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| Verfasst von: | Griebe, Martin [VerfasserIn]  |
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| | Daffertshofer, Michael [VerfasserIn] |
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| | Stroick, Mark Gregor [VerfasserIn] |
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| | Syren, Magdalena [VerfasserIn] |
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| | Ahmad-Nejad, Parviz [VerfasserIn] |
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| | Neumaier, Michael [VerfasserIn] |
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| | Backhaus, Jürgen [VerfasserIn] |
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| | Hennerici, Michael G. [VerfasserIn] |
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| | Fatar, Marc [VerfasserIn] |
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| Titel: | Infrared spectroscopy |
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| Titelzusatz: | a new diagnostic tool in Alzheimer disease |
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| Verf.angabe: | Martin Griebe, Michael Daffertshofer, Mark Stroick, Magdalena Syren, Parviz Ahmad-Nejad, Michael Neumaier, Juergen Backhaus, Michael G. Hennerici, Marc Fatar |
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| E-Jahr: | 2007 |
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| Jahr: | 4 May 2007 |
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| Umfang: | 5 S. |
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| Fussnoten: | Gesehen am 02.05.2022 |
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| Titel Quelle: | Enthalten in: Neuroscience letters |
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| Ort Quelle: | Amsterdam [u.a.] : Elsevier Science, 1975 |
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| Jahr Quelle: | 2007 |
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| Band/Heft Quelle: | 420(2007), 1, Seite 29-33 |
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| ISSN Quelle: | 1872-7972 |
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| Abstract: | Biological markers play an evolving role in the diagnosis of Alzheimer disease (AD). We compare conventional measurements of cerebrospinal fluid (CSF) tau and beta-amyloid(1-42) proteins to a novel approach - Fourier transformed infrared (FT-IR) spectroscopy - a simple technique derived from chemical and physical sciences that characterizes intramolecular bonds. For automatic diagnostic analysis, we developed an artificial neural network (ANN). We examined 71 patients with a clinical diagnosis of AD and 66 controls. beta-Amyloid(1-42) was decreased (sensitivity 80% and specificity 78%); tau was elevated (sensitivity 76% and specificity 88%) in CSF of AD patients. The combined tau/beta-amyloid(1-42) quotient was able to distinguish healthy from diseased subjects with 99% sensitivity and 86% specificity. The ANN could separate FT-IR spectroscopy data with 88.5% sensitivity and 80% specificity. FT-IR spectroscopy proved to be cost-effective and simple to perform. Diagnostic sensitivity and specificity is in the range of CSF tau and beta-amyloid(1-42) protein analysis. Larger sample numbers for ANN training and validation could increase diagnostic accuracy and thus prove to be a useful screening tool. |
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| DOI: | doi:10.1016/j.neulet.2007.03.075 |
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| URL: | Bitte beachten Sie: Dies ist ein Bibliographieeintrag. Ein Volltextzugriff für Mitglieder der Universität besteht hier nur, falls für die entsprechende Zeitschrift/den entsprechenden Sammelband ein Abonnement besteht oder es sich um einen OpenAccess-Titel handelt.
Volltext: https://doi.org/10.1016/j.neulet.2007.03.075 |
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| | DOI: https://doi.org/10.1016/j.neulet.2007.03.075 |
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| Datenträger: | Online-Ressource |
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| Sprache: | eng |
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| Sach-SW: | Adolescent |
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| | Adult |
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| | Aged |
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| | Aged, 80 and over |
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| | Alzheimer Disease |
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| | Amyloid beta-Peptides |
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| | Analysis of Variance |
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| | Biomarkers |
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| | Female |
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| | Humans |
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| | Male |
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| | Middle Aged |
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| | Neural Networks, Computer |
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| | Neuropsychological Tests |
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| | Peptide Fragments |
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| | Spectrophotometry, Infrared |
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| | Spectroscopy, Fourier Transform Infrared |
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| | tau Proteins |
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| | Young Adult |
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| K10plus-PPN: | 1800631081 |
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| Verknüpfungen: | → Zeitschrift |
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Infrared spectroscopy / Griebe, Martin [VerfasserIn]; 4 May 2007 (Online-Ressource)
