Complexity of low-frequency blood oxygen level-dependent fluctuations covaries with local connectivity

Very low‐frequency blood oxygen level‐dependent (BOLD) fluctuations have emerged as a valuable tool for describing brain anatomy, neuropathology, and development. Such fluctuations exhibit power law frequency dynamics, with largest amplitude at lowest frequencies. The biophysical mechanisms generati...

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Bibliographic Details
Published inHuman brain mapping Vol. 35; no. 4; pp. 1273 - 1283
Main Authors Anderson, Jeffrey S., Zielinski, Brandon A., Nielsen, Jared A., Ferguson, Michael A.
Format Journal Article
LanguageEnglish
Published New York, NY Blackwell Publishing Ltd 01.04.2014
Wiley-Liss
John Wiley & Sons, Inc
John Wiley and Sons Inc
Subjects
1/f
Adolescent
Adult
avalanche dynamics
Biological and medical sciences
Brain - anatomy & histology
Brain - growth & development
Brain - physiology
brain development
Brain Mapping - methods
Cardiovascular system
Cerebrovascular Circulation - physiology
chaos theory
Child
complexity
Databases, Factual
fcMRI
Female
fMRI
Head
Humans
Investigative techniques, diagnostic techniques (general aspects)
long memory
Magnetic Resonance Imaging - methods
Male
Medical sciences
Motion
Nerve Fibers, Unmyelinated - physiology
Nervous system
Neural Pathways - anatomy & histology
Neural Pathways - growth & development
Neural Pathways - physiology
Oxygen - blood
power law
Radiodiagnosis. Nmr imagery. Nmr spectrometry
regional homogeneity
resting state fMRI
Signal Processing, Computer-Assisted
Young Adult
Chaos
brain development
chaos theory
Fluctuations
Oxygen
Nervous system diseases
Radiodiagnosis
Theory
Memory
Central nervous system
1/f
avalanche dynamics
fcMRI
resting state fMRI
Low frequency
Nuclear magnetic resonance imaging
Complexity
Encephalon
power law
fMRI
long memory
regional homogeneity
complexity
Online AccessGet full text
ISSN1065-9471
1097-0193
1097-0193
DOI10.1002/hbm.22251

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Abstract Very low‐frequency blood oxygen level‐dependent (BOLD) fluctuations have emerged as a valuable tool for describing brain anatomy, neuropathology, and development. Such fluctuations exhibit power law frequency dynamics, with largest amplitude at lowest frequencies. The biophysical mechanisms generating such fluctuations are poorly understood. Using publicly available data from 1,019 subjects of age 7–30, we show that BOLD fluctuations exhibit temporal complexity that is linearly related to local connectivity (regional homogeneity), consistently and significantly covarying across subjects and across gray matter regions. This relationship persisted independently of covariance with gray matter density or standard deviation of BOLD signal. During late neurodevelopment, BOLD fluctuations were unchanged with age in association cortex while becoming more random throughout the rest of the brain. These data suggest that local interconnectivity may play a key role in establishing the complexity of low‐frequency BOLD fluctuations underlying functional magnetic resonance imaging connectivity. Stable low‐frequency power dynamics may emerge through segmentation and integration of connectivity during development of distributed large‐scale brain networks. Hum Brain Mapp 35:1273–1283, 2014. © 2013 Wiley Periodicals, Inc.
AbstractList Very low-frequency blood oxygen level-dependent (BOLD) fluctuations have emerged as a valuable tool for describing brain anatomy, neuropathology, and development. Such fluctuations exhibit power law frequency dynamics, with largest amplitude at lowest frequencies. The biophysical mechanisms generating such fluctuations are poorly understood. Using publicly available data from 1,019 subjects of age 7-30, we show that BOLD fluctuations exhibit temporal complexity that is linearly related to local connectivity (regional homogeneity), consistently and significantly covarying across subjects and across gray matter regions. This relationship persisted independently of covariance with gray matter density or standard deviation of BOLD signal. During late neurodevelopment, BOLD fluctuations were unchanged with age in association cortex while becoming more random throughout the rest of the brain. These data suggest that local interconnectivity may play a key role in establishing the complexity of low-frequency BOLD fluctuations underlying functional magnetic resonance imaging connectivity. Stable low-frequency power dynamics may emerge through segmentation and integration of connectivity during development of distributed large-scale brain networks.Very low-frequency blood oxygen level-dependent (BOLD) fluctuations have emerged as a valuable tool for describing brain anatomy, neuropathology, and development. Such fluctuations exhibit power law frequency dynamics, with largest amplitude at lowest frequencies. The biophysical mechanisms generating such fluctuations are poorly understood. Using publicly available data from 1,019 subjects of age 7-30, we show that BOLD fluctuations exhibit temporal complexity that is linearly related to local connectivity (regional homogeneity), consistently and significantly covarying across subjects and across gray matter regions. This relationship persisted independently of covariance with gray matter density or standard deviation of BOLD signal. During late neurodevelopment, BOLD fluctuations were unchanged with age in association cortex while becoming more random throughout the rest of the brain. These data suggest that local interconnectivity may play a key role in establishing the complexity of low-frequency BOLD fluctuations underlying functional magnetic resonance imaging connectivity. Stable low-frequency power dynamics may emerge through segmentation and integration of connectivity during development of distributed large-scale brain networks.
Very low‐frequency blood oxygen level‐dependent (BOLD) fluctuations have emerged as a valuable tool for describing brain anatomy, neuropathology, and development. Such fluctuations exhibit power law frequency dynamics, with largest amplitude at lowest frequencies. The biophysical mechanisms generating such fluctuations are poorly understood. Using publicly available data from 1,019 subjects of age 7–30, we show that BOLD fluctuations exhibit temporal complexity that is linearly related to local connectivity (regional homogeneity), consistently and significantly covarying across subjects and across gray matter regions. This relationship persisted independently of covariance with gray matter density or standard deviation of BOLD signal. During late neurodevelopment, BOLD fluctuations were unchanged with age in association cortex while becoming more random throughout the rest of the brain. These data suggest that local interconnectivity may play a key role in establishing the complexity of low‐frequency BOLD fluctuations underlying functional magnetic resonance imaging connectivity. Stable low‐frequency power dynamics may emerge through segmentation and integration of connectivity during development of distributed large‐scale brain networks. Hum Brain Mapp 35:1273–1283, 2014 . © 2013 Wiley Periodicals, Inc.
Very low-frequency blood oxygen level-dependent (BOLD) fluctuations have emerged as a valuable tool for describing brain anatomy, neuropathology, and development. Such fluctuations exhibit power law frequency dynamics, with largest amplitude at lowest frequencies. The biophysical mechanisms generating such fluctuations are poorly understood. Using publicly available data from 1,019 subjects of age 7-30, we show that BOLD fluctuations exhibit temporal complexity that is linearly related to local connectivity (regional homogeneity), consistently and significantly covarying across subjects and across gray matter regions. This relationship persisted independently of covariance with gray matter density or standard deviation of BOLD signal. During late neurodevelopment, BOLD fluctuations were unchanged with age in association cortex while becoming more random throughout the rest of the brain. These data suggest that local interconnectivity may play a key role in establishing the complexity of low-frequency BOLD fluctuations underlying functional magnetic resonance imaging connectivity. Stable low-frequency power dynamics may emerge through segmentation and integration of connectivity during development of distributed large-scale brain networks.
