Effects of Video Games on Heart Rate Peer Reviewed
Brain Sci. 2019 Oct; 9(10): 251.
Does Video Gaming Take Impacts on the Brain: Testify from a Systematic Review
Denilson Bright T.
1Department of Biomedicine, Republic of indonesia International Institute for Life Sciences (i3L), E Dki jakarta 13210, Republic of indonesia
Rui Nouchi
2Smart Ageing Research Middle (SARC), Tohoku Academy, Sendai 980-8575, Japan; pj.ca.ukohot@iur (R.N.); pj.ca.ukohot@atuyr (R.K.)
threeSection of Cognitive Health Science, Plant of Evolution, Aging and Cancer (IDAC), Tohoku Academy, Sendai 980-8575, Japan
Ryuta Kawashima
2Smart Ageing Research Center (SARC), Tohoku University, Sendai 980-8575, Japan; pj.ca.ukohot@iur (R.North.); pj.ca.ukohot@atuyr (R.K.)
4Department of Functional Brain Imaging, Institute of Evolution, Aging and Cancer (IDAC), Tohoku Academy, Sendai 980-8575, Japan
Received 2019 Aug 18; Accustomed 2019 Sep 23.
Abstruse
Video gaming, the experience of playing electronic games, has shown several benefits for human wellness. Recently, numerous video gaming studies showed beneficial furnishings on cognition and the encephalon. A systematic review of video gaming has been published. Yet, the previous systematic review has several differences to this systematic review. This systematic review evaluates the beneficial effects of video gaming on neuroplasticity specifically on intervention studies. Literature research was conducted from randomized controlled trials in PubMed and Google Scholar published after 2000. A systematic review was written instead of a meta-analytic review considering of variations amongst participants, video games, and outcomes. Nine scientific articles were eligible for the review. Overall, the eligible articles showed fair quality according to Delphi Criteria. Video gaming affects the brain structure and part depending on how the game is played. The game genres examined were 3D chance, first-person shooting (FPS), puzzle, rhythm dance, and strategy. The full training durations were 16–ninety h. Results of this systematic review demonstrated that video gaming can exist beneficial to the brain. However, the beneficial furnishings vary among video game types.
Keywords: brain, neuroplasticity, video gaming
one. Introduction
Video gaming refers to the feel of playing electronic games, which vary from activeness to passive games, presenting a actor with physical and mental challenges. The motivation to play video games might derive from the feel of autonomy or competing with others, which tin explain why video gaming is pleasurable and addictive [ane].
Video games tin can act as "teachers" depending on the game purpose [2]. Video gaming has varying effects depending on the game genre. For instance, an active video game can improve physical fettle [three,four,5,6], whereas social video games tin better social beliefs [vii,8,9]. The well-nigh interesting results show that playing video games tin can change cognition and the brain [10,xi,12,thirteen].
Before studies have demonstrated that playing video games can benefit noesis. Cantankerous-sectional and longitudinal studies take demonstrated that the feel of video gaming is associated with better cognitive role, specifically in terms of visual attention and short-term memory [14], reaction time [15], and working memory [xvi]. Additionally, some randomized controlled studies show positive effects of video gaming interventions on knowledge [17,18]. Recent meta-analytical studies have as well supported the positive furnishings of video gaming on noesis [x,11,12,13]. These studies demonstrate that playing video games does provide cerebral benefits.
The effects of video gaming intervention are ever more than widely discussed amidst scientists [13]. A review of the results and methodological quality of recently published intervention studies must be done. One systematic review of video gaming and neural correlates has been reported [19]. However, the technique of neuroimaging of the reviewed studies was not specific. This systematic review reviewed only magnetic resonance imaging (MRI) studies in dissimilarity to the previous systematic review to focus on neuroplasticity event. Neuroplasticity is capability of the brain that accommodates adaptation for learning, memorizing, and recovery purposes [nineteen]. In normal accommodation, the brain is adapting to learn, remember, forget, and repair itself. Recent studies using MRI for brain imaging techniques have demonstrated neuroplasticity effects later on an intervention, which include cognitive, do, and music training on the gray matter [20,21,22,23,24] and white matter [25,26,27,28,29]. Nonetheless, the molecular mechanisms of the grey and white matter change remain inconclusive. The proposed mechanisms for the grey matter alter are neurogenesis, gliogenesis, synaptogenesis, and angiogenesis, whereas those for white matter change are myelin modeling and formation, fiber organization, and angiogenesis [thirty]. Recent studies using MRI technique for brain imaging have demonstrated video gaming effects on neuroplasticity. Earlier imaging studies using cross-sectional and longitudinal methods have shown that playing video games affects the brain construction by changing the gray affair [31,32,33], white thing [34,35], and functional connectivity [36,37,38,39]. Additionally, a few intervention studies have demonstrated that playing video games changed brain construction and functions [40,41,42,43].
