Gamification improves antidepressant effects of cognitive control training-A pilot trial

Simone Weller, Philipp A Schroeder, Christian Plewnia, Simone Weller, Philipp A Schroeder, Christian Plewnia

Abstract

Objective: Computerised cognitive trainings have been put forward to improve control over negatively biased information processing and associated depressive symptomatology. Yet, disease-related impairments of motivation and endurance, as well as insufficient accessibility hinder use of this promising therapeutic opportunity. Here, we developed an app (de:)press© ) that utilizes a cognitive control training (paced auditory serial addition task) enriched with gamification and information elements. We compared a six-week training with de:)press© to a non-gamified version (active control group).

Methods: Thirty-two depressed participants were included. Each received either de:)press© or the non-gamified version and was instructed to train three times per week for two weeks. Afterwards (four weeks) they were free to train at their own discretion. Depression severity was assessed during training and two follow-up sessions. Primary endpoint was defined as difference between groups [change of Montgomery-Åsberg Depression Rating Scale (MADRS)] four weeks after end of training.

Results: Depression severity decreased in both groups. At primary endpoint, MADRS scores were significantly lower in the de:)press© -group compared to the control group. No differences were observed at three months' follow-up. Intervention usability was consistently rated positively. Participants who had trained with de:)press© maintained the recommended training frequency without further prompting. Besides transient fatigue or frustration, no adverse effects were observed.

Conclusion: This pilot demonstrates that gamification and information elements can substantially increase cognitive control training efficacy in alleviating depressive symptoms. Moreover, it provides first evidence for the feasibility and efficacy of de:)press© as an add-on intervention to treat depression.

Clinical trial registration: The study is registered under ClinicalTrials.gov, identifier: NCT04400162.

Keywords: APP; cognitive control; cognitive control training; depression; digital intervention; gamification.

Conflict of interest statement

SW and CP are founders, associates, and chief executive officer (CP) of PsyKit GmbH. The company was founded after data collection of the study had finished and to allow certification of de:)press© as a medical device. PAS does not have any conflicts of interest to declare.

© 2022 Weller, Schroeder and Plewnia.

Figures

Figure 1
Figure 1
Visual representation of the PASAT. Participants heard single digit numbers (here shown in speech bubbles) from the tablet's speakers and were asked to add the last digit to the second-to-last digit (e.g., digits at timepoints A + B, B + C, C + D, and so forth). Numbers were presented with an initial interval of 3 s. Answers were then given on the keyboard. For correct answers the screen briefly flashed green, for wrong answers the screen flashed red and then immediately return to a dark background. This feedback was given concurrently to the following digit presentation (e.g., green feedback at E refers to the correct result given for the addition of C + D).
Figure 2
Figure 2
Screenshots from the IG app. (A) Login screen. (B) Training hub, from which participants were able to chose which area of the app they wanted to explore. (C) Introduction and instructions for the training. Furthermore, psychoeducative information was provided. (D) Keyboard layout during training. This layout shows the first level with an ascending button layout. (E) Progression graph that shows the number of correct responses within each training session (“highscore”). (F) Achievements that can be unlocked during training. In this screenshot no achievements have been unlocked yet. The CG app consisted of screens A (without avatars), (C,D).
Figure 3
Figure 3
Study timeline showing the content of each session.
Figure 4
Figure 4
Development of the MARDS scores over the course of the study. Depicted are means and standard deviations (SD). Participants of the IG showed significantly higher improvement in the reduction of depression scores up until 4 weeks after the end of the training (t4).
Figure 5
Figure 5
Development of the IDS-SR scores over the course of the study. Depicted are means and standard deviations (SD).
Figure 6
Figure 6
Development of the WHO5 scores over the course of the study. Depicted are means and standard deviations (SD).

