Effects of cognitive training on resting-state functional connectivity of default mode, salience, and central executive networks

Frontiers in Aging Neuroscience

Volumn 8, Issue APR, 2016, Pages

  Cao, Weifang ^a   Cao, Xinyi ^b   Hou, Changyue ^a   Li, Ting ^c   Cheng, Yan ^b   Jiang, Lijuan ^b   Luo, Cheng ^a   Li, Chunbo ^b,d   Yao, Dezhong ^a  

^a UNIVERSITY OF ELECTRONIC SCIENCE AND TECHNOLOGY OF CHINA   (China)

^b SHANGHAI JIAO TONG UNIVERSITY SCHOOL OF MEDICINE   (China)

^c Shanghai Drug Abuse Treatment Centre   (China)

^d SHANGHAI JIAO TONG UNIVERSITY   (China)

Author keywords

Aging; Brain network; Cognitive training; Functional connectivity; Resting state fMRI

Indexed keywords

ADULT; AGING; CASE REPORT; COMMUNITY LIVING; CONTROL GROUP; CONTROLLED STUDY; DEFAULT MODE NETWORK; FUNCTIONAL MAGNETIC RESONANCE IMAGING; HUMAN; REST;

EID: 84974651719     PISSN: None     EISSN: 16634365     Source Type: Journal    
DOI: 10.3389/fnagi.2016.00070     Document Type: Article

References (66)

