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Functional brain changes associated with cognitive training in healthy older adults: A preliminary ALE meta-analysis

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Abstract

Accumulating evidence suggests that cognitive training (CT) programs may provide healthy older adults (OAs) with cognitive benefits that are accompanied by alterations in neural activity. The current review offers the first quantitative synthesis of the available literature on the neural effects of CT in healthy aging. It was hypothesized that OAs would evidence increased and decreased neural activations across various challenging CTs, and that these effects would be observed as significantly altered clusters within regions of the frontoparietal network (FPN). Online databases and reference lists were searched to identify peer-reviewed publications that reported assessment of neural changes associated with CT programs in healthy OAs. Among the 2097 candidate studies identified, 14 studies with a total of 238 participants met inclusionary criteria. GingerALE software was used to quantify neural effects in a whole-brain analysis. The activation likelihood estimation technique revealed significant increases in activation following CT in the left hemisphere middle frontal gyrus, precentral gyrus, and posterior parietal cortex, extending to the superior occipital gyrus. Two clusters of diminished neural activity following CT were identified within the right hemisphere middle frontal gyrus and supramarginal gyrus, extending to the superior temporal gyrus. These results provide preliminary evidence of common neural effects of different CT interventions within regions of the FPN. Findings may inform future investigations of neuroplasticity across the lifespan, including clinical applications of CT, such as assessing treatment outcomes.

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References

  • Abutalebi, J., Canini, M., Della Rosa, P. A., Sheung, L. P., Green, D. W., & Weekes, B. S. (2014). Bilingualism protects anterior temporal lobe integrity in aging. Neurobiology of Aging, 35(9), 2126–2133.

    Article  PubMed  Google Scholar 

  • Alzheimer’s Association. (2014). Alzheimer’s disease facts and figures. Alzheimer’s & Dementia, 10(2), e47–e92.

  • Anguera, J. A., Boccanfuso, J., Rintoul, J. L., Al-Hashimi, O., Faraji, F., Janowich, J., et al. (2013). Video game training enhances cognitive control in older adults. Nature, 501(7465), 97–101.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  • Anticevic, A., Repovs, G., Shulman, G. L., & Barch, D. M. (2010). When less is more: TPJ and default network deactivation during encoding predicts working memory performance. NeuroImage, 49(3), 2638–2648.

    Article  PubMed  Google Scholar 

  • Bäckman, L., Almkvist, O., Andersson, J., Nordberg, A., Windblad, B., Rineck, R., et al. (1997). Brain activation in young and older adults during implicit and explicit retrieval. Journal of Cognitive Neuroscience, 9, 378–391.

    Article  PubMed  Google Scholar 

  • Bäckman, L., Small, B. J., & Wahlin, A. (2001). Aging and memory. Handbook of the Psychology of Aging, 349–377.

  • Bahar-Fuchs, A., Clare, L., & Woods, B. (2013). Cognitive training and cognitive rehabilitation for mild to moderate Alzheimer's disease and vascular dementia. The Cochrane Library.

  • Balardin, J. B., Batistuzzo, M., Moraes Martin, M. D. G., Sato, J., Smid, J., Porto, C., et al. (2015). Differences in prefrontal cortex activation and deactivation during strategic episodic verbal memory encoding in mild cognitive impairment. Frontiers in Aging Neuroscience, 7, 147.

    Article  PubMed  PubMed Central  Google Scholar 

  • Ball, K., Berch, D. B., Helmers, K. F., Jobe, J. B., Leveck, M. D., Marsiske, M., et al. (2002). Effects of cognitive training interventions with older adults: A randomized controlled trial. JAMA, 288(18), 2271–2281.

    Article  PubMed  PubMed Central  Google Scholar 

  • Balota, D. A., Dolan, P. O., & Duchek, J. M. (2000). Memory changes in healthy older adults. The Oxford Handbook of Memory, 395–409.

  • Bamidis, P. D., Vivas, A. B., Styliadis, C., Frantzidis, C., Klados, M., Schlee, W., Siountas, A., & Papageorgiou, S. G. (2014). A review of physical and cognitive interventions in aging. Neuroscience & Biobehavioral Reviews, 44, 206–220.

    Article  CAS  Google Scholar 

  • Barr, R., & Giambra, L. (2000). Age-related decrement in auditory selective attention. Psychology of Aging, 5(4), 597–599.

    Article  Google Scholar 

  • Barulli, D., & Stern, Y. (2013). Efficiency, capacity, compensation, maintenance, plasticity: Emerging concepts in cognitive reserve. Trends in Cognitive Sciences, 17(10), 502–509.

    Article  PubMed  Google Scholar 

  • Belleville, S., & Bherer, L. (2012). Biomarkers of cognitive training effects in aging. Current Translational Geriatrics and Experimental Gerontology Reports, 1(2), 104–110.

    Article  PubMed  PubMed Central  Google Scholar 

  • Belleville, S., Clement, F., Mellah, S., Gilbert, B., Fontaine, F., & Gauthier, S. (2011). Training-related brain plasticity in subjects at risk of developing Alzheimer’s disease. Brain, 134(6), 1623–1634.

    Article  PubMed  Google Scholar 

  • Belleville, S., Mellah, S., de Boysson, C., Demonet, J. F., & Bier, B. (2014). The pattern and loci of training-induced brain changes in healthy older adults are predicted by the nature of the intervention. PLoS One, 9(8), e102710.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  • Berlucchi, G., & Buchtel, H. A. (2009). Neuronal plasticity: Historical roots and evolution of meaning. Experimental Brain Research, 192(3), 307–319.

    Article  CAS  PubMed  Google Scholar 

  • Berry, A. S., Zanto, T. P., Clapp, W. C., Hardy, J. L., Delahunt, P. B., Mahncke, H. W., & Gazzaley, A. (2010). The influence of perceptual training on working memory in older adults. PLoS One, 5(7), e11537.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  • Bherer, L. (2015). Cognitive plasticity in older adults: Effects of cognitive training and physical exercise. Annals of the New York Academy of Sciences, 1337(1), 1–6.

    Article  PubMed  Google Scholar 

  • Bier, B., Mellah, S., & Belleville, S. (2017). Timecourse of brain and cognitive changes following two types of attentional training programs: A three-time points fMRI intervention study in older adults. Alzheimer's & Dementia: The Journal of the Alzheimer's Association, 13(7), P893.

    Google Scholar 

  • Bosch, B., Bartrés-Faz, D., Rami, L., Arenaza-Urquijo, E. M., Fernández-Espejo, D., Junqué, C., et al. (2010). Cognitive reserve modulates task-induced activations and deactivations in healthy elders, amnestic mild cognitive impairment and mild Alzheimer’s disease. Cortex, 46(4), 451–461.

