Hostname: page-component-745bb68f8f-d8cs5 Total loading time: 0 Render date: 2025-02-06T10:51:33.387Z Has data issue: false hasContentIssue false

Considering how combinatorial interventions may promote neurocognitive plasticity

Published online by Cambridge University Press:  01 March 2009

MICHELLE C. CARLSON*
Affiliation:
Department of Mental Health, Center on Aging and Health, The Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland
*
*Correspondence and reprint requests to: Michelle C. Carlson, Department of Mental Health, Center on Aging and Health, The Johns Hopkins Bloomberg School of Public Health, 2024 E. Monument Street, Suite 2-700, Baltimore, Maryland 21205. E-mail: mcarlson@jhmi.edu
Rights & Permissions [Opens in a new window]

Abstract

Type
Neurobehavioral Grand Rounds-Introduction
Copyright
Copyright © INS 2009

Dementia is a looming and costly target for treatment and prevention given its current irreversibility. In the United States, the prevalence of Alzheimer’s disease (AD) is expected to rise fourfold, to 8.6 million, over the next 50 years (Ziegler-Graham et al., Reference Ziegler-Graham, Brookmeyer, Johnson and Arrighi2008). Effective interventions are critically needed in early AD and preclinical stages of mild cognitive impairment (MCI; Petersen et al., Reference Petersen, Doody, Kurz, Mohs, Morris, Rabins, Ritchie, Rossor, Thal and Winblad2001), when neural architecture may be sufficiently plastic, to help slow declines in both cognitive and independent functioning. At present, acetyl cholinesterase inhibitors (ChEIs; donepezil, rivastigmine, and galantamine) remain among the most effective pharmacologic agents to treat clinical symptoms of AD. ChEIs increase neural plasticity through increases in intracellular calcium to improve the efficiency of synapses broadly (Gu, Reference Gu2003; McCormick & Prince, Reference McCormick and Prince1985). However, long-term treatment with donepezil in MCI patients has not been efficacious in mitigating progression to AD (Jack et al., Reference Jack, Petersen, Grundman, Jin, Gamst, Ward, Sencakova, Doddy and Thal2008; Petersen et al., Reference Petersen, Thomas, Grundman, Bennett, Doody, Ferris, Galasko, Jin, Kaye, Levey, Pfeiffer, Sano, van Dyck and Thal2005).

The introduction of behavioral cognitive training interventions in early AD and MCI is not without challenges either and has yielded equivocal support (Clare et al., Reference Clare, Woods, Moniz Cook, Orrell and Spector2003). Such interventions, as currently designed, train to a specific skill and have observed limited transfer and short-lived cognitive benefits (Loewenstein et al., Reference Loewenstein, Acevedo, Czaja and Duara2004; Verhaeghen et al., Reference Verhaeghen, Marcoen and Goossens1992). In healthy older adults, the largest randomized trial of process-specific cognitive training, the Advanced Cognitive Training for Independent and Vital Elderly (ACTIVE) study (Jobe et al., Reference Jobe, Smith, Ball, Tennstedt, Marsiske, Willis, Rebok, Morris, Helmers, Leverck and Kleinman2001), led to improved or maintained training-specific gains in memory, inductive reasoning, or speed of processing outcomes through 2- and 5-year follow-ups (Ball et al., Reference Ball, Berch, Helmers, Jobe, Leveck, Marsiske, Morris, Rebok, Smith, Tennstedt, Unverzagt and Willis2002; Willis et al., Reference Willis, Tennstedt, Marsiske, Ball, Elias, Koepke, Morris, Rebok, Unverzagt, Stoddard and Wright2006). The reasoning training arm also resulted in less self-reported functional decline. However, there was no transfer of training, thereby restricting yield for more generalized benefits.

In addition to limited transfer, recruitment to and implementation of cognitive interventions are more labor, resource, and cost-intensive than are pharmacologic interventions. As a result, any null findings may serve to further dampen enthusiasm for future efforts. In this context, it is important to consider how to optimize cognitive training effects in order to boost memory and other abilities important to independent function. Some studies have recently found that memory strategy training and socialization (Bottino et al., Reference Bottino, Carvalho, Alvarez, Avila, Zukauskas, Bustamante, Andrade, Hototian, Saffi and Camaro2005) and multidomain cognitive test training (Rozzini et al., Reference Rozzini, Chilovi, Conti, Bertoletti, Delrio, Trabucchi and Padovani2007) produce evidence of short-term benefit in MCI and AD patients taking ChEIs.

