, all p < 0.006). In mediation analyses, APOE-ε4 only retained an Aβ-independent effect on tau in the ERC. APOE-ε4 showed a trend towards increased tau accumulation over time in Braak-V/VI compared to APOE-ε3 homozygotes (βstd [95%CI]: 0.10 [- 0.02, 0.18], p = 0.11), and this association was fully mediated by baseline Aβ. CONCLUSION Our data suggest that the established protective effect of the APOE-ε2 allele against developing clinical AD is primarily linked to resistance against Aβ deposition rather than tau pathology.
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Affiliation(s)
- Gemma Salvadó
- Alzheimer Prevention Program, Barcelonaβeta Brain Research Center (BBRC), Pasqual Maragall Foundation, C/ Wellington, 30 08005, Barcelona, Spain.
- IMIM (Hospital del Mar Medical Research Institute), Barcelona, Spain.
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands.
| | - Michel J Grothe
- Wallenberg Centre for Molecular and Translational Medicine, Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, University of Gothenburg, Gothenburg, Sweden.
- Unidad de Trastornos del Movimiento, Servicio de Neurología y Neurofisiología Clínica, Instituto de Biomedicina de Sevilla (IBiS), Hospital Universitario Virgen del Rocío/CSIC/Universidad de Sevilla, Avda. Manuel Siurot, s/n 41013, Seville, Spain.
| | - Colin Groot
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands
| | - Alexis Moscoso
- Wallenberg Centre for Molecular and Translational Medicine, Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, University of Gothenburg, Gothenburg, Sweden
| | - Michael Schöll
- Wallenberg Centre for Molecular and Translational Medicine, Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, University of Gothenburg, Gothenburg, Sweden
- Dementia Research Centre, Institute of Neurology, University College London, London, UK
| | - Juan Domingo Gispert
- Alzheimer Prevention Program, Barcelonaβeta Brain Research Center (BBRC), Pasqual Maragall Foundation, C/ Wellington, 30 08005, Barcelona, Spain
- IMIM (Hospital del Mar Medical Research Institute), Barcelona, Spain
- Universitat Pompeu Fabra, Barcelona, Spain
- Centro de Investigación Biomédica en Red de Bioingeniería, Biomateriales y Nanomedicina (CIBER-BBN), Madrid, Spain
| | - Rik Ossenkoppele
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands
- Clinical Memory Research Unit, Lund University, Lund, Sweden
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25
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Groot C, Risacher SL, Chen JQA, Dicks E, Saykin AJ, Mac Donald CL, Mez J, Trittschuh EH, Mukherjee S, Barkhof F, Scheltens P, van der Flier WM, Ossenkoppele R, Crane PK. Differential trajectories of hypometabolism across cognitively-defined Alzheimer's disease subgroups. Neuroimage Clin 2021; 31:102725. [PMID: 34153688 PMCID: PMC8238088 DOI: 10.1016/j.nicl.2021.102725] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 03/25/2021] [Revised: 05/28/2021] [Accepted: 06/08/2021] [Indexed: 11/26/2022]
Abstract
Cognitive-subgroups can be identified among individuals
with AD dementia. Subgroup-specific patterns and longitudinal trajectories of
hypometabolism observed. Regional hypometabolism matched respective cognitive
profiles of subgroups. Cognitive-classification yields biologically distinct
subgroups.
Disentangling biologically distinct subgroups of Alzheimer’s
disease (AD) may facilitate a deeper understanding of the neurobiology underlying
clinical heterogeneity. We employed longitudinal [18F]FDG-PET
standardized uptake value ratios (SUVRs) to map hypometabolism across
cognitively-defined AD subgroups. Participants were 384 amyloid-positive individuals
with an AD dementia diagnosis from ADNI who had a total of 1028 FDG-scans (mean time
between first and last scan: 1.6 ± 1.8 years). These participants were categorized
into subgroups on the basis of substantial impairment at time of dementia diagnosis
in a specific cognitive domain relative to the average across domains. This approach
resulted in groups of AD-Memory (n = 135), AD-Executive (n = 8), AD-Language
(n = 22), AD-Visuospatial (n = 44), AD-Multiple Domains (n = 15) and AD-No Domains
(for whom no domain showed substantial relative impairment; n = 160). Voxelwise
contrasts against controls revealed that all AD-subgroups showed progressive
hypometabolism compared to controls across temporoparietal regions at time of AD
diagnosis. Voxelwise and regions-of-interest (ROI)-based linear mixed model analyses
revealed there were also subgroup-specific hypometabolism patterns and trajectories.
The AD-Memory group had more pronounced hypometabolism compared to all other groups
in the medial temporal lobe and posterior cingulate, and faster decline in metabolism
in the medial temporal lobe compared to AD-Visuospatial. The AD-Language group had
pronounced lateral temporal hypometabolism compared to all other groups, and the
pattern of metabolism was also more asymmetrical (left < right) than all other
groups. The AD-Visuospatial group had faster decline in metabolism in parietal
regions compared to all other groups, as well as faster decline in the precuneus
compared to AD-Memory and AD-No Domains. Taken together, in addition to a common
pattern, cognitively-defined subgroups of people with AD dementia show
subgroup-specific hypometabolism patterns, as well as differences in trajectories of
metabolism over time. These findings provide support to the notion that
cognitively-defined subgroups are biologically distinct.
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Affiliation(s)
- Colin Groot
- Department of Neurology & Alzheimer Center, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands.
| | | | - J Q Alida Chen
- Department of Neurology & Alzheimer Center, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands.
| | - Ellen Dicks
- Department of Neurology & Alzheimer Center, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands.
| | - Andrew J Saykin
- Indiana University School of Medicine, Indianapolis, IN, USA.
| | | | - Jesse Mez
- Department of Neurology, Boston University School of Medicine, Boston, MA, USA; Alzheimer's Disease Center, Boston University School of Medicine, MA, USA.
| | - Emily H Trittschuh
- Psychiatry & Behavioral Science, University of Washington, Seattle, WA, USA; Veterans Affairs Puget Sound Health Care System, Geriatric Research, Education, & Clinical Center, Seattle, WA, USA
| | | | - Frederik Barkhof
- Department of Radiology and Nuclear Medicine, Amsterdam Neuroscience Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands; University College London, Institutes of Neurology & Healthcare Engineering, London, United Kingdom.
| | - Philip Scheltens
- Department of Neurology & Alzheimer Center, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands.
| | - Wiesje M van der Flier
- Department of Neurology & Alzheimer Center, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands; Epidemiology and Data Science, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands.
| | - Rik Ossenkoppele
- Department of Neurology & Alzheimer Center, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands; Lund University, Clinical Memory Research Unit, Lund, Sweden.
| | - Paul K Crane
- Department of Medicine, University of Washington, Seattle, WA, USA
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26
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Fletcher E, Gavett B, Crane P, Soldan A, Hohman T, Farias S, Widaman K, Groot C, Renteria MA, Zahodne L, DeCarli C, Mungas D. A robust brain signature region approach for episodic memory performance in older adults. Brain 2021; 144:1089-1102. [PMID: 33895818 PMCID: PMC8105039 DOI: 10.1093/brain/awab007] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/25/2020] [Revised: 10/11/2020] [Accepted: 10/30/2020] [Indexed: 01/26/2023] Open
Abstract
The brain signature concept aims to characterize brain regions most strongly associated with an outcome of interest. Brain signatures derive their power from data-driven searches that select features based solely on performance metrics of prediction or classification. This approach has important potential to delineate biologically relevant brain substrates for prediction or classification of future trajectories. Recent work has used exploratory voxel-wise or atlas-based searches, with some using machine learning techniques to define salient features. These have shown undoubted usefulness, but two issues remain. The preponderance of recent work has been aimed at categorical rather than continuous outcomes, and it is rare for non-atlas reliant voxel-based signatures to be reported that would be useful for modelling and hypothesis testing. We describe a cross-validated signature region model for structural brain components associated with baseline and longitudinal episodic memory across cognitively heterogeneous populations including normal, mild impairment and dementia. We used three non-overlapping cohorts of older participants: from the UC Davis Aging and Diversity cohort (n = 255; mean age 75.3 ± 7.1 years; 128 cognitively normal, 97 mild cognitive impairment, 30 demented and seven unclassified); from Alzheimer's Disease Neuroimaging Initiative (ADNI) 1 (n = 379; mean age 75.1 ± 7.2; 82 cognitively normal, 176 mild cognitive impairment, 121 Alzheimer's dementia); and from ADNI2/GO (n = 680; mean age 72.5 ± 7.1; 220 cognitively normal, 381 mild cognitive impairment and 79 Alzheimer's dementia). We used voxel-wise regression analysis, correcting for multiple comparisons, to generate an array of regional masks corresponding to different association strength levels of cortical grey matter with baseline memory and brain atrophy with memory change. Cognitive measures were episodic memory using Spanish and English Neuropsychological Assessment Scales instruments for UC Davis and ADNI-Mem for ADNI 1 and ADNI2/GO. Performance metric was the adjusted R2 coefficient of determination of each model explaining outcomes in two cohorts other than where it was computed. We compared within-cohort performances of signature models against each other and against other recent signature models of episodic memory. Findings were: (i) two independently generated signature region of interest models performed similarly in a third separate cohort; (ii) a signature region of interest generated in one imaging cohort replicated its performance level when explaining cognitive outcomes in each of other, separate cohorts; and (iii) this approach better explained baseline and longitudinal memory than other recent theory-driven and data-driven models. This suggests our approach can generate signatures that may be easily and robustly applied for modelling and hypothesis testing in mixed cognition cohorts.
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Affiliation(s)
- Evan Fletcher
- Department of Neurology, UC Davis School of Medicine, Sacramento, CA, USA
| | - Brandon Gavett
- School of Psychological Science, University of Western Australia, Perth, Australia
| | - Paul Crane
- University of Washington, Seattle, WA, USA
| | - Anja Soldan
- Department of Neurology, Johns Hopkins School of Medicine, Baltimore, MD, USA
| | - Timothy Hohman
- Department of Neurology, Vanderbilt Memory and Alzheimer’s Center, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Sarah Farias
- Department of Neurology, UC Davis School of Medicine, Sacramento, CA, USA
| | - Keith Widaman
- Graduate School of Education, UC Riverside, Riverside, CA, USA
| | - Colin Groot
- Department of Neurology and Alzheimer Center, VU University Medical Center, Amsterdam, The Netherlands
| | | | - Laura Zahodne
- Department of Psychology, University of Michigan, Ann Arbor, MI, USA
| | - Charles DeCarli
- Department of Neurology, UC Davis School of Medicine, Sacramento, CA, USA
| | - Dan Mungas
- Department of Neurology, UC Davis School of Medicine, Sacramento, CA, USA
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27
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Groot C, Grothe MJ, Mukherjee S, Jelistratova I, Jansen I, van Loenhoud AC, Risacher SL, Saykin AJ, Mac Donald CL, Mez J, Trittschuh EH, Gryglewski G, Lanzenberger R, Pijnenburg YAL, Barkhof F, Scheltens P, van der Flier WM, Crane PK, Ossenkoppele R. Differential patterns of gray matter volumes and associated gene expression profiles in cognitively-defined Alzheimer's disease subgroups. Neuroimage Clin 2021; 30:102660. [PMID: 33895633 PMCID: PMC8186562 DOI: 10.1016/j.nicl.2021.102660] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/11/2021] [Revised: 02/25/2021] [Accepted: 03/30/2021] [Indexed: 01/04/2023]
Abstract
The clinical presentation of Alzheimer's disease (AD) varies widely across individuals but the neurobiological mechanisms underlying this heterogeneity are largely unknown. Here, we compared regional gray matter (GM) volumes and associated gene expression profiles between cognitively-defined subgroups of amyloid-β positive individuals clinically diagnosed with AD dementia (age: 66 ± 7, 47% male, MMSE: 21 ± 5). All participants underwent neuropsychological assessment with tests covering memory, executive-functioning, language and visuospatial-functioning domains. Subgroup classification was achieved using a psychometric framework that assesses which cognitive domain shows substantial relative impairment compared to the intra-individual average across domains, which yielded the following subgroups in our sample; AD-Memory (n = 41), AD-Executive (n = 117), AD-Language (n = 33), AD-Visuospatial (n = 171). We performed voxel-wise contrasts of GM volumes derived from 3Tesla structural MRI between subgroups and controls (n = 127, age 58 ± 9, 42% male, MMSE 29 ± 1), and observed that differences in regional GM volumes compared to controls closely matched the respective cognitive profiles. Specifically, we detected lower medial temporal lobe GM volumes in AD-Memory, lower fronto-parietal GM volumes in AD-Executive, asymmetric GM volumes in the temporal lobe (left < right) in AD-Language, and lower GM volumes in posterior areas in AD-Visuospatial. In order to examine possible biological drivers of these differences in regional GM volumes, we correlated subgroup-specific regional GM volumes to brain-wide gene expression profiles based on a stereotactic characterization of the transcriptional architecture of the human brain as provided by the Allen human brain atlas. Gene-set enrichment analyses revealed that variations in regional expression of genes involved in processes like mitochondrial respiration and metabolism of proteins were associated with patterns of regional GM volume across multiple subgroups. Other gene expression vs GM volume-associations were only detected in particular subgroups, e.g., genes involved in the cell cycle for AD-Memory, specific sets of genes related to protein metabolism in AD-Language, and genes associated with modification of gene expression in AD-Visuospatial. We conclude that cognitively-defined AD subgroups show neurobiological differences, and distinct biological pathways may be involved in the emergence of these differences.
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Affiliation(s)
- Colin Groot
- Department of Neurology & Alzheimer Center, Amsterdam University Medical Center - Location VU University Medical Center, Amsterdam, The Netherlands.
| | - Michel J Grothe
- Unidad de Trastornos del Movimiento, Servicio de Neurología y Neurofisiología Clínica, Instituto de Biomedicina de Sevilla, Hospital Universitario Virgen del Rocío/CSIC/Universidad de Sevilla, Seville, Spain; German Center for Neurodegenerative Diseases (DZNE), Rostock, Germany.
| | | | | | - Iris Jansen
- Department of Complex Trait Genetics, Center for Neurogenomics and Cognitive Research, Amsterdam Neuroscience, VU University, Amsterdam, The Netherlands.
| | - Anna Catharina van Loenhoud
- Department of Neurology & Alzheimer Center, Amsterdam University Medical Center - Location VU University Medical Center, Amsterdam, The Netherlands.
| | | | - Andrew J Saykin
- Indiana University School of Medicine, Indianapolis, IN, USA.
| | | | - Jesse Mez
- Department of Neurology, Boston University School of Medicine, Boston, MA, USA; Alzheimer's Disease Center, Boston University School of Medicine, MA, USA.
| | - Emily H Trittschuh
- Psychiatry & Behavioral Science, University of Washington, Seattle, WA, USA; Veterans Affairs Puget Sound Health Care System, Geriatric Research, Education, & Clinical Center, Seattle, WA, USA.
| | - Gregor Gryglewski
- Department of Psychiatry and Psychotherapy, Medical University of Vienna, Vienna, Austria.
| | - Rupert Lanzenberger
- Department of Psychiatry and Psychotherapy, Medical University of Vienna, Vienna, Austria.
| | - Yolande A L Pijnenburg
- Department of Neurology & Alzheimer Center, Amsterdam University Medical Center - Location VU University Medical Center, Amsterdam, The Netherlands.
| | - Frederik Barkhof
- Department of Radiology and Nuclear Medicine, Amsterdam University Medical Center - Location VU University Medical Center, Amsterdam, The Netherlands; University College London, Institutes of Neurology & Healthcare Engineering, London, United Kingdom.
| | - Philip Scheltens
- Department of Neurology & Alzheimer Center, Amsterdam University Medical Center - Location VU University Medical Center, Amsterdam, The Netherlands.
| | - Wiesje M van der Flier
- Department of Neurology & Alzheimer Center, Amsterdam University Medical Center - Location VU University Medical Center, Amsterdam, The Netherlands; Epidemiology and Biostatistics, Amsterdam University Medical Center - Location VU University Medical Center, Amsterdam, The Netherlands.
| | - Paul K Crane
- Department of Medicine, University of Washington, Seattle, WA, USA.
| | - Rik Ossenkoppele
- Department of Neurology & Alzheimer Center, Amsterdam University Medical Center - Location VU University Medical Center, Amsterdam, The Netherlands; Lund University, Clinical Memory Research Unit, Lund, Sweden.
