Structural Brain Changes after Traditional and Robot-Assisted Multi-Domain Cognitive Training in Community-Dwelling Healthy Elderly
Open accessAbstract
UNLABELLED: The purpose of this study was to investigate if multi-domain cognitive training, especially robot-assisted training, alters cortical thickness in the brains of elderly participants. A controlled trial was conducted with 85 volunteers without cognitive impairment who were 60 years old or older. Participants were first randomized into two groups. One group consisted of 48 participants who would receive cognitive training and 37 who would not receive training. The cognitive training group was randomly divided into two groups, 24 who received traditional cognitive training and 24 who received robot-assisted cognitive training. The training for both groups consisted of daily 90-min-session, five days a week for a total of 12 weeks. The primary outcome was the changes in cortical thickness. When compared to the control group, both groups who underwent cognitive training demonstrated attenuation of age related cortical thinning in the frontotemporal association cortices. When the robot and the traditional interventions were directly compared, the robot group showed less cortical thinning in the anterior cingulate cortices. Our results suggest that cognitive training can mitigate age-associated structural brain changes in the elderly. TRIAL REGISTRATION: ClnicalTrials.gov NCT01596205.
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Older adults who played the games also performed better on traditional paper and pen cognitive evaluations, compared to those who did not play the games.
“Older adults who played the games also performed better on traditional paper and pen cognitive evaluations, compared to those who did not play the games.”
From Participatory Design, Development, and Testing of Assistive Health Robots with Older Adults: An International Four-year Project (2022) · cites this paper as [42]
The games were effective in reducing age-related thinning of the cerebral cortex.
“Importantly, the games were effective in reducing age-related thinning of the cerebral cortex.”
From Participatory Design, Development, and Testing of Assistive Health Robots with Older Adults: An International Four-year Project (2022) · cites this paper as [42]
Partners in the project previously tested similar games in Korea and found them to be acceptable and to have health benefits.
“Partners in the project previously tested similar games in Korea and found them to be acceptable and to have health benefits [42].”
From Participatory Design, Development, and Testing of Assistive Health Robots with Older Adults: An International Four-year Project (2022) · cites this paper as [42]
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Cites
Tzourio-Mazoyer, N., Landeau, B., Papathanassiou, D., Crivello, F., Etard, O., Delcroix, N., Mazoyer, B., & Joliot, M. (2002) · NeuroImage · doi:10.1006/nimg.2001.0978 · Cited by 16,319 · see citing works
Complex brain networks: graph theoretical analysis of structural and functional systems
Bullmore, E., & Sporns, O. (2009) · Nature Reviews Neuroscience · doi:10.1038/nrn2575 · Cited by 11,820 · see citing works
Nonparametric permutation tests for functional neuroimaging: A primer with examples
Nichols, T. E., & Holmes, A. P. (2002) · Human Brain Mapping · doi:10.1002/hbm.1058 · Cited by 6,256 · see citing works
A nonparametric method for automatic correction of intensity nonuniformity in MRI data
Sled, J. G., Zijdenbos, A. P., & Evans, A. C. (1998) · IEEE Transactions on Medical Imaging · doi:10.1109/42.668698 · Cited by 4,731 · see citing works
Automatic 3D intersubject registration of MR volumetric data in standardized Talairach space
Collins, D. L., Neelin, P., Peters, T. M., & Evans, A. C. (1994) · Journal of Computer Assisted Tomography · doi:10.1097/00004728-199403000-00005 · Cited by 3,431 · cited 1× · see citing works
“Briefly, native MRI images were registered into a standardized stereotaxic space using linear transformation [25].”
