Dorsolateral Prefrontal Cortex Activity During a Brain Training Game Predicts Cognitive Improvements After Four Weeks' Brain Training Game Intervention: Evidence from a Randomized Controlled Trial

Overview

Journal Brain Sci

Publisher MDPI

Date 2020 Aug 23

PMID 32824185

Citations 17

Authors

Rui Nouchi

Natasha Yuriko Dos Santos Kawata

Toshiki Saito

Robin Maximilian Himmelmeier

Ryo Nakamura

Haruka Nouchi

Ryuta Kawashima

Affiliations

Soon will be listed here.

Abstract

Background: Recent studies have demonstrated that brain activities using NIRS (near-infrared spectroscopy) at baseline during cognitive tasks (e.g., N-back task) can predict the cognitive benefits of a cognitive training. In this study, we investigated whether brain activities during brain training game (BT) at baseline would predict benefits to cognitive functions after the intervention period.

Methods: In a four-week double-blinded randomized control trial (RCT) 72 young adults were randomly assigned to one of the two groups: participants in the BT group played specific game, called the Brain Age. Participants in an active control group (ACT) played the puzzle game Tetris. We measured brain activity during the training games using two channel NIRS before the intervention period. Cognitive functions were tested before and after the four-week intervention period.

Results: The BT showed significant improvements in inhibition, processing speed, and working memory performance compared to ACT. The left and right DLPFC (dorsolateral prefrontal cortex) brain activities during the BT at baseline were associated with improvements in inhibition and processing speed.

Discussion: This randomized control trial first provides scientific evidence that DLPFC activities during BT at baseline can predict cognitive improvements after a four-week intervention period.

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References

Faul F, Erdfelder E, Buchner A, Lang A . Statistical power analyses using G*Power 3.1: tests for correlation and regression analyses. Behav Res Methods. 2009; 41(4):1149-60. DOI: 10.3758/BRM.41.4.1149. View

Curtin A, Ayaz H, Tang Y, Sun J, Wang J, Tong S . Enhancing neural efficiency of cognitive processing speed via training and neurostimulation: An fNIRS and TMS study. Neuroimage. 2019; 198:73-82. DOI: 10.1016/j.neuroimage.2019.05.020. View

Miura N, Iwata K, Watanabe J, Sugiura M, Akitsuki Y, Sassa Y . Cortical activation during reading aloud of long sentences: fMRI study. Neuroreport. 2003; 14(12):1563-6. DOI: 10.1097/00001756-200308260-00004. View

Nozawa T, Sasaki Y, Sakaki K, Yokoyama R, Kawashima R . Interpersonal frontopolar neural synchronization in group communication: An exploration toward fNIRS hyperscanning of natural interactions. Neuroimage. 2016; 133:484-497. DOI: 10.1016/j.neuroimage.2016.03.059. View

Luu S, Chau T . Decoding subjective preference from single-trial near-infrared spectroscopy signals. J Neural Eng. 2008; 6(1):016003. DOI: 10.1088/1741-2560/6/1/016003. View

Vermeij A, Kessels R, Heskamp L, Simons E, Dautzenberg P, Claassen J . Prefrontal activation may predict working-memory training gain in normal aging and mild cognitive impairment. Brain Imaging Behav. 2016; 11(1):141-154. PMC: 5415588. DOI: 10.1007/s11682-016-9508-7. View

Brehmer Y, Westerberg H, Backman L . Working-memory training in younger and older adults: training gains, transfer, and maintenance. Front Hum Neurosci. 2012; 6:63. PMC: 3313479. DOI: 10.3389/fnhum.2012.00063. View

Takeuchi H, Sugiura M, Sassa Y, Sekiguchi A, Yomogida Y, Taki Y . Neural correlates of the difference between working memory speed and simple sensorimotor speed: an fMRI study. PLoS One. 2012; 7(1):e30579. PMC: 3264572. DOI: 10.1371/journal.pone.0030579. View

Nouchi R, Taki Y, Takeuchi H, Hashizume H, Akitsuki Y, Shigemune Y . Brain training game improves executive functions and processing speed in the elderly: a randomized controlled trial. PLoS One. 2012; 7(1):e29676. PMC: 3256163. DOI: 10.1371/journal.pone.0029676. View

10.

