Exercise-related changes of networks in aging and mild cognitive impairment brain

Frontiers in Aging Neuroscience

Volumn 8, Issue MAR, 2016, Pages

  Huang, Pei ^a   Fang, Rong ^a   Li, Bin Yin ^a   Chen, Sheng Di ^a  

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

Author keywords

Aging; Electroencephalogram; Exercise; Functional magnetic resonance imaging; Magnetoencephalography; Mild cognitive impairment; Positron emission tomography

Indexed keywords

AMYLOID BETA PROTEIN; TAU PROTEIN;

AGING; BRAIN REGION; COGNITION; COGNITIVE DEFECT; DISEASE SEVERITY; ELECTROENCEPHALOGRAM; ELECTROENCEPHALOGRAPHY; ENZYME DEGRADATION; EPISODIC MEMORY; EXECUTIVE FUNCTION; EXERCISE; FITNESS; HIPPOCAMPUS; IMAGE ANALYSIS; IMAGE QUALITY; LEARNING; MAGNETOENCEPHALOGRAPHY; MILD COGNITIVE IMPAIRMENT; NEUROIMAGING; NUCLEAR MAGNETIC RESONANCE IMAGING; OXYGEN CONSUMPTION; POSITRON EMISSION TOMOGRAPHY; PROTEIN DEGRADATION; REVIEW; TASK PERFORMANCE;

EID: 84964670760     PISSN: None     EISSN: 16634365     Source Type: Journal    
DOI: 10.3389/fnagi.2016.00047     Document Type: Review

References (110)

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. Angevaren, M., Aufdemkampe, G., Verhaar, H. J., Aleman, A., and Vanhees, L. (2008). Physical activity and enhanced fitness to improve cognitive function in older people without known cognitive impairment. Cochrane Database Syst. Rev. 2, CD005381. doi: 10.1002/14651858.CD005381.pub3.
3. Antonell, A., Fortea, J., Rami, L., Bosch, B., Balasa, M., Sanchez-Valle, R., et al. (2011). Different profiles of Alzheimer's disease cerebrospinal fluid biomarkers in controls and subjects with subjective memory complaints. J. Neural Transm. (Vienna) 118, 259-262. doi: 10.1007/s00702-010-0534-0.
4. Bai, F., Liao, W., Watson, D. R., Shi, Y., Wang, Y., Yue, C., et al. (2011). Abnormal whole-brain functional connection in amnestic mild cognitive impairment patients. Behav. Brain Res. 216, 666-672. doi: 10.1016/j.bbr.2010.09.010.
5. Baker, L. D., Frank, L. L., Foster-Schubert, K., Green, P. S., Wilkinson, C. W., McTiernan, A., et al. (2010). Effects of aerobic exercise on mild cognitive impairment: a controlled trial. Arch. Neurol. 67, 71-79. doi: 10.1001/archneurol.2009.307.
6. Bassett, D. S., Meyer-Lindenberg, A., Achard, S., Duke, T., and Bullmore, E. (2006). Adaptive reconfiguration of fractal small-world human brain functional networks. Proc. Natl. Acad. Sci. U.S.A. 103, 19518-19523. doi: 10.1073/pnas.0606005103.
7. Bherer, L., Erickson, K. I., and Liu-Ambrose, T. (2013). A review of the effects of physical activity and exercise on cognitive and brain functions in older adults. J. Aging Res. 2013, 657508. doi: 10.1155/2013/657508.
8. 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.
9. Buckner, R. L., Sepulcre, J., Talukdar, T., Krienen, F. M., Liu, H., Hedden, T., et al. (2009). Cortical hubs revealed by intrinsic functional connectivity: mapping, assessment of stability, and relation to Alzheimer's disease. J. Neurosci. 29, 1860-1873. doi: 10.1523/jneurosci.5062-08.2009.
10. Buldú, J. M., Bajo, R., Maestu, F., Castellanos, N., Leyva, I., Gil, P., et al. (2011). Reorganization of functional networks in mild cognitive impairment. PLoS ONE 6:e19584. doi: 10.1371/journal.pone.0019584.