MethodMesulam, M. (1998) · Brain · doi:10.1093/brain/121.6.1013 · Cited by 3,072 · see citing works
The human orbitofrontal cortex: linking reward to hedonic experience
Kringelbach, M. L. (2005) · Nature Reviews Neuroscience · doi:10.1038/nrn1747 · Cited by 2,180 · see citing works
Thinning of the Cerebral Cortex in Aging
Salat, D. H. (2004) · Cerebral Cortex · doi:10.1093/cercor/bhh032 · Cited by 1,851 · see citing works
Dorsal and Ventral Attention Systems: Distinct Neural Circuits but Collaborative Roles
Vossel, S., Geng, J. J., & Fink, G. R. (2014) · The Neuroscientist · doi:10.1177/1073858413494269 · Cited by 1,438 · see citing works
Apathy and the Functional Anatomy of the Prefrontal Cortex–Basal Ganglia Circuits
Levy, R., & Dubois, B. (2006) · Cerebral Cortex · doi:10.1093/cercor/bhj043 · Cited by 1,285 · see citing works
Gong, G., He, Y., Concha, L., Lebel, C., Gross, D. W., Evans, A. C., & Beaulieu, C. (2009) · Cerebral Cortex · doi:10.1093/cercor/bhn102 · Cited by 1,112 · see citing works
Kim, J. S., Singh, V., Lee, J. K., Lerch, J. P., Ad-Dab’bagh, Y., MacDonald, D. J., Lee, J. M., Kim, S. I., & Evans, A. C. (2005) · NeuroImage · doi:10.1016/j.neuroimage.2005.03.036 · Cited by 816 · see citing works
Self-citationSmith, G. E., Housen, P., Yaffe, K., Ruff, R., Kennison, R. F., Mahncke, H. W., & Zelinski, E. M. (2009) · Journal of the American Geriatrics Society · doi:10.1111/j.1532-5415.2008.02167.x · Cited by 785 · see citing works
High Consistency of Regional Cortical Thinning in Aging across Multiple Samples
Fjell, A. M., Westlye, L. T., Amlien, I. K., Espeseth, T., Reinvang, I., Raz, N., Agartz, I., Salat, D. H., Greve, D. N., Fischl, B. R., et al. (2009) · Cerebral Cortex · doi:10.1093/cercor/bhn232 · Cited by 702 · see citing works
Computerized Cognitive Training with Older Adults: A Systematic Review
Kueider‐Paisley, A., Parisi, J. M., Gross, A. L., & Rebok, G. W. (2012) · PLoS ONE · doi:10.1371/journal.pone.0040588 · Cited by 657 · see citing works
Motivation of extended behaviors by anterior cingulate cortex
Holroyd, C. B., & Yeung, N. (2012) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2011.12.008 · Cited by 618 · see citing works
Socially Assistive Robots in Elderly Care: A Systematic Review into Effects and Effectiveness
Bemelmans, R., Gelderblom, G. J., Jonker, P., & de Witte, L. (2012) · Journal of the American Medical Directors Association · doi:10.1016/j.jamda.2010.10.002 · Cited by 585 · see citing works
Cytoarchitecture and neural afferents of orbitofrontal cortex in the brain of the monkey
Morecraft, R. J., Geula, C., & Mesulam, M. ‐. (1992) · Journal of Comparative Neurology · doi:10.1002/cne.903230304 · Cited by 539 · see citing works
Distinct neural mechanisms of risk and ambiguity: A meta-analysis of decision-making
Krain, A. L., Wilson, A. M., Arbuckle, R., Castellanos, F. X., & Milham, M. P. (2006) · NeuroImage · doi:10.1016/j.neuroimage.2006.02.047 · Cited by 522 · see citing works
Heilman, K. M., & Valenstein, E. (1972) · Neurology · doi:10.1212/wnl.22.6.660 · Cited by 447 · see citing works
Self-citationFocal Decline of Cortical Thickness in Alzheimer's Disease Identified by Computational Neuroanatomy
Lerch, J. P., Pruessner, J. C., Zijdenbos, A. P., Hampel, H. J., Teipel, S. J., & Evans, A. C. (2004) · Cerebral Cortex · doi:10.1093/cercor/bhh200 · Cited by 431 · see citing works
Luciana, M., & Nelson, C. A. (2002) · Developmental Neuropsychology · doi:10.1207/s15326942dn2203_3 · Cited by 400 · see citing works
Ballmaier, M., Toga, A. W., Blanton, R. E., Sowell, E. R., Lavretsky, H., Peterson, J. R., Pham, D. L., & Kumar, A. (2004) · American Journal of Psychiatry · doi:10.1176/appi.ajp.161.1.99 · Cited by 384 · see citing works
