메뉴 건너뛰기




Volumn 25, Issue 7, 2015, Pages 1987-1999

A Brain-Wide Study of Age-Related Changes in Functional Connectivity

Author keywords

aging; dedifferentiation; fMRI; functional connectivity; graph theory

Indexed keywords

ADULT; AGED; AGING; ARTICLE; CLINICAL ARTICLE; COGNITION; DEFAULT MODE NETWORK; FEMALE; FUNCTIONAL MAGNETIC RESONANCE IMAGING; GROUPS BY AGE; HUMAN; INFORMATION PROCESSING; MALE; MIDDLE AGED; NERVE CELL NETWORK; NUCLEAR MAGNETIC RESONANCE SCANNER; PRIORITY JOURNAL; SOMATOSENSORY CORTEX; VISUAL CORTEX; ADOLESCENT; BRAIN; BRAIN MAPPING; NERVE TRACT; NUCLEAR MAGNETIC RESONANCE IMAGING; PATHOLOGY; PHYSIOLOGY; REST; YOUNG ADULT;

EID: 84936805647     PISSN: 10473211     EISSN: 14602199     Source Type: Journal    
DOI: 10.1093/cercor/bhu012     Document Type: Article
Times cited : (563)

References (86)
  • 1
    • 33847283332 scopus 로고    scopus 로고
    • Efficiency and cost of economical brain functional networks
    • Achard S, Bullmore E. 2007. Efficiency and cost of economical brain functional networks. PLoS Comput Biol. 3(2):0174-0183.
    • (2007) PLoS Comput Biol. , vol.3 , Issue.2 , pp. 0174-0183
    • Achard, S.1    Bullmore, E.2
  • 3
    • 34548832230 scopus 로고    scopus 로고
    • A fast diffeomorphic image registration algorithm
    • Ashburner J. 2007. A fast diffeomorphic image registration algorithm. Neuroimage. 38(1):95-113.
    • (2007) Neuro Image , vol.38 , Issue.1 , pp. 95-113
    • Ashburner, J.1
  • 4
    • 0031005504 scopus 로고    scopus 로고
    • Emergence of a powerful connection between sensory and cognitive functions across the adult life span: A new window to the study of cognitive aging?
    • Baltes PB, Lindenberger U. 1997. Emergence of a powerful connection between sensory and cognitive functions across the adult life span: a new window to the study of cognitive aging? Psychol Aging. 12 (1):12-21.
    • (1997) Psychol Aging. , vol.12 , Issue.1 , pp. 12-21
    • Baltes, P.B.1    Lindenberger, U.2
  • 6
    • 0001677717 scopus 로고
    • Controlling the false discovery rate: A practical and powerful approach to multiple testing
    • Benjamini Y, Hochberg Y. 1995. Controlling the false discovery rate: a practical and powerful approach to multiple testing. J R Stat Soc Ser B (Methodol). 57(1):289-300.
    • (1995) J R Stat Soc ser B (Methodol) , vol.57 , Issue.1 , pp. 289-300
    • Benjamini, Y.1    Hochberg, Y.2
  • 7
    • 33746852686 scopus 로고    scopus 로고
    • Separating respiratory-variation-related fluctuations fromneuronal-activity-related fluctuations in fMRI
    • Birn RM, Diamond JB, Smith MA, Bandettini PA. 2006. Separating respiratory-variation-related fluctuations fromneuronal-activity-related fluctuations in fMRI. Neuroimage. 31(4):1536-1548.
    • (2006) Neuro Image , vol.31 , Issue.4 , pp. 1536-1548
    • Birn, R.M.1    Diamond, J.B.2    Smith, M.A.3    Bandettini, P.A.4
  • 8
    • 0029166541 scopus 로고
    • Functional connectivity in the motor cortex of resting human brain using echo-planar MRI
    • 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(4):537-541.
    • (1995) Magn Reson Med. , vol.34 , Issue.4 , pp. 537-541
    • Biswal, B.1    Yetkin, F.Z.2    Haughton, V.M.3    Hyde, J.S.4
  • 10
    • 41949121294 scopus 로고    scopus 로고
    • The brain's default network: Anatomy, function, and relevance to disease
    • Buckner RL, Andrews-Hanna JR, Schacter DL. 2008. The brain's default network: anatomy, function, and relevance to disease. Ann NY Acad Sci. 1124:1-38.