1. Andrews-Hanna, J. R., Snyder, A. Z., Vincent, J. L., Lustig, C., Head, D., Raichle, M. E., et al. (2007). Disruption of large-scale brain systems in advanced aging. Neuron 56, 924-935. doi: 10.1016/j.neuron.2007.10.038
2. Ashendorf, L., Jefferson, A. L., O'Connor, M. K., Chaisson, C., Green, R. C., and Stern, R. A. (2008). Trail Making Test errors in normal aging, mild cognitive impairment, and dementia. Arch. Clin. Neuropsychol. 23, 129-137. doi: 10.1016/j.acn.2007.11.005
3. Bamidis, P. D., Fissler, P., Papageorgiou, S. G., Zilidou, V., Konstantinidis, E. I., Billis, A. S., et al. (2015). Gains in cognition through combined cognitive and physical training: the role of training dosage and severity of neurocognitive disorder. Front. Aging Neurosci. 7:152. doi: 10.3389/fnagi.2015.00152
4. Bamidis, P. D., Vivas, A. B., Styliadis, C., Frantzidis, C., Klados, M., Schlee, W., et al. (2014). A review of physical and cognitive interventions in aging. Neurosci. Biobehav. Rev. 44, 206-220. doi: 10.1016/j.neubiorev.2014.03.019
5. Bernard, J. A., Peltier, S. J., Wiggins, J. L., Jaeggi, S. M., Buschkuehl, M., Fling, B. W., et al. (2013). Disrupted cortico-cerebellar connectivity in older adults. Neuroimage 83C, 103-119. doi: 10.1016/j.neuroimage.2013.06.042
6. Bressler, S. L., and Menon, V. (2010). Large-scale brain networks in cognition: emerging methods and principles. Trends Cogn Sci. 14, 277-290. doi: 10.1016/j.tics.2010.04.004
7. Buckner, R. L., Andrews-Hanna, J. R., and Schacter, D. L. (2008). The brain's default network: anatomy, function, and relevance to disease. Ann. N. Y. Acad. Sci. 1124, 1-38. doi: 10.1196/annals.1440.011
8. Calhoun, V. D., Eichele, T., and Pearlson, G. (2009). Functional brain networks in schizophrenia: a review. Front. Hum. Neurosci. 3:17. doi: 10.3389/neuro.09.017.2009
9. Cao, W., Luo, C., Zhu, B., Zhang, D., Dong, L., Gong, J., et al. (2014). Resting-state functional connectivity in anterior cingulate cortex in normal aging. Front. Aging Neurosci. 6:280. doi: 10.3389/fnagi.2014.00280
10. Chapman, S. B., Aslan, S., Spence, J. S., Hart, J. J. Jr., Bartz, E. K., Didehbani, N., et al. (2015). Neural mechanisms of brain plasticity with complex cognitive training in healthy seniors. Cereb. Cortex 25, 396-405. doi: 10.1093/cercor/bht234
11. Chen, X., Duan, M., Xie, Q., Lai, Y., Dong, L., Cao, W., et al. (2015). Functional disconnection between the visual cortex and the sensorimotor cortex suggests a potential mechanism for self-disorder in schizophrenia. Schizophr. Res. 166, 151-157. doi: 10.1016/j.schres.2015.06.014
12. Cheng, Y., Wu, W., Feng, W., Wang, J., Chen, Y., Shen, Y., et al. (2012). The effects of multi-domain versus single-domain cognitive training in non-demented older people: a randomized controlled trial. BMC Med. 10:30. doi: 10.1186/1741-7015-10-30
13. Cheng, Y., Wu, W., Wang, J., Feng, W., Wu, X., and Li, C. (2011). Reliability and validity of the repeatable battery for the assessment of neuropsychological status in community-dwelling elderly. Arch. Med. Sci. 7, 850-857. doi: 10.5114/aoms.2011.25561
14. Damoiseaux, J. S., Beckmann, C. F., Arigita, E. J., Barkhof, F., Scheltens, P., Stam, C. J., et al. (2008). Reduced resting-state brain activity in the "default network" in normal aging. Cereb. Cortex 18, 1856-1864. doi: 10.1093/cercor/bhm207
15. Fox, M. D., Snyder, A. Z., Vincent, J. L., Corbetta, M., Van Essen, D. C., and Raichle, M. E. (2005). The human brain is intrinsically organized into dynamic, anticorrelated functional networks. Proc. Natl. Acad. Sci. U.S.A. 102, 9673-9678. doi: 10.1073/pnas.0504136102
16. Fransson, P. (2006). How default is the default mode of brain function? Further evidence from intrinsic BOLD signal fluctuations. Neuropsychologia 44, 2836-2845. doi: 10.1016/j.neuropsychologia.2006.06.017
