Neural plastic effects of cognitive training on aging brain

Neural Plasticity

Volumn 2015, Issue , 2015, Pages

  Leung, Natalie T Y ^a   Tam, Helena M K ^a   Chu, Leung W ^a   Kwok, Timothy C Y ^b   Chan, Felix ^c   Lam, Linda C W ^b   Woo, Jean ^b   Lee, Tatia M C ^a,d  

^a UNIVERSITY OF HONG KONG   (Hong Kong)

^b CHINESE UNIVERSITY OF HONG KONG   (Hong Kong)

^c Institute of Clinical Neuropsychology University of Hong Kong ^*  (Hong Kong)

^d UNIVERSITY OF HONG KONG   (Hong Kong)

Author keywords

[No Author keywords available]

Indexed keywords

AGED; AGING; ARTICLE; ATTENTION; BEHAVIOR CHANGE; BRAIN; COGNITION; COGNITIVE DEFECT; COGNITIVE REHABILITATION; COGNITIVE TRAINING; CONTROLLED STUDY; DEPRESSION; FEMALE; GERIATRIC DEPRESSION SCALE; HOSPITAL ANXIETY AND DEPRESSION SCALE; HUMAN; INFORMATION PROCESSING; LONGITUDINAL STUDY; MAJOR CLINICAL STUDY; MALE; MONTREAL COGNITIVE ASSESSMENT; NERVE CELL PLASTICITY; RANDOMIZED CONTROLLED TRIAL; SINGLE BLIND PROCEDURE; SPATIAL MEMORY; VISUAL MEMORY; WECHSLER ADULT INTELLIGENCE SCALE; WORKING MEMORY; AROUSAL; AUDITORY STIMULATION; COGNITIVE THERAPY; DEPTH PERCEPTION; GROWTH, DEVELOPMENT AND AGING; MIDDLE AGED; PHYSIOLOGY; PSYCHOLOGY; PSYCHOMOTOR PERFORMANCE; RECALL; SHORT TERM MEMORY; VERY ELDERLY;

ACOUSTIC STIMULATION; AGED; AGED, 80 AND OVER; AGING; AROUSAL; ATTENTION; BRAIN; COGNITIVE THERAPY; FEMALE; HUMANS; LONGITUDINAL STUDIES; MALE; MEMORY, SHORT-TERM; MENTAL RECALL; MIDDLE AGED; NEURONAL PLASTICITY; PSYCHOMOTOR PERFORMANCE; SPACE PERCEPTION;

EID: 84941730064     PISSN: 20905904     EISSN: 16875443     Source Type: Journal    
DOI: 10.1155/2015/535618     Document Type: Article

References (54)