The earlier review likewise found a link between neural correlates of video gaming and cognitive role [19]. However, that review used both experimental and correlational studies and included not-salubrious participants, which contrasts to this review. The differences between this and the previous review are presented in Tabular array one. This review assesses simply experimental studies conducted of healthy participants. Additionally, the cross-sectional and longitudinal studies simply showed an association betwixt video gaming experiences and the encephalon, showing straight effects of playing video games in the brain is difficult. Therefore, this systematic review specifically examined intervention studies. This review is more specific every bit it reviews intervention and MRI studies on healthy participants. The purposes of this systematic review are therefore to evaluate the beneficial effects of video gaming and to assess the methodological quality of recent video gaming intervention studies.
Table 1
Differences between previous review and current review.
| Departure | Previous Review | Current Review |
|---|---|---|
| Type of reviewed studies | Experimental and correlational studies | Experimental studies only |
| Neuroimaging technique of reviewed studies | CT, fMRI, 1000000, MRI, PET, SPECT, tDCS, EEG, and NIRS | fMRI and MRI only |
| Participants of reviewed studies | Healthy and addicted participant | Good for you participants Only |
2. Materials and Methods
2.1. Search Strategy
This systematic review was designed in accord with the PRISMA checklist [44] shown in Appendix Tabular array A1. A literature search was conducted using PubMed and Google Scholar to identify relevant studies. The keywords used for the literature search were combinations of "video game", "video gaming", "game", "action video game", "video game training", "grooming", "play", "playing", "MRI", "cognitive", "knowledge", "executive function", and "randomized control trial".
2.2. Inclusion and Exclusion Criteria
The chief inclusion criteria were randomized controlled trial report, video game interaction, and MRI/fMRI analysis. Studies that qualified with only one or two principal inclusions were not included. Review papers and experimental protocols were also non included. The secondary inclusion criteria were publishing afterwards 2000 and published in English. Excluded were duration of less than 4 weeks or unspecified length intervention or combination intervention. As well excluded were studies of cognition-based games, and studies of participants with psychiatric, cognitive, neurological, and medical disorders.
2.3. Quality Cess
Each of the quality studies was assessed using Delphi criteria [45] with several additional elements [46]: details of allocation methods, adequate descriptions of control and training groups, statistical comparisons between control and training groups, and dropout reports. The respective full scores (max = 12) are shown in Tabular array 3. The quality assessment as well includes assessment for risk of bias, which is shown in criteria numbers 1, 2, 5, 6, seven, 9, and 12.
two.4. Statistical Analysis
Instead of a meta-analysis report, a systematic review of the video game training/video gaming and the effects was conducted considering of the variation in ranges of participant age, video game genre, command type, MRI and statistical assay, and training outcomes. Therefore, the quality, inclusion and exclusion, control, handling, game title, participants, preparation catamenia, and MRI assay and specification of the studies were recorded for the respective games.
three. Results
The literature search fabricated of the databases yielded 140 scientific manufactures. All scientific articles were screened based on inclusion and exclusion criteria. Of those 140 scientific articles, nine were eligible for the review [forty,41,42,43,47,48,49,l,51]. Video gaming effects are listed in Table 2.
Table two
Summary of beneficial effect of video gaming.
| Author | Yr | Participant Age | Game Genre | Command | Duration | Beneficial Effect |
|---|---|---|---|---|---|---|
| Gleich et al. [43] | 2017 | 18–36 | 3D take chances | passive | viii weeks | Increased activeness in hippocampus |
| Decreased activeness in DLPFC | ||||||
| Haier et al. [xl] | 2009 | 12–15 | puzzle | passive | 3 months | Increased GM in several visual–spatial processing area |
| Decreased activity in frontal expanse | ||||||
| Kuhn et al. [42] | 2014 | 19–29 | 3D take a chance | passive | 8 weeks | Increased GM in hippocampal, DLPFC and cerebellum |
| Lee et al. [47] | 2012 | 18–30 | strategy | active | 8–x weeks | Decreased action in DLPFC |
| eight–11 weeks | Non-significant activity difference | |||||
| Lorenz et al. [49] | 2015 | xix–27 | 3D adventure | passive | 8 weeks | Preserved action in ventral striatum |
| Martinez et al. [41] | 2013 | 16–21 | puzzle | passive | 4 weeks | Functional connectivity change in multimodal integration system |
| Functional connectivity change in higher-club executive processing | ||||||
| Roush [48] | 2013 | 50–65 | rhythm trip the light fantastic | active | 24 weeks | Increased activity in visuospatial working memory expanse |
| Increased action in emotional and attention surface area | ||||||
| passive | Like compared to active command- | |||||
| West et al. [50] | 2017 | 55–75 | 3D adventure | active | 24 weeks | Non-significant GM departure |
| passive | Increased cognitive performance and curt-term memory | |||||
| Increased GM in hippocampus and cerebellum | ||||||
| Due west et al. [51] | 2018 | eighteen–29 | FPS | active | 8 weeks | Increased GM in hippocampus (spatial learner *) |
| Increased GM in amygdala (response learner *) | ||||||
| Decreased GM in hippocampus (response learner) |
Nosotros excluded 121 articles: 46 were not MRI studies, 16 were not controlled studies, 38 were not intervention studies, 13 were review manufactures, and eight were miscellaneous, including study protocols, non-video gaming studies, and not-encephalon studies. Of eighteen included scientific manufactures, 9 were excluded. Of those ix excluded manufactures, 2 were cognitive-based game studies, 3 were shorter than 4 weeks in duration or were without a specified length intervention, two studies used a non-healthy participant handling, and ane was a combination intervention study. A screening flowchart is portrayed in Figure 1.