17. Grady, C. (2012). The cognitive neuroscience of ageing. Nat. Rev. Neurosci. 13, 491-505. doi: 10.1038/nrn3256
18. Guo, W., Liu, F., Zhang, Z., Liu, G., Liu, J., Yu, L., et al. (2015). Increased cerebellar functional connectivity with the default-mode network in unaffected siblings of schizophrenia patients at rest. Schizophr. Bull. 41, 1317-1325. doi: 10.1093/schbul/sbv062
19. Habas, C., Kamdar, N., Nguyen, D., Prater, K., Beckmann, C. F., Menon, V., et al. (2009). Distinct cerebellar contributions to intrinsic connectivity networks. J. Neurosci. 29, 8586-8594. doi: 10.1523/JNEUROSCI.1868-09.2009
20. He, X., Qin, W., Liu, Y., Zhang, X., Duan, Y., Song, J., et al. (2013). Abnormal salience network in normal aging and in amnestic mild cognitive impairment and Alzheimer's disease. Hum. Brain Mapp. 35, 3446-3464. doi: 10.1002/hbm.22414
21. Hedden, T., and Gabrieli, J. D. (2004). Insights into the ageing mind: a view from cognitive neuroscience. Nat. Rev. Neurosci. 5, 87-96. doi: 10.1038/nrn1323
22. Jiang, S., Luo, C., Liu, Z., Hou, C., Wang, P., Dong, L., et al. (2015). Altered local spontaneous brain activity in juvenile myoclonic epilepsy: a preliminary resting-state fMRI study. Neural Plast. 2015:635196. doi: 10.1155/2016/3547203
23. Kirchhoff, B. A., Anderson, B. A., Barch, D. M., and Jacoby, L. L. (2012). Cognitive and neural effects of semantic encoding strategy training in older adults. Cereb. Cortex 22, 788-799. doi: 10.1093/cercor/bhr129
24. Kraft, E. (2012). Cognitive function, physical activity, and aging: possible biological links and implications for multimodal interventions. Neuropsychol. Dev. Cogn. B Aging Neuropsychol. Cogn. 19, 248-263. doi: 10.1080/13825585.2011.645010
25. Kurth, F., Zilles, K., Fox, P. T., Laird, A. R., and Eickhoff, S. B. (2010). A link between the systems: functional differentiation and integration within the human insula revealed by meta-analysis. Brain Struct. Funct. 214, 519-534. doi: 10.1007/s00429-010-0255-z
26. Langer, N., von Bastian, C. C., Wirz, H., Oberauer, K., and Jancke, L. (2013). The effects of working memory training on functional brain network efficiency. Cortex 49, 2424-2438. doi: 10.1016/j.cortex.2013.01.008
27. Leung, N. T., Tam, H. M., Chu, L. W., Kwok, T. C., Chan, F., Lam, L. C., et al. (2015). Neural plastic effects of cognitive training on aging brain. Neural Plast. 2015:535618. doi: 10.1155/2015/535618
28. Li, C., Wu, W., Jin, H., Zhang, X., Xue, H., He, Y., et al. (2006). Successful aging in Shanghai, China: definition, distribution and related factors. Int. Psychogeriatr. 18, 551-563. doi: 10.1017/S1041610205002966
29. 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. Front. Aging Neurosci. 6:39. doi: 10.3389/fnagi.2014.00039
30. Lim, M. L., Collinson, S. L., Feng, L., and Ng, T. P. (2010). Cross-cultural application of the repeatable battery for the assessment of neuropsychological status (rbans): performances of elderly Chinese Singaporeans. Clin. Neuropsychol. 24, 811-826. doi: 10.1080/13854046.2010.490789
31. Luo, C., Li, Q., Lai, Y., Xia, Y., Qin, Y., Liao, W., et al. (2011). Altered functional connectivity in default mode network in absence epilepsy: a resting-state fMRI study. Hum. Brain Mapp. 32, 438-449. doi: 10.1002/hbm.21034
32. Luo, C., Qiu, C., Guo, Z., Fang, J., Li, Q., Lei, X., et al. (2012). Disrupted functional brain connectivity in partial epilepsy: a resting-state fMRI study. PLoS ONE 7:e28196. doi: 10.1371/journal.pone.0028196
33. Luo, C., Tu, S., Peng, Y., Gao, S., Li, J., Dong, L., et al. (2014a). Long-term effects of musical training and functional plasticity in salience system. Neural Plast. 2014:180138. doi: 10.1155/2014/180138