    Article  PubMed  Google Scholar 

  • Boyke, J., Driemeyer, J., Gaser, C., Büchel, C., & May, A. (2008). Training-induced brain structure changes in the elderly. Journal of Neuroscience, 28(28), 7031–7035.

    Article  CAS  PubMed  Google Scholar 

  • Braunlich, K., Gomez-Lavin, J., & Seger, C. A. (2015). Frontoparietal networks involved in categorization and item working memory. NeuroImage, 107, 146–162.

    Article  PubMed  Google Scholar 

  • Brehmer, Y., Rieckmann, A., Bellander, M., Westerberg, H., Fischer, H., & Bäckman, L. (2011). Neural correlates of training-related working-memory gains in old age. Neuroimage, 58(4), 1110–1120.

    Article  PubMed  Google Scholar 

  • Brehmer, Y., Kalpouzos, G., Wenger, E., & Lövdén, M. (2014). Plasticity of brain and cognition in older adults. Psychological Research, 78(6), 790–802.

    Article  PubMed  Google Scholar 

  • Braver, T. S., Paxton, J. L., Locke, H. S., & Barch, D. M. (2009). Flexible neural mechanisms of cognitive control within human prefrontal cortex. Proceedings of the National Academy of Sciences, 106(18), 7351–7356.

    Article  CAS  Google Scholar 

  • Brown, S., Ingham, R. J., Ingham, J. C., Laird, A. R., & Fox, P. T. (2005). Stuttered and fluent speech production: An ALE meta-analysis of functional neuroimaging studies. Human Brain Mapping, 25(1), 105–117.

    Article  PubMed  PubMed Central  Google Scholar 

  • Buckner, R. L. (2004). Memory and executive function in aging and AD: Multiple factors that cause decline and reserve factors that compensate. Neuron, 44, 195–208.

    Article  CAS  PubMed  Google Scholar 

  • Buneo, C. A., & Andersen, R. A. (2006). The posterior parietal cortex: Sensorimotor interface for the planning and online control of visually guided movements. Neuropsychologia, 44(13), 2594–2606.

    Article  PubMed  Google Scholar 

  • Buschkuehl, M., Jaeggi, S. M., & Jonides, J. (2012). Neuronal effects following working memory training. Developmental Cognitive Neuroscience, 2, S167–S179.

    Article  PubMed  Google Scholar 

  • Buschman, T. J., & Miller, E. K. (2007). Top-down versus bottom-up control of attention in the prefrontal and posterior parietal cortices. Science, 315(5820), 1860–1862.

    Article  CAS  PubMed  Google Scholar 

  • Bussey, T. J., & Saksida, L. M. (2007). Memory, perception, and the ventral visual-perirhinal-hippocampal stream: Thinking outside of the boxes. Hippocampus, 17(9), 898–908.

    Article  CAS  PubMed  Google Scholar 

  • Cabeza, R. (2002). Hemispheric asymmetry reduction in older adults: The HAROLD model. Psychology and Aging, 17(1), 85–100.

    Article  PubMed  Google Scholar 

  • Campbell, K. L., Grady, C. L., Ng, C., & Hasher, L. (2012). Age differences in the frontoparietal cognitive control network: Implications for distractibility. Neuropsychologia, 50(9), 2212–2223.

    Article  PubMed  PubMed Central  Google Scholar 

  • Chapman, S. B., Spence, J. S., Aslan, S., & Keebler, M. W. (2017). Enhancing innovation and underlying neural mechanisms via cognitive training in healthy older adults. Frontiers in Aging Neuroscience, 9, 314.

    Article  PubMed  PubMed Central  Google Scholar 

  • Charness, N. (2008). Aging and human performance. Human Factors, 50, 548–555.

    Article  PubMed  Google Scholar 

  • Chirles, T. J., Reiter, K., Weiss, L. R., Alfini, A. J., Nielson, K. A., & Smith, J. C. (2017). Exercise training and functional connectivity changes in mild cognitive impairment and healthy elders. Journal of Alzheimer's Disease, 57(3), 845–856.

    Article  PubMed  Google Scholar 

  • Ciaramelli, E., Grady, C. L., & Moscovitch, M. (2008). Top-down and bottom-up attention to memory: A hypothesis (AtoM) on the role of the posterior parietal cortex in memory retrieval. Neuropsychologia, 46(7), 1828–1851.

    Article  PubMed  Google Scholar 

  • Clare, L., & Woods, R. T. (2004). Cognitive training and cognitive rehabilitation for people with early-stage Alzheimer's disease: A review. Neuropsychological Rehabilitation, 14(4), 385–401.

    Article  Google Scholar 

  • Colcombe, S., & Kramer, A. F. (2003). Fitness effects on the cognitive function of older adults: A meta-analytic study. Psychological Science, 14(2), 125–130.

    Article  PubMed  Google Scholar 

  • Cole, M. W., & Schneider, W. (2007). The cognitive control network: Integrated cortical regions with dissociable functions. NeuroImage, 37(1), 343–360.

    Article  PubMed  Google Scholar 

  • Cole, M. W., Reynolds, J. R., Power, J. D., Repovs, G., Anticevic, A., & Braver, T. S. (2013). Multi-task connectivity reveals flexible hubs for adaptive task control. Nature Neuroscience, 16(9), 1348–1355.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  • Costafreda, S. G. (2009). Pooling fMRI data: Meta-analysis, mega-analysis and multi-center studies. Frontiers in Neuroinformatics, 3, 33.

    Article  PubMed  PubMed Central  Google Scholar 

  • Dahlin, E., Nyberg, L., Bäckman, L., & Neely, A. S. (2008). Plasticity of executive functioning in young and older adults: Immediate training gains, transfer, and long-term maintenance. Psychology and Aging, 23(4), 720–730.

    Article  PubMed  Google Scholar 

  • Davis, R. N., Massman, P. J., & Doody, R. S. (2001). Cognitive intervention in Alzheimer disease: A randomized placebo-controlled study. Alzheimer Disease & Associated Disorders, 15(1), 1–9.

    Article  CAS  Google Scholar 

  • Davis, H. P., Small, S. A., Stern, Y., Mayeux, R., Feldstein, S. N., & Keller, F. R. (2003). Acquisition, recall, and forgetting of verbal information in long-term memory by young, middle-aged, and elderly individuals. Cortex, 39(4), 1063–1091.

    Article  PubMed  Google Scholar 

  • Deschamps, I., Baum, S. R., & Gracco, V. L. (2014). On the role of the supramarginal gyrus in phonological processing and verbal working memory: Evidence from rTMS studies. Neuropsychologia, 53, 39–46.

    Article  PubMed  Google Scholar 

  • Doyon, J., & Benali, H. (2005). Reorganization and plasticity in the adult brain during learning of motor skills. Current Opinion in Neurobiology, 15(2), 161–167.

