Hierarchical Structured Sparse Learning for Schizophrenia Identification-Reference-Cited by-同舟云学术

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Hierarchical Structured Sparse Learning for Schizophrenia Identification

Published:2019-04-23 Issue:1 Volume:18 Page:43-57
ISSN:1539-2791
Container-title:Neuroinformatics
language:en
Short-container-title:Neuroinform

Author:

Wang Mingliang^ORCID,Hao Xiaoke,Huang Jiashuang,Wang Kangcheng,Shen Li,Xu Xijia,Zhang Daoqiang,Liu Mingxia

Funder

National Natural Science Foundation of China

Royal Society-Academy of Medical Sciences Newton Advanced Fellowship

Taishan Scholar Program of Shandong Province

Scientic Research Foundation of Taishan University

Fundamental Research Funds for the Central Universities

Publisher

Springer Science and Business Media LLC

Subject

Information Systems,General Neuroscience,Software

Link

http://link.springer.com/content/pdf/10.1007/s12021-019-09423-0.pdf

Reference63 articles.

1. Arribas, J.I., Calhoun, V.D., Adalı, T. (2010). Automatic bayesian classification of healthy controls, bipolar disorder and schizophrenia using intrinsic connectivity maps from fMRI data. IEEE Transactions on Biomedical Engineering, 57(12), 2850–2860.

2. Bassett, D.S., Nelson, B.G., Mueller, B.A., Camchong, J., Lim, K.O. (2012). Altered resting state complexity in schizophrenia. NeuroImage, 59(3), 2196–2207.

3. Besga, A., Termenon, M., Graña, M., Echeveste, J., Pérez, J.M., Gonzalezpinto, A. (2012). Discovering Alzheimer’s disease and bipolar disorder white matter effects building computer aided diagnostic systems on brain diffusion tensor imaging features. Neuroscience Letters, 520(1), 71–76.

4. Bhugra, D. (2005). The global prevalence of schizophrenia. Plos Medicine, 2(5), 372–373.

5. Biswal, B., Zerrin Yetkin, F., Haughton, V.M., Hyde, J.S. (1995). Functional connectivity in the motor cortex of resting human brain using echo-planar MRI. Magnetic Resonance in Medicine, 34(4), 537–541.

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