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Original Article

Special issue – Hearing, aging and cognitive disorders
Resting state network changes in aging and cognitive decline

Pages 58-64 | Accepted 23 Feb 2015, Published online: 17 Mar 2015

References

  • Spreng RN, Wojtowicz M, Grady CL. Reliable differences in brain activity between young and old adults: a quantitative meta-analysis across multiple cognitive domains. Neurosci Biobehav Rev. 2010;34:1178–94.
  • Mesulam MM. Large-scale neurocognitive networks and distributed processing for attention, language, and memory. Ann Neurol. 1990;28:597–613.
  • Bressler SL, Menon V. Large-scale brain networks in cognition: emerging methods and principles. Trends Cogn Sci. 2010;14:277–90.
  • Park HJ, Friston K. Structural and functional brain networks: from connections to cognition. Science. 2013;342:1238411.
  • Sporns O. Network attributes for segregation and integration in the human brain. Curr Opin Neurobiol. 2013;23:162–71.
  • Ferreira LK, Busatto GF. Resting-state functional connectivity in normal brain aging. Neurosci Biobehav Rev. 2013;37: 384–400.
  • Power JD, Cohen AL, Nelson SM, Wig GS, Barnes KA, Church JA, et al. Functional network organization of the human brain. Neuron. 2011;72:665–78.
  • Yeo BT, Krienen FM, Sepulcre J, Sabuncu MR, Lashkari D, Hollinshead M, et al. The organization of the human cerebral cortex estimated by intrinsic functional connectivity. J Neurophysiol. 2011;106:1125–65.
  • Hacker CD, Laumann TO, Szrama NP, Baldassarre A, Snyder AZ, Leuthardt EC, et al. Resting-State Network Estimation in Individual Subjects. Neuroimage. 2013;82:616–33.
  • Biswal B, Yetkin FZ, Haughton VM, Hyde JS. Functional connectivity in the motor cortex of resting human brain using echo-planar MRI. Magnet Reson Med. 1995;34: 537–41.
  • Fox MD, Raichle ME. Spontaneous fluctuations in brain activity observed with functional magnetic resonance imaging. Nat Rev Neurosci. 2007;8:700–11.
  • Baldassarre A, Ramsey L, Hacker CL, Callejas A, Astafiev SV, Metcalf NV, et al. Large-scale changes in network interactions as a physiological signature of spatial neglect. Brain. 2014; 137:3267–83.
  • Beckmann CF, DeLuca M, Devlin JT, Smith SM. Investigations into resting-state connectivity using independent component analysis. Philos Trans R Soc Lond B Biol Sci. 2005;360:1001–13.
  • Bullmore E, Sporns O. Complex brain networks: graph theoretical analysis of structural and functional systems. Nat Rev Neurosci. 2009;10:186–98.
  • Vincent JL, Patel GH, Fox MD, Snyder AZ, Baker JT, Van Essen DC, et al. Intrinsic functional architecture in the anesthetized monkey brain. Nature. 2007;447: 83–6.
  • Greicius MD, Supekar K, Menon V, Dougherty RF. Resting-state functional connectivity reflects structural connectivity in the default mode network. Cereb Cortex. 2009;19:72–8.
  • Honey CJ, Sporns O, Cammoun L, Gigandet X, Thiran JP, Meuli R, et al. Predicting human resting-state functional connectivity from structural connectivity. Proc Natl Acad Sci U S A. 2009;106:2035–40.
  • Damoiseaux JS, Rombouts SA, Barkhof F, Scheltens P, Stam CJ, Smith SM, et al. Consistent resting-state networks across healthy subjects. Proc Natl Acad Sci U S A. 2006; 103:13848–53.
  • Albert NB, Robertson EM, Miall RC. The resting human brain and motor learning. Curr Biol. 2009;19:1023–7.
  • Lewis CM, Baldassarre A, Committeri G, Romani GL, Corbetta M. Learning sculpts the spontaneous activity of the resting human brain. Proc Natl Acad Sci U S A. 2009; 106: 17558–63.
  • Hampson M, Driesen NR, Skudlarski P, Gore JC, Constable RT. Brain connectivity related to working memory performance. J Neurosci. 2006;26:13338–43.
