메뉴 건너뛰기




Volumn 10, Issue 12, 2014, Pages

A Network Convergence Zone in the Hippocampus

Author keywords

[No Author keywords available]

Indexed keywords

GRAPH THEORY; NETWORK TOPOLOGY;

EID: 84919609126     PISSN: 1553734X     EISSN: 15537358     Source Type: Journal    
DOI: 10.1371/journal.pcbi.1003982     Document Type: Article
Times cited : (85)

References (56)
  • 1
    • 0026847039 scopus 로고
    • Memory and the hippocampus: a synthesis from findings with rats, monkeys, and humans
    • Squire L, (1992) Memory and the hippocampus: a synthesis from findings with rats, monkeys, and humans. Psychol Rev 99: 195.
    • (1992) Psychol Rev , vol.99 , pp. 195
    • Squire, L.1
  • 2
    • 0003923850 scopus 로고    scopus 로고
    • The Oxford handbook of memory
    • Tulving E, Craik F (2000) The Oxford handbook of memory. Oxford University Press.
    • (2000)
    • Tulving, E.1    Craik, F.2
  • 3
    • 0036481756 scopus 로고    scopus 로고
    • What's new with the amnesic patient HM
    • Corkin S, (2002) What's new with the amnesic patient HM? Nat Rev Neurosci 3: 153–160.
    • (2002) Nat Rev Neurosci , vol.3 , pp. 153-160
    • Corkin, S.1
  • 4
    • 22644443506 scopus 로고    scopus 로고
    • Functional neuroanatomy of remote episodic, semantic and spatial memory: a unified account based on multiple trace theory
    • Moscovitch M, Rosenbaum R, Gilboa A, Addis D, Westmacott R, et al. (2005) Functional neuroanatomy of remote episodic, semantic and spatial memory: a unified account based on multiple trace theory. J Anat 207: 35–66.
    • (2005) J Anat , vol.207 , pp. 35-66
    • Moscovitch, M.1    Rosenbaum, R.2    Gilboa, A.3    Addis, D.4    Westmacott, R.5
  • 5
    • 0001116693 scopus 로고
    • The brain binds entities and events by multiregional activation from convergence zones
    • Damasio A, (1989) The brain binds entities and events by multiregional activation from convergence zones. Neural Comput 1: 123–132.
    • (1989) Neural Comput , vol.1 , pp. 123-132
    • Damasio, A.1
  • 6
    • 0031835226 scopus 로고    scopus 로고
    • From sensation to cognition
    • Mesulam M, (1998) From sensation to cognition. Brain 121: 1013–1052.
    • (1998) Brain , vol.121 , pp. 1013-1052
    • Mesulam, M.1
  • 8
    • 84863952016 scopus 로고    scopus 로고
    • High-cost, high-capacity backbone for global brain communication
    • van den Heuvel M, Kahn R, Goñi J, Sporns O, (2012) High-cost, high-capacity backbone for global brain communication. Proc Natl Acad Sci USA 109: 11372–11377.
    • (2012) Proc Natl Acad Sci USA , vol.109 , pp. 11372-11377
    • van den Heuvel, M.1    Kahn, R.2    Goñi, J.3    Sporns, O.4
  • 9
    • 59749085044 scopus 로고    scopus 로고
    • Mapping anatomical connectivity patterns of human cerebral cortex using in vivo diffusion tensor imaging tractography
    • Gong G, He Y, Concha L, Lebel C, Gross D, et al. (2009) Mapping anatomical connectivity patterns of human cerebral cortex using in vivo diffusion tensor imaging tractography. Cereb Cortex 19: 524.
    • (2009) Cereb Cortex , vol.19 , pp. 524
    • Gong, G.1    He, Y.2    Concha, L.3    Lebel, C.4    Gross, D.5
  • 10
    • 38349140387 scopus 로고    scopus 로고
    • Identification and classification of hubs in brain networks
    • Sporns O, Honey C, Kötter R, (2007) Identification and classification of hubs in brain networks. PLoS One 2: e1049.
    • (2007) PLoS One , vol.2 , pp. e1049
    • Sporns, O.1    Honey, C.2    Kötter, R.3
  • 11