References

    1. Goeleven E, De Raedt R, Baert S, Koster EHW. Deficient inhibition of emotional information in depression. J Affect Disord. (2006) 93(1–3):149–57. 10.1016/j.jad.2006.03.007
    1. De Raedt R, Koster EHW. Understanding vulnerability for depression from a cognitive neuroscience perspective: a reappraisal of attentional factors and a new conceptual framework. Cogn Affect Behav Neurosci. (2010) 10(1):50–70. 10.3758/CABN.10.1.50
    1. Masand PS. Tolerability and adherence issues in antidepressant therapy. Clin Ther. (2003) 25(8):2289–304. 10.1016/S0149-2918(03)80220-5
    1. Renn BN, Hoeft TJ, Lee HS, Bauer AM, Areán PA. Preference for in-person psychotherapy versus digital psychotherapy options for depression: survey of adults in the U.S. npj Digit Med. (2019) 2(1):1–7. 10.1038/s41746-018-0076-7
    1. LeMoult J, Gotlib IH. Depression: a cognitive perspective. Clin Psychol Rev. (2019) 69:51–66. 10.1016/j.cpr.2018.06.008
    1. Knight MJ, Lyrtzis E, Baune BT. The association of cognitive deficits with mental and physical Quality of Life in Major Depressive Disorder. Compr Psychiatry. (2020) 97:152147. 10.1016/j.comppsych.2019.152147
    1. McIntyre RS, Cha DS, Soczynska JK, Woldeyohannes HO, Gallaugher LA, Kudlow P, et al. Cognitive deficits and functional outcomes in major depressive disorder: determinants, substrates, and treatment interventions. Depress Anxiety. (2013) 30(6):515–27. 10.1002/da.22063
    1. Disner SG, Beevers CG, Haigh EAP, Beck AT. Neural mechanisms of the cognitive model of depression. Nat Rev Neurosci. (2011) 12(8):467–77. 10.1038/nrn3027
    1. Everaert J, Koster EHW, Derakshan N. The combined cognitive bias hypothesis in depression. Clin Psychol Rev. (2012) 32(5):413–24. 10.1016/j.cpr.2012.04.003
    1. Gotlib IH, Krasnoperova E, Yue DN, Joormann J. Attentional biases for negative interpersonal stimuli in clinical depression. J Abnorm Psychol. (2004) 113(1):127–35. 10.1037/0021-843X.113.1.121
    1. Mathews A, MacLeod C. Cognitive vulnerability to emotional disorders. Annu Rev Clin Psychol. (2005) 1(1):167–95. 10.1146/annurev.clinpsy.1.102803.143916
    1. Beck AT. The evolution of the cognitive model of depression and its neurobiological correlates. AJP. (2008) 165(8):969–77. 10.1176/appi.ajp.2008.08050721
    1. Rayner G, Jackson G, Wilson S. Cognition-related brain networks underpin the symptoms of unipolar depression: evidence from a systematic review. Neurosci Biobehav Rev. (2016) 61:53–65. 10.1016/j.neubiorev.2015.09.022
    1. Ahern E, Bockting CLH, Semkovska M. A hot-cold cognitive model of depression: integrating the neuropsychological approach into the cognitive theory framework. Clin Psychol Eur. (2019) 1(3):1–35. 10.32872/cpe.v1i3.34396
    1. Warren MB, Pringle A, Harmer CJ. A neurocognitive model for understanding treatment action in depression. Philos Trans R Soc, B. (2015) 370(1677):20140213. doi: 10.1098/rstb.2014.0213
    1. Joormann J, Yoon KL, Zetsche U. Cognitive inhibition in depression. Appl Prev Psychol. (2007) 12(3):128–39. 10.1016/j.appsy.2007.09.002
    1. Plewnia C, Schroeder PA, Wolkenstein L. Targeting the biased brain: non-invasive brain stimulation to ameliorate cognitive control. Lancet Psychiatry. (2015) 2(4):351–6. 10.1016/S2215-0366(15)00056-5
    1. Roiser JP, Elliott R, Sahakian BJ. Cognitive mechanisms of treatment in depression. Neuropsychopharmacology. (2012) 37(1):117–36. 10.1038/npp.2011.183
    1. Gratz KL, Weiss NH, Tull MT. Examining emotion regulation as an outcome, mechanism, or target of psychological treatments. Curr Opin Psychol. (2015) 3:85–90. 10.1016/j.copsyc.2015.02.010
    1. Grinberg A, Egglefield DA, Schiff S, Motter JN, Sneed JR. Computerized cognitive training: a review of mechanisms, methodological considerations, and application to research in depression. J Cogn Enhanc. (2021) 5(3):359–71. 10.1007/s41465-021-00209-4