11. Bullmore, E., and Sporns, O. (2009). Complex brain networks: graph theoretical analysis of structural and functional systems. Nat. Rev. Neurosci. 10, 186-198. doi: 10.1038/nrn2575.
12. Bullock, T., Cecotti, H., and Giesbrecht, B. (2015). Multiple stages of information processing are modulated during acute bouts of exercise. Neuroscience 307, 138-150. doi: 10.1016/j.neuroscience.2015.08.046.
13. Cabeza, R., Anderson, N. D., Locantore, J. K., and McIntosh, A. R. (2002). Aging gracefully: compensatory brain activity in high-performing older adults. Neuroimage 17, 1394-1402. doi: 10.1006/nimg.2002.1280.
14. Chang, Y. K., Pesce, C., Chiang, Y. T., Kuo, C. Y., and Fong, D. Y. (2015). Antecedent acute cycling exercise affects attention control: an ERP study using attention network test. Front. Hum. Neurosci. 9:156. doi: 10.3389/fnhum.2015.00156.
15. Colcombe, S. J., Kramer, A. F., McAuley, E., Erickson, K. I., and Scalf, P. (2004). Neurocognitive aging and cardiovascular fitness: recent findings and future directions. J. Mol. Neurosci. 24, 9-14. doi: 10.1385/JMN:24:1:009.
16. Corbetta, M., and Shulman, G. L. (2002). Control of goal-directed and stimulus-driven attention in the brain. Nat. Rev. Neurosci. 3, 201-215. doi: 10.1038/nrn755.
17. 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.
18. Deiber, M. P., Ibanez, V., Missonnier, P., Rodriguez, C., and Giannakopoulos, P. (2013). Age-associated modulations of cerebral oscillatory patterns related to attention control. Neuroimage 82, 531-546. doi: 10.1016/j.neuroimage.2013.06.037.
19. Dosenbach, N. U., Visscher, K. M., Palmer, E. D., Miezin, F. M., Wenger, K. K., Kang, H. C., et al. (2006). A core system for the implementation of task sets. Neuron 50, 799-812. doi: 10.1016/j.neuron.2006.04.031.
20. Douw, L., Nieboer, D., van Dijk, B. W., Stam, C. J., and Twisk, J. W. (2014). A healthy brain in a healthy body: brain network correlates of physical and mental fitness. PLoS ONE 9:e88202. doi: 10.1371/journal.pone.0088202.
21. Drzezga, A., Lautenschlager, N., Siebner, H., Riemenschneider, M., Willoch, F., Minoshima, S., et al. (2003). Cerebral metabolic changes accompanying conversion of mild cognitive impairment into Alzheimer's disease: a PET follow-up study. Eur. J. Nucl. Med. Mol. Imaging 30, 1104-1113. doi: 10.1007/s00259-003-1194-1.
22. Dubois, B., Feldman, H. H., Jacova, C., Cummings, J. L., Dekosky, S. T., Barberger-Gateau, P., et al. (2010). Revising the definition of Alzheimer's disease: a new lexicon. Lancet Neurol. 9, 1118-1127. doi: 10.1016/s1474-4422(10)70223-4.
23. Dubois, B., Feldman, H. H., Jacova, C., Hampel, H., Molinuevo, J. L., Blennow, K., et al. (2014). Advancing research diagnostic criteria for Alzheimer's disease: the IWG-2 criteria. Lancet Neurol. 13, 614-629. doi: 10.1016/s1474-4422(14)70090-0.
24. Ferrarelli, F., Haraldsson, H. M., Barnhart, T. E., Roberts, A. D., Oakes, T. R., Massimini, M., et al. (2004). A [17F]-fluoromethane PET/TMS study of effective connectivity. Brain Res. Bull. 64, 103-113. doi: 10.1016/j.brainresbull.2004.04.020.
