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Strategies to Promote Cognitive Health in Aging: Recent Evidence and Innovations

  • Geriatric Disorders (JA Cheong, Section Editors)
  • Published:
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Abstract

Purpose of Review

We review recent work on applications of non-pharmacologic strategies to promote cognitive health in older adulthood and discuss potential network mechanisms, limitations, and considerations for improving intervention uptake and efficacy.

Recent Findings

In healthy older adults and patients with mild cognitive impairment, cognitive training produces global and domain-specific cognitive gains, though effect sizes tend to be modest and transfer is variable. Non-invasive brain stimulation has shown moderate success in enhancing cognitive function, though the optimum approach, parameters, and cortical targets require further investigation. Physical activity improves cognitive functions in late life, with emerging trials highlighting key intervention components that may maximize treatment outcomes. Multimodal interventions may be superior to single-component interventions in conferring cognitive gains, although interpretation is limited by modest sample sizes and variability in training components and parameters. Across modalities, individual differences in patient characteristics predict therapeutic response. These interventions may advance cognitive health by modulating functional networks that support core cognitive abilities including the default mode, executive control, and salience networks.

Summary

Effectiveness of cognitive enhancement strategies may be increased with clinician-led coaching, booster sessions, gamification, integration of multiple intervention modalities, and concrete applications to everyday functioning. Future trials involving rigorous comparisons of training components, parameters, and delivery formats will be essential in establishing the precise approaches needed to maximize cognitive outcomes. Novel studies using patient-level clinical and neuroimaging features to predict individual differences in training gains may inform the development of personalized intervention prescriptions to optimize cognitive health in late life.

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References

Papers of particular interest, published recently, have been highlighted as: • Of importance •• Of major importance

  1. Salthouse TA. Trajectories of normal cognitive aging. Psychol Aging. American Psychological Association; 2019;34:17–24.

  2. Ferreira LK, Busatto GF. Resting-state functional connectivity in normal brain aging. Neurosci Biobehav Rev. 2013;384–400.

  3. Ng KK, Lo JC, Lim JKW, Chee MWL, Zhou J. Reduced functional segregation between the default mode network and the executive control network in healthy older adults: a longitudinal study. Neuroimage. 2016;133:321–30.

    Article  PubMed  Google Scholar 

  4. Tetlow AM, Edwards JD. Systematic literature review and meta-analysis of commercially available computerized cognitive training among older adults. J Cogn Enhanc. 2017. https://doi.org/10.1007/s41465-017-0051-2.

    Article  Google Scholar 

  5. Basak C, Qin S, O’Connell MA. Differential effects of cognitive training modules in healthy aging and mild cognitive impairment: a comprehensive meta-analysis of randomized controlled trials. Psychol Aging. 2020;35:220–49.

    Article  PubMed  PubMed Central  Google Scholar 

  6. Chiu H-L, Chu H, Tsai J-C, Liu D, Chen Y-R, Yang H-L, et al. The effect of cognitive-based training for the healthy older people: a meta-analysis of randomized controlled trials. 2017. https://doi.org/10.1371/journal.pone.0176742

  7. •• Zhang H, Huntley J, Bhome R, Holmes B, Cahill J, Gould RL, et al. Effect of computerised cognitive training on cognitive outcomes in mild cognitive impairment: a systematic review and meta-analysis. BMJ Open. 2019;9:e027062–e027062. This recent meta-analysis of randomized controlled trials demonstrates the favorable effects of cognitive training on multiple domains of cognitive functioning in individuals with mild cognitive impairment.

  8. Hu M, Wu X, Shu X, Hu H, Chen Q, Peng L, et al. Effects of computerised cognitive training on cognitive impairment: a meta‑analysis. J Neurol. Springer Berlin Heidelberg; 2021;268:1680–8.

  9. Anguera JA, Boccanfuso J, Rintoul JL, Al-Hashimi O, Faraji F, Janowich J, et al. Video game training enhances cognitive control in older adults. Nature. 2013. https://doi.org/10.1038/nature12486.