In this issue of JINS, Gonzalez-Rothi et al. report on an innovative Phase I study over a 3-month interval in six patients with probable AD and taking donepezil. They theorized that this ChEI may potentiate learning during daily life and that targeted learning opportunities may amplify the effects of ChEI on language naming abilities in AD. These individuals participated in targeted word production practice using an “errorless learning” strategy (Baddeley & Wilson, Reference Baddeley and Wilson1994; Bottino et al., Reference Bottino, Carvalho, Alvarez, Avila, Zukauskas, Bustamante, Andrade, Hototian, Saffi and Camaro2005). Briefly, following baseline assessment of confrontation naming ability, participants received two sequential types of confrontation naming training that varied level of trainer support. In the first “simultaneous” condition, the trainer named the picture as it was presented, and in the second “delayed” condition, the trainer waited 3 s to allow participants to name the object, if able. Three of the six participants (50%) showed significant improvements in verbal naming of trained items relative to baseline. No improvements were observed for a control, Clock Drawing, task. Nonresponsiveness to training among the other three participants may have been due to differences in baseline dementia severity, as indexed by poorer global and domain-specific cognitive functions, and living conditions. Overall, these findings suggest that cognitive training may be effective when paired with ChEIs. These promising initial findings in individuals with early AD provide compelling support for next-level studies using this combinatorial intervention approach, randomizing AD and MCI patients to a combined or a donepezil-only control group.

This Phase I study is important in highlighting the potential to initiate cognitive training during a critical “window,” when implementation of a ChEI in AD patients increases neural plasticity (Gu, Reference Gu2003; McCormick & Prince, Reference McCormick and Prince1985) and potential responsiveness to new learning. This period of enhanced neuroplasticity provides the ideal neural environment in which to introduce cognitive training platforms, such as the targeted errorless learning method, here. The errorless learning method is innovative in reducing one’s opportunity to attend to and practice incorrect responses. Furthermore, this method may serve as an external executive assistant in inhibiting selection of distracting tangential responses by helping one direct attention and memory resources solely to target information.

In addition to training process-specific abilities, such as language, Gonzalez-Rothi et al. indicate that other cognitive enrichment programs could be equally applied in conjunction with ChEIs to optimize learning opportunities. We now know the great potential for brain plasticity into later life in animals (Briones et al., Reference Briones, Klintsova and Greenough2004; van Praag et al., Reference van Praag, Kempermann and Gage1999) and humans (Carlson et al., submitted) in direct response to environmental enrichment.

Recent studies of preclinical AD show that deficits often emerge in multiple domains, including memory (Small et al., Reference Small, Fratiglioni and Backman2001), executive function (Albert et al., Reference Albert, Moss, Tanzi and Jones2001; Chen et al., Reference Chen, Ratcliff, Belle, Cauley, DeKosky and Ganguli2000), and speed of processing (e.g., Barberger-Gateau & Fabrigoule, Reference Barberger-Gateau and Fabrigoule1997). Executive functions and associated prefrontal cortical regions appear to decline disproportionately faster than other abilities with age (Goldman-Rakic & Friedman, Reference Goldman-Rakic, Friedman, Levin, Eisenbert and Benton1991; Raz, Reference Raz and Saulthouse2000). Joint comparisons of cognitive declines with age further suggest that executive functions may decline more rapidly than memory (Carlson et al., Reference Carlson, Xue, Zhou and Fried2009). In cross section, executive functions are selectively associated with independent activity of daily living (IADL) functional difficulty (Carlson et al., Reference Carlson, Fried, Xue, Bandeen-Roche, Zeger and Brandt1999; Grigsby et al., Reference Grigsby, Kaye, Baxter, Shetterly and Hamman1998; Johnson et al., Reference Johnson, Lui and Yaffe2007). Executive functions have also predicted incident and worsening functional difficulty over 6 years (Johnson et al., Reference Johnson, Lui and Yaffe2007). These findings suggest that executive functions may contribute to memory and functional declines and may be amenable to interventions that promote neural plasticity and learning. However, executive functions are among the least studied abilities in preclinical AD, and there are few cognitive training platforms designed to explicitly target executive planning and organizational functions important to independent function (Levine et al., Reference Levine, Stuss, Winocur, Binns, Fahy, Mandic, Bridges and Robertson2007; Stuss et al., Reference Stuss, Robertson, Craik, Levine, Alexander, Black, Dawson, Binns, Palmer, Downey-Lamb and Winocur2007).