Very low-frequency blood oxygen level-dependent (BOLD) fluctuations have emerged as a valuable tool for describing brain anatomy, neuropathology, and development. Such fluctuations exhibit power law frequency dynamics, with largest amplitude at lowest frequencies. The biophysical mechanisms generating such fluctuations are poorly understood. Using publicly available data from 1,019 subjects of age 7-30, we show that BOLD fluctuations exhibit temporal complexity that is linearly related to local connectivity (regional homogeneity), consistently and significantly covarying across subjects and across gray matter regions. This relationship persisted independently of covariance with gray matter density or standard deviation of BOLD signal. During late neurodevelopment, BOLD fluctuations were unchanged with age in association cortex while becoming more random throughout the rest of the brain. These data suggest that local interconnectivity may play a key role in establishing the complexity of low-frequency BOLD fluctuations underlying functional magnetic resonance imaging connectivity. Stable low-frequency power dynamics may emerge through segmentation and integration of connectivity during development of distributed large-scale brain networks. Hum Brain Mapp 35:1273-1283, 2014. © 2013 Wiley Periodicals, Inc. [PUBLICATION ABSTRACT]
Very low‐frequency blood oxygen level‐dependent (BOLD) fluctuations have emerged as a valuable tool for describing brain anatomy, neuropathology, and development. Such fluctuations exhibit power law frequency dynamics, with largest amplitude at lowest frequencies. The biophysical mechanisms generating such fluctuations are poorly understood. Using publicly available data from 1,019 subjects of age 7–30, we show that BOLD fluctuations exhibit temporal complexity that is linearly related to local connectivity (regional homogeneity), consistently and significantly covarying across subjects and across gray matter regions. This relationship persisted independently of covariance with gray matter density or standard deviation of BOLD signal. During late neurodevelopment, BOLD fluctuations were unchanged with age in association cortex while becoming more random throughout the rest of the brain. These data suggest that local interconnectivity may play a key role in establishing the complexity of low‐frequency BOLD fluctuations underlying functional magnetic resonance imaging connectivity. Stable low‐frequency power dynamics may emerge through segmentation and integration of connectivity during development of distributed large‐scale brain networks. Hum Brain Mapp 35:1273–1283, 2014. © 2013 Wiley Periodicals, Inc.
Author Zielinski, Brandon A.
Nielsen, Jared A.
Anderson, Jeffrey S.
Ferguson, Michael A.
AuthorAffiliation 3 The Brain Institute at the University of Utah, Salt Lake City, Utah
2 Program in Neuroscience, University of Utah, Salt Lake City, Utah
5 Departments of Pediatrics and Neurology, University of Utah, Salt Lake City, Utah
6 Division of Child Neurology, University of Utah, Salt Lake City, Utah
4 Department of Bioengineering, University of Utah, Salt Lake City, Utah
1 Division of Neuroradiology, University of Utah, Salt Lake City, Utah
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  surname: Anderson
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  organization: Department of Bioengineering, University of Utah, Salt Lake City, Utah
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Cites_doi 10.1111/j.1467-7687.2010.01020.x
10.1177/0269881111408966
10.1016/j.neuroimage.2004.07.012
10.1126/science.286.5439.509
10.3389/fnsys.2010.00021
10.1371/journal.pcbi.1000381
10.1073/pnas.1011616107
10.1103/PhysRevLett.68.2417
10.1016/j.neuroimage.2010.04.009
10.1016/j.neuroimage.2005.03.022
10.1002/hbm.20517
10.1016/j.neuroimage.2003.12.030
10.1016/j.brainres.2009.12.081
10.1016/j.neuron.2010.08.017
10.1371/journal.pone.0006626
10.1016/0165-0270(94)00115-W
10.1073/pnas.0911855107
10.3389/fphys.2012.00186
10.1016/j.neuroimage.2012.02.060
10.1016/S1053-8119(03)00380-X
10.1016/j.biopsych.2010.06.027
10.1016/j.neuroimage.2006.11.042
10.1017/S0033291700027926
10.1016/j.neuroimage.2004.10.044
10.1016/j.neuroimage.2011.10.018
10.1126/science.1194144
10.1006/nimg.1997.0263
10.1006/nimg.2001.0931
10.1191/0962280203sm339ra
10.1002/hbm.20590
10.1002/hbm.20593
10.1523/JNEUROSCI.23-35-11167.2003
10.1016/j.dcn.2010.10.001
10.1002/mrm.1910340409
10.1007/s11065-010-9145-7
10.1089/brain.2011.0007
10.1371/journal.pcbi.1000519
10.1371/journal.pcbi.1000314
10.1523/JNEUROSCI.2111-11.2011
10.1073/pnas.0800376105
10.1016/j.neuroimage.2008.09.036
10.1016/j.braindev.2006.07.002
10.1073/pnas.0705843104
10.1016/j.neuroimage.2009.09.037
10.1016/j.jneumeth.2005.09.020
10.1038/nrn2201
10.1016/j.neuroimage.2009.05.032
10.3174/ajnr.A1220
10.1002/hbm.21079
10.1523/JNEUROSCI.0540-04.2004
10.1016/j.neuroimage.2011.10.062
10.1371/journal.pbio.1000157
10.1093/brain/awr263
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Issue 4
Keywords Chaos
brain development
chaos theory
Fluctuations
Oxygen
Nervous system diseases
Radiodiagnosis
Theory
Memory
Central nervous system
1/f
avalanche dynamics
fcMRI
resting state fMRI
Low frequency
Nuclear magnetic resonance imaging
Complexity
Encephalon
power law
fMRI
long memory
regional homogeneity
complexity
Language English
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References Anderson JS (2008): Origin of synchronized low-frequency blood oxygen level-dependent fluctuations in the primary visual cortex. AJNR Am J Neuroradiol 29:1722-1729.
Barabasi AL, Albert R (1999): Emergence of scaling in random networks. Science 286:509-512.
El Boustani S, Marre O, Behuret S, Baudot P, Yger P, Bal T, Destexhe A, Fregnac Y (2009): Network-state modulation of power-law frequency-scaling in visual cortical neurons. PLoS Comput Biol 5:e1000519.
Fox MD, Greicius M (2010): Clinical applications of resting state functional connectivity. Front Syst Neurosci 4:1-13.
Fox MD, Raichle ME (2007): Spontaneous fluctuations in brain activity observed with functional magnetic resonance imaging. Nat Rev Neurosci 8:700-711.
Murphy K, Birn RM, Handwerker DA, Jones TB, Bandettini PA (2009): The impact of global signal regression on resting state correlations: Are anti-correlated networks introduced?Neuroimage 44:893-905.