    • (2008) Ann NY Acad Sci. , vol.1124 , pp. 1-38
    • Buckner, R.L.1    Andrews-Hanna, J.R.2    Schacter, D.L.3
  • 11
    • 84859948255 scopus 로고    scopus 로고
    • The economy of brain network organization
    • Bullmore E, Sporns O. 2012. The economy of brain network organization. Nat Rev Neurosci. 13(5):336-349.
    • (2012) Nat Rev Neurosci. , vol.13 , Issue.5 , pp. 336-349
    • Bullmore, E.1    Sporns, O.2
  • 12
    • 1642385112 scopus 로고    scopus 로고
    • Interneuron diversity series: Circuit complexity and axon wiring economy of cortical interneurons
    • Buzsáki G, Geisler C, Henze DA, Wang XJ. 2004. Interneuron diversity series: circuit complexity and axon wiring economy of cortical interneurons. Trends Neurosci. 27(4):186-193.
    • (2004) Trends Neurosci. , vol.27 , Issue.4 , pp. 186-193
    • Buzsáki, G.1    Geisler, C.2    Henze, D.A.3    Wang, X.J.4
  • 13
    • 79955045002 scopus 로고    scopus 로고
    • Age differences in neural distinctiveness revealed by multi-voxel pattern analysis
    • Carp J, Park J, Polk TA, Park DC. 2011. Age differences in neural distinctiveness revealed by multi-voxel pattern analysis. Neuroimage. 56(2):736-743.
    • (2011) Neuro Image , vol.56 , Issue.2 , pp. 736-743
    • Carp, J.1    Park, J.2    Polk, T.A.3    Park, D.C.4
  • 14
    • 33645297713 scopus 로고    scopus 로고
    • Wiring optimization can relate neuronal structure and function
    • Chen BL, Hall DH, Chklovskii DB. 2006. Wiring optimization can relate neuronal structure and function. Proc Natl Acad Sci USA. 103 (12):4723-4728.
    • (2006) Proc Natl Acad Sci USA. , vol.103 , Issue.12 , pp. 4723-4728
    • Chen, B.L.1    Hall, D.H.2    Chklovskii, D.B.3
  • 16
    • 80053623646 scopus 로고    scopus 로고
    • Age-related dedifferentiation of learning systems: An fMRI study of implicit and explicit learning
    • Dennis NA, Cabeza R. 2011. Age-related dedifferentiation of learning systems: an fMRI study of implicit and explicit learning. Neurobiol Aging. 32(12):2318. e17-2318. e30.
    • (2011) Neurobiol Aging. , vol.32 , Issue.12 , pp. 2318e17-2318e30
    • Dennis, N.A.1    Cabeza, R.2
  • 17
    • 0032797084 scopus 로고    scopus 로고
    • The effect of normal aging on the coupling of neural activity to the bold hemodynamic response
    • D'Esposito M, Zarahn E, Aguirre GK, Rypma B. 1999. The effect of normal aging on the coupling of neural activity to the bold hemodynamic response. Neuroimage. 10(1):6-14.
    • (1999) Neuro Image , vol.10 , Issue.1 , pp. 6-14
    • D'esposito, M.1    Zarahn, E.2    Aguirre, G.K.3    Rypma, B.4
  • 20
    • 0016823810 scopus 로고
    • Mini mental state' A practical method for grading the cognitive state of patients for the clinician
    • Folstein MF, Folstein SE, McHugh PR. 1975. 'Mini mental state'. A practical method for grading the cognitive state of patients for the clinician. J Psychiatr Res. 12(3):189-198.
    • (1975) J Psychiatr Res. , vol.12 , Issue.3 , pp. 189-198
    • Folstein, M.F.1    Folstein, S.E.2    McHugh, P.R.3
  • 22
    • 66349133709 scopus 로고    scopus 로고
    • The global signal and observed anticorrelated resting state brain networks
    • Fox MD, Zhang D, Snyder AZ, Raichle ME. 2009. The global signal and observed anticorrelated resting state brain networks. J Neurophysiol. 101(6):3270-3283.
