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Effects of neurofeedback and working memory-combined training on executive functions in healthy young adults.

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Title: Effects of neurofeedback and working memory-combined training on executive functions in healthy young adults.
Authors: Gordon, Shirley (AUTHOR), Todder, Doron (AUTHOR), Deutsch, Inbal (AUTHOR), Garbi, Dror (AUTHOR), Alkobi, Oren (AUTHOR), Shriki, Oren (AUTHOR), Shkedy-Rabani, Anat (AUTHOR), Shahar, Nitzan (AUTHOR), Meiran, Nachshon (AUTHOR)
Source: Psychological Research. Sep2020, Vol. 84 Issue 6, p1586-1609. 24p. 5 Charts, 12 Graphs.
Subjects: Young adults, Mnemonics, Visual perception, Mental rotation, Short-term memory
Abstract: Given the interest in improving executive functions, the present study examines a promising combination of two training techniques: neurofeedback training (NFT) and working memory training (WMT). NFT targeted increasing the amplitude of individual's upper Alpha frequency band at the parietal midline scalp location (Pz), and WMT consisted of an established computerized protocol with working memory updating and set-shifting components. Healthy participants (n = 140) were randomly allocated to five combinations of training, including visual search training used as an active control training for the WMT; all five groups were compared to a sixth silent control group receiving no training. All groups were evaluated before and after training for resting-state electroencephalogram (EEG) and behavioral executive function measures. The participants in the silent control group were unaware of this procedure, and received one of the training protocols only after study has ended. Results demonstrated significant improvement in the practice tasks in all training groups including non-specific influence of NFT on resting-state EEG spectral topography. There was only a near transfer effect (improvement in working memory task) for WMT, which remained significant in the delayed post-test (after 1 month), in comparison to silent control group but not in comparison to active control training group. The NFT + WMT combined group showed improved mental rotation ability both in the post-training and in the follow-up evaluations. This improvement, however, did not differ significantly from that in the silent control group. We conclude that the current training protocols, including their combination, have very limited influence on the executive functions that were assessed in this study. [ABSTRACT FROM AUTHOR]
Copyright of Psychological Research is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Psychology and Behavioral Sciences Collection
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  Data: Effects of neurofeedback and working memory-combined training on executive functions in healthy young adults.
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  Data: <searchLink fieldCode="JN" term="%22Psychological+Research%22">Psychological Research</searchLink>. Sep2020, Vol. 84 Issue 6, p1586-1609. 24p. 5 Charts, 12 Graphs.
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  Data: <searchLink fieldCode="DE" term="%22Young+adults%22">Young adults</searchLink><br /><searchLink fieldCode="DE" term="%22Mnemonics%22">Mnemonics</searchLink><br /><searchLink fieldCode="DE" term="%22Visual+perception%22">Visual perception</searchLink><br /><searchLink fieldCode="DE" term="%22Mental+rotation%22">Mental rotation</searchLink><br /><searchLink fieldCode="DE" term="%22Short-term+memory%22">Short-term memory</searchLink>
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  Data: Given the interest in improving executive functions, the present study examines a promising combination of two training techniques: neurofeedback training (NFT) and working memory training (WMT). NFT targeted increasing the amplitude of individual's upper Alpha frequency band at the parietal midline scalp location (Pz), and WMT consisted of an established computerized protocol with working memory updating and set-shifting components. Healthy participants (n = 140) were randomly allocated to five combinations of training, including visual search training used as an active control training for the WMT; all five groups were compared to a sixth silent control group receiving no training. All groups were evaluated before and after training for resting-state electroencephalogram (EEG) and behavioral executive function measures. The participants in the silent control group were unaware of this procedure, and received one of the training protocols only after study has ended. Results demonstrated significant improvement in the practice tasks in all training groups including non-specific influence of NFT on resting-state EEG spectral topography. There was only a near transfer effect (improvement in working memory task) for WMT, which remained significant in the delayed post-test (after 1 month), in comparison to silent control group but not in comparison to active control training group. The NFT + WMT combined group showed improved mental rotation ability both in the post-training and in the follow-up evaluations. This improvement, however, did not differ significantly from that in the silent control group. We conclude that the current training protocols, including their combination, have very limited influence on the executive functions that were assessed in this study. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of Psychological Research is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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