메뉴 건너뛰기




Volumn 134, Issue , 2016, Pages 475-485

Structural and functional correlates of motor imagery BCI performance: Insights from the patterns of fronto-parietal attention network

Author keywords

Brain computer interface (BCI); Centrality; Cortical thickness; Fronto parietal attention network; Motor imagery; Support vector machine (SVM)

Indexed keywords

ADULT; ARTICLE; BRAIN COMPUTER INTERFACE; CORTICAL THICKNESS (BRAIN); DISCRIMINANT ANALYSIS; DORSOLATERAL PREFRONTAL CORTEX; ELECTROENCEPHALOGRAPHY; FEMALE; FRONTOPARIETAL ATTENTION NETWORK; FUNCTIONAL MAGNETIC RESONANCE IMAGING; FUNCTIONAL NEUROIMAGING; HUMAN; HUMAN EXPERIMENT; IMAGERY; INTRAPARIETAL SULCUS; LEFT HEMISPHERE; MACHINE LEARNING; MALE; MOTOR IMAGERY; NERVE CELL NETWORK; NORMAL HUMAN; PARIETAL LOBE; PRIORITY JOURNAL; RECEIVER OPERATING CHARACTERISTIC; RESTING STATE NETWORK; RIGHT HEMISPHERE; SUPPORT VECTOR MACHINE; ANATOMY AND HISTOLOGY; ATTENTION; BRAIN MAPPING; FRONTAL LOBE; IMAGINATION; NERVE TRACT; NUCLEAR MAGNETIC RESONANCE IMAGING; PHYSIOLOGY; PSYCHOMOTOR PERFORMANCE; YOUNG ADULT;

EID: 84964501826     PISSN: 10538119     EISSN: 10959572     Source Type: Journal    
DOI: 10.1016/j.neuroimage.2016.04.030     Document Type: Article
Times cited : (95)

References (101)
  • 2
    • 84920895426 scopus 로고    scopus 로고
    • Is functional integration of resting state brain networks an unspecific biomarker for working memory performance?
    • Alavash M., Doebler P., Holling H., Thiel C.M., Giessing C. Is functional integration of resting state brain networks an unspecific biomarker for working memory performance?. NeuroImage 2015, 108:182-193.
    • (2015) NeuroImage , vol.108 , pp. 182-193
    • Alavash, M.1    Doebler, P.2    Holling, H.3    Thiel, C.M.4    Giessing, C.5
  • 5
    • 84958107573 scopus 로고    scopus 로고
    • Using motor imagery therapy to improve movement efficiency and reduce fall injury risk
    • Ashley Fox C.G. Using motor imagery therapy to improve movement efficiency and reduce fall injury risk. J. Nov. Physiother. 2013, 03.
    • (2013) J. Nov. Physiother. , vol.3
    • Ashley Fox, C.G.1
  • 6
    • 84920829198 scopus 로고    scopus 로고
    • Selective disruption of sociocognitive structural brain networks in autism and alexithymia
    • Bernhardt B.C., Valk S.L., Silani G., Bird G., Frith U., Singer T. Selective disruption of sociocognitive structural brain networks in autism and alexithymia. Cereb. Cortex 2014, 24:3258-3267.
    • (2014) Cereb. Cortex , vol.24 , pp. 3258-3267
    • Bernhardt, B.C.1    Valk, S.L.2    Silani, G.3    Bird, G.4    Frith, U.5    Singer, T.6
  • 10
    • 13944249973 scopus 로고    scopus 로고
    • Centrality and network flow
    • Borgatti S.P. Centrality and network flow. Soc. Networks 2005, 27:55-71.
    • (2005) Soc. Networks , vol.27 , pp. 55-71
    • Borgatti, S.P.1
  • 11
    • 60549103853 scopus 로고    scopus 로고
    • Complex brain networks: graph theoretical analysis of structural and functional systems
    • Bullmore E., Sporns O. Complex brain networks: graph theoretical analysis of structural and functional systems. Nat. Rev. Neurosci. 2009, 10:186-198.
