Wens V - Search Results

1

Multichannel Time-Frequency Complexity Measures for the Analysis of Age-Related Changes in Neuromagnetic Resting-State Activity.

Colominas MA, Wens V, Mary A, Coquelet N, Jomaa MESH, Jrad N, Humeau-Heurtier A, Van Bogaert P. Colominas MA, et al. Among authors: wens v. IEEE J Biomed Health Inform. 2019 Nov;23(6):2428-2434. doi: 10.1109/JBHI.2019.2892823. Epub 2019 Jan 14. IEEE J Biomed Health Inform. 2019. PMID: 30640638

2

Inter- and intra-subject variability of neuromagnetic resting state networks.

Wens V, Bourguignon M, Goldman S, Marty B, Op de Beeck M, Clumeck C, Mary A, Peigneux P, Van Bogaert P, Brookes MJ, De Tiège X. Wens V, et al. Brain Topogr. 2014 Sep;27(5):620-34. doi: 10.1007/s10548-014-0364-8. Epub 2014 Apr 29. Brain Topogr. 2014. PMID: 24777562

3

Resting state fast brain dynamics predict interindividual variability in motor performance.

Roshchupkina L, Wens V, Coquelet N, de Tiege X, Peigneux P. Roshchupkina L, et al. Among authors: wens v. Sci Rep. 2022 Mar 29;12(1):5340. doi: 10.1038/s41598-022-08767-z. Sci Rep. 2022. PMID: 35351907 Free PMC article.

4

The electrophysiological connectome is maintained in healthy elders: a power envelope correlation MEG study.

Coquelet N, Mary A, Peigneux P, Goldman S, Wens V, De Tiège X. Coquelet N, et al. Among authors: wens v. Sci Rep. 2017 Oct 25;7(1):13984. doi: 10.1038/s41598-017-13829-8. Sci Rep. 2017. PMID: 29070789 Free PMC article.

5

Mary A, Wens V, Op de Beeck M, Leproult R, De Tiège X, Peigneux P. Mary A, et al. Among authors: wens v. Hum Brain Mapp. 2017 Feb;38(2):923-937. doi: 10.1002/hbm.23428. Epub 2016 Oct 11. Hum Brain Mapp. 2017. PMID: 27726263 Free PMC article.

6

Resting-state Functional Connectivity is an Age-dependent Predictor of Motor Learning Abilities.

Mary A, Wens V, Op de Beeck M, Leproult R, De Tiège X, Peigneux P. Mary A, et al. Among authors: wens v. Cereb Cortex. 2017 Oct 1;27(10):4923-4932. doi: 10.1093/cercor/bhw286. Cereb Cortex. 2017. PMID: 27655931

7

Resting-state functional brain connectivity is related to subsequent procedural learning skills in school-aged children.

Van Dyck D, Deconinck N, Aeby A, Baijot S, Coquelet N, Trotta N, Rovai A, Goldman S, Urbain C, Wens V, De Tiège X. Van Dyck D, et al. Among authors: wens v. Neuroimage. 2021 Oct 15;240:118368. doi: 10.1016/j.neuroimage.2021.118368. Epub 2021 Jul 6. Neuroimage. 2021. PMID: 34242786 Free article.

8

Changes in electrophysiological static and dynamic human brain functional architecture from childhood to late adulthood.

Coquelet N, Wens V, Mary A, Niesen M, Puttaert D, Ranzini M, Vander Ghinst M, Bourguignon M, Peigneux P, Goldman S, Woolrich M, De Tiège X. Coquelet N, et al. Among authors: wens v. Sci Rep. 2020 Nov 4;10(1):18986. doi: 10.1038/s41598-020-75858-0. Sci Rep. 2020. PMID: 33149179 Free PMC article.

9

A geometric correction scheme for spatial leakage effects in MEG/EEG seed-based functional connectivity mapping.

Wens V, Marty B, Mary A, Bourguignon M, Op de Beeck M, Goldman S, Van Bogaert P, Peigneux P, De Tiège X. Wens V, et al. Hum Brain Mapp. 2015 Nov;36(11):4604-21. doi: 10.1002/hbm.22943. Epub 2015 Sep 2. Hum Brain Mapp. 2015. PMID: 26331630 Free PMC article.

10

Synchrony, metastability, dynamic integration, and competition in the spontaneous functional connectivity of the human brain.

Wens V, Bourguignon M, Vander Ghinst M, Mary A, Marty B, Coquelet N, Naeije G, Peigneux P, Goldman S, De Tiège X. Wens V, et al. Neuroimage. 2019 Oct 1;199:313-324. doi: 10.1016/j.neuroimage.2019.05.081. Epub 2019 Jun 3. Neuroimage. 2019. PMID: 31170458

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