    Article  PubMed  PubMed Central  Google Scholar 

  10. •• Duda BM, Sweet LH. Functional brain changes associated with cognitive training in healthy older adults: a preliminary ALE meta-analysis. Brain Imaging Behav. 2020;14:1247–1262. This comprehensive meta-analysis used likelihood activation estimation to evaluate the network mechanisms of cognitive training in healthy older adults, and demonstrates training-induced changes in the executive control network.

  11. Cao W, Cao X, Hou C, Li T, Cheng Y, Jiang L, et al. Effects of cognitive training on resting-state functional connectivity of default mode, salience, and central executive networks. Front Aging Neurosci. 2016;8:1–11.

    Article  Google Scholar 

  12. Simon SS, Hampstead BM, Nucci MP, Duran FLS, Fonseca LM, Martin MDGM, et al. Cognitive and brain activity changes after mnemonic strategy training in amnestic mild cognitive impairment: evidence from a randomized controlled trial. Front Aging Neurosci. 2018;10:1–17.

  13. Nguyen L, Murphy K, Andrews G. Cognitive and neural plasticity in old age: a systematic review of evidence from executive functions cognitive training. Ageing Res Rev. 2019. https://doi.org/10.1016/j.arr.2019.100912.

    Article  PubMed  Google Scholar 

  14. Miró-Padilla A, Bueichekú E, Ávila C. Locating neural transfer effects of n -back training on the central executive: a longitudinal fMRI study. Sci Rep. 2020;10:1–11.

    Article  Google Scholar 

  15. Miró-Padilla A, Bueichekú E, Ventura-campos N, Flores-Compan M-J, Parcet MA, Avila C. Long-term brain effects of N-back training: an fMRI study. Brain Imaging Behav [Internet]. Brain Imaging and Behavior; 2019;13:1115–27.

  16. Damoiseaux JS. Effects of aging on functional and structural brain connectivity. Neuroimage. 2017. https://doi.org/10.1016/j.neuroimage.2017.01.077.

    Article  PubMed  Google Scholar 

  17. Hampstead BM, Stringer AY, Stilla RF, Sathian K. Mnemonic strategy training increases neocortical activation in healthy older adults and patients with mild cognitive impairment. Int J Psychophysiol. 2020. https://doi.org/10.1016/j.ijpsycho.2019.04.011.

    Article  PubMed  Google Scholar 

  18. Barban F, Mancini M, Cercignani M, Adriano F, Perri R, Annicchiarico R, et al. A pilot study on brain plasticity of functional connectivity modulated by cognitive training in mild Alzheimer’s disease and mild cognitive impairment. Brain Sci. 2017;7.

  19. Park J, Kim S, Kim E, Lee BI, Jeong JH, Na HR, et al. Effect of 12-week home-based cognitive training on cognitive function and brain metabolism in patients with amnestic mild cognitive impairment. Clin Interv Aging. 2019;14:1167–75.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  20. Nguyen L, Murphy K, Andrews G. A game a day keeps cognitive decline away? A systematic review and meta-analysis of commercially-available brain training programs in healthy and cognitively impaired older adults. Neuropsychol Rev. 2021;1–30.

  21. Bahar-Fuchs A, Webb S, Bartsch L, Clare L, Rebok G, Cherbuin N, et al. Tailored and adaptive computerized cognitive training in older adults at risk for dementia : a randomized controlled trial. J Alzheimer’s Dis. 2017;60:889–911.

    Article  Google Scholar 

  22. Jaywant A, Steinberg C, Lee A, Toglia J. Feasibility and acceptability of the multicontext approach for individuals with acquired brain injury in acute inpatient rehabilitation: a single case series. Neuropsychol Rehabil. 2020;1–20.

  23. Koivisto J, Malik A. Gamification for older adults: a systematic literature review. Gerontologist. 2021;61:e345–57.

    Article  Google Scholar 

  24. Vermeir JF, White MJ, Johnson D, Crombez G, Van Ryckeghem DML. The effects of gamification on computerized cognitive training: systematic review and meta-analysis. JMIR Serious Games. 2020;8:e18644–e18644.

