Inferior temporal tau is associated with accelerated prospective cortical thinning in clinically normal older adults

Neurofibrillary tau tangles are a hallmark pathology of Alzheimer's disease (AD) and are more closely associated with AD-related cortical atrophy and symptom severity than amyloid-beta (Aβ). However, studies regarding the effect of tau on longitudinal cortical thinning, particularly in healthy aging and preclinical Alzheimer's disease, have been limited in number due to the relatively recent introduction of in vivo PET tracers for imaging tau pathology. Here, we investigate [18F]-flortaucipir (FTP, a marker of paired helical filament tau) PET as a predictor of atrophy in healthy aging and preclinical AD. We examine longitudinal structural MRI brain imaging data, retrospectively and prospectively relative to FTP imaging, using piecewise linear mixed-effect models with time centered at each participant's FTP-PET session. Participants include 111 individuals from the Harvard Aging Brain Study who underwent at least three MRI sessions over an average of 4.46 years and one FTP-PET at the approximate midpoint of the observation period. Our primary analyses focus on inferior temporal (IT) FTP signal and longitudinal FreeSurfer defined cortical regions of interest. Relationships were also explored using other regional FTP measures (entorhinal, composite, and local), within high and low PiB-PET groups, and with longitudinal subcortical volume. Strong associations between IT FTP and cortical thinning were found, most notably in temporal, midline, and prefrontal regions, with stronger effects generally observed in the prospective as compared to retrospective time frame. Significant differences between prospective and retrospective rates of thinning were found in regions such as the inferior and middle temporal gyri as well as cingulate areas. Within the high PiB group, significant differences between prospective and retrospective rates of thinning in cingulate and temporal regions were similarly observed. However, no consistent pattern of tau-related change in cortical thickness within the low PiB group was discerned. These results provide support for the hypothesis that tau pathology is a driver of future atrophy as well as provide additional evidence for tau-PET as an effective AD biomarker for interventional clinical trials.

[1]  J. Molinuevo,et al.  Evolving brain structural changes in PSEN1 mutation carriers , 2015, Neurobiology of Aging.

[2]  Nick C. Fox,et al.  Mapping the evolution of regional atrophy in Alzheimer's disease: Unbiased analysis of fluid-registered serial magnetic resonance images , 2002 .

[3]  A. Evans,et al.  Correction for partial volume effects in PET: principle and validation. , 1998, Journal of nuclear medicine : official publication, Society of Nuclear Medicine.

[4]  C. Rowe,et al.  Amyloid β deposition, neurodegeneration, and cognitive decline in sporadic Alzheimer's disease: a prospective cohort study , 2013, The Lancet Neurology.

[5]  Jorge Sepulcre,et al.  Fluorodeoxyglucose metabolism associated with tau‐amyloid interaction predicts memory decline , 2017, Annals of neurology.

[6]  J. Morris The Clinical Dementia Rating (CDR) , 1993, Neurology.

[7]  Brian A. Gordon,et al.  Cross-sectional and longitudinal atrophy is preferentially associated with tau rather than amyloid β positron emission tomography pathology , 2018, Alzheimer's & dementia.

[8]  Jorge Sepulcre,et al.  Tau positron emission tomographic imaging in aging and early Alzheimer disease , 2016, Annals of neurology.

[9]  Kiralee M. Hayashi,et al.  Dynamics of Gray Matter Loss in Alzheimer's Disease , 2003, The Journal of Neuroscience.

[10]  Reisa A. Sperling,et al.  Tau Accumulation in Clinically Normal Older Adults Is Associated with Hippocampal Hyperactivity , 2018, The Journal of Neuroscience.

[11]  V. Leirer,et al.  Development and validation of a geriatric depression screening scale: a preliminary report. , 1982, Journal of psychiatric research.

[12]  H. Braak,et al.  Neuropathological stageing of Alzheimer-related changes , 2004, Acta Neuropathologica.

[13]  Reisa A. Sperling,et al.  Harvard Aging Brain Study: Dataset and accessibility , 2017, NeuroImage.

[14]  Ciprian Catana,et al.  Different partial volume correction methods lead to different conclusions: An 18F-FDG-PET study of aging , 2016, NeuroImage.

[15]  Theresa M. Harrison,et al.  Entorhinal Tau Pathology, Episodic Memory Decline, and Neurodegeneration in Aging , 2017, The Journal of Neuroscience.

[16]  Bruce Fischl,et al.  Within-subject template estimation for unbiased longitudinal image analysis , 2012, NeuroImage.

[17]  Nick C Fox,et al.  Mapping the evolution of regional atrophy in Alzheimer's disease: Unbiased analysis of fluid-registered serial MRI , 2002, Proceedings of the National Academy of Sciences of the United States of America.

[18]  Keith A. Johnson,et al.  The impact of amyloid‐beta and tau on prospective cognitive decline in older individuals , 2018, Annals of neurology.

[19]  Daniel R. Schonhaut,et al.  Tau PET patterns mirror clinical and neuroanatomical variability in Alzheimer's disease. , 2016, Brain : a journal of neurology.

[20]  Theresa M. Harrison,et al.  Longitudinal tau accumulation and atrophy in aging and alzheimer disease , 2019, Annals of neurology.

[21]  O. Garaschuk,et al.  Neuroinflammation in Alzheimer's disease , 2015, The Lancet Neurology.

[22]  H. Braak,et al.  Staging of Alzheimer disease-associated neurofibrillary pathology using paraffin sections and immunocytochemistry , 2006, Acta Neuropathologica.