    • 34547219105 scopus 로고    scopus 로고
    • Network structure of cerebral cortex shapes functional connectivity on multiple time scales
    • Honey C, Kötter R, Breakspear M, Sporns O, (2007) Network structure of cerebral cortex shapes functional connectivity on multiple time scales. Proc Natl Acad Sci USA 104: 10240–10245.
    • (2007) Proc Natl Acad Sci USA , vol.104 , pp. 10240-10245
    • Honey, C.1    Kötter, R.2    Breakspear, M.3    Sporns, O.4
  • 12
    • 77955834422 scopus 로고    scopus 로고
    • Network architecture of the long-distance pathways in the macaque brain
    • Modha D, Singh R, (2010) Network architecture of the long-distance pathways in the macaque brain. Proc Natl Acad Sci USA 107: 13485–13490.
    • (2010) Proc Natl Acad Sci USA , vol.107 , pp. 13485-13490
    • Modha, D.1    Singh, R.2
  • 13
    • 84867025663 scopus 로고    scopus 로고
    • Rich club organization of macaque cerebral cortex and its role in network communication
    • Harriger L, van den Heuvel M, Sporns O, (2012) Rich club organization of macaque cerebral cortex and its role in network communication. PLoS ONE 7: e46497.
    • (2012) PLoS ONE , vol.7 , pp. e46497
    • Harriger, L.1    van den Heuvel, M.2    Sporns, O.3
  • 14
    • 60849136325 scopus 로고    scopus 로고
    • Cortical hubs revealed by intrinsic functional connectivity: mapping, assessment of stability, and relation to Alzheimer's disease
    • Buckner R, Sepulcre J, Talukdar T, Krienen F, Liu H, et al. (2009) Cortical hubs revealed by intrinsic functional connectivity: mapping, assessment of stability, and relation to Alzheimer's disease. J Neurosci 29: 1860–1873.
    • (2009) J Neurosci , vol.29 , pp. 1860-1873
    • Buckner, R.1    Sepulcre, J.2    Talukdar, T.3    Krienen, F.4    Liu, H.5
  • 15
    • 77953092708 scopus 로고    scopus 로고
    • Functional connectivity density mapping
    • Tomasi D, Volkow N, (2010) Functional connectivity density mapping. Proc Natl Acad Sci USA 107: 9885–9890.
    • (2010) Proc Natl Acad Sci USA , vol.107 , pp. 9885-9890
    • Tomasi, D.1    Volkow, N.2
  • 16
    • 60549089357 scopus 로고    scopus 로고
    • Predicting human resting-state functional connectivity from structural connectivity
    • Honey C, Sporns O, Cammoun L, Gigandet X, Thiran J, et al. (2009) Predicting human resting-state functional connectivity from structural connectivity. Proc Natl Acad Sci USA 106: 2035–2040.
    • (2009) Proc Natl Acad Sci USA , vol.106 , pp. 2035-2040
    • Honey, C.1    Sporns, O.2    Cammoun, L.3    Gigandet, X.4    Thiran, J.5
  • 17
    • 55449107481 scopus 로고    scopus 로고
    • Noise during rest enables the exploration of the brain's dynamic repertoire
    • Ghosh A, Rho Y, McIntosh A, Kötter R, Jirsa V, (2008) Noise during rest enables the exploration of the brain's dynamic repertoire. PLoS Comput Biol 4: e1000196.
    • (2008) PLoS Comput Biol , vol.4 , pp. e1000196
    • Ghosh, A.1    Rho, Y.2    McIntosh, A.3    Kötter, R.4    Jirsa, V.5
  • 18
    • 84896694845 scopus 로고    scopus 로고
    • Communication efficiency and congestion of signal traffic in large-scale brain networks
    • Mišić B, Sporns O, McIntosh A, (2014) Communication efficiency and congestion of signal traffic in large-scale brain networks. PLoS Comput Biol 10: e1003427.
    • (2014) PLoS Comput Biol , vol.10 , pp. e1003427
    • Mišić, B.1    Sporns, O.2    McIntosh, A.3
  • 19
    • 0035968438 scopus 로고    scopus 로고
    • Advanced database methodology for the Collation of Connectivity data on the Macaque brain (CoCoMac)