1. A. May. Experience-dependent structural plasticity in the adult human brain. Trends in Cognitive Sciences, vol. 15, no. 10, pp. 475-482, 2011.
2. B. Draganski, C. Gaser, V. Busch, G. Schuierer, U. Bogdahn, and A. May. Neuroplasticity: changes in grey matter induced by training. Nature, vol. 427, no. 6972, pp. 311-312, 2004.
3. E. A. Maguire, D. G. Gadian, I. S. Johnsrude et al. Navigationrelated structural change in the hippocampi of taxi drivers. Proceedings of the National Academy of Sciences of the United States of America, vol. 97, no. 8, pp. 4398-4403, 2000.
4. T. F. Munte, E. Altenmuller, and L. Jancke. Themusician's brain as amodel of neuroplasticity. Nature Reviews Neuroscience, vol. 3, pp. 473-478, 2002.
5. J. Scholz, M. C. Klein, T. E. J. Behrens, and H. Johansen-Berg. Training induces changes inwhite-matter architecture. Nature Neuroscience, vol. 12, no. 11, pp. 1370-1371, 2009.
6. T. M. C. Lee, M. K. Leung, W.-K. Hou et al. Distinct neural activity associated with focused-Attention meditation and loving-kindnessmeditation. PLoS ONE, vol. 7, no. 8, Article ID e40054, 2012.
7. M.-K. Leung, C. C. H. Chan, J. Yin, C.-F. Lee, K.-F. So, and T. M. C. Lee. Increased gray matter volume in the right angular and posterior parahippocampal gyri in loving-kindnessmeditators. Social Cognitive and Affective Neuroscience, vol. 8, no. 1, pp. 34-39, 2013.
8. A. Lutz, H. A. Slagter, J.D. Dunne, and R. J. Davidson. Attention regulation and monitoring in meditation. Trends in Cognitive Sciences, vol. 12, no. 4, pp. 163-169, 2008.
9. A. Lutz, J. Brefczynski-Lewis, T. Johnstone, and R. J. Davidson. Regulation of the neural circuitry of emotion by compassion meditation: effects of meditative expertise. PLoS ONE, vol. 3, no. 3, Article ID e1897, 2008.
10. T. Hedden and J. D. E. Gabrieli. Insights into the ageing mind: a view from cognitive neuroscience. Nature Reviews Neuroscience, vol. 5, no. 2, pp. 87-96, 2004.
11. S. M. Resnick, D. L. Pham, M. A. Kraut, A. B. Zonderman, and C. Davatzikos. Longitudinal magnetic resonance imaging studies of older adults: a shrinking brain. The Journal of Neuroscience, vol. 23, no. 8, pp. 3295-3301, 2003.
12. D. H. Salat, R. L. Buckner, A. Z. Snyder et al. Thinning of the cerebral cortex in aging. Cerebral Cortex, vol. 14, no. 7, pp. 721-730, 2004.
13. E. R. Sowell, B. S. Peterson, P. M. Thompson, S. E. Welcome, A. L. Henkenius, and A.W. Toga. Mapping cortical change across the human life span. Nature Neuroscience, vol. 6, no. 3, pp. 309-315, 2003.
14. J. S. Damoiseaux, C. F. Beckmann, E. J. S. Arigita et al. Reduced resting-state brain activity in the 'default network' in normal aging. Cerebral Cortex, vol. 18, no. 8, pp. 1856-1864, 2008.
15. F. Sambataro, V. P. Murty, J. H. Callicott et al. Age-related alterations in default mode network: impact on working memory performance. Neurobiology of Aging, vol. 31, no. 5, pp. 839-852, 2010.
16. D. J. Madden. Aging and visual attention. Current Directions in Psychological Science, vol. 16, no. 2, pp. 70-74, 2007.
17. L. Jenkins, J. Myerson, J. A. Joerding, and S. Hale. Converging evidence that visuospatial cognition is more age-sensitive than verbal cognition. Psychology and Aging, vol. 15, no. 1, pp. 157-175, 2000.
18. E. Borella, B. Carretti, and R. de Beni. Working memory and inhibition across the adult life-span. Acta Psychologica, vol. 128, no. 1, pp. 33-44, 2008.
19. K. L. Campbell, C. L. Grady, C. Ng, and L. Hasher. Age differences in the frontoparietal cognitive control network: implications for distractibility. Neuropsychologia, vol. 50, no. 9, pp. 2212-2223, 2012.
20. L. Geerligs, E. Saliasi, N. M. Maurits, R. J. Renken, and M. M. Lorist. Brain mechanisms underlying the effects of aging on different aspects of selective attention. NeuroImage, vol. 91, pp. 52-62, 2014.
21. T. M. Mani, J. S. Bedwell, and L. S. Miller. Age-related decrements in performance on a brief continuous performance test, 'Archives of ClinicalNeuropsychology, vol. 20, no. 5, pp. 575-586, 2005.
22. D. J. Madden, J. Spaniol, W. L. Whiting et al. Adult age differences in the functional neuroanatomy of visual attention: a combined fMRI and DTI study. Neurobiology of Aging, vol. 28, no. 3, pp. 459-476, 2007.
23. V. S. Mattay, F. Fera, A. Tessitore et al. Neurophysiological correlates of age-related changes in working memory capacity. Neuroscience Letters, vol. 392, no. 1-2, pp. 32-37, 2006.
24. L. G. Nilsson. Memory function in normal aging. Acta Neurologica Scandinavica, Supplement, vol. 107, no. 179, pp. 7-13, 2003.
25. L. Nyberg, S. B. Maitland, M. Ronnlund et al. Selective adult age differences in an age-invariant multifactor model of declarative memory. Psychology and Aging, vol. 18, no. 1, pp. 149-160, 2003.
26. J. Persson, S. Pudas, J. Lind, K. Kauppi, L.-G. Nilsson, and L. Nyberg. Longitudinal structure-function correlates in elderly reveal MTL dysfunction with cognitive decline. Cerebral Cortex, vol. 22, no. 10, pp. 2297-2304, 2012.
27. K. I. Erickson, S. J. Colcombe, R. Wadhwa et al. Traininginduced plasticity in older adults: Effects of training on hemispheric asymmetry. Neurobiology of Aging, vol. 28, no. 2, pp. 272-283, 2007.
28. R. Cabeza. Hemispheric asymmetry reduction in older adults: the HAROLD model. Psychology and Aging, vol. 17, no. 1, pp. 85-100, 2002.
