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Individual prediction of cognitive decline in mild cognitive impairment using support vector machine-based analysis of diffusion tensor imaging data

Although cross-sectional diffusion tensor imaging (DTI) studies revealed significant white matter changes in mild cognitive impairment (MCI), the utility of this technique in predicting further cognitive decline is debated. Thirty-five healthy contro

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Bibliographic Details
Main Authors: Haller, Sven (Author) , Nguyen, Duy (Author) , Rodriguez, Cristelle (Author) , Emch, Joan (Author) , Gold, Gabriel (Author) , Bartsch, Andreas J. (Author) , Lovblad, Karl O. (Author) , Giannakopoulos, Panteleimon (Author)
Format: Article (Journal)
Language:English
Published: 28 September 2010
In: Journal of Alzheimer's disease
Year: 2010, Volume: 22, Issue: 1, Pages: 315-327
ISSN:1875-8908
DOI:10.3233/JAD-2010-100840
Online Access:Verlag, lizenzpflichtig, Volltext: https://doi.org/10.3233/JAD-2010-100840
Verlag, lizenzpflichtig, Volltext: https://content.iospress.com/articles/journal-of-alzheimers-disease/jad100840
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Author Notes:Sven Haller, Duy Nguyen, Cristelle Rodriguez, Joan Emch, Gabriel Gold, Andreas Bartsch, Karl O. Lovblad, Panteleimon Giannakopoulos
Description
Summary:Although cross-sectional diffusion tensor imaging (DTI) studies revealed significant white matter changes in mild cognitive impairment (MCI), the utility of this technique in predicting further cognitive decline is debated. Thirty-five healthy contro
Item Description:Gesehen am 03.03.2023
Physical Description:Online Resource
ISSN:1875-8908
DOI:10.3233/JAD-2010-100840

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