Mechanisms of processing speed training and transfer effects across the adult lifespan: protocol of a multi-site cognitive training study
Tóm tắt
Từ khóa
Tài liệu tham khảo
Craik FIM, Bialystok E. Cognition through the lifespan: mechanisms of change. Trends Cogn Sci. 2006;10(3):131–8.
Diehl M. Everyday competence in later life: current status and future directions. Gerontologist. 1998;38(4):422–33.
von Bastian CC, Belleville S, Udale RC, Reinhartz A, Essounni M, Strobach T. Mechanisms underlying training-induced cognitive change. Nat Rev Psychol. 2022;1(1):30–41.
von Bastian CC, Langer N, Jäncke L, Oberauer K. Effects of working memory training in young and old adults. Mem Cognit. 2013;41(4):611–24.
De Simoni C, von Bastian CC. Working memory updating and binding training: Bayesian evidence supporting the absence of transfer. J Exp Psychol Gen. 2018;147(6):829–58.
Guye S, von Bastian CC. Working memory training in older adults: Bayesian evidence supporting the absence of transfer. Psychol Aging. 2017;32(8):732–46.
Edwards JD, Fausto BA, Tetlow AM, Corona RT, Valdés EG. Systematic review and meta-analyses of useful field of view cognitive training. Neurosci Biobehav Rev. 2018;84:72–91.
Strobach T, Karbach J. Cognitive training an overview of features and applications. Berlin: Springer; 2021.
Kail R, Salthouse TA. Processing speed as a mental capacity. Acta Physiol. 1994;86(2–3):199–225.
Schmiedek F, Oberauer K, Wilhelm O, Süß H-M, Wittmann WW. Individual differences in components of reaction time distributions and their relations to working memory and intelligence. J Exp Psychol Gen. 2007;136(3):414–29.
Sheppard LD, Vernon PA. Intelligence and speed of information-processing: a review of 50 years of research. Personal Individ Differ. 2008;44(3):535–51.
Salthouse TA. The processing-speed theory of adult age differences in cognition. Psychol Rev. 1996;103(3):403–28.
Strobach T. The dual-task practice advantage: Empirical evidence and cognitive mechanisms. Psychon Bull Rev. 2020;27(1):3–14.
Takeuchi H, Kawashima R. Effects of processing speed training on cognitive functions and neural systems. Rev Neurosci. 2012;23(3):289–301.
Bier B, Ouellet É, Belleville S. Computerized attentional training and transfer with virtual reality: effect of age and training type. Neuropsychology. 2018;32(5):597–614.
von Bastian CC, Blais C, Brewer GA, Gyurkovics M, Hedge C, Kałamała P, et al. Advancing the understanding of individual differences in attentional control: theoretical, methodological, and analytical considerations. (manuscript in preparation) 2020.
Cepeda NJ, Blackwell KA, Munakata Y. Speed isn’t everything: complex processing speed measures mask individual differences and developmental changes in executive control. Dev Sci. 2013;16(2):269–86.
Koch I, Poljac E, Müller H, Kiesel A. Cognitive structure, flexibility, and plasticity in human multitasking—an integrative review of dual-task and task-switching research. Psychol Bull. 2018;144(6):557–83.
von Bastian CC, Druey MD. Shifting between mental sets: an individual differences approach to commonalities and differences of task switching components. J Exp Psychol Gen. 2017;146(9):1266–85.
Kiesel A, Steinhauser M, Wendt M, Falkenstein M, Jost K, Philipp AM, et al. Control and interference in task switching—a review. Psychol Bull. 2010;136(5):849–74.
Strobach T, Frensch P, Müller H, Schubert T. Evidence for the acquisition of dual-task coordination skills in older adults. Acta Physiol (Oxf). 2015;160:104–16.
Schubert A-L, Frischkorn GT, Hagemann D, Voss A. Trait characteristics of diffusion model parameters. J Intell. 2016;4(3):Article 7.
Ratcliff R, Thapar A, McKoon G. A diffusion model analysis of the effects of aging on recognition memory. J Mem Lang. 2004;50(4):408–24.
Schmitz F, Voss A. Decomposing task-switching costs with the diffusion model. J Exp Psychol Humand Percept Perform. 2012;38(1):222–50.