    1. Motter JN, Pimontel MA, Rindskopf D, Devanand DP, Doraiswamy PM, Sneed JR. Computerized cognitive training and functional recovery in major depressive disorder: a meta-analysis. J Affect Disord. (2016) 189:184–91. 10.1016/j.jad.2015.09.022
    1. Vander Zwalmen Y, Hoorelbeke K, Liebaert E, Nève de Mévergnies C, Koster EHW. Cognitive remediation for depression vulnerability: current challenges and new directions. Front Psychol. (2022) 13:903446. 10.3389/fpsyg.2022.903446
    1. Browning M, Holmes EA, Charles M, Cowen PJ, Harmer CJ. Using attentional bias modification as a cognitive vaccine against depression. Biol Psychiatry. (2012) 72(7):572–9. 10.1016/j.biopsych.2012.04.014
    1. Browning M, Holmes EA, Harmer CJ. The modification of attentional bias to emotional information: a review of the techniques, mechanisms, and relevance to emotional disorders. Cogn Affect Behav Neurosci. (2010) 10(1):8–20. 10.3758/CABN.10.1.8
    1. Clark L, Chamberlain SR, Sahakian BJ. Neurocognitive mechanisms in depression: implications for treatment. Annu Rev Neurosci. (2009) 32(1):57–74. 10.1146/annurev.neuro.31.060407.125618
    1. Gober CD, Lazarov A, Bar-Haim Y. From cognitive targets to symptom reduction: overview of attention and interpretation bias modification research. Evid Based Ment Health. (2021) 24(1):42–6. 10.1136/ebmental-2020-300216
    1. Cramer SC, Sur M, Dobkin BH, O’Brien C, Sanger TD, Trojanowski JQ, et al. Harnessing neuroplasticity for clinical applications. Brain. (2011) 134(6):1591–609. 10.1093/brain/awr039
    1. Legemaat AM, Semkovska M, Brouwer M, Geurtsen GJ, Burger H, Denys D, et al. Effectiveness of cognitive remediation in depression: a meta-analysis. Psychol Med. (2021) 1–16. 10.1017/S0033291721001100. [Epub ahead of print]
    1. Woolf C, Lampit A, Shahnawaz Z, Sabates J, Norrie LM, Burke D, et al. A systematic review and meta-analysis of cognitive training in adults with major depressive disorder. Neuropsychol Rev. (2021) 32(2):419–37. 10.1007/s11065-021-09487-3
    1. Clemenson GD, Stark CEL. Virtual environmental enrichment through video games improves hippocampal-associated memory. J Neurosci. (2015) 35(49):16116–25. 10.1523/JNEUROSCI.2580-15.2015
    1. Abe M, Schambra H, Wassermann EM, Luckenbaugh D, Schweighofer N, Cohen LG. Reward improves long-term retention of a motor memory through induction of offline memory gains. Curr Biol. (2011) 21(7):557–62. 10.1016/j.cub.2011.02.030
    1. Schulz A, Miehl C, Berry MJ, II, Gjorgjieva J. The generation of cortical novelty responses through inhibitory plasticity. eLife. (2021) 10:e65309. 10.7554/eLife.65309
    1. Nitsche MA, Roth A, Kuo MF, Fischer AK, Liebetanz D, Lang N, et al. Timing-dependent modulation of associative plasticity by general network excitability in the human motor cortex. J Neurosci. (2007) 27(14):3807–12. 10.1523/JNEUROSCI.5348-06.2007
    1. Siegle GJ, Price RB, Jones NP, Ghinassi F, Painter T, Thase ME. You gotta work at it: pupillary indices of task focus are prognostic for response to a neurocognitive intervention for rumination in depression. Clin Psychol Sci. (2014) 2(4):455–71. 10.1177/2167702614536160
    1. Vervaeke J, Looy JV, Hoorelbeke K, Baeken C, Koster EH. Gamified cognitive control training for remitted depressed individuals: user requirements analysis. JMIR Serious Games. (2018) 6(2):e6. 10.2196/games.8609
    1. Gronwall DMA. Paced auditory serial-addition task: a measure of recovery from concussion. Percept Mot Skills. (1977) 44(2):367–73. 10.2466/pms.1977.44.2.367
    1. Calkins AW, McMorran KE, Siegle GJ, Otto MW. The effects of computerized cognitive control training on community adults with depressed mood. Behav Cogn Psychother. (2015) 43(05):578–89. 10.1017/S1352465814000046