25. Ferri, C. P., Prince, M., Brayne, C., Brodaty, H., Fratiglioni, L., Ganguli, M., et al. (2005). Global prevalence of dementia: a Delphi consensus study. Lancet 366, 2112-2117. doi: 10.1016/s0140-6736(05)67889-0.
26. Fjell, A. M., McEvoy, L., Holland, D., Dale, A. M., and Walhovd, K. B. (2014). What is normal in normal aging? Effects of aging, amyloid and Alzheimer's disease on the cerebral cortex and the hippocampus. Prog. Neurobiol. 117, 20-40. doi: 10.1016/j.pneurobio.2014.02.004.
27. Fong, D. Y., Chi, L. K., Li, F., and Chang, Y. K. (2014). The benefits of endurance exercise and Tai Chi Chuan for the task-switching aspect of executive function in older adults: an ERP study. Front. Aging Neurosci. 6:295. doi: 10.3389/fnagi.2014.00295.
28. 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.
29. Gaál, Z. A., Boha, R., Stam, C. J., and Molnar, M. (2010). Age-dependent features of EEG-reactivity-spectral, complexity, and network characteristics. Neurosci. Lett. 479, 79-84. doi: 10.1016/j.neulet.2010.05.037.
30. Gajewski, P. D., and Falkenstein, M. (2015). Lifelong physical activity and executive functions in older age assessed by memory based task switching. Neuropsychologia 73, 195-207. doi: 10.1016/j.neuropsychologia.2015.04.031.
31. Gauthier, S., Reisberg, B., Zaudig, M., Petersen, R. C., Ritchie, K., Broich, K., et al. (2006). Mild cognitive impairment. Lancet 367, 1262-1270. doi: 10.1016/s0140-6736(06)68542-5.
32. Gola, M., Magnuski, M., Szumska, I., and Wrobel, A. (2013). EEG beta band activity is related to attention and attentional deficits in the visual performance of elderly subjects. Int. J. Psychophysiol. 89, 334-341. doi: 10.1016/j.ijpsycho.2013.05.007.
33. Gouras, G. K., Almeida, C. G., and Takahashi, R. H. (2005). Intraneuronal Abeta accumulation and origin of plaques in Alzheimer's disease. Neurobiol. Aging 26, 1235-1244. doi: 10.1016/j.neurobiolaging.2005.05.022.
34. Grady, C. (2012). The cognitive neuroscience of ageing. Nat. Rev. Neurosci. 13, 491-505. doi: 10.1038/nrn3256.
35. Grady, C. L., Protzner, A. B., Kovacevic, N., Strother, S. C., Afshin-Pour, B., Wojtowicz, M., et al. (2010). A multivariate analysis of age-related differences in default mode and task-positive networks across multiple cognitive domains. Cereb. Cortex 20, 1432-1447. doi: 10.1093/cercor/bhp207.
36. Grimault, S., Robitaille, N., Grova, C., Lina, J. M., Dubarry, A. S., and Jolicoeur, P. (2009). Oscillatory activity in parietal and dorsolateral prefrontal cortex during retention in visual short-term memory: additive effects of spatial attention and memory load. Hum. Brain Mapp. 30, 3378-3392. doi: 10.1002/hbm.20759.
37. Guillozet, A. L., Weintraub, S., Mash, D. C., and Mesulam, M. M. (2003). Neurofibrillary tangles, amyloid, and memory in aging and mild cognitive impairment. Arch. Neurol. 60, 729-736. doi: 10.1001/archneur.60.5.729.
38. Hampson, M., Driesen, N. R., Skudlarski, P., Gore, J. C., and Constable, R. T. (2006). Brain connectivity related to working memory performance. J. Neurosci. 26, 13338-13343. doi: 10.1523/jneurosci.3408-06.2006.
39. Harman, D. (2001). Aging: overview. Ann. N. Y. Acad. Sci. 928, 1-21. doi: 10.1111/j.1749-6632.2001.tb05631.x.
40. 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.