Lerche V, von Krause M, Voss A, Frischkorn GT, Schubert A-L, Hagemann D. Diffusion modeling and intelligence: drift rates show both domain-general and domain-specific relations with intelligence. J Exp Psychol Gen. 2020;149(12):2207–49.
Green CS, Bavelier D, Kramer AF, Vinogradov S, Ansorge U, Ball KK, et al. Improving methodological standards in behavioral interventions for cognitive enhancement. J Cognit Enhanc. 2019;3(1):2–29.
von Bastian CC, Oberauer K. Effects and mechanisms of working memory training: a review. Psychol Res. 2014;78(6):803–20.
von Bastian CC, Guye S, De Simoni C. How strong is the evidence for the effectiveness of working memory training? In: Bunting MF, Novick JM, Dougherty MR, Engle RW, editors. Cognitive and working memory training: perspectives from psychology, neuroscience, and human development. Newyork: Oxford University Press; 2020. p. 58–78.
Nasreddine ZS, Phillips NA, Bédirian V, Charbonneau S, Whitehead V, Collin I, et al. The Montreal Cognitive Assessment, MoCA: a brief screening tool for mild cognitive impairment. J Am Geriatr Soc. 2005;53(4):695–9.
Kievit RA, Brandmaier AM, Ziegler G, van Harmelen A-L, de Mooji SMM, Moutoussis M, et al. Developmental cognitive neuroscience using latent change score models: a tutorial and applications. Dev Cogn Neurosci. 2018;33:99–117.
Guye S, De Simoni C, von Bastian CC. Do individual differences predict change in cognitive training performance? A latent growth curve modeling approach. J Cognit Enhanc. 2017;1(4):374–93.
Lövdén M, Brehmer Y, Li S-C, Lindenberger U. Training-induced compensation versus magnification of individual differences in memory performance. Front Hum Neurosci. 2012;6:141.
Schönbrodt FD, Perugini M. At what sample size do correlations stabilize? J Res Pers. 2013;47(5):609–12.
von Bastian CC, Souza AS, Gade M. No evidence for bilingual cognitive advantages: a test of four hypotheses. J Exp Psychol Gen. 2016;145(2):246–58.
von Bastian CC, Locher A, Ruflin M. Tatool: a Java-based open-source programming framework for psychological studies. Behav Res Methods. 2013;45(1):108–15.
von Bastian CC, Eschen A. Does working memory training have to be adaptive? Psychol Res. 2016;80:1818–2194.
von Bastian CC, Oberauer K. Distinct transfer effects of training different facets of working memory capacity. J Mem Lang. 2013;69:36–58.
Strobach T, Huestegge L. Evaluating the effectiveness of commercial brain game training with working-memory tasks. J Cognit Enhanc. 2017;1:539–58.
Snodgrass JG, Vanderwart M. A standardized set of 260 pictures: norms for name agreement, image agreement, familiarity, and visual complexity. J Exp Psychol Hum Learn Memory. 1980;6(2):174–215.
Szekely A, Jacobsen T, D’Amico S, Devescovi A, Andonova E, Herron D, et al. A new on-line resource for psycholinguistic studies. J Mem Lang. 2004;51(2):247–50.
Miyake A, Friedman NP, Emerson MJ, Witzki AH, Howerter A. The unity and diversity of executive functions and their contributions to complex “frontal lobe” tasks: a latent variable analysis. Cogn Psychol. 2000;41(1):49–100.
Oberauer K. Binding and inhibition in working memory: Individual and age differences in short-term recognition. J Exp Psychol Gen. 2005;134(3):368–87.
Fougnie D, Alvarez GA. Object features fail independently in visual working memory: evidence for a probabilistic feature-store model. J Vis. 2011;11(12):3.
Zhang W, Luck SJ. Discrete fixed-resolution representations in visual working memory. Nature. 2008;453(7192):233–5.
Bays PM, Catalao RFG, Masud H. The precision of visual working memory is set by allocation of a shared resource. J Vis. 2009;9(10):Article 7.
Chuderski A, Taraday M, Nęcka E, Smoleń T. Storage capacity explains fluid intelligence but executive control does not. Intelligence. 2012;40(3):278–95.
Salthouse TA, Meinz EJ. Aging, inhibition, working memory, and speed. J Gerontol B Psychol Sci Soc Sci. 1995;50B(6):297–306.
Raven JC. Advanced progressive matrices: sets I, II. Oxford: Oxford Psychologists Press; 1990.