    • (2009) Nat. Rev. Neurosci. , vol.10 , pp. 186-198
    • Bullmore, E.1    Sporns, O.2
  • 13
    • 84908246606 scopus 로고    scopus 로고
    • The chronnectome: time-varying connectivity networks as the next frontier in fMRI data discovery
    • Calhoun V.D., Miller R., Pearlson G., Adali T. The chronnectome: time-varying connectivity networks as the next frontier in fMRI data discovery. Neuron 2014, 84:262-274.
    • (2014) Neuron , vol.84 , pp. 262-274
    • Calhoun, V.D.1    Miller, R.2    Pearlson, G.3    Adali, T.4
  • 15
    • 80051733742 scopus 로고    scopus 로고
    • Representation of vestibular and visual cues to self-motion in ventral intraparietal cortex
    • Chen A., DeAngelis G.C., Angelaki D.E. Representation of vestibular and visual cues to self-motion in ventral intraparietal cortex. J. Neurosci. 2011, 31:12036-12052.
    • (2011) J. Neurosci. , vol.31 , pp. 12036-12052
    • Chen, A.1    DeAngelis, G.C.2    Angelaki, D.E.3
  • 17
    • 0036517313 scopus 로고    scopus 로고
    • Control of goal-directed and stimulus-driven attention in the brain
    • Corbetta M., Shulman G.L. Control of goal-directed and stimulus-driven attention in the brain. Nat. Rev. Neurosci. 2002, 3:201-215.
    • (2002) Nat. Rev. Neurosci. , vol.3 , pp. 201-215
    • Corbetta, M.1    Shulman, G.L.2
  • 18
    • 0036534373 scopus 로고    scopus 로고
    • Neural systems for visual orienting and their relationships to spatial working memory
    • Corbetta M., Kincade J.M., Shulman G.L. Neural systems for visual orienting and their relationships to spatial working memory. J. Cogn. Neurosci. 2002, 14:508-523.
    • (2002) J. Cogn. Neurosci. , vol.14 , pp. 508-523
    • Corbetta, M.1    Kincade, J.M.2    Shulman, G.L.3
  • 19
    • 0032769093 scopus 로고    scopus 로고
    • Cortical surface-based analysis. I. Segmentation and surface reconstruction
    • Dale A.M., Fischl B., Sereno M.I. Cortical surface-based analysis. I. Segmentation and surface reconstruction. NeuroImage 1999, 9:179-194.
    • (1999) NeuroImage , vol.9 , pp. 179-194
    • Dale, A.M.1    Fischl, B.2    Sereno, M.I.3
  • 20
    • 33646023117 scopus 로고    scopus 로고
    • An introduction to ROC analysis
    • Fawcett T. An introduction to ROC analysis. Pattern Recogn. Lett. 2006, 27:861-874.
    • (2006) Pattern Recogn. Lett. , vol.27 , pp. 861-874
    • Fawcett, T.1
  • 22
    • 84880332133 scopus 로고    scopus 로고
    • Graph analysis of the human connectome: promise, progress, and pitfalls
    • Fornito A., Zalesky A., Breakspear M. Graph analysis of the human connectome: promise, progress, and pitfalls. NeuroImage 2013, 80:426-444.
    • (2013) NeuroImage , vol.80 , pp. 426-444
    • Fornito, A.1    Zalesky, A.2    Breakspear, M.3
  • 24
    • 84876115524 scopus 로고    scopus 로고
    • Long-term evaluation of a 4-class imagery-based brain-computer interface
    • Friedrich E.V., Scherer R., Neuper C. Long-term evaluation of a 4-class imagery-based brain-computer interface. Clin. Neurophysiol. 2013, 124:916-927.
    • (2013) Clin. Neurophysiol. , vol.124 , pp. 916-927
    • Friedrich, E.V.1    Scherer, R.2    Neuper, C.3
  • 25
    • 78649663177 scopus 로고    scopus 로고
    • Evaluation of effective connectivity of motor areas during motor imagery and execution using conditional Granger causality
    • Gao Q., Duan X., Chen H. Evaluation of effective connectivity of motor areas during motor imagery and execution using conditional Granger causality. NeuroImage 2011, 54:1280-1288.