Woolrich MW, Ripley BD, Brady M, Smith SM (2001): Temporal autocorrelation in univariate linear modeling of FMRI data. Neuroimage 14:1370-1386.
Zang Y-F, Yong H, Chao-Zhe Z, Qing-Jiu C, Man-Qiu S, Meng L, Li-Xia T, Tian-Zi J, Yu-Feng W (2007): Altered baseline brain activity in children with ADHD revealed by resting-state functional MRI. Brain Dev 29:83-91.
Bullmore E, Barnes A, Bassett DS, Fornito A, Kitzbichler M, Meunier D, Suckling J (2009): Generic aspects of complexity in brain imaging data and other biological systems. Neuroimage 47:1125-1134.
Caserta F, Eldred WD, Fernandez E, Hausman RE, Stanford LR, Bulderev SV, Schwarzer S, Stanley HE (1995): Determination of fractal dimension of physiologically characterized neurons in two and three dimensions. J Neurosci Methods 56:133-144.
Bullmore E, Brammer M, Harvey I, Persaud R, Murray R, Ron M (1994): Fractal analysis of the boundary between white matter and cerebral cortex in magnetic resonance images: A controlled study of schizophrenic and manic-depressive patients. Psychol Med 24:771-781.
Kiselev VG, Hahn KR, Auer DP (2003): Is the brain cortex a fractal?Neuroimage 20:1765-1774.
Anderson JS, Nielsen JA, Froehlich AL, DuBray MB, Druzgal TJ, Cariello AN, Cooperrider JR, Zielinski BA, Ravichandran C, Fletcher PT, Alexander AL, Bigler ED, Lange N, Lainhart JE (2011c): Functional connectivity magnetic resonance imaging classification of autism. Brain 134:3742-3754.
Bullmore E, Fadili J, Maxim V, Sendur L, Whitcher B, Suckling J, Brammer M, Breakspear M (2004): Wavelets and functional magnetic resonance imaging of the human brain. Neuroimage 23(Suppl 1):S234-S249.
Dosenbach NU, Nardos B, Cohen AL, Fair DA, Power JD, Church JA, Nelson SM, Wig GS, Vogel AC, Lessov-Schlaggar CN, Barnes KA, Dubis JW, Feczko E, Coalson RS, Pruett JR Jr, Barch DM, Petersen SE, Schlaggar BL (2010): Prediction of individual brain maturity using fMRI. Science 329:1358-1361.
Maxim V, Sendur L, Fadili J, Suckling J, Gould R, Howard R, Bullmore E (2005): Fractional Gaussian noise, functional MRI and Alzheimer's disease. Neuroimage 25:141-158.
Supekar K, Uddin LQ, Prater K, Amin H, Greicius MD, Menon V (2010): Development of functional and structural connectivity within the default mode network in young children. Neuroimage 52:290-301.
Mendez MA, Zuluaga P, Hornero R, Gomez C, Escudero J, Rodriguez-Palancas A, Ortiz T, Fernandez A (2011): Complexity analysis of spontaneous brain activity: Effects of depression and antidepressant treatment. J Psychopharmacol 26:636-643.
Anderson JS, Druzgal TJ, Lopez-Larson M, Jeong EK, Desai K, Yurgelun-Todd D (2011a): Network anticorrelations, global regression, and phase-shifted soft tissue correction. Hum Brain Mapp 32:919-934.
Zang Y, Jiang T, Lu Y, He Y, Tian L (2004): Regional homogeneity approach to fMRI data analysis. Neuroimage 22:394-400.
Beggs JM, Plenz D (2004): Neuronal avalanches are diverse and precise activity patterns that are stable for many hours in cortical slice cultures. J Neurosci 24:5216-5229.
Poil SS, van Ooyen A, Linkenkaer-Hansen K (2008): Avalanche dynamics of human brain oscillations: Relation to critical branching processes and temporal correlations. Hum Brain Mapp 29:770-777.
Power JD, Fair DA, Schlaggar BL, Petersen SE (2010): The development of human functional brain networks. Neuron 67:735-748.
Christensen K, Olami Z, Bak P (1992): Deterministic 1/f noise in nonconserative models of self-organized criticality. Phys Rev Lett 68:2417-2420.
Uddin LQ, Supekar K, Menon V (2010): Typical and atypical development of functional human brain networks: Insights from resting-state FMRI. Front Syst Neurosci 4:21.
Ciuciu P, Varoquaux G, Abry P, Sadaghiani S, Kleinschmidt A (2012): Scale-free and multifractal time dynamics of fmri signals during rest and task. Front Physiol 3:186.
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 34:537-541.
Gordon EM, Lee PS, Maisog JM, Foss-Feig J, Billington ME, Vanmeter J, Vaidya CJ (2011): Strength of default mode resting-state connectivity relates to white matter integrity in children. Dev Sci 14:738-751.
Vogel AC, Power JD, Petersen SE, Schlaggar BL (2011): Development of the brain's functional network architecture. Neuropsychol Rev 20:362-375.
Zarahn E, Aguirre GK, D'Esposito M (1997): Empirical analyses of BOLD fMRI statistics. I. Spatially unsmoothed data collected under null-hypothesis conditions. Neuroimage 5:179-197.
Rubinov M, Knock SA, Stam CJ, Micheloyannis S, Harris AW, Williams LM, Breakspear M (2009): Small-world properties of nonlinear brain activity in schizophrenia. Hum Brain Mapp 30:403-416.
He Y, Wang L, Zang Y, Tian L, Zhang X, Li K, Jiang T (2007): Regional coherence changes in the early stages of Alzheimer's disease: A combined structural and resting-state functional MRI study. Neuroimage 35:488-500.
Kitzbichler MG, Smith ML, Christensen SR, Bullmore E (2009): Broadband criticality of human brain network synchronization. PLoS Comput Biol 5:e1000314.
Fair DA, Cohen AL, Dosenbach NU, Church JA, Miezin FM, Barch DM, Raichle ME, Petersen SE, Schlaggar BL (2008): The maturing architecture of the brain's default network. Proc Natl Acad Sci USA 105:4028-4032.
Power JD, Barnes KA, Snyder AZ, Schlaggar BL, Petersen SE (2012): Spurious but systematic correlations in functional connectivity MRI networks arise from subject motion. Neuroimage 59:2142-2154.
Zuo XN, Di Martino A, Kelly C, Shehzad ZE, Gee DG, Klein DF, Castellanos FX, Biswal BB, Milham MP (2010): The oscillating brain: Complex and reliable. Neuroimage 49:1432-1445.
Anderson CM, Lowen SB, Renshaw PF (2006): Emotional task-dependent low-frequency fluctuations and methylphenidate: Wavelet scaling analysis of 1/f-type fluctuations in fMRI of the cerebellar vermis. J Neurosci Methods,151:52-61.
ADHD-200_Consortium (2012): The ADHD-200 Consortium: A model to advance the translational potential of neuroimaging in clinical neuroscience. Front Syst Neurosci 6:62.