Flowchart of literature search.
three.1. Quality Assessment
The assessment methodology based on Delphi criteria [45] for the quality of eligible studies is presented in Tabular array 3. The quality scores assigned to the studies were 3–9 (mean = 6.x; S.D. = ane.69). Overall, the studies showed off-white methodological quality according to the Delphi criteria. The highest quality score of the nine eligible articles was assigned to "Playing Super Mario 64 increases hippocampal grey matter in older adult" published by West et al. in 2017, which scored nine of 12. The scores assigned for criteria 6 (blinded care provider) and 7 (blinded patient) were everyman because of unspecified information related to blinding for those criteria. Additionally, criteria 2 (curtained resource allotment) and 5 (blinding assessor) were depression because only two articles specified that information. All articles met criteria 3 and 4 adequately.
Tabular array 3
Methodological quality of eligible studies.
| Writer | Twelvemonth | Q1 | Q2 | Q3 | Q4 | Q5 | Q6 | Q7 | Q8 | Q9 | Q10 | Q11 | Q12 | Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Gleich et al. [43] | 2017 | 1 | 0 | i | i | 0 | 0 | 0 | 0 | 0 | ane | 1 | 1 | 6 |
| Haier et al. [xl] | 2009 | 1 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | v |
| Kuhn et al. [42] | 2014 | 1 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | one | 0 | 5 |
| Lee et al. [47] | 2012 | 0 | 0 | ane | 1 | 0 | 0 | 0 | 0 | 1 | 1 | 1 | one | vi |
| Lorenz et al. [49] | 2015 | 1 | 0 | 1 | 1 | 0 | 0 | 0 | one | 0 | 1 | 1 | 1 | 7 |
| Martinez et al. [41] | 2013 | 0 | 0 | i | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 3 |
| Roush [48] | 2013 | i | 1 | 1 | ane | 1 | 0 | 0 | 0 | i | 1 | 0 | 0 | seven |
| Due west et al. [50] | 2017 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | one | 1 | i | 1 | 1 | ix |
| West et al. [51] | 2018 | 0 | 0 | 1 | 1 | one | 0 | 0 | 1 | 1 | ane | 0 | 1 | 7 |
| Score | six | two | ix | 9 | ii | 0 | 0 | 3 | iv | eight | vii | five |
iii.2. Inclusion and Exclusion
Well-nigh studies included participants with picayune or no experience with gaming and excluded participants with psychiatric/mental, neurological, and medical affliction. 4 studies specified handedness of the participants and excluded participants with game training experience. The inclusion and exclusion criteria are presented in Tabular array four.
Table 4
Inclusion and exclusion criteria for eligible studies.
| Author | Year | Inclusion | Exclusion | ||||||
|---|---|---|---|---|---|---|---|---|---|
| i1 | i2 | i3 | e1 | e2 | e3 | e4 | e5 | ||
| Gleich et al. [43] | 2017 | 1 | 0 | 0 | 1 | 1 | 1 | 1 | 1 |
| Haier et al. [twoscore] | 2009 | 1 | 0 | 1 | 1 | 1 | one | 0 | 0 |
| Kuhn et al. [42] | 2014 | one | 0 | 0 | ane | 1 | 1 | one | 1 |
| Lee et al. [47] | 2012 | 1 | one | 0 | 1 | 1 | 0 | 1 | 0 |
| Lorenz et al. [49] | 2015 | 1 | one | 0 | 1 | 0 | 0 | 1 | i |
| Martinez et al. [41] | 2013 | 1 | 1 | 1 | one | ane | 0 | 0 | 1 |
| Roush [48] | 2013 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 |
| West et al. [50] | 2017 | 1 | 1 | 0 | 1 | ane | ane | one | 0 |
| Westward et al. [51] | 2018 | 1 | 0 | 0 | one | 1 | 1 | 0 | 0 |
| total | viii | iv | 3 | 8 | vii | 6 | 5 | four | |
three.3. Control Group
9 eligible studies were categorized every bit three types based on the command type. Two studies used agile control, five studies used passive control, and two studies used both active and passive control. A summary of the control grouping is presented in Table 5.