    • Stephan K, Kamper L, Bozkurt A, Burns G, Young M, et al. (2001) Advanced database methodology for the Collation of Connectivity data on the Macaque brain (CoCoMac). Philos Trans R Soc London B 356: 1159–1186.
    • (2001) Philos Trans R Soc London B , vol.356 , pp. 1159-1186
    • Stephan, K.1    Kamper, L.2    Bozkurt, A.3    Burns, G.4    Young, M.5
  • 20
    • 6344245918 scopus 로고    scopus 로고
    • Online retrieval, processing, and visualization of primate connectivity data from the CoCoMac database
    • Kötter R, (2004) Online retrieval, processing, and visualization of primate connectivity data from the CoCoMac database. Neuroinformatics 2: 127–144.
    • (2004) Neuroinformatics , vol.2 , pp. 127-144
    • Kötter, R.1
  • 21
    • 0029688030 scopus 로고    scopus 로고
    • Queueing network modeling of elementary mental processes
    • Liu Y, (1996) Queueing network modeling of elementary mental processes. Psychol Rev 103: 116–136.
    • (1996) Psychol Rev , vol.103 , pp. 116-136
    • Liu, Y.1
  • 22
    • 0025301061 scopus 로고
    • Cortical inputs to the ca1 field of the monkey hippocampus originate from the perirhinal and parahippocampal cortex but not from area te
    • Suzuki W, Amaral D, (1990) Cortical inputs to the ca1 field of the monkey hippocampus originate from the perirhinal and parahippocampal cortex but not from area te. Neurosci Lett 115: 43–48.
    • (1990) Neurosci Lett , vol.115 , pp. 43-48
    • Suzuki, W.1    Amaral, D.2
  • 23
    • 0032950330 scopus 로고    scopus 로고
    • Some temporal and parietal cortical connections converge in ca1 of the primate hippocampus
    • Rockland K, Van Hoesen G, (1999) Some temporal and parietal cortical connections converge in ca1 of the primate hippocampus. Cereb Cortex 9: 232–237.
    • (1999) Cereb Cortex , vol.9 , pp. 232-237
    • Rockland, K.1    Van Hoesen, G.2
  • 24
    • 0031583836 scopus 로고    scopus 로고
    • Divergent cortical connections to entorhinal cortex from area tf in the macaque
    • Wellman B, Rockland K, (1997) Divergent cortical connections to entorhinal cortex from area tf in the macaque. J Comp Neurol 389: 361–376.
    • (1997) J Comp Neurol , vol.389 , pp. 361-376
    • Wellman, B.1    Rockland, K.2
  • 25
    • 84886714317 scopus 로고    scopus 로고
    • Neural convergence and divergence in the mammalian cerebral cortex: From experimental neuroanatomy to functional neuroimaging
    • Man K, Kaplan J, Damasio H, Damasio A, (2013) Neural convergence and divergence in the mammalian cerebral cortex: From experimental neuroanatomy to functional neuroimaging. J Comp Neurol 521: 4097–4111.
    • (2013) J Comp Neurol , vol.521 , pp. 4097-4111
    • Man, K.1    Kaplan, J.2    Damasio, H.3    Damasio, A.4
  • 26
    • 67649413275 scopus 로고    scopus 로고
    • Convergence and divergence in a neural architecture for recognition and memory
    • Meyer K, Damasio A, (2009) Convergence and divergence in a neural architecture for recognition and memory. Trends Neurosci 32: 376–382.
    • (2009) Trends Neurosci , vol.32 , pp. 376-382
    • Meyer, K.1    Damasio, A.2
  • 28
    • 0033822711 scopus 로고    scopus 로고
    • Hippocampo-cortical and cortico-cortical backprojections
    • Rolls E, (2000) Hippocampo-cortical and cortico-cortical backprojections. Hippocampus 10: 380–388.
    • (2000) Hippocampus , vol.10 , pp. 380-388
    • Rolls, E.1
  • 29
    • 0033656841 scopus 로고    scopus 로고
    • Memory systems in the brain
