Publication Cover
Chronobiology International
The Journal of Biological and Medical Rhythm Research
Volume 31, 2014 - Issue 9
266
Views
6
CrossRef citations to date
0
Altmetric
Research Article

Dysregulated daily rhythmicity of neuronal resting-state networks in MCI patients

, , , , , , , , , , & show all
Pages 1041-1050 | Received 16 Apr 2014, Accepted 10 Jul 2014, Published online: 06 Aug 2014

References

  • Abdi H. (2007). Bonferroni and Sidak corrections for multiple comparisons. In: Salkind NJ, ed. Encyclopedia of measurement and statistics. Thousand Oaks, CA: Sage, pp. 105–6
  • Andersson JL, Hutton C, Ashburner J, et al. (2001). Modeling geometric deformations in EPI time series. Neuroimage. 13:903–19
  • Beckmann CF, DeLuca M, Devlin JT, Smith SM. (2005). Investigations into resting-state connectivity using independent component analysis. Philos Trans R Soc Lond B Biol Sci. 360:1001–13
  • Beckmann CF, Mackay CE, Filippini N, Smith SM. (2009). Group comparison of resting-state FMRI data using multi-subject ICA and dual regression. OHBM poster
  • Biswal B, Yetkin FZ, Haughton VM, Hyde JS. (1995). Functional connectivity in the motor cortex of resting human brain using echo-planar MRI. Magn Reson Med. 34:537–41
  • Biswal BB, Mennes M, Zuo XN, et al. (2010). Toward discovery science of human brain function. Proc Natl Acad Sci USA. 107:4734–9
  • Blautzik J, Vetter C, Peres I, et al. (2013). Classifying fMRI-derived resting-state connectivity patterns according to their daily rhythmicity. Neuroimage. 71:298–306
  • Borbely AA. (1982). A two process model of sleep regulation. Hum Neurobiol. 1:195–204
  • Brookes MJ, Woolrich M, Luckhoo H, et al. (2011). Investigating the electrophysiological basis of resting state networks using magnetoencephalography. Proc Natl Acad Sci USA. 108:16783–8
  • Brown EN, Czeisler CA. (1992). The statistical analysis of circadian phase and amplitude in constant-routine core-temperature data. J Biol Rhythms. 7:177–202
  • Cordes D, Haughton VM, Arfanakis K, et al. (2001). Frequencies contributing to functional connectivity in the cerebral cortex in “resting-state” data. AJNR Am J Neuroradiol. 22:1326–33
  • Dagli MS, Ingeholm JE, Haxby JV. (1999). Localization of cardiac-induced signal change in fMRI. Neuroimage. 9:407–15
  • Damoiseaux JS, Rombouts SA, Barkhof F, et al. (2006). Consistent resting-state networks across healthy subjects. Proc Natl Acad Sci USA. 103:13848–53
  • Drobnjak I, Gavaghan D, Suli E, et al. (2006). Development of a functional magnetic resonance imaging simulator for modeling realistic rigid-body motion artifacts. Magn Reson Med. 56:364–80
  • Fair DA, Cohen AL, Dosenbach NU, et al. (2008). The maturing architecture of the brain's default network. Proc Natl Acad Sci USA. 105:4028–32
  • Fox MD, Corbetta M, Snyder AZ, et al. (2006). Spontaneous neuronal activity distinguishes human dorsal and ventral attention systems. Proc Natl Acad Sci USA. 103:10046–51
  • Fox MD, Snyder AZ, Vincent JL, et al. (2005). The human brain is intrinsically organized into dynamic, anticorrelated functional networks. Proc Natl Acad Sci USA. 102:9673–8
  • Greicius MD, Srivastava G, Reiss AL, Menon V. (2004). Default-mode network activity distinguishes Alzheimer's disease from healthy aging: Evidence from functional MRI. Proc Natl Acad Sci USA. 101:4637–42
  • He BJ, Snyder AZ, Zempel JM, et al. (2008). Electrophysiological correlates of the brain's intrinsic large-scale functional architecture. Proc Natl Acad Sci USA. 105:16039–44
  • Hofman MA, Swaab DF. (2006). Living by the clock: The circadian pacemaker in older people. Ageing Res Rev. 5:33–51
  • Jenkinson M, Bannister P, Brady M, Smith S. (2002). Improved optimization for the robust and accurate linear registration and motion correction of brain images. Neuroimage. 17:825–41
  • Jenkinson M, Smith S. (2001). A global optimisation method for robust affine registration of brain images. Med Image Anal. 5:143–56
  • Kondratova AA, Kondratov RV. (2012). The circadian clock and pathology of the ageing brain. Nat Rev Neurosci. 13:325–35
  • Laird AR, Eickhoff SB, Li K, et al. (2009). Investigating the functional heterogeneity of the default mode network using coordinate-based meta-analytic modeling. J Neurosci. 29:14496–505