[23]  J. Morris,et al.  Tangles and plaques in nondemented aging and “preclinical” Alzheimer's disease , 1999, Annals of neurology.

[24]  J. Morris,et al.  The Cortical Signature of Alzheimer's Disease: Regionally Specific Cortical Thinning Relates to Symptom Severity in Very Mild to Mild AD Dementia and is Detectable in Asymptomatic Amyloid-Positive Individuals , 2008, Cerebral cortex.

[25]  Keith A. Johnson,et al.  In Vivo Tau, Amyloid, and Gray Matter Profiles in the Aging Brain , 2016, The Journal of Neuroscience.

[26]  C. Jack,et al.  MR‐based hippocampal volumetry in the diagnosis of Alzheimer's disease , 1992, Neurology.

[27]  Guy B. Williams,et al.  In vivo coupling of tau pathology and cortical thinning in Alzheimer's disease , 2018, Alzheimer's & dementia.

[28]  M. Albert,et al.  MRI measures of entorhinal cortex vs hippocampus in preclinical AD , 2002, Neurology.

[29]  C. Jack,et al.  NIA-AA Research Framework: Toward a biological definition of Alzheimer’s disease , 2018, Alzheimer's & Dementia.

[30]  Rebecca A Betensky,et al.  Amyloid and APOE ε4 interact to influence short-term decline in preclinical Alzheimer disease , 2014, Neurology.

[31]  Keith A. Johnson,et al.  Synergistic effect of β-amyloid and neurodegeneration on cognitive decline in clinically normal individuals. , 2014, JAMA neurology.

[32]  Keith A. Johnson,et al.  Decreased hippocampal metabolism in high-amyloid mild cognitive impairment , 2016, Alzheimer's & Dementia.

[33]  Denise C. Park,et al.  Toward defining the preclinical stages of Alzheimer’s disease: Recommendations from the National Institute on Aging-Alzheimer's Association workgroups on diagnostic guidelines for Alzheimer's disease , 2011, Alzheimer's & Dementia.

[34]  Jesse A. Brown,et al.  Prospective longitudinal atrophy in Alzheimer’s disease correlates with the intensity and topography of baseline tau-PET , 2020, Science Translational Medicine.

[35]  S. DeKosky,et al.  Kinetic Modeling of Amyloid Binding in Humans using PET Imaging and Pittsburgh Compound-B , 2005, Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism.

[36]  H. Braak,et al.  Frequency of Stages of Alzheimer-Related Lesions in Different Age Categories , 1997, Neurobiology of Aging.

[37]  Marc Modat,et al.  Presymptomatic cortical thinning in familial Alzheimer disease , 2016, Neurology.

[38]  D. Mash,et al.  Neuropathological and neuropsychological changes in "normal" aging: evidence for preclinical Alzheimer disease in cognitively normal individuals. , 1998, Journal of neuropathology and experimental neurology.

[39]  M. Bobinski,et al.  Frequency of Stages of Alzheimer-Related Lesions in Different Age Categories , 1997, Neurobiology of Aging.

[40]  S. Folstein,et al.  "Mini-mental state". A practical method for grading the cognitive state of patients for the clinician. , 1975, Journal of psychiatric research.

[41]  N. Tustison,et al.  Longitudinal and cross-sectional structural magnetic resonance imaging correlates of AV-1451 uptake , 2018, Neurobiology of Aging.

[42]  M N Rossor,et al.  Patterns of temporal lobe atrophy in semantic dementia and Alzheimer's disease , 2001, Annals of neurology.

[43]  Reisa A. Sperling,et al.  The association between tau PET and retrospective cortical thinning in clinically normal elderly , 2017, NeuroImage.

[44]  Bradford C. Dickerson,et al.  Tau PET imaging in aging and early Alzheimer's disease , 2015 .

[45]  Keith A. Johnson,et al.  Association of In Vivo [18F]AV-1451 Tau PET Imaging Results With Cortical Atrophy and Symptoms in Typical and Atypical Alzheimer Disease , 2017, JAMA neurology.

[46]  C. Jack,et al.  Tracking pathophysiological processes in Alzheimer's disease: an updated hypothetical model of dynamic biomarkers , 2013, The Lancet Neurology.

[47]  Anders M. Dale,et al.  An automated labeling system for subdividing the human cerebral cortex on MRI scans into gyral based regions of interest , 2006, NeuroImage.

[48]  Keith A. Johnson,et al.  A concise radiosynthesis of the tau radiopharmaceutical, [(18) F]T807. , 2013, Journal of labelled compounds & radiopharmaceuticals.

[49]  J. Price The relationship between tangle and plaque formation during healthy aging and mild dementia , 1993, Neurobiology of Aging.

[50]  Christopher G Schwarz,et al.  Longitudinal tau PET in ageing and Alzheimer’s disease , 2018, Brain : a journal of neurology.

[51]  David Bartrés-Faz,et al.  Increased Cortical Thickness and Caudate Volume Precede Atrophy in Psen1 Mutation Carriers , 2010, Alzheimer's & Dementia.

[52]  H. Vankova Mini Mental State , 2010 .

[53]  Keith A. Johnson,et al.  Imaging of amyloid burden and distribution in cerebral amyloid angiopathy , 2007, Annals of neurology.

[54]  Mert R. Sabuncu,et al.  Clinical Prediction from Structural Brain MRI Scans: A Large-Scale Empirical Study , 2014, Neuroinformatics.

[55]  K. Jellinger,et al.  Correlation of Alzheimer Disease Neuropathologic Changes With Cognitive Status: A Review of the Literature , 2012, Journal of neuropathology and experimental neurology.