Biswal BB, Mennes M, Zuo XN, Gohel S, Kelly C, Smith SM, Beckmann CF, Adelstein JS, Buckner RL, Colcombe S, Dogonowski AM, Ernst M, Fair D, Hampson M, Hoptman MJ, Hyde JS, Kiviniemi VJ, Kotter R, Li SJ, Lin CP, Lowe MJ, Mackay C, Madden DJ, Madsen KH, Margulies DS, Mayberg HS, McMahon K, Monk CS, Mostofsky SH, Nagel BJ, Pekar JJ, Peltier SJ, Petersen SE, Riedl V, Rombouts SA, Rypma B, Schlaggar BL, Schmidt S, Seidler RD, Siegle GJ, Sorg C, Teng GJ, Veijola J, Villringer A, Walter M, Wang L, Weng XC, Whitfield-Gabrieli S, Williamson P, Windischberger C, Zang YF, Zhang HY, Castellanos FX, Milham MP (2010): Toward discovery science of human brain function. Proc Natl Acad Sci USA 107:4734-4739.
Wink AM, Bullmore E, Barnes A, Bernard F, Suckling J (2008): Monofractal and multifractal dynamics of low frequency endogenous brain oscillations in functional MRI. Hum Brain Mapp 29:791-801.
Lopez-Larson MP, Anderson JS, Ferguson MA, Yurgelun-Todd D (2011): Local brain connectivity and associations with gender and age. Dev Cogn Neurosci 1:187-197.
Bullmore E, Fadili J, Breakspear M, Salvador R, Suckling J, Brammer M (2003): Wavelets and statistical analysis of functional magnetic resonance images of the human brain. Stat Methods Med Res 12:375-399.
Beggs JM, Plenz D (2003): Neuronal avalanches in neocortical circuits. J Neurosci 23:11167-11177.
Paakki JJ, Rahko J, Long X, Moilanen I, Tervonen O, Nikkinen J, Starck T, Remes J, Hurtig T, Haapsamo H, Jussila K, Kuusikko-Gauffin S, Mattila ML, Zang Y, Kiviniemi V (2010): Alterations in regional homogeneity of resting-state brain activity in autism spectrum disorders. Brain Res 1321:169-179.
Supekar K, Musen M, Menon V (2009): Development of large-scale functional brain networks in children. PLoS Biol 7:e1000157.
Rombouts SA, Goekoop R, Stam CJ, Barkhof F, Scheltens P (2005): Delayed rather than decreased BOLD response as a marker for early Alzheimer's disease. Neuroimage 26:1078-1085.
Cordes D, Haughton VM, Arfanakis K, Carew JD, Turski PA, Moritz CH, Quigley MA, Meyerand ME (2001): Frequencies contributing to functional connectivity in the cerebral cortex in "resting-state" data. AJNR Am J Neuroradiol 22:1326-1333.
Barnes A, Bullmore ET, Suckling J (2009): Endogenous human brain dynamics recover slowly following cognitive effort. PloS One 4:e6626.
Fair DA, Dosenbach NU, Church JA, Cohen AL, Brahmbhatt S, Miezin FM, Barch DM, Raichle ME, Petersen SE, Schlaggar BL (2007): Development of distinct control networks through segregation and integration. Proc Natl Acad Sci USA 104:13507-13512.
Anderson JS, Ferguson MA, Lopez-Larson M, Yurgelun-Todd D (2010): Topographic maps of multisensory attention. Proc Natl Acad Sci USA 107:20110-20114.
Fair DA, Cohen AL, Power JD, Dosenbach NU, Church JA, Miezin FM, Schlaggar BL, Petersen SE (2009): Functional brain networks develop from a "local to distributed" organization. PLoS Comput Biol 5:e1000381.
Ferguson MA, Anderson JS (2012): Dynamical stability of intrinsic connectivity networks. Neuroimage 59:4022-4031.
He BJ (2011): Scale-free propert
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References_xml – reference: Biswal BB, Mennes M, Zuo XN, Gohel S, Kelly C, Smith SM, Beckmann CF, Adelstein JS, Buckner RL, Colcombe S, Dogonowski AM, Ernst M, Fair D, Hampson M, Hoptman MJ, Hyde JS, Kiviniemi VJ, Kotter R, Li SJ, Lin CP, Lowe MJ, Mackay C, Madden DJ, Madsen KH, Margulies DS, Mayberg HS, McMahon K, Monk CS, Mostofsky SH, Nagel BJ, Pekar JJ, Peltier SJ, Petersen SE, Riedl V, Rombouts SA, Rypma B, Schlaggar BL, Schmidt S, Seidler RD, Siegle GJ, Sorg C, Teng GJ, Veijola J, Villringer A, Walter M, Wang L, Weng XC, Whitfield-Gabrieli S, Williamson P, Windischberger C, Zang YF, Zhang HY, Castellanos FX, Milham MP (2010): Toward discovery science of human brain function. Proc Natl Acad Sci USA 107:4734-4739.
– reference: Fox MD, Greicius M (2010): Clinical applications of resting state functional connectivity. Front Syst Neurosci 4:1-13.
– reference: Uddin LQ, Supekar K, Menon V (2010): Typical and atypical development of functional human brain networks: Insights from resting-state FMRI. Front Syst Neurosci 4:21.
– reference: Maxim V, Sendur L, Fadili J, Suckling J, Gould R, Howard R, Bullmore E (2005): Fractional Gaussian noise, functional MRI and Alzheimer's disease. Neuroimage 25:141-158.
– reference: Rombouts SA, Goekoop R, Stam CJ, Barkhof F, Scheltens P (2005): Delayed rather than decreased BOLD response as a marker for early Alzheimer's disease. Neuroimage 26:1078-1085.
– reference: Ferguson MA, Anderson JS (2012): Dynamical stability of intrinsic connectivity networks. Neuroimage 59:4022-4031.
– reference: He Y, Wang L, Zang Y, Tian L, Zhang X, Li K, Jiang T (2007): Regional coherence changes in the early stages of Alzheimer's disease: A combined structural and resting-state functional MRI study. Neuroimage 35:488-500.
– reference: Supekar K, Musen M, Menon V (2009): Development of large-scale functional brain networks in children. PLoS Biol 7:e1000157.
– reference: Paakki JJ, Rahko J, Long X, Moilanen I, Tervonen O, Nikkinen J, Starck T, Remes J, Hurtig T, Haapsamo H, Jussila K, Kuusikko-Gauffin S, Mattila ML, Zang Y, Kiviniemi V (2010): Alterations in regional homogeneity of resting-state brain activity in autism spectrum disorders. Brain Res 1321:169-179.
– reference: Bullmore E, Fadili J, Maxim V, Sendur L, Whitcher B, Suckling J, Brammer M, Breakspear M (2004): Wavelets and functional magnetic resonance imaging of the human brain. Neuroimage 23(Suppl 1):S234-S249.