    • (2009) J Neurophysiol. , vol.101 , Issue.6 , pp. 3270-3283
    • Fox, M.D.1    Zhang, D.2    Snyder, A.Z.3    Raichle, M.E.4
  • 23
    • 84889648443 scopus 로고    scopus 로고
    • Reduced specificity of functional connectivity in the aging brain during task performance
    • Geerligs L, Maurits NM, Renken RJ, Lorist MM. 2012. Reduced specificity of functional connectivity in the aging brain during task performance. Hum Brain Mapp. 35(1):319-330.
    • (2012) Hum Brain Mapp. , vol.35 , Issue.1 , pp. 319-330
    • Geerligs, L.1    Maurits, N.M.2    Renken, R.J.3    Lorist, M.M.4
  • 24
    • 0037062448 scopus 로고    scopus 로고
    • Community structure in social and biological networks
    • Girvan M, Newman MEJ. 2002. Community structure in social and biological networks. Proc Natl Acad Sci USA. 99(12):7821-7826.
    • (2002) Proc Natl Acad Sci USA. , vol.99 , Issue.12 , pp. 7821-7826
    • Girvan, M.1    Newman, M.E.J.2
  • 26
    • 84862635215 scopus 로고    scopus 로고
    • The cognitive neuroscience of ageing
    • Grady C. 2012. The cognitive neuroscience of ageing. Nat Rev Neurosci. 13(7):491-505.
    • (2012) Nat Rev Neurosci. , vol.13 , Issue.7 , pp. 491-505
    • Grady, C.1
  • 28
    • 0037422586 scopus 로고    scopus 로고
    • Functional connectivity in the resting brain: A network analysis of the default mode hypothesis
    • Greicius MD, Krasnow B, Reiss AL, Menon V. 2003. Functional connectivity in the resting brain: a network analysis of the default mode hypothesis. Proc Natl Acad Sci USA. 100(1):253-258.
    • (2003) Proc Natl Acad Sci USA. , vol.100 , Issue.1 , pp. 253-258
    • Greicius, M.D.1    Krasnow, B.2    Reiss, A.L.3    Menon, V.4
  • 29
    • 14644420038 scopus 로고    scopus 로고
    • Cartography of complex networks: Modules and universal roles
    • Guimerà R, Amaral LAN. 2005. Cartography of complex networks: modules and universal roles. J Stat Mech Theory Exp. P02001 (2):1-13.
    • (2005) J Stat Mech Theory Exp. P02001 , Issue.2 , pp. 1-13
    • Guimerà, R.1    Amaral, L.A.N.2
  • 31
    • 77953026905 scopus 로고    scopus 로고
    • Functional connectivity between task-positive and task-negative brain areas and its relation to working memory performance
    • Hampson M, Driesen N, Roth JK, Gore JC, Constable RT. 2010. Functional connectivity between task-positive and task-negative brain areas and its relation to working memory performance. Magn Reson Imaging. 28(8):1051-1057.
    • (2010) Magn Reson Imaging. , vol.28 , Issue.8 , pp. 1051-1057
    • Hampson, M.1    Driesen, N.2    Roth, J.K.3    Gore, J.C.4    Constable, R.T.5
  • 33
    • 36048936678 scopus 로고    scopus 로고
    • Competition between functional brain networks mediates behavioral variability
    • Kelly AMC, Uddin LQ, Biswal BB, Castellanos FX, Milham MP. 2008. Competition between functional brain networks mediates behavioral variability. Neuroimage. 39(1):527-537.
    • (2008) Neuro Image , vol.39 , Issue.1 , pp. 527-537
    • Kelly, A.M.C.1    Uddin, L.Q.2    Biswal, B.B.3    Castellanos, F.X.4    Milham, M.P.5
  • 34
    • 79958041279 scopus 로고    scopus 로고
    • Cognitive effort drives workspace configuration of human brain functional networks
    • Kitzbichler MG, Henson RNA, Smith ML, Nathan PJ, Bullmore ET. 2011. Cognitive effort drives workspace configuration of human brain functional networks. J. Neurosci. 31(22):8259-8270.