    Article  CAS  PubMed  Google Scholar 

  • Doyon, J., Penhune, V., & Ungerleider, L. G. (2003). Distinct contribution of the cortico-striatal and cortico-cerebellar systems to motor skill learning. Neuropsychologia, 41(3), 252–262.

    Article  PubMed  Google Scholar 

  • Duda, B., Puente, A. N., & Miller, L. S. (2014). Cognitive reserve moderates relation between global cognition and functional status in older adults. Journal of Clinical and Experimental Neuropsychology, 36(4), 368–378.

    Article  PubMed  Google Scholar 

  • Duncan, J. (2010). The multiple-demand (MD) system of the primate brain: Mental programs for intelligent behaviour. Trends in Cognitive Sciences, 14(4), 172–179.

    Article  PubMed  Google Scholar 

  • Dux, P. E., Tombu, M. N., Harrison, S., Rogers, B. P., Tong, F., & Marois, R. (2009). Training improves multitasking performance by increasing the speed of information processing in human prefrontal cortex. Neuron, 63(1), 127–138.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  • Eickhoff, S. B., Laird, A. R., Grefkes, C., Wang, L. E., Zilles, K., & Fox, P. T. (2009). Coordinate-based activation likelihood estimation meta-analysis of neuroimaging data: A random-effects approach based on empirical estimates of spatial uncertainty. Human Brain Mapping, 30(9), 2907–2926.

    Article  PubMed  PubMed Central  Google Scholar 

  • Eickhoff, S. B., Bzdok, D., Laird, A. R., Kurth, F., & Fox, P. T. (2012). Activation likelihood estimation meta-analysis revisited. NeuroImage, 59(3), 2349–2361.

    Article  PubMed  Google Scholar 

  • Elman, J. A., Oh, H., Madison, C. M., Baker, S. L., Vogel, J. W., Marks, S. M., et al. (2014). Neural compensation in older people with brain amyloid-[beta] deposition. Nature Neuroscience, 17(10), 1316–1318.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  • Engvig, A., Fjell, A. M., Westlye, L. T., Moberget, T., Sundseth, Ø., Larsen, V. A., & Walhovd, K. B. (2010). Effects of memory training on cortical thickness in the elderly. Neuroimage, 52(4), 1667–1676.

    Article  PubMed  Google Scholar 

  • Erickson, K. I., Colcombe, S. J., Wadhwa, R., Bherer, L., Peterson, M. S., Scalf, P. E., et al. (2007). Training-induced plasticity in older adults: Effects of training on hemispheric asymmetry. Neurobiology of Aging, 28(2), 272–283.

    Article  PubMed  Google Scholar 

  • Erickson, K. I., Boot, W. R., Basak, C., Neider, M. B., Prakash, R. S., Voss, M. W., et al. (2010). Striatal volume predicts level of video game skill acquisition. Cerebral Cortex, 20(11), 2522–2530.

    Article  PubMed  PubMed Central  Google Scholar 

  • Fair, D. A., Dosenbach, N. U., Church, J. A., Cohen, A. L., Brahmbhatt, S., Miezin, F. M., et al. (2007). Development of distinct control networks through segregation and integration. Proceedings of the National Academy of Sciences, 104(33), 13507–13512.

    Article  CAS  Google Scholar 

  • Filkowski, M. M., Olsen, R. M., Duda, B., Wanger, T. J., & Sabatinelli, D. (2017). Sex differences in emotional perception: Meta-analysis of divergent activation. NeuroImage, 147, 925–933.

    Article  PubMed  Google Scholar 

  • Fink, A., Benedek, M., Koschutnig, K., Pirker, E., Berger, E., Meister, S., et al. (2015). Training of verbal creativity modulates brain activity in regions associated with language-and memory-related demands. Human Brain Mapping, 36(10), 4104–4115.

    Article  PubMed  PubMed Central  Google Scholar 

  • Fjell, A. M., Walhovd, K. B., Fennema-Notestine, C., McEvoy, L. K., Hagler, D. J., Holland, D., et al. (2009). One-year brain atrophy evident in healthy aging. Journal of Neuroscience, 29(48), 15223–15231.

    Article  CAS  PubMed  Google Scholar 

  • Fox, M. D., Snyder, A. Z., Vincent, J. L., Corbetta, M., Van Essen, D. C., & Raichle, M. E. (2005). The human brain is intrinsically organized into dynamic, anticorrelated functional networks. Proceedings of the National Academy of Sciences, 102(27), 9673–9678.

    Article  CAS  Google Scholar 

  • Frank, D. W., Dewitt, M., Hudgens-Haney, M., Schaeffer, D. J., Ball, B. H., Schwarz, N. F., et al. (2014). Emotion regulation: Quantitative meta-analysis of functional activation and deactivation. Neuroscience & Biobehavioral Reviews, 45, 202–211.

    Article  CAS  Google Scholar 

  • Gaab, N., Gaser, C., & Schlaug, G. (2006). Improvement-related functional plasticity following pitch memory training. NeuroImage, 31(1), 255–263.

    Article  PubMed  Google Scholar 

  • Garavan, H., Kelley, D., Rosen, A., Rao, S. M., & Stein, E. A. (2000). Practice-related functional activation changes in a working memory task. Microscopy Research and Technique, 51(1), 54–63.

    Article  CAS  PubMed  Google Scholar 

  • Gates, N., & Valenzuela, M. (2010). Cognitive exercise and its role in cognitive function in older adults. Current Psychiatry Reports, 12(1), 20–27.

    Article  PubMed  Google Scholar 

  • Gates, N. J., Sachdev, P. S., Singh, M. A. F., & Valenzuela, M. (2011). Cognitive and memory training in adults at risk of dementia: A systematic review. BMC Geriatrics, 11(1), 55.

    Article  PubMed  PubMed Central  Google Scholar 

  • Geerligs, L., Maurits, N. M., Renken, R. J., & Lorist, M. M. (2014). Reduced specificity of functional connectivity in the aging brain during task performance. Human Brain Mapping, 35(1), 319–330.

    Article  PubMed  Google Scholar 

  • Goh, J. O. (2011). Functional dedifferentiation and altered connectivity in older adults: Neural accounts of cognitive aging. Aging and Disease, 2(1), 30.

    PubMed  PubMed Central  Google Scholar 

  • Gold, B. T., Powell, D. K., Xuan, L., Jicha, G. A., & Smith, C. D. (2010). Age-related slowing of task switching is associated with decreased integrity of frontoparietal white matter. Neurobiology of Aging, 31(3), 512–522.