    Article  PubMed  PubMed Central  Google Scholar 

  25. Bonnechère B, Klass M, Langley C, Sahakian BJ. Brain training using cognitive apps can improve cognitive performance and processing speed in older adults. Sci Rep. 2021;11:1–11.

    Article  Google Scholar 

  26. Anguera JA, Gunning FM, Areán PA. Improving late life depression and cognitive control through the use of therapeutic video game technology: a proof-of-concept randomized trial. Depress Anxiety. 2017;34:508–17.

    Article  PubMed  PubMed Central  Google Scholar 

  27. Gunning FM, Anguera JA, Victoria LW, Areán PA. A digital intervention targeting cognitive control network dysfunction in middle age and older adults with major depression. Transl Psychiatry. 2021;11.

  28. Savulich G, Piercy T, Fox C, Suckling J, Rowe JB, O’Brien JT, et al. Cognitive training using a novel memory game on an iPad in patients with amnestic mild cognitive impairment (aMCI). 2017;20:624–33.

    Google Scholar 

  29. Czaja SJ, Kallestrup P, Harvey PD. Evaluation of a novel technology-based program designed to assess and train everyday skills in older adults. Innov Aging. 2020;4:1–10.

    Google Scholar 

  30. Boller B, Ouellet É, Belleville S. Using virtual reality to assess and promote transfer of memory training in older adults with memory complaints: a randomized controlled trial. Front Psychol. 2021;12.

  31. Manenti R, Gobbi E, Baglio F, Macis A, Ferrari C, Pagnoni I, et al. Effectiveness of an innovative cognitive treatment and telerehabilitation on subjects with mild cognitive impairment: a multicenter, randomized, active-controlled study. Front Aging Neurosci. 2020;12:400.

    Article  Google Scholar 

  32. Felix LM, Mansur-Alves M, Teles M, Jamison L, Golino H. Longitudinal impact and effects of booster sessions in a cognitive training program for healthy older adults. Arch Gerontol Geriatr. 2021. https://doi.org/10.1016/j.archger.2021.104337.

    Article  PubMed  Google Scholar 

  33. Huo L, Zhu X, Zheng Z, Ma J, Ma Z, Gui W, et al. Effects of transcranial direct current stimulation on episodic memory in older adults: a meta-analysis. J Gerontol - Ser B Psychol Sci Soc Sci. Gerontological Society of America; 2021;76:692–702.

  34. Fileccia E, Di Stasi V, Poda R, Rizzo G, Stanzani-Maserati M, Oppi F, et al. Effects on cognition of 20-day anodal transcranial direct current stimulation over the left dorsolateral prefrontal cortex in patients affected by mild cognitive impairment: a case-control study. Neurol Sci. 2019;40:1865–72.

    Article  PubMed  Google Scholar 

  35. Gonzalez PC, Fong KNK, Brown T. The effects of transcranial direct current stimulation on the cognitive functions in older adults with mild cognitive impairment: a pilot study. Behav Neurol. Hindawi Limited; 2018.

  36. Arciniega H, Gözenman F, Jones KT, Stephens JA, Berryhill ME. Frontoparietal tDCS benefits visual working memory in older adults with Low working memory capacity. Front Aging Neurosci. Frontiers Media S.A.; 2018;10:57.

  37. Šimko P, Pupíková M, Gajdoš M, Rektorová I. Cognitive aftereffects of acute tDCS coupled with cognitive training: an fMRI study in healthy seniors. Neural Plast. Hindawi Limited; 2021;2021.

  38. •• Chou YH, That VT, Sundman M. A systematic review and meta-analysis of rTMS effects on cognitive enhancement in mild cognitive impairment and Alzheimer’s disease. Neurobiol. Aging. Elsevier Inc.; 2020. p. 1–10. This systemtic review and meta-analysis demonstrates a medium-to-large effect of rTMS on cognitive function in individuals with mild cognitive impairment, and highlights distinct stimulation targets that may preferrentially effect different cognitive domains.