Effects of memory training on cortical thickness in the elderly
Engvig, A., Fjell, A., Westlye, L., Moberget, T., Sundseth, Ø., Larsen, V. A., & Walhovd, K. (2010) · NeuroImage · doi:10.1016/j.neuroimage.2010.05.041 · Cited by 383 · see citing works
Shorter term aerobic exercise improves brain, cognition, and cardiovascular fitness in aging
Chapman, S. B., Aslan, S., Spence, J. S., DeFina, L. F., Keebler, M. W., Didehbani, N., & Lu, H. (2013) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2013.00075 · Cited by 381 · see citing works
Valenzuela, M., & Sachdev, P. S. (2009) · American Journal of Geriatric Psychiatry · doi:10.1097/jgp.0b013e3181953b57 · Cited by 348 · see citing works
Nouchi, R., Taki, Y., Takeuchi, H., Hashizume, H., Akitsuki, Y., Shigemune, Y., Sekiguchi, A., Kotozaki, Y., Tsukiura, T., Yomogida, Y., et al. (2012) · PLoS ONE · doi:10.1371/journal.pone.0029676 · Cited by 346 · see citing works
Dietary and lifestyle guidelines for the prevention of Alzheimer's disease
Barnard, N. D., Bush, A. I., Ceccarelli, A., Cooper, J. K., de Jager, C. A., Erickson, K. I., Fraser, G. E., Kesler, S. R., Levin, S., Lucey, B. P., et al. (2014) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2014.03.033 · Cited by 340 · see citing works
Chun, M. Y. (2012) · Korean Journal of Family Medicine · doi:10.4082/kjfm.2012.33.3.144 · Cited by 332 · see citing works
Gender difference analysis of cortical thickness in healthy young adults with surface-based methods
Im, K., Lee, M.-J., Lee, J., Shin, Y.-W., Kim, I. Y., Kwon, J. M., & Kim, S. I. (2006) · NeuroImage · doi:10.1016/j.neuroimage.2005.11.042 · Cited by 294 · see citing works
Self-citationHan, C., Jo, S. A., Jo, I., Kim, E., Park, M. H., & Kang, Y. (2007) · Archives of Gerontology and Geriatrics · doi:10.1016/j.archger.2007.08.012 · Cited by 290 · see citing works
Generation of neuronal variability and complexity
Muotri, A. R., & Gage, F. H. (2006) · Nature · doi:10.1038/nature04959 · Cited by 271 · see citing works
Watson, R. T., Heilman, K. M., Cauthen, J. C., & King, F. A. (1973) · Neurology · doi:10.1212/wnl.23.9.1003 · Cited by 264 · see citing works
Self-citationSystematic review of health behavioral risks and cognitive health in older adults
Lee, Y., Back, J. H., Kim, J., Kim, S.-H., Na, D. L., Cheong, H., Hong, C. H., & Kim, Y. G. (2009) · International Psychogeriatrics · doi:10.1017/s1041610209991189 · Cited by 250 · see citing works
Self-citationTraining and Maintaining Memory Abilities in Healthy Older Adults: Traditional and Novel Approaches
Rebok, G. W., Carlson, M. C., & Langbaum, J. B. S. (2007) · The Journals of Gerontology Series B · doi:10.1093/geronb/62.special_issue_1.53 · Cited by 243 · see citing works
Ilg, R., Wohlschläger, A. M., Christian Gaser, B., Liebau, Y., Dauner, R., Wöller, A. A., Zimmer, C., Zihl, J., & Mühlau, M. (2008) · Journal of Neuroscience · doi:10.1523/jneurosci.5722-07.2008 · Cited by 214 · see citing works
Cognitive Exercise and Its Role in Cognitive Function in Older Adults
Gates, N., & Valenzuela, M. (2010) · Current Psychiatry Reports · doi:10.1007/s11920-009-0085-y · Cited by 212 · see citing works
Visualization in biomedical computing
Robb, R. A. (1999) · Parallel Computing · doi:10.1016/s0167-8191(99)00076-9 · Cited by 210 · see citing works
The role of the ventromedial prefrontal cortex in memory consolidation
Nieuwenhuis, I. L. C., & Takashima, A. (2010) · Behavioural Brain Research · doi:10.1016/j.bbr.2010.12.009 · Cited by 195 · see citing works