Table 5
Control group examined eligible studies.
| Control | Author | Year |
|---|---|---|
| Active command | Lee et al. [47] | 2012 |
| West et al. [51] | 2018 | |
| Passive control | Gleich et al. [43] | 2017 |
| Haier et al. [40] | 2009 | |
| Kuhn et al. [42] | 2014 | |
| Lorenz et al. [49] | 2015 | |
| Martinez et al. [41] | 2013 | |
| Agile–passive control | Roush [48] | 2013 |
| W et al. [50] | 2017 |
3.four. Game Title and Genre
Of the nine eligible studies, 4 used the same 3D risk game with different game platforms, which were "Super Mario 64" original and the DS version. Ane study used first-person shooting (FPS) shooting games with many different game titles: "Call of Duty" is ane title. Two studies used puzzle games: "Tetris" and "Professor Layton and The Pandora's Box." I study used a rhythm dance game: Trip the light fantastic toe Revolution. 1 study used a strategy game: "Space Fortress." Game genres are presented in Table six.
Table 6
Genres and game titles of video gaming intervention.
| Genre | Writer | Yr | Title |
|---|---|---|---|
| 3D adventure | Gleich et al. [43] | 2017 | Super Mario 64 DS |
| Kuhn et al. [42] | 2014 | Super Mario 64 | |
| Lorenz et al. [49] | 2015 | Super Mario 64 DS | |
| Due west et al. [l] | 2017 | Super Mario 64 | |
| FPS | West et al. * [51] | 2018 | Call of Duty |
| Puzzle | Haier et al. [forty] | 2009 | Tetris |
| Martinez et al. [41] | 2013 | Professor Layton and The Pandora's Box | |
| Rhythm dance | Roush [48] | 2013 | Trip the light fantastic toe Revolution |
| Strategy | Lee et al. [47] | 2012 | Infinite Fortress |
3.5. Participants and Sample Size
Among the 9 studies, one report examined teenage participants, half-dozen studies included young adult participants, and 2 studies assessed older adult participants. Participant information is shown in Table 7. Numbers of participants were xx–75 participants (mean = 43.67; S.D. = xv.63). Three studies examined female-simply participants, whereas six others used male person and female person participants. Six studies with female and male participants had more than female than male participants.
Table 7
Participant details of eligible studies.
| Category | Author | Yr | Historic period | Sample Size | Ratio (%) | Detail | |||
|---|---|---|---|---|---|---|---|---|---|
| Everyman | Highest | Range | Female person | Male person | |||||
| Teenager | Haier et al. [40] | 2009 | 12 | 15 | three | 44 | 70.45 | 29.54 | Training (northward = 24) Control (n = 20) |
| Immature developed | Gleich et al. [43] | 2017 | eighteen | 36 | 18 | 26 | 100 | 0 | Training (northward = 15) |
| Control (n = 11) | |||||||||
| Kuhn et al. [42] | 2014 | nineteen | 29 | 10 | 48 | 70.8 | 29.2 | Training (n = 23) | |
| Control (n = 25) | |||||||||
| Lee et al. [47] | 2012 | 18 | thirty | 12 | 75 | 61.4 | 38.6 | Training A (northward = 25) | |
| Training B (northward = 25) | |||||||||
| Control (due north = 25) | |||||||||
| Lorenz et al. [49] | 2015 | 19 | 27 | 8 | fifty | 72 | 28 | Training (due north = 25 | |
| Control (n = 25) | |||||||||
| Martinez et al. [41] | 2013 | 16 | 21 | 5 | twenty | 100 | 0 | Grooming (n = 10) | |
| Control (north = 10) | |||||||||
| West et al. [51] | 2018 | xviii | 29 | 11 | 43 | 67.4 | 32.v | Action game (n = 21) | |
| Not-action game (due north = 22) | |||||||||
| Older adult | Roush [48] | 2013 | 50 | 65 | 15 | 39 | 100 | 0 | Preparation (northward = 19) |
| Active control (due north = 15) | |||||||||
| Passive control (northward = 5) | |||||||||
| Westward et al. [50] | 2017 | 55 | 75 | twenty | 48 | 66.7 | 33.3 | Preparation (n = 19) | |
| Active command (north = 14) | |||||||||
| Passive control (due north = xv) | |||||||||
three.6. Training Period and Intensity
The training period was 4–24 weeks (mean = xi.49; S.D. = 6.88). One study past Lee et al. had two length periods and full hours because the written report examined video game training of 2 types. The total training hours were xvi–xc h (mean = 40.63; S.D. = 26.22), whereas the training intensity was ane.5–10.68 h/week (mean = 4.96; S.D. = 3.00). One study did non specify full training hours. Two studies did not specify the training intensity. The training periods and intensities are in Tabular array eight.
