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DC Field | Value | Language |
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dc.contributor.author | Lu, Y | - |
dc.contributor.author | Rodriguez-Larios, J | - |
dc.date.accessioned | 2023-11-07T14:20:52Z | - |
dc.date.available | 2022 | - |
dc.date.available | 2023-11-07T14:20:52Z | - |
dc.date.issued | 2022-09-23 | - |
dc.identifier | ORCiD ID: Julio Rodriguez Larios https://orcid.org/0000-0002-4014-2973; Yiqing Lu https://orcid.org/0000-0003-3229-419X | - |
dc.identifier.citation | Lu, Y., & Rodriguez-Larios, J. (2022). 'Nonlinear EEG signatures of mind wandering during breath focus meditation' in Current Research in Neurobiology. Vol. 3., pp. 1 - 9. DOI: 10.1016/j.crneur.2022.100056. | en_US |
dc.identifier.uri | http://bura.brunel.ac.uk/handle/2438/27570 | - |
dc.description.abstract | In meditation practices that involve focused attention to a specific object, novice practitioners often experience moments of distraction (i.e., mind wandering). Previous studies have investigated the neural correlates of mind wandering during meditation practice through Electroencephalography (EEG) using linear metrics (e.g., oscil latory power). However, their results are not fully consistent. Since the brain is known to be a chaotic/nonlinear system, it is possible that linear metrics cannot fully capture complex dynamics present in the EEG signal. In this study, we assess whether nonlinear EEG signatures can be used to characterize mind wandering during breath focus meditation in novice practitioners. For that purpose, we adopted an experience sampling paradigm in which 25 participants were iteratively interrupted during meditation practice to report whether they were focusing on the breath or thinking about something else. We compared the complexity of EEG signals during mind wandering and breath focus states using three different algorithms: Higuchi’s fractal dimension (HFD), Lempel-Ziv complexity (LZC), and Sample entropy (SampEn). Our results showed that EEG complexity was generally reduced during mind wandering relative to breath focus states. We conclude that EEG complexity metrics are appropriate to disentangle mind wandering from breath focus states in novice meditation practi tioners, and therefore, they could be used in future EEG neurofeedback protocols to facilitate meditation practice. | en_US |
dc.format.extent | 100056 - 100056 | - |
dc.language | en | - |
dc.publisher | Elsevier BV | en_US |
dc.rights | © 2022 The Authors. This is an open access article under the Creative Commons CC-BY-NC-ND license and permits non-commercial use of the work as published, without adaptation or alteration provided the work is fully attributed. | - |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | - |
dc.subject | EEG | en_US |
dc.subject | Mind wandering | en_US |
dc.subject | Meditation | en_US |
dc.subject | Complexity | en_US |
dc.subject | Nonlinear analysis | en_US |
dc.title | Nonlinear EEG signatures of mind wandering during breath focus meditation | en_US |
dc.type | Article | en_US |
dc.identifier.doi | http://dx.doi.org/10.1016/j.crneur.2022.100056 | - |
dc.relation.isPartOf | Current Research in Neurobiology | - |
pubs.publication-status | Published | - |
pubs.volume | 3 | - |
Appears in Collections: | Dept of Life Sciences Research Papers |
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FullText.pdf | © 2022 The Authors. This is an open access article under the Creative Commons CC-BY-NC-ND license and permits non-commercial use of the work as published, without adaptation or alteration provided the work is fully attributed. | 3.29 MB | Adobe PDF | View/Open |
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