41. Herholz, K., Westwood, S., Haense, C., and Dunn, G. (2011). Evaluation of a calibrated (18)F-FDG PET score as a biomarker for progression in Alzheimer disease and mild cognitive impairment. J. Nucl. Med. 52, 1218-1226. doi: 10.2967/jnumed.111.090902.
42. Hillman, C. H., Erickson, K. I., and Kramer, A. F. (2008). Be smart, exercise your heart: exercise effects on brain and cognition. Nat. Rev. Neurosci. 9, 58-65. doi: 10.1038/nrn2298.
43. Hogan, M. J., O'Hora, D., Kiefer, M., Kubesch, S., Kilmartin, L., Collins, P., et al. (2015). The effects of cardiorespiratory fitness and acute aerobic exercise on executive functioning and EEG entropy in adolescents. Front. Hum. Neurosci. 9:538. doi: 10.3389/fnhum.2015.00538.
44. Hosseini, S. M., Kramer, J. H., and Kesler, S. R. (2014). Neural correlates of cognitive intervention in persons at risk of developing Alzheimer's disease. Front. Aging Neurosci. 6:231. doi: 10.3389/fnagi.2014.00231.
45. Jack, C. R. Jr., Knopman, D. S., Jagust, W. J., Petersen, R. C., Weiner, M. W., Aisen, P. S., et al. (2013). Tracking pathophysiological processes in Alzheimer's disease: an updated hypothetical model of dynamic biomarkers. Lancet Neurol. 12, 207-216. doi: 10.1016/s1474-4422(12)70291-0.
46. James, B. D., Leurgans, S. E., Hebert, L. E., Scherr, P. A., Yaffe, K., and Bennett, D. A. (2014). Contribution of Alzheimer disease to mortality in the United States. Neurology 82, 1045-1050. doi: 10.1212/wnl.0000000000000240.
47. Kikuchi, M., Wada, Y., Koshino, Y., Nanbu, Y., and Hashimoto, T. (2000). Effect of normal aging upon interhemispheric EEG coherence: analysis during rest and photic stimulation. Clin. Electroencephalogr. 31, 170-174. doi: 10.1177/155005940003100210.
48. Knyazev, G. G., Volf, N. V., and Belousova, L. V. (2015). Age-related differences in electroencephalogram connectivity and network topology. Neurobiol. Aging 36, 1849-1859. doi: 10.1016/j.neurobiolaging.2015.02.007.
49. Kramer, A. F., and Erickson, K. I. (2007). Capitalizing on cortical plasticity: influence of physical activity on cognition and brain function. Trends Cogn. Sci. 11, 342-348. doi: 10.1016/j.tics.2007.06.009.
50. Lautenschlager, N. T., Cox, K. L., Flicker, L., Foster, J. K., van Bockxmeer, F. M., Xiao, J., et al. (2008). Effect of physical activity on cognitive function in older adults at risk for Alzheimer disease: a randomized trial. JAMA 300, 1027-1037. doi: 10.1001/jama.300.9.1027.
51. Li, S. C., Lindenberger, U., and Sikstrom, S. (2001). Aging cognition: from neuromodulation to representation. Trends Cogn. Sci. 5, 479-486. doi: 10.1016/S1364-6613(00)01769-1.
52. Li, X., Li, T. Q., Andreasen, N., Wiberg, M. K., Westman, E., and Wahlund, L. O. (2014). The association between biomarkers in cerebrospinal fluid and structural changes in the brain in patients with Alzheimer's disease. J. Intern. Med. 275, 418-427. doi: 10.1111/joim.12164.
53. Liu, Y., Yu, C., Zhang, X., Liu, J., Duan, Y., Alexander-Bloch, A. F., et al. (2014a). Impaired long distance functional connectivity and weighted network architecture in Alzheimer's disease. Cereb. Cortex 24, 1422-1435. doi: 10.1093/cercor/bhs410.
54. Liu, Z., Ke, L., Liu, H., Huang, W., and Hu, Z. (2014b). Changes in topological organization of functional PET brain network with normal aging. PLoS ONE 9:e88690. doi: 10.1371/journal.pone.0088690.