  39. Jiang L, Cui H, Zhang C, Cao X, Gu N, Zhu Y, et al. Repetitive transcranial magnetic stimulation for improving cognitive function in patients with mild cognitive impairment: a systematic review. Front. Aging Neurosci. Frontiers Media S.A.; 2021; 12:477.

  40. Di Rosa E, Brigadoi S, Cutini S, Tarantino V, Dell’Acqua R, Mapelli D, et al. Reward motivation and neurostimulation interact to improve working memory performance in healthy older adults: a simultaneous tDCS-fNIRS study. Neuroimage. Academic Press Inc.; 2019;116062.

  41. He F, Li Y, Li C, Fan L, Liu T, Wang J. Repeated anodal high-definition transcranial direct current stimulation over the left dorsolateral prefrontal cortex in mild cognitive impairment patients increased regional homogeneity in multiple brain regions. PLoS One. Public Library of Science; 2021;e0256100.

  42. Cui H, Ren R, Lin G, Zou Y, Jiang L, Wei Z, et al. Repetitive transcranial magnetic stimulation induced hypoconnectivity within the default mode network yields cognitive improvements in amnestic mild cognitive impairment: a randomized controlled study. J Alzheimer’s Dis IOS Press. 2019;69:1137–51.

    Google Scholar 

  43. Vaqué-Alcázar L, Abellaneda-Pérez K, Solé-Padullés C, Bargalló N, Valls-Pedret C, Ros E, et al. Functional brain changes associated with cognitive trajectories determine specific tDCS-induced effects among older adults. J Neurosci Res. John Wiley and Sons Inc; 2021;99:2188–200.

  44. Hayek D, Antonenko D, Witte AV, Lehnerer SM, Meinzer M, Külzow N, et al. Impact of COMT val158met on tDCS-induced cognitive enhancement in older adults. Behav Brain Res. Elsevier B.V.; 2021;401.

  45. •• Beynel L, Davis SW, Crowell CA, Hilbig SA, Lim W, Nguyen D, et al. Online repetitive transcranial magnetic stimulation during working memory in younger and older adults: a randomized within-subject comparison. PLoS One. Public Library of Science; 2019;4(13). This study is among the first to pair neuronavigational tools with functional imaging to increase the accuracy of neurostimulation target sites on an individual-level in older adults.

  46. Nissim NR, O’Shea A, Indahlastari A, Kraft JN, von Mering O, Aksu S, et al. Effects of transcranial direct current stimulation paired with cognitive training on functional connectivity of the working memory network in older adults. Front Aging Neurosci. Frontiers Media S.A.; 2019;11.

  47. Horne KS, Filmer HL, Nott ZE, Hawi Z, Pugsley K, Mattingley JB, et al. Evidence against benefits from cognitive training and transcranial direct current stimulation in healthy older adults. Nat Hum Behav Nature Research. 2021;5:146–58.

    Article  Google Scholar 

  48. Yu J, Lam CLM, Man ISC, Shao R, Lee TMC. Multi-session anodal prefrontal transcranial direct current stimulation does not improve executive functions among older adults. J Int Neuropsychol Soc. Cambridge University Press; 2020;26:372–81.

  49. Krebs C, Peter J, Wyss P, Brem AK, Klöppel S. Transcranial electrical stimulation improves cognitive training effects in healthy elderly adults with low cognitive performance. Clin Neurophysiol Elsevier Ireland Ltd. 2021;132:1254–63.

    Article  Google Scholar 

  50. Klink K, Peter J, Wyss P, Klöppel S. Transcranial electric current stimulation during associative memory encoding: comparing tACS and tDCS effects in healthy aging. Front Aging Neurosci. Frontiers Media S.A.; 2020;12.

  51. •• Erickson KI, Hillman C, Stillman CM, Ballard RM, Bloodgood B, Conroy DE, et al. Physical activity, cognition, and brain outcomes: a review of the 2018 physical activity guidelines. Med Sci Sports Exerc. 2019;1242–51. This substantial review was conducted for the Health and Human Services Physical Activity Guidelines Committee and summarizes the magnitude of physical activity effects on cognition in older adulthood, the domain-specificity of gains, and the parameters necessary to achieve the greatest cognitive improvements.