Table eight
Periods and intensities of video gaming intervention.
| Author | Year | Length (Week) | Full Hours | Average Intensity (h/Calendar week) |
|---|---|---|---|---|
| Gleich et al. [43] | 2017 | 8 | 49.five | 6.2 |
| Haier et al. [40] | 2009 | 12 | 18 | ane.5 |
| Kuhn et al. [42] | 2014 | viii | 46.88 | 5.86 |
| Lorenz et al. [49] | 2012 | 8 | 28 | 3.5 |
| Lee et al. [47] | 2015 | 8–11 * | 27 | n/a |
| Martinez et al. [41] | 2013 | iv | 16 | 4 |
| Roush [48] | 2013 | 24 | ns | n/a |
| Westward et al. [50] | 2017 | 24 | 72 | 3 |
| West et al. [51] | 2018 | 8.four | xc | 10.68 |
3.vii. MRI Assay and Specifications
Of nine eligible studies, one study used resting-state MRI analysis, iii studies (excluding that past Haier et al. [40]) used structural MRI assay, and 5 studies used task-based MRI analysis. A report by Haier et al. used MRI analyses of two types [twoscore]. A summary of MRI analyses is presented in Table 9. The related resting-state, structural, and job-based MRI specifications are presented in Table 10, Table 11 and Table 12 respectively.
Table 9
MRI analysis details of eligible studies.
| MRI Analysis | Writer | Yr | Contrast | Statistical Tool | Statistical Method | p Value |
|---|---|---|---|---|---|---|
| Resting | Martinez et al. [41] | 2013 | (mail service- > pre-training) > (post>pre-control) | MATLAB; SPM8 | TFCE uncorrected | <0.005 |
| Structural | Haier et al. * [40] | 2009 | (post>pre-training) > (post>pre-control) | MATLAB seven; SurfStat | FWE corrected | <0.005 |
| Kuhn et al. [42] | 2014 | (post>pre-training) > (post>pre-control) | VBM8; SPM8 | FWE corrected | <0.001 | |
| West et al. [50] | 2017 | (post>pre-training) > (post>pre-control) | Bpipe | Uncorrected | <0.0001 | |
| Due west et al. [51] | 2018 | (mail service>pre-training) > (post>pre-control) | Bpipe | Bonferroni corrected | <0.001 | |
| Job | Gleich et al. [43] | 2017 | (post>pre-training) > (post>pre-control) | SPM12 | Monte Carlo corrected | <0.05 |
| Haier et al. * [40] | 2009 | (post>pre-training) > (mail service>pre-control) | SPM7 | FDR corrected | <0.05 | |
| Lee et al. [47] | 2012 | (post>pre-training) > (postal service>pre-command) | FSL; FEAT | uncorrected | <0.01 | |
| Lorenz et al. [49] | 2015 | (post>pre-preparation) > (postal service>pre-command) | SPM8 | Monte Carlo corrected | <0.05 | |
| Roush + [48] | 2013 | mail>pre-grooming | MATLAB 7; SPM8 | uncorrected | =0.001 |
Table 10
Resting-State MRI specifications of eligible studies.
| Writer | Year | Resting Land | Structural | ||||||
|---|---|---|---|---|---|---|---|---|---|
| Imaging | TR (s) | TE (ms) | Piece | Imaging | TR (south) | TE (ms) | Piece | ||
| Martinez et al. [41] | 2013 | slope-echo planar image | 3 | 28.1 | 36 | T1-weighted | 0.92 | 4.2 | 158 |
Table 11
Structural MRI specifications of eligible studies.
| Writer | Yr | Imaging | TR (s) | TE (ms) |
|---|---|---|---|---|
| Kuhn et al. [42] | 2014 | 3D T1 weighted MPRAGE | 2.five | 4.77 |
| West et al. [50] | 2017 | 3D gradient echo MPRAGE | 2.3 | two.91 |
| West et al. [51] | 2018 | 3D gradient repeat MPRAGE | 2.3 | 2.91 |
Table 12
Task-Based MRI specifications of eligible studies.