55. López, M. E., Aurtenetxe, S., Pereda, E., Cuesta, P., Castellanos, N. P., Bruna, R., et al. (2014). Cognitive reserve is associated with the functional organization of the brain in healthy aging: a MEG study. Front. Aging Neurosci. 6:125. doi: 10.3389/fnagi.2014.00125.
56. Luque-Casado, A., Perakakis, P., Hillman, C. H., Kao, S. C., Llorens, F., Guerra, P., et al. (2015). Differences in sustained attention capacity as a function of aerobic fitness. Med. Sci. Sports Exerc. doi: 10.1249/mss.0000000000000857 [Epub ahead of print].
57. 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, 643-657. doi: 10.1016/j.neuroimage.2010.04.249.
58. Madden, D. J., Spaniol, J., Whiting, W. L., Bucur, B., Provenzale, J. M., Cabeza, R., et al. (2007). Adult age differences in the functional neuroanatomy of visual attention: a combined fMRI and DTI study. Neurobiol. Aging 28, 459-476. doi: 10.1016/j.neurobiolaging.2006.01.005.
59. Markesbery, W. R. (2010). Neuropathologic alterations in mild cognitive impairment: a review. J. Alzheimers Dis. 19, 221-228. doi: 10.3233/jad-2010-1220.
60. Meeuwissen, E. B., Takashima, A., Fernandez, G., and Jensen, O. (2011). Increase in posterior alpha activity during rehearsal predicts successful long-term memory formation of word sequences. Hum. Brain Mapp. 32, 2045-2053. doi: 10.1002/hbm.21167.
61. Minoshima, S., Giordani, B., Berent, S., Frey, K. A., Foster, N. L., and Kuhl, D. E. (1997). Metabolic reduction in the posterior cingulate cortex in very early Alzheimer's disease. Ann. Neurol. 42, 85-94. doi: 10.1002/ana.410420114.
62. Moretti, D. V. (2015). Electroencephalography reveals lower regional blood perfusion and atrophy of the temporoparietal network associated with memory deficits and hippocampal volume reduction in mild cognitive impairment due to Alzheimer's disease. Neuropsychiatr. Dis. Treat. 11, 461-470. doi: 10.2147/ndt.s78830.
63. Nyberg, L., Lovden, M., Riklund, K., Lindenberger, U., and Backman, L. (2012). Memory aging and brain maintenance. Trends Cogn. Sci. 16, 292-305. doi: 10.1016/j.tics.2012.04.005.
64. Oh, H., and Jagust, W. J. (2013). Frontotemporal network connectivity during memory encoding is increased with aging and disrupted by beta-amyloid. J. Neurosci. 33, 18425-18437. doi: 10.1523/jneurosci.2775-13.2013.
65. Olson, R. L., Chang, Y. K., Brush, C. J., Kwok, A. N., Gordon, V. X., and Alderman, B. L. (2015). Neurophysiological and behavioral correlates of cognitive control during low and moderate intensity exercise. Neuroimage doi: 10.1016/j.neuroimage.2015.10.011 [Epub ahead of print].
66. 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.
67. Park, D. C., and Reuter-Lorenz, P. (2009). The adaptive brain: aging and neurocognitive scaffolding. Annu. Rev. Psychol. 60, 173-196. doi: 10.1146/annurev.psych.59.103006.093656.
68. Persson, J., Lustig, C., Nelson, J. K., and Reuter-Lorenz, P. A. (2007). Age differences in deactivation: a link to cognitive control? J. Cogn. Neurosci. 19, 1021-1032. doi: 10.1162/jocn.2007.19.6.1021.
69. Petersen, R. C., Doody, R., Kurz, A., Mohs, R. C., Morris, J. C., Rabins, P. V., et al. (2001). Current concepts in mild cognitive impairment. Arch. Neurol. 58, 1985-1992. doi: 10.1001/archneur.58.12.1985.