  • Kelly AM, Uddin LQ, Biswal BB, Castellanos FX, Milham MP. Competition between functional brain networks mediates behavioral variability. Neuroimage. 2008; 39:527–37.
  • Koyama MS, Di Martino A, Zuo XN, Kelly C, Mennes M, Jutagir DR, et al. Resting-state functional connectivity indexes reading competence in children and adults. J Neurosci. 2011;31:8617–24.
  • Baldassarre A, Lewis CM, Committeri G, Snyder AZ, Romani GL, Corbetta M. Individual variability in functional connectivity predicts performance of a perceptual task. Proc Natl Acad Sci U S A. 2012;109:3516–21.
  • He BJ, Snyder AZ, Vincent JL, Epstein A, Shulman GL, Corbetta M. Breakdown of functional connectivity in frontoparietal networks underlies behavioral deficits in spatial neglect. Neuron. 2007;53:905–18.
  • Carter AR, Astafiev SV, Lang CE, Connor LT, Rengachary J, Strube MJ, et al. Resting interhemispheric functional magnetic resonance imaging connectivity predicts performance after stroke. Ann Neurol. 2010;67:365–75.
  • Nomura EM, Gratton C, Visser RM, Kayser A, Perez F, D’Esposito M. Double dissociation of two cognitive control networks in patients with focal brain lesions. Proc Natl Acad Sci U S A. 2010;107:12017–22.
  • Ovadia-Caro S, Villringer K, Fiebach J, Jungehulsing GJ, van der Meer E, Margulies DS, et al. Longitudinal effects of lesions on functional networks after stroke. J Cereb Blood Flow Metab. 2013;33:1279–85.
  • Varoquaux G, Baronnet F, Kleinschmidt A, Fillard P, Thirion B. Detection of brain functional-connectivity difference in post-stroke patients using group-level covariance modeling. Med Image Comput Comput Assist Interv. 2010; 13:200–8.
  • Wang C, Qin W, Zhang J, Tian T, Li Y, Meng L, et al. Altered functional organization within and between resting-state networks in chronic subcortical infarction. J Cereb Blood Flow Metab. 2014;34:597–605.
  • Wang L, Yu C, Chen H, Qin W, He Y, Fan F, et al. Dynamic functional reorganization of the motor execution network after stroke. Brain. 2010;133:1224–38.
  • Varsou O, Macleod MJ, Schwarzbauer C. Functional connectivity magnetic resonance imaging in stroke: an evidence-based clinical review. Int J Stroke. 2014;9:191–8.
  • Carter AR, Shulman GL, Corbetta M. Why use a connectivity-based approach to study stroke and recovery of function? Neuroimage. 2012;62:2271–80.
  • Shulman GL, Fiez JA, Corbetta M, Buckner RL, Miezin FM, Raichle ME, et al. Common blood flow changes across visual tasks: II. Decreases in cerebral cortex. J Cognit Neurosci. 1997;9:648–63.
  • Raichle ME, Gusnard DA. Appraising the brain’s energy budget. Proc Natl Acad Sci U S A. 2002;99:10237–9.
  • Greicius M. Resting-state functional connectivity in neuropsychiatric disorders. Curr Opin Neurol. 2008;21:424–30.
  • Buckner RL, Andrews-Hanna JR, Schacter DL. The brain’s default network: anatomy, function, and relevance to disease. Ann N Y Acad Sci. 2008;1124:1–38.
  • Andrews-Hanna JR1, Snyder AZ, Vincent JL, Lustig C, Head D, Raichle ME, et al. Disruption of large-scale brain systems in advanced aging. Neuron. 2007;56:924–35.
  • Damoiseaux JS, Beckmann CF, Arigita EJ, Barkhof F, Scheltens P, Stam CJ, et al. Reduced resting-state brain activity in the ‘default network’ in normal aging. Cereb Cortex. 2008;18:1856–64.
  • Bluhm RL, Osuch EA, Lanius RA, Boksman K, Neufeld RW, Théberge J, et al. Default mode network connectivity: effects of age, gender, and analytic approach. Neuroreport. 2008; 19:887–91.
  • Song J, Birn RM, Boly M, Meier TB, Nair VA, Meyerand ME, et al. Age related changes in modular organization of human brain functional networks. Neuroimage. 2009;44: 715–23.