Cheng, Y., Wu, W.-Y., Feng, W., Wang, J.-Q., Chen, Y., Shen, Y., Li, Q., Zhang, X., & Li, C.-B. (2012) · BMC Medicine · doi:10.1186/1741-7015-10-30 · Cited by 174 · see citing works
Age‐related changes in topological organization of structural brain networks in healthy individuals
Wu, K., Taki, Y., Sato, K., Kinomura, S., Goto, R., Okada, K., Kawashima, R., Yong He, A., Evans, A. C., & Fukuda, H. (2011) · Human Brain Mapping · doi:10.1002/hbm.21232 · Cited by 173 · see citing works
Liu, Y., Bengson, J. J., Huang, H., Mangun, G. R., & Ding, M. (2014) · Cerebral Cortex · doi:10.1093/cercor/bhu204 · Cited by 168 · see citing works
A role for primate subgenual cingulate cortex in sustaining autonomic arousal
Rudebeck, P. H., Putnam, P. T., Daniels, T. E., Yang, T., Mitz, A. R., Rhodes, S. E. V., & Murray, E. A. (2014) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1317695111 · Cited by 160 · see citing works
The association between computer use and cognition across adulthood: Use it so you won't lose it?
Tun, P. A., & Lachman, M. E. (2010) · Psychology and Aging · doi:10.1037/a0019543 · Cited by 156 · see citing works
Effects of laughter therapy on depression, cognition and sleep among the community‐dwelling elderly
Ko, H., & Youn, C. (2011) · Geriatrics and gerontology international/Geriatrics & gerontology international · doi:10.1111/j.1447-0594.2010.00680.x · Cited by 154 · see citing works
Hemispheric asymmetry for visual information processing
Hellige, J. B. (1996) · Acta Neurobiologiae Experimentalis · doi:10.55782/ane-1996-1151 · Cited by 114 · see citing works
Concept-based behavioral planning and the lateral prefrontal cortex.
Tanji, J., Shima, K., & Mushiake, H. (2007) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2007.09.007 · Cited by 113 · see citing works
Automatic quantification of multiple sclerosis lesion volume using stereotaxic space
Zijdenbos, A. P., Evans, A. C., Riahi, F., Sled, J. G., Chui, J., & Kollokian, V. (1996) · Lecture notes in computer science · doi:10.1007/bfb0046984 · Cited by 113 · see citing works
Task Dependence of Visual and Category Representations in Prefrontal and Inferior Temporal Cortices
McKee, J. L., Riesenhuber, M., Miller, E., & Freedman, D. J. (2014) · Journal of Neuroscience · doi:10.1523/jneurosci.1660-14.2014 · Cited by 110 · see citing works
Changing topological patterns in normal aging using large-scale structural networks
Zhu, W., Wen, W. X., Yong He, A., Xia, A., Anstey, K. J., & Sachdev, P. S. (2010) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2010.06.022 · Cited by 106 · see citing works
Longitudinal changes of cortical thickness in early- versus late-onset Alzheimer's disease
Cho, H., Jeon, S., Kang, S. J., Lee, J. M., Lee, J., Kim, G. H., Shin, J. S., Kim, C. H., Noh, Y., Im, K., et al. (2013) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2013.01.004 · Cited by 106 · see citing works
Self-citationA longitudinal study of brain atrophy over two years in community-dwelling older individuals
Jiang, J., Sachdev, P. S., Lipnicki, D. M., Zhang, H., Liu, T., Zhu, W., Suo, C., Zhuang, L., Crawford, J., Reppermund, S., et al. (2013) · NeuroImage · doi:10.1016/j.neuroimage.2013.08.022 · Cited by 105 · see citing works
Cortical thickness changes following spatial navigation training in adulthood and aging
Wenger, E., Schaefer, S., Noack, H., Kühn, S., Mårtensson, J., Heinze, H., Düzel, E., Bäckman, L., Lindenberger, U., & Lövdén, M. (2011) · NeuroImage · doi:10.1016/j.neuroimage.2011.11.015 · Cited by 100 · see citing works
Is Cognitive Training an Effective Treatment for Preclinical and Early Alzheimer's Disease?