    • (2011) J. Neurosci. , vol.31 , Issue.22 , pp. 8259-8270
    • Kitzbichler, M.G.1    Henson, R.N.A.2    Smith, M.L.3    Nathan, P.J.4    Bullmore, E.T.5
  • 37
    • 35348957264 scopus 로고    scopus 로고
    • Efficient behavior of small-world networks
    • Latora V, Marchiori M. 2001. Efficient behavior of small-world networks. Phys Rev Lett. 87(19):198701/1-198701/4.
    • (2001) Phys Rev Lett. , vol.87 , Issue.19 , pp. 1987011-1987014
    • Latora, V.1    Marchiori, M.2
  • 38
    • 33846088867 scopus 로고    scopus 로고
    • 3D pattern of brain abnormalities in fragile X syndrome visualized using tensor-based morphometry
    • Lee AD, LeowAD, Lu A, Reiss AL, Hall S, Chiang M, Toga AW, Thompson PM. 2007. 3D pattern of brain abnormalities in fragile X syndrome visualized using tensor-based morphometry. Neuroimage. 34(3):924-938.
    • (2007) Neuro Image , vol.34 , Issue.3 , pp. 924-938
    • Lee, A.D.1    Leow, A.D.2    Lu, A.3    Reiss, A.L.4    Hall, S.5    Chiang, M.6    Toga, A.W.7    Thompson, P.M.8
  • 41
    • 72049104206 scopus 로고    scopus 로고
    • Cerebral white matter integrity and cognitive aging: Contributions from diffusion tensor imaging
    • Madden DJ, Bennett IJ, Song AW. 2009. Cerebral white matter integrity and cognitive aging: contributions from diffusion tensor imaging. Neuropsychol Rev. 19(4):415-435.
    • (2009) Neuropsychol Rev. , vol.19 , Issue.4 , pp. 415-435
    • Madden, D.J.1    Bennett, I.J.2    Song, A.W.3
  • 43
    • 84879751998 scopus 로고    scopus 로고
    • BOLD fMRI in the white matter as a marker of aging and small vessel disease
    • Makedonov I, Black SE, MacIntosh BJ. 2013. BOLD fMRI in the white matter as a marker of aging and small vessel disease. PLoS One. 8 (7):1-9.
    • (2013) PLoS ONE , vol.8 , pp. 1-9
    • Makedonov, I.1    Black, S.E.2    Macintosh, B.J.3
  • 44
    • 0037012880 scopus 로고    scopus 로고
    • Specificity and stability in topology of protein networks
    • Maslov S, Sneppen K. 2002. Specificity and stability in topology of protein networks. Science. 296(5569):910-913.
    • (2002) Science , vol.296 , Issue.5569 , pp. 910-913
    • Maslov, S.1    Sneppen, K.2
  • 45
    • 57649177558 scopus 로고    scopus 로고
    • Age-related changes in modular organization of human brain functional networks
    • Meunier D, Achard S, Morcom A, Bullmore E. 2009. Age-related changes in modular organization of human brain functional networks. Neuroimage. 44(3):715-723.
    • (2009) Neuro Image , vol.44 , Issue.3 , pp. 715-723
    • Meunier, D.1    Achard, S.2    Morcom, A.3    Bullmore, E.4
  • 46
    • 79955471193 scopus 로고    scopus 로고
    • Modular and hierarchically modular organization of brain networks
    • Meunier D, Lambiotte R, Bullmore ET. 2010. Modular and hierarchically modular organization of brain networks. Front Neurosci. 4:200.
    • (2010) Front Neurosci. , vol.4 , pp. 200
    • Meunier, D.1    Lambiotte, R.2    Bullmore, E.T.3
  • 48
    • 35148861179 scopus 로고    scopus 로고
    • Age effects on the neural correlates of episodic retrieval: Increased cortical recruitment with matched performance
    • Morcom AM, Li J, Rugg MD. 2007. Age effects on the neural correlates of episodic retrieval: increased cortical recruitment with matched performance. Cereb Cortex. 17(11):2491-2506.