| Author | Year | Task | BOLD | Structural | ||||||
|---|---|---|---|---|---|---|---|---|---|---|
| Imaging | TR (s) | TE (ms) | Slice | Imaging | TR (s) | TE (ms) | Piece | |||
| Gleich et al. [43] | 2017 | win–loss epitome | T2 echo-planar epitome | 2 | thirty | 36 | T1-weighted | two.v | 4.77 | 176 |
| Haier et al. [40] | 2009 | Tetris | Functional echo planar | 2 | 29 | ns | five-echo MPRAGE | ii.53 | 1.64; 3.5; 5.36; 7.22; 9.08 | ns |
| Lee et al. [47] | 2012 | game control | fast repeat-planar paradigm | 2 | 25 | ns | T1-weighted MPRAGE | 1.viii | 3.87 | 144 |
| Lorenz et al. [49] | 2015 | slot auto paradigm | T2 echo-planar prototype | ii | thirty | 36 | T1-weighted MPRAGE | ii.5 | 4.77 | ns |
| Roush [48] | 2013 | digit symbol substitution | fast echo-planar epitome | 2 | 25 | 34 | diffusion weighted image | ns | ns | ns |
four. Word
This literature review evaluated the event of noncognitive-based video game intervention on the cognitive office of healthy people. Comparison of studies is difficult because of the heterogeneities of participant ages, beneficial effects, and durations. Comparisons are limited to studies sharing factors.
4.ane. Participant Historic period
Video gaming intervention affects all age categories except for the children category. The exception derives from a lack of intervention studies using children as participants. The underlying reason for this exception is that the brain is still developing until historic period 10–12 [52,53]. Amongst the eligible studies were a study investigating adolescents [40], six studies investigating young adults [41,42,43,47,49,51] and two studies investigating older adults [48,50].
Differences amongst written report purposes underlie the differences in participant age categories. The written report by Haier et al. was intended to study adolescents considering the category shows the almost potential encephalon changes. The homo brain is more sensitive to synaptic reorganization during the adolescent menses [54]. Generally, grey thing decreases whereas white matter increases during the adolescent period [55,56]. Past contrast, the cortical surface of the encephalon increases despite reduction of grey matter [55,57]. Six studies were investigating young adults with the intention of studying brain changes after the brain reaches maturity. The human brain reaches maturity during the young developed period [58]. Two studies were investigating older adults with the intention of combating difficulties caused by crumbling. The homo encephalon shrinks equally historic period increases [56,59], which almost invariably leads to declining cognitive function [59,60].
4.2. Beneficial Effects
Three beneficial outcomes were observed using MRI method: grey matter alter [twoscore,42,50], brain activity change [40,43,47,48,49], and functional connectivity alter [41]. The affected brain area corresponds to how the respective games were played.
4 studies of 3D video gaming showed effects on the construction of hippocampus, dorsolateral prefrontal cortex (DLPFC), cerebellum [42,43,50], and DLPFC [43] and ventral striatum activity [49]. In this case, the hippocampus is used for memory [61] and scene recognition [62], whereas the DLPFC and cerebellum are used for working memory office for information manipulation and trouble-solving processes [63]. The grey matter of the corresponding encephalon region has been shown to increment during preparation [twenty,64]. The increased grey affair of the hippocampus, DLPFC, and cerebellum are associated with ameliorate performance in reference and working memory [64,65].
The reduced activeness of DLPFC found in the written report by Gleich et al. corresponds to studies that showed reduced brain activeness associated with brain training [66,67,68,69]. Decreased activity of the DLPFC afterwards grooming is associated with efficiency in divergent thinking [70]. 3D video gaming too preserved advantage systems by protecting the action of the ventral striatum [71].
Two studies of puzzle gaming showed effects on the structure of the visual–spatial processing surface area, activity of the frontal area, and functional connectivity alter. The increased grey matter of the visual–spatial area and decreased activity of the frontal area are similar to training-associated grey affair increment [twenty,64] and activeness decrease [66,67,68,69]. In this case, visual–spatial processing and frontal area are used constantly for spatial prediction and trouble-solving of Tetris. Functional connectivity of the multimodal integration and the higher-lodge executive organisation in the puzzle solving-based gaming of Professor Layton game corresponds to studies which demonstrated preparation-associated functional connectivity alter [72,73]. Good functional connectivity implies better functioning [73].
Strategy gaming affects the DLPFC activity, whereas rhythm gaming affects the activity of visuospatial working memory, emotional, and attention expanse. FPS gaming affects the structure of the hippocampus and amygdala. Decreased DLPFC activity is similar to grooming-associated activity subtract [66,67,68,69]. A written report by Roush demonstrated increased activity of visuospatial working retention, emotion, and attention area, which might occur because of exercise and gaming in the Trip the light fantastic toe Revolution game. Results suggest that positive activations indicate altered functional areas by complex exercise [48]. The increased grey affair of the hippocampus and amygdala are similar to the training-associated greyness matter increase [20,64]. The hippocampus is used for 3D navigation purposes in the FPS world [61], whereas the amygdala is used to stay alert during gaming [74].