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28
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van Engelen MPE, Rozemuller AJM, Ulugut Erkoyun H, Groot C, Fieldhouse JLP, Koene T, Ossenkoppele R, Gossink FT, Krudop WA, Vijverberg EGB, Dols A, Barkhof F, Berckel BNMV, Scheltens P, Brain Bank N, Pijnenburg YAL. The bvFTD phenocopy syndrome: a case study supported by repeated MRI, [ 18F]FDG-PET and pathological assessment. Neurocase 2021; 27:181-189. [PMID: 33881963 DOI: 10.1080/13554794.2021.1905855] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/27/2022]
Abstract
A clinical syndrome with neuropsychiatric features of bvFTD without neuroimaging abnormalities and a lack of decline is a phenocopy of bvFTD (phFTD). Growing evidence suggests that psychological, psychiatric and environmental factors underlie phFTD. We describe a patient diagnosed with bvFTD prior to the revision of the diagnostic guidelines of FTD. Repeated neuroimaging was normal and there was no FTD pathology at autopsy, rejecting the diagnosis. We hypothesize on etiological factors that on hindsight might have played a role. This case report contributes to the understanding of phFTD and adds to the sparse literature of the postmortem assessment of phFTD.
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Affiliation(s)
- Marie-Paule E van Engelen
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - Annemieke J M Rozemuller
- Department of Pathology, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - Hülya Ulugut Erkoyun
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - Colin Groot
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - Jay L P Fieldhouse
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - Ted Koene
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - Rik Ossenkoppele
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands.,Lund University, Clinical Memory Research Unit, Lund, Sweden
| | - Flora T Gossink
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands.,Department of Old Age Psychiatry, Amsterdam, The Netherlands
| | - Welmoed A Krudop
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands.,Department of Old Age Psychiatry, Amsterdam, The Netherlands.,Department of Psychiatry, Universitair Medisch Centrum Utrecht, Utrecht, The Netherlands
| | - Everard G B Vijverberg
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - Annemieke Dols
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands.,Department of Old Age Psychiatry, Amsterdam, The Netherlands
| | - Frederik Barkhof
- Department of Radiology & Nuclear Medicine, Amsterdam UMC, Vrije Universiteit Amsterdam, The Netherlands.,Institutes of Neurology and Healthcare Engineering, University College London, London, England, UK
| | - Bart N M Van Berckel
- Department of Radiology & Nuclear Medicine, Amsterdam UMC, Vrije Universiteit Amsterdam, The Netherlands
| | - Philip Scheltens
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | | | - Yolande A L Pijnenburg
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
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29
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Ulugut Erkoyun H, Groot C, Heilbron R, Nelissen A, van Rossum J, Jutten R, Koene T, van der Flier WM, Wattjes MP, Scheltens P, Ossenkoppele R, Barkhof F, Pijnenburg Y. A clinical-radiological framework of the right temporal variant of frontotemporal dementia. Brain 2021; 143:2831-2843. [PMID: 32830218 PMCID: PMC9172625 DOI: 10.1093/brain/awaa225] [Citation(s) in RCA: 65] [Impact Index Per Article: 21.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/05/2019] [Revised: 05/12/2020] [Accepted: 05/28/2020] [Indexed: 12/11/2022] Open
Abstract
The concept of the right temporal variant of frontotemporal dementia (rtvFTD) is still equivocal. The syndrome accompanying predominant right anterior temporal atrophy has previously been described as memory loss, prosopagnosia, getting lost and behavioural changes. Accurate detection is challenging, as the clinical syndrome might be confused with either behavioural variant FTD (bvFTD) or Alzheimer’s disease. Furthermore, based on neuroimaging features, the syndrome has been considered a right-sided variant of semantic variant primary progressive aphasia (svPPA). Therefore, we aimed to demarcate the clinical and neuropsychological characteristics of rtvFTD versus svPPA, bvFTD and Alzheimer’s disease. Moreover, we aimed to compare its neuroimaging profile against svPPA, which is associated with predominant left anterior temporal atrophy. Of 619 subjects with a clinical diagnosis of frontotemporal dementia or primary progressive aphasia, we included 70 subjects with a negative amyloid status in whom predominant right temporal lobar atrophy was identified based on blinded visual assessment of their initial brain MRI scans. Clinical symptoms were assessed retrospectively and compared with age- and sex-matched patients with svPPA (n = 70), bvFTD (n = 70) and Alzheimer’s disease (n = 70). Prosopagnosia, episodic memory impairment and behavioural changes such as disinhibition, apathy, compulsiveness and loss of empathy were the most common initial symptoms, whereas during the disease course, patients developed language problems such as word-finding difficulties and anomia. Distinctive symptoms of rtvFTD compared to the other groups included depression, somatic complaints, and motor/mental slowness. Aside from right temporal atrophy, the imaging pattern showed volume loss of the right ventral frontal area and the left temporal lobe, which represented a close mirror image of svPPA. Atrophy of the bilateral temporal poles and the fusiform gyrus were associated with prosopagnosia in rtvFTD. Our results highlight that rtvFTD has a unique clinical presentation. Since current diagnostic criteria do not cover specific symptoms of the rtvFTD, we propose a diagnostic tree to be used to define diagnostic criteria and call for an international validation.
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Affiliation(s)
- Hulya Ulugut Erkoyun
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands
| | - Colin Groot
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands
| | - Ronja Heilbron
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands
| | - Anne Nelissen
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands
| | - Jonathan van Rossum
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands
| | - Roos Jutten
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands
| | - Ted Koene
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands
| | - Wiesje M van der Flier
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands.,Department of Epidemiology and Biostatistics, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands
| | - Mike P Wattjes
- Department of Radiology and Nuclear Medicine, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands.,Department of Diagnostic and Interventional Neuroradiology, Hannover Medical School, Hannover, Germany
| | - Philip Scheltens
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands
| | - Rik Ossenkoppele
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands.,Lund University, Clinical Memory Research Unit, Lund, Sweden
| | - Frederik Barkhof
- Department of Radiology and Nuclear Medicine, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands.,UCL Institutes of Neurology and Healthcare Engineering, University College London, UK
| | - Yolande Pijnenburg
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands
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30
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Krishnadas N, Doré V, Lamb F, Groot C, McCrory P, Guzman R, Mulligan R, Huang K, O'Donnell M, Ponsford J, Hopwood M, Villemagne VL, Rowe CC. Case Report: 18F-MK6240 Tau Positron Emission Tomography Pattern Resembling Chronic Traumatic Encephalopathy in a Retired Australian Rules Football Player. Front Neurol 2020; 11:598980. [PMID: 33414760 PMCID: PMC7783156 DOI: 10.3389/fneur.2020.598980] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/26/2020] [Accepted: 11/24/2020] [Indexed: 12/14/2022] Open
Abstract
Introduction: It remains unclear if tau imaging may assist diagnosis of chronic traumatic encephalopathy (CTE). Flortaucipir PET has shown superior frontal with medial temporal tau binding consistent with the provisional neuropathological criteria for mid-stage CTE in group-level analyses of retired symptomatic NFL players and in one individual with pathologically confirmed CTE. 18F-MK6240 is a new PET ligand that has high affinity for tau. We present the case of a 63-year-old cognitively impaired, former Australian rules football player with distinct superior frontal and medial temporal 18F-MK6240 binding and show it to be significantly different to the pattern seen in prodromal Alzheimer's disease (AD). Findings: The participant was recruited for a study of amyloid-β and tau several decades after traumatic brain injury. He had multiple concussions during his football career but no cognitive complaints at retirement. A thalamic stroke in his mid 50s left stable mild cognitive deficits but family members reported further short-term memory, behavioral, and personality decline preceding the study. Imaging showed extensive small vessel disease on MRI, a moderate burden of amyloid-β plaques, and 18F-MK6240 binding in bilateral superior frontal and medial temporal cortices. Voxel-wise analysis demonstrated that the frontally predominant pattern of the participant was significantly different to the posterior temporo-parietal predominant pattern of prodromal AD. Conclusion: Although lacking neuropathological examination to distinguish CTE from a variant of AD, the clear demonstration of a CTE-like tau pattern in a single at-risk individual suggests further research on the potential of 18F-MK6240 PET for identifying CTE is warranted.
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Affiliation(s)
- Natasha Krishnadas
- Florey Department of Neuroscience and Mental Health, The University of Melbourne, Parkville, VIC, Australia.,Department of Molecular Imaging & Therapy, Austin Health, Heidelberg, VIC, Australia
| | - Vincent Doré
- Department of Molecular Imaging & Therapy, Austin Health, Heidelberg, VIC, Australia.,The Australian e-Health Research Centre, CSIRO Health & Biosecurity, Parkville, VIC, Australia
| | - Fiona Lamb
- Department of Molecular Imaging & Therapy, Austin Health, Heidelberg, VIC, Australia
| | - Colin Groot
- Department of Neurology, Alzheimer Center Amsterdam, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam, Netherlands
| | - Paul McCrory
- The Florey Institute of Neuroscience and Mental Health, Parkville, VIC, Australia
| | - Rodney Guzman
- Department of Molecular Imaging & Therapy, Austin Health, Heidelberg, VIC, Australia
| | - Rachel Mulligan
- Department of Molecular Imaging & Therapy, Austin Health, Heidelberg, VIC, Australia
| | - Kun Huang
- Department of Molecular Imaging & Therapy, Austin Health, Heidelberg, VIC, Australia
| | - Meaghan O'Donnell
- Phoenix Australia, Parkville, VIC, Australia.,The Department of Psychiatry, The University of Melbourne, Parkville, VIC, Australia
| | - Jennie Ponsford
- Monash-Epworth Rehabilitation Centre, Turner Institute for Brain and Mental Health, Monash University, Clayton, VIC, Australia
| | - Malcolm Hopwood
- The Department of Psychiatry, The University of Melbourne, Parkville, VIC, Australia
| | - Victor L Villemagne
- Department of Molecular Imaging & Therapy, Austin Health, Heidelberg, VIC, Australia
| | - Christopher C Rowe
- Department of Molecular Imaging & Therapy, Austin Health, Heidelberg, VIC, Australia.,The Florey Institute of Neuroscience and Mental Health, Parkville, VIC, Australia
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31
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Choi S, Mukherjee S, Gibbons LE, Sanders RE, Jones RN, Tommet D, Mez J, Trittschuh EH, Saykin A, Lamar M, Rabin L, Foldi NS, Sikkes S, Jutten RJ, Grandoit E, Mac Donald C, Risacher S, Groot C, Ossenkoppele R, Crane PK. Development and validation of language and visuospatial composite scores in ADNI. Alzheimers Dement (N Y) 2020; 6:e12072. [PMID: 33313380 PMCID: PMC7718716 DOI: 10.1002/trc2.12072] [Citation(s) in RCA: 21] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 07/15/2020] [Accepted: 07/28/2020] [Indexed: 12/24/2022]
Abstract
INTRODUCTION Composite scores may be useful to summarize overall language or visuospatial functioning in studies of older adults. METHODS We used item response theory to derive composite measures for language (ADNI-Lan) and visuospatial functioning (ADNI-VS) from the cognitive battery administered in the Alzheimer's Disease Neuroimaging Initiative (ADNI). We evaluated the scores among groups of people with normal cognition, mild cognitive impairment (MCI), and Alzheimer's disease (AD) in terms of responsiveness to change, association with imaging findings, and ability to differentiate between MCI participants who progressed to AD dementia and those who did not progress. RESULTS ADNI-Lan and ADNI-VS were able to detect change over time and predict conversion from MCI to AD. They were associated with most of the pre-specified magnetic resonance imaging measures. ADNI-Lan had strong associations with a cerebrospinal fluid biomarker pattern. DISCUSSION ADNI-Lan and ADNI-VS may be useful composites for language and visuospatial functioning in ADNI.