    1. Koster EHW, Hoorelbeke K, Onraedt T, Owens M, Derakshan N. Cognitive control interventions for depression: a systematic review of findings from training studies. Clin Psychol Rev. (2017) 53:79–92. 10.1016/j.cpr.2017.02.002
    1. Lass ANS, Rokke PD, Winer ES. Evaluating cognitive control training on symptoms of depression over time: three potential mechanisms. J Affect Disord Rep. (2021) 4:100127. 10.1016/j.jadr.2021.100127
    1. Siegle GJ, Ghinassi F, Thase ME. Neurobehavioral therapies in the 21st century: summary of an emerging field and an extended example of cognitive control training for depression. Cognit Ther Res. (2007) 31(2):235–62. 10.1007/s10608-006-9118-6
    1. Holdwick DJ, Jr, Wingenfeld SA. The subjective experience of PASAT testing: does the PASAT induce negative mood? Arch Clin Neuropsychol. (1999) 14(3):273–84. 10.1093/arclin/14.3.273
    1. Tombaugh TN. A comprehensive review of the paced auditory serial addition test (PASAT). Arch Clin Neuropsychol. (2006) 21(1):53–76. 10.1016/j.acn.2005.07.006
    1. Plewnia C, Schroeder PA, Kunze R, Faehling F, Wolkenstein L. Keep calm and carry on: improved frustration tolerance and processing speed by transcranial direct current stimulation (tDCS). PLoS One. (2015) 10(4):e0122578. 10.1371/journal.pone.0122578
    1. Wiegand A, Sommer A, Nieratschker V, Plewnia C. Improvement of cognitive control and stabilization of affect by prefrontal transcranial direct current stimulation (tDCS). Sci Rep. (2019) 9(1):6797. 10.1038/s41598-019-43234-2
    1. Wiegand A, Blickle A, Brückmann C, Weller S, Nieratschker V, Plewnia C. Dynamic DNA methylation changes in the COMT gene promoter region in response to mental stress and its modulation by transcranial direct current stimulation. Biomolecules. (2021) 11(11):1726. 10.3390/biom11111726
    1. Dykens IT, Wetzel A, Dorton SL, Batchelor E. Towards a unified model of gamification and motivation. In: Sottilare RA, Schwarz J, editors. Adaptive instructional systems design and evaluation. Cham: Springer International Publishing; (2021). p. 53–70. (Lecture Notes in Computer Science).
    1. Sailer M, Hense J, Mandl H, Klevers M. Psychological perspectives on motivation through gamification. Interact Des Archit J. (2014) 19:28–37.
    1. Garris R, Ahlers R, Driskell JE. Games, motivation, and learning: a research and practice model. Simul Gaming. (2002) 33(4):441–67. 10.1177/1046878102238607
    1. de Freitas S, Jarvis S. A framework for developing serious games to meet learner needs. In: de Freitas S, Jarvis S, editors the interservice/industry training, simulation / education conference (I/ITSEC), 4–7 December, Orlando, Florida. Orlando, Florida; (2006) [cited 2022 Sep 12]. Available from:
    1. Wilson KA, Bedwell WL, Lazzara EH, Salas E, Burke CS, Estock JL, et al. Relationships between game attributes and learning outcomes: review and research proposals. Simul Gaming. (2009) 40(2):217–66. 10.1177/1046878108321866
    1. Miner JB. Organizational Behavior: Essential theories of motivation and leadership. one. M.E. Sharpe (2005). 442 p.
    1. Montgomery SA, Åsberg M. A new depression scale designed to be sensitive to change. Br J Psychiatry. (1979) 134(4):382–9. 10.1192/bjp.134.4.382
    1. Hengartner MP, Jakobsen JC, Sørensen A, Plöderl M. Efficacy of new-generation antidepressants assessed with the Montgomery-Asberg Depression Rating Scale, the gold standard clinician rating scale: a meta-analysis of randomised placebo-controlled trials. PLoS ONE. (2020) 15(2):e0229381. 10.1371/journal.pone.0229381
    1. Rush AJ, Gullion CM, Basco MR, Jarrett RB, Trivedi MH. The Inventory of Depressive Symptomatology (IDS): psychometric properties. Psychol Med. (1996) 26(3):477–86. 10.1017/S0033291700035558