– reference: Vogel AC, Power JD, Petersen SE, Schlaggar BL (2011): Development of the brain's functional network architecture. Neuropsychol Rev 20:362-375.
– reference: Supekar K, Uddin LQ, Prater K, Amin H, Greicius MD, Menon V (2010): Development of functional and structural connectivity within the default mode network in young children. Neuroimage 52:290-301.
– reference: Zang Y, Jiang T, Lu Y, He Y, Tian L (2004): Regional homogeneity approach to fMRI data analysis. Neuroimage 22:394-400.
– reference: Fair DA, Dosenbach NU, Church JA, Cohen AL, Brahmbhatt S, Miezin FM, Barch DM, Raichle ME, Petersen SE, Schlaggar BL (2007): Development of distinct control networks through segregation and integration. Proc Natl Acad Sci USA 104:13507-13512.
– reference: Rubinov M, Knock SA, Stam CJ, Micheloyannis S, Harris AW, Williams LM, Breakspear M (2009): Small-world properties of nonlinear brain activity in schizophrenia. Hum Brain Mapp 30:403-416.
– reference: Beggs JM, Plenz D (2003): Neuronal avalanches in neocortical circuits. J Neurosci 23:11167-11177.
– reference: Gordon EM, Lee PS, Maisog JM, Foss-Feig J, Billington ME, Vanmeter J, Vaidya CJ (2011): Strength of default mode resting-state connectivity relates to white matter integrity in children. Dev Sci 14:738-751.
– reference: Ciuciu P, Varoquaux G, Abry P, Sadaghiani S, Kleinschmidt A (2012): Scale-free and multifractal time dynamics of fmri signals during rest and task. Front Physiol 3:186.
– reference: Dosenbach NU, Nardos B, Cohen AL, Fair DA, Power JD, Church JA, Nelson SM, Wig GS, Vogel AC, Lessov-Schlaggar CN, Barnes KA, Dubis JW, Feczko E, Coalson RS, Pruett JR Jr, Barch DM, Petersen SE, Schlaggar BL (2010): Prediction of individual brain maturity using fMRI. Science 329:1358-1361.
– reference: Bullmore E, Fadili J, Breakspear M, Salvador R, Suckling J, Brammer M (2003): Wavelets and statistical analysis of functional magnetic resonance images of the human brain. Stat Methods Med Res 12:375-399.
– reference: Anderson JS, Ferguson MA, Lopez-Larson M, Yurgelun-Todd D (2011b): Connectivity gradients between the default mode and attention control networks. Brain Connect 1:147-157.
– reference: Fair DA, Cohen AL, Power JD, Dosenbach NU, Church JA, Miezin FM, Schlaggar BL, Petersen SE (2009): Functional brain networks develop from a "local to distributed" organization. PLoS Comput Biol 5:e1000381.
– reference: Lai MC, Lombardo MV, Chakrabarti B, Sadek SA, Pasco G, Wheelwright SJ, Bullmore ET, Baron-Cohen S, Suckling J (2010): A shift to randomness of brain oscillations in people with autism. Biol Psychiatry 68:1092-1099.
– reference: Anderson CM, Lowen SB, Renshaw PF (2006): Emotional task-dependent low-frequency fluctuations and methylphenidate: Wavelet scaling analysis of 1/f-type fluctuations in fMRI of the cerebellar vermis. J Neurosci Methods,151:52-61.
– reference: Zarahn E, Aguirre GK, D'Esposito M (1997): Empirical analyses of BOLD fMRI statistics. I. Spatially unsmoothed data collected under null-hypothesis conditions. Neuroimage 5:179-197.
– reference: Kitzbichler MG, Smith ML, Christensen SR, Bullmore E (2009): Broadband criticality of human brain network synchronization. PLoS Comput Biol 5:e1000314.
– reference: Wink AM, Bullmore E, Barnes A, Bernard F, Suckling J (2008): Monofractal and multifractal dynamics of low frequency endogenous brain oscillations in functional MRI. Hum Brain Mapp 29:791-801.
– reference: Fair DA, Cohen AL, Dosenbach NU, Church JA, Miezin FM, Barch DM, Raichle ME, Petersen SE, Schlaggar BL (2008): The maturing architecture of the brain's default network. Proc Natl Acad Sci USA 105:4028-4032.
– reference: Cordes D, Haughton VM, Arfanakis K, Carew JD, Turski PA, Moritz CH, Quigley MA, Meyerand ME (2001): Frequencies contributing to functional connectivity in the cerebral cortex in "resting-state" data. AJNR Am J Neuroradiol 22:1326-1333.
– reference: Anderson JS (2008): Origin of synchronized low-frequency blood oxygen level-dependent fluctuations in the primary visual cortex. AJNR Am J Neuroradiol 29:1722-1729.
– reference: Beggs JM, Plenz D (2004): Neuronal avalanches are diverse and precise activity patterns that are stable for many hours in cortical slice cultures. J Neurosci 24:5216-5229.
– reference: Fox MD, Raichle ME (2007): Spontaneous fluctuations in brain activity observed with functional magnetic resonance imaging. Nat Rev Neurosci 8:700-711.
– reference: ADHD-200_Consortium (2012): The ADHD-200 Consortium: A model to advance the translational potential of neuroimaging in clinical neuroscience. Front Syst Neurosci 6:62.
– reference: Zang Y-F, Yong H, Chao-Zhe Z, Qing-Jiu C, Man-Qiu S, Meng L, Li-Xia T, Tian-Zi J, Yu-Feng W (2007): Altered baseline brain activity in children with ADHD revealed by resting-state functional MRI. Brain Dev 29:83-91.
– reference: He BJ (2011): Scale-free properties of the functional magnetic resonance imaging signal during rest and task. J Neurosci 31:13786-13795.
– reference: Bullmore E, Brammer M, Harvey I, Persaud R, Murray R, Ron M (1994): Fractal analysis of the boundary between white matter and cerebral cortex in magnetic resonance images: A controlled study of schizophrenic and manic-depressive patients. Psychol Med 24:771-781.
– reference: Barabasi AL, Albert R (1999): Emergence of scaling in random networks. Science 286:509-512.
– reference: Christensen K, Olami Z, Bak P (1992): Deterministic 1/f noise in nonconserative models of self-organized criticality. Phys Rev Lett 68:2417-2420.
– reference: 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 34:537-541.
– reference: Lopez-Larson MP, Anderson JS, Ferguson MA, Yurgelun-Todd D (2011): Local brain connectivity and associations with gender and age. Dev Cogn Neurosci 1:187-197.
– reference: Woolrich MW, Ripley BD, Brady M, Smith SM (2001): Temporal autocorrelation in univariate linear modeling of FMRI data. Neuroimage 14:1370-1386.
– reference: Kiselev VG, Hahn KR, Auer DP (2003): Is the brain cortex a fractal?Neuroimage 20:1765-1774.
– reference: Mendez MA, Zuluaga P, Hornero R, Gomez C, Escudero J, Rodriguez-Palancas A, Ortiz T, Fernandez A (2011): Complexity analysis of spontaneous brain activity: Effects of depression and antidepressant treatment. J Psychopharmacol 26:636-643.