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Affiliation(s)
- Seo‐Eun Choi
- Department of MedicineUniversity of WashingtonSeattleWashingtonUSA
| | | | - Laura E. Gibbons
- Department of MedicineUniversity of WashingtonSeattleWashingtonUSA
| | | | - Richard N. Jones
- Department of NeurologyBrown UniversityProvidenceRhode IslandUSA
| | - Douglas Tommet
- Department of NeurologyBrown UniversityProvidenceRhode IslandUSA
| | - Jesse Mez
- Department of NeurologyBoston UniversityBostonMassachusettsUSA
| | - Emily H. Trittschuh
- Department of PsychiatryUniversity of WashingtonSeattleWashingtonUSA
- Puget Sound Veterans AdministrationGeriatric Research Education and Clinical CenterVA Puget Sound Health Care SystemSeattleWashingtonUSA
| | - Andrew Saykin
- Department of Radiology and Alzheimer's Research CenterIndiana UniversityIndianapolisIndianaUSA
| | - Melissa Lamar
- Rush Alzheimer's Disease Center and Department of Behavioral Sciences and PsychiatryRush University Medical CenterChicagoIllinoisUSA
| | - Laura Rabin
- Department of PsychologyCity University of New York–BrooklynNew YorkUSA
| | - Nancy S. Foldi
- Department of PsychologyCity University of New York–Queens CollegeNew YorkUSA
| | - Sietske Sikkes
- Alzheimer CenterAmsterdam UMC ‐ VU University Medical CenterAmsterdamthe Netherlands
| | - Roos J. Jutten
- Alzheimer CenterAmsterdam UMC ‐ VU University Medical CenterAmsterdamthe Netherlands
| | - Evan Grandoit
- Department of PsychologyNorthwestern UniversityEvanstonIllinoisUSA
| | | | - Shannon Risacher
- Department of Radiology and Alzheimer's Research CenterIndiana UniversityIndianapolisIndianaUSA
| | - Colin Groot
- Alzheimer CenterAmsterdam UMC ‐ VU University Medical CenterAmsterdamthe Netherlands
| | - Rik Ossenkoppele
- Alzheimer CenterAmsterdam UMC ‐ VU University Medical CenterAmsterdamthe Netherlands
- Clinical Memory Research UnitLund UniversityLundSweden
| | | | - Paul K. Crane
- Department of MedicineUniversity of WashingtonSeattleWashingtonUSA
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32
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Groot C, Dore V, Robertson JS, Burnham SC, Savage G, Ossenkoppele R, Rowe CC, Villemagne VLL. The effects of mesial temporal tau in Ab‐negative cognitively normal older adults. Alzheimers Dement 2020. [DOI: 10.1002/alz.045607] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
Affiliation(s)
- Colin Groot
- Alzheimer Center and Department of Neurology Amsterdam Neuroscience VU University Medical Center Amsterdam Netherlands
| | | | - Joanne S Robertson
- The Florey Institute of Neuroscience and Mental Health Melbourne Australia
| | | | | | - Rik Ossenkoppele
- Alzheimer Center Amsterdam Department of Neurology Amsterdam Neuroscience Vrije Universiteit Amsterdam Amsterdam UMC Amsterdam Netherlands
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Grothe MJ, Salvadó G, Groot C, Moscoso A, Gispert JD, Schöll M, Ossenkoppele R. Differential effects of APOE2 and APOE4 alleles on PET‐measured amyloid‐β and tau deposition in older individuals without dementia. Alzheimers Dement 2020. [DOI: 10.1002/alz.040440] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Affiliation(s)
- Michel J. Grothe
- Wallenberg Centre for Molecular and Translational Medicine University of Gothenburg Gothenburg Sweden
- Institute of Biomedicine of Seville‐IBiS Seville Spain
| | - Gemma Salvadó
- Barcelonaβeta Brain Research Center (BBRC) Pasqual Maragall Foundation Barcelona Spain
| | - Colin Groot
- VU University Medical Center, Amsterdam UMC Amsterdam Netherlands
| | - Alexis Moscoso
- Wallenberg Centre for Molecular and Translational Medicine University of Gothenburg Gothenburg Sweden
| | | | - Michael Schöll
- University of Gothenburg Gothenburg Sweden
- University College London London United Kingdom
| | - Rik Ossenkoppele
- VU University Medical Center, Amsterdam UMC Amsterdam Netherlands
- Clinical Memory Research Unit Lund University Malmö Sweden
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Choi S, Mukherjee S, Gibbons LE, Sanders RE, Jones RN, Tommet D, Mez J, Trittschuh EH, Saykin AJ, Lamar M, Rabin L, Foldi N, Sikkes SA, Jutten RJ, Grandoit E, MacDonald C, Risacher SL, Groot C, Ossenkoppele R, Crane PK. Development and validation of composite scores for language and visuospatial functioning in ADNI. Alzheimers Dement 2020. [DOI: 10.1002/alz.045508] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
Affiliation(s)
| | | | | | | | - Richard N. Jones
- Warren Alpert Medical School of Brown University Providence RI USA
| | - Douglas Tommet
- Warren Alpert Medical School Brown University Providence RI USA
| | - Jesse Mez
- Boston University Alzheimer's Disease Center Boston MA USA
| | | | | | | | - Laura Rabin
- Brooklyn College of the City, University of New York Brooklyn NY USA
| | | | | | - Roos J. Jutten
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience Amsterdam UMC, Vrije Universiteit Amsterdam Amsterdam Netherlands
| | | | | | | | - Colin Groot
- Alzheimer Center and Department of Neurology, Amsterdam Neuroscience VU University Medical Center Amsterdam Netherlands
| | - Rik Ossenkoppele
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience Vrije Universiteit Amsterdam, Amsterdam UMC Amsterdam Netherlands
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35
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Krishnadas N, Groot C, Dore V, Burnham SC, Huang K, Masters CL, Martins RN, Maruff PT, Ames D, Fripp J, Bourgeat P, Goh AM, Villemagne VL, Rowe CC. The association between mesial temporal tau with age, cognition and neocortical tau in Aβ cognitively unimpaired individuals using MK‐6240. Alzheimers Dement 2020. [DOI: 10.1002/alz.045713] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
Affiliation(s)
- Natasha Krishnadas
- Florey Department of Neurosciences and Mental Health The University of Melbourne Melbourne Australia
- Austin Health Melbourne Australia
| | - Colin Groot
- Alzheimer Center and Department of Neurology Amsterdam Neuroscience, VU University Medical Center Amsterdam Netherlands
| | | | | | | | | | | | | | - David Ames
- The University of Melbourne Parkville Australia
| | - Jurgen Fripp
- CSIRO Health and Biosecurity, Australian E‐Health Research Centre Brisbane Australia
| | - Pierrick Bourgeat
- CSIRO Health and Biosecurity, Australian E‐Health Research Centre Brisbane Australia
| | - Anita M.Y. Goh
- Neuropsychiatry Royal Melbourne Hospital Parkville Australia
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36
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Groot C. Multimodal imaging correlates of the protective APOE2 allele. Alzheimers Dement 2020. [DOI: 10.1002/alz.039421] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Affiliation(s)
- Colin Groot
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC Amsterdam Netherlands
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37
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Singleton EH, Rijkers C, Groot C, Papma JM, Gillissen F, van Der Flier W, Scheltens P, Pijnenburg YA, Ossenkoppele R. The evolution of neuropsychiatric symptoms in atypical variants of Alzheimer’s disease. Alzheimers Dement 2020. [DOI: 10.1002/alz.045236] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
Affiliation(s)
- Ellen H. Singleton
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience Vrije Universiteit Amsterdam, Amsterdam University Medical Center Amsterdam Netherlands
| | - Chrissy Rijkers
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience Vrije Universiteit Amsterdam, Amsterdam University Medical Center Amsterdam Netherlands
| | - Colin Groot
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience Vrije Universiteit Amsterdam, Amsterdam University Medical Center Amsterdam Netherlands
| | - Janne M. Papma
- Erasmus Medical Centre Rotterdam Netherlands
- Department of Radiology Erasmus University Medical Center Rotterdam Netherlands
| | - Freek Gillissen
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience Vrije Universiteit Amsterdam, Amsterdam University Medical Center Amsterdam Netherlands
| | - Wiesje van Der Flier
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Amsterdam UMC Vrije Universiteit Amsterdam Amsterdam Netherlands
| | - Philip Scheltens
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Amsterdam UMC Vrije Universiteit Amsterdam Amsterdam Netherlands
| | - Yolande A.L. Pijnenburg
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience Vrije Universiteit Amsterdam, Amsterdam University Medical Center Amsterdam Netherlands
| | - Rik Ossenkoppele
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience Vrije Universiteit Amsterdam, Amsterdam UMC Amsterdam Netherlands
- Clinical Memory Research Unit, Department of Clinical Sciences Mälmo Lund University Lund Sweden
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38
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Reimand J, Groot C, Teunissen CE, Windhorst AD, Boellaard R, Barkhof F, Nazarenko S, van der Flier WM, van Berckel BNM, Scheltens P, Ossenkoppele R, Bouwman F. Why Is Amyloid-β PET Requested After Performing CSF Biomarkers? J Alzheimers Dis 2020; 73:559-569. [PMID: 31796674 PMCID: PMC7081099 DOI: 10.3233/jad-190836] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/08/2023]
Abstract
BACKGROUND Amyloid-β positron emission tomography (PET) and cerebrospinal fluid (CSF) Aβ42 are considered interchangeable for clinical diagnosis of Alzheimer's disease. OBJECTIVE To explore the clinical reasoning for requesting additional amyloid-β PET after performing CSF biomarkers. METHODS We retrospectively identified 72 memory clinic patients who underwent amyloid-β PET after CSF biomarkers analysis for clinical diagnostic evaluation between 2011 and 2019. We performed patient chart reviews to identify factors which led to additional amyloid-β PET. Additionally, we assessed accordance with appropriate-use-criteria (AUC) for amyloid-β PET. RESULTS Mean patient age was 62.0 (SD = 8.1) and mean Mini-Mental State Exam score was 23.6 (SD = 3.8). CSF analysis conflicting with the clinical diagnosis was the most frequent reason for requesting an amyloid-β PET scan (n = 53, 74%), followed by incongruent MRI (n = 16, 22%), unusual clinical presentation (n = 11, 15%) and young age (n = 8, 11%). An amyloid-β PET scan was rarely (n = 5, 7%) requested in patients with a CSF Aβ+/tau+ status. Fifteen (47%) patients with a post-PET diagnosis of AD had a predominantly non-amnestic presentation. In n = 11 (15%) cases, the reason that the clinician requested amyloid-β was not covered by AUC. This happened most often (n = 7) when previous CSF analysis did not support current clinical diagnosis, which led to requesting amyloid-β PET. CONCLUSION In this single-center study, the main reason for requesting an amyloid-β PET scan after performing CSF biomarkers was the occurrence of a mismatch between the primary clinical diagnosis and CSF Aβ/tau results.
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Affiliation(s)
- Juhan Reimand
- Department of Neurology & Alzheimer Center Amsterdam, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, the Netherlands.,Department of Health Technologies, Tallinn University of Technology, Tallinn, Estonia.,Radiology Centre, North Estonia Medical Centre, Tallinn, Estonia
| | - Colin Groot
- Department of Neurology & Alzheimer Center Amsterdam, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, the Netherlands
| | - Charlotte E Teunissen
- Neurochemistry Laboratory, Department of Clinical Chemistry, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands
| | - Albert D Windhorst
- Department of Radiology & Nuclear Medicine, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands
| | - Ronald Boellaard
- Department of Radiology & Nuclear Medicine, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands
| | - Frederik Barkhof
- Department of Radiology & Nuclear Medicine, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands.,Centre for Medical Image Computing, Medical Physics and Biomedical Engineering, UCL, United Kingdom
| | - Sergei Nazarenko
- Department of Health Technologies, Tallinn University of Technology, Tallinn, Estonia
| | - Wiesje M van der Flier
- Department of Neurology & Alzheimer Center Amsterdam, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, the Netherlands.,Department of Epidemiology & Biostatistics, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, the Netherlands
| | - Bart N M van Berckel
- Department of Radiology & Nuclear Medicine, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands
| | - Philip Scheltens
- Department of Neurology & Alzheimer Center Amsterdam, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, the Netherlands
| | - Rik Ossenkoppele
- Department of Neurology & Alzheimer Center Amsterdam, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, the Netherlands.,Clinical Memory Research Unit, Lund University, Lund, Sweden
| | - Femke Bouwman
- Department of Neurology & Alzheimer Center Amsterdam, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, the Netherlands
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39
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Singleton EH, Pijnenburg YAL, Sudre CH, Groot C, Kochova E, Barkhof F, La Joie R, Rosen HJ, Seeley WW, Miller B, Cardoso MJ, Papma J, Scheltens P, Rabinovici GD, Ossenkoppele R. Investigating the clinico-anatomical dissociation in the behavioral variant of Alzheimer disease. Alzheimers Res Ther 2020; 12:148. [PMID: 33189136 PMCID: PMC7666520 DOI: 10.1186/s13195-020-00717-z] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/04/2020] [Accepted: 10/26/2020] [Indexed: 12/30/2022]
Abstract
BACKGROUND We previously found temporoparietal-predominant atrophy patterns in the behavioral variant of Alzheimer's disease (bvAD), with relative sparing of frontal regions. Here, we aimed to understand the clinico-anatomical dissociation in bvAD based on alternative neuroimaging markers. METHODS We retrospectively included 150 participants, including 29 bvAD, 28 "typical" amnestic-predominant AD (tAD), 28 behavioral variant of frontotemporal dementia (bvFTD), and 65 cognitively normal participants. Patients with bvAD were compared with other diagnostic groups on glucose metabolism and metabolic connectivity measured by [18F]FDG-PET, and on subcortical gray matter and white matter hyperintensity (WMH) volumes measured by MRI. A receiver-operating-characteristic-analysis was performed to determine the neuroimaging measures with highest diagnostic accuracy. RESULTS bvAD and tAD showed predominant temporoparietal hypometabolism compared to controls, and did not differ in direct contrasts. However, overlaying statistical maps from contrasts between patients and controls revealed broader frontoinsular hypometabolism in bvAD than tAD, partially overlapping with bvFTD. bvAD showed greater anterior default mode network (DMN) involvement than tAD, mimicking bvFTD, and reduced connectivity of the posterior cingulate cortex with prefrontal regions. Analyses of WMH and subcortical volume showed closer resemblance of bvAD to tAD than to bvFTD, and larger amygdalar volumes in bvAD than tAD respectively. The top-3 discriminators for bvAD vs. bvFTD were FDG posterior-DMN-ratios (bvAD bvFTD, area under the curve [AUC] range 0.85-0.91, all p < 0.001). The top-3 for bvAD vs. tAD were amygdalar volume (bvAD>tAD), MRI anterior-DMN-ratios (bvADCONCLUSIONS Subtle frontoinsular hypometabolism and anterior DMN involvement may underlie the prominent behavioral phenotype in bvAD.
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Affiliation(s)
- Ellen H. Singleton
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, the Netherlands
| | - Yolande A. L. Pijnenburg
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, the Netherlands
| | - Carole H. Sudre
- School of Biomedical Engineering and Imaging Sciences, King’s College London, London, UK
| | - Colin Groot
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, the Netherlands
| | - Elena Kochova
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, the Netherlands
| | - Frederik Barkhof
- Department of Radiology and Nuclear Medicine, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, the Netherlands
- Center for Medical Image Computing, Department of Medical Physics and Biomedical Engineering, University College London, London, UK
| | - Renaud La Joie
- Department of Neurology, Memory and Aging Center, University of California San Francisco, San Francisco, USA
| | - Howard J. Rosen
- Department of Neurology, Memory and Aging Center, University of California San Francisco, San Francisco, USA
| | - William W. Seeley
- Department of Neurology, Memory and Aging Center, University of California San Francisco, San Francisco, USA
| | - Bruce Miller
- Department of Neurology, Memory and Aging Center, University of California San Francisco, San Francisco, USA
| | - M. Jorge Cardoso
- School of Biomedical Engineering and Imaging Sciences, King’s College London, London, UK
- Translational Imaging Group, CMIC, Department of Medical Physics and Biomedical Engineering, University College London, London, UK
| | - Janne Papma
- Department of Neurology, Erasmus University Medical Center, Rotterdam, the Netherlands
- Department of Radiology, Erasmus University Medical Center, Rotterdam, the Netherlands
| | - Philip Scheltens
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, the Netherlands
| | - Gil D. Rabinovici
- Department of Neurology, Memory and Aging Center, University of California San Francisco, San Francisco, USA
- Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, USA
- Molecular Biophysics and Integrated Bioimaging Division, Lawrence Berkeley National Laboratory, Berkeley, CA USA
- Helen Wills Neuroscience Institute, University of California Berkeley, Berkeley, USA
| | - Rik Ossenkoppele
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, the Netherlands
- Clinical Memory Research Unit, Lund University, Lund, Sweden
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40
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Groot C, Doré V, Robertson J, Burnham SC, Savage G, Ossenkoppele R, Rowe CC, Villemagne VL. Mesial temporal tau is related to worse cognitive performance and greater neocortical tau load in amyloid-β-negative cognitively normal individuals. Neurobiol Aging 2020; 97:41-48. [PMID: 33130455 DOI: 10.1016/j.neurobiolaging.2020.09.017] [Citation(s) in RCA: 20] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/06/2020] [Revised: 08/10/2020] [Accepted: 09/15/2020] [Indexed: 12/27/2022]
Abstract
We examined whether mesial temporal (Me) tau relates to cognitive performance in 47 amyloid-β (Aβ)-negative, cognitively normal older adults (>60 years old). Me-tau was measured using [18F]flortaucipir-positron emission tomography standardized uptake value ratio. The effect of continuous and categorical (stratified at standardized uptake value ratio = 1.2 [21% Me-positive]) Me-tau on cognition (mini-mental state examination, pre-Alzheimer's cognitive composite, a memory composite, and a nonmemory composite score) was examined using general linear models, and associations between Me-tau and [18F]flortaucipir signal in the neocortex were assessed using voxelwise regressions (continuous) and voxelwise contrasts (categorical). In addition, we assessed the effect of age and Aβ burden on Me-tau. Both continuous and categorical Me-tau was associated with worse cognitive performance across all tests and with higher lateral temporal and parietal [18F]flortaucipir signal. Furthermore, we observed a marginal association between Me-tau and age, whereas there was no association with Aβ burden. Our findings indicate that Me-tau in Aβ-negative cognitively normal individuals, which is likely age-related (i.e., primary age-related tauopathy), might not be as benign as commonly thought.