    • (2011) NeuroImage , vol.54 , pp. 1280-1288
    • Gao, Q.1    Duan, X.2    Chen, H.3
  • 31
    • 78651321586 scopus 로고    scopus 로고
    • Lateral prefrontal cortex subregions make dissociable contributions during fluid reasoning
    • Hampshire A., Thompson R., Duncan J., Owen A.M. Lateral prefrontal cortex subregions make dissociable contributions during fluid reasoning. Cereb. Cortex 2011, 21:1-10.
    • (2011) Cereb. Cortex , vol.21 , pp. 1-10
    • Hampshire, A.1    Thompson, R.2    Duncan, J.3    Owen, A.M.4
  • 36
    • 0034056319 scopus 로고    scopus 로고
    • The neural mechanisms of top-down attentional control
    • Hopfinger J.B., Buonocore M.H., Mangun G.R. The neural mechanisms of top-down attentional control. Nat. Neurosci. 2000, 3:284-291.
    • (2000) Nat. Neurosci. , vol.3 , pp. 284-291
    • Hopfinger, J.B.1    Buonocore, M.H.2    Mangun, G.R.3
  • 37
    • 33845536164 scopus 로고    scopus 로고
    • The class imbalance problem: a systematic study
    • Japkowicz N., Stephen S. The class imbalance problem: a systematic study. Intelligent Data Analysis 2002, 6:429-449.
    • (2002) Intelligent Data Analysis , vol.6 , pp. 429-449
    • Japkowicz, N.1    Stephen, S.2
  • 38
    • 84922636172 scopus 로고    scopus 로고
    • Neuroanatomical correlates of brain-computer interface performance
    • Kasahara K., DaSalla C.S., Honda M., Hanakawa T. Neuroanatomical correlates of brain-computer interface performance. NeuroImage 2015, 110:95-100.
    • (2015) NeuroImage , vol.110 , pp. 95-100
    • Kasahara, K.1    DaSalla, C.S.2    Honda, M.3    Hanakawa, T.4
  • 39
    • 84874812053 scopus 로고    scopus 로고
    • Histological image classification using biologically interpretable shape-based features
    • Kothari S., Phan J.H., Young A.N., Wang M.D. Histological image classification using biologically interpretable shape-based features. BMC Med. Imaging 2013, 13.
    • (2013) BMC Med. Imaging , pp. 13
    • Kothari, S.1    Phan, J.H.2    Young, A.N.3    Wang, M.D.4
  • 43
    • 79954484840 scopus 로고    scopus 로고
    • Manipulating attention via mindfulness induction improves P300-based brain-computer interface performance
    • Lakey C.E., Berry D.R., Sellers E.W. Manipulating attention via mindfulness induction improves P300-based brain-computer interface performance. J. Neural Eng. 2011, 8:025019.
    • (2011) J. Neural Eng. , vol.8 , pp. 025019
    • Lakey, C.E.1    Berry, D.R.2    Sellers, E.W.3
  • 44
    • 84884816446 scopus 로고    scopus 로고
    • The effects of working memory training on functional brain network efficiency
    • Langer N., von Bastian C.C., Wirz H., Oberauer K., Jäncke L. The effects of working memory training on functional brain network efficiency. Cortex 2013, 49:2424-2438.
    • (2013) Cortex , vol.49 , pp. 2424-2438
    • Langer, N.1    von Bastian, C.C.2    Wirz, H.3    Oberauer, K.4    Jäncke, L.5
  • 45
    • 84943646861 scopus 로고    scopus 로고
    • Brain-machine interfaces: from macro- to microcircuits
    • Springer, Netherlands, M.F. Casanova, I. Opris (Eds.)
    • Lebedev M., Opris I. Brain-machine interfaces: from macro- to microcircuits. Recent Advances on the Modular Organization of the Cortex 2015, 407-428. Springer, Netherlands. M.F. Casanova, I. Opris (Eds.).