  52. Stillman CM, Esteban-Cornejo I, Brown B, Bender CM, Erickson KI. Effects of exercise on brain and cognition across age groups and health states. Trends Neurosci. 2020. https://doi.org/10.1016/j.tins.2020.04.010.

    Article  PubMed  PubMed Central  Google Scholar 

  53. • Northey JM, Cherbuin N, Pumpa KL, Smee DJ, Rattray B. Exercise interventions for cognitive function in adults older than 50: a systematic review with meta-Analysis. Br J Sports Med. 2018. https://doi.org/10.1136/bjsports-2016-096587. This comprehensive meta-analysis of randomized controlled exercise interventions highlights several training parameters that may maximize cognitive gains in older adults and inform clinical recommendations.

  54. Zheng G, Xia R, Zhou W, Tao J, Chen L. Aerobic exercise ameliorates cognitive function in older adults with mild cognitive impairment: a systematic review and meta-analysis of randomised controlled trials. Br J Sports Med. 2016;1443–50.

  55. Song D, Yu DSF. Effects of a moderate-intensity aerobic exercise programme on the cognitive function and quality of life of community-dwelling elderly people with mild cognitive impairment: a randomised controlled trial. Int J Nurs Stud. 2019. https://doi.org/10.1016/j.ijnurstu.2019.02.019.

    Article  PubMed  Google Scholar 

  56. Thomas BP, Tarumi T, Sheng M, Tseng B, Womack KB, Munro Cullum C, et al. Brain perfusion change in patients with mild cognitive impairment after 12 months of aerobic exercise training. J Alzheimer’s Dis. 2020;75:617–31.

    Article  Google Scholar 

  57. Hsu CL, Best JR, Davis JC, Nagamatsu LS, Wang S, Boyd LA, et al. Aerobic exercise promotes executive functions and impacts functional neural activity among older adults with vascular cognitive impairment. Br J Sports Med. 2018;52:184–91.

    Article  PubMed  Google Scholar 

  58. Song D, Yu DSF, Li PWC, Lei Y. The effectiveness of physical exercise on cognitive and psychological outcomes in individuals with mild cognitive impairment: a systematic review and meta-analysis. Int J Nurs Stud. 2018;155–64.

  59. Law CK, Lam FM, Chung RC, Pang MY. Physical exercise attenuates cognitive decline and reduces behavioural problems in people with mild cognitive impairment and dementia: a systematic review. J Physiother. 2020;66:9–18.

    Article  PubMed  Google Scholar 

  60. Sanders LMJ, Hortobágyi T, Gemert SLBV, Van Der Zee EA, Van Heuvelen MJG. Dose-response relationship between exercise and cognitive function in older adults with and without cognitive impairment: a systematic review and meta-analysis. PLoS One. 2019; https://doi.org/10.1371/journal.pone.0210036

  61. Gomes-Osman J, Cabral DF, Morris TP, McInerney K, Cahalin LP, Rundek T, et al. Exercise for cognitive brain health in aging: a systematic review for an evaluation of dose. Neurol Clin Pract. 2018;8:257–65.

    Article  PubMed  PubMed Central  Google Scholar 

  62. Netz Y. Is there a preferred mode of exercise for cognition enhancement in older age?—a narrative review. Front Med. Frontiers; 2019;6:57.

  63. Barha CK, Davis JC, Falck RS, Nagamatsu LS, Liu-Ambrose T. Sex differences in exercise efficacy to improve cognition: a systematic review and meta-analysis of randomized controlled trials in older humans. Front Neuroendocrinol. 2017;71–85.

  64. Jonasson LS, Nyberg L, Kramer AF, Lundquist A, Riklund K, Boraxbekk CJ. Aerobic exercise intervention, cognitive performance, and brain structure: results from the physical influences on brain in aging (PHIBRA) study. Front Aging Neurosci. Frontiers; 2017;8:336.

  65. Firth J, Stubbs B, Vancampfort D, Schuch F, Lagopoulos J, Rosenbaum S, et al. Effect of aerobic exercise on hippocampal volume in humans: a systematic review and meta-analysis. Neuroimage. 2018. https://doi.org/10.1016/j.neuroimage.2017.11.007.