34. Luo, C., Yang, T., Tu, S., Deng, J., Liu, D., Li, Q., et al. (2014b). Altered intrinsic functional connectivity of the salience network in childhood absence epilepsy. J. Neurol. Sci. 339, 189-195. doi: 10.1016/j.jns.2014.02.016
35. 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. Front. Aging Neurosci. 8:32. doi: 10.3389/fnagi.2016.00032
36. Luo, C., Zhang, Y., Cao, W., Huang, Y., Yang, F., Wang, J., et al. (2015). Altered structural and functional feature of striato-cortical circuit in benign epilepsy with centrotemporal spikes. Int. J. Neural. Syst. 25:1550027. doi: 10.1142/S0129065715500276
37. Mackey, A. P., Miller Singley, A. T., and Bunge, S. A. (2013). Intensive reasoning training alters patterns of brain connectivity at rest. J. Neurosci. 33, 4796-4803. doi: 10.1523/JNEUROSCI.4141-12.2013
38. Menon, V. (2011). Large-scale brain networks and psychopathology: a unifying triple network model. Trends Cogn. Sci. 15, 483-506. doi: 10.1016/j.tics.2011.08.003
39. Meunier, D., Achard, S., Morcom, A., and Bullmore, E. (2009). Age-related changes in modular organization of human brain functional networks. Neuroimage 44, 715-723. doi: 10.1016/j.neuroimage.2008.09.062
40. Mevel, K., Landeau, B., Fouquet, M., La Joie, R., Villain, N., Mezenge, F., et al. (2013). Age effect on the default mode network, inner thoughts, and cognitive abilities. Neurobiol. Aging 34, 1292-1301. doi: 10.1016/j.neurobiolaging.2012.08.018
41. Neely, A. S., and Backman, L. (1995). Effects of multifactorial memory training in old age: generalizability across tasks and individuals. J. Gerontol. B Psychol. Sci. Soc. Sci. 50, 134-140. doi: 10.1093/geronb/50B.3.P134
42. Onoda, K., Ishihara, M., and Yamaguchi, S. (2012). Decreased functional connectivity by aging is associated with cognitive decline. J. Cogn. Neurosci. 24, 2186-2198. doi: 10.1162/jocn_a_00269
43. Oswald, W. D., Gunzelmann, T., Rupprecht, R., and Hagen, B. (2006). Differential effects of single versus combined cognitive and physical training with older adults: the SimA study in a 5-year perspective. Eur. J. Ageing 3, 179-192. doi: 10.1007/s10433-006-0035-z
44. Park, D. C., and Bischof, G. N. (2013). The aging mind: neuroplasticity in response to cognitive training. Dialogues Clin. Neurosci. 15, 109-119.
45. Patel, R., Spreng, R. N., and Turner, G. R. (2013). Functional brain changes following cognitive and motor skills training: a quantitative meta-analysis. Neurorehabil. Neural Repair 27, 187-199. doi: 10.1177/1545968312461718
46. Power, J. D., Barnes, K. A., Snyder, A. Z., Schlaggar, B. L., and Petersen, S. E. (2012). Spurious but systematic correlations in functional connectivity MRI networks arise from subject motion. Neuroimage 59, 2142-2154. doi: 10.1016/j.neuroimage.2011.10.018
47. Raichle, M. E., MacLeod, A. M., Snyder, A. Z., Powers, W. J., Gusnard, D. A., and Shulman, G. L. (2001). A default mode of brain function. Proc. Natl. Acad. Sci. U.S.A. 98, 676-682. doi: 10.1073/pnas.98.2.676
48. Ridderinkhof, K. R., van den Wildenberg, W. P., Segalowitz, S. J., and Carter, C. S. (2004). Neurocognitive mechanisms of cognitive control: the role of prefrontal cortex in action selection, response inhibition, performance monitoring, and reward-based learning. Brain Cogn. 56, 129-140. doi: 10.1016/j.bandc.2004.09.016
49. Seeley, W. W., Menon, V., Schatzberg, A. F., Keller, J., Glover, G. H., Kenna, H., et al. (2007). Dissociable intrinsic connectivity networks for salience processing and executive control. J. Neurosci. 27, 2349-2356. doi: 10.1523/JNEUROSCI.5587-06.2007
50. Shao, J., Myers, N., Yang, Q., Feng, J., Plant, C., Bohm, C., et al. (2012). Prediction of Alzheimer's disease using individual structural connectivity networks. Neurobiol. Aging 33, 2756-2765. doi: 10.1016/j.neurobiolaging.2012.01.017