    • (2015) Recent Advances on the Modular Organization of the Cortex , pp. 407-428
    • Lebedev, M.1    Opris, I.2
  • 46
    • 33744902596 scopus 로고    scopus 로고
    • Mapping anatomical correlations across cerebral cortex (MACACC) using cortical thickness from MRI
    • Lerch J.P., Worsley K., Shaw W.P., Greenstein D.K., Lenroot R.K., Giedd J., Evans A.C. Mapping anatomical correlations across cerebral cortex (MACACC) using cortical thickness from MRI. NeuroImage 2006, 31:993-1003.
    • (2006) NeuroImage , vol.31 , pp. 993-1003
    • Lerch, J.P.1    Worsley, K.2    Shaw, W.P.3    Greenstein, D.K.4    Lenroot, R.K.5    Giedd, J.6    Evans, A.C.7
  • 47
    • 84881539823 scopus 로고    scopus 로고
    • L1 norm based common spatial patterns decomposition for scalp EEG BCI
    • Li P., Xu P., Zhang R., Guo L., Yao D. L1 norm based common spatial patterns decomposition for scalp EEG BCI. Biomed. Eng. Online 2013, 12:77.
    • (2013) Biomed. Eng. Online , vol.12 , pp. 77
    • Li, P.1    Xu, P.2    Zhang, R.3    Guo, L.4    Yao, D.5
  • 48
    • 84917684346 scopus 로고    scopus 로고
    • Increased cortical thickness and altered functional connectivity of the right superior temporal gyrus in left-handers
    • Li M., Chen H., Wang J., Liu F., Wang Y., Lu F., Yu C., Chen H. Increased cortical thickness and altered functional connectivity of the right superior temporal gyrus in left-handers. Neuropsychologia 2014, 67C:27-34.
    • (2014) Neuropsychologia , vol.67C , pp. 27-34
    • Li, M.1    Chen, H.2    Wang, J.3    Liu, F.4    Wang, Y.5    Lu, F.6    Yu, C.7    Chen, H.8
  • 50
    • 84885160193 scopus 로고    scopus 로고
    • Inter-modality relationship constrained multi-modality multi-task feature selection for Alzheimer's disease and mild cognitive impairment identification
    • Liu F., Wee C.Y., Chen H., Shen D. Inter-modality relationship constrained multi-modality multi-task feature selection for Alzheimer's disease and mild cognitive impairment identification. NeuroImage 2013, 84C:466-475.
    • (2013) NeuroImage , vol.84C , pp. 466-475
    • Liu, F.1    Wee, C.Y.2    Chen, H.3    Shen, D.4
  • 52
    • 84899472647 scopus 로고    scopus 로고
    • The cross-functional role of frontoparietal regions in cognition: internal attention as the overarching mechanism
    • Luckmann H.C., Jacobs H.I., Sack A.T. The cross-functional role of frontoparietal regions in cognition: internal attention as the overarching mechanism. Prog. Neurobiol. 2014, 116:66-86.
    • (2014) Prog. Neurobiol. , vol.116 , pp. 66-86
    • Luckmann, H.C.1    Jacobs, H.I.2    Sack, A.T.3
  • 53
    • 72649099102 scopus 로고    scopus 로고
    • What has fMRI told us about the development of cognitive control through adolescence?
    • Luna B., Padmanabhan A., O'Hearn K. What has fMRI told us about the development of cognitive control through adolescence?. Brain Cogn. 2010, 72:101-113.
    • (2010) Brain Cogn. , vol.72 , pp. 101-113
    • Luna, B.1    Padmanabhan, A.2    O'Hearn, K.3
  • 54
    • 0033823615 scopus 로고    scopus 로고
    • Automated 3-D extraction of inner and outer surfaces of cerebral cortex from MRI
    • MacDonald D., Kabani N., Avis D., Evans A.C. Automated 3-D extraction of inner and outer surfaces of cerebral cortex from MRI. NeuroImage 2000, 12:340-356.
    • (2000) NeuroImage , vol.12 , pp. 340-356
    • MacDonald, D.1    Kabani, N.2    Avis, D.3    Evans, A.C.4
  • 55
    • 84865352016 scopus 로고    scopus 로고
    • Motor imagery and higher-level cognition: four hurdles before research can sprint forward
    • Madan C.R., Singhal A. Motor imagery and higher-level cognition: four hurdles before research can sprint forward. Cogn. Process. 2012, 13:211-229.
