Li W - Search Results

1

Topological properties analysis and identification of mild cognitive impairment based on individual morphological brain network connectome.

Xu X, Chen P, Li W, Xiang Y, Xie Z, Yu Q, Tang Y, Wang P. Xu X, et al. Among authors: li w. Cereb Cortex. 2024 Jan 14;34(1):bhad450. doi: 10.1093/cercor/bhad450. Cereb Cortex. 2024. PMID: 38012122

2

Feature Selection and Combination of Information in the Functional Brain Connectome for Discrimination of Mild Cognitive Impairment and Analyses of Altered Brain Patterns.

Xu X, Li W, Mei J, Tao M, Wang X, Zhao Q, Liang X, Wu W, Ding D, Wang P. Xu X, et al. Among authors: li w. Front Aging Neurosci. 2020 Feb 19;12:28. doi: 10.3389/fnagi.2020.00028. eCollection 2020. Front Aging Neurosci. 2020. PMID: 32140102 Free PMC article.

3

Gao X, Xu X, Hua X, Wang P, Li W, Li R. Gao X, et al. Among authors: li w, li r. Front Neurosci. 2020 Mar 10;14:165. doi: 10.3389/fnins.2020.00165. eCollection 2020. Front Neurosci. 2020. PMID: 32210747 Free PMC article.

4

Functional connectivity network estimation with an inter-similarity prior for mild cognitive impairment classification.

Li W, Xu X, Jiang W, Wang P, Gao X. Li W, et al. Aging (Albany NY). 2020 Sep 13;12(17):17328-17342. doi: 10.18632/aging.103719. Epub 2020 Sep 13. Aging (Albany NY). 2020. PMID: 32921634 Free PMC article.

5

Effective and Accurate Diagnosis of Subjective Cognitive Decline Based on Functional Connection and Graph Theory View.

Xu X, Li W, Tao M, Xie Z, Gao X, Yue L, Wang P. Xu X, et al. Among authors: li w. Front Neurosci. 2020 Sep 29;14:577887. doi: 10.3389/fnins.2020.577887. eCollection 2020. Front Neurosci. 2020. PMID: 33132832 Free PMC article.

6

Morphological, Structural, and Functional Networks Highlight the Role of the Cortical-Subcortical Circuit in Individuals With Subjective Cognitive Decline.

Xu X, Wang T, Li W, Li H, Xu B, Zhang M, Yue L, Wang P, Xiao S. Xu X, et al. Among authors: li w, li h. Front Aging Neurosci. 2021 Jul 9;13:688113. doi: 10.3389/fnagi.2021.688113. eCollection 2021. Front Aging Neurosci. 2021. PMID: 34305568 Free PMC article.

7

Multiple Connection Pattern Combination From Single-Mode Data for Mild Cognitive Impairment Identification.

Li W, Xu X, Wang Z, Peng L, Wang P, Gao X. Li W, et al. Front Cell Dev Biol. 2021 Nov 22;9:782727. doi: 10.3389/fcell.2021.782727. eCollection 2021. Front Cell Dev Biol. 2021. PMID: 34881247 Free PMC article.

8

Human-Guided Functional Connectivity Network Estimation for Chronic Tinnitus Identification: A Modularity View.

Li WK, Chen YC, Xu XW, Wang X, Gao X. Li WK, et al. IEEE J Biomed Health Inform. 2022 Oct;26(10):4849-4858. doi: 10.1109/JBHI.2022.3190277. Epub 2022 Oct 4. IEEE J Biomed Health Inform. 2022. PMID: 35830394

9

The reconfiguration pattern of individual brain metabolic connectome for Parkinson's disease identification.

Li W, Tang Y, Peng L, Wang Z, Hu S, Gao X. Li W, et al. MedComm (2020). 2023 Jun 27;4(4):e305. doi: 10.1002/mco2.305. eCollection 2023 Aug. MedComm (2020). 2023. PMID: 37388240 Free PMC article.

10

Wavelet transform-based frequency self-adaptive model for functional brain network.

Ding Y, Xu X, Peng L, Zhang L, Li W, Cao W, Gao X. Ding Y, et al. Among authors: li w. Cereb Cortex. 2023 Nov 4;33(22):11181-11194. doi: 10.1093/cercor/bhad357. Cereb Cortex. 2023. PMID: 37759345

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