    • Rolls E, (2000) Memory systems in the brain. Annu Rev Psychol 51: 599–630.
    • (2000) Annu Rev Psychol , vol.51 , pp. 599-630
    • Rolls, E.1
  • 30
    • 70450245932 scopus 로고    scopus 로고
    • Self-generated theta oscillations in the hippocampus
    • Goutagny R, Jackson J, Williams S, (2009) Self-generated theta oscillations in the hippocampus. Nat Neurosci 12: 1491–1493.
    • (2009) Nat Neurosci , vol.12 , pp. 1491-1493
    • Goutagny, R.1    Jackson, J.2    Williams, S.3
  • 31
    • 84876097809 scopus 로고    scopus 로고
    • Dynamic reconfiguration of hippocampal interneuron circuits during spatial learning
    • Dupret D, ONeill J, Csicsvari J, (2013) Dynamic reconfiguration of hippocampal interneuron circuits during spatial learning. Neuron 78: 166–180.
    • (2013) Neuron , vol.78 , pp. 166-180
    • Dupret, D.1    ONeill, J.2    Csicsvari, J.3
  • 32
    • 70450208836 scopus 로고    scopus 로고
    • Frequency of gamma oscillations routes flow of information in the hippocampus
    • Colgin L, Denninger T, Fyhn M, Hafting T, Bonnevie T, et al. (2009) Frequency of gamma oscillations routes flow of information in the hippocampus. Nature 462: 353–357.
    • (2009) Nature , vol.462 , pp. 353-357
    • Colgin, L.1    Denninger, T.2    Fyhn, M.3    Hafting, T.4    Bonnevie, T.5
  • 33
    • 79551510404 scopus 로고    scopus 로고
    • Neural structures and mechanisms involved in scene recognition: a review and interpretation
    • Sewards T, (2011) Neural structures and mechanisms involved in scene recognition: a review and interpretation. Neuropsychologia 49: 277–298.
    • (2011) Neuropsychologia , vol.49 , pp. 277-298
    • Sewards, T.1
  • 35
    • 79551532625 scopus 로고    scopus 로고
    • Weight consistency specifies regularities of macaque cortical networks
    • Markov N, Misery P, Falchier A, Lamy C, Vezoli J, et al. (2011) Weight consistency specifies regularities of macaque cortical networks. Cereb Cortex 21: 1254–1272.
    • (2011) Cereb Cortex , vol.21 , pp. 1254-1272
    • Markov, N.1    Misery, P.2    Falchier, A.3    Lamy, C.4    Vezoli, J.5
  • 36
    • 84890545141 scopus 로고    scopus 로고
    • A weighted and directed interareal connectivity matrix for macaque cerebral cortex
    • Markov N, Ercsey-Ravasz M, Gomes AR, Lamy C, Magrou L, et al. (2014) A weighted and directed interareal connectivity matrix for macaque cerebral cortex. Cereb Cortex 24: 17–36.
    • (2014) Cereb Cortex , vol.24 , pp. 17-36
    • Markov, N.1    Ercsey-Ravasz, M.2    Gomes, A.R.3    Lamy, C.4    Magrou, L.5
  • 37
    • 84861459104 scopus 로고    scopus 로고
    • The organization of physiological brain networks
    • Stam C, van Straaten E, (2012) The organization of physiological brain networks. Clin Neurophysiol 123: 1067–1087.
    • (2012) Clin Neurophysiol , vol.123 , pp. 1067-1087
    • Stam, C.1    van Straaten, E.2
  • 38
    • 60549103853 scopus 로고    scopus 로고
    • Complex brain networks: graph theoretical analysis of structural and functional systems
    • Bullmore E, Sporns O, (2009) Complex brain networks: graph theoretical analysis of structural and functional systems. Nat Rev Neurosci 10: 186–198.
    • (2009) Nat Rev Neurosci , vol.10 , pp. 186-198
    • Bullmore, E.1    Sporns, O.2
  • 39
    • 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: 1059–1069.
    • (2010) NeuroImage , vol.52 , pp. 1059-1069
    • Rubinov, M.1    Sporns, O.2
  • 40
    • 78650086680 scopus 로고    scopus 로고
    • The packet-switching brain