These findings collectively highlight three potentially important features for the next stage of cognitive interventions, whose efficacy may be amplified in MCI and AD when paired with ChEIs. First, environmental enrichment in daily life, in combination with ChEI, may train directly to abilities important to maintaining functional independence. Ironically, the diagnosis of AD, and corresponding introduction of donepezil, may coincide with a resulting loss of opportunities for daily learning and enrichment through routine contact with friends, neighbors, co-workers, and adult offspring, who may live remotely. Therefore, the introduction of cognitive rehabilitation strategies and opportunities for learning and enrichment in one’s community become all the more important. Second, cognitive interventions have largely focused on rehabilitation of memory and language impairments seminal to AD pathology and have yet to be designed to target those potentially compensatory executive abilities and cortical regions that appear to be most susceptible to the normal and pathologic effects of aging. Third, we have yet to understand the durability or longer term benefits of combinatorial cognitive–pharmacologic interventions post-exposure and whether they should optimally be maintained, much as prescribed medications are used to manage other chronic diseases, such as diabetes and cardiovascular disease. If cognitive enrichment is to be maintained, then programs should strive to give the brain what it consistently seeks—novelty and stimulation. Studies of one such model, entitled “Experience Corps,” represent a community-based volunteer service program that trains and places teams of at-risk older adults in Baltimore City elementary schools to help children with reading achievement, library support, and classroom behavior (Fried et al., Reference Fried, Carlson, Freedman, Frick, Glass, Hill, McGill, Rebok, Seeman, Tielsch, Wasik and Zeger2004). In a pilot trial and pilot functional neuroimaging study, 6 months of exposure to this program led to improvements in executive function and memory (Carlson et al., Reference Carlson, Saczynski, Rebok, Seeman, Glass, McGill, Tielsch, Frick, Hill and Fried2008) and associated changes in prefrontal cortical regions (Carlson et al., submitted) among those with baseline cognitive impairments. These findings offer additional support for the neuroplasticity of older individuals at elevated risk for dementia when placed in cognitively enriching settings and may represent one means by which to help ameliorate the lifelong accumulation of dementia risk factors thought to diminish cognitive reserve (Stern et al., Reference Stern, Albert, Tang and Tsai1999, Reference Stern, Zarahn, Hilton, Flynn, DeLaPaz and Rakitin2003). These initial findings further highlight the potential of combinatorial interventions pairing opportunities for novelty and daily learning with effective pharmacologic agents that may amplify their effects on neural plasticity.

Identification of efficacious and effective cognitive interventions with the potential for immediate benefits and large-scale dissemination and adherence are increasingly critical as we face a demographic upswing in the aging population and a corresponding surge in the number of individuals living long enough to develop AD. Given the current and projected health care costs associated with managing this slow progressive disease, effective strategies that can even modestly shift the onset and course by 6 months to 1 year have tremendous potential to reduce burden at the level of the individual, the family, and society (Brookmeyer et al., Reference Brookmeyer, Gray and Kawas1998).

