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Extraneous neuroimaging factors do not contribute to sex differences in flortaucipir signal: Analysis of skull binding and partial volume effects
Author(s) -
Scott Matthew R.,
Edwards Natalie C,
Properzi Michael J,
Jacobs Heidi I.L.,
Price Julie C,
Manning Lyssa K,
Mayblyum Danielle V.,
Rubinstein Zoe B.,
Rentz Dorene M.,
Johnson Keith A.,
Sperling Reisa A.,
Schultz Aaron P.,
Buckley Rachel F.
Publication year - 2021
Publication title -
alzheimer's and dementia
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 6.713
H-Index - 118
eISSN - 1552-5279
pISSN - 1552-5260
DOI - 10.1002/alz.056051
Subject(s) - skull , neuroimaging , brain size , partial volume , voxel , psychology , neuroscience , medicine , magnetic resonance imaging , nuclear medicine , anatomy , radiology
Background Clinically normal females exhibit greater [18]F‐flortaucipir (FTP) PET signal than males in both temporal and neocortices. It remains unclear whether sex differences in neocortical regions are primarily explained by technical variability issues. We aimed to investigate the contribution of signal spillover/off‐target skull binding to sex differences in FTP‐PET. Next, we explored partial volume effects (PVE) by simulating sex differences in smoothed FTP‐PET signal. Discerning sex differences in tau signal versus noise is pivotal to understanding sex differences in the pathology of Alzheimer’s disease and associated tauopathies. Method 343 clinically normal (female=58%; mean[SD]=73.8[8.5] years) (female=38%; mean[SD]=76.9[7.3] years) participants from the Harvard Aging Brain Study and the Alzheimer’s Disease Neuroimaging Initiative underwent cross‐sectional FTP‐PET (standardized uptake value ratios [SUVrs]). For skull analyses, we created skull ROIs based on signal 12mm from the outer perimeter of voxels in FreeSurfer‐defined tau ROIs. Linear regression models estimated the main effects of sex across cortical tau ROIs while correcting for local skull binding. We simulated PVE by convolving group‐level SUVr means in each ROI with 6mm Gaussian kernels, and then compared the sexes with linear regression models post‐smoothing. Result Widespread sex differences in skull binding were observed (Table 1). Covarying for skull binding ameliorated weaker sex differences in cortical FTP signal but did not impact the largest effects. Sex differences in PVE were observed in both female and male directions; no clear sex‐related biases in PVE were found to impact cortical tau sex differences except for the rostral middle frontal region (Figure 1). Conclusion Our findings suggest that sex differences in FTP‐PET are not solely attributed to skull ‘clouding’ or PVE, but rather support hypotheses of female‐related tau vulnerability. Nevertheless, as only two potential confounds were investigated, and gross morphology/volumetric issues remain a key concern, further investigation is needed to fully elucidate this phenomenon. Investigations of sex differences in longitudinal tau accumulation (a few preliminary reports already suggest faster rates in females) will add further support to the argument that noise properties inherent in FTP‐PET do not significantly contribute to sex differences in cortical tau signal.