    • (2012) Cogn. Process. , vol.13 , pp. 211-229
    • Madan, C.R.1    Singhal, A.2
  • 56
    • 84896389169 scopus 로고    scopus 로고
    • Assessing the function of the fronto-parietal attention network: insights from resting-state fMRI and the attentional network test
    • Markett S., Reuter M., Montag C., Voigt G., Lachmann B., Rudorf S., Elger C.E., Weber B. Assessing the function of the fronto-parietal attention network: insights from resting-state fMRI and the attentional network test. Hum. Brain Mapp. 2014, 35:1700-1709.
    • (2014) Hum. Brain Mapp. , vol.35 , pp. 1700-1709
    • Markett, S.1    Reuter, M.2    Montag, C.3    Voigt, G.4    Lachmann, B.5    Rudorf, S.6    Elger, C.E.7    Weber, B.8
  • 60
    • 84930370551 scopus 로고    scopus 로고
    • Brain-machine interfaces beyond neuroprosthetics
    • Moxon K.A., Foffani G. Brain-machine interfaces beyond neuroprosthetics. Neuron 2015, 86:55-67.
    • (2015) Neuron , vol.86 , pp. 55-67
    • Moxon, K.A.1    Foffani, G.2
  • 61
    • 0344849430 scopus 로고    scopus 로고
    • Designing optimal spatial filters for single-trial EEG classification in a movement task
    • Muller-Gerking J., Pfurtscheller G., Flyvbjerg H. Designing optimal spatial filters for single-trial EEG classification in a movement task. Clin. Neurophysiol. 1999, 110:787-798.
    • (1999) Clin. Neurophysiol. , vol.110 , pp. 787-798
    • Muller-Gerking, J.1    Pfurtscheller, G.2    Flyvbjerg, H.3
  • 62
    • 20444387561 scopus 로고    scopus 로고
    • Common fronto-parietal activity in attention, memory, and consciousness: shared demands on integration?
    • Naghavi H.R., Nyberg L. Common fronto-parietal activity in attention, memory, and consciousness: shared demands on integration?. Conscious. Cogn. 2005, 14:390-425.
    • (2005) Conscious. Cogn. , vol.14 , pp. 390-425
    • Naghavi, H.R.1    Nyberg, L.2
  • 64
    • 28844443468 scopus 로고    scopus 로고
    • Imagery of motor actions: differential effects of kinesthetic and visual-motor mode of imagery in single-trial EEG
    • Neuper C., Scherer R., Reiner M., Pfurtscheller G. Imagery of motor actions: differential effects of kinesthetic and visual-motor mode of imagery in single-trial EEG. Brain Res. Cogn. Brain Res. 2005, 25:668-677.
    • (2005) Brain Res. Cogn. Brain Res. , vol.25 , pp. 668-677
    • Neuper, C.1    Scherer, R.2    Reiner, M.3    Pfurtscheller, G.4
  • 65
    • 84934755524 scopus 로고    scopus 로고
    • Dynamically allocated hub in task-evoked network predicts the vulnerable prefrontal locus for contextual memory retrieval in macaques
    • Osada T., Adachi Y., Miyamoto K., Jimura K., Setsuie R., Miyashita Y. Dynamically allocated hub in task-evoked network predicts the vulnerable prefrontal locus for contextual memory retrieval in macaques. PLoS Biol. 2015, 13.
    • (2015) PLoS Biol. , vol.13
    • Osada, T.1    Adachi, Y.2    Miyamoto, K.3    Jimura, K.4    Setsuie, R.5    Miyashita, Y.6
  • 66
    • 65549168742 scopus 로고    scopus 로고
    • Machine learning classifiers and fMRI: a tutorial overview
    • Pereira F., Mitchell T., Botvinick M. Machine learning classifiers and fMRI: a tutorial overview. NeuroImage 2009, 45:S199-S209.