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Affiliation(s)
- Colin Groot
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, the Netherlands.
| | - Vincent Doré
- CSIRO Health and Biosecurity, Parkville, Victoria, Australia; Department of Molecular Imaging & Therapy, Austin Health, Melbourne, Victoria, Australia
| | - Joanne Robertson
- The Florey Institute, The University of Melbourne, Parkville, Victoria, Australia
| | - Samantha C Burnham
- CSIRO Health and Biosecurity, Parkville, Victoria, Australia; Centre of Excellence for Alzheimer's Disease Research and Care, School of Medical and Health Sciences, Edith Cowan University, Joondalup, Western Australia, Australia
| | - Greg Savage
- Department of Psychology, Macquarie University, North Ryde, New South Wales, Australia
| | - Rik Ossenkoppele
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, the Netherlands; Clinical Memory Research Unit, Lund University, P663+Q9, Lund, Sweden
| | - Christopher C Rowe
- Department of Molecular Imaging & Therapy, Austin Health, Melbourne, Victoria, Australia
| | - Victor L Villemagne
- Department of Molecular Imaging & Therapy, Austin Health, Melbourne, Victoria, Australia
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41
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Groot C, Yeo BTT, Vogel JW, Zhang X, Sun N, Mormino EC, Pijnenburg YAL, Miller BL, Rosen HJ, La Joie R, Barkhof F, Scheltens P, van der Flier WM, Rabinovici GD, Ossenkoppele R. Latent atrophy factors related to phenotypical variants of posterior cortical atrophy. Neurology 2020; 95:e1672-e1685. [PMID: 32675078 PMCID: PMC7713727 DOI: 10.1212/wnl.0000000000010362] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/25/2019] [Accepted: 04/06/2020] [Indexed: 01/30/2023] Open
Abstract
OBJECTIVE To determine whether atrophy relates to phenotypical variants of posterior cortical atrophy (PCA) recently proposed in clinical criteria (i.e., dorsal, ventral, dominant-parietal, and caudal) we assessed associations between latent atrophy factors and cognition. METHODS We employed a data-driven Bayesian modeling framework based on latent Dirichlet allocation to identify latent atrophy factors in a multicenter cohort of 119 individuals with PCA (age 64 ± 7 years, 38% male, Mini-Mental State Examination 21 ± 5, 71% β-amyloid positive, 29% β-amyloid status unknown). The model uses standardized gray matter density images as input (adjusted for age, sex, intracranial volume, MRI scanner field strength, and whole-brain gray matter volume) and provides voxelwise probabilistic maps for a predetermined number of atrophy factors, allowing every individual to express each factor to a degree without a priori classification. Individual factor expressions were correlated to 4 PCA-specific cognitive domains (object perception, space perception, nonvisual/parietal functions, and primary visual processing) using general linear models. RESULTS The model revealed 4 distinct yet partially overlapping atrophy factors: right-dorsal, right-ventral, left-ventral, and limbic. We found that object perception and primary visual processing were associated with atrophy that predominantly reflects the right-ventral factor. Furthermore, space perception was associated with atrophy that predominantly represents the right-dorsal and right-ventral factors. However, individual participant profiles revealed that the large majority expressed multiple atrophy factors and had mixed clinical profiles with impairments across multiple domains, rather than displaying a discrete clinical-radiologic phenotype. CONCLUSION Our results indicate that specific brain behavior networks are vulnerable in PCA, but most individuals display a constellation of affected brain regions and symptoms, indicating that classification into 4 mutually exclusive variants is unlikely to be clinically useful.
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Affiliation(s)
- Colin Groot
- From the Department of Neurology and Alzheimer Center (C.G., Y.A.L.P., P.S., W.M.v.d.F., R.O.), and Departments of Radiology and Nuclear Medicine (F.B.) and Epidemiology and Biostatistics (W.M.v.d.F.), Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, the Netherlands; Department of Electrical and Computer Engineering (B.T.T.Y., X.Z., N.S.), Clinical Imaging Research Centre, N1 Institute for Health and Memory Networks Program, National University of Singapore; Montreal Neurological Institute (J.W.V.), McGill University, Montreal, Canada; Computer Science and Artificial Intelligence Laboratory (X.Z.), Massachusetts Institute of Technology, Cambridge; Department of Neurology and Neurological Sciences (E.C.M.), Stanford University, CA; Departments of Neurology, Radiology and Biomedical Imaging (B.L.M., H.J.R., R.L.J., G.D.R.), University of California, San Francisco; Institutes of Neurology & Healthcare Engineering (F.B.), University College London, UK; and Clinical Memory Research Unit (R.O.), Lund University, Sweden.
| | - B T Thomas Yeo
- From the Department of Neurology and Alzheimer Center (C.G., Y.A.L.P., P.S., W.M.v.d.F., R.O.), and Departments of Radiology and Nuclear Medicine (F.B.) and Epidemiology and Biostatistics (W.M.v.d.F.), Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, the Netherlands; Department of Electrical and Computer Engineering (B.T.T.Y., X.Z., N.S.), Clinical Imaging Research Centre, N1 Institute for Health and Memory Networks Program, National University of Singapore; Montreal Neurological Institute (J.W.V.), McGill University, Montreal, Canada; Computer Science and Artificial Intelligence Laboratory (X.Z.), Massachusetts Institute of Technology, Cambridge; Department of Neurology and Neurological Sciences (E.C.M.), Stanford University, CA; Departments of Neurology, Radiology and Biomedical Imaging (B.L.M., H.J.R., R.L.J., G.D.R.), University of California, San Francisco; Institutes of Neurology & Healthcare Engineering (F.B.), University College London, UK; and Clinical Memory Research Unit (R.O.), Lund University, Sweden
| | - Jacob W Vogel
- From the Department of Neurology and Alzheimer Center (C.G., Y.A.L.P., P.S., W.M.v.d.F., R.O.), and Departments of Radiology and Nuclear Medicine (F.B.) and Epidemiology and Biostatistics (W.M.v.d.F.), Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, the Netherlands; Department of Electrical and Computer Engineering (B.T.T.Y., X.Z., N.S.), Clinical Imaging Research Centre, N1 Institute for Health and Memory Networks Program, National University of Singapore; Montreal Neurological Institute (J.W.V.), McGill University, Montreal, Canada; Computer Science and Artificial Intelligence Laboratory (X.Z.), Massachusetts Institute of Technology, Cambridge; Department of Neurology and Neurological Sciences (E.C.M.), Stanford University, CA; Departments of Neurology, Radiology and Biomedical Imaging (B.L.M., H.J.R., R.L.J., G.D.R.), University of California, San Francisco; Institutes of Neurology & Healthcare Engineering (F.B.), University College London, UK; and Clinical Memory Research Unit (R.O.), Lund University, Sweden
| | - Xiuming Zhang
- From the Department of Neurology and Alzheimer Center (C.G., Y.A.L.P., P.S., W.M.v.d.F., R.O.), and Departments of Radiology and Nuclear Medicine (F.B.) and Epidemiology and Biostatistics (W.M.v.d.F.), Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, the Netherlands; Department of Electrical and Computer Engineering (B.T.T.Y., X.Z., N.S.), Clinical Imaging Research Centre, N1 Institute for Health and Memory Networks Program, National University of Singapore; Montreal Neurological Institute (J.W.V.), McGill University, Montreal, Canada; Computer Science and Artificial Intelligence Laboratory (X.Z.), Massachusetts Institute of Technology, Cambridge; Department of Neurology and Neurological Sciences (E.C.M.), Stanford University, CA; Departments of Neurology, Radiology and Biomedical Imaging (B.L.M., H.J.R., R.L.J., G.D.R.), University of California, San Francisco; Institutes of Neurology & Healthcare Engineering (F.B.), University College London, UK; and Clinical Memory Research Unit (R.O.), Lund University, Sweden
| | - Nanbo Sun
- From the Department of Neurology and Alzheimer Center (C.G., Y.A.L.P., P.S., W.M.v.d.F., R.O.), and Departments of Radiology and Nuclear Medicine (F.B.) and Epidemiology and Biostatistics (W.M.v.d.F.), Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, the Netherlands; Department of Electrical and Computer Engineering (B.T.T.Y., X.Z., N.S.), Clinical Imaging Research Centre, N1 Institute for Health and Memory Networks Program, National University of Singapore; Montreal Neurological Institute (J.W.V.), McGill University, Montreal, Canada; Computer Science and Artificial Intelligence Laboratory (X.Z.), Massachusetts Institute of Technology, Cambridge; Department of Neurology and Neurological Sciences (E.C.M.), Stanford University, CA; Departments of Neurology, Radiology and Biomedical Imaging (B.L.M., H.J.R., R.L.J., G.D.R.), University of California, San Francisco; Institutes of Neurology & Healthcare Engineering (F.B.), University College London, UK; and Clinical Memory Research Unit (R.O.), Lund University, Sweden
| | - Elizabeth C Mormino
- From the Department of Neurology and Alzheimer Center (C.G., Y.A.L.P., P.S., W.M.v.d.F., R.O.), and Departments of Radiology and Nuclear Medicine (F.B.) and Epidemiology and Biostatistics (W.M.v.d.F.), Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, the Netherlands; Department of Electrical and Computer Engineering (B.T.T.Y., X.Z., N.S.), Clinical Imaging Research Centre, N1 Institute for Health and Memory Networks Program, National University of Singapore; Montreal Neurological Institute (J.W.V.), McGill University, Montreal, Canada; Computer Science and Artificial Intelligence Laboratory (X.Z.), Massachusetts Institute of Technology, Cambridge; Department of Neurology and Neurological Sciences (E.C.M.), Stanford University, CA; Departments of Neurology, Radiology and Biomedical Imaging (B.L.M., H.J.R., R.L.J., G.D.R.), University of California, San Francisco; Institutes of Neurology & Healthcare Engineering (F.B.), University College London, UK; and Clinical Memory Research Unit (R.O.), Lund University, Sweden
| | - Yolande A L Pijnenburg
- From the Department of Neurology and Alzheimer Center (C.G., Y.A.L.P., P.S., W.M.v.d.F., R.O.), and Departments of Radiology and Nuclear Medicine (F.B.) and Epidemiology and Biostatistics (W.M.v.d.F.), Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, the Netherlands; Department of Electrical and Computer Engineering (B.T.T.Y., X.Z., N.S.), Clinical Imaging Research Centre, N1 Institute for Health and Memory Networks Program, National University of Singapore; Montreal Neurological Institute (J.W.V.), McGill University, Montreal, Canada; Computer Science and Artificial Intelligence Laboratory (X.Z.), Massachusetts Institute of Technology, Cambridge; Department of Neurology and Neurological Sciences (E.C.M.), Stanford University, CA; Departments of Neurology, Radiology and Biomedical Imaging (B.L.M., H.J.R., R.L.J., G.D.R.), University of California, San Francisco; Institutes of Neurology & Healthcare Engineering (F.B.), University College London, UK; and Clinical Memory Research Unit (R.O.), Lund University, Sweden
| | - Bruce L Miller
- From the Department of Neurology and Alzheimer Center (C.G., Y.A.L.P., P.S., W.M.v.d.F., R.O.), and Departments of Radiology and Nuclear Medicine (F.B.) and Epidemiology and Biostatistics (W.M.v.d.F.), Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, the Netherlands; Department of Electrical and Computer Engineering (B.T.T.Y., X.Z., N.S.), Clinical Imaging Research Centre, N1 Institute for Health and Memory Networks Program, National University of Singapore; Montreal Neurological Institute (J.W.V.), McGill University, Montreal, Canada; Computer Science and Artificial Intelligence Laboratory (X.Z.), Massachusetts Institute of Technology, Cambridge; Department of Neurology and Neurological Sciences (E.C.M.), Stanford University, CA; Departments of Neurology, Radiology and Biomedical Imaging (B.L.M., H.J.R., R.L.J., G.D.R.), University of California, San Francisco; Institutes of Neurology & Healthcare Engineering (F.B.), University College London, UK; and Clinical Memory Research Unit (R.O.), Lund University, Sweden
| | - Howard J Rosen
- From the Department of Neurology and Alzheimer Center (C.G., Y.A.L.P., P.S., W.M.v.d.F., R.O.), and Departments of Radiology and Nuclear Medicine (F.B.) and Epidemiology and Biostatistics (W.M.v.d.F.), Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, the Netherlands; Department of Electrical and Computer Engineering (B.T.T.Y., X.Z., N.S.), Clinical Imaging Research Centre, N1 Institute for Health and Memory Networks Program, National University of Singapore; Montreal Neurological Institute (J.W.V.), McGill University, Montreal, Canada; Computer Science and Artificial Intelligence Laboratory (X.Z.), Massachusetts Institute of Technology, Cambridge; Department of Neurology and Neurological Sciences (E.C.M.), Stanford University, CA; Departments of Neurology, Radiology and Biomedical Imaging (B.L.M., H.J.R., R.L.J., G.D.R.), University of California, San Francisco; Institutes of Neurology & Healthcare Engineering (F.B.), University College London, UK; and Clinical Memory Research Unit (R.O.), Lund University, Sweden
| | - Renaud La Joie
- From the Department of Neurology and Alzheimer Center (C.G., Y.A.L.P., P.S., W.M.v.d.F., R.O.), and Departments of Radiology and Nuclear Medicine (F.B.) and Epidemiology and Biostatistics (W.M.v.d.F.), Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, the Netherlands; Department of Electrical and Computer Engineering (B.T.T.Y., X.Z., N.S.), Clinical Imaging Research Centre, N1 Institute for Health and Memory Networks Program, National University of Singapore; Montreal Neurological Institute (J.W.V.), McGill University, Montreal, Canada; Computer Science and Artificial Intelligence Laboratory (X.Z.), Massachusetts Institute of Technology, Cambridge; Department of Neurology and Neurological Sciences (E.C.M.), Stanford University, CA; Departments of Neurology, Radiology and Biomedical Imaging (B.L.M., H.J.R., R.L.J., G.D.R.), University of California, San Francisco; Institutes of Neurology & Healthcare Engineering (F.B.), University College London, UK; and Clinical Memory Research Unit (R.O.), Lund University, Sweden
