Separating symptomatic Alzheimer’s disease from depression based on structural MRI
Older patients with depression or Alzheimer’s disease (AD) at the stage of early dementia or mild cognitive impairment may present with objective cognitive impairment, although the pathology and thus therapy and prognosis differ substantially. In this study, we assessed the potential of an automated...
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| Hauptverfasser: | , , , |
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| Dokumenttyp: | Article (Journal) |
| Sprache: | Englisch |
| Veröffentlicht: |
10 April 2018
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| In: |
Journal of Alzheimer's disease
Year: 2018, Jahrgang: 63, Heft: 1, Pages: 353-363 |
| ISSN: | 1875-8908 |
| DOI: | 10.3233/JAD-170964 |
| Online-Zugang: | Resolving-System, Volltext: https://doi.org/10.3233/JAD-170964 Verlag: https://content.iospress.com/articles/journal-of-alzheimers-disease/jad170964 
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| Verfasserangaben: | Stefan Klöppel, Maria Kotschi, Jessica Peter, Karl Egger, Lucrezia Hausner, Lutz Frölich, Alex Förster, Bernhard Heimbach, Claus Normann, Werner Vach, Horst Urbach and Ahmed Abdulkadir for the Alzheimer’s Disease Neuroimaging Initiative |
| Zusammenfassung: | Older patients with depression or Alzheimer’s disease (AD) at the stage of early dementia or mild cognitive impairment may present with objective cognitive impairment, although the pathology and thus therapy and prognosis differ substantially. In this study, we assessed the potential of an automated algorithm to categorize a test set of 65 T1-weighted structural magnetic resonance images (MRI). |
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| Beschreibung: | Gesehen am 11.11.2019 |
| Beschreibung: | Online Resource |
| ISSN: | 1875-8908 |
| DOI: | 10.3233/JAD-170964 |