    • (2009) NeuroImage , vol.45 , pp. S199-S209
    • Pereira, F.1    Mitchell, T.2    Botvinick, M.3
  • 70
    • 84866682860 scopus 로고    scopus 로고
    • The frontoparietal attention network of the human brain: action, saliency, and a priority map of the environment
    • Ptak R. The frontoparietal attention network of the human brain: action, saliency, and a priority map of the environment. Neuroscientist 2012, 18:502-515.
    • (2012) Neuroscientist , vol.18 , pp. 502-515
    • Ptak, R.1
  • 71
    • 77954385460 scopus 로고    scopus 로고
    • Complex network measures of brain connectivity: uses and interpretations
    • Rubinov M., Sporns O. Complex network measures of brain connectivity: uses and interpretations. NeuroImage 2010, 52:1059-1069.
    • (2010) NeuroImage , vol.52 , pp. 1059-1069
    • Rubinov, M.1    Sporns, O.2
  • 72
    • 67349251888 scopus 로고    scopus 로고
    • Parietal cortex and spatial cognition
    • Sack A.T. Parietal cortex and spatial cognition. Behav. Brain Res. 2009, 202:153-161.
    • (2009) Behav. Brain Res. , vol.202 , pp. 153-161
    • Sack, A.T.1
  • 73
    • 84867070595 scopus 로고    scopus 로고
    • Hemispheric differences within the fronto-parietal network dynamics underlying spatial imagery
    • Sack A.T., Schuhmann T. Hemispheric differences within the fronto-parietal network dynamics underlying spatial imagery. Front. Psychol. 2012, 3:214.
    • (2012) Front. Psychol. , vol.3 , pp. 214
    • Sack, A.T.1    Schuhmann, T.2
  • 75
    • 84920084784 scopus 로고    scopus 로고
    • Functions of the human frontoparietal attention network: evidence from neuroimaging
    • Scolari M., Seidl-Rathkopf K.N., Kastner S. Functions of the human frontoparietal attention network: evidence from neuroimaging. Curr. Opin. Behav. Sci. 2015, 1:32-39.
    • (2015) Curr. Opin. Behav. Sci. , vol.1 , pp. 32-39
    • Scolari, M.1    Seidl-Rathkopf, K.N.2    Kastner, S.3
  • 76
    • 0346362443 scopus 로고    scopus 로고
    • Monitoring and the controlled processing of meaning: distinct prefrontal systems
    • Sharp D.J., Scott S.K., Wise R.J.S. Monitoring and the controlled processing of meaning: distinct prefrontal systems. Cereb. Cortex 2004, 14:1-10.
    • (2004) Cereb. Cortex , vol.14 , pp. 1-10
    • Sharp, D.J.1    Scott, S.K.2    Wise, R.J.S.3
  • 77
    • 84884671868 scopus 로고    scopus 로고
    • Trajectories of cerebral cortical development in childhood and adolescence and adult attention-deficit/hyperactivity disorder
    • Shaw P., Malek M., Watson B., Greenstein D., de Rossi P., Sharp W. Trajectories of cerebral cortical development in childhood and adolescence and adult attention-deficit/hyperactivity disorder. Biol. Psychiatry 2013, 74:599-606.
    • (2013) Biol. Psychiatry , vol.74 , pp. 599-606
    • Shaw, P.1    Malek, M.2    Watson, B.3    Greenstein, D.4    de Rossi, P.5    Sharp, W.6
  • 78
    • 0029778753 scopus 로고    scopus 로고
    • The mental representation of hand movements after parietal cortex damage
    • Sirigu A., Duhamel J.R., Cohen L., Pillon B., Dubois B., Agid Y. The mental representation of hand movements after parietal cortex damage. Science 1996, 273:1564-1568.
    • (1996) Science , vol.273 , pp. 1564-1568
    • Sirigu, A.1    Duhamel, J.R.2    Cohen, L.3    Pillon, B.4    Dubois, B.5    Agid, Y.6
  • 80
    • 84880791381 scopus 로고    scopus 로고
    • Making sense of brain network data
    • Sporns O. Making sense of brain network data. Nat. Methods 2013, 10:491-493.
    • (2013) Nat. Methods , vol.10 , pp. 491-493
    • Sporns, O.1
  • 81
    • 84888044932 scopus 로고    scopus 로고
    • Structure and function of complex brain networks
    • Sporns O. Structure and function of complex brain networks. Dialogues Clin. Neurosci. 2013, 15:247-262.