– reference: Bullmore E, Barnes A, Bassett DS, Fornito A, Kitzbichler M, Meunier D, Suckling J (2009): Generic aspects of complexity in brain imaging data and other biological systems. Neuroimage 47:1125-1134.
– reference: Anderson JS, Nielsen JA, Froehlich AL, DuBray MB, Druzgal TJ, Cariello AN, Cooperrider JR, Zielinski BA, Ravichandran C, Fletcher PT, Alexander AL, Bigler ED, Lange N, Lainhart JE (2011c): Functional connectivity magnetic resonance imaging classification of autism. Brain 134:3742-3754.
– reference: Anderson JS, Druzgal TJ, Lopez-Larson M, Jeong EK, Desai K, Yurgelun-Todd D (2011a): Network anticorrelations, global regression, and phase-shifted soft tissue correction. Hum Brain Mapp 32:919-934.
– reference: Murphy K, Birn RM, Handwerker DA, Jones TB, Bandettini PA (2009): The impact of global signal regression on resting state correlations: Are anti-correlated networks introduced?Neuroimage 44:893-905.
– reference: Power JD, Barnes KA, Snyder AZ, Schlaggar BL, Petersen SE (2012): Spurious but systematic correlations in functional connectivity MRI networks arise from subject motion. Neuroimage 59:2142-2154.
– reference: Caserta F, Eldred WD, Fernandez E, Hausman RE, Stanford LR, Bulderev SV, Schwarzer S, Stanley HE (1995): Determination of fractal dimension of physiologically characterized neurons in two and three dimensions. J Neurosci Methods 56:133-144.
– reference: Anderson JS, Ferguson MA, Lopez-Larson M, Yurgelun-Todd D (2010): Topographic maps of multisensory attention. Proc Natl Acad Sci USA 107:20110-20114.
– reference: El Boustani S, Marre O, Behuret S, Baudot P, Yger P, Bal T, Destexhe A, Fregnac Y (2009): Network-state modulation of power-law frequency-scaling in visual cortical neurons. PLoS Comput Biol 5:e1000519.
– reference: Power JD, Fair DA, Schlaggar BL, Petersen SE (2010): The development of human functional brain networks. Neuron 67:735-748.
– reference: Zuo XN, Di Martino A, Kelly C, Shehzad ZE, Gee DG, Klein DF, Castellanos FX, Biswal BB, Milham MP (2010): The oscillating brain: Complex and reliable. Neuroimage 49:1432-1445.
– reference: Barnes A, Bullmore ET, Suckling J (2009): Endogenous human brain dynamics recover slowly following cognitive effort. PloS One 4:e6626.
– reference: Poil SS, van Ooyen A, Linkenkaer-Hansen K (2008): Avalanche dynamics of human brain oscillations: Relation to critical branching processes and temporal correlations. Hum Brain Mapp 29:770-777.
– reference: Palva JM, Palva S (2012): Infra-slow fluctuations in electrophysiological recordings, blood-oxygenation-level-dependent signals, and psychophysical time series. Neuroimage 62:2201-2211.
– volume: 52
  start-page: 290
  year: 2010
  end-page: 301
  article-title: Development of functional and structural connectivity within the default mode network in young children
  publication-title: Neuroimage
– volume: 107
  start-page: 20110
  year: 2010
  end-page: 20114
  article-title: Topographic maps of multisensory attention
  publication-title: Proc Natl Acad Sci USA
– volume: 1
  start-page: 147
  year: 2011b
  end-page: 157
  article-title: Connectivity gradients between the default mode and attention control networks
  publication-title: Brain Connect
– volume: 24
  start-page: 5216
  year: 2004
  end-page: 5229
  article-title: Neuronal avalanches are diverse and precise activity patterns that are stable for many hours in cortical slice cultures
  publication-title: J Neurosci
– volume: 29
  start-page: 791
  year: 2008
  end-page: 801
  article-title: Monofractal and multifractal dynamics of low frequency endogenous brain oscillations in functional MRI
  publication-title: Hum Brain Mapp
– volume: 286
  start-page: 509
  year: 1999
  end-page: 512
  article-title: Emergence of scaling in random networks
  publication-title: Science
– volume: 8
  start-page: 700
  year: 2007
  end-page: 711
  article-title: Spontaneous fluctuations in brain activity observed with functional magnetic resonance imaging
  publication-title: Nat Rev Neurosci
– volume: 29
  start-page: 770
  year: 2008
  end-page: 777
  article-title: Avalanche dynamics of human brain oscillations: Relation to critical branching processes and temporal correlations
  publication-title: Hum Brain Mapp
– volume: 31
  start-page: 13786
  year: 2011
  end-page: 13795
  article-title: Scale‐free properties of the functional magnetic resonance imaging signal during rest and task
  publication-title: J Neurosci
– year: 1990
– volume: 22
  start-page: 1326
  year: 2001
  end-page: 1333
  article-title: Frequencies contributing to functional connectivity in the cerebral cortex in “resting‐state” data
  publication-title: AJNR Am J Neuroradiol
– volume: 29
  start-page: 83
  year: 2007
  end-page: 91
  article-title: Altered baseline brain activity in children with ADHD revealed by resting‐state functional MRI
  publication-title: Brain Dev
– volume: 104
  start-page: 13507
  year: 2007
  end-page: 13512
  article-title: Development of distinct control networks through segregation and integration
  publication-title: Proc Natl Acad Sci USA
– volume: 329
  start-page: 1358
  year: 2010
  end-page: 1361
  article-title: Prediction of individual brain maturity using fMRI
  publication-title: Science
– volume: 56
  start-page: 133
  year: 1995
  end-page: 144
  article-title: Determination of fractal dimension of physiologically characterized neurons in two and three dimensions
  publication-title: J Neurosci Methods
– volume: 12
  start-page: 375
  year: 2003
  end-page: 399
  article-title: Wavelets and statistical analysis of functional magnetic resonance images of the human brain
  publication-title: Stat Methods Med Res
– volume: 34
  start-page: 537
  year: 1995
  end-page: 541
  article-title: Functional connectivity in the motor cortex of resting human brain using echo‐planar MRI
  publication-title: Magn Reson Med
– volume: 49
  start-page: 1432
  year: 2010
  end-page: 1445
  article-title: The oscillating brain: Complex and reliable
  publication-title: Neuroimage
– volume: 44
  start-page: 893
  year: 2009
  end-page: 905
  article-title: The impact of global signal regression on resting state correlations: Are anti‐correlated networks introduced?
  publication-title: Neuroimage
– volume: 5
  start-page: e1000381
  year: 2009
  article-title: Functional brain networks develop from a “local to distributed” organization
  publication-title: PLoS Comput Biol
– volume: 1321
  start-page: 169
  year: 2010
  end-page: 179
  article-title: Alterations in regional homogeneity of resting‐state brain activity in autism spectrum disorders
  publication-title: Brain Res
– volume: 23
  start-page: S234
  issue: Suppl 1
  year: 2004
  end-page: S249
  article-title: Wavelets and functional magnetic resonance imaging of the human brain
  publication-title: Neuroimage
– volume: 20
  start-page: 1765
  year: 2003
  end-page: 1774
  article-title: Is the brain cortex a fractal?