    Article  PubMed  Google Scholar 

  • Grady, C. L. (2012). The cognitive neuroscience of ageing. Nature Reviews Neuroscience, 13(7), 491–505.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  • Hartwigsen, G., Baumgaertner, A., Price, C. J., Koehnke, M., Ulmer, S., & Siebner, H. R. (2010). Phonological decisions require both the left and right supramarginal gyri. Proceedings of the National Academy of Sciences, 107(38), 16494–16499.

    Article  CAS  Google Scholar 

  • Haug, H., & Eggers, R. (1991). Morphometry of the human cortex cerebri and corpus striatum during aging. Neurobiology of Aging, 12(4), 336–338.

    Article  CAS  PubMed  Google Scholar 

  • Hedden, T., & Gabrieli, J. D. (2004). Insights into the ageing mind: A view from cognitive neuroscience. Nature Reviews Neuroscience, 5(2), 87–96.

    Article  CAS  PubMed  Google Scholar 

  • Heinzel, S., Schulte, S., Onken, J., Duong, Q. L., Riemer, T. G., Heinz, A., et al. (2014). Working memory training improvements and gains in non-trained cognitive tasks in young and older adults. Aging, Neuropsychology, and Cognition, 21(2), 146–173.

    Article  Google Scholar 

  • Heinzel, S., Metzger, F. G., Ehlis, A. C., Korell, R., Alboji, A., Haeussinger, F. B., et al. (2015). Age and vascular burden determinants of cortical hemodynamics underlying verbal fluency. PLoS One, 10(9), e0138863.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  • Heinzel, S., Lorenz, R. C., Pelz, P., Heinz, A., Walter, H., Kathmann, N., et al. (2016). Neural correlates of training and transfer effects in working memory in older adults. Neuroimage, 134, 236–249.

    Article  PubMed  Google Scholar 

  • Hempel, A., Giesel, F. L., Garcia Caraballo, N. M., Amann, M., Meyer, H., Wüstenberg, T., et al. (2004). Plasticity of cortical activation related to working memory during training. American Journal of Psychiatry, 161(4), 745–747.

    Article  Google Scholar 

  • Hertzog, C., Kramer, A. F., Wilson, R. S., & Lindenberger, U. (2009). Fit body, fit mind? Scientific American Mind, 20(4), 24–31.

    Article  Google Scholar 

  • Hindin, S. B., & Zelinski, E. M. (2012). Extended practice and aerobic exercise interventions benefit untrained cognitive outcomes in older adults: A meta-analysis. Journal of the American Geriatrics Society, 60(1), 136–141.

    Article  PubMed  Google Scholar 

  • Hutchinson, J. B., Uncapher, M. R., & Wagner, A. D. (2009). Posterior parietal cortex and episodic retrieval: Convergent and divergent effects of attention and memory. Learning & Memory, 16(6), 343–356.

    Article  Google Scholar 

  • Hyodo, K., Dan, I., Suwabe, K., Kyutoku, Y., Yamada, Y., Akahori, M., et al. (2012). Acute moderate exercise enhances compensatory brain activation in older adults. Neurobiology of Aging, 33(11), 2621–2632.

    Article  PubMed  Google Scholar 

  • Johansson, B. B. (2011). Current trends in stroke rehabilitation. A review with focus on brain plasticity. Acta Neurologica Scandinavica, 123(3), 147–159.

    Article  CAS  PubMed  Google Scholar 

  • Jolles, D., & Crone, E. A. (2012). Training the developing brain: A neurocognitive perspective. Frontiers in Human Neuroscience, 6, 76.

    Article  PubMed  PubMed Central  Google Scholar 

  • Jolles, D. D., van Buchem, M. A., Crone, E. A., & Rombouts, S. A. (2013). Functional brain connectivity at rest changes after working memory training. Human Brain Mapping, 34(2), 396–406.

    Article  PubMed  Google Scholar 

  • Karbach, J., & Verhaeghen, P. (2014). Making working memory work: A meta-analysis of executive control and working memory training in older adults. Psychological Science, 25(11), 2027–2037.

    Article  PubMed  Google Scholar 

  • Karnath, H. O., Ferber, S., & Himmelbach, M. (2001). Spatial awareness is a function of the temporal not the posterior parietal lobe. Nature, 411(6840), 950–953.

    Article  CAS  PubMed  Google Scholar 

  • Kelly, C., Foxe, J. J., & Garavan, H. (2006). Patterns of normal human brain plasticity after practice and their implications for neurorehabilitation. Archives of Physical Medicine and Rehabilitation, 87(12), 20–29.

    Article  Google Scholar 

  • Kelly, M. E., Loughrey, D., Lawlor, B. A., Robertson, I. H., Walsh, C., & Brennan, S. (2014). The impact of cognitive training and mental stimulation on cognitive and everyday functioning of healthy older adults: A systematic review and meta-analysis. Ageing Research Reviews, 15, 28–43.

    Article  PubMed  Google Scholar 

  • Kerns, J. G., Cohen, J. D., MacDonald, A. W., Cho, R. Y., Stenger, V. A., & Carter, C. S. (2004). Anterior cingulate conflict monitoring and adjustments in control. Science, 303(5660), 1023–1026.

    Article  CAS  PubMed  Google Scholar 

  • Kirchhoff, B. A., Anderson, B. A., Barch, D. M., & Jacoby, L. L. (2011). Cognitive and neural effects of semantic encoding strategy training in older adults. Cerebral Cortex, 22(4), 788–799.

    Article  PubMed  PubMed Central  Google Scholar 

  • Kirino, E., Belger, A., Goldman-Rakic, P., & McCarthy, G. (2000). Prefrontal activation evoked by infrequent target and novel stimuli in a visual target detection task: an event-related functional magnetic resonance imaging study. Journal of Neuroscience, 20(17), 6612–6618.

    Article  CAS  PubMed  Google Scholar 

  • Kray, J., & Lindenberger, U. (2000). Adult age differences in task switching. Psychology and Aging, 15(1), 126.

    Article  CAS  PubMed  Google Scholar 

  • Kray, J., Li, K. Z., & Lindenberger, U. (2002). Age-related changes in task-switching components: The role of task uncertainty. Brain and Cognition, 49(3), 363–381.

    Article  PubMed  Google Scholar 

  • Kueider, A. M., Parisi, J. M., Gross, A. L., & Rebok, G. W. (2012). Computerized cognitive training with older adults: A systematic review. PLoS One, 7(7), e40588.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  • Laird, A. R., Fox, P. M., Price, C. J., Glahn, D. C., Uecker, A. M., Lancaster, J. L., et al. (2005). ALE meta-analysis: Controlling the false discovery rate and performing statistical contrasts. Human Brain Mapping, 25(1), 155–164.

    Article  PubMed  PubMed Central  Google Scholar 

  • Lampit, A., Hallock, H., & Valenzuela, M. (2014). Computerized cognitive training in cognitively healthy older adults: A systematic review and meta-analysis of effect modifiers. PLoS Medicine, 11(11), e1001756.