    • (2007) Cereb Cortex , vol.17 , Issue.11 , pp. 2491-2506
    • Morcom, A.M.1    Li, J.2    Rugg, M.D.3
  • 49
    • 57649158932 scopus 로고    scopus 로고
    • The impact of global signal regression on resting state correlations: Are anti-correlated networks introduced?
    • 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(3):893-905.
    • (2009) Neuro Image , vol.44 , Issue.3 , pp. 893-905
    • Murphy, K.1    Birn, R.M.2    Handwerker, D.A.3    Jones, T.B.4    Bandettini, P.A.5
  • 50
    • 42749100809 scopus 로고    scopus 로고
    • Fast algorithm for detecting community structure in networks
    • Newman MEJ. 2004. Fast algorithm for detecting community structure in networks. Phys Rev E Stat Nonlin Soft Matter Phys. 69(62):066133-1-066133-5.
    • (2004) Phys Rev e Stat Nonlin Soft Matter Phys. , vol.69 , Issue.62 , pp. 0661331-0661335
    • Newman, M.E.J.1
  • 52
    • 60549111992 scopus 로고    scopus 로고
    • The adaptive brain: Aging and neurocognitive scaffolding
    • Park DC, Reuter-Lorenz P. 2009. The adaptive brain: aging and neurocognitive scaffolding. Annu Rev Psychol. 60:173-196.
    • (2009) Annu Rev Psychol. , vol.60 , pp. 173-196
    • Park, D.C.1    Reuter-Lorenz, P.2
  • 53
  • 55
    • 84855455705 scopus 로고    scopus 로고
    • Spurious but systematic correlations in functional connectivity MRI networks arise from subjectmotion
    • Power JD, Barnes KA, Snyder AZ, Schlaggar BL, Petersen SE. 2012. Spurious but systematic correlations in functional connectivity MRI networks arise from subjectmotion. Neuroimage. 59(3):2142-2154.
    • (2012) Neuro Image , vol.59 , Issue.3 , pp. 2142-2154
    • Power, J.D.1    Barnes, K.A.2    Snyder, A.Z.3    Schlaggar, B.L.4    Petersen, S.E.5
  • 59
    • 0000119553 scopus 로고
    • Validity of the trail making test as an indicator of organic brain damage
    • Reitan RM. 1958. Validity of the trail making test as an indicator of organic brain damage. Percept Mot Skills. 8:271-276.
    • (1958) Percept Mot Skills. , vol.8 , pp. 271-276
    • Reitan, R.M.1
  • 60
    • 0037996766 scopus 로고    scopus 로고
    • Longitudinal magnetic resonance imaging studies of older adults: A shrinking brain
    • Resnick SM, Pham DL, Kraut MA, Zonderman AB, Davatzikos C. 2003. Longitudinal magnetic resonance imaging studies of older adults: A shrinking brain. J Neurosci. 23(8):3295-3301.
    • (2003) J Neurosci. , vol.23 , Issue.8 , pp. 3295-3301
    • Resnick, S.M.1    Pham, D.L.2    Kraut, M.A.3    Zonderman, A.B.4    Davatzikos, C.5
  • 61
    • 80053644399 scopus 로고    scopus 로고
    • Caudate dopamine D1 receptor density is associated with individual differences in frontoparietal connectivity during working memory
    • Rieckmann A, Karlsson S, Fischer H, Bäckman L. 2011. Caudate dopamine D1 receptor density is associated with individual differences in frontoparietal connectivity during working memory. J Neurosci. 31(40):14284-14290.
    • (2011) J Neurosci. , vol.31 , Issue.40 , pp. 14284-14290
    • Rieckmann, A.1    Karlsson, S.2    Fischer, H.3    Bäckman, L.4
  • 62
    • 77954385460 scopus 로고    scopus 로고
    • Complex network measures of brain connectivity: Uses and interpretations
    • Rubinov M, Sporns O. 2010. Complex network measures of brain connectivity: uses and interpretations. Neuroimage. 52(3):1059-1069.
    • (2010) Neuro Image , vol.52 , Issue.3 , pp. 1059-1069
    • Rubinov, M.1    Sporns, O.2
  • 63
    • 79957450857 scopus 로고    scopus 로고
    • Weight-conserving characterization of complex functional brain networks
    • Rubinov M, Sporns O. 2011. Weight-conserving characterization of complex functional brain networks. Neuroimage. 56(4):2068-2079.