29. R. Cabeza, N. D. Anderson, J. K. Locantore, and A. R. McIntosh. Aging gracefully: compensatory brain activity in highperforming older adults. NeuroImage, vol. 17, no. 3, pp. 1394-1402, 2002.
30. J. Boyke, J. Driemeyer, C. Gaser, C. Buchel, and A. May. Training-induced brain structure changes in the elderly. The Journal of Neuroscience, vol. 28, no. 28, pp. 7031-7035, 2008.
31. S. J. Colcombe, K. I. Erickson, P. E. Scalf et al. Aerobic exercise training increases brain volume in aging humans. Journals of Gerontology-Series A Biological Sciences and Medical Sciences, vol. 61, no. 11, pp. 1166-1170, 2006.
32. M. Buschkuehl, S. M. Jaeggi, S. Hutchison et al. Impact of working memory training on memory performance in old-old adults. Psychology and Aging, vol. 23, no. 4, pp. 743-753, 2008.
33. H. W. Mahncke, B. B. Connor, J. Appelman et al. Memory enhancement in healthy older adults using a brain plasticitybased training program: a randomized, controlled study. Proceedings of the National Academy of Sciences of the United States of America, vol. 103, no. 33, pp. 12523-12528, 2006.
34. H. Takeuchi, A. Sekiguchi, Y. Taki et al. Training of working memory impacts structural connectivity. The Journal of Neuroscience, vol. 30, no. 9, pp. 3297-3303, 2010.
35. J. L. Mozolic, A. B. Long, A. R. Morgan, M. Rawley-Payne, and P. J. Laurienti. A cognitive training intervention improves modality-specific attention in a randomized controlled trial of healthy older adults. Neurobiology of Aging, vol. 32, no. 4, pp. 655-668, 2011.
36. G. E. Smith, P. Housen, K. Yaffe et al. A cognitive training program based on principles of brain plasticity: results from the improvement in memory with plasticity-based adaptive cognitive training (IMPACT) study. Journal of the American Geriatrics Society, vol. 57, no. 4, pp. 594-603, 2009.
37. D. E. Barnes, K. Yaffe, N. Belfor et al. Computer-based cognitive training for mild cognitive impairment: results from a pilot randomized, controlled trial. Alzheimer Disease and Associated Disorders, vol. 23, no. 3, pp. 205-210, 2009.
38. A. C. Rosen, L. Sugiura, J. H. Kramer, S. Whitfield-Gabrieli, and J. D. Gabrieli. Cognitive training changes hippocampal function in mild cognitive impairment: a Pilot Study. Journal of Alzheimer's Disease, vol. 26, no. 3, pp. 349-357, 2011.
39. S. Gauthier, B. Reisberg, M. Zaudig et al. Mild cognitive impairment, 'The Lancet, vol. 367, no. 9518, pp. 1262-1270, 2006.
40. R. C. Petersen. Mild cognitive impairment. The New England Journal of Medicine, vol. 364, no. 23, pp. 2227-2234, 2011.
41. Z. S. Nasreddine, N. A. Phillips, V. Bedirian et al. The Montreal Cognitive Assessment, MoCA: a brief screening tool for mild cognitive impairment. Journal of the American Geriatrics Society, vol. 53, no. 4, pp. 695-699, 2005.
42. C. B. Dodrill and N. S. Thoreson. Reliability of the lateral dominance examination. Journal of Clinical and Experimental Neuropsychology, vol. 15, no. 2, pp. 183-190, 1993.
43. L Brown, R. J. Sherbenou, and S. K. Johnsen, Test of Nonverbal Intelligence, PRO-ED, Austin, Tex, USA, 3rd edition, 1997.
44. R Snaith and A. S. Zigmond, HADS: Hospital Anxiety and Depression Scale, NFER Nelson, Windsor, Canada, 1994.
45. T. A. Salthouse. The processing-speed theory of adult age differences in cognition. Psychological Review, vol. 103, no. 3, pp. 403-428, 1996.
46. A. Ardila, F. Ostrosky-Solis, M. Rosselli, and C. Gomez. Agerelated cognitive decline during normal aging: the complex effect of education. Archives of Clinical Neuropsychology, vol. 15, no. 6, pp. 495-513, 2000.
47. P. J. Modrego and J. Ferrandez. Depression in patients with mild cognitive impairment increases the risk of developing dementia of Alzheimer type: a prospective cohort study. Archives of Neurology, vol. 61, no. 8, pp. 1290-1293, 2004.
48. H. M. K. Tam, C. L. M. Lam, H. Huang, B. Wang, and T. M. C. Lee. Age-related difference in relationships between cognitive processing speed and general cognitive status. Applied Neuropsychology: Adult, vol. 22, no. 2, pp. 94-99, 2015.
49. J. A. Kleim and T. A. Jones. Principles of experience-dependent neural plasticity: implications for rehabilitation after brain damage. Journal of Speech, Language, and Hearing Research, vol. 51, no. 1, pp. S225-S239, 2008.
50. K. Ball, D. B. Berch, K. F. Helmers et al. Effects of cognitive training interventions with older adults: a randomized controlled trial. Journal of the American Medical Association, vol. 288, no. 18, pp. 2271-2281, 2002.
51. J. B. Pitcher, K. M. Ogston, and T. S. Miles. Age and sex differences in humanmotor cortex input-output characteristics. The Journal of Physiology, vol. 546, no. 2, pp. 605-613, 2003.
52. S. L. Willis, S. L. Tennstedt, M. Marsiske et al. Long-Term effects of cognitive training on everyday functional outcomes in older adults. Journal of the American Medical Association, vol. 296, no. 23, pp. 2805-2814, 2006.
53. J. A. Anguera, J. Boccanfuso, J. L. Rintoul et al. Video game training enhances cognitive control in older adults. Nature, vol. 501, no. 7465, pp. 97-101, 2013.
54. T. C. Y. Kwok, X. Bai, J. C. Y. Li, F. K. Y. Ho, and T. M. C. Lee. Effectiveness of cognitive training in Chinese older people with subjective cognitive complaints: a randomized placebocontrolled trial. International Journal of Geriatric Psychiatry, vol. 28, no. 2, pp. 208-215, 2013.