    Article  PubMed  PubMed Central  Google Scholar 

  • Langenecker, S. A., Nielson, K. A., & Rao, S. M. (2004). fMRI of healthy older adults during Stroop interference. NeuroImage, 21(1), 192–200.

    Article  PubMed  Google Scholar 

  • Li, K. Z., & Lindenberger, U. (2002). Relations between aging sensory/sensorimotor and cognitive functions. Neuroscience & Biobehavioral Reviews, 26(7), 777–783.

    Article  Google Scholar 

  • Li, R., Zhu, X., Yin, S., Niu, Y., Zheng, Z., Huang, X., et al. (2014). Multimodal intervention in older adults improves resting-state functional connectivity between the medial prefrontal cortex and medial temporal lobe. Frontiers in Aging Neuroscience, 6, 39.

    Article  PubMed  PubMed Central  Google Scholar 

  • Li, T., Yao, Y., Cheng, Y., Xu, B., Cao, X., Waxman, D., et al. (2016). Cognitive training can reduce the rate of cognitive aging: A neuroimaging cohort study. BMC Geriatrics, 16(1), 12.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  • Lindbergh, C. A., Dishman, R. K., & Miller, L. S. (2016). Functional disability in mild cognitive impairment: A systematic review and meta-analysis. Neuropsychology Review, 26(2), 129–159.

    Article  PubMed  Google Scholar 

  • Liu-Ambrose, T., Nagamatsu, L. S., Voss, M. W., Khan, K. M., & Handy, T. C. (2012). Resistance training and functional plasticity of the aging brain: A 12-month randomized controlled trial. Neurobiology of Aging, 33(8), 1690–1698.

    Article  PubMed  Google Scholar 

  • Loewenstein, D. A., Acevedo, A., Czaja, S. J., & Duara, R. (2004). Cognitive rehabilitation of mildly impaired Alzheimer disease patients on cholinesterase inhibitors. The American Journal of Geriatric Psychiatry, 12(4), 395–402.

    Article  PubMed  Google Scholar 

  • Luo, C., Zhang, X., Cao, X., Gan, Y., Li, T., Cheng, Y., et al. (2016). The lateralization of intrinsic networks in the aging brain implicates the effects of cognitive training. Frontiers in Aging Neuroscience, 8, 32.

    Article  PubMed  PubMed Central  Google Scholar 

  • Lustig, C., Shah, P., Seidler, R., & Reuter-Lorenz, P. A. (2009). Aging, training, and the brain: A review and future directions. Neuropsychology Review, 19(4), 504–522.

    Article  PubMed  PubMed Central  Google Scholar 

  • Madden, D. J. (1990). Adult age differences in the time course of visual attention. Journal of Gerontology, 45(1), P9–P16.

    Article  CAS  PubMed  Google Scholar 

  • Madden, D. J., Costello, M. C., Dennis, N. A., Davis, S. W., Shepler, A. M., Spaniol, J., et al. (2010). Adult age differences in functional connectivity during executive control. NeuroImage, 52(2), 643–657.

    Article  PubMed  Google Scholar 

  • Maguire, E. A., Spiers, H. J., Good, C. D., Hartley, T., Frackowiak, R. S., & Burgess, N. (2003). Navigation expertise and the human hippocampus: A structural brain imaging analysis. Hippocampus, 13(2), 250–259.

    Article  PubMed  Google Scholar 

  • Mahncke, H. W., Connor, B. B., Appelman, J., Ahsanuddin, O. N., Hardy, J. L., Wood, R. A., et al. (2006). Memory enhancement in healthy older adults using a brain -based training program: A randomized, controlled study. Proceedings of the National Academy of Sciences, 103(33), 12523–12528.

    Article  CAS  Google Scholar 

  • Mason, M. F., Norton, M. I., Van Horn, J. D., Wegner, D. M., Grafton, S. T., & Macrae, C. N. (2007). Wandering minds: The default network and stimulus-independent thought. Science, 315(5810), 393–395.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  • Mattay, V. S., Fera, F., Tessitore, M. D., Hariri, A. R., Das, S., Callicott, J. H., et al. (2002). Neurophysiological correlates of age-related changes in human motor function. Neurology, 58(4), 630–635.

    Article  CAS  PubMed  Google Scholar 

  • May, A. (2011). Experience-dependent structural plasticity in the adult human brain. Trends in Cognitive Sciences, 15(10), 475–482.

    Article  PubMed  Google Scholar 

  • McDaniel, M. A., Binder, E. F., Bugg, J. M., Waldum, E. R., Dufault, C., Meyer, A., et al. (2014). Effects of cognitive training with and without aerobic exercise on cognitively-demanding everyday activities. Psychology and Aging, 29(3), 717–730.

    Article  PubMed  PubMed Central  Google Scholar 

  • McDonough, I. M., Haber, S., Bischof, G. N., & Park, D. C. (2015). The Synapse Project: Engagement in mentally challenging activities enhances neural efficiency. Restorative Neurology and Neuroscience, 33(6), 865–882.

    Article  PubMed  PubMed Central  Google Scholar 

  • Mewborn, C. M., Lindbergh, C. A., & Miller, L. S. (2017). Cognitive interventions for cognitively healthy, mildly impaired, and mixed samples of older adults: a systematic review and meta-analysis of randomized-controlled trials. Neuropsychology Review, 27(4), 403–439.

  • Moher, D., Liberati, A., Tetzlaff, J., Altman, D. G., & Prisma Group. (2009). Preferred reporting items for systematic reviews and meta-analyses: The PRISMA statement. PLoS Medicine, 6(7), e1000097.

    Article  PubMed  PubMed Central  Google Scholar 

  • Morcom, A. M., & Johnson, W. (2015). Neural reorganization and compensation in aging. Journal of Cognitive Neuroscience, 27(7), 1275–1285.

    Article  PubMed  Google Scholar 

  • Motes, M. A., Yezhuvath, U. S., Aslan, S., Spence, J. S., Rypma, B., & Chapman, S. B. (2018). Higher-order cognitive training effects on processing speed–related neural activity: A randomized trial. Neurobiology of Aging, 62, 72–81.

    Article  PubMed  Google Scholar 

  • Mozolic, J. L., Hayaska, S., & Laurienti, P. J. (2010). A cognitive training intervention increases resting cerebral blood flow in healthy older adults. Frontiers in Human Neuroscience, 4, 16.

    Article  PubMed  PubMed Central  Google Scholar 

  • Murphy, S. E., O’Donoghue, M. C., Blackwell, S. E., Nobre, A. C., Browning, M., & Holmes, E. A. (2017). Increased rostral anterior cingulate activity following positive mental imagery training in healthy older adults. Social Cognitive and Affective Neuroscience, 12(12), 1950–1958.