References

REFERENCES

Albert, M.S., Moss, M.B., Tanzi, R., & Jones, K. (2001). Preclinical prediction of AD using neuropsychological tests. Journal of the International Neuropsychological Society, 7(5), 631639.CrossRefGoogle ScholarPubMed
Baddeley, A. & Wilson, B.A. (1994). When implicit learning fails: Amnesia and the problem of error elimination. Neuropsychologia, 32(1), 5368.CrossRefGoogle ScholarPubMed
Ball, K., Berch, D.B., Helmers, K.F., Jobe, J.B., Leveck, M.D., Marsiske, M., Morris, J.N., Rebok, G.W., Smith, D.M., Tennstedt, S.L., Unverzagt, F.W., Willis, S.L., & Advanced Cognitive Training for Independent and Vital Elderly Study Group. (2002). Effects of cognitive training interventions with older adults: A randomized controlled trial. The Journal of the American Medical Association, 288(18), 22712281.CrossRefGoogle ScholarPubMed
Barberger-Gateau, P. & Fabrigoule, C. (1997). Disability and cognitive impairment in the elderly. Disability and Rehabilitation, 19(5), 175193.CrossRefGoogle ScholarPubMed
Bottino, C.M., Carvalho, I.A., Alvarez, A.M., Avila, R., Zukauskas, P.R., Bustamante, S.E., Andrade, F.C., Hototian, S.R., Saffi, F., & Camaro, C.H. (2005). Cognitive rehabilitation combined with drug treatment in Alzheimer’s disease patients: A pilot study. Clinical Rehabilitation, 19(8), 861869.CrossRefGoogle ScholarPubMed
Briones, T.L., Klintsova, A.Y., & Greenough, W.T. (2004). Stability of synaptic plasticity in the adult rat visual cortex induced by complex environment exposure. Brain Research, 1018(1), 130135.CrossRefGoogle ScholarPubMed
Brookmeyer, R., Gray, S., & Kawas, C. (1998). Projections of Alzheimer’s disease in the United States and the public health impact of delaying disease onset. American Journal of Public Health, 88(9), 13371342.CrossRefGoogle ScholarPubMed
Carlson, M.C., Erickson, K., Kramer, A.F., Voss, M.W., Bolea, N., Mielke, M.M., McGill, S., Rebok, G., Seeman, T., & Fried, L.P. (Submitted). Evidence for neurocognitive plasticity in at-risk older adults: The Experience Corps Program.Google Scholar
Carlson, M.C., Fried, L.P., Xue, Q.L., Bandeen-Roche, K., Zeger, S.L., & Brandt, J. (1999). Association between executive attention and physical functional performance in community-dwelling older women. Journals of Gerontology. Series B, Psychological Sciences and Social Sciences, 54(5), S262S270.CrossRefGoogle ScholarPubMed
Carlson, M.C., Saczynski, J.S., Rebok, G.W., Seeman, T., Glass, T.A., McGill, S., Tielsch, J., Frick, K.D., Hill, J., & Fried, L.P. (2008). Exploring the effects of an “everyday” activity program on executive function and memory in older adults: Experience corps(r). The Gerontologist, 48(6), 793801.CrossRefGoogle Scholar
Carlson, M.C., Xue, Q.L., Zhou, J., & Fried, L.P. (2009). Executive decline and dysfunction precedes memory decline: The Women’s Health and Aging Study II. Journals of Gerontology. Series A, Biological Science and Medical Sciences. [doi:10.1093/gerona/gln008]CrossRefGoogle ScholarPubMed
Chen, P., Ratcliff, G., Belle, S.H., Cauley, J.A., DeKosky, S.T., & Ganguli, M. (2000). Cognitive tests that best discriminate between presymptomatic AD and those who remain nondemented. Neurology, 55(12), 18471853.CrossRefGoogle ScholarPubMed
Clare, L., Woods, R.T., Moniz Cook, E.D., Orrell, M., & Spector, A. (2003). Cognitive rehabilitation and cognitive training for early-stage Alzheimer’s disease and vascular dementia. Cochrane Database of Systematic Reviews, 4, CD003260.CrossRefGoogle Scholar
Fried, L.P., Carlson, M.C., Freedman, M., Frick, K.D., Glass, T.A., Hill, J., McGill, S., Rebok, G.W., Seeman, T., Tielsch, J., Wasik, B.A., & Zeger, S. (2004). A social model for health promotion for an aging population: Initial evidence on the Experience Corps model. Journal of Urban Health, 81(1), 6478.CrossRefGoogle ScholarPubMed
Goldman-Rakic, P. & Friedman, H. (1991). The circuitry of working memory revealed by anatomy and metabolic imaging. In Levin, H.S., Eisenbert, H.M., & Benton, A.L. (Eds.), Frontal lobes function and dysfunction (pp. 7291). New York: Oxford University Press.CrossRefGoogle Scholar
Grigsby, J., Kaye, K., Baxter, J., Shetterly, S.M., & Hamman, R.F. (1998). Executive cognitive abilities and functional status among community-dwelling older persons in the San Luis Valley Health and Aging Study. Journal of the American Geriatrics Society, 46(5), 590596.CrossRefGoogle Scholar
Gu, Q. (2003). Contribution of acetylcholine to visual cortex plasticity. Neurobiology of Learning and Memory, 80(3), 291301.CrossRefGoogle ScholarPubMed