Takeuchi H, Taki Y, Nouchi R, Hashizume H, Sekiguchi A, Kotozaki Y . Working memory training impacts the mean diffusivity in the dopaminergic system. Brain Struct Funct. 2014; 220(6):3101-11. PMC: 4575686. DOI: 10.1007/s00429-014-0845-2. View

11.

Matsuoka K, Uno M, Kasai K, Koyama K, Kim Y . Estimation of premorbid IQ in individuals with Alzheimer's disease using Japanese ideographic script (Kanji) compound words: Japanese version of National Adult Reading Test. Psychiatry Clin Neurosci. 2006; 60(3):332-9. DOI: 10.1111/j.1440-1819.2006.01510.x. View

12.

Kawashima R, Taira M, Okita K, Inoue K, Tajima N, Yoshida H . A functional MRI study of simple arithmetic--a comparison between children and adults. Brain Res Cogn Brain Res. 2004; 18(3):227-33. DOI: 10.1016/j.cogbrainres.2003.10.009. View

13.

Nouchi R, Saito T, Nouchi H, Kawashima R . Small Acute Benefits of 4 Weeks Processing Speed Training Games on Processing Speed and Inhibition Performance and Depressive Mood in the Healthy Elderly People: Evidence from a Randomized Control Trial. Front Aging Neurosci. 2017; 8:302. PMC: 5179514. DOI: 10.3389/fnagi.2016.00302. View

14.

Ullman H, Almeida R, Klingberg T . Structural maturation and brain activity predict future working memory capacity during childhood development. J Neurosci. 2014; 34(5):1592-8. PMC: 6827580. DOI: 10.1523/JNEUROSCI.0842-13.2014. View

15.

Blankenship T, Keith K, Calkins S, Bell M . Behavioral Performance and Neural Areas Associated with Memory Processes Contribute to Math and Reading Achievement in 6-year-old Children. Cogn Dev. 2018; 45:141-151. PMC: 5978002. DOI: 10.1016/j.cogdev.2017.07.002. View

16.

Nozawa T, Sakaki K, Ikeda S, Jeong H, Yamazaki S, Dos Santos Kawata K . Prior physical synchrony enhances rapport and inter-brain synchronization during subsequent educational communication. Sci Rep. 2019; 9(1):12747. PMC: 6726616. DOI: 10.1038/s41598-019-49257-z. View

17.

Nouchi R, Taki Y, Takeuchi H, Nozawa T, Sekiguchi A, Kawashima R . Reading Aloud and Solving Simple Arithmetic Calculation Intervention (Learning Therapy) Improves Inhibition, Verbal Episodic Memory, Focus Attention and Processing Speed in Healthy Elderly People: Evidence from a Randomized Controlled Trial. Front Hum Neurosci. 2016; 10:217. PMC: 4868921. DOI: 10.3389/fnhum.2016.00217. View

18.

Haier R, Karama S, Leyba L, Jung R . MRI assessment of cortical thickness and functional activity changes in adolescent girls following three months of practice on a visual-spatial task. BMC Res Notes. 2009; 2:174. PMC: 2746806. DOI: 10.1186/1756-0500-2-174. View

19.

Nouchi R, Taki Y, Takeuchi H, Hashizume H, Nozawa T, Sekiguchi A . Beneficial effects of reading aloud and solving simple arithmetic calculations (learning therapy) on a wide range of cognitive functions in the healthy elderly: study protocol for a randomized controlled trial. Trials. 2012; 13:32. PMC: 3349518. DOI: 10.1186/1745-6215-13-32. View

20.

Takeuchi H, Taki Y, Hashizume H, Sassa Y, Nagase T, Nouchi R . Effects of training of processing speed on neural systems. J Neurosci. 2011; 31(34):12139-48. PMC: 6623215. DOI: 10.1523/JNEUROSCI.2948-11.2011. View