70. Petersen, R. C., and Morris, J. C. (2005). Mild cognitive impairment as a clinical entity and treatment target. Arch. Neurol. 62, 1160-1163; discussion 1167. doi: 10.1001/archneur.62.7.1160.
71. Petersen, R. C., Roberts, R. O., Knopman, D. S., Boeve, B. F., Geda, Y. E., Ivnik, R. J., et al. (2009). Mild cognitive impairment: ten years later. Arch. Neurol. 66, 1447-1455. doi: 10.1001/archneurol.2009.266.
72. Petzinger, G. M., Fisher, B. E., McEwen, S., Beeler, J. A., Walsh, J. P., and Jakowec, M. W. (2013). Exercise-enhanced neuroplasticity targeting motor and cognitive circuitry in Parkinson's disease. Lancet Neurol. 12, 716-726. doi: 10.1016/s1474-4422(13)70123-6.
73. Pineda-Pardo, J. A., Bruna, R., Woolrich, M., Marcos, A., Nobre, A. C., Maestu, F., et al. (2014). Guiding functional connectivity estimation by structural connectivity in MEG: an application to discrimination of conditions of mild cognitive impairment. Neuroimage 101, 765-777. doi: 10.1016/j.neuroimage.2014.08.002.
74. Porto, F. H., Coutinho, A. M., Pinto, A. L., Gualano, B., Duran, F. L., Prando, S., et al. (2015). Effects of aerobic training on cognition and brain glucose metabolism in subjects with mild cognitive impairment. J. Alzheimers Dis. 46, 747-760. doi: 10.3233/jad-150033.
75. Reddy, P. H., Manczak, M., Mao, P., Calkins, M. J., Reddy, A. P., and Shirendeb, U. (2010). Amyloid-beta and mitochondria in aging and Alzheimer's disease: implications for synaptic damage and cognitive decline. J. Alzheimers. Dis. 20(Suppl. 2), S499-S512. doi: 10.3233/jad-2010-100504.
76. Reddy, P. H., and McWeeney, S. (2006). Mapping cellular transcriptosomes in autopsied Alzheimer's disease subjects and relevant animal models. Neurobiol. Aging 27, 1060-1077. doi: 10.1016/j.neurobiolaging.2005.04.014.
77. Rushworth, M. F., Walton, M. E., Kennerley, S. W., and Bannerman, D. M. (2004). Action sets and decisions in the medial frontal cortex. Trends Cogn. Sci. 8, 410-417. doi: 10.1016/j.tics.2004.07.009.
78. Sala-Llonch, R., Bartres-Faz, D., and Junque, C. (2015). Reorganization of brain networks in aging: a review of functional connectivity studies. Front. Psychol. 6:663. doi: 10.3389/fpsyg.2015.00663.
79. Sanabria-Diaz, G., Martinez-Montes, E., and Melie-Garcia, L. (2013). Glucose metabolism during resting state reveals abnormal brain networks organization in the Alzheimer's disease and mild cognitive impairment. PLoS ONE 8:e68860. doi: 10.1371/journal.pone.0068860.
80. Schaie, K. W. (1994). The course of adult intellectual development. Am. Psychol. 49, 304-313. doi: 10.1037/0003-066X.49.4.304.
81. Schilbach, L., Eickhoff, S. B., Rotarska-Jagiela, A., Fink, G. R., and Vogeley, K. (2008). Minds at rest? Social cognition as the default mode of cognizing and its putative relationship to the "default system" of the brain. Conscious. Cogn. 17, 457-467. doi: 10.1016/j.concog.2008.03.013.
82. Schultz, S. A., Boots, E. A., Almeida, R. P., Oh, J. M., Einerson, J., Korcarz, C. E., et al. (2015). Cardiorespiratory fitness attenuates the influence of amyloid on cognition. J. Int. Neuropsychol. Soc. 21, 841-850. doi: 10.1017/s1355617715000843.