Jack, C.R. Jr, Petersen, R.C.,, Grundman, M., Jin, S., Gamst, A., Ward, C.P., Sencakova, D., Doddy, R.S., & Thal, L.J. (2008). Longitudinal MRI findings from the vitamin E and donepezil treatment study for MCI. Neurobiology of Aging, 29(9), 12851295.CrossRefGoogle ScholarPubMed
Jobe, J.B., Smith, D.M., Ball, K., Tennstedt, S.L., Marsiske, M., Willis, S.L., Rebok, G.W., Morris, J.N., Helmers, K.F., Leverck, M.D., & Kleinman, K. (2001). ACTIVE: A cognitive intervention trial to promote independence in older adults. Controlled Clinical Trials, 22(4), 453479.CrossRefGoogle ScholarPubMed
Johnson, J.K., Lui, L.Y., & Yaffe, K. (2007). Executive function, more than global cognition, predicts functional decline and mortality in elderly women. The Journals of Gerontology. Series A, Biological Sciences and Medical Sciences, 62(10), 11341141.CrossRefGoogle ScholarPubMed
Levine, B., Stuss, D.T., Winocur, G., Binns, M.A., Fahy, L., Mandic, M., Bridges, K., & Robertson, I.H. (2007). Cognitive rehabilitation in the elderly: Effects on strategic behavior in relation to goal management. Journal of the International Neuropsychological Society, 13(1), 143152.CrossRefGoogle ScholarPubMed
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), 395402.CrossRefGoogle ScholarPubMed
McCormick, D.A. & Prince, D.A. (1985). Two types of muscarinic response to acetylcholine in mammalian cortical neurons. Proceedings of the National Academy of Sciences of the United States of America, 82(18), 63446348.CrossRefGoogle ScholarPubMed
Petersen, R.C., Doody, R., Kurz, A., Mohs, R.C., Morris, J.C., Rabins, P.V., Ritchie, K., Rossor, M., Thal, L.J., & Winblad, B. (2001). Current concepts in mild cognitive impairment. Archives of Neurology, 58(12), 19851992.CrossRefGoogle ScholarPubMed
Petersen, R.C., Thomas, R.G., Grundman, M., Bennett, D., Doody, R., Ferris, S., Galasko, D., Jin, S., Kaye, J., Levey, A., Pfeiffer, E., Sano, M., van Dyck, C.H., & Thal, L.J. (2005). Vitamin E and donepezil for the treatment of mild cognitive impairment. The New England Journal of Medicine, 352(23), 23792388.CrossRefGoogle ScholarPubMed
Raz, N. (2000). Aging of the brain and its impact on cognitive performance: Integration of structural and functional findings. In Saulthouse, T.A. (Ed.), Handbook of aging and cognition (2nd ed., pp. 190). Mahwah, NJ: Lawrence Erlbaum.Google Scholar
Rozzini, L., Chilovi, B.V., Conti, M., Bertoletti, E., Delrio, I., Trabucchi, M., & Padovani, A. (2007). Conversion of amnestic mild cognitive impairment to dementia of Alzheimer type is independent to memory deterioration. International Journal of Geriatric Psychiatry, 22(12), 12171222.CrossRefGoogle ScholarPubMed
Small, B.J., Fratiglioni, L., & Backman, L. (2001). Canaries in a coal mine: Cognitive markers of preclinical Alzheimer disease. Archives of General Psychiatry, 58(9), 859860.CrossRefGoogle Scholar
Stern, Y., Albert, S., Tang, M.X., & Tsai, W.Y. (1999). Rate of memory decline in AD is related to education and occupation: Cognitive reserve? Neurology, 53(9), 19421947.CrossRefGoogle ScholarPubMed
Stern, Y., Zarahn, E., Hilton, H.J., Flynn, J., DeLaPaz, R., & Rakitin, B. (2003). Exploring the neural basis of cognitive reserve. Journal of Clinical and Experimental Neuropsychology, 25(5), 691701.CrossRefGoogle ScholarPubMed
Stuss, D.T., Robertson, I.H., Craik, F.I., Levine, B., Alexander, M.P., Black, S., Dawson, D., Binns, M.A., Palmer, H., Downey-Lamb, M., & Winocur, G. (2007). Cognitive rehabilitation in the elderly: A randomized trial to evaluate a new protocol. Journal of the International Neuropsychological Society, 13(1), 120131.CrossRefGoogle ScholarPubMed
van Praag, H., Kempermann, G., & Gage, F. (1999). Running increases cell proliferation and neurogenesis in the adult mouse dentate gyrus. Nature Neuroscience, 2(3), 266270.CrossRefGoogle ScholarPubMed
Verhaeghen, P., Marcoen, A., & Goossens, L. (1992). Improving memory performance in the aged through mnemonic training: A meta-analytic study. Psychology and Aging, 7(2), 242251.CrossRefGoogle ScholarPubMed
Willis, S.L., Tennstedt, S.L., Marsiske, M., Ball, K., Elias, J., Koepke, K.M., Morris, J.N., Rebok, G.W., Unverzagt, F.W., Stoddard, A.M., & Wright, E. (2006). Long-term effects of cognitive training on everyday functional outcomes in older adults. The Journal of the American Medical Association, 296(23), 28052814.CrossRefGoogle ScholarPubMed
Ziegler-Graham, K., Brookmeyer, R., Johnson, E., & Arrighi, H.M. (2008). Worldwide variation in the doubling time of Alzheimer’s disease incidence rates. Alzheimer’s and Dementia: The Journal of the Alzheimer’s Association, 4(5), 316323.CrossRefGoogle ScholarPubMed