  publication-title: Neuroimage
– volume: 24
  start-page: 771
  year: 1994
  end-page: 781
  article-title: Fractal analysis of the boundary between white matter and cerebral cortex in magnetic resonance images: A controlled study of schizophrenic and manic‐depressive patients
  publication-title: Psychol Med
– volume: 107
  start-page: 4734
  year: 2010
  end-page: 4739
  article-title: Toward discovery science of human brain function
  publication-title: Proc Natl Acad Sci USA
– volume: 20
  start-page: 362
  year: 2011
  end-page: 375
  article-title: Development of the brain's functional network architecture
  publication-title: Neuropsychol Rev
– volume: 5
  start-page: e1000519
  year: 2009
  article-title: Network‐state modulation of power‐law frequency‐scaling in visual cortical neurons
  publication-title: PLoS Comput Biol
– volume: 68
  start-page: 2417
  year: 1992
  end-page: 2420
  article-title: Deterministic 1/ noise in nonconserative models of self‐organized criticality
  publication-title: Phys Rev Lett
– volume: 59
  start-page: 2142
  year: 2012
  end-page: 2154
  article-title: Spurious but systematic correlations in functional connectivity MRI networks arise from subject motion
  publication-title: Neuroimage
– volume: 151
  start-page: 52
  year: 2006
  end-page: 61
  article-title: Emotional task‐dependent low‐frequency fluctuations and methylphenidate: Wavelet scaling analysis of 1/ ‐type fluctuations in fMRI of the cerebellar vermis
  publication-title: J Neurosci Methods
– volume: 25
  start-page: 141
  year: 2005
  end-page: 158
  article-title: Fractional Gaussian noise, functional MRI and Alzheimer's disease
  publication-title: Neuroimage
– volume: 47
  start-page: 1125
  year: 2009
  end-page: 1134
  article-title: Generic aspects of complexity in brain imaging data and other biological systems
  publication-title: Neuroimage
– volume: 7
  start-page: e1000157
  year: 2009
  article-title: Development of large‐scale functional brain networks in children
  publication-title: PLoS Biol
– volume: 4
  start-page: e6626
  year: 2009
  article-title: Endogenous human brain dynamics recover slowly following cognitive effort
  publication-title: PloS One
– volume: 4
  start-page: 1
  year: 2010
  end-page: 13
  article-title: Clinical applications of resting state functional connectivity
  publication-title: Front Syst Neurosci
– volume: 26
  start-page: 636
  year: 2011
  end-page: 643
  article-title: Complexity analysis of spontaneous brain activity: Effects of depression and antidepressant treatment
  publication-title: J Psychopharmacol
– volume: 32
  start-page: 919
  year: 2011a
  end-page: 934
  article-title: Network anticorrelations, global regression, and phase‐shifted soft tissue correction
  publication-title: Hum Brain Mapp
– volume: 62
  start-page: 2201
  year: 2012
  end-page: 2211
  article-title: Infra‐slow fluctuations in electrophysiological recordings, blood‐oxygenation‐level‐dependent signals, and psychophysical time series
  publication-title: Neuroimage
– volume: 105
  start-page: 4028
  year: 2008
  end-page: 4032
  article-title: The maturing architecture of the brain's default network
  publication-title: Proc Natl Acad Sci USA
– volume: 5
  start-page: e1000314
  year: 2009
  article-title: Broadband criticality of human brain network synchronization
  publication-title: PLoS Comput Biol
– volume: 68
  start-page: 1092
  year: 2010
  end-page: 1099
  article-title: A shift to randomness of brain oscillations in people with autism
  publication-title: Biol Psychiatry
– volume: 3
  start-page: 186
  year: 2012
  article-title: Scale‐free and multifractal time dynamics of fmri signals during rest and task
  publication-title: Front Physiol
– volume: 26
  start-page: 1078
  year: 2005
  end-page: 1085
  article-title: Delayed rather than decreased BOLD response as a marker for early Alzheimer's disease
  publication-title: Neuroimage
– volume: 5
  start-page: 179
  year: 1997
  end-page: 197
  article-title: Empirical analyses of BOLD fMRI statistics. I. Spatially unsmoothed data collected under null‐hypothesis conditions
  publication-title: Neuroimage
– volume: 59
  start-page: 4022
  year: 2012
  end-page: 4031
  article-title: Dynamical stability of intrinsic connectivity networks
  publication-title: Neuroimage
– volume: 6
  start-page: 62
  year: 2012
  article-title: The ADHD‐200 Consortium: A model to advance the translational potential of neuroimaging in clinical neuroscience
  publication-title: Front Syst Neurosci
– volume: 14
  start-page: 738
  year: 2011
  end-page: 751
  article-title: Strength of default mode resting‐state connectivity relates to white matter integrity in children
  publication-title: Dev Sci
– volume: 22
  start-page: 394
  year: 2004
  end-page: 400
  article-title: Regional homogeneity approach to fMRI data analysis
  publication-title: Neuroimage
– volume: 23
  start-page: 11167
  year: 2003
  end-page: 11177
  article-title: Neuronal avalanches in neocortical circuits
  publication-title: J Neurosci
– volume: 1
  start-page: 187
  year: 2011
  end-page: 197
  article-title: Local brain connectivity and associations with gender and age
  publication-title: Dev Cogn Neurosci
– volume: 29
  start-page: 1722
  year: 2008
  end-page: 1729
  article-title: Origin of synchronized low‐frequency blood oxygen level‐dependent fluctuations in the primary visual cortex
  publication-title: AJNR Am J Neuroradiol
– volume: 35
  start-page: 488
  year: 2007
  end-page: 500
  article-title: Regional coherence changes in the early stages of Alzheimer's disease: A combined structural and resting‐state functional MRI study
  publication-title: Neuroimage
– volume: 134
  start-page: 3742
  year: 2011c
  end-page: 3754
  article-title: Functional connectivity magnetic resonance imaging classification of autism