Arthur W Jr, Day DV. Development of a short form for the Raven advanced progressive matrices test. Educ Psychol Measur. 1994;54(2):394–403.
Arthur W Jr, Tubre TC, Paul DS, Sanchez-Ku ML. College-sample psychometric and normative data on a short form of the Raven advanced progressive matrices test. J Psychoeduc Assess. 1999;17:354–61.
Ekstrom RB, French JW, Harman HH, Dermen D. Manual for kit of factor-referenced cognitive tests. Princeton: Educational Testing Service; 1976.
Broadbent DE, Cooper PF, FitzGerald P, Parkes KR. The Cognitive Failures Questionnaire (CFQ) and its correlates. Br J Clin Psychol. 1982;21(1):1–16.
Klumb PL. Cognitive failures and performance differences: Validation studies of a German version of the cognitive failures questionnaire. Ergonomics. 1995;38(7):1456–67.
Fluckiger J. Pensées intrusives, inhibition, impulsivité et souvenirs involontaires: Master thesis, University of Geneva; 2009.
Van der Linden M, Wyns C, Coyette F, von Frenckel R, Seron X. Un questionnaire d'auto-évaluation de la mémoire (QAM): Editest; 1989.
Clement F, Belleville S, Gauthier S. Cognitive complaint in mild cognitive impairment and Alzheimer’s disease. J Int Neuropsychol Soc. 2008;14(2):222–32.
Willis SL, Marsiske M. Manual for the Everyday Problems Test: Department of Human Development and Family Studies, Pennsylvania State University; 1993.
Boot WR, Charness N, Czaja SJ, Sharit J, Rogers WA, Fisk AD, et al. Computer proficiency questionnaire: assessing low and high computer proficient seniors. Gerontologist. 2015;55(3):404–11.
Wolinsky FD, Mahncke H, Vander Weg MW, Martin R, Unverzagt FW, Ball KK, et al. Speed of processing training protects self-rated health in older adults: enduring effects observed in the multi-site ACTIVE randomized controlled trial. Int Psychogeriatr. 2010;22(3):470–8.
Lovibond PF, Lovibond SH. The structure of negative emotional states: comparison of the Depression Anxiety Stress Scales (DASS) with the Beck Depression and Anxiety Inventories. Behav Res Ther. 1995;33(3):335–43.
Henry JD, Crawford JR. The short-form version of the Depression Anxiety Stress Scales (DASS-21): construct validity and normative data in a large non-clinical sample. Br J Clin Psychol. 2005;44(2):227–39.
Ramasawmy S. Validation of the "French Depression Anxiety Stress Scales" (DASS-21) and predictors of depression in an adolescent Mauritian population: Doctoral Dissertation, Aix-Marseille Université; 2015.
Galasko D, Bennett DA, Sano M, Marson D, Kaye J, Edland SD, et al. ADCS Prevention Instrument Project: assessment of instrumental activities of daily living for community-dwelling elderly individuals in dementia prevention clinical trials. Alzheimer Dis Assoc Disord. 2006;20(4 Suppl 3):S152–69.
Vemuri P, Lesnick TG, Przybelski SA, Knopman DS, Roberts RO, Lowe VJ, et al. Effect of lifestyle activities on Alzheimer disease biomarkers and cognition. Ann Neurol. 2012;72(5):730–8.
Ross LA, Freed SA, Edwards JD, Phillips CB, Ball K. The impact of three cognitive training programs on driving cessation across 10 years: a randomized controlled trial. Gerontologist. 2017;57(5):838–46.
John OP, Srivastava S. The Big Five trait taxonomy: History, measurement, and theoretical perspectives. In: Pervin LA, John OP, editors. Handbook of personality: theory and research. Guilford Press: New York; 1999. p. 102–38.
Rammstedt B, Danner D. Die Facettenstruktur des Big Five Inventory (BFI): Validierung für die deutsche Adaptation des BFI. Diagnostica. 2017;63(1):70–84.
Plaisant O, Courtois R, Réveillère C, Mendelsohn GA, John OP. Validation par analyse factorielle du Big Five Inventory Français (BFI-Fr). Analyse convergente avec le NEO-PI-R. Annales Médico-Psychologiques. 2010;168(2):97–106.
Duckworth ALQ, Quinn DP. Development and validation of the Short Grit Scale (GRIT–S). J Personal Assess. 2009;91(2):166–74.