| | - Frederik Barkhof
- From the Department of Neurology and Alzheimer Center (C.G., Y.A.L.P., P.S., W.M.v.d.F., R.O.), and Departments of Radiology and Nuclear Medicine (F.B.) and Epidemiology and Biostatistics (W.M.v.d.F.), Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, the Netherlands; Department of Electrical and Computer Engineering (B.T.T.Y., X.Z., N.S.), Clinical Imaging Research Centre, N1 Institute for Health and Memory Networks Program, National University of Singapore; Montreal Neurological Institute (J.W.V.), McGill University, Montreal, Canada; Computer Science and Artificial Intelligence Laboratory (X.Z.), Massachusetts Institute of Technology, Cambridge; Department of Neurology and Neurological Sciences (E.C.M.), Stanford University, CA; Departments of Neurology, Radiology and Biomedical Imaging (B.L.M., H.J.R., R.L.J., G.D.R.), University of California, San Francisco; Institutes of Neurology & Healthcare Engineering (F.B.), University College London, UK; and Clinical Memory Research Unit (R.O.), Lund University, Sweden
| | - Philip Scheltens
- From the Department of Neurology and Alzheimer Center (C.G., Y.A.L.P., P.S., W.M.v.d.F., R.O.), and Departments of Radiology and Nuclear Medicine (F.B.) and Epidemiology and Biostatistics (W.M.v.d.F.), Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, the Netherlands; Department of Electrical and Computer Engineering (B.T.T.Y., X.Z., N.S.), Clinical Imaging Research Centre, N1 Institute for Health and Memory Networks Program, National University of Singapore; Montreal Neurological Institute (J.W.V.), McGill University, Montreal, Canada; Computer Science and Artificial Intelligence Laboratory (X.Z.), Massachusetts Institute of Technology, Cambridge; Department of Neurology and Neurological Sciences (E.C.M.), Stanford University, CA; Departments of Neurology, Radiology and Biomedical Imaging (B.L.M., H.J.R., R.L.J., G.D.R.), University of California, San Francisco; Institutes of Neurology & Healthcare Engineering (F.B.), University College London, UK; and Clinical Memory Research Unit (R.O.), Lund University, Sweden
| | - Wiesje M van der Flier
- From the Department of Neurology and Alzheimer Center (C.G., Y.A.L.P., P.S., W.M.v.d.F., R.O.), and Departments of Radiology and Nuclear Medicine (F.B.) and Epidemiology and Biostatistics (W.M.v.d.F.), Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, the Netherlands; Department of Electrical and Computer Engineering (B.T.T.Y., X.Z., N.S.), Clinical Imaging Research Centre, N1 Institute for Health and Memory Networks Program, National University of Singapore; Montreal Neurological Institute (J.W.V.), McGill University, Montreal, Canada; Computer Science and Artificial Intelligence Laboratory (X.Z.), Massachusetts Institute of Technology, Cambridge; Department of Neurology and Neurological Sciences (E.C.M.), Stanford University, CA; Departments of Neurology, Radiology and Biomedical Imaging (B.L.M., H.J.R., R.L.J., G.D.R.), University of California, San Francisco; Institutes of Neurology & Healthcare Engineering (F.B.), University College London, UK; and Clinical Memory Research Unit (R.O.), Lund University, Sweden
| | - Gil D Rabinovici
- From the Department of Neurology and Alzheimer Center (C.G., Y.A.L.P., P.S., W.M.v.d.F., R.O.), and Departments of Radiology and Nuclear Medicine (F.B.) and Epidemiology and Biostatistics (W.M.v.d.F.), Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, the Netherlands; Department of Electrical and Computer Engineering (B.T.T.Y., X.Z., N.S.), Clinical Imaging Research Centre, N1 Institute for Health and Memory Networks Program, National University of Singapore; Montreal Neurological Institute (J.W.V.), McGill University, Montreal, Canada; Computer Science and Artificial Intelligence Laboratory (X.Z.), Massachusetts Institute of Technology, Cambridge; Department of Neurology and Neurological Sciences (E.C.M.), Stanford University, CA; Departments of Neurology, Radiology and Biomedical Imaging (B.L.M., H.J.R., R.L.J., G.D.R.), University of California, San Francisco; Institutes of Neurology & Healthcare Engineering (F.B.), University College London, UK; and Clinical Memory Research Unit (R.O.), Lund University, Sweden
| | - Rik Ossenkoppele
- From the Department of Neurology and Alzheimer Center (C.G., Y.A.L.P., P.S., W.M.v.d.F., R.O.), and Departments of Radiology and Nuclear Medicine (F.B.) and Epidemiology and Biostatistics (W.M.v.d.F.), Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, the Netherlands; Department of Electrical and Computer Engineering (B.T.T.Y., X.Z., N.S.), Clinical Imaging Research Centre, N1 Institute for Health and Memory Networks Program, National University of Singapore; Montreal Neurological Institute (J.W.V.), McGill University, Montreal, Canada; Computer Science and Artificial Intelligence Laboratory (X.Z.), Massachusetts Institute of Technology, Cambridge; Department of Neurology and Neurological Sciences (E.C.M.), Stanford University, CA; Departments of Neurology, Radiology and Biomedical Imaging (B.L.M., H.J.R., R.L.J., G.D.R.), University of California, San Francisco; Institutes of Neurology & Healthcare Engineering (F.B.), University College London, UK; and Clinical Memory Research Unit (R.O.), Lund University, Sweden
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Chen JA, Scheltens P, Groot C, Ossenkoppele R. Associations Between Caffeine Consumption, Cognitive Decline, and Dementia: A Systematic Review. J Alzheimers Dis 2020; 78:1519-1546. [PMID: 33185612 PMCID: PMC7836063 DOI: 10.3233/jad-201069] [Citation(s) in RCA: 27] [Impact Index Per Article: 6.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 09/21/2020] [Indexed: 02/06/2023]
Abstract
BACKGROUND Epidemiologic studies have provided inconclusive evidence for a protective effect of caffeine consumption on risk of dementia and cognitive decline. OBJECTIVE To summarize literature on the association between caffeine and 1) the risk of dementia and/or cognitive decline, and 2) cognitive performance in individuals with mild cognitive impairment (MCI) or dementia, and 3) to examine the effect of study characteristics by categorizing studies based on caffeine source, quantity and other possible confounders. METHODS We performed a systematic review of caffeine effects by assessing overall study outcomes; positive, negative or no effect. Our literature search identified 61 eligible studies performed between 1990 and 2020. RESULTS For studies analyzing the association between caffeine and the risk of dementia and/or cognitive decline, 16/57 (28%) studies including a total of 40,707/153,070 (27%) subjects reported positive study outcomes, and 30/57 (53%) studies including 71,219/153,070 (47%) subjects showed positive results that were dependent on study characteristics. Caffeine effects were more often positive when consumed in moderate quantities (100-400 mg/d), consumed in coffee or green tea, and in women. Furthermore, four studies evaluated the relationship between caffeine consumption and cognitive function in cognitively impaired individuals and the majority (3/4 [75% ]) of studies including 272/289 subjects (94%) reported positive outcomes. CONCLUSION This review suggests that caffeine consumption, especially moderate quantities consumed through coffee or green tea and in women, may reduce the risk of dementia and cognitive decline, and may ameliorate cognitive decline in cognitively impaired individuals.
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Affiliation(s)
- J.Q. Alida Chen
- Department of Neurology and Alzheimer Center, VU University Medical Center, Amsterdam UMC, Amsterdam, The Netherlands
| | - Philip Scheltens
- Department of Neurology and Alzheimer Center, VU University Medical Center, Amsterdam UMC, Amsterdam, The Netherlands
| | - Colin Groot
- Department of Neurology and Alzheimer Center, VU University Medical Center, Amsterdam UMC, Amsterdam, The Netherlands
| | - Rik Ossenkoppele
- Department of Neurology and Alzheimer Center, VU University Medical Center, Amsterdam UMC, Amsterdam, The Netherlands
- Clinical Memory Research Unit, Lund University, Lund, Sweden
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43
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Leijenaar JF, Groot C, Sudre CH, Bergeron D, Leeuwis AE, Cardoso MJ, Carrasco FP, Laforce R, Barkhof F, van der Flier WM, Scheltens P, Prins ND, Ossenkoppele R. Comorbid amyloid-β pathology affects clinical and imaging features in VCD. Alzheimers Dement 2019; 16:354-364. [PMID: 31786129 DOI: 10.1016/j.jalz.2019.08.190] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/10/2023]
Abstract
INTRODUCTION To date, the clinical relevance of comorbid amyloid-β (Aβ) pathology in patients with vascular cognitive disorders (VCD) is largely unknown. METHODS We included 218 VCD patients with available cerebrospinal fluid Aβ42 levels. Patients were divided into Aβ+ mild-VCD (n = 84), Aβ- mild-VCD (n = 68), Aβ+ major-VCD (n = 31), and Aβ- major-VCD (n = 35). We measured depression with the Geriatric Depression Scale, cognition with a neuropsychological test battery and derived white matter hyperintensities (WMH) and gray matter atrophy from MRI. RESULTS Aβ- patients showed more depressive symptoms than Aβ+. In the major-VCD group, Aβ- patients performed worse on attention (P = .02) and executive functioning (P = .008) than Aβ+. We found no cognitive differences in patients with mild VCD. In the mild-VCD group, Aβ- patients had more WMH than Aβ+ patients, whereas conversely, in the major-VCD group, Aβ+ patients had more WMH. Atrophy patterns did not differ between Aβ+ and Aβ- VCD group. DISCUSSION Comorbid Aβ pathology affects the manifestation of VCD, but effects differ by severity of VCD.
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Affiliation(s)
- Jolien F Leijenaar
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands
| | - Colin Groot
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands
| | - Carole H Sudre
- School of Biomedical Engineering and Imaging Sciences, King's College London, London, United Kingdom.,Dementia Research Centre, Institute of Neurology University College London, London, United Kingdom.,Department of Medical Physics and Biomedical Engineering, University College London, London, United Kingdom
| | - David Bergeron
- Clinique Interdisciplinaire de Mémoire (CIME), CHU de Québec, Québec, Canada
| | - Anna E Leeuwis
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands
| | - M Jorge Cardoso
- School of Biomedical Engineering and Imaging Sciences, King's College London, London, United Kingdom.,Dementia Research Centre, Institute of Neurology University College London, London, United Kingdom.,Department of Medical Physics and Biomedical Engineering, University College London, London, United Kingdom
| | - Ferran Prados Carrasco
- Department of Medical Physics and Biomedical Engineering, University College London, London, United Kingdom.,Department of Neuroinflammation, UCL Institute of Neurology, Faculty of Brain Sciences, University College London, London, United Kingdom
| | - Robert Laforce
- Clinique Interdisciplinaire de Mémoire (CIME), CHU de Québec, Québec, Canada
| | - Frederik Barkhof
- Department of Medical Physics and Biomedical Engineering, University College London, London, United Kingdom.,Radiology and Nuclear Medicine, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands
| | - Wiesje M van der Flier
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands.,Epidemiology and Biostatistics, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands
| | - Philip Scheltens
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands
| | - Niels D Prins
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands.,Brain Research Center, Amsterdam, The Netherlands
| | - Rik Ossenkoppele
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands.,Radiology and Nuclear Medicine, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands.,Clinical Memory Research Unit, Lund University, Lund, Sweden
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44
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Golla SS, Verfaillie SC, Boellaard R, Adriaanse SM, Zwan MD, Schuit RC, Timmers T, Groot C, Schober P, Scheltens P, van der Flier WM, Windhorst AD, van Berckel BN, Lammertsma AA. Quantification of [ 18F]florbetapir: A test-retest tracer kinetic modelling study. J Cereb Blood Flow Metab 2019; 39:2172-2180. [PMID: 29897009 PMCID: PMC6826855 DOI: 10.1177/0271678x18783628] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Abstract
Accumulation of amyloid beta can be visualized using [18F]florbetapir positron emission tomography. The aim of this study was to identify the optimal model for quantifying [18F]florbetapir uptake and to assess test-retest reliability of corresponding outcome measures. Eight Alzheimer's disease patients (age: 67 ± 6 years, Mini-Mental State Examination (MMSE): 23 ± 3) and eight controls (age: 63 ± 4 years, MMSE: 30 ± 0) were included. Ninety-minute dynamic positron emission tomography scans, together with arterial blood sampling, were acquired immediately following a bolus injection of 294 ± 32 MBq [18F]florbetapir. Several plasma input models and the simplified reference tissue model (SRTM) were evaluated. The Akaike information criterion was used to identify the preferred kinetic model. Compared to controls, Alzheimer's disease patients had lower MMSE scores and evidence for cortical Aβ pathology. A reversible two-tissue compartment model with fitted blood volume fraction (2T4k_VB) was the preferred model for describing [18F]florbetapir kinetics. SRTM-derived non-displaceable binding potential (BPND) correlated well (r2 = 0.83, slope = 0.86) with plasma input-derived distribution volume ratio. Test-retest reliability for plasma input-derived distribution volume ratio, SRTM-derived BPND and SUVr(50-70) were r = 0.88, r = 0.91 and r = 0.86, respectively. In vivo kinetics of [18F]florbetapir could best be described by a reversible two-tissue compartmental model and [18F]florbetapir BPND can be reliably estimated using an SRTM.
