Topological Properties of Resting-State fMRI Functional Networks Improve Machine Learning-Based Autism Classification.

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作者： Amirali,Kazeminejad ^[1] ; Roberto C,Sotero ^[2]

作者单位： Hotchkiss Brain Institute, University of Calgary, Calgary, AB, Canada. ^[1] Biomedical Engineering Graduate Program, University of Calgary, Calgary, AB, Canada. ^[2] Department of Radiology, University of Calgary, Calgary, AB, Canada. ^[3]

关键词 ABIDE SVM–support vector machine brain connectitvity fMRI graph theoiy machine learing

DOI 10.3389/fnins.2018.01018

PMID 30686984

发布时间 2020-09-30

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Frontiers in neuroscience

2018年12卷

1018页

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Topological Properties of Resting-State fMRI Functional Networks Improve Machine Learning-Based Autism Classification.

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Topological Properties of Resting-State fMRI Functional Networks Improve Machine Learning-Based Autism Classification.

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