Ke PF - Search Results

1

Divergent Alterations of Structural-Functional Connectivity Couplings in First-episode and Chronic Schizophrenia Patients.

Kong LY, Huang YY, Lei BY, Ke PF, Li HH, Zhou J, Xiong DS, Li GX, Chen J, Li XB, Xiang ZM, Ning YP, Wu FC, Wu K. Kong LY, et al. Among authors: ke pf. Neuroscience. 2021 Apr 15;460:1-12. doi: 10.1016/j.neuroscience.2021.02.008. Epub 2021 Feb 13. Neuroscience. 2021. PMID: 33588002

2

NEURO-LEARN: a Solution for Collaborative Pattern Analysis of Neuroimaging Data.

Lei B, Wu F, Zhou J, Xiong D, Wang K, Kong L, Ke P, Chen J, Ning Y, Li X, Xiang Z, Wu K. Lei B, et al. Neuroinformatics. 2021 Jan;19(1):79-91. doi: 10.1007/s12021-020-09468-6. Neuroinformatics. 2021. PMID: 32524429

3

The gut microbiome is associated with brain structure and function in schizophrenia.

Li S, Song J, Ke P, Kong L, Lei B, Zhou J, Huang Y, Li H, Li G, Chen J, Li X, Xiang Z, Ning Y, Wu F, Wu K. Li S, et al. Sci Rep. 2021 May 7;11(1):9743. doi: 10.1038/s41598-021-89166-8. Sci Rep. 2021. PMID: 33963227 Free PMC article. Clinical Trial.

4

An integrated machine learning framework for a discriminative analysis of schizophrenia using multi-biological data.

Ke PF, Xiong DS, Li JH, Pan ZL, Zhou J, Li SJ, Song J, Chen XY, Li GX, Chen J, Li XB, Ning YP, Wu FC, Wu K. Ke PF, et al. Sci Rep. 2021 Jul 19;11(1):14636. doi: 10.1038/s41598-021-94007-9. Sci Rep. 2021. PMID: 34282208 Free PMC article.

5

Effects of Brain Atlases and Machine Learning Methods on the Discrimination of Schizophrenia Patients: A Multimodal MRI Study.

Zang J, Huang Y, Kong L, Lei B, Ke P, Li H, Zhou J, Xiong D, Li G, Chen J, Li X, Xiang Z, Ning Y, Wu F, Wu K. Zang J, et al. Front Neurosci. 2021 Jul 27;15:697168. doi: 10.3389/fnins.2021.697168. eCollection 2021. Front Neurosci. 2021. PMID: 34385901 Free PMC article.

6

Author Correction: The gut microbiome is associated with brain structure and function in schizophrenia.

Li S, Song J, Ke P, Kong L, Lei B, Zhou J, Huang Y, Li H, Li G, Chen J, Li X, Xiang Z, Ning Y, Wu F, Wu K. Li S, et al. Sci Rep. 2021 Aug 30;11(1):17643. doi: 10.1038/s41598-021-96985-2. Sci Rep. 2021. PMID: 34462524 Free PMC article. No abstract available.

7

Discriminative Analysis of Schizophrenia Patients Using Topological Properties of Structural and Functional Brain Networks: A Multimodal Magnetic Resonance Imaging Study.

Wang J, Ke P, Zang J, Wu F, Wu K. Wang J, et al. Front Neurosci. 2022 Jan 11;15:785595. doi: 10.3389/fnins.2021.785595. eCollection 2021. Front Neurosci. 2022. PMID: 35087373 Free PMC article.

8

Multimodal Magnetic Resonance Imaging Reveals Aberrant Brain Age Trajectory During Youth in Schizophrenia Patients.

Huang J, Ke P, Chen X, Li S, Zhou J, Xiong D, Huang Y, Li H, Ning Y, Duan X, Li X, Zhang W, Wu F, Wu K. Huang J, et al. Front Aging Neurosci. 2022 Mar 3;14:823502. doi: 10.3389/fnagi.2022.823502. eCollection 2022. Front Aging Neurosci. 2022. PMID: 35309897 Free PMC article.

9

Discriminative analysis of schizophrenia patients using graph convolutional networks: A combined multimodal MRI and connectomics analysis.

Chen X, Ke P, Huang Y, Zhou J, Li H, Peng R, Huang J, Liang L, Ma G, Li X, Ning Y, Wu F, Wu K. Chen X, et al. Front Neurosci. 2023 Mar 30;17:1140801. doi: 10.3389/fnins.2023.1140801. eCollection 2023. Front Neurosci. 2023. PMID: 37090813 Free PMC article.

10

Corrigendum: Discriminative analysis of schizophrenia patients using graph convolutional networks: a combined multimodal MRI and connectomics analysis.

Chen X, Ke P, Huang Y, Zhou J, Li H, Peng R, Huang J, Liang L, Ma G, Li X, Ning Y, Wu F, Wu K. Chen X, et al. Front Neurosci. 2023 Jun 6;17:1228322. doi: 10.3389/fnins.2023.1228322. eCollection 2023. Front Neurosci. 2023. PMID: 37346088 Free PMC article.

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