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Affiliation(s)
- Sandeep Sv Golla
- Department of Radiology & Nuclear Medicine, Amsterdam Neuroscience, VU University Medical Center, Amsterdam, the Netherlands
| | - Sander Cj Verfaillie
- Department of Radiology & Nuclear Medicine, Amsterdam Neuroscience, VU University Medical Center, Amsterdam, the Netherlands.,Department of Neurology & Alzheimer Center, Amsterdam Neuroscience, VU University Medical Center, Amsterdam, the Netherlands
| | - Ronald Boellaard
- Department of Radiology & Nuclear Medicine, Amsterdam Neuroscience, VU University Medical Center, Amsterdam, the Netherlands.,Department of Nuclear Medicine & Molecular Imaging, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands
| | - Sofie M Adriaanse
- Department of Radiology & Nuclear Medicine, Amsterdam Neuroscience, VU University Medical Center, Amsterdam, the Netherlands
| | - Marissa D Zwan
- Department of Neurology & Alzheimer Center, Amsterdam Neuroscience, VU University Medical Center, Amsterdam, the Netherlands
| | - Robert C Schuit
- Department of Radiology & Nuclear Medicine, Amsterdam Neuroscience, VU University Medical Center, Amsterdam, the Netherlands
| | - Tessa Timmers
- Department of Radiology & Nuclear Medicine, Amsterdam Neuroscience, VU University Medical Center, Amsterdam, the Netherlands.,Department of Neurology & Alzheimer Center, Amsterdam Neuroscience, VU University Medical Center, Amsterdam, the Netherlands
| | - Colin Groot
- Department of Radiology & Nuclear Medicine, Amsterdam Neuroscience, VU University Medical Center, Amsterdam, the Netherlands
| | - Patrick Schober
- Department of Anaesthesiology, Amsterdam Neuroscience, VU University Medical Center, Amsterdam, the Netherlands
| | - Philip Scheltens
- Department of Neurology & Alzheimer Center, Amsterdam Neuroscience, VU University Medical Center, Amsterdam, the Netherlands
| | - Wiesje M van der Flier
- Department of Neurology & Alzheimer Center, Amsterdam Neuroscience, VU University Medical Center, Amsterdam, the Netherlands.,Department of Epidemiology & Biostatistics, Amsterdam Neuroscience, VU University Medical Center, Amsterdam, the Netherlands
| | - Albert D Windhorst
- Department of Radiology & Nuclear Medicine, Amsterdam Neuroscience, VU University Medical Center, Amsterdam, the Netherlands
| | - Bart Nm van Berckel
- Department of Radiology & Nuclear Medicine, Amsterdam Neuroscience, VU University Medical Center, Amsterdam, the Netherlands
| | - Adriaan A Lammertsma
- Department of Radiology & Nuclear Medicine, Amsterdam Neuroscience, VU University Medical Center, Amsterdam, the Netherlands
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45
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Altomare D, de Wilde A, Ossenkoppele R, Pelkmans W, Bouwman F, Groot C, van Maurik I, Zwan M, Yaqub M, Barkhof F, van Berckel BN, Teunissen CE, Frisoni GB, Scheltens P, van der Flier WM. Applying the ATN scheme in a memory clinic population: The ABIDE project. Neurology 2019; 93:e1635-e1646. [PMID: 31597710 DOI: 10.1212/wnl.0000000000008361] [Citation(s) in RCA: 48] [Impact Index Per Article: 9.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/02/2018] [Accepted: 05/21/2019] [Indexed: 11/15/2022] Open
Abstract
OBJECTIVE To apply the ATN scheme to memory clinic patients, to assess whether it discriminates patient populations with specific features. METHODS We included 305 memory clinic patients (33% subjective cognitive decline [SCD]: 60 ± 9 years, 61% M; 19% mild cognitive impairment [MCI]: 68 ± 9 years, 68% M; 48% dementia: 66 ± 10 years, 58% M) classified for positivity (±) of amyloid (A) ([18F]Florbetaben PET), tau (T) (CSF p-tau), and neurodegeneration (N) (medial temporal lobe atrophy). We assessed ATN profiles' demographic, clinical, and cognitive features at baseline, and cognitive decline over time. RESULTS The proportion of A+T+N+ patients increased with syndrome severity (from 1% in SCD to 14% in MCI and 35% in dementia), while the opposite was true for A-T-N- (from 48% to 19% and 6%). Compared to A-T-N-, patients with the Alzheimer disease profiles (A+T+N- and A+T+N+) were older (both p < 0.05) and had a higher prevalence of APOE ε4 (both p < 0.05) and lower Mini-Mental State Examination (MMSE) (both p < 0.05), memory (both p < 0.05), and visuospatial abilities (both p < 0.05) at baseline. Non-Alzheimer profiles A-T-N+ and A-T+N+ showed more severe white matter hyperintensities (both p < 0.05) and worse language performance (both p < 0.05) than A-T-N-. A linear mixed model showed faster decline on MMSE over time in A+T+N- and A+T+N+ (p = 0.059 and p < 0.001 vs A-T-N-), attributable mainly to patients without dementia. CONCLUSIONS The ATN scheme identified different biomarker profiles with overlapping baseline features and patterns of cognitive decline. The large number of profiles, which may have different implications in patients with vs without dementia, poses a challenge to the application of the ATN scheme.
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Affiliation(s)
- Daniele Altomare
- From the Alzheimer Center Amsterdam, Department of Neurology (D.A., A.d.W., R.O., W.P., F.B., C.G., I.v.M., M.Z., B.N.v.B., P.S., W.M.v.d.F.), Department of Radiology & Nuclear Medicine (R.O., C.G., M.Y., F.B., B.N.v.B.), and Neurochemistry Laboratory, Department of Clinical Chemistry (C.E.T.), Amsterdam Neuroscience, and Department of Epidemiology & Biostatistics (I.v.M., W.M.v.d.F.), Vrije Universiteit Amsterdam, Amsterdam UMC, the Netherlands; Laboratory of Neuroimaging of Aging (LANVIE) (D.A., G.B.F.), University of Geneva, Switzerland; Memory Clinic (D.A.), University Hospitals of Geneva, Switzerland; Laboratory of Alzheimer's Neuroimaging and Epidemiology (LANE) (D.A.), Saint John of God Clinical Research Centre; Department of Molecular and Translational Medicine (D.A.), University of Brescia, Italy; Clinical Memory Research Unit (R.O.), Lund University, Malmö, Sweden; Institutes of Neurology and Healthcare Engineering (F.B.), UCL, London, UK; and Memory Clinic (D.A., G.B.F.), University Hospitals of Geneva, Switzerland
| | - Arno de Wilde
- From the Alzheimer Center Amsterdam, Department of Neurology (D.A., A.d.W., R.O., W.P., F.B., C.G., I.v.M., M.Z., B.N.v.B., P.S., W.M.v.d.F.), Department of Radiology & Nuclear Medicine (R.O., C.G., M.Y., F.B., B.N.v.B.), and Neurochemistry Laboratory, Department of Clinical Chemistry (C.E.T.), Amsterdam Neuroscience, and Department of Epidemiology & Biostatistics (I.v.M., W.M.v.d.F.), Vrije Universiteit Amsterdam, Amsterdam UMC, the Netherlands; Laboratory of Neuroimaging of Aging (LANVIE) (D.A., G.B.F.), University of Geneva, Switzerland; Memory Clinic (D.A.), University Hospitals of Geneva, Switzerland; Laboratory of Alzheimer's Neuroimaging and Epidemiology (LANE) (D.A.), Saint John of God Clinical Research Centre; Department of Molecular and Translational Medicine (D.A.), University of Brescia, Italy; Clinical Memory Research Unit (R.O.), Lund University, Malmö, Sweden; Institutes of Neurology and Healthcare Engineering (F.B.), UCL, London, UK; and Memory Clinic (D.A., G.B.F.), University Hospitals of Geneva, Switzerland
| | - Rik Ossenkoppele
- From the Alzheimer Center Amsterdam, Department of Neurology (D.A., A.d.W., R.O., W.P., F.B., C.G., I.v.M., M.Z., B.N.v.B., P.S., W.M.v.d.F.), Department of Radiology & Nuclear Medicine (R.O., C.G., M.Y., F.B., B.N.v.B.), and Neurochemistry Laboratory, Department of Clinical Chemistry (C.E.T.), Amsterdam Neuroscience, and Department of Epidemiology & Biostatistics (I.v.M., W.M.v.d.F.), Vrije Universiteit Amsterdam, Amsterdam UMC, the Netherlands; Laboratory of Neuroimaging of Aging (LANVIE) (D.A., G.B.F.), University of Geneva, Switzerland; Memory Clinic (D.A.), University Hospitals of Geneva, Switzerland; Laboratory of Alzheimer's Neuroimaging and Epidemiology (LANE) (D.A.), Saint John of God Clinical Research Centre; Department of Molecular and Translational Medicine (D.A.), University of Brescia, Italy; Clinical Memory Research Unit (R.O.), Lund University, Malmö, Sweden; Institutes of Neurology and Healthcare Engineering (F.B.), UCL, London, UK; and Memory Clinic (D.A., G.B.F.), University Hospitals of Geneva, Switzerland
| | - Wiesje Pelkmans
- From the Alzheimer Center Amsterdam, Department of Neurology (D.A., A.d.W., R.O., W.P., F.B., C.G., I.v.M., M.Z., B.N.v.B., P.S., W.M.v.d.F.), Department of Radiology & Nuclear Medicine (R.O., C.G., M.Y., F.B., B.N.v.B.), and Neurochemistry Laboratory, Department of Clinical Chemistry (C.E.T.), Amsterdam Neuroscience, and Department of Epidemiology & Biostatistics (I.v.M., W.M.v.d.F.), Vrije Universiteit Amsterdam, Amsterdam UMC, the Netherlands; Laboratory of Neuroimaging of Aging (LANVIE) (D.A., G.B.F.), University of Geneva, Switzerland; Memory Clinic (D.A.), University Hospitals of Geneva, Switzerland; Laboratory of Alzheimer's Neuroimaging and Epidemiology (LANE) (D.A.), Saint John of God Clinical Research Centre; Department of Molecular and Translational Medicine (D.A.), University of Brescia, Italy; Clinical Memory Research Unit (R.O.), Lund University, Malmö, Sweden; Institutes of Neurology and Healthcare Engineering (F.B.), UCL, London, UK; and Memory Clinic (D.A., G.B.F.), University Hospitals of Geneva, Switzerland
| | - Femke Bouwman
- From the Alzheimer Center Amsterdam, Department of Neurology (D.A., A.d.W., R.O., W.P., F.B., C.G., I.v.M., M.Z., B.N.v.B., P.S., W.M.v.d.F.), Department of Radiology & Nuclear Medicine (R.O., C.G., M.Y., F.B., B.N.v.B.), and Neurochemistry Laboratory, Department of Clinical Chemistry (C.E.T.), Amsterdam Neuroscience, and Department of Epidemiology & Biostatistics (I.v.M., W.M.v.d.F.), Vrije Universiteit Amsterdam, Amsterdam UMC, the Netherlands; Laboratory of Neuroimaging of Aging (LANVIE) (D.A., G.B.F.), University of Geneva, Switzerland; Memory Clinic (D.A.), University Hospitals of Geneva, Switzerland; Laboratory of Alzheimer's Neuroimaging and Epidemiology (LANE) (D.A.), Saint John of God Clinical Research Centre; Department of Molecular and Translational Medicine (D.A.), University of Brescia, Italy; Clinical Memory Research Unit (R.O.), Lund University, Malmö, Sweden; Institutes of Neurology and Healthcare Engineering (F.B.), UCL, London, UK; and Memory Clinic (D.A., G.B.F.), University Hospitals of Geneva, Switzerland
| | - Colin Groot
- From the Alzheimer Center Amsterdam, Department of Neurology (D.A., A.d.W., R.O., W.P., F.B., C.G., I.v.M., M.Z., B.N.v.B., P.S., W.M.v.d.F.), Department of Radiology & Nuclear Medicine (R.O., C.G., M.Y., F.B., B.N.v.B.), and Neurochemistry Laboratory, Department of Clinical Chemistry (C.E.T.), Amsterdam Neuroscience, and Department of Epidemiology & Biostatistics (I.v.M., W.M.v.d.F.), Vrije Universiteit Amsterdam, Amsterdam UMC, the Netherlands; Laboratory of Neuroimaging of Aging (LANVIE) (D.A., G.B.F.), University of Geneva, Switzerland; Memory Clinic (D.A.), University Hospitals of Geneva, Switzerland; Laboratory of Alzheimer's Neuroimaging and Epidemiology (LANE) (D.A.), Saint John of God Clinical Research Centre; Department of Molecular and Translational Medicine (D.A.), University of Brescia, Italy; Clinical Memory Research Unit (R.O.), Lund University, Malmö, Sweden; Institutes of Neurology and Healthcare Engineering (F.B.), UCL, London, UK; and Memory Clinic (D.A., G.B.F.), University Hospitals of Geneva, Switzerland
| | - Ingrid van Maurik
- From the Alzheimer Center Amsterdam, Department of Neurology (D.A., A.d.W., R.O., W.P., F.B., C.G., I.v.M., M.Z., B.N.v.B., P.S., W.M.v.d.F.), Department of Radiology & Nuclear Medicine (R.O., C.G., M.Y., F.B., B.N.v.B.), and Neurochemistry Laboratory, Department of Clinical Chemistry (C.E.T.), Amsterdam Neuroscience, and Department of Epidemiology & Biostatistics (I.v.M., W.M.v.d.F.), Vrije Universiteit Amsterdam, Amsterdam UMC, the Netherlands; Laboratory of Neuroimaging of Aging (LANVIE) (D.A., G.B.F.), University of Geneva, Switzerland; Memory Clinic (D.A.), University Hospitals of Geneva, Switzerland; Laboratory of Alzheimer's Neuroimaging and Epidemiology (LANE) (D.A.), Saint John of God Clinical Research Centre; Department of Molecular and Translational Medicine (D.A.), University of Brescia, Italy; Clinical Memory Research Unit (R.O.), Lund University, Malmö, Sweden; Institutes of Neurology and Healthcare Engineering (F.B.), UCL, London, UK; and Memory Clinic (D.A., G.B.F.), University Hospitals of Geneva, Switzerland
| | - Marissa Zwan
- From the Alzheimer Center Amsterdam, Department of Neurology (D.A., A.d.W., R.O., W.P., F.B., C.G., I.v.M., M.Z., B.N.v.B., P.S., W.M.v.d.F.), Department of Radiology & Nuclear Medicine (R.O., C.G., M.Y., F.B., B.N.v.B.), and Neurochemistry Laboratory, Department of Clinical Chemistry (C.E.T.), Amsterdam Neuroscience, and Department of Epidemiology & Biostatistics (I.v.M., W.M.v.d.F.), Vrije Universiteit Amsterdam, Amsterdam UMC, the Netherlands; Laboratory of Neuroimaging of Aging (LANVIE) (D.A., G.B.F.), University of Geneva, Switzerland; Memory Clinic (D.A.), University Hospitals of Geneva, Switzerland; Laboratory of Alzheimer's Neuroimaging and Epidemiology (LANE) (D.A.), Saint John of God Clinical Research Centre; Department of Molecular and Translational Medicine (D.A.), University of Brescia, Italy; Clinical Memory Research Unit (R.O.), Lund University, Malmö, Sweden; Institutes of Neurology and Healthcare Engineering (F.B.), UCL, London, UK; and Memory Clinic (D.A., G.B.F.), University Hospitals of Geneva, Switzerland
| | - Maqsood Yaqub
- From the Alzheimer Center Amsterdam, Department of Neurology (D.A., A.d.W., R.O., W.P., F.B., C.G., I.v.M., M.Z., B.N.v.B., P.S., W.M.v.d.F.), Department of Radiology & Nuclear Medicine (R.O., C.G., M.Y., F.B., B.N.v.B.), and Neurochemistry Laboratory, Department of Clinical Chemistry (C.E.T.), Amsterdam Neuroscience, and Department of Epidemiology & Biostatistics (I.v.M., W.M.v.d.F.), Vrije Universiteit Amsterdam, Amsterdam UMC, the Netherlands; Laboratory of Neuroimaging of Aging (LANVIE) (D.A., G.B.F.), University of Geneva, Switzerland; Memory Clinic (D.A.), University Hospitals of Geneva, Switzerland; Laboratory of Alzheimer's Neuroimaging and Epidemiology (LANE) (D.A.), Saint John of God Clinical Research Centre; Department of Molecular and Translational Medicine (D.A.), University of Brescia, Italy; Clinical Memory Research Unit (R.O.), Lund University, Malmö, Sweden; Institutes of Neurology and Healthcare Engineering (F.B.), UCL, London, UK; and Memory Clinic (D.A., G.B.F.), University Hospitals of Geneva, Switzerland