    Article  PubMed  Google Scholar 

  66. Frodl T, Strehl K, Carballedo A, Tozzi L, Doyle M, Amico F, et al. Aerobic exercise increases hippocampal subfield volumes in younger adults and prevents volume decline in the elderly. Brain Imaging Behav. 2020. https://doi.org/10.1007/s11682-019-00088-6.

    Article  PubMed  Google Scholar 

  67. Erickson KI, Prakash RS, Voss MW, Chaddock L, Hu L, Morris KS, et al. Aerobic fitness is associated with hippocampal volume in elderly humans. Hippocampus. 2009;19:1030–9.

    Article  PubMed  PubMed Central  Google Scholar 

  68. Firth J, Stubbs B, Vancampfort D, Neuroimage FS-U. Effect of aerobic exercise on hippocampal volume in humans: a systematic review and meta-analysis. Neuroimage. 2018;166:230–8.

  69. Erickson KI, Voss MW, Prakash RS, Basak C, Szabo A, Chaddock L, et al. Exercise training increases size of hippocampus and improves memory. Proc Natl Acad Sci U S A. 2011;108:3017–22.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  70. Prehn K, Lesemann A, Krey G, Witte AV, Köbe T, Grittner U, et al. Using resting-state fMRI to assess the effect of aerobic exercise on functional connectivity of the DLPFC in older overweight adults. Brain Cogn. 2019;131:34–44.

    Article  PubMed  Google Scholar 

  71. Flodin P, Jonasson LS, Riklund K, Nyberg L, Boraxbekk CJ. Does aerobic exercise influence intrinsic brain activity? An aerobic exercise intervention among healthy old adults. Front Aging Neurosci. 2017;9.

  72. Nystoriak MA, Bhatnagar A. Cardiovascular effects and benefits of exercise. Front Cardiovasc Med. Frontiers Media SA; 2018;5:135.

  73. • Islam MR, Valaris S, Young MF, Haley EB, Luo R, Bond SF, et al. Exercise hormone irisin is a critical regulator of cognitive function. Nat Metab. Nature Research; 2021;3;1058–1070. This study identifies irisin as a key regulator of the cognitive benefits of exercise, which may serve as a promising therapeutic agent to optimize exercise effects in aging.

  74. Du Y, Liu B, Sun Y, Snetselaar LG, Wallace RB, Bao W. Trends in adherence to the physical activity guidelines for Americans for aerobic activity and time spent on sedentary behavior among US adults, 2007 to 2016. JAMA Netw Open [Internet]. American Medical Association; 2019;2:e197597–e197597.

  75. Anderson-Hanley C, Barcelos NM, Zimmerman EA, Gillen RW, Dunnam M, Cohen BD, et al. The Aerobic and Cognitive Exercise Study (ACES) for community-dwelling older adults with or at-risk for mild cognitive impairment (MCI): Neuropsychological, neurobiological and neuroimaging outcomes of a randomized clinical trial. Front Aging Neurosci. Frontiers; 2018;10:76.

  76. Yen HY, Chiu HL. Virtual reality exergames for improving older adults’ cognition and depression: a systematic review and meta-analysis of randomized control trials. J Am Med Dir Assoc. 2021. https://doi.org/10.1016/j.jamda.2021.03.009.

    Article  PubMed  Google Scholar 

  77. • Ten Brinke LF, Best JR, Chan JLC, Ghag C, Erickson KI, Handy TC, et al. The effects of computerized cognitive training with and without physical exercise on cognitive function in older adults: an 8-week randomized controlled trial. J Gerontol - Ser A Biol Sci Med Sci. 2020;75:755–763. This recent randomized controlled trial in healthy older adults illustrates the potential for combined cognitive and physical activity interventions to produce broader and more pronounced cognitive benefits compared to single-modality interventions.

  78. Sipilä S, Tirkkonen A, Savikangas T, Hänninen T, Laukkanen P, Alen M, et al. Effects of physical and cognitive training on gait speed and cognition in older adults: a randomized controlled trial. Scand J Med Sci Sport. 2021;31:1518–33.