83. Seeley, W. W., Crawford, R. K., Zhou, J., Miller, B. L., and Greicius, M. D. (2009). Neurodegenerative diseases target large-scale human brain networks. Neuron 62, 42-52. doi: 10.1016/j.neuron.2009.03.024.
84. Seo, E. H., Lee, D. Y., Lee, J. M., Park, J. S., Sohn, B. K., Lee, D. S., et al. (2013). Whole-brain functional networks in cognitively normal, mild cognitive impairment, and Alzheimer's disease. PLoS ONE 8:e53922. doi: 10.1371/journal.pone.0053922.
85. Smallwood, N., Spriggs, M. J., Thompson, C. S., Wu, C. C., Hamm, J. P., Moreau, D., et al. (2015). Influence of physical activity on human sensory long-term potentiation. J. Int. Neuropsychol. Soc. 21, 831-840. doi: 10.1017/s1355617715001095.
86. Smith, J. C., Nielson, K. A., Antuono, P., Lyons, J. A., Hanson, R. J., Butts, A. M., et al. (2013). Semantic memory functional MRI and cognitive function after exercise intervention in mild cognitive impairment. J. Alzheimers Dis. 37, 197-215. doi: 10.3233/jad-130467.
87. Sporns, O., and Zwi, J. D. (2004). The small world of the cerebral cortex. Neuroinformatics 2, 145-162. doi: 10.1385/ni.
88. Stam, C. J. (2004). Functional connectivity patterns of human magnetoencephalographic recordings: a 'small-world' network? Neurosci. Lett. 355, 25-28. doi: 10.1016/j.neulet.2003.10.063.
89. Stam, C. J., and van Straaten, E. C. (2012). The organization of physiological brain networks. Clin. Neurophysiol. 123, 1067-1087. doi: 10.1016/j.clinph.2012.01.011.
90. Suzuki, T., Shimada, H., Makizako, H., Doi, T., Yoshida, D., Ito, K., et al. (2013). A randomized controlled trial of multicomponent exercise in older adults with mild cognitive impairment. PLoS ONE 8:e61483. doi: 10.1371/journal.pone.0061483.
91. Suzuki, T., Shimada, H., Makizako, H., Doi, T., Yoshida, D., Tsutsumimoto, K., et al. (2012). Effects of multicomponent exercise on cognitive function in older adults with amnestic mild cognitive impairment: a randomized controlled trial. BMC Neurol. 12:128. doi: 10.1186/1471-2377-12-128.
92. Tambini, A., Ketz, N., and Davachi, L. (2010). Enhanced brain correlations during rest are related to memory for recent experiences. Neuron 65, 280-290. doi: 10.1016/j.neuron.2010.01.001.
93. Taubert, M., Lohmann, G., Margulies, D. S., Villringer, A., and Ragert, P. (2011). Long-term effects of motor training on resting-state networks and underlying brain structure. Neuroimage 57, 1492-1498. doi: 10.1016/j.neuroimage.2011.05.078.
94. Tomasi, D., and Volkow, N. D. (2012). Aging and functional brain networks. Mol. Psychiatry 17, 471-558. doi: 10.1038/mp.2011.81.
95. Turner, G. R., and Spreng, R. N. (2012). Executive functions and neurocognitive aging: dissociable patterns of brain activity. Neurobiol. Aging 33, 826.e1-826.e13. doi: 10.1016/j.neurobiolaging.2011.06.005.
96. van der Hiele, K., Bollen, E. L., Vein, A. A., Reijntjes, R. H., Westendorp, R. G., van Buchem, M. A., et al. (2008). EEG markers of future cognitive performance in the elderly. J. Clin. Neurophysiol. 25, 83-89. doi: 10.1097/WNP.0b013e31816a5b25.
97. van Harten, A. C., Visser, P. J., Pijnenburg, Y. A., Teunissen, C. E., Blankenstein, M. A., Scheltens, P., et al. (2013). Cerebrospinal fluid Abeta42 is the best predictor of clinical progression in patients with subjective complaints. Alzheimers Dement. 9, 481-487. doi: 10.1016/j.jalz.2012.08.004.