| | - Frederik Barkhof
- From the Alzheimer Center Amsterdam, Department of Neurology (D.A., A.d.W., R.O., W.P., F.B., C.G., I.v.M., M.Z., B.N.v.B., P.S., W.M.v.d.F.), Department of Radiology & Nuclear Medicine (R.O., C.G., M.Y., F.B., B.N.v.B.), and Neurochemistry Laboratory, Department of Clinical Chemistry (C.E.T.), Amsterdam Neuroscience, and Department of Epidemiology & Biostatistics (I.v.M., W.M.v.d.F.), Vrije Universiteit Amsterdam, Amsterdam UMC, the Netherlands; Laboratory of Neuroimaging of Aging (LANVIE) (D.A., G.B.F.), University of Geneva, Switzerland; Memory Clinic (D.A.), University Hospitals of Geneva, Switzerland; Laboratory of Alzheimer's Neuroimaging and Epidemiology (LANE) (D.A.), Saint John of God Clinical Research Centre; Department of Molecular and Translational Medicine (D.A.), University of Brescia, Italy; Clinical Memory Research Unit (R.O.), Lund University, Malmö, Sweden; Institutes of Neurology and Healthcare Engineering (F.B.), UCL, London, UK; and Memory Clinic (D.A., G.B.F.), University Hospitals of Geneva, Switzerland
| | - Bart N van Berckel
- From the Alzheimer Center Amsterdam, Department of Neurology (D.A., A.d.W., R.O., W.P., F.B., C.G., I.v.M., M.Z., B.N.v.B., P.S., W.M.v.d.F.), Department of Radiology & Nuclear Medicine (R.O., C.G., M.Y., F.B., B.N.v.B.), and Neurochemistry Laboratory, Department of Clinical Chemistry (C.E.T.), Amsterdam Neuroscience, and Department of Epidemiology & Biostatistics (I.v.M., W.M.v.d.F.), Vrije Universiteit Amsterdam, Amsterdam UMC, the Netherlands; Laboratory of Neuroimaging of Aging (LANVIE) (D.A., G.B.F.), University of Geneva, Switzerland; Memory Clinic (D.A.), University Hospitals of Geneva, Switzerland; Laboratory of Alzheimer's Neuroimaging and Epidemiology (LANE) (D.A.), Saint John of God Clinical Research Centre; Department of Molecular and Translational Medicine (D.A.), University of Brescia, Italy; Clinical Memory Research Unit (R.O.), Lund University, Malmö, Sweden; Institutes of Neurology and Healthcare Engineering (F.B.), UCL, London, UK; and Memory Clinic (D.A., G.B.F.), University Hospitals of Geneva, Switzerland
| | - Charlotte E Teunissen
- From the Alzheimer Center Amsterdam, Department of Neurology (D.A., A.d.W., R.O., W.P., F.B., C.G., I.v.M., M.Z., B.N.v.B., P.S., W.M.v.d.F.), Department of Radiology & Nuclear Medicine (R.O., C.G., M.Y., F.B., B.N.v.B.), and Neurochemistry Laboratory, Department of Clinical Chemistry (C.E.T.), Amsterdam Neuroscience, and Department of Epidemiology & Biostatistics (I.v.M., W.M.v.d.F.), Vrije Universiteit Amsterdam, Amsterdam UMC, the Netherlands; Laboratory of Neuroimaging of Aging (LANVIE) (D.A., G.B.F.), University of Geneva, Switzerland; Memory Clinic (D.A.), University Hospitals of Geneva, Switzerland; Laboratory of Alzheimer's Neuroimaging and Epidemiology (LANE) (D.A.), Saint John of God Clinical Research Centre; Department of Molecular and Translational Medicine (D.A.), University of Brescia, Italy; Clinical Memory Research Unit (R.O.), Lund University, Malmö, Sweden; Institutes of Neurology and Healthcare Engineering (F.B.), UCL, London, UK; and Memory Clinic (D.A., G.B.F.), University Hospitals of Geneva, Switzerland
| | - Giovanni B Frisoni
- From the Alzheimer Center Amsterdam, Department of Neurology (D.A., A.d.W., R.O., W.P., F.B., C.G., I.v.M., M.Z., B.N.v.B., P.S., W.M.v.d.F.), Department of Radiology & Nuclear Medicine (R.O., C.G., M.Y., F.B., B.N.v.B.), and Neurochemistry Laboratory, Department of Clinical Chemistry (C.E.T.), Amsterdam Neuroscience, and Department of Epidemiology & Biostatistics (I.v.M., W.M.v.d.F.), Vrije Universiteit Amsterdam, Amsterdam UMC, the Netherlands; Laboratory of Neuroimaging of Aging (LANVIE) (D.A., G.B.F.), University of Geneva, Switzerland; Memory Clinic (D.A.), University Hospitals of Geneva, Switzerland; Laboratory of Alzheimer's Neuroimaging and Epidemiology (LANE) (D.A.), Saint John of God Clinical Research Centre; Department of Molecular and Translational Medicine (D.A.), University of Brescia, Italy; Clinical Memory Research Unit (R.O.), Lund University, Malmö, Sweden; Institutes of Neurology and Healthcare Engineering (F.B.), UCL, London, UK; and Memory Clinic (D.A., G.B.F.), University Hospitals of Geneva, Switzerland
| | - Philip Scheltens
- From the Alzheimer Center Amsterdam, Department of Neurology (D.A., A.d.W., R.O., W.P., F.B., C.G., I.v.M., M.Z., B.N.v.B., P.S., W.M.v.d.F.), Department of Radiology & Nuclear Medicine (R.O., C.G., M.Y., F.B., B.N.v.B.), and Neurochemistry Laboratory, Department of Clinical Chemistry (C.E.T.), Amsterdam Neuroscience, and Department of Epidemiology & Biostatistics (I.v.M., W.M.v.d.F.), Vrije Universiteit Amsterdam, Amsterdam UMC, the Netherlands; Laboratory of Neuroimaging of Aging (LANVIE) (D.A., G.B.F.), University of Geneva, Switzerland; Memory Clinic (D.A.), University Hospitals of Geneva, Switzerland; Laboratory of Alzheimer's Neuroimaging and Epidemiology (LANE) (D.A.), Saint John of God Clinical Research Centre; Department of Molecular and Translational Medicine (D.A.), University of Brescia, Italy; Clinical Memory Research Unit (R.O.), Lund University, Malmö, Sweden; Institutes of Neurology and Healthcare Engineering (F.B.), UCL, London, UK; and Memory Clinic (D.A., G.B.F.), University Hospitals of Geneva, Switzerland
| | - Wiesje M van der Flier
- From the Alzheimer Center Amsterdam, Department of Neurology (D.A., A.d.W., R.O., W.P., F.B., C.G., I.v.M., M.Z., B.N.v.B., P.S., W.M.v.d.F.), Department of Radiology & Nuclear Medicine (R.O., C.G., M.Y., F.B., B.N.v.B.), and Neurochemistry Laboratory, Department of Clinical Chemistry (C.E.T.), Amsterdam Neuroscience, and Department of Epidemiology & Biostatistics (I.v.M., W.M.v.d.F.), Vrije Universiteit Amsterdam, Amsterdam UMC, the Netherlands; Laboratory of Neuroimaging of Aging (LANVIE) (D.A., G.B.F.), University of Geneva, Switzerland; Memory Clinic (D.A.), University Hospitals of Geneva, Switzerland; Laboratory of Alzheimer's Neuroimaging and Epidemiology (LANE) (D.A.), Saint John of God Clinical Research Centre; Department of Molecular and Translational Medicine (D.A.), University of Brescia, Italy; Clinical Memory Research Unit (R.O.), Lund University, Malmö, Sweden; Institutes of Neurology and Healthcare Engineering (F.B.), UCL, London, UK; and Memory Clinic (D.A., G.B.F.), University Hospitals of Geneva, Switzerland.
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de Wilde A, Ossenkoppele R, Pelkmans W, Bouwman F, Groot C, van Maurik I, Zwan M, Yaqub M, Barkhof F, Lammertsma AA, Biessels GJ, Scheltens P, van Berckel BN, van der Flier WM. Assessment of the appropriate use criteria for amyloid PET in an unselected memory clinic cohort: The ABIDE project. Alzheimers Dement 2019; 15:1458-1467. [PMID: 31594684 DOI: 10.1016/j.jalz.2019.07.003] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/12/2019] [Revised: 06/01/2019] [Accepted: 07/01/2019] [Indexed: 01/01/2023]
Abstract
INTRODUCTION The objective of this study was to assess the usefulness of the appropriate use criteria (AUC) for amyloid imaging in an unselected cohort. METHODS We calculated sensitivity and specificity of appropriate use (increased confidence and management change), as defined by Amyloid Imaging Taskforce in the AUC, and other clinical utility outcomes. Furthermore, we compared differences in post-positron emission tomography diagnosis and management change between "AUC-consistent" and "AUC-inconsistent" patients. RESULTS Almost half (250/507) of patients were AUC-consistent. In both AUC-consistent and AUC-inconsistent patients, post-positron emission tomography diagnosis (28%-21%) and management (32%-17%) change was substantial. The Amyloid Imaging Taskforce's definition of appropriate use occurred in 55/507 (13%) patients, detected by the AUC with a sensitivity of 93%, and a specificity of 56%. Diagnostic changes occurred independently of AUC status (sensitivity: 57%, specificity: 53%). DISCUSSION The current AUC are not sufficiently able to discriminate between patients who will benefit from amyloid positron emission tomography and those who will not.
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Affiliation(s)
- Arno de Wilde
- Department of Neurology, Amsterdam Neuroscience, Alzheimer Center, VU University, Amsterdam UMC, Amsterdam, the Netherlands.
| | - Rik Ossenkoppele
- Department of Neurology, Amsterdam Neuroscience, Alzheimer Center, VU University, Amsterdam UMC, Amsterdam, the Netherlands; Department of Radiology and Nuclear Medicine, Amsterdam Neuroscience, VU University, Amsterdam UMC, Amsterdam, the Netherlands; Clinical Memory Research Unit, Lund University, Malmö, Sweden
| | - Wiesje Pelkmans
- Department of Neurology, Amsterdam Neuroscience, Alzheimer Center, VU University, Amsterdam UMC, Amsterdam, the Netherlands
| | - Femke Bouwman
- Department of Neurology, Amsterdam Neuroscience, Alzheimer Center, VU University, Amsterdam UMC, Amsterdam, the Netherlands
| | - Colin Groot
- Department of Neurology, Amsterdam Neuroscience, Alzheimer Center, VU University, Amsterdam UMC, Amsterdam, the Netherlands; Department of Radiology and Nuclear Medicine, Amsterdam Neuroscience, VU University, Amsterdam UMC, Amsterdam, the Netherlands
| | - Ingrid van Maurik
- Department of Neurology, Amsterdam Neuroscience, Alzheimer Center, VU University, Amsterdam UMC, Amsterdam, the Netherlands
| | - Marissa Zwan
- Department of Neurology, Amsterdam Neuroscience, Alzheimer Center, VU University, Amsterdam UMC, Amsterdam, the Netherlands
| | - Maqsood Yaqub
- Department of Radiology and Nuclear Medicine, Amsterdam Neuroscience, VU University, Amsterdam UMC, Amsterdam, the Netherlands
| | - Frederik Barkhof
- Department of Radiology and Nuclear Medicine, Amsterdam Neuroscience, VU University, Amsterdam UMC, Amsterdam, the Netherlands; Institutes of Neurology and Healthcare Engineering, UCL, London, UK
| | - Adriaan A Lammertsma
- Department of Radiology and Nuclear Medicine, Amsterdam Neuroscience, VU University, Amsterdam UMC, Amsterdam, the Netherlands
| | - Geert Jan Biessels
- Department of Neurology and Neurosurgery, Brain Center Rudolf Magnus, University Medical Center Utrecht, Utrecht, the Netherlands
| | - Philip Scheltens
- Department of Neurology, Amsterdam Neuroscience, Alzheimer Center, VU University, Amsterdam UMC, Amsterdam, the Netherlands
| | - Bart N van Berckel
- Department of Neurology, Amsterdam Neuroscience, Alzheimer Center, VU University, Amsterdam UMC, Amsterdam, the Netherlands; Department of Radiology and Nuclear Medicine, Amsterdam Neuroscience, VU University, Amsterdam UMC, Amsterdam, the Netherlands
| | - Wiesje M van der Flier
- Department of Neurology, Amsterdam Neuroscience, Alzheimer Center, VU University, Amsterdam UMC, Amsterdam, the Netherlands; Department of Epidemiology and Biostatistics, Amsterdam Neuroscience, VU University of Amsterdam, Amsterdam, the Netherlands
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de Wilde A, van der Flier WM, Pelkmans W, Bouwman F, Verwer J, Groot C, van Buchem MM, Zwan M, Ossenkoppele R, Yaqub M, Kunneman M, Smets EMA, Barkhof F, Lammertsma AA, Stephens A, van Lier E, Biessels GJ, van Berckel BN, Scheltens P. Association of Amyloid Positron Emission Tomography With Changes in Diagnosis and Patient Treatment in an Unselected Memory Clinic Cohort: The ABIDE Project. JAMA Neurol 2019; 75:1062-1070. [PMID: 29889941 DOI: 10.1001/jamaneurol.2018.1346] [Citation(s) in RCA: 88] [Impact Index Per Article: 17.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/17/2022]
Abstract
Importance Previous studies have evaluated the diagnostic effect of amyloid positron emission tomography (PET) in selected research cohorts. However, these research populations do not reflect daily practice, thus hampering clinical implementation of amyloid imaging. Objective To evaluate the association of amyloid PET with changes in diagnosis, diagnostic confidence, treatment, and patients' experiences in an unselected memory clinic cohort. Design, Setting, and Participants Amyloid PET using fluoride-18 florbetaben was offered to 866 patients who visited the tertiary memory clinic at the VU University Medical Center between January 2015 and December 2016 as part of their routine diagnostic dementia workup. Of these patients, 476 (55%) were included, 32 (4%) were excluded, and 358 (41%) did not participate. To enrich this sample, 31 patients with mild cognitive impairment from the University Medical Center Utrecht memory clinic were included. For each patient, neurologists determined a preamyloid and postamyloid PET diagnosis that existed of both a clinical syndrome (dementia, mild cognitive impairment, or subjective cognitive decline) and a suspected etiology (Alzheimer disease [AD] or non-AD), with a confidence level ranging from 0% to 100%. In addition, the neurologist determined patient treatment in terms of ancillary investigations, medication, and care. Each patient received a clinical follow-up 1 year after being scanned. Main Outcomes and Measures Primary outcome measures were post-PET changes in diagnosis, diagnostic confidence, and patient treatment. Results Of the 507 patients (mean [SD] age, 65 (8) years; 201 women [39%]; mean [SD] Mini-Mental State Examination score, 25 [4]), 164 (32%) had AD dementia, 70 (14%) non-AD dementia, 114 (23%) mild cognitive impairment, and 159 (31%) subjective cognitive decline. Amyloid PET results were positive for 242 patients (48%). The suspected etiology changed for 125 patients (25%) after undergoing amyloid PET, more often due to a negative (82 of 265 [31%]) than a positive (43 of 242 [18%]) PET result (P < .01). Post-PET changes in suspected etiology occurred more frequently in patients older (>65 years) than younger (<65 years) than the typical age at onset of 65 years (74 of 257 [29%] vs 51 of 250 [20%]; P < .05). Mean diagnostic confidence (SD) increased from 80 (13) to 89 (13%) (P < .001). In 123 patients (24%), there was a change in patient treatment post-PET, mostly related to additional investigations and therapy. Conclusions and Relevance This prospective diagnostic study provides a bridge between validating amyloid PET in a research setting and implementing this diagnostic tool in daily clinical practice. Both amyloid-positive and amyloid-negative results had substantial associations with changes in diagnosis and treatment, both in patients with and without dementia.