    • (2011) Neuro Image , vol.56 , Issue.4 , pp. 2068-2079
    • Rubinov, M.1    Sporns, O.2
  • 64
    • 33847044317 scopus 로고    scopus 로고
    • Age-related differences in activation-performance relations in delayed-response tasks: A multiple component analysis
    • Rypma B, Eldreth DA, Rebbechi D. 2007. Age-related differences in activation-performance relations in delayed-response tasks: a multiple component analysis. Cortex. 43(1):65-76.
    • (2007) Cortex. , vol.43 , Issue.1 , pp. 65-76
    • Rypma, B.1    Eldreth, D.A.2    Rebbechi, D.3
  • 68
    • 84940644968 scopus 로고
    • A mathematical theory of communication
    • Shannon CE. 1948. A mathematical theory of communication. Bell Syst Technical J. 27(3):379-423.
    • (1948) Bell Syst Technical J. , vol.27 , Issue.3 , pp. 379-423
    • Shannon, C.E.1
  • 71
    • 84867314748 scopus 로고    scopus 로고
    • Default network modulation and large-scale network interactivity in healthy young and old adults
    • Spreng RN, Schacter DL. 2011. Default network modulation and large-scale network interactivity in healthy young and old adults. Cereb Cortex. 22(11):2610-2621.
    • (2011) Cereb Cortex , vol.22 , Issue.11 , pp. 2610-2621
    • Spreng, R.N.1    Schacter, D.L.2
  • 72
    • 77955303906 scopus 로고    scopus 로고
    • Default network activity, coupled with the frontoparietal control network, supports goal-directed cognition
    • Spreng RN, Stevens WD, Chamberlain JP, Gilmore AW, Schacter DL. 2010. Default network activity, coupled with the frontoparietal control network, supports goal-directed cognition. Neuroimage. 53(1):303-317.
    • (2010) Neuro Image , vol.53 , Issue.1 , pp. 303-317
    • Spreng, R.N.1    Stevens, W.D.2    Chamberlain, J.P.3    Gilmore, A.W.4    Schacter, D.L.5
  • 73
    • 58149391975 scopus 로고    scopus 로고
    • A neural mechanism underlying memory failure in older adults
    • Stevens WD, Hasher L, Chiew KS, Grady CL. 2008. A neural mechanism underlying memory failure in older adults. J Neurosci. 28 (48):12820-12824.
    • (2008) J Neurosci. , vol.28 , Issue.48 , pp. 12820-12824
    • Stevens, W.D.1    Hasher, L.2    Chiew, K.S.3    Grady, C.L.4
  • 74
    • 0041965980 scopus 로고    scopus 로고
    • Cluster ensembles - A knowledge reuse framework for combining multiple partitions
    • Strehl A, Ghosh J. 2003. Cluster ensembles-a knowledge reuse framework for combining multiple partitions. JMach Learn Res. 3(3):583-617.
    • (2003) JMach Learn Res. , vol.3 , Issue.3 , pp. 583-617
    • Strehl, A.1    Ghosh, J.2
  • 75
    • 57049145197 scopus 로고
    • Studies of interference in serial verbal reactions
    • Stroop JR. 1935. Studies of interference in serial verbal reactions. J Exp Psychol. 18(6):643-662.
    • (1935) J Exp Psychol. , vol.18 , Issue.6 , pp. 643-662
    • Stroop, J.R.1
  • 76
    • 77249099302 scopus 로고    scopus 로고
    • Improved community structure detection using a modified fine-tuning strategy
    • Sun Y, Danila B, Josić K, Bassler KE. 2009. Improved community structure detection using a modified fine-tuning strategy. Europhys Lett. 86(2):28004-p1-28004-p6.
    • (2009) Europhys Lett. , vol.86 , Issue.2 , pp. 28004p1-28004p6
    • Sun, Y.1    Danila, B.2    Josić, K.3    Bassler, K.E.4
  • 77
    • 84860207472 scopus 로고    scopus 로고
    • Aging and functional brain networks
    • Tomasi D, Volkow ND. 2012. Aging and functional brain networks. Mol Psychiatry. 17(5):549-558.
