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@ARTICLE{Baker:141060,
author = {Baker, Suzanne L and Maaß, Anne and Jagust, William J},
title = {{C}onsiderations and code for partial volume correcting
[18{F}]-{AV}-1451 tau {PET} data.},
journal = {Data in Brief},
volume = {15},
issn = {2352-3409},
address = {Amsterdam [u.a.]},
publisher = {Elsevier},
reportid = {DZNE-2020-07382},
pages = {648-657},
year = {2017},
abstract = {[18F]-AV-1451 is a leading tracer used with positron
emission tomography (PET) to quantify tau pathology.
However, [18F]-AV-1451 shows 'off target' or non-specific
binding, which we define as binding of the tracer in
unexpected areas unlikely to harbor aggregated tau based on
autopsy literature [1]. Along with caudate, putamen,
pallidum and thalamus non-specific binding [2], [3], we have
found binding in the superior portion of the cerebellar gray
matter, leading us to use inferior cerebellar gray as the
reference region. We also addressed binding in the posterior
portion of the choroid plexus. PET signal unlikely to be
associated with tau also occurs in skull, meninges and soft
tissue (see e.g. [4]). We refer to [18F]-AV-1451 binding in
the skull and meninges as extra-cortical hotspots (ECH) and
find them near lateral and medial orbitofrontal, lateral
occipital, inferior and middle temporal, superior and
inferior parietal, and inferior cerebellar gray matter.
Lastly, the choroid plexus also shows non-specific binding
that bleeds into hippocampus. We are providing the code
(http://www.runmycode.org/companion/view/2798) used to
create different regions of interest (ROIs) that we then
used to perform Partial Volume Correction (PVC) using the
Rousset geometric transfer matrix method (GTM, [5]). This
method was used in the companion article, 'Comparison of
multiple tau-PET measures as biomarkers in aging and
Alzheimer's Disease' ([6], DOI
10.1016/j.neuroimage.2017.05.058).},
cin = {AG Düzel},
ddc = {570},
cid = {I:(DE-2719)5000006},
pnm = {344 - Clinical and Health Care Research (POF3-344)},
pid = {G:(DE-HGF)POF3-344},
typ = {PUB:(DE-HGF)16},
pubmed = {pmid:29124088},
pmc = {pmc:PMC5671473},
doi = {10.1016/j.dib.2017.10.024},
url = {https://pub.dzne.de/record/141060},
}