    • (2013) Dialogues Clin. Neurosci. , vol.15 , pp. 247-262
    • Sporns, O.1
  • 82
    • 84920604638 scopus 로고    scopus 로고
    • Weighted brain networks in disease: centrality and entropy in human immunodeficiency virus and aging
    • Thomas J.B., Brier M.R., Ortega M., Benzinger T.L., Ances B.M. Weighted brain networks in disease: centrality and entropy in human immunodeficiency virus and aging. Neurobiol. Aging 2015, 36:401-412.
    • (2015) Neurobiol. Aging , vol.36 , pp. 401-412
    • Thomas, J.B.1    Brier, M.R.2    Ortega, M.3    Benzinger, T.L.4    Ances, B.M.5
  • 83
    • 54149109403 scopus 로고    scopus 로고
    • Functional coactivation map of the human brain
    • Toro R., Fox P.T., Paus T. Functional coactivation map of the human brain. Cereb. Cortex 2008, 18:2553-2559.
    • (2008) Cereb. Cortex , vol.18 , pp. 2553-2559
    • Toro, R.1    Fox, P.T.2    Paus, T.3
  • 85
    • 84919459024 scopus 로고    scopus 로고
    • Evolutionary and developmental changes in the lateral frontoparietal network: a little goes a long way for higher-level cognition
    • Vendetti Michael S., Bunge Silvia A. Evolutionary and developmental changes in the lateral frontoparietal network: a little goes a long way for higher-level cognition. Neuron 2014, 84:906-917.
    • (2014) Neuron , vol.84 , pp. 906-917
    • Vendetti, M.S.1    Bunge, S.A.2
  • 86
    • 77954534870 scopus 로고    scopus 로고
    • Towards a cure for BCI illiteracy
    • Vidaurre C., Blankertz B. Towards a cure for BCI illiteracy. Brain Topogr. 2010, 23:194-198.
    • (2010) Brain Topogr. , vol.23 , pp. 194-198
    • Vidaurre, C.1    Blankertz, B.2
  • 87
    • 84921527343 scopus 로고    scopus 로고
    • Early visual deprivation changes cortical anatomical covariance in dorsal-stream structures
    • Voss P., Zatorre R.J. Early visual deprivation changes cortical anatomical covariance in dorsal-stream structures. NeuroImage 2015, 108:194-202.
    • (2015) NeuroImage , vol.108 , pp. 194-202
    • Voss, P.1    Zatorre, R.J.2
  • 88
    • 38749122436 scopus 로고    scopus 로고
    • Maintaining structured information: an investigation into functions of parietal and lateral prefrontal cortices
    • Wendelken C., Bunge S.A., Carter C.S. Maintaining structured information: an investigation into functions of parietal and lateral prefrontal cortices. Neuropsychologia 2008, 46:665-678.
    • (2008) Neuropsychologia , vol.46 , pp. 665-678
    • Wendelken, C.1    Bunge, S.A.2    Carter, C.S.3
  • 89
    • 81855193709 scopus 로고    scopus 로고
    • Increased functional selectivity over development in rostrolateral prefrontal cortex
    • Wendelken C., O'Hare E.D., Whitaker K.J., Ferrer E., Bunge S.A. Increased functional selectivity over development in rostrolateral prefrontal cortex. J. Neurosci. 2011, 31:17260-17268.
    • (2011) J. Neurosci. , vol.31 , pp. 17260-17268
    • Wendelken, C.1    O'Hare, E.D.2    Whitaker, K.J.3    Ferrer, E.4    Bunge, S.A.5
  • 90
    • 79551627007 scopus 로고    scopus 로고
    • An enhanced probabilistic LDA for multi-class brain computer interface
    • Xu P., Yang P., Lei X., Yao D. An enhanced probabilistic LDA for multi-class brain computer interface. PLoS One 2011, 6.
