Effect of motor learning with different complexities on EEG spectral distribution and performance improvement

Aliakbaryhosseinabadi, Susan; Lontis, Romulus; Farina, Dario; Mrachacz-Kersting, Natalie

doi:10.1016/j.bspc.2021.102447

Cited by 11 publications

(8 citation statements)

References 45 publications

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“…Some studies have reported that gamma and beta brain activity is considerably higher during task learning, resulting in synchronization, whereas alpha brain wave levels decrease, resulting in desynchronization (Aliakbaryhosseinabadi et al, 2021; Kora et al, 2021). Complex training tasks require higher cognitive activity (Aliakbaryhosseinabadi et al, 2021) and resources. Theta brain wave oscillations are related to memory activities in the brain and the retrieval of memory data (Baceviciute et al, 2021; Pi et al, 2021).…”

Section: Discussionmentioning

confidence: 99%

Effects of virtual reality on creativity performance and perceived immersion: A study of brain waves

Wang

Weng

Tsai

et al. 2022

Brit J Educational Tech

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The purpose of this study was to explore the effects of virtual reality (VR) application on creative performance and immersion, evaluated through electroencephalography brain wave data to achieve accurate and robust results. In this study, 72 middle school teachers were recruited as participants, and a non-randomized control-group pre-test-posttest design was employed. The experimental group received VR-based design instruction, and the control group received lecture-based design training. Our results revealed that VR significantly affects immersion, especially with regard to attention. Additionally, VR had a positive effect on the feasibility of the creative process, although its effects on variety and novelty were inconclusive. VR was significantly correlated with theta, beta, and gamma brain wave activity. VR also increased attention-related and meditation-related brain wave activity and desynchronized alpha waves.

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Section: Discussionmentioning

confidence: 99%

Effects of virtual reality on creativity performance and perceived immersion: A study of brain waves

Wang

Weng

Tsai

et al. 2022

Brit J Educational Tech

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“…For instance, in [4], learning a sport has been used as a new ability. In [23], it has been shown that gamma and beta connectivity increased for the complex task as compared to the simple task, while theta connectivity decreased after training.…”

Section: Discussionmentioning

confidence: 99%

Assessment of learning a new skill using nonlinear and spectral features of EEG

Jalaly

Goshvarpour²

2022

SIViP

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The goal of this paper was to assess the impact of learning a new skill on several electroencephalographic (EEG) measurements. In addition, it intended to examine the active brain regions associated with learning. To this effect, changes in brain activity pre-and post-learning task was investigated using EEG power spectral density (PSD) and nonlinear features.The evaluated task was learning to type using the Colemak keyboard layout in a twelve-lesson training. 10 participants with a mean age of 29.3 ± 5.7 were included in the experiment. For the rst time, Fractal dimension, approximate entropy, and Lyapunov exponents were extracted from a 9-channel EEG signal to characterize brain dynamics. In addition, the PSD of various EEG rhythms was estimated. To identify statistically signi cant changes in the EEG characteristics, as well as to determine the prominent channels, the t-test was performed. Our results showed maximum EEG power in Beta and Gamma waves; however, the most differences in the power distribution belonged to the Beta band. Among non-linear features, entropy showed a signi cant difference in 70% of the EEG channels. This has mainly occurred in the F3, Fz, C3, Cz, POz, and P4 electrodes. Taken together, the results of this study pave the way to evaluate brain dynamics and actively involved areas pre-and post-learning tasks.

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“…Several studies have shown EEG power modulations in areas relevant to the performance of these tasks over frontal, motor, and visual areas. More specifically, the involvement of prefrontal areas, often implicated in aspects of executive control with activity modulated by attentional and cognitive load (Klimesch, 1999;Langer et al, 2013;Scheeringa et al, 2008) has been mainly observed in the theta (Aliakbaryhosseinabadi et al, 2021;Crivelli-Decker et al, 2018;Koch et al, 2020) frequency band and, to a lesser extent, in the alpha (Meyer et al, 2014), beta (Aliakbaryhosseinabadi et al, 2021;Jahani et al, 2020), and gamma (Aliakbaryhosseinabadi et al, 2021) bands. Others have shown the involvement of sensorimotor and motor areas in the beta (Aliakbaryhosseinabadi et al, 2021;Andres & Gerloff, 1999;Aoki et al, 2001;Boonstra et al, 2007;Cunha et al, 2006;Heinrichs-Graham et al, 2016;Jahani et al, 2020;Jerbi et al, 2004;Pollok et al, 2014;Rilk et al, 2011) and alpha (Andres & Gerloff, 1999;Jerbi et al, 2004;Meyer et al, 2014;Rilk et al, 2011;Rueda-Delgado et al, 2019;Schubert et al, 2021;Tzvi et al, 2016Tzvi et al, , 2018Zhuang et al, 1997) bands, while the implication of the theta (Koch et al, 2020;Perfetti et al, 2011;Studer et al, 2010;Tzvi et al, 2016) and gamma (Aliakbaryhosseinabadi et al, 2021;Aoki et al, 2001;…”

Section: Eegmentioning

confidence: 99%

Dynamic rewiring of electrophysiological brain networks during learning

Ruggeri

Miehlbradt

Kabbara

et al. 2023

Network Neuroscience

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Human learning is an active and complex process. However, the brain mechanisms underlying human skill learning and the effect of learning on the communication between brain regions, at different frequency bands, are still largely unknown. Here, we tracked changes in large-scale electrophysiological networks over a 6-week training period during which participants practiced a series of motor sequences during 30 home training sessions. Our findings showed that brain networks become more flexible with learning in all the frequency bands from theta to gamma ranges. We found consistent increase of flexibility in the prefrontal and limbic areas in the theta and alpha band, and over somatomotor and visual areas in the alpha band. Specific to the beta rhythm, we revealed that higher flexibility of prefrontal regions during the early stage of learning strongly correlated with better performance measured during home training sessions. Our findings provide novel evidence that prolonged motor skill practice results in higher, frequency-specific, temporal variability in brain network structure.

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Effect of motor learning with different complexities on EEG spectral distribution and performance improvement

Cited by 11 publications

References 45 publications

Effects of virtual reality on creativity performance and perceived immersion: A study of brain waves

Effects of virtual reality on creativity performance and perceived immersion: A study of brain waves

Assessment of learning a new skill using nonlinear and spectral features of EEG

Dynamic rewiring of electrophysiological brain networks during learning

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