51. Smith, S. M., Fox, P. T., Miller, K. L., Glahn, D. C., Fox, P. M., Mackay, C. E., et al. (2009). Correspondence of the brain's functional architecture during activation and rest. Proc. Natl. Acad. Sci. U.S.A. 106, 13040-13045. doi: 10.1073/pnas.0905267106
52. Sridharan, D., Levitin, D. J., and Menon, V. (2008). A critical role for the right fronto-insular cortex in switching between central-executive and default-mode networks. Proc. Natl. Acad. Sci. U.S.A. 105, 12569-12574. doi: 10.1073/pnas.0800005105
53. Strenziok, M., Parasuraman, R., Clarke, E., Cisler, D. S., Thompson, J. C., and Greenwood, P. M. (2014). Neurocognitive enhancement in older adults: comparison of three cognitive training tasks to test a hypothesis of training transfer in brain connectivity. Neuroimage 85(Pt 3), 1027-1039. doi: 10.1016/j.neuroimage.2013.07.069
54. Takeuchi, H., Taki, Y., Nouchi, R., Hashizume, H., Sekiguchi, A., Kotozaki, Y., et al. (2013). Effects of working memory training on functional connectivity and cerebral blood flow during rest. Cortex 49, 2106-2125. doi: 10.1016/j.cortex.2012.09.007
55. Tang, Y. Y., and Posner, M. I. (2014). Training brain networks and states. Trends Cogn. Sci. 18, 345-350. doi: 10.1016/j.tics.2014.04.002
56. Tanigawa, T., Takechi, H., Arai, H., Yamada, M., Nishiguchi, S., and Aoyama, T. (2014). Effect of physical activity on memory function in older adults with mild Alzheimer's disease and mild cognitive impairment. Geriatr. Gerontol. Int. 14, 758-762. doi: 10.1111/ggi.12159
57. Taylor, V. A., Daneault, V., Grant, J., Scavone, G., Breton, E., Roffe-Vidal, S., et al. (2013). Impact of meditation training on the default mode network during a restful state. Soc. Cogn. Affect. Neurosci. 8, 4-14. doi: 10.1093/scan/nsr087
58. Tomasi, D., and Volkow, N. D. (2012). Aging and functional brain networks. Mol. Psychiatry 17, 549-458. doi: 10.1038/mp.2011.81
59. van Boxtel, M. P., ten Tusscher, M. P., Metsemakers, J. F., Willems, B., and Jolles, J. (2001). Visual determinants of reduced performance on the Stroop color-word test in normal aging individuals. J. Clin. Exp. Neuropsychol. 23, 620-627. doi: 10.1076/jcen.23.5.620.1245
60. Voss, M. W., Erickson, K. I., Prakash, R. S., Chaddock, L., Kim, J. S., Alves, H., et al. (2013). Neurobiological markers of exercise-related brain plasticity in older adults. Brain Behav. Immun. 28, 90-99. doi: 10.1016/j.bbi.2012.10.021
61. 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. Front. Aging Neurosci. 2:32. doi: 10.3389/fnagi.2010.00032
62. Wu, J. T., Wu, H. Z., Yan, C. G., Chen, W. X., Zhang, H. Y., He, Y., et al. (2011). Aging-related changes in the default mode network and its anti-correlated networks: a resting-state fMRI study. Neurosci. Lett. 504, 62-67. doi: 10.1016/j.neulet.2011.08.059
63. Xiao, S., Yao, P., Li, X., and Zhang, M. (2002). Neuropsychological testing profiles of patients with Alzheimer's Disease and mild cognitive impairment: a case-control study. Hong Kong J. Psychiatry 12, 2-5.
64. 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. Sci. Rep. 4:7309. doi: 10.1038/srep07309
65. Zheng, Z., Zhu, X., Yin, S., Wang, B., Niu, Y., Huang, X., et al. (2015). Combined cognitive-psychological-physical intervention induces reorganization of intrinsic functional brain architecture in older adults. Neural Plast 2015:713104. doi: 10.1155/2015/713104
66. Zhou, J., Greicius, M. D., Gennatas, E. D., Growdon, M. E., Jang, J. Y., Rabinovici, G. D., et al. (2010). Divergent network connectivity changes in behavioural variant frontotemporal dementia and Alzheimer's disease. Brain 133, 1352-1367. doi: 10.1093/brain/awq075