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Affiliation(s)
- Arno de Wilde
- Department of Neurology & Alzheimer Center, Amsterdam Neuroscience, VU University Medical Center, Amsterdam, the Netherlands
| | - Wiesje M van der Flier
- Department of Neurology & Alzheimer Center, Amsterdam Neuroscience, VU University Medical Center, Amsterdam, the Netherlands.,Department of Epidemiology & Biostatistics, Amsterdam Neuroscience, VU University Medical Center, Amsterdam, the Netherlands
| | - Wiesje Pelkmans
- Department of Neurology & Alzheimer Center, Amsterdam Neuroscience, VU University Medical Center, Amsterdam, the Netherlands
| | - Femke Bouwman
- Department of Neurology & Alzheimer Center, Amsterdam Neuroscience, VU University Medical Center, Amsterdam, the Netherlands
| | - Jurre Verwer
- Department of Neurology and Neurosurgery, Brain Center Rudolf Magnus, University Medical Center Utrecht, Utrecht, the Netherlands
| | - Colin Groot
- Department of Radiology & Nuclear Medicine, Amsterdam Neuroscience, VU University Medical Center, Amsterdam, the Netherlands
| | - Marieke M van Buchem
- Department of Neurology & Alzheimer Center, Amsterdam Neuroscience, VU University Medical Center, Amsterdam, the Netherlands
| | - Marissa Zwan
- Department of Neurology & Alzheimer Center, Amsterdam Neuroscience, VU University Medical Center, Amsterdam, the Netherlands
| | - Rik Ossenkoppele
- Department of Neurology & Alzheimer Center, Amsterdam Neuroscience, VU University Medical Center, Amsterdam, the Netherlands.,Department of Radiology & Nuclear Medicine, Amsterdam Neuroscience, VU University Medical Center, Amsterdam, the Netherlands
| | - Maqsood Yaqub
- Department of Radiology & Nuclear Medicine, Amsterdam Neuroscience, VU University Medical Center, Amsterdam, the Netherlands
| | - Marleen Kunneman
- Department of Medical Psychology, Amsterdam Neuroscience, Academic Medical Center, University of Amsterdam, Amsterdam, the Netherlands
| | - Ellen M A Smets
- Department of Medical Psychology, Amsterdam Neuroscience, Academic Medical Center, University of Amsterdam, Amsterdam, the Netherlands
| | - Frederik Barkhof
- Department of Radiology & Nuclear Medicine, Amsterdam Neuroscience, VU University Medical Center, Amsterdam, the Netherlands.,Institutes of Neurology and Healthcare Engineering, University College London, London, England
| | - Adriaan A Lammertsma
- Department of Radiology & Nuclear Medicine, Amsterdam Neuroscience, VU University Medical Center, Amsterdam, the Netherlands
| | | | | | - Geert Jan Biessels
- Department of Neurology and Neurosurgery, Brain Center Rudolf Magnus, University Medical Center Utrecht, Utrecht, the Netherlands
| | - Bart N van Berckel
- Department of Neurology & Alzheimer Center, Amsterdam Neuroscience, VU University Medical Center, Amsterdam, the Netherlands.,Department of Radiology & Nuclear Medicine, Amsterdam Neuroscience, VU University Medical Center, Amsterdam, the Netherlands
| | - Philip Scheltens
- Department of Neurology & Alzheimer Center, Amsterdam Neuroscience, VU University Medical Center, Amsterdam, the Netherlands
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van Loenhoud AC, van der Flier WM, Wink AM, Dicks E, Groot C, Twisk J, Barkhof F, Scheltens P, Ossenkoppele R. Cognitive reserve and clinical progression in Alzheimer disease: A paradoxical relationship. Neurology 2019; 93:e334-e346. [PMID: 31266904 PMCID: PMC6669930 DOI: 10.1212/wnl.0000000000007821] [Citation(s) in RCA: 70] [Impact Index Per Article: 14.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/19/2018] [Accepted: 03/08/2019] [Indexed: 11/15/2022] Open
Abstract
OBJECTIVE To investigate the relationship between cognitive reserve (CR) and clinical progression across the Alzheimer disease (AD) spectrum. METHODS We selected 839 β-amyloid (Aβ)-positive participants with normal cognition (NC, n = 175), mild cognitive impairment (MCI, n = 437), or AD dementia (n = 227) from the Alzheimer's Disease Neuroimaging Initiative (ADNI). CR was quantified using standardized residuals (W scores) from a (covariate-adjusted) linear regression with global cognition (13-item Alzheimer's Disease Assessment Scale-cognitive subscale) as an independent variable of interest, and either gray matter volumes or white matter hyperintensity volume as dependent variables. These W scores, reflecting whether an individual's degree of cerebral damage is lower or higher than clinically expected, were tested as predictors of diagnostic conversion (i.e., NC to MCI/AD dementia, or MCI to AD dementia) and longitudinal changes in memory (ADNI-MEM) and executive functions (ADNI-EF). RESULTS The median follow-up period was 24 months (interquartile range 6-42). Corrected for age, sex, APOE4 status, and baseline cerebral damage, higher gray matter volume-based W scores (i.e., greater CR) were associated with a lower diagnostic conversion risk (hazard ratio [HR] 0.22, p < 0.001) and slower decline in memory (β = 0.48, p < 0.001) and executive function (β = 0.67, p < 0.001). Stratified by disease stage, we found similar results for NC (diagnostic conversion: HR 0.30, p = 0.038; ADNI-MEM: β = 0.52, p = 0.028; ADNI-EF: β = 0.42, p = 0.077) and MCI (diagnostic conversion: HR 0.21, p < 0.001; ADNI-MEM: β = 0.43, p = 0.003; ADNI-EF: β = 0.59, p < 0.001), but opposite findings (i.e., more rapid decline) for AD dementia (ADNI-MEM: β = -0.91, p = 0.002; ADNI-EF: β = -0.77, p = 0.081). CONCLUSIONS Among Aβ-positive individuals, greater CR related to attenuated clinical progression in predementia stages of AD, but accelerated cognitive decline after the onset of dementia.
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Affiliation(s)
- Anna Catharina van Loenhoud
- From Alzheimer Center Amsterdam, Department of Neurology (A.C.v.L., W.M.v.d.F., E.D., C.G., P.S., R.O.), and Department of Radiology and Nuclear Medicine (A.M.W., F.B., R.O.), Amsterdam Neuroscience, and Department of Epidemiology and Biostatistics (W.M.v.d.F., J.T.), Vrije Universiteit Amsterdam, Amsterdam UMC, the Netherlands; Institutes of Neurology and Healthcare Engineering (F.B.), University College London, UK; and Clinical Memory Research Unit (R.O.), Lund University, Sweden.
| | - Wiesje Maria van der Flier
- From Alzheimer Center Amsterdam, Department of Neurology (A.C.v.L., W.M.v.d.F., E.D., C.G., P.S., R.O.), and Department of Radiology and Nuclear Medicine (A.M.W., F.B., R.O.), Amsterdam Neuroscience, and Department of Epidemiology and Biostatistics (W.M.v.d.F., J.T.), Vrije Universiteit Amsterdam, Amsterdam UMC, the Netherlands; Institutes of Neurology and Healthcare Engineering (F.B.), University College London, UK; and Clinical Memory Research Unit (R.O.), Lund University, Sweden
| | - Alle Meije Wink
- From Alzheimer Center Amsterdam, Department of Neurology (A.C.v.L., W.M.v.d.F., E.D., C.G., P.S., R.O.), and Department of Radiology and Nuclear Medicine (A.M.W., F.B., R.O.), Amsterdam Neuroscience, and Department of Epidemiology and Biostatistics (W.M.v.d.F., J.T.), Vrije Universiteit Amsterdam, Amsterdam UMC, the Netherlands; Institutes of Neurology and Healthcare Engineering (F.B.), University College London, UK; and Clinical Memory Research Unit (R.O.), Lund University, Sweden
| | - Ellen Dicks
- From Alzheimer Center Amsterdam, Department of Neurology (A.C.v.L., W.M.v.d.F., E.D., C.G., P.S., R.O.), and Department of Radiology and Nuclear Medicine (A.M.W., F.B., R.O.), Amsterdam Neuroscience, and Department of Epidemiology and Biostatistics (W.M.v.d.F., J.T.), Vrije Universiteit Amsterdam, Amsterdam UMC, the Netherlands; Institutes of Neurology and Healthcare Engineering (F.B.), University College London, UK; and Clinical Memory Research Unit (R.O.), Lund University, Sweden
| | - Colin Groot
- From Alzheimer Center Amsterdam, Department of Neurology (A.C.v.L., W.M.v.d.F., E.D., C.G., P.S., R.O.), and Department of Radiology and Nuclear Medicine (A.M.W., F.B., R.O.), Amsterdam Neuroscience, and Department of Epidemiology and Biostatistics (W.M.v.d.F., J.T.), Vrije Universiteit Amsterdam, Amsterdam UMC, the Netherlands; Institutes of Neurology and Healthcare Engineering (F.B.), University College London, UK; and Clinical Memory Research Unit (R.O.), Lund University, Sweden
| | - Jos Twisk
- From Alzheimer Center Amsterdam, Department of Neurology (A.C.v.L., W.M.v.d.F., E.D., C.G., P.S., R.O.), and Department of Radiology and Nuclear Medicine (A.M.W., F.B., R.O.), Amsterdam Neuroscience, and Department of Epidemiology and Biostatistics (W.M.v.d.F., J.T.), Vrije Universiteit Amsterdam, Amsterdam UMC, the Netherlands; Institutes of Neurology and Healthcare Engineering (F.B.), University College London, UK; and Clinical Memory Research Unit (R.O.), Lund University, Sweden
| | - Frederik Barkhof
- From Alzheimer Center Amsterdam, Department of Neurology (A.C.v.L., W.M.v.d.F., E.D., C.G., P.S., R.O.), and Department of Radiology and Nuclear Medicine (A.M.W., F.B., R.O.), Amsterdam Neuroscience, and Department of Epidemiology and Biostatistics (W.M.v.d.F., J.T.), Vrije Universiteit Amsterdam, Amsterdam UMC, the Netherlands; Institutes of Neurology and Healthcare Engineering (F.B.), University College London, UK; and Clinical Memory Research Unit (R.O.), Lund University, Sweden
| | - Philip Scheltens
- From Alzheimer Center Amsterdam, Department of Neurology (A.C.v.L., W.M.v.d.F., E.D., C.G., P.S., R.O.), and Department of Radiology and Nuclear Medicine (A.M.W., F.B., R.O.), Amsterdam Neuroscience, and Department of Epidemiology and Biostatistics (W.M.v.d.F., J.T.), Vrije Universiteit Amsterdam, Amsterdam UMC, the Netherlands; Institutes of Neurology and Healthcare Engineering (F.B.), University College London, UK; and Clinical Memory Research Unit (R.O.), Lund University, Sweden
| | - Rik Ossenkoppele
- From Alzheimer Center Amsterdam, Department of Neurology (A.C.v.L., W.M.v.d.F., E.D., C.G., P.S., R.O.), and Department of Radiology and Nuclear Medicine (A.M.W., F.B., R.O.), Amsterdam Neuroscience, and Department of Epidemiology and Biostatistics (W.M.v.d.F., J.T.), Vrije Universiteit Amsterdam, Amsterdam UMC, the Netherlands; Institutes of Neurology and Healthcare Engineering (F.B.), University College London, UK; and Clinical Memory Research Unit (R.O.), Lund University, Sweden
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49
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Leijenaar JF, Groot C, Sudre CH, Bergeron D, Leeuwis AE, Cardoso J, Carrasco FP, Laforce R, Barkhof F, van der Flier WM, Scheltens P, Prins ND, Ossenkoppele R. O3-04-06: COMORBID AMYLOID-β PATHOLOGY AFFECTS NEUROPSYCHIATRIC, NEUROPSYCHOLOGICAL, AND IMAGING FEATURES IN VASCULAR COGNITIVE DISORDERS. Alzheimers Dement 2019. [DOI: 10.1016/j.jalz.2019.06.4647] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
Affiliation(s)
- Jolien F. Leijenaar
- Amsterdam Neuroscience; Vrije Universiteit Amsterdam, Amsterdam UMC; Amsterdam Netherlands
| | - Colin Groot
- Amsterdam Neuroscience; Vrije Universiteit Amsterdam, Amsterdam UMC; Amsterdam Netherlands
| | - Carole H. Sudre
- University College London; London United Kingdom
- King's College London; London United Kingdom
| | | | - Anna E. Leeuwis
- Amsterdam Neuroscience; Vrije Universiteit Amsterdam, Amsterdam UMC; Amsterdam Netherlands
| | - Jorge Cardoso
- University College London; London United Kingdom
- KCL School of Biomedical Engineering and Imaging Sciences; London United Kingdom
| | | | - Robert Laforce
- Centre de Recherche du CHU de Québec-Université Laval; Québec QC Canada
| | - Frederik Barkhof
- Amsterdam Neuroscience; Vrije Universiteit Amsterdam, Amsterdam UMC; Amsterdam Netherlands
- University College London; London United Kingdom
| | | | - Philip Scheltens
- Amsterdam Neuroscience; Vrije Universiteit Amsterdam, Amsterdam UMC; Amsterdam Netherlands
| | - Niels D. Prins
- Amsterdam Neuroscience; Vrije Universiteit Amsterdam, Amsterdam UMC; Amsterdam Netherlands
- Brain Research Center; Amsterdam Netherlands
| | - Rik Ossenkoppele
- Amsterdam Neuroscience; Vrije Universiteit Amsterdam, Amsterdam UMC; Amsterdam Netherlands
- Lund University; Lund Sweden
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50
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van Loenhoud AC, Groot C, Barkhof F, Scheltens P, van der Flier WM, Ossenkoppele R. IC-P-100: A LONGITUDINAL STUDY OF THE EFFECTS OF EDUCATION AND INTRACRANIAL VOLUME ON COGNITIVE CHANGES AND MORTALITY RATES IN ALZHEIMER'S DISEASE. Alzheimers Dement 2019. [DOI: 10.1016/j.jalz.2019.06.4943] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Affiliation(s)
- Anna C. van Loenhoud
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience; Vrije Universiteit Amsterdam, Amsterdam UMC; Amsterdam Netherlands
| | - Colin Groot
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience; Vrije Universiteit Amsterdam, Amsterdam UMC; Amsterdam Netherlands
| | | | - Philip Scheltens
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience; Vrije Universiteit Amsterdam, Amsterdam UMC; Amsterdam Netherlands
| | - Wiesje M. van der Flier
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience; Vrije Universiteit Amsterdam, Amsterdam UMC; Amsterdam Netherlands
| | - Rik Ossenkoppele
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience; Vrije Universiteit Amsterdam, Amsterdam UMC; Amsterdam Netherlands
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