  • Wu JT, Wu HZ, Yan CG, Chen WX, Zhang HY, He Y, Yang HS. Aging related changes in the default mode network and its anti-correlated networks: a resting-state fMRI study. Neurosci Lett. 2011;504:62–7.
  • Zhang HY, Chen WX, Jiao Y, Xu Y, Zhang XR, Wu J. Selective vulnerability related to aging in large-scale resting brain networks. PLoS One. 2014;9:e108807.
  • Corbetta M, Shulman GL. Control of goal-directed and stimulus-driven attention in the brain. Nat Rev Neurosci. 2002;3:201–15.
  • Fox MD, Snyder AZ, Vincent JL, Corbetta M, van Essen DC, Raichle ME. The human brain is intrinsically organized into dynamic, anti-correlated functional networks. Proc Natl Acad Sci U S A. 2005;102:9673–8.
  • Fox MD, Corbetta M, Snyder AZ, Vincent JL, Raichle ME. Spontaneous neuronal activity distinguishes human dorsal and ventral attention systems. Proc Natl Acad Sci U S A. 2006;103:10046–51.
  • Wu T, Zang Y, Wang L, Long X, Hallett M, Chen Y, et al. Aging influence on functional connectivity of the motor network in the resting state. Neurosci Lett. 2007;422:164–8.
  • Langan J, Peltier SJ, Bo J, Fling BW, Welsh RC, Seidler RD. Functional implications of age differences in motor system connectivity. Front Syst Neurosci. 2010;4:17.
  • Mowinckel AM, Espeseth T, Westlye LT. Network-specific effects of age and in-scanner subject motion: a resting-state fMRI study of 238 healthy adults. Neuroimage. 2012;63: 1364–73.
  • Tomasi D, Volkow ND. Aging and functional brain networks. Mol Psychiatry. 2012;17:549–58.
  • Chan MY, Park DC, Savalia NK, Petersen SE, Wig GS. Decreased segregation of brain systems across the healthy adult lifespan. Proc Natl Acad Sci U S A. 2014;111: E4997–5006.
  • Geerligs L, Renken RJ, Saliasi E, Maurits NM, Lorist MM. A brain-wide study of age related changes in functional connectivity. Cereb Cortex. 2014;4 Feb 13. [Epub ahead of print] PMID:24532319.
  • Song J, Birn RM, Boly M, Meier TB, Nair VA, Meyerand ME, et al. Age related reorganizational changes in modularity and functional connectivity of human brain networks. Brain Connect. 2014;4:662–76.
  • Chollet F, DiPiero V, Wise RJ, Brooks DJ, Dolan RJ, Frackowiak RS. The functional anatomy of motor recovery after stroke in humans: a study with positron emission tomography. Ann Neurol. 1991;29:63–71.
  • Ward NS, Brown MM, Thompson AJ, Frackowiak RS. Neural correlates of motor recovery after stroke: a longitudinal fMRI study. Brain. 2003;126:2476–96.
  • Saur D, Lange R, Baumgaertner A, Schraknepper V, Willmes K, Rijntjes M, et al. Dynamics of language reorganization after stroke. Brain. 2006;129:1371–84.
  • Reuter-Lorenz P. New visions of the aging mind and brain. Trends Cogn Sci. 2002;6: 394.
  • Grady CL. Cognitive neuroscience of aging. Ann N Y Acad Sci. 2008;1124:127–44.
  • Wang L, Laviolette P, O’Keefe K, Putcha D, Bakkour A, van Dijk KR, et al. Intrinsic connectivity between the hippocampus and posteromedial cortex predicts memory performance in cognitively intact older individuals. Neuroimage. 2010;51:910–7.
  • Persson J, Pudas S, Nilsson LG, Nyberg L. Longitudinal assessment of default-mode brain function in aging. Neurobiol Aging. 2014;35:2107–17.
  • Zhou J1, Greicius MD, Gennatas ED, Growdon ME, Jang JY, Rabinovici GD, et al. Divergent network connectivity changes in behavioral variant frontotemporal dementia and Alzheimer’s disease. Brain. 2010;133: 1352–67.
  • van Essen DC. A Population-Average, Landmark- and Surface-based (PALS) atlas of Human Cerebral Cortex. Neuroimage. 2005;28:635–62.
  • Corbetta M, Shulman GL. Spatial neglect and attention networks. Annu Rev Neurosci. 2011;34:569–99.

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