    1. Rush AJ, Carmody T, Reimitz PE. The Inventory of Depressive Symptomatology (IDS): Clinician (IDS-C) and Self-Report (IDS-SR) ratings of depressive symptoms. Int J Method Psychiat Res. (2000) 9(2):45–59. 10.1002/mpr.79
    1. Topp CW, Østergaard SD, Søndergaard S, Bech P. The WHO-5 well-being index: a systematic review of the literature. PPS. (2015) 84(3):167–76. 10.1159/000376585
    1. Armonk, NY: IBM Corp. IBM SPSS Statistics for Windows, Version 24.0.0.1. 2016 Released.
    1. R Core Team. R: A language and environment for statistical computing. Vienna, Austria: R Foundation for Statistical Computing; (2018). Available from:
    1. Turkoz I, Alphs L, Singh J, Jamieson C, Daly E, Shawi M, et al. Clinically meaningful changes on depressive symptom measures and patient-reported outcomes in patients with treatment-resistant depression. Acta Psychiatr Scand. (2021) 143(3):253–63. 10.1111/acps.13260
    1. Rock PL, Roiser JP, Riedel WJ, Blackwell AD. Cognitive impairment in depression: a systematic review and meta-analysis. Psychol Med. (2014) 44(10):2029–40. 10.1017/S0033291713002535
    1. Rose EJ, Ebmeier KP. Pattern of impaired working memory during major depression. J Affect Disord. (2006) 90(2):149–61. 10.1016/j.jad.2005.11.003
    1. Nilsson J, Thomas AJ, Stevens LH, McAllister-Williams RH, Ferrier IN, Gallagher P. The interrelationship between attentional and executive deficits in major depressive disorder. Acta Psychiatr Scand. (2016) 134(1):73–82. 10.1111/acps.12570
    1. Nuño L, Gómez-Benito J, Carmona VR, Pino O. A systematic review of executive function and information processing speed in Major depression disorder. Brain Sci. (2021) 11(2):147. 10.3390/brainsci11020147
    1. Hammar Å, Strand M, Årdal G, Schmid M, Lund A, Elliott R. Testing the cognitive effort hypothesis of cognitive impairment in major depression. Nord J Psychiatry. (2011) 65(1):74–80. 10.3109/08039488.2010.494311
    1. Cheng VWS, Davenport T, Johnson D, Vella K, Hickie IB. Gamification in apps and technologies for improving mental health and well-being: systematic review. JMIR Ment Health. (2019) 6(6):e13717. 10.2196/13717
    1. Moshe I, Terhorst Y, Philippi P, Domhardt M, Cuijpers P, Cristea I, et al. Digital interventions for the treatment of depression: a meta-analytic review. Psychol Bull. (2021) 147(8):749–86. 10.1037/bul0000334
    1. Six SG, Byrne KA, Tibbett TP, Pericot-Valverde I. Examining the effectiveness of gamification in mental health apps for depression: systematic review and meta-analysis. JMIR Ment Health. (2021) 8(11):e32199. 10.2196/32199
    1. Wulf G, Lewthwaite R. Optimizing performance through intrinsic motivation and attention for learning: the OPTIMAL theory of motor learning. Psychon Bull Rev. (2016) 23(5):1382–414. 10.3758/s13423-015-0999-9
    1. Kentner AC, Lambert KG, Hannan AJ, Donaldson ST. Editorial: environmental enrichment: enhancing neural plasticity, resilience, and repair. Front Behav Neurosci. (2019) 13:75. 10.3389/fnbeh.2019.00075
    1. Hoorelbeke K, Koster EHW. Internet-delivered cognitive control training as a preventive intervention for remitted depressed patients: evidence from a double-blind randomized controlled trial study. J Consult Clin Psychol. (2017) 85(2):135–46. 10.1037/ccp0000128
    1. Ferrari GRA, Vanderhasselt MA, Rinck M, Demeyer I, De Raedt R, Beisel S, et al. A cognitive control training as add-on treatment to usual care for depressed inpatients. Cogn Ther Res. (2021) 45(5):929–43. 10.1007/s10608-020-10197-y
    1. Vajawat B, Varshney P, Banerjee D. Digital gaming interventions in psychiatry: evidence, applications and challenges. Psychiatry Res. (2021) 295:113585. 10.1016/j.psychres.2020.113585

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