Detecting Neuroimaging Biomarkers for Schizophrenia: A Meta-Analysis of Multivariate Pattern Recognition Studies-Reference-Cited by-同舟云学术

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Detecting Neuroimaging Biomarkers for Schizophrenia: A Meta-Analysis of Multivariate Pattern Recognition Studies

Published:2015-01-20 Issue:7 Volume:40 Page:1742-1751
ISSN:0893-133X
Container-title:Neuropsychopharmacology
language:en
Short-container-title:Neuropsychopharmacol

Author:

Kambeitz Joseph,Kambeitz-Ilankovic Lana,Leucht Stefan,Wood Stephen,Davatzikos Christos,Malchow Berend,Falkai Peter,Koutsouleris Nikolaos

Publisher

Springer Science and Business Media LLC

Subject

Psychiatry and Mental health,Pharmacology

Link

http://www.nature.com/articles/npp201522.pdf

Reference58 articles.

1. Anderson A, Dinov ID, Sherin JE, Quintana J, Yuille AL, Cohen MS (2010). Classification of spatially unaligned fMRI scans. NeuroImage 49: 2509–2519.

2. Bansal R, Staib LH, Laine AF, Hao X, Xu D, Liu J et al (2012). Anatomical brain images alone can accurately diagnose chronic neuropsychiatric illnesses. PloS One 7: e50698.

3. Borgwardt S, Fusar-Poli P (2012). Third-generation neuroimaging in early schizophrenia: translating research evidence into clinical utility. Br J Psychiatry 200: 270–272.

4. Borgwardt S, Radua J, Mechelli A, Fusar-Poli P (2012). Why are psychiatric imaging methods clinically unreliable? Conclusions and practical guidelines for authors, editors and reviewers. Behav Brain Funct BBF 8: 46.

5. Bose SK, Turkheimer FE, Howes OD, Mehta MA, Cunliffe R, Stokes PR et al (2008). Classification of schizophrenic patients and healthy controls using [18 F] fluorodopa PET imaging. Schizophr Res 106: 148–155.

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