4.3. Duration
Change of the brain structure and part was observed after 16 h of video gaming. The total durations of video gaming were 16–90 h. However, the gaming intensity must be noted because the gaming intensity varied: 1.5–10.68 h per week. The dissimilar intensities might touch on the modify of cognitive function. Cognitive intervention studies demonstrated intensity effects on the cortical thickness of the brain [75,76]. A similar effect might be observed in video gaming studies. More studies must be conducted to resolve how the intensity can be expected to affect cerebral function.
4.4. Criteria
Most all studies used inclusion criteria "little/no experience with video games." The criterion was used to reduce the factor of gaming-related feel on the effects of video gaming. Some of the studies also used specific handedness and specific sex of participants to reduce the variation of brain furnishings. Expertise and sexual activity are shown to touch on brain action and structure [77,78,79,80]. The exclusion criterion of "MRI contraindication" is used for participant safety for the MRI protocol, whereas exclusion criteria of "psychiatric/mental disease", "neurological disease", and "medical illness" are used to standardize the participants.
4.5. Limitations and Recommendations
Some business organization might be raised about the quality of methodology, assessed using Delphi criteria [45]. The quality was 3–9 (mean = 6.ten; S.D. = one.69). Low quality in most papers resulted from unspecified information corresponding to the criteria. Quality improvements for the studies must be performed related to the depression quality of methodology. Allocation concealment, assessor blinding, care provider blinding, participant blinding, intention-to-treat assay, and allocation method details must be improved in futurity studies.
Another concern is blinding and control. This type of study differs from medical studies in which patients tin be blinded easily. In studies of these types, the participants were tasked to practise either training every bit an active control group or to do aught as a passive control grouping. The participants tin can expect something from the task. The expectation might bear upon the outcomes of the studies [81,82,83]. Additionally, the waiting-list control group might overestimate the consequence of grooming [84].
Considering the sample size, which was 20–75 (mean = 43.67; S.D. = 15.63), the studies must be upscaled to emphasize video gaming effects. There are iv phases of clinical trials that start from the early on stage and small-scale stage 1 to late stage and large-calibration phase 3 and stop in post-marketing observation stage 4. These four phases are used for drug clinical trials, according to the food and drug administration (FDA) [85]. Phase one has the purpose of revealing the safety of treatment with effectually twenty–100 participants. Stage ii has the purpose of elucidating the efficacy of the treatment with upwardly to several hundred participants. Phase 3 has the purpose of revealing both efficacy and safety amongst 300–3000 participants. The final phase four has the purpose of finding unprecedented adverse furnishings of treatment later marketing. However, because medical studies and video gaming intervention studies differ in terms of experimental methods, slight modifications tin can be washed for adaptation to video gaming studies.
Several unresolved issues persist in relation to video gaming intervention. Commencement, no studies assessed chronic/long-term video gaming. The participants might lose their motivation to play the same game over a long time, which might affect the study outcomes [86]. Second, meta-analyses could non be washed because the game genres are heterogeneous. To ensure homogeneity of the study, stricter criteria must be set. Yet, this step would engender a tertiary limitation. 3rd, randomized controlled trial video gaming studies that use MRI analysis are few. More studies must be conducted to assess the effects of video gaming. Fourth, the eligible studies lacked cognitive tests to validate the cognitive change effects for training. Studies of video gaming intervention should also include a cerebral test to define the relation betwixt cognitive function and encephalon change.
five. Conclusions
The systematic review has several conclusions related to beneficial effects of noncognitive-based video games. Offset, noncognitive-based video gaming can exist used in all age categories as a means to improve the encephalon. However, effects on children remain unclear. Second, noncognitive-based video gaming affects both structural and functional aspects of the brain. Third, video gaming effects were observed after a minimum of sixteen h of grooming. Fourth, some methodology criteria must be improved for better methodological quality. In conclusion, astute video gaming of a minimum of 16 h is beneficial for brain office and construction. Still, video gaming effects on the encephalon area vary depending on the video game type.
Acknowledgments
We would like to thank all our other colleagues in IDAC, Tohoku University for their support.
