Cognitive Training with Neurofeedback Using NIRS Improved Cognitive Functions in Young Adults: Evidence from a Randomized Controlled Trial.

NIRS cognitive improvement cognitive training dorsolateral prefrontal cortex neurofeedback

Journal

Brain sciences
ISSN: 2076-3425
Titre abrégé: Brain Sci
Pays: Switzerland
ID NLM: 101598646

Informations de publication

Date de publication:
21 Dec 2021
Historique:
received: 29 11 2021
revised: 16 12 2021
accepted: 16 12 2021
entrez: 21 1 2022
pubmed: 22 1 2022
medline: 22 1 2022
Statut: epublish

Résumé

(1) Background: A previous study has shown that cognitive training with neurofeedback (CT-NF) using down-regulation improves cognitive functions in young adults. Neurofeedback has two strategies for manipulating brain activity (down-regulation and upregulation). However, the benefit of CT-NF with the upregulation of cognitive functions is still unknown. In this study, we investigated whether the upregulation of CT-NF improves a wide range of cognitive functions compared to cognitive training alone. (2) Methods: In this double-blinded randomized control trial (RCT), 60 young adults were randomly assigned to one of three groups: CT-NF group, CT alone group, and an active control (ACT) group who played a puzzle game. Participants in the three groups used the same device (tablet PC and 2ch NIRS (near-infrared spectroscopy)) and performed the training game for 20 min every day for four weeks. We measured brain activity during training in all groups, but only CT-NFs received NF. We also measured a wide range of cognitive functions before and after the intervention period. (3) Results: The CT-NF groups showed superior beneficial effects on episodic memory, working memory, and attention compared to the CT alone and ACT groups. In addition, the CT-NF group showed an increase in brain activity during CT, which was associated with improvements in cognitive function. (4) Discussion: This study first demonstrated that the CT-NF using the upregulation strategy has beneficial effects on cognitive functions compared to the CT alone. Our results suggest that greater brain activities during CT would enhance a benefit from CT.

Identifiants

pubmed: 35053748
pii: brainsci12010005
doi: 10.3390/brainsci12010005
pmc: PMC8774006
pii:
doi:

Types de publication

Journal Article

Langues

eng

Subventions

Organisme : Japan Society for the Promotion of Science
ID : 16KT0002
Organisme : Japan Society for the Promotion of Science
ID : 15H05366
Organisme : Japan Society for the Promotion of Science
ID : 19H01760
Organisme : Tohoku University-Université de Lorraine Joint Research Fund 2020
ID : Tohoku University-Université de Lorraine Joint Research Fund 2020
Organisme : Japan Society for the Promotion of Science
ID : Leading Initiative for Excellent Young Researchers (LEADER) program

Références

Psychon Bull Rev. 2017 Aug;24(4):1077-1096
pubmed: 28116702
Nat Neurosci. 2015 Mar;18(3):470-5
pubmed: 25664913
Front Aging Neurosci. 2016 Dec 23;8:302
pubmed: 28066229
Front Hum Neurosci. 2016 Jun 17;10:301
pubmed: 27378892
Brain Cogn. 1995 Jun;28(1):39-58
pubmed: 7546667
Nutrients. 2021 Jan 25;13(2):
pubmed: 33503851
Front Aging Neurosci. 2021 Jun 09;13:682683
pubmed: 34177558
Front Comput Neurosci. 2016 Jul 12;10:70
pubmed: 27462216
Cortex. 2013 Sep;49(8):2106-25
pubmed: 23079491
Brain Imaging Behav. 2017 Feb;11(1):141-154
pubmed: 26843001
Front Hum Neurosci. 2012 Mar 27;6:63
pubmed: 22470330
Neuropsychol Rev. 2017 Dec;27(4):403-439
pubmed: 28726168
Trials. 2012 Apr 06;13:32
pubmed: 22483196
Psychol Res. 2020 Sep;84(6):1586-1609
pubmed: 31053887
Psychiatry Clin Neurosci. 2006 Jun;60(3):332-9
pubmed: 16732750
J Neurosci. 2014 Jan 22;34(4):1224-33
pubmed: 24453314
Front Neurosci. 2020 Jul 21;14:594
pubmed: 32848528
Sci Rep. 2019 Sep 4;9(1):12747
pubmed: 31484977
Sci Rep. 2021 Feb 18;11(1):4061
pubmed: 33602994
Neuroimage. 2016 Jul 1;134:153-159
pubmed: 27015711
Brain Sci. 2020 Aug 15;10(8):
pubmed: 32824185
J Neural Eng. 2009 Feb;6(1):016003
pubmed: 19104138
Annu Rev Neurosci. 2013 Jul 8;36:451-66
pubmed: 23841841
Neuroscientist. 2007 Jun;13(3):280-91
pubmed: 17519370
PLoS One. 2012;7(1):e29676
pubmed: 22253758
Biol Psychol. 2014 Jan;95:4-20
pubmed: 23643926
Basic Clin Neurosci. 2016 Apr;7(2):143-58
pubmed: 27303609
Front Psychol. 2018 Mar 27;9:401
pubmed: 29636715
Front Aging Neurosci. 2019 May 07;11:99
pubmed: 31133842
Psychol Aging. 2016 Mar;31(2):166-75
pubmed: 26796792
PLoS One. 2013;8(2):e55518
pubmed: 23405164

Auteurs

Rui Nouchi (R)

Department of Cognitive Health Science, Institute of Development, Aging and Cancer (IDAC), Tohoku University, Sendai 980-8575, Japan.
Smart Aging Research Center (S.A.R.C.), Tohoku University, Seiryo-Machi 4-1, Sendai 980-8575, Japan.

Haruka Nouchi (H)

Department of Cognitive Health Science, Institute of Development, Aging and Cancer (IDAC), Tohoku University, Sendai 980-8575, Japan.

Jerome Dinet (J)

Department of Psychology, Université de Lorraine, F-54000 Nancy, France.
Lorraine Research Laboratory in Computer Science and Its Applications (LORIA), Université de Lorraine, CNRS, INRIA, F-54000 Nancy, France.

Ryuta Kawashima (R)

Smart Aging Research Center (S.A.R.C.), Tohoku University, Seiryo-Machi 4-1, Sendai 980-8575, Japan.
Department of Functional Brain Imaging, Institute of Development, Aging and Cancer (IDAC), Tohoku University, Sendai 980-8575, Japan.

Classifications MeSH