Gates, N. J., & Sachdev, P. S. (2014) · Journal of Alzheimer s Disease · doi:10.3233/jad-141302 · Cited by 94 · see citing works
Pieramico, V., Esposito, R., Sensi, F., Cilli, F., Mantini, D., Mattei, P. A., Frazzini, V., Ciavardelli, D., Gatta, V., Ferretti, A., et al. (2012) · PLoS ONE · doi:10.1371/journal.pone.0043901 · Cited by 80 · see citing works
Effects of demographic factors on cortical thickness in Alzheimer's disease
Seo, S. W., Im, K., Lee, J. M., Kim, S. T., Ahn, H. J., Go, S. M., Kim, S.-H., & Na, D. L. (2009) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2009.02.004 · Cited by 78 · see citing works
Self-citationPreserving Cognition Through an Integrated Cognitive Stimulation and Training Program
Eckroth-Bucher, M., & Siberski, J. (2009) · American Journal of Alzheimer s Disease & Other Dementias® · doi:10.1177/1533317509332624 · Cited by 75 · see citing works
Variations in cortical thickness with dementia severity in Alzheimer's disease
Im, K., Lee, J. M., Seo, S. W., Yoon, U., Kim, S. T., Kim, Y., Kim, S. I., & Na, D. L. (2008) · Neuroscience Letters · doi:10.1016/j.neulet.2008.03.032 · Cited by 56 · see citing works
Self-citationDevelopment of the Korean version of Alzheimer's Disease Assessment Scale (ADAS‐K)
Youn, J. C., Lee, D. Y., Kim, K. W., et al. (2002) · International Journal of Geriatric Psychiatry · doi:10.1002/gps.699 · Cited by 46 · see citing works
Robotics and Intelligent Systems in Support of Society
Reddy, R. (2006) · IEEE Intelligent Systems · doi:10.1109/mis.2006.57 · Cited by 46 · see citing works
Age Effects on Cortical Thickness in Cognitively Normal Elderly Individuals
Hurtz, S., Woo, E., Kebets, V., Green, A. E., Zoumalan, C., Wang, B. L., Ringman, J. M., Thompson, P. M., & Apostolova, L. G. (2014) · Dementia and Geriatric Cognitive Disorders Extra · doi:10.1159/000362872 · Cited by 43 · see citing works
Szatkowska, I., Szymańska, O., Marchewka, A., Soluch, P., & Rymarczyk, K. (2011) · Neurobiology of Learning and Memory · doi:10.1016/j.nlm.2011.06.014 · Cited by 24 · see citing works
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Cirillo, D., Catuara-Solarz, S., Morey, C., Guney, E., Subirats, L., Mellino, S., Gigante, A., Valencia, A., Rementeria, M. J., Chadha, A. S., et al. (2020) · npj Digital Medicine · doi:10.1038/s41746-020-0288-5 · Cited by 553 · see citing works
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Korchut, A., Szklener, S., Abdelnour, C., Tantinya, N., Hernández-Farigola, J., Ribes, J. C., Skrobas, U., Grabowska-Aleksandrowicz, K., Szczęśniak-Stańczyk, D., & Rejdak, K. (2017) · Frontiers in Neurology · doi:10.3389/fneur.2017.00228 · Cited by 84 · see citing works
Gasteiger, N., Ahn, H. S., Lee, C., Lim, J., MacDonald, B. A., Kim, G. H., & Broadbent, E. (2022) · ACM Transactions on Human-Robot Interaction · doi:10.1145/3533726 · Cited by 78 · see citing works