  publication-title: Brain
– volume: 4
  start-page: 21
  year: 2010
  article-title: Typical and atypical development of functional human brain networks: Insights from resting‐state FMRI
  publication-title: Front Syst Neurosci
– volume: 67
  start-page: 735
  year: 2010
  end-page: 748
  article-title: The development of human functional brain networks
  publication-title: Neuron
– volume: 30
  start-page: 403
  year: 2009
  end-page: 416
  article-title: Small‐world properties of nonlinear brain activity in schizophrenia
  publication-title: Hum Brain Mapp
– volume: 14
  start-page: 1370
  year: 2001
  end-page: 1386
  article-title: Temporal autocorrelation in univariate linear modeling of FMRI data
  publication-title: Neuroimage
– ident: e_1_2_6_31_1
  doi: 10.1111/j.1467-7687.2010.01020.x
– ident: e_1_2_6_40_1
  doi: 10.1177/0269881111408966
– ident: e_1_2_6_18_1
  doi: 10.1016/j.neuroimage.2004.07.012
– ident: e_1_2_6_9_1
  doi: 10.1126/science.286.5439.509
– ident: e_1_2_6_51_1
  doi: 10.3389/fnsys.2010.00021
– ident: e_1_2_6_26_1
  doi: 10.1371/journal.pcbi.1000381
– ident: e_1_2_6_6_1
  doi: 10.1073/pnas.1011616107
– ident: e_1_2_6_20_1
  doi: 10.1103/PhysRevLett.68.2417
– ident: e_1_2_6_50_1
  doi: 10.1016/j.neuroimage.2010.04.009
– ident: e_1_2_6_47_1
  doi: 10.1016/j.neuroimage.2005.03.022
– ident: e_1_2_6_48_1
  doi: 10.1002/hbm.20517
– ident: e_1_2_6_56_1
  doi: 10.1016/j.neuroimage.2003.12.030
– ident: e_1_2_6_42_1
  doi: 10.1016/j.brainres.2009.12.081
– ident: e_1_2_6_46_1
  doi: 10.1016/j.neuron.2010.08.017
– ident: e_1_2_6_10_1
  doi: 10.1371/journal.pone.0006626
– ident: e_1_2_6_19_1
  doi: 10.1016/0165-0270(94)00115-W
– ident: e_1_2_6_14_1
  doi: 10.1073/pnas.0911855107
– volume: 6
  start-page: 62
  year: 2012
  ident: e_1_2_6_2_1
  article-title: The ADHD‐200 Consortium: A model to advance the translational potential of neuroimaging in clinical neuroscience
  publication-title: Front Syst Neurosci
– ident: e_1_2_6_21_1
  doi: 10.3389/fphys.2012.00186
– ident: e_1_2_6_43_1
  doi: 10.1016/j.neuroimage.2012.02.060
– ident: e_1_2_6_35_1
  doi: 10.1016/S1053-8119(03)00380-X
– ident: e_1_2_6_37_1
  doi: 10.1016/j.biopsych.2010.06.027
– ident: e_1_2_6_33_1
  doi: 10.1016/j.neuroimage.2006.11.042
– ident: e_1_2_6_16_1
  doi: 10.1017/S0033291700027926
– ident: e_1_2_6_39_1
  doi: 10.1016/j.neuroimage.2004.10.044
– ident: e_1_2_6_45_1
  doi: 10.1016/j.neuroimage.2011.10.018
– ident: e_1_2_6_23_1
  doi: 10.1126/science.1194144
– ident: e_1_2_6_57_1
  doi: 10.1006/nimg.1997.0263
– ident: e_1_2_6_54_1
  doi: 10.1006/nimg.2001.0931
– ident: e_1_2_6_17_1
  doi: 10.1191/0962280203sm339ra
– ident: e_1_2_6_44_1
  doi: 10.1002/hbm.20590
– ident: e_1_2_6_53_1
  doi: 10.1002/hbm.20593
– ident: e_1_2_6_34_1
– ident: e_1_2_6_11_1
  doi: 10.1523/JNEUROSCI.23-35-11167.2003
– ident: e_1_2_6_38_1
  doi: 10.1016/j.dcn.2010.10.001
– ident: e_1_2_6_13_1
  doi: 10.1002/mrm.1910340409
– ident: e_1_2_6_52_1
  doi: 10.1007/s11065-010-9145-7
– ident: e_1_2_6_7_1
  doi: 10.1089/brain.2011.0007
– volume: 4
  start-page: 1
  year: 2010
  ident: e_1_2_6_29_1
  article-title: Clinical applications of resting state functional connectivity
  publication-title: Front Syst Neurosci
– ident: e_1_2_6_24_1
  doi: 10.1371/journal.pcbi.1000519
– ident: e_1_2_6_36_1
  doi: 10.1371/journal.pcbi.1000314
– ident: e_1_2_6_32_1
  doi: 10.1523/JNEUROSCI.2111-11.2011
– ident: e_1_2_6_25_1
  doi: 10.1073/pnas.0800376105
– ident: e_1_2_6_41_1
  doi: 10.1016/j.neuroimage.2008.09.036
– ident: e_1_2_6_55_1
  doi: 10.1016/j.braindev.2006.07.002
– ident: e_1_2_6_27_1
  doi: 10.1073/pnas.0705843104
– ident: e_1_2_6_58_1
  doi: 10.1016/j.neuroimage.2009.09.037
– ident: e_1_2_6_3_1
  doi: 10.1016/j.jneumeth.2005.09.020
– ident: e_1_2_6_30_1
  doi: 10.1038/nrn2201
– ident: e_1_2_6_15_1
  doi: 10.1016/j.neuroimage.2009.05.032
– ident: e_1_2_6_4_1
  doi: 10.3174/ajnr.A1220
– ident: e_1_2_6_5_1
  doi: 10.1002/hbm.21079
– volume: 22
  start-page: 1326
  year: 2001
  ident: e_1_2_6_22_1
  article-title: Frequencies contributing to functional connectivity in the cerebral cortex in “resting‐state” data
  publication-title: AJNR Am J Neuroradiol
– ident: e_1_2_6_12_1
  doi: 10.1523/JNEUROSCI.0540-04.2004
– ident: e_1_2_6_28_1
  doi: 10.1016/j.neuroimage.2011.10.062
– ident: e_1_2_6_49_1
  doi: 10.1371/journal.pbio.1000157
– ident: e_1_2_6_8_1
  doi: 10.1093/brain/awr263
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Snippet Very low‐frequency blood oxygen level‐dependent (BOLD) fluctuations have emerged as a valuable tool for describing brain anatomy, neuropathology, and...
Very low-frequency blood oxygen level-dependent (BOLD) fluctuations have emerged as a valuable tool for describing brain anatomy, neuropathology, and...
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SubjectTerms 1/f
Adolescent
Adult
avalanche dynamics
Biological and medical sciences
Brain - anatomy & histology
Brain - growth & development
Brain - physiology
brain development
Brain Mapping - methods
Cardiovascular system
Cerebrovascular Circulation - physiology
chaos theory
Child
complexity
Databases, Factual
fcMRI
Female
fMRI
Head
Humans
Investigative techniques, diagnostic techniques (general aspects)
long memory
Magnetic Resonance Imaging - methods
Male
Medical sciences
Motion
Nerve Fibers, Unmyelinated - physiology
Nervous system
Neural Pathways - anatomy & histology
Neural Pathways - growth & development
Neural Pathways - physiology
Oxygen - blood
power law
Radiodiagnosis. Nmr imagery. Nmr spectrometry
regional homogeneity
resting state fMRI
Signal Processing, Computer-Assisted
Young Adult
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Title Complexity of low-frequency blood oxygen level-dependent fluctuations covaries with local connectivity
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