  • Laird AR, Fox PM, Eickhoff SB, et al. (2011). Behavioral interpretations of intrinsic connectivity networks. J Cogn Neurosci. 23:4022–37
  • Lund TE, Madsen KH, Sidaros K, et al. (2006). Non-white noise in fMRI: Does modelling have an impact? Neuroimage. 29:54–66
  • Lustig C, Snyder AZ, Bhakta M, et al. (2003). Functional deactivations: Change with age and dementia of the Alzheimer type. Proc Natl Acad Sci USA. 100:14504–9
  • Mantini D, Perrucci MG, Del Gratta C, et al. (2007). Electrophysiological signatures of resting state networks in the human brain. Proc Natl Acad Sci USA. 104:13170–5
  • Merrow M, Spoelstra K, Roenneberg T. (2005). The circadian cycle: Daily rhythms from behaviour to genes. EMBO Rep. 6:930–5
  • Naismith SL, Rogers NL, Hickie IB, et al. (2010). Sleep well, think well: Sleep-wake disturbance in mild cognitive impairment. J Geriatr Psychiatry Neurol. 23:123–30
  • Oldfield RC. (1971). The assessment and analysis of handedness: The Edinburgh inventory. Neuropsychologia 9:97–113
  • Petersen RC, Doody R, Kurz A, et al. (2001). Current concepts in mild cognitive impairment. Arch Neurol. 58:1985–92
  • Petersen RC, Smith GE, Waring SC, et al. (1999). Mild cognitive impairment: Clinical characterization and outcome. Arch Neurol. 56:303–8
  • Pizoli CE, Shah MN, Snyder AZ, et al. (2011). Resting-state activity in development and maintenance of normal brain function. Proc Natl Acad Sci USA. 108:11638–43
  • Portaluppi F, Smolensky MH, Touitou Y. (2010). Ethics and methods for biological rhythm research on animals and human beings. Chronobiol Int. 27:1911–29
  • Raichle ME, MacLeod AM, Snyder AZ, et al. (2001). A default mode of brain function. Proc Natl Acad Sci USA. 98:676–82
  • Rocca MA, Valsasina P, Absinta M, et al. (2010). Default-mode network dysfunction and cognitive impairment in progressive MS. Neurology. 74:1252–9
  • Roenneberg T, Kuehnle T, Juda M, et al. (2007). Epidemiology of the human circadian clock. Sleep Med Rev. 11:429–38
  • Roenneberg T, Merrow M. (2005). Circadian clocks – The fall and rise of physiology. Nat Rev Mol Cell Biol. 6:965–71
  • Roenneberg T, Wirz-Justice A, Merrow M. (2003). Life between clocks: Daily temporal patterns of human chronotypes. J Biol Rhythms. 18:80–90
  • Rombouts SA, Barkhof F, Goekoop R, et al. (2005). Altered resting state networks in mild cognitive impairment and mild Alzheimer's disease: An fMRI study. Hum Brain Mapp. 26:231–9
  • Schmidt C, Collette F, Cajochen C, Peigneux P. (2007). A time to think: Circadian rhythms in human cognition. Cogn Neuropsychol. 24:755–89
  • Shmuel A, Leopold DA. (2008). Neuronal correlates of spontaneous fluctuations in fMRI signals in monkey visual cortex: Implications for functional connectivity at rest. Hum Brain Mapp. 29:751–61
  • Sorg C, Riedl V, Muhlau M, et al. (2007). Selective changes of resting-state networks in individuals at risk for Alzheimer's disease. Proc Natl Acad Sci USA. 104:18760–5
  • Stigler KA, McDonald BC, Anand A, et al. (2011). Structural and functional magnetic resonance imaging of autism spectrum disorders. Brain Res. 1380:146–61
  • Stranahan AM. (2012). Chronobiological approaches to Alzheimer's disease. Curr Alzheimer Res. 9:93–8
  • Tagliazucchi E, Laufs H. (2014). Decoding wakefulness levels from typical fMRI resting-state data reveals reliable drifts between wakefulness and sleep. Neuron. 82:695–708
  • Tomasi D, Volkow ND. (2012). Aging and functional brain networks. Mol Psychiatry. 17:549–58
  • Tranah GJ, Blackwell T, Stone KL, et al.; Group, S.O.F.R. (2011). Circadian activity rhythms and risk of incident dementia and mild cognitive impairment in older women. Ann Neurol. 70:722–32
  • Vandewalle G, Balteau E, Phillips C, et al. (2006). Daytime light exposure dynamically enhances brain responses. Curr Biol. 16:1616–21
  • Verstraete E, van den Heuvel MP, Veldink JH, et al. (2010). Motor network degeneration in amyotrophic lateral sclerosis: A structural and functional connectivity study. PLoS One. 5:e13664
  • Zhang HY, Wang SJ, Liu B, et al. (2010). Resting brain connectivity: Changes during the progress of Alzheimer disease. Radiology. 256:598–606
  • Zuo XN, Kelly C, Adelstein JS, et al. (2010). Reliable intrinsic connectivity networks: Test-retest evaluation using ICA and dual regression approach. Neuroimage. 49:2163–77

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.