Appendix A
Table A1
PRISMA Checklist of the literature review.
| Section/Topic | # | Checklist Item | Reported on Page # |
|---|---|---|---|
| TITLE | |||
| Title | 1 | Identify the study as a systematic review, meta-assay, or both. | one |
| Abstruse | |||
| Structured summary | two | Provide a structured summary including, as applicable: background; objectives; data sources; report eligibility criteria, participants, and interventions; study appraisement and synthesis methods; results; limitations; conclusions and implications of key findings; systematic review registration number. | ane |
| INTRODUCTION | |||
| Rationale | 3 | Depict the rationale for the review in the context of what is already known. | 1, 2 |
| Objectives | 4 | Provide an explicit statement of questions being addressed related to participants, interventions, comparisons, outcomes, and study blueprint (PICOS). | two |
| METHODS | |||
| Protocol and registration | 5 | Indicate if a review protocol exists, if and where it is accessible (e.g., Web accost), and if available, provide registration information including registration number. | 2 |
| Eligibility criteria | 6 | Specify study characteristics (e.chiliad., PICOS, length of follow-up) and report characteristics (due east.g., years considered, language, publication status) used as criteria for eligibility, giving rationale. | ii |
| Information sources | seven | Describe all information sources (e.g., databases with dates of coverage, contact with study authors to identify additional studies) in the search and engagement final searched. | 2 |
| Search | 8 | Nowadays total electronic search strategy for at least ane database, including any limits used, such that it could be repeated. | 2 |
| Study pick | ix | State the process for selecting studies (i.e., screening, eligibility, included in systematic review, and if applicative, included in the meta-analysis). | 3 |
| Data collection procedure | 10 | Describe method of data extraction from reports (e.g., piloted forms, independently, in duplicate) and whatever processes for obtaining and confirming data from investigators. | three |
| Information items | eleven | List and ascertain all variables for which information were sought (e.m., PICOS, funding sources) and any assumptions and simplifications fabricated. | 3 |
| Risk of bias in private studies | 12 | Describe methods used for assessing risk of bias of individual studies (including specification of whether this was done at the study or issue level), and how this data is to be used in whatsoever data synthesis. | two |
| Summary measures | thirteen | State the principal summary measures (east.m., run a risk ratio, difference in means). | - |
| Synthesis of results | 14 | Describe the methods of handling data and combining results of studies, if done, including measures of consistency (e.g., Iii) for each meta-analysis. | - |
| Risk of bias across studies | xv | Specify whatever assessment of risk of bias that might affect the cumulative testify (east.g., publication bias, selective reporting within studies). | - |
| Additional analyses | sixteen | Draw methods of additional analyses (e.k., sensitivity or subgroup analyses, meta-regression), if done, indicating which were pre-specified. | - |
| RESULTS | |||
| Study selection | 17 | Requite numbers of studies screened, assessed for eligibility, and included in the review, with reasons for exclusions at each stage, ideally with a catamenia diagram. | 3,5 |
| Study characteristics | 18 | For each study, present characteristics for which information were extracted (due east.grand., study size, PICOS, follow-up period) and provide the citations. | five-11 |
| Risk of bias within studies | nineteen | Present data on gamble of bias of each study, and if available, any outcome level assessment (see item 12). | 5,six |
| Results of individual studies | 20 | For all outcomes considered (benefits or harms), present, for each written report: (a) simple summary data for each intervention group (b) outcome estimates and confidence intervals, ideally with a forest plot. | iv |
| Synthesis of results | 21 | Present results of each meta-analysis done, including confidence intervals and measures of consistency. | - |
| Risk of bias across studies | 22 | Present results of whatever assessment of risk of bias across studies (meet Item 15). | - |
| Additional analysis | 23 | Give results of additional analyses, if washed (e.g., sensitivity or subgroup analyses, meta-regression [encounter Particular xvi]). | - |
| DISCUSSION | |||
| Summary of evidence | 24 | Summarize the main findings including the strength of bear witness for each master outcome; consider their relevance to primal groups (east.g., healthcare providers, users, and policy makers). | 12,13 |
| Limitations | 25 | Discuss limitations at written report and outcome level (e.grand., gamble of bias), and at review-level (east.thousand., incomplete retrieval of identified research, reporting bias). | 13 |
| Conclusions | 26 | Provide a general estimation of the results in the context of other evidence, and implications for future inquiry. | fourteen |
| FUNDING | |||
| Funding | 27 | Describe sources of funding for the systematic review and other support (e.g., supply of data); role of funders for the systematic review. | fourteen |
Author Contributions
D.B.T., R.North., and R.Yard. designed the systematic review. D.B.T. and R.N. searched and selected the papers. D.B.T. and R.Due north. wrote the manuscript with R.Thou. All authors read and canonical the last manuscript. D.B.T. and R.N. contributed as to this work.
Funding
Study is supported by JSPS KAKENHI Grant Number 17H06046 (Grant-in-Aid for Scientific Enquiry on Innovative Areas) and 16KT0002 (Grant-in-Aid for Scientific Research (B)).
Conflicts of Interest
None of the other authors has whatever conflict of interest to declare. Funding sources are not involved in the study blueprint, collection, analysis, interpretation of data, or writing of the study report.
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Source: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6826942/
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