    Article  PubMed  PubMed Central  Google Scholar 

  • Nagahama, Y., Fukuyama, H., Yamauchi, H., Matsuzaki, S., Konishi, J., Shibasaki, H., & Kimura, J. (1996). Cerebral activation during performance of a card sorting test. Brain, 119(5), 1667–1676.

    Article  PubMed  Google Scholar 

  • Nagahama, Y., Okada, T., Katsumi, Y., Hayashi, T., Yamauchi, H., Sawamoto, N., et al. (1999). Transient neural activity in the medial superior frontal gyrus and precuneus time locked with attention shift between object features. NeuroImage, 10(2), 193–199.

    Article  CAS  PubMed  Google Scholar 

  • Nagamatsu, L. S., Handy, T. C., Hsu, C. L., Voss, M., & Liu-Ambrose, T. (2012). Resistance training promotes cognitive and functional brain plasticity in seniors with probable mild cognitive impairment. Archives of Internal Medicine, 172(8), 666–668.

    Article  PubMed  PubMed Central  Google Scholar 

  • National Institute on Aging, & World Health Organization (2011). Global Health and Aging. Retrieved from http://www.nia.nih.gov/research/publication/global-health-and-aging/humanity’s-aging.

  • Nee, D. E., Jahn, A., & Brown, J. W. (2014). Prefrontal cortex organization: Dissociating effects of temporal abstraction, relational abstraction, and integration with fMRI. Cerebral Cortex, 24(9), 2377–2387.

    Article  PubMed  Google Scholar 

  • Neely, A. S., Vikström, S., & Josephsson, S. (2009). Collaborative memory intervention in dementia: Caregiver participation matters. Neuropsychological Rehabilitation, 19(5), 696–715.

    Article  PubMed  Google Scholar 

  • Niendam, T. A., Laird, A. R., Ray, K. L., Dean, Y. M., Glahn, D. C., & Carter, C. S. (2012). Meta-analytic evidence for a superordinate cognitive control network subserving diverse executive functions. Cognitive, Affective, & Behavioral Neuroscience, 12(2), 241–268.

    Article  Google Scholar 

  • Noack, H., Lövdén, M., & Schmiedek, F. (2014). On the validity and generality of transfer effects in cognitive training research. Psychological Research, 78(6), 773–789.

    Article  PubMed  Google Scholar 

  • Nudo, R. (2003). Adaptive plasticity in motor cortex: Implications for rehabilitation after brain injury. Journal of Rehabilitation Medicine-Supplements, 41, 7–10.

    Article  Google Scholar 

  • Nyberg, L., Sandblom, J., Jones, S., Neely, A. S., Petersson, K. M., Ingvar, M., & Bäckman, L. (2003). Neural correlates of training-related memory improvement in adulthood and aging. Proceedings of the National Academy of Sciences, 100(23), 13728–13733.

    Article  CAS  Google Scholar 

  • Nyberg, L., Dahlin, E., Neely, A., & Bäckman, L. (2009). Neural correlates of variable working memory load across adult age and skill: Dissociative patterns within the fronto-parietal network. Scandinavian Journal of Psychology, 50(1), 41–46.

    Article  PubMed  Google Scholar 

  • Nyberg, L., Lövdén, M., Riklund, K., Lindenberger, U., & Bäckman, L. (2012). Memory aging and brain maintenance. Trends in Cognitive Sciences, 16(5), 292–305.

    Article  PubMed  Google Scholar 

  • Olesen, P. J., Westerberg, H., & Klingberg, T. (2004). Increased prefrontal and parietal activity after training of working memory. Nature Neuroscience, 7(1), 75–79.

    Article  CAS  PubMed  Google Scholar 

  • Osaka, M., Otsuka, Y., & Osaka, N. (2012). Verbal to visual code switching improves working memory in older adults: An fMRI study. Frontiers in Human Neuroscience, 6, 24.

    Article  PubMed  PubMed Central  Google Scholar 

  • Oswald, W. D., Gunzelmann, T., Rupprecht, R., & Hagen, B. (2006). Differential effects of single versus combined cognitive and physical training with older adults: The SimA study in a 5-year perspective. European Journal of Ageing, 3(4), 179–192.

    Article  PubMed  PubMed Central  Google Scholar 

  • Outhred, T., Hawkshead, B. E., Wager, T. D., Das, P., Malhi, G. S., & Kemp, A. H. (2013). Acute neural effects of selective serotonin reuptake inhibitors versus noradrenaline reuptake inhibitors on emotion processing: Implications for differential treatment efficacy. Neuroscience & Biobehavioral Reviews, 37(8), 1786–1800.

    Article  CAS  Google Scholar 

  • Owen, A. M., Hampshire, A., Grahn, J. A., Stenton, R., Dajani, S., Burns, A. S., et al. (2010). Putting brain training to the test. Nature, 465(7299), 775.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  • Parker, S., Jagger, C., Lamura, G., Chiatti, C., Wahl, H., Iwarsson, S., ... & Walker, A. (2012). FUTURAGE: Creating a road map for ageing research. European Geriatric Medicine, 3, S100-S101.

  • Pacheco, J., Goh, J. O., Kraut, M. A., Ferrucci, L., & Resnick, S. M. (2015). Greater cortical thinning in normal older adults predicts later cognitive impairment. Neurobiology of Aging, 36(2), 903–908.

    Article  PubMed  Google Scholar 

  • Papp, K. V., Walsh, S. J., & Snyder, P. J. (2009). Immediate and delayed effects of cognitive interventions in healthy elderly: A review of current literature and future directions. Alzheimer's & Dementia, 5(1), 50–60.

    Article  Google Scholar 

  • Patel, R., Spreng, R. N., & Turner, G. R. (2013). Functional brain changes following cognitive and motor skills training: A quantitative meta-analysis. Neurorehabilitation and Neural Repair, 27(3), 187–199.

    Article  PubMed  Google Scholar 

  • Peretz, C., Korczyn, A. D., Shatil, E., Aharonson, V., Birnboim, S., & Giladi, N. (2011). Computer-based, personalized cognitive training versus classical computer games: A randomized double-blind prospective trial of cognitive stimulation. Neuroepidemiology, 36(2), 91–99.

    Article  PubMed  Google Scholar 

  • Persson, J., Nyberg, L., Lind, J., Larsson, A., Nilsson, L. G., Ingvar, M., & Buckner, R. L. (2006). Structure–function correlates of cognitive decline in aging. Cerebral Cortex, 16(7), 907–915.

    Article  PubMed  Google Scholar 

  • Persson, J., Lustig, C., Nelson, J. K., & Reuter-Lorenz, P. A. (2007). Age differences in deactivation: A link to cognitive control? Journal of Cognitive Neuroscience, 19(6), 1021–1032.

