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rdf:type |
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lifeskim:mentions |
umls-concept:C0002395,
umls-concept:C0008902,
umls-concept:C0011923,
umls-concept:C0205245,
umls-concept:C0205307,
umls-concept:C0449438,
umls-concept:C0868995,
umls-concept:C1516691,
umls-concept:C1527178,
umls-concept:C1705938,
umls-concept:C1861733,
umls-concept:C2674356,
umls-concept:C2750816
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pubmed:issue |
1
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pubmed:dateCreated |
2011-3-25
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pubmed:abstractText |
To use large-scale network (LSN) analysis to classify subjects with Alzheimer disease (AD), those with amnestic mild cognitive impairment (aMCI), and cognitively normal (CN) subjects.
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pubmed:grant |
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pubmed:commentsCorrections |
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pubmed:language |
eng
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pubmed:journal |
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pubmed:citationSubset |
AIM
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pubmed:status |
MEDLINE
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pubmed:month |
Apr
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pubmed:issn |
1527-1315
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pubmed:author |
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pubmed:copyrightInfo |
© RSNA, 2011.
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pubmed:issnType |
Electronic
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pubmed:volume |
259
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pubmed:owner |
NLM
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pubmed:authorsComplete |
Y
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pubmed:pagination |
213-21
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pubmed:meshHeading |
pubmed-meshheading:21248238-Aged,
pubmed-meshheading:21248238-Algorithms,
pubmed-meshheading:21248238-Alzheimer Disease,
pubmed-meshheading:21248238-Brain Mapping,
pubmed-meshheading:21248238-Cognition Disorders,
pubmed-meshheading:21248238-Female,
pubmed-meshheading:21248238-Humans,
pubmed-meshheading:21248238-Image Enhancement,
pubmed-meshheading:21248238-Image Interpretation, Computer-Assisted,
pubmed-meshheading:21248238-Magnetic Resonance Imaging,
pubmed-meshheading:21248238-Male,
pubmed-meshheading:21248238-Neural Networks (Computer),
pubmed-meshheading:21248238-Reproducibility of Results,
pubmed-meshheading:21248238-Rest,
pubmed-meshheading:21248238-Sensitivity and Specificity
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pubmed:year |
2011
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pubmed:articleTitle |
Classification of Alzheimer disease, mild cognitive impairment, and normal cognitive status with large-scale network analysis based on resting-state functional MR imaging.
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pubmed:affiliation |
Department of Biophysics, Medical College of Wisconsin, 8701 Watertown Plank Rd, Milwaukee, WI 53226, USA.
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pubmed:publicationType |
Journal Article,
Research Support, N.I.H., Extramural
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