Schmidt FTC, Fleckenstein J, Retelsdorf J, Eskreis-Winkler L, Möller J. Measuring grit. Eur J Psychol Assess. 2019;35(3):436–47.
Dweck CS. Self-theories: their role in motivation, personality, and development. Philadelphia: Psychology Press; 1999.
Bandura A. Guide for constructing self-efficacy scales. In: Pajares F, Urdan T, editors. Self-efficacy beliefs of adolescents. 5: Information Age Publishing; 2006.
Schwarzer R, Jerusalem M. Generalized self-efficacy scale. In: Weinman J, Wright S, Johnston M, editors. Measures in health psychology: a user’s portfolio Causal and control beliefs. NFER-NELSON: Berkshire; 1995. p. 35–7.
Schwarzer R, Jerusalem M. Skalen zur Erfassung von Lehrer- und Schülermerkmalen. Dokumentation der psychometrischen Verfahren im Rahmen der Wissenschaftlichen Begleitung des Modellversuchs Selbstwirksame Schulen.: Freie Universität Berlin; 1999.
Dumont M, Schwarzer R, Jerusalem M. French Adaptation of the General Self-Efficacy Scale 2000 [Available from: http://userpage.fu-berlin.de/health/french.htm.
Åkerstedt T, Hume K, Minors D, Waterhouse J. The subjective meaning of good sleep, an intraindividual approach using the Karolinska Sleep Diary. Percept Mot Skills. 1994;79(1):287–96.
Könen T, Dirk J, Schmiedek F. Cognitive benefits of last night’s sleep: daily variations in children’s sleep behavior are related to working memory fluctuations. J Child Psychol Psychiatry. 2015;56(2):171–82.
Röcke C, Li S-C, Smith J. Intraindividual variability in positive and negative affect over 45 days: Do older adults fluctuate less than young adults? Psychol Aging. 2009;24(4):863–78.
Brose A, Schmiedek F, Lövdén M, Lindenberger U. Daily variability in working memory is coupled with negative affect: the role of attention and motivation. Emotion. 2012;12(3):605–17.
Steyer R, Schwenkmezger P, Notz P, Eid M. Der Mehrdimensionale Befindlichkeitsfragebogen. Gottingen: Hogrefe; 1997.
Wilhelm P, Schoebi D. Assessing mood in daily life: Structural validity, sensitivity to change, and reliability of a short-scale to measure three basic dimensions of mood. Eur J Psychol Assess. 2007;23(4):258–67.
Lischetzke T, Cuccodoro G, Gauger A, Todeschini L, Eid M. Measuring affective clarity indirectly: individual differences in response latencies of state. Emotion. 2005;5(4):431–45.
Wagenmakers E-J, Van Der Maas HLJ, Grasman RPPP. An EZ-diffusion model for response time and accuracy. Psychon Bull Rev. 2007;14:3–22.
Wagenmakers E-J, van Der Maas HLJ, Dolan CV, Grasman RPPP. EZ does it! Extensions of the EZ-diffusion model. Psychon Bull Rev. 2008;15:1229–35.
van Ravenzwaaij D, Donkin C, Vandekerckhove J. The EZ diffusion model provides a powerful test of simple empirical effects. Psychon Bull Rev. 2017;24(2):547–56.
Wiecki TV, Sofer I, Frank MJ. HDDM: hierarchical bayesian estimation of the drift-diffusion model in python. Front Neuroinform. 2013;7:14.
Schmiedek F, Lövden M, Lindenberger U. Hundred days of cognitive training enhance broad cognitive abilities in adulthood: findings from the COGITO study. Front Aging Neurosci. 2010;2(27):1–10.
Wetzels R, Wagenmakers E-J. A default Bayesian hypothesis test for correlations and partial correlations. Psychon Bull Rev. 2012;19:1057–64.
Hu L-T, Bentler PM. Cutoff criteria for fit indexes in covariance structure analysis: conventional criteria versus new alternatives. Struct Equ Model. 1999;6(1):1–55.
Simons DJ, Boot WR, Charness N, Gathercole SE, Chabris CF, Hambrick DZ, et al. Do “brain-training” programs work? Psychol Sci Public Interest. 2016;17(3):103–86.
WHO. Global strategy and action plan on ageing and health. Geneva: World Health Organization; 2017.