    Article  PubMed  Google Scholar 

  • Price, C. J. (2010). The anatomy of language: A review of 100 fMRI studies published in 2009. Annals of the New York Academy of Sciences, 1191(1), 62–88.

  • Prince, M., Bryce, R., Albanese, E., Wimo, A., Ribeiro, W., & Ferri, C. P. (2013). The global prevalence of dementia: A systematic review and meta-analysis. Alzheimer's & Dementia, 9(1), 63–75.

    Article  Google Scholar 

  • Qiu, F. T., & Von Der Heydt, R. (2005). Figure and ground in the visual cortex: V2 combines stereoscopic cues with gestalt rules. Neuron, 47(1), 155–166.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  • Quayhagen, M. P., Quayhagen, M., Corbeil, R. R., Hendrix, R. C., Jackson, J. E., Snyder, L., & Bower, D. (2000). Coping with dementia: Evaluation of four nonpharmacologic interventions. International Psychogeriatrics, 12(2), 249–265.

    Article  CAS  PubMed  Google Scholar 

  • Ranganath, C., & Rainer, G. (2003). Cognitive neuroscience: Neural mechanisms for detecting and remembering novel events. Nature Reviews Neuroscience, 4(3), 193–202.

    Article  CAS  PubMed  Google Scholar 

  • Raz, N., Lindenberger, U., Rodrigue, K. M., Kennedy, K. M., Head, D., Williamson, A., et al. (2005). Regional brain changes in aging healthy adults: General trends, individual differences and modifiers. Cerebral Cortex, 15(11), 1676–1689.

    Article  PubMed  Google Scholar 

  • Rebok, G. W., Carlson, M. C., & Langbaum, J. B. (2007). Training and maintaining memory abilities in healthy older adults: Traditional and novel approaches. The Journals of Gerontology Series B: Psychological Sciences and Social Sciences, 62(1), 53–61.

    Article  Google Scholar 

  • Reuter-Lorenz, P. A., & Park, D. C. (2014). How does it STAC up? Revisiting the scaffolding theory of aging and cognition. Neuropsychology Review, 24(3), 355–370.

    Article  PubMed  PubMed Central  Google Scholar 

  • Reuter-Lorenz, P. A., Jonides, J., Smith, E. E., Hartley, A., Miller, A., Marshuetz, C., & Koeppe, R. A. (2000). Age differences in the frontal lateralization of verbal and spatial working memory revealed by PET. Journal of Cognitive Neuroscience, 12(1), 174–187.

  • Rosano, C., Venkatraman, V. K., Guralnik, J., Newman, A. B., Glynn, N. W., Launer, L., Aizenstein, H. (2010). Psychomotor speed and functional brain MRI 2 years after completing a physical activity treatment. Journals of Gerontology Series A: Biomedical Sciences and Medical Sciences, 65(6), 639–647. 

  • Roy, S., Ficarro, S., Duberstein, P., Chapman, B. P., Dubovsky, S., Paroski, M., et al. (2016). Executive function and personality predict instrumental activities of daily living in Alzheimer disease. The American Journal of Geriatric Psychiatry, 24(11), 1074–1083.

    Article  PubMed  PubMed Central  Google Scholar 

  • Ruffieux, J., Mouthon, A., Keller, M., Mouthon, M., Annoni, J. M., & Taube, W. (2018). Balance training reduces brain activity during motor simulation of a challenging balance task in older adults: An fMRI study. Frontiers in Behavioral Neuroscience, 12, 10.

    Article  PubMed  PubMed Central  Google Scholar 

  • Ruscheweyh, R., Deppe, M., Lohmann, H., Wersching, H., Korsukewitz, C., Duning, T., et al. (2013). Executive performance is related to regional gray matter volume in healthy older individuals. Human Brain Mapping, 34(12), 3333–3346.

    Article  PubMed  Google Scholar 

  • Rypma, B., Prabhakaran, V., Desmond, J. E., Glover, G. H., & Gabrieli, J. D. (1999). Load-dependent roles of frontal brain regions in the maintenance of working memory. NeuroImage, 9(2), 216–226.

    Article  CAS  PubMed  Google Scholar 

  • Sabatinelli, D., Fortune, E. E., Li, Q., Siddiqui, A., Krafft, C., Oliver, W. T., et al. (2011). Emotional perception: Meta-analyses of face and natural scene processing. NeuroImage, 54(3), 2524–2533.

    Article  PubMed  Google Scholar 

  • Salat, D. H., Buckner, R. L., Snyder, A. Z., Greve, D. N., Desikan, R. S., Busa, E., et al. (2004). Thinning of the cerebral cortex in aging. Cerebral Cortex, 14(7), 721–730.

    Article  PubMed  Google Scholar 

  • Salthouse, T. A. (1996). The processing-speed theory of adult age differences in cognition. Psychological Review, 103(3), 403.

    Article  CAS  PubMed  Google Scholar 

  • Sayala, S., Sala, J. B., & Courtney, S. M. (2006). Increased neural efficiency with repeated performance of a working memory task is information-type dependent. Cerebral Cortex, 16(5), 609–617.

    Article  PubMed  Google Scholar 

  • Schmitter-Edgecombe, M., Parsey, C., & Cook, D. J. (2011). Cognitive correlates of functional performance in older adults: Comparison of self-report, direct observation, and performance-based measures. Journal of the International Neuropsychological Society, 17(5), 853–864.

    Article  PubMed  PubMed Central  Google Scholar 

  • Schneiders, J. A., Opitz, B., Krick, C. M., & Mecklinger, A. (2011). Separating intra-modal and across-modal training effects in visual working memory: An fMRI investigation. Cerebral Cortex, 21(11), 2555–2564.

    Article  PubMed  Google Scholar 

  • Shah, T. M., Weinborn, M., Verdile, G., Sohrabi, H. R., & Martins, R. N. (2017). Enhancing cognitive functioning in healthly older adults: A systematic review of the clinical significance of commercially available computerized cognitive training in preventing cognitive decline. Neuropsychology Review, 27(1), 62–80.

    Article  PubMed  Google Scholar 

  • Silsupadol, P., Shumway-Cook, A., Lugade, V., van Donkelaar, P., Chou, L. S., Mayr, U., & Woollacott, M. H. (2009). Effects of single-task versus dual-task training on balance performance in older adults: A double-blind, randomized controlled trial. Archives of Physical Medicine and Rehabilitation, 90(3), 381–387.

