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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Hits 1 – 12 of 12 1 Changing the face of neuroimaging research: Comparing a new MRI de-facing technique with popular alternatives Schwarz, Christopher G.; Kremers, Walter K.; Wiste, Heather J.; Gunter, Jeffrey L.; Vemuri, Prashanthi; Spychalla, Anthony J.; Kantarci, Kejal; Schultz, Aaron P.; Sperling, Reisa A.; Knopman, David S.; Petersen, Ronald C.; Jack, Clifford R. In: Neuroimage (2021) Abstract: Recent advances in automated face recognition algorithms have increased the risk that de-identified research MRI scans may be re-identifiable by matching them to identified photographs using face recognition. A variety of software exist to de-face (remove faces from) MRI, but their ability to prevent face recognition has never been measured and their image modifications can alter automated brain measurements. In this study, we compared three popular de-facing techniques and introduce our mri_reface technique designed to minimize effects on brain measurements by replacing the face with a population average, rather than removing it. For each technique, we measured 1) how well it prevented automated face recognition (i.e. effects on exceptionally-motivated individuals) and 2) how it altered brain measurements from SPM12, FreeSurfer, and FSL (i.e. effects on the average user of de-identified data). Before de-facing, 97% of scans from a sample of 157 volunteers were correctly matched to photographs using automated face recognition. After de-facing with popular software, 28–38% of scans still retained enough data for successful automated face matching. Our proposed mri_reface had similar performance with the best existing method (fsl_deface) at preventing face recognition (28–30%) and it had the smallest effects on brain measurements in more pipelines than any other, but these differences were modest. Keyword: Article URL: http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8154695/ http://www.ncbi.nlm.nih.gov/pubmed/33582276 https://doi.org/10.1016/j.neuroimage.2021.117845 BASE Hide details 2 A molecular pathology, neurobiology, biochemical, genetic and neuroimaging study of progressive apraxia of speech Josephs, Keith A.; Duffy, Joseph R.; Clark, Heather M.... In: Nat Commun (2021) BASE Show details 3 Association of amyloid angiopathy with microbleeds in logopenic progressive aphasia: an imaging-pathology study Buciuc, Marina; Duffy, Joseph R.; Machulda, Mary M.... In: Eur J Neurol (2020) BASE Show details 4 Longitudinal anatomic, functional, and molecular characterization of Pick disease phenotypes Whitwell, Jennifer L.; Tosakulwong, Nirubol; Schwarz, Christopher C.... In: Neurology (2020) BASE Show details 5 An Evaluation of the Progressive Supranuclear Palsy Speech/Language Variant Whitwell, Jennifer L.; Stevens, Chase A.; Duffy, Joseph R.... In: Mov Disord Clin Pract (2019) BASE Show details 6 Clinical and Neuroimaging Characteristics of Clinically Unclassifiable Primary Progressive Aphasia Utianski, Rene L.; Botha, Hugo; Martin, Peter R.... In: Brain Lang (2019) BASE Show details 7 Longitudinal structural and molecular neuroimaging in agrammatic primary progressive aphasia Tetzloff, Katerina A; Duffy, Joseph R; Clark, Heather M. - : Oxford University Press, 2018 BASE Show details 8 Prosodic and Phonetic Subtypes of Primary Progressive Apraxia of Speech Utianski, Rene L.; Duffy, Joseph R.; Clark, Heather M.. - 2018 BASE Show details 9 Predicting clinical decline in progressive agrammatic aphasia and apraxia of speech Whitwell, Jennifer L.; Weigand, Stephen D.; Duffy, Joseph R.. - : Lippincott Williams & Wilkins, 2017 BASE Show details 10 Varying degrees of temporoparietal hypometabolism on FDG-PET reveal amyloid-positive logopenic primary progressive aphasia is not a homogeneous clinical entity Krishnan, Kamini; Machulda, Mary M.; Whitwell, Jennifer L.. - 2017 BASE Show details 11 Tracking the Development of Agrammatic Aphasia: a Tensor-Based Morphometry Study Whitwell, Jennifer L.; Duffy, Joseph R.; Machulda, Mary M.. - 2016 BASE Show details 12 Classification and clinicoradiologic features of primary progressive aphasia (PPA) and apraxia of speech Botha, Hugo; Duffy, Joseph R.; Whitwell, Jennifer L.. - 2015 BASE Show details

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