    Article  Google Scholar 

  79. Combourieu Donnezan L, Perrot A, Belleville S, Bloch F, Kemoun G. Effects of simultaneous aerobic and cognitive training on executive functions, cardiovascular fitness and functional abilities in older adults with mild cognitive impairment. Ment Health Phys Act [Internet]. Elsevier. 2018;15:78–87.

    Google Scholar 

  80. Karssemeijer EGA, Aaronson JA, Bossers WJ, Smits T, Olde Rikkert MGM, Kessels RPC. Positive effects of combined cognitive and physical exercise training on cognitive function in older adults with mild cognitive impairment or dementia: a meta-analysis. Ageing Res Rev. 2017. https://doi.org/10.1016/j.arr.2017.09.003.

    Article  PubMed  Google Scholar 

  81. Castells-Sánchez A, Roig-Coll F, Lamonja-Vicente N, Altés-Magret M, Torán-Monserrat P, Via M, et al. Effects and mechanisms of cognitive, aerobic exercise, and combined training on cognition, health, and brain outcomes in physically inactive older adults: the projecte moviment protocol. Front Aging Neurosci. 2019;11:1–14.

    Article  Google Scholar 

  82. Fabel K, Wolf SA, Ehninger D, Babu H, Leal-Galicia P, Kempermann G. Additive effects of physical exercise and environmental enrichment on adult hippocampal neurogenesis in mice. Front Neurosci. 2009;3:1–7.

    Google Scholar 

  83. Olson AK, Eadie BD, Ernst C, Christie BR. Environmental enrichment and voluntary exercise massively increase neurogenesis in the adult hippocampus via dissociable pathways. Hippocampus. 2006;250–60.

  84. Yu F, Lin FV, Salisbury DL, Shah KN, Chow L, Vock D, et al. Efficacy and mechanisms of combined aerobic exercise and cognitive training in mild cognitive impairment: Study protocol of the ACT trial. Trials. 2018. https://doi.org/10.1186/s13063-018-3054-0.

    Article  PubMed  PubMed Central  Google Scholar 

  85. Gavelin HM, Dong C, Minkov R, Bahar-Fuchs A, Ellis KA, Lautenschlager NT, et al. Combined physical and cognitive training for older adults with and without cognitive impairment: a systematic review and network meta-analysis of randomized controlled trials. Ageing Res Rev. 2021. https://doi.org/10.1016/j.arr.2020.101232.

    Article  PubMed  Google Scholar 

  86. Barha CK, Davis JC, Falck RS, Nagamatsu LS, Liu-Ambrose T. Sex differences in exercise efficacy to improve cognition: a systematic review and meta-analysis of randomized controlled trials in older humans. Front Neuroendocrinol. 2017. https://doi.org/10.1016/j.yfrne.2017.04.002.

    Article  PubMed  Google Scholar 

  87. Morris JK, Vidoni ED, Johnson DK, Van Sciver A, Mahnken JD, Honea RA, et al. Aerobic exercise for Alzheimer’s disease: a randomized controlled pilot trial. PLoS One. 2017;12.

  88. Gujral S, McAuley E, Oberlin LE, Kramer AF, Erickson KI. Role of brain structure in predicting adherence to a physical activity regimen. Psychosom Med. 2018;80.

  89. Faraza S, Waldenmaier J, Dyrba M, Wolf D, Fischer FU, Knaepen K, et al. Dorsolateral Prefrontal functional connectivity predicts working memory training gains. Front Aging Neurosci. 2021;13.

  90. Gallen CL, Esposito MD. Brain modularity: a biomarker of intervention-related plasticity. Trends Cogn Sci Elsevier Ltd. 2019;23:293–304.

    Article  Google Scholar 

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Oberlin, L.E., Jaywant, A., Wolff, A. et al. Strategies to Promote Cognitive Health in Aging: Recent Evidence and Innovations. Curr Psychiatry Rep 24, 441–450 (2022). https://doi.org/10.1007/s11920-022-01348-x

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