    • Graham D, Rockmore D, (2011) The packet-switching brain. J Cogn Neurosci 23: 267–276.
    • (2011) J Cogn Neurosci , vol.23 , pp. 267-276
    • Graham, D.1    Rockmore, D.2
  • 42
    • 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: 910–913.
    • (2002) Science , vol.296 , pp. 910-913
    • Maslov, S.1    Sneppen, K.2
  • 43
    • 0004202020 scopus 로고
    • Queuing Systems
    • Kleinrock L (1972) Queuing Systems, volume I: Theory. New York: John Wiley and Sons.
    • (1972)
    • Kleinrock, L.1
  • 44
    • 84919622008 scopus 로고
    • Banks J, Carson II J, Nelson B (1984) Discrete-event system simulation. Prentice Hall.
    • (1984) , vol.II
    • Banks, J.1
  • 45
    • 84919622007 scopus 로고
    • Takagi H (1993) Queueing Analysis, volume 3: Discrete-Time Systems. Amsterdam, The Netherlands: North-Holland.
    • (1993)
    • Takagi, H.1
  • 46
    • 0031599142 scopus 로고    scopus 로고
    • Mersenne twister: a 623-dimensionally equidistributed uniform pseudo-random number generator
    • Matsumoto M, Nishimura T, (1998) Mersenne twister: a 623-dimensionally equidistributed uniform pseudo-random number generator. ACM T Model Comput S 8: 3–30.
    • (1998) ACM T Model Comput S , vol.8 , pp. 3-30
    • Matsumoto, M.1    Nishimura, T.2
  • 48
    • 42749106419 scopus 로고    scopus 로고
    • Traffic on complex networks: Towards understanding global statistical properties from microscopic density fluctuations
    • Tadić B, Thurner S, Rodgers G, (2004) Traffic on complex networks: Towards understanding global statistical properties from microscopic density fluctuations. Phys Rev E 69: 036102.
    • (2004) Phys Rev E , vol.69 , pp. 036102
    • Tadić, B.1    Thurner, S.2    Rodgers, G.3
  • 50
    • 0001098005 scopus 로고
    • Retinal noise and absolute threshold
    • Barlow H, (1956) Retinal noise and absolute threshold. J Opt Soc USA 46: 634–639.
    • (1956) J Opt Soc USA , vol.46 , pp. 634-639
    • Barlow, H.1
  • 51
    • 84857827933 scopus 로고    scopus 로고
    • Biophysics: searching for principles
    • Bialek W (2012) Biophysics: searching for principles. Princeton University Press.
    • (2012)
    • Bialek, W.1
  • 52
    • 0000961738 scopus 로고
    • Neural counting mechanisms and energy detection in audition
    • McGill W, (1967) Neural counting mechanisms and energy detection in audition. J Math Psychol 4: 351–376.
    • (1967) J Math Psychol , vol.4 , pp. 351-376
    • McGill, W.1
  • 54
    • 84893558069 scopus 로고    scopus 로고
    • Network diffusion accurately models the relationship between structural and functional brain networks
    • Abdelnour F, Voss H, Raj A, (2013) Network diffusion accurately models the relationship between structural and functional brain networks. NeuroImage 90: 335–47.
    • (2013) NeuroImage , vol.90 , pp. 335-347
    • Abdelnour, F.1    Voss, H.2    Raj, A.3
  • 56
    • 84899623638 scopus 로고    scopus 로고
    • Multi-scale community organization of the human structural connectome and its relationship with resting-state functional connectivity
    • Betzel R, Griffa A, Avena-Koenigsberger A, Goñi J, Thiran JP, et al. (2013) Multi-scale community organization of the human structural connectome and its relationship with resting-state functional connectivity. Net Sci 1: 353–373.
    • (2013) Net Sci , vol.1 , pp. 353-373
    • Betzel, R.1    Griffa, A.2    Avena-Koenigsberger, A.3    Goñi, J.4    Thiran, J.P.5


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.