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      Determinants of cognitive and brain resilience to tau pathology: a longitudinal analysis

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          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 (Stβ interaction = −0.062, P = 0.032), higher education level (Stβ interaction = −0.072, P = 0.011) and higher intracranial volume (Stβ interaction = −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.

          Abstract

          Bocancea et al. investigate the factors that allow some individuals to maintain intact brain structure and cognitive performance despite abundant tau pathology. The results confirm the robust association between education and resilience, but also suggest that resilience may be depleted with advancing pathology.

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          Most cited references75

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          Controlling the False Discovery Rate: A Practical and Powerful Approach to Multiple Testing

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            An automated labeling system for subdividing the human cerebral cortex on MRI scans into gyral based regions of interest.

            In this study, we have assessed the validity and reliability of an automated labeling system that we have developed for subdividing the human cerebral cortex on magnetic resonance images into gyral based regions of interest (ROIs). Using a dataset of 40 MRI scans we manually identified 34 cortical ROIs in each of the individual hemispheres. This information was then encoded in the form of an atlas that was utilized to automatically label ROIs. To examine the validity, as well as the intra- and inter-rater reliability of the automated system, we used both intraclass correlation coefficients (ICC), and a new method known as mean distance maps, to assess the degree of mismatch between the manual and the automated sets of ROIs. When compared with the manual ROIs, the automated ROIs were highly accurate, with an average ICC of 0.835 across all of the ROIs, and a mean distance error of less than 1 mm. Intra- and inter-rater comparisons yielded little to no difference between the sets of ROIs. These findings suggest that the automated method we have developed for subdividing the human cerebral cortex into standard gyral-based neuroanatomical regions is both anatomically valid and reliable. This method may be useful for both morphometric and functional studies of the cerebral cortex as well as for clinical investigations aimed at tracking the evolution of disease-induced changes over time, including clinical trials in which MRI-based measures are used to examine response to treatment.
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              AFNI: software for analysis and visualization of functional magnetic resonance neuroimages.

              C. R. Cox (1996)
              A package of computer programs for analysis and visualization of three-dimensional human brain functional magnetic resonance imaging (FMRI) results is described. The software can color overlay neural activation maps onto higher resolution anatomical scans. Slices in each cardinal plane can be viewed simultaneously. Manual placement of markers on anatomical landmarks allows transformation of anatomical and functional scans into stereotaxic (Talairach-Tournoux) coordinates. The techniques for automatically generating transformed functional data sets from manually labeled anatomical data sets are described. Facilities are provided for several types of statistical analyses of multiple 3D functional data sets. The programs are written in ANSI C and Motif 1.2 to run on Unix workstations.
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                Author and article information

                Contributors
                Journal
                Brain
                Brain
                brainj
                Brain
                Oxford University Press (US )
                0006-8950
                1460-2156
                September 2023
                27 March 2023
                27 March 2023
                : 146
                : 9
                : 3719-3734
                Affiliations
                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
                Alzheimer Center Amsterdam, Neurology, Vrije Universiteit Amsterdam, Amsterdam UMC location VUmc , 1081 HZ Amsterdam, The Netherlands
                Amsterdam Neuroscience, Neurodegeneration , 1081 HV Amsterdam, The Netherlands
                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
                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
                Clinical Memory Research Unit, Lund University , 211 46 Lund, Sweden
                Clinical Memory Research Unit, Lund University , 211 46 Lund, Sweden
                Department of Neurology, Skåne University Hospital , 221 84 Lund, Sweden
                Department of Neurology, Memory and Aging Center, University of California , San Francisco, CA 94158, USA
                Department of Neurology, Memory and Aging Center, University of California , San Francisco, CA 94158, USA
                Avid Radiopharmaceuticals , Philadelphia, PA 19104, USA
                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
                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
                Clinical Memory Research Unit, Lund University , 211 46 Lund, Sweden
                Memory Clinic, Skåne University Hospital , 214 28 Malmö, Sweden
                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
                Author notes
                Correspondence to: Diana I. Bocancea Alzheimer Center Amsterdam De Boelelaan 1118, 1081 HZ Amsterdam, The Netherlands E-mail: d.i.bocancea@ 123456amsterdamumc.nl
                Correspondence may also be addressed to: Rik Ossenkoppele E-mail: r.ossenkoppele@ 123456amsterdamumc.nl
                Author information
                https://orcid.org/0000-0002-5802-6946
                https://orcid.org/0000-0001-7147-0112
                https://orcid.org/0000-0003-2581-8100
                https://orcid.org/0000-0001-8467-7286
                Article
                awad100
                10.1093/brain/awad100
                10473572
                36967222
                2fc0e9b1-632d-4a34-aef0-81f6053f2afe
                © The Author(s) 2023. Published by Oxford University Press on behalf of the Guarantors of Brain.

                This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial License ( https://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com

                History
                : 06 October 2022
                : 03 February 2023
                : 23 February 2023
                : 09 June 2023
                Page count
                Pages: 16
                Product
                Funding
                Funded by: European Research Council, DOI 10.13039/501100000781;
                Award ID: 949570
                Funded by: Alzheimer Nederland, DOI 10.13039/501100010969;
                Funded by: Regionalt Forskningsstöd;
                Award ID: Doktorand-2021-0883
                Funded by: Swedish federal government;
                Award ID: 2018-ST0030
                Categories
                Original Article
                AcademicSubjects/MED00310
                AcademicSubjects/SCI01870

                Neurosciences
                alzheimer’s disease,tau,resilience,cognition,pet,mri
                Neurosciences
                alzheimer’s disease, tau, resilience, cognition, pet, mri

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