Self-citationVogan, A. A., Alnajjar, F., Gochoo, M., & Khalid, S. (2020) · IEEE Access · doi:10.1109/access.2020.2966819 · Cited by 63 · see citing works
Gates, N. J., Rutjes, A. W., Di Nisio, M., Karim, S., Chong, L.-Y., March, E., Martínez, G., & Vernooij, R. W. (2019) · Cochrane Database of Systematic Reviews · doi:10.1002/14651858.cd012278.pub2 · Cited by 46 · see citing works
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- Authors
- Kim, G. H., Jeon, S., Im, K., Kwon, H., Lee, B. H., Kim, G. Y., Jeong, H., Han, N. E., Seo, S. W., Cho, H., Noh, Y., Park, S. E., Kim, H., Hwang, J. W., Yoon, C. W., Kim, H. J., Ye, B. S., Chin, J. H., Kim, J.-H., Suh, M. K., Lee, J. M., Kim, S. T., Choi, M.-T., Kim, M. S., Heilman, K. M., Jeong, J. H., & Na, D. L.
- Affiliations
- Ewha Womans University (KR)
- Hanyang University (KR)
- Boston Children's Hospital (US)
- Samsung Medical Center (KR)
- Asan Medical Center (KR)
- Yonsei University (KR)
- Gachon University Gil Medical Center (KR)
- Sungkyunkwan University (KR)
- Inha University (KR)
- Korea Institute of Science and Technology (KR)
- University of Florida (US)
- Corresponding author
- Na, Duk L.
- ORCID
- Venue
- PLOS ONE
- Publisher
- Public Library of Science (PLoS)
- Published
- 2015-04-21
- Volume
- 10
- Issue
- 4
- Pages
- e0123251
- ISSN
- 1932-6203 (ISSN-L)
- PMC
- PMC4405358
- OpenAlex
- W2063170297
- Cited by
- 101
- References
- 62
- Citations by year
- 2026: 6 · 2025: 9 · 2024: 8 · 2023: 10 · 2022: 11 · 2021: 10 · 2020: 18 · 2019: 12 · 2018: 7 · 2017: 5 · 2016: 4 · 2015: 1
- FWCI
- 4.59
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- public-domain
- creativecommons.org/publicdomain/zero/1.0/ (vor)
- Locations
- PLoS ONE (publishedVersion, public-domain)
- PubMed Central (publishedVersion, public-domain)
- PubMed (publishedVersion)
- Digital Access to Scholarship at Harvard (DASH) (Harvard University) (submittedVersion, cc-by)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Figshare (submittedVersion, cc-by)
- YUHSpace (Yonsei University Medical Library) (submittedVersion, cc-by-nc-nd)
- The Royal Society of Chemistry’s Journals, Books and Databases (The Royal Society of Chemistry) (submittedVersion, public-domain)
- Funders
- Korea Science and Engineering Foundation (2011-0028333)
- Samsung
- Topics
- Health Sciences › Medicine › Psychiatry and Mental health › Dementia and Cognitive Impairment Research
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Cognitive Abilities and Testing
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Cognitive Functions and Memory
- Keywords
- cortical thickness, cortical thinning, aging, older adults, community-dwelling older adults, anterior cingulate cortex, brain structural changes
- MeSH terms
- Aged, Brain, Cognition, Dementia, Female, Humans, Male, Middle Aged, Organ Size, Robotics, Cognitive Behavioral Therapy, Treatment Outcome, Independent Living
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