    Article  PubMed  PubMed Central  Google Scholar 

  • Smith, A. R., Smith, R. G., Condliffe, D., Hannon, E., Schalkwyk, L., Mill, J., & Lunnon, K. (2016). Increased DNA methylation near TREM2 is consistently seen in the superior temporal gyrus in Alzheimer's disease brain. Neurobiology of Aging, 47, 35–40.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  • Sohn, M. H., Ursu, S., Anderson, J. R., Stenger, V. A., & Carter, C. S. (2000). The role of prefrontal cortex and posterior parietal cortex in task switching. Proceedings of the National Academy of Sciences, 97(24), 13448–13453.

    Article  CAS  Google Scholar 

  • Solbakk, A. K., Alpert, G. F., Furst, A. J., Hale, L. A., Oga, T., Chetty, S., et al. (2008). Altered prefrontal function with aging: Insights into age-associated performance decline. Brain Research, 1232, 30–47.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  • Spreng, R. N., & Schacter, D. L. (2012). Default network modulation and large-scale network interactivity in healthy young and old adults. Cerebral Cortex, 22(11), 2610–2621.

    Article  PubMed  Google Scholar 

  • Suchy, Y., Kraybill, M. L., & Franchow, E. (2011). Instrumental activities of daily living among community-dwelling older adults: Discrepancies between self-report and performance are mediated by cognitive reserve. Journal of Clinical and Experimental Neuropsychology, 33(1), 92–100.

    Article  PubMed  Google Scholar 

  • Tomasi, D., Ernst, T., Caparelli, E. C., & Chang, L. (2006). Common deactivation patterns during working memory and visual attention tasks: An intra-subject fMRI study at 4 tesla. Human Brain Mapping, 27(8), 694–705.

    Article  PubMed  PubMed Central  Google Scholar 

  • Turkeltaub, P. E., Eden, G. F., Jones, K. M., & Zeffiro, T. A. (2002). Meta-analysis of the functional neuroanatomy of single-word reading: Method and validation. NeuroImage, 16(3), 765–780.

    Article  PubMed  Google Scholar 

  • Uddin, L. Q., Clare Kelly, A. M., Biswal, B. B., Xavier Castellanos, F., & Milham, M. P. (2009). Functional connectivity of default mode network components: Correlation, anticorrelation, and causality. Human Brain Mapping, 30(2), 625–637.

    Article  PubMed  Google Scholar 

  • Valenzuela, M. J., Jones, M., Rae, W. W. C., Graham, S., Shnier, R., & Sachdev, P. (2003). Memory training alters hippocampal neurochemistry in healthy elderly. Neuroreport, 14(10), 1333–1337.

    PubMed  Google Scholar 

  • Vincent, J. L., Kahn, I., Snyder, A. Z., Raichle, M. E., & Buckner, R. L. (2008). Evidence for a frontoparietal control system revealed by intrinsic functional connectivity. Journal of Neurophysiology, 100(6), 3328–3342.

    Article  PubMed  PubMed Central  Google Scholar 

  • von der Heydt, R., Peterhans, E., & Baumgartner, G. (1984). Illusory contours and cortical neuron responses. Science, 224, 1260–1262.

    Article  PubMed  Google Scholar 

  • Voss, M. W., Prakash, R. S., Erickson, K. I., Basak, C., Chaddock, L., Kim, J. S., et al. (2010). Plasticity of brain networks in a randomized intervention trial of exercise training in older adults. Frontiers in Aging Neuroscience, 2, 32.

    PubMed  PubMed Central  Google Scholar 

  • West, R. L., Welch, D. C., & Yassuda, M. S. (2000). Innovative approaches to memory training for older adults. Cognitive Rehabilitation in Old Age, 81–105.

  • Wegbreit, E., Cushman, G. K., Puzia, M. E., Weissman, A. B., Kim, K. L., Laird, A. R., & Dickstein, D. P. (2014). Developmental meta-analyses of the functional neural correlates of bipolar disorder. JAMA Psychiatry, 71(8), 926–935.

    Article  PubMed  PubMed Central  Google Scholar 

  • Willis, S. L., Tennstedt, S. L., Marsiske, M., Ball, K., Elias, J., Koepke, K. M., et al. (2006). Long-term effects of cognitive training on everyday functional outcomes in older adults. JAMA, 296(23), 2805–2814.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  • Wood, K. N., Nikolov, R., & Shoemaker, J. K. (2016). Impact of long-term endurance training vs. guideline-based physical activity on brain structure in healthy aging. Frontiers in Aging Neuroscience, 8, 155.

    PubMed  Google Scholar 

  • Wortmann, M. (2012). Dementia: A global health priority-highlights from an ADI and World Health Organization report. Alzheimer's Research & Therapy, 4(5), 40.

    Article  Google Scholar 

  • Wu, J. T., Wu, H. Z., Yan, C. G., Chen, W. X., Zhang, H. Y., He, Y., & Yang, H. S. (2011). Aging-related changes in the default mode network and its anti-correlated networks: A resting-state fMRI study. Neuroscience Letters, 504(1), 62–67.

    Article  CAS  PubMed  Google Scholar 

  • Yamaguchi, S., Hale, L. A., D'esposito, M., & Knight, R. T. (2004). Rapid prefrontal-hippocampal habituation to novel events. Journal of Neuroscience, 24(23), 5356–5363.

    Article  CAS  PubMed  Google Scholar 

  • Yeo, B. T., Krienen, F. M., Eickhoff, S. B., Yaakub, S. N., Fox, P. T., Buckner, R. L., et al. (2014). Functional specialization and flexibility in human association cortex. Cerebral Cortex, 25(10), 3654–3672.

    Article  PubMed  PubMed Central  Google Scholar 

  • Yin, S., Zhu, X., Li, R., Niu, Y., Wang, B., Zheng, Z., et al. (2014). Intervention-induced enhancement in intrinsic brain activity in healthy older adults. Scientific Reports, 4, 7309.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  • Zacks, R. T., Hasher, L., & Li, K. Z. H. (2000). Human memory. In F. I. M. Craik & T. A. Salthouse (Eds.), The handbook of aging and cognition (pp. 293–357). Mahwah: Lawrence Erlbaum Associates Publishers.

    Google Scholar 

  • Zanto, T. P., & Gazzaley, A. (2013). Fronto-parietal network: Flexible hub of cognitive control. Trends in Cognitive Sciences, 17(12), 602–603.

    Article  PubMed  Google Scholar 

  • Zinke, K., Zeintl, M., Rose, N. S., Putzmann, J., Pydde, A., & Kliegel, M. (2014). Working memory training and transfer in older adults: Effects of age, baseline performance, and training gains. Developmental Psychology, 50(1), 304.

    Article  PubMed  Google Scholar 

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Duda, B.M., Sweet, L.H. Functional brain changes associated with cognitive training in healthy older adults: A preliminary ALE meta-analysis. Brain Imaging and Behavior 14, 1247–1262 (2020). https://doi.org/10.1007/s11682-019-00080-0

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