    • (2011) PLoS One , vol.6
    • Xu, P.1    Yang, P.2    Lei, X.3    Yao, D.4
  • 91
    • 38049089869 scopus 로고    scopus 로고
    • Neuroimaging studies of mental rotation: a meta-analysis and review
    • Zacks J.M. Neuroimaging studies of mental rotation: a meta-analysis and review. J. Cogn. Neurosci. 2008, 20:1-19.
    • (2008) J. Cogn. Neurosci. , vol.20 , pp. 1-19
    • Zacks, J.M.1
  • 92
    • 77957324650 scopus 로고    scopus 로고
    • Network-based statistic: identifying differences in brain networks
    • Zalesky A., Fornito A., Bullmore E.T. Network-based statistic: identifying differences in brain networks. NeuroImage 2010, 53:1197-1207.
    • (2010) NeuroImage , vol.53 , pp. 1197-1207
    • Zalesky, A.1    Fornito, A.2    Bullmore, E.T.3
  • 93
    • 84888876544 scopus 로고    scopus 로고
    • Fronto-parietal network: flexible hub of cognitive control
    • Zanto T.P., Gazzaley A. Fronto-parietal network: flexible hub of cognitive control. Trends Cogn. Sci. 2013, 17:602-603.
    • (2013) Trends Cogn. Sci. , vol.17 , pp. 602-603
    • Zanto, T.P.1    Gazzaley, A.2
  • 94
    • 84884165951 scopus 로고    scopus 로고
    • Z-score linear discriminant analysis for EEG based brain-computer interfaces
    • Zhang R., Xu P., Guo L., Zhang Y., Li P., Yao D. Z-score linear discriminant analysis for EEG based brain-computer interfaces. PLoS One 2013, 8.
    • (2013) PLoS One , vol.8
    • Zhang, R.1    Xu, P.2    Guo, L.3    Zhang, Y.4    Li, P.5    Yao, D.6
  • 95
    • 84890072166 scopus 로고    scopus 로고
    • Local temporal correlation common spatial patterns for single trial EEG classification during motor imagery
    • Zhang R., Xu P., Liu T., Zhang Y., Guo L., Li P., Yao D. Local temporal correlation common spatial patterns for single trial EEG classification during motor imagery. Comput. Math Methods Med. 2013, 2013:7.
    • (2013) Comput. Math Methods Med. , vol.2013 , pp. 7
    • Zhang, R.1    Xu, P.2    Liu, T.3    Zhang, Y.4    Guo, L.5    Li, P.6    Yao, D.7
  • 96
    • 84938744320 scopus 로고    scopus 로고
    • Predicting inter-session performance of SMR-based brain-computer interface using the spectral entropy of resting-state EEG
    • Zhang R., Xu P., Chen R., Li F., Guo L., Li P., Zhang T., Yao D. Predicting inter-session performance of SMR-based brain-computer interface using the spectral entropy of resting-state EEG. Brain Topogr. 2015.
    • (2015) Brain Topogr.
    • Zhang, R.1    Xu, P.2    Chen, R.3    Li, F.4    Guo, L.5    Li, P.6    Zhang, T.7    Yao, D.8
  • 98
    • 84949129803 scopus 로고    scopus 로고
    • Accelerated longitudinal cortical thinning in adolescence
    • Zhou D., Lebel C., Treit S., Evans A., Beaulieu C. Accelerated longitudinal cortical thinning in adolescence. NeuroImage 2015, 104:138-145.
    • (2015) NeuroImage , vol.104 , pp. 138-145
    • Zhou, D.1    Lebel, C.2    Treit, S.3    Evans, A.4    Beaulieu, C.5
  • 99
    • 84929586092 scopus 로고    scopus 로고
    • Real-time EEG feedback during simultaneous EEG-fMRI identifies the cortical signature of motor imagery
    • Zich C., Debener S., Kranczioch C., Bleichner M.G., Gutberlet I., De Vos M. Real-time EEG feedback during simultaneous EEG-fMRI identifies the cortical signature of motor imagery. NeuroImage 2015, 114:438-447.
    • (2015) NeuroImage , vol.114 , pp. 438-447
    • Zich, C.1    Debener, S.2    Kranczioch, C.3    Bleichner, M.G.4    Gutberlet, I.5    De Vos, M.6


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.