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dc.contributor.author Yeo, Woon Gi -
dc.contributor.author Gurel, Ogan -
dc.contributor.author Srinivasan, Nandhini -
dc.contributor.author King, Paul D -
dc.contributor.author Nahar, Niru K -
dc.contributor.author Park, Sung Chan -
dc.contributor.author Lehman, Norman L -
dc.contributor.author Sertel, Kubilay -
dc.date.accessioned 2018-02-05T04:12:24Z -
dc.date.available 2018-02-05T04:12:24Z -
dc.date.created 2018-01-01 -
dc.date.issued 2017-11 -
dc.identifier.issn 2156-342X -
dc.identifier.uri http://hdl.handle.net/20.500.11750/5640 -
dc.description.abstract We investigate the utility of terahertz (THz) spectroscopy in identifying Alzheimer's disease in human brain tissue. Using reflection-mode time-domain THz spectroscopy, two-dimensional images of formalin-fixed and paraffin-embedded tissue samples of the hippocampus area were recorded in the 60 GHz-2 THz band. The THz images were compared with microscopic images of the same samples after hematoxylin and eosin staining. We demonstrate that the THz reflection spectra, particularly from white matter, reveal detectable differences between postmortem brain tissues exhibiting Alzheimer's disease and normal controls. The THz reflectivity of white matter areas was on average 4.2% higher than that of gray matter regions in tissue samples with known Alzheimer's history, whereas for normal control samples the contrast was only 2%. Additional studies further enhance this hypothesis, and the demyelination of white matter in Alzheimer's tissues suggests a possible cause for the differences in the THz reflection spectra. We also compare the THz response of the tissues with conventional Luxol-fast blue staining to demonstrate the correlation between the two methods for predicting demyelination. In addition, we present a simplified electromagnetic model of white matter axons exhibiting various degrees of demyelination to further support this hypothesis through full-wave electromagnetic simulations. This study offers, for the first time, proof of concept for the feasibility of detecting Alzheimer's disease using THz spectroscopy on ex vivo samples. © 2017 IEEE. -
dc.language English -
dc.publisher IEEE Microwave Theory and Techniques Society -
dc.title Terahertz Imaging and Electromagnetic Model of Axon Demyelination in Alzheimer's Disease -
dc.type Article -
dc.identifier.doi 10.1109/TTHZ.2017.2739481 -
dc.identifier.wosid 000415151300011 -
dc.identifier.scopusid 2-s2.0-85028719697 -
dc.identifier.bibliographicCitation IEEE Transactions on Terahertz Science and Technology, v.7, no.6, pp.711 - 721 -
dc.description.isOpenAccess FALSE -
dc.subject.keywordAuthor Alzheimer' -
dc.subject.keywordAuthor s disease (AD) -
dc.subject.keywordAuthor amyloid beta (Aβ -
dc.subject.keywordAuthor ) protein -
dc.subject.keywordAuthor biomedical imaging -
dc.subject.keywordAuthor brain plaques and tangles -
dc.subject.keywordAuthor demyelination -
dc.subject.keywordAuthor terahertz (THz) imaging -
dc.subject.keywordAuthor THz time-domain spectroscopy (TDS) -
dc.subject.keywordPlus SPECTROSCOPY -
dc.subject.keywordPlus ASSOCIATION -
dc.subject.keywordPlus DEPOSITION -
dc.subject.keywordPlus TISSUE -
dc.subject.keywordPlus CA1 -
dc.citation.endPage 721 -
dc.citation.number 6 -
dc.citation.startPage 711 -
dc.citation.title IEEE Transactions on Terahertz Science and Technology -
dc.citation.volume 7 -
dc.description.journalRegisteredClass scie -
dc.description.journalRegisteredClass scopus -
dc.relation.journalResearchArea Engineering; Optics; Physics -
dc.relation.journalWebOfScienceCategory Engineering, Electrical & Electronic; Optics; Physics, Applied -
dc.type.docType Article -
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