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Omurtag, A 
ORCID: https://orcid.org/0000-0002-3773-8506, Sunderland, C ORCID: https://orcid.org/0000-0001-7484-1345, Mansfield, NJ ORCID: https://orcid.org/0000-0001-6769-1721 and Zakeri, Z ORCID: https://orcid.org/0000-0003-2588-8360,
2025.
EEG connectivity and BDNF correlates of fast motor learning in laparoscopic surgery.
Scientific Reports, 15: 7399.
ISSN 2045-2322
Abstract
This paper investigates the neural mechanisms underlying the early phase of motor learning in laparoscopic surgery training, using electroencephalography (EEG), brain-derived neurotrophic factor (BDNF) concentrations and subjective cognitive load recorded from n = 31 novice participants during laparoscopy training. Functional connectivity was quantified using inter-site phase clustering (ISPC) and subjective cognitive load was assessed using NASA-TLX scores. The study identified frequency-dependent connectivity patterns correlated with motor learning and BDNF expression. Gains in performance were associated with beta connectivity, particularly within prefrontal cortex and between visual and frontal areas, during task execution (r = − 0.73), and were predicted by delta connectivity during the initial rest episode (r = 0.83). The study also found correlations between connectivity and BDNF, with distinct topographic patterns emphasizing left temporal and visuo-frontal links. By highlighting the shifts in functional connectivity during early motor learning associated with learning, and linking them to brain plasticity mediated by BDNF, the multimodal findings could inform the development of more effective training methods and tailored interventions involving practice and feedback.
| Item Type: | Journal article |
|---|---|
| Publication Title: | Scientific Reports |
| Creators: | Omurtag, A., Sunderland, C., Mansfield, N.J. and Zakeri, Z. |
| Publisher: | Springer |
| Date: | 3 March 2025 |
| Volume: | 15 |
| ISSN: | 2045-2322 |
| Identifiers: | Number Type 10.1038/s41598-025-89261-0 DOI 2393762 Other |
| Rights: | This article is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License, which permits any non-commercial use, sharing, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if you modified the licensed material. You do not have permission under this licence to share adapted material derived from this article or parts of it. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by-nc-nd/4.0/. |
| Divisions: | Schools > School of Science and Technology |
| Record created by: | Jonathan Gallacher |
| Date Added: | 10 Mar 2025 13:42 |
| Last Modified: | 10 Mar 2025 13:42 |
| URI: | https://irep.ntu.ac.uk/id/eprint/53223 |
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