    • (2012) Mol Psychiatry. , vol.17 , Issue.5 , pp. 549-558
    • Tomasi, D.1    Volkow, N.D.2
  • 78
    • 1542328836 scopus 로고    scopus 로고
    • Trail making test A and B: Normative data stratified by age and education
    • Tombaugh TN. 2004. Trail making test A and B: normative data stratified by age and education. Arch Clin Neuropsychol. 19(2):203-214.
    • (2004) Arch Clin Neuropsychol. , vol.19 , Issue.2 , pp. 203-214
    • Tombaugh, T.N.1
  • 79
    • 59949083745 scopus 로고    scopus 로고
    • Functional connectivity of default mode network components: Correlation, anticorrelation, and causality
    • Uddin LQ, Kelly AMC, Biswal BB, Castellanos FX, Milham MP. 2009. Functional connectivity of default mode network components: correlation, anticorrelation, and causality. Hum Brain Mapp. 30 (2):625-637.
    • (2009) Hum Brain Mapp. , vol.30 , Issue.2 , pp. 625-637
    • Uddin, L.Q.1    Kelly, A.M.C.2    Biswal, B.B.3    Castellanos, F.X.4    Milham, M.P.5
  • 80
    • 3042776628 scopus 로고    scopus 로고
    • Functional connectivity as revealed by spatial independent component analysis of fMRI measurements during rest
    • van de Ven VG, Formisano E, Prvulovic D, Roeder CH, Linden DEJ. 2004. Functional connectivity as revealed by spatial independent component analysis of fMRI measurements during rest. Hum Brain Mapp. 22(3):165-178.
    • (2004) Hum Brain Mapp. , vol.22 , Issue.3 , pp. 165-178
    • Van De Ven, V.G.1    Formisano, E.2    Prvulovic, D.3    Roeder, C.H.4    Linden, D.E.J.5
  • 82
    • 78149435102 scopus 로고    scopus 로고
    • Comparing brain networks of different size and connectivity density using graph theory
    • van Wijk BCM, Stam CJ, Daffertshofer A. 2010. Comparing brain networks of different size and connectivity density using graph theory. PLoS One. 5(10):e13701.
    • (2010) PLoS ONE , vol.5 , Issue.10 , pp. e13701
    • Van Wijk, B.C.M.1    Stam, C.J.2    Daffertshofer, A.3
  • 83
    • 57449106343 scopus 로고    scopus 로고
    • Evidence for a frontoparietal control system revealed by intrinsic functional connectivity
    • Vincent JL, Kahn I, Snyder AZ, Raichle ME, Buckner RL. 2008. Evidence for a frontoparietal control system revealed by intrinsic functional connectivity. J Neurophysiol. 100(6):3328-3342.
    • (2008) J Neurophysiol. , vol.100 , Issue.6 , pp. 3328-3342
    • Vincent, J.L.1    Kahn, I.2    Snyder, A.Z.3    Raichle, M.E.4    Buckner, R.L.5
  • 85
    • 67651033257 scopus 로고    scopus 로고
    • Correlations and anticorrelations in resting-state functional connectivity MRI: A quantitative comparison of preprocessing strategies
    • Weissenbacher A, Kasess C, Gerstl F, Lanzenberger R, Moser E, Windischberger C. 2009. Correlations and anticorrelations in resting-state functional connectivity MRI: A quantitative comparison of preprocessing strategies. Neuroimage. 47(4):1408-1416.
    • (2009) Neuroimage , vol.47 , Issue.4 , pp. 1408-1416
    • Weissenbacher, A.1    Kasess, C.2    Gerstl, F.3    Lanzenberger, R.4    Moser, E.5    Windischberger, C.6
  • 86
    • 0020527558 scopus 로고
    • The hospital anxiety and depression scale
    • Zigmond AS, Snaith RP. 1983. The hospital anxiety and depression scale. Acta Psychiatr Scand. 67(6):361-370.
    • (1983) Acta Psychiatr Scand. , vol.67 , Issue.6 , pp. 361-370
    • Zigmond, A.S.1    Snaith, R.P.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.