98. van Uffelen, J. G., Chinapaw, M. J., van Mechelen, W., and Hopman-Rock, M. (2008). Walking or vitamin B for cognition in older adults with mild cognitive impairment? A randomised controlled trial. Br. J. Sports Med. 42, 344-351. doi: 10.1136/bjsm.2007.044735.
99. Vecchio, F., Miraglia, F., Marra, C., Quaranta, D., Vita, M. G., Bramanti, P., et al. (2014). Human brain networks in cognitive decline: a graph theoretical analysis of cortical connectivity from EEG data. J. Alzheimers Dis. 41, 113-127. doi: 10.3233/jad-132087.
100. Villemagne, V. L., Burnham, S., Bourgeat, P., Brown, B., Ellis, K. A., Salvado, O., et al. (2013). Amyloid beta deposition, neurodegeneration, and cognitive decline in sporadic Alzheimer's disease: a prospective cohort study. Lancet Neurol. 12, 357-367. doi: 10.1016/s1474-4422(13)70044-9.
101. Voss, M. W., Chaddock, L., Kim, J. S., Vanpatter, M., Pontifex, M. B., Raine, L. B., et al. (2011). Aerobic fitness is associated with greater efficiency of the network underlying cognitive control in preadolescent children. Neuroscience 199, 166-176. doi: 10.1016/j.neuroscience.2011.10.009.
102. Voss, M. W., Erickson, K. I., Prakash, R. S., Chaddock, L., Malkowski, E., Alves, H., et al. (2010a). Functional connectivity: a source of variance in the association between cardiorespiratory fitness and cognition? Neuropsychologia 48, 1394-1406. doi: 10.1016/j.neuropsychologia.2010.01.005.
103. Voss, M. W., Prakash, R. S., Erickson, K. I., Basak, C., Chaddock, L., Kim, J. S., et al. (2010b). 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.
104. Watts, D. J., and Strogatz, S. H. (1998). Collective dynamics of 'small-world' networks. Nature 393, 440-442. doi: 10.1038/30918.
105. Wei, G. X., Dong, H. M., Yang, Z., Luo, J., and Zuo, X. N. (2014). Tai Chi Chuan optimizes the functional organization of the intrinsic human brain architecture in older adults. Front. Aging Neurosci. 6:74. doi: 10.3389/fnagi.2014.00074.
106. Wei, G. X., Xu, T., Fan, F. M., Dong, H. M., Jiang, L. L., Li, H. J., et al. (2013). Can Taichi reshape the brain? A brain morphometry study. PLoS ONE 8:e61038. doi: 10.1371/journal.pone.0061038.
107. Yeo, B. T., Krienen, F. M., Sepulcre, J., Sabuncu, M. R., Lashkari, D., Hollinshead, M., et al. (2011). The organization of the human cerebral cortex estimated by intrinsic functional connectivity. J. Neurophysiol. 106, 1125-1165. doi: 10.1152/jn.00338.2011.
108. Zhou, B., Liu, Y., Zhang, Z., An, N., Yao, H., Wang, P., et al. (2013). Impaired functional connectivity of the thalamus in Alzheimer's disease and mild cognitive impairment: a resting-state fMRI study. Curr. Alzheimer Res. 10, 754-766. doi: 10.2174/15672050113109990146.
109. Zhou, B., Yao, H., Wang, P., Zhang, Z., Zhan, Y., Ma, J., et al. (2015). Aberrant functional connectivity architecture in Alzheimer's disease and mild cognitive impairment: a whole-brain, data-driven analysis. Biomed Res. Int. 2015, 495375. doi: 10.1155/2015/495375.
110. Zlatar, Z. Z., Towler, S., McGregor, K. M., Dzierzewski, J. M., Bauer, A., Phan, S., et al. (2013). Functional language networks in sedentary and physically active older adults. J. Int. Neuropsychol. Soc. 19, 625-634. doi: 10.1017/s1355617713000246