메뉴 건너뛰기




Volumn 38, Issue 1, 2017, Pages 202-220

Real-time estimation of dynamic functional connectivity networks

Author keywords

dynamic networks; functional connectivity; neurofeedback; real time; streaming penalized optimization

Indexed keywords

ALGORITHM; ARTICLE; ATTENTION TEST; BRAIN CORTEX; CONNECTOME; FUNCTIONAL CONNECTIVITY; FUNCTIONAL MAGNETIC RESONANCE IMAGING; FUNCTIONAL NEUROIMAGING; FUSIFORM GYRUS; HUMAN; INFERIOR PARIETAL CORTEX; INFERIOR TEMPORAL GYRUS; LATERAL OCCIPITAL CORTEX; LINGUAL GYRUS; MEASUREMENT ACCURACY; MIDDLE FRONTAL GYRUS; MIDDLE TEMPORAL GYRUS; NUCLEAR MAGNETIC RESONANCE SCANNER; OCCIPITAL CORTEX; PARACENTRAL GYRUS; POSTCENTRAL GYRUS; PRECUNEUS; PRIMARY MOTOR CORTEX; PRIORITY JOURNAL; SIMULATION; SPATIOTEMPORAL ANALYSIS; SUPERIOR PARIETAL LOBULE; VISUOSPATIAL ATTENTION TASK; ASSOCIATION; ATTENTION; BIOLOGICAL MODEL; BLOOD; BRAIN; BRAIN MAPPING; COMPUTER SIMULATION; DEPTH PERCEPTION; DIAGNOSTIC IMAGING; FEMALE; HEMISPHERIC DOMINANCE; IMAGE PROCESSING; MALE; MOTOR ACTIVITY; NERVE TRACT; NONPARAMETRIC TEST; NUCLEAR MAGNETIC RESONANCE IMAGING; PHOTOSTIMULATION; PHYSIOLOGY; TIME FACTOR;

EID: 84986252853     PISSN: 10659471     EISSN: 10970193     Source Type: Journal    
DOI: 10.1002/hbm.23355     Document Type: Article
Times cited : (26)

References (96)
  • 3
    • 84858324284 scopus 로고    scopus 로고
    • Online linear and quadratic discriminant analysis with adaptive forgetting for streaming classification
    • Anagnostopoulos C, Tasoulis D, Adams N, Pavlidis N, Hand D (2012): Online linear and quadratic discriminant analysis with adaptive forgetting for streaming classification. Stat Anal Data Min 5:139–166.
    • (2012) Stat Anal Data Min , vol.5 , pp. 139-166
    • Anagnostopoulos, C.1    Tasoulis, D.2    Adams, N.3    Pavlidis, N.4    Hand, D.5
  • 6
    • 0038483826 scopus 로고    scopus 로고
    • Emergence of scaling in random networks
    • Barabási A, Albert R (1999): Emergence of scaling in random networks. Science 286:509–512.
    • (1999) Science , vol.286 , pp. 509-512
    • Barabási, A.1    Albert, R.2
  • 7
    • 33750466904 scopus 로고    scopus 로고
    • Small-world brain networks
    • Bassett D, Bullmore E (2006): Small-world brain networks. Neuroscientist 12:512–523.
    • (2006) Neuroscientist , vol.12 , pp. 512-523
    • Bassett, D.1    Bullmore, E.2
  • 11
    • 0029166541 scopus 로고
    • Functional connectivity in the motor cortex of resting human brain using echo-planar MRI
    • Biswal B, Zerrin V, Haughton Y, Hyde J (1995): Functional connectivity in the motor cortex of resting human brain using echo-planar MRI. Magn Reson Med 34:537–541.
    • (1995) Magn Reson Med , vol.34 , pp. 537-541
    • Biswal, B.1    Zerrin, V.2    Haughton, Y.3    Hyde, J.4
  • 14
    • 80051762104 scopus 로고    scopus 로고
    • Distributed optimization and statistical learning via the alternating direction method of multipliers
    • Boyd S, Parikh N, Chu E, Peleato B, Eckstein J (2010): Distributed optimization and statistical learning via the alternating direction method of multipliers. Found Trends Mach Learn 3:1–122.
    • (2010) Found Trends Mach Learn , vol.3 , pp. 1-122
    • Boyd, S.1    Parikh, N.2    Chu, E.3    Peleato, B.4    Eckstein, J.5
  • 15
    • 84874962149 scopus 로고    scopus 로고
    • Separable networks for top-down attention to auditory non-spatial and visuospatial modalities
    • Braga R, Wilson L, Sharp D, Wise R, Leech R (2013): Separable networks for top-down attention to auditory non-spatial and visuospatial modalities. Neuroimage 74:77–86.
    • (2013) Neuroimage , vol.74 , pp. 77-86
    • Braga, R.1    Wilson, L.2    Sharp, D.3    Wise, R.4    Leech, R.5
  • 16
    • 77952881705 scopus 로고    scopus 로고
    • Large-scale brain networks in cognition: Emerging methods and principles
    • Bressler S, Menon V (2010): Large-scale brain networks in cognition: Emerging methods and principles. Trends Cogn Sci 14:277–290.
    • (2010) Trends Cogn Sci , vol.14 , pp. 277-290
    • Bressler, S.1    Menon, V.2
  • 17
    • 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, Hedden T, Andrews-Hanna J, Sperling R, Johnson K (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    Hedden, T.6    Andrews-Hanna, J.7    Sperling, R.8    Johnson, K.9
  • 18
    • 80755188017 scopus 로고    scopus 로고
    • The organization of the human cerebellum estimated by intrinsic functional connectivity
    • Buckner R, Krienen F, Castellanos A, Diaz J, Yeo BT (2011): The organization of the human cerebellum estimated by intrinsic functional connectivity. J Neurophysiol 106:2322–2345.
    • (2011) J Neurophysiol , vol.106 , pp. 2322-2345
    • Buckner, R.1    Krienen, F.2    Castellanos, A.3    Diaz, J.4    Yeo, B.T.5
  • 19
    • 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. Nature 10:186–198.
    • (2009) Nature , vol.10 , pp. 186-198
    • Bullmore, E.1    Sporns, O.2
  • 20
    • 84908246606 scopus 로고    scopus 로고
    • The chronnectome: Time-varying connectivity networks as the next frontier in fMRI data discovery
    • Calhoun V, Miller R, Pearlson G, Adalı T (2014): The chronnectome: Time-varying connectivity networks as the next frontier in fMRI data discovery. Neuron 84:262–274.
    • (2014) Neuron , vol.84 , pp. 262-274
    • Calhoun, V.1    Miller, R.2    Pearlson, G.3    Adalı, T.4
  • 21
    • 65949090738 scopus 로고    scopus 로고
    • Frontoparietal cortex controls spatial attention through modulation of anticipatory alpha rhythms
    • Capotosto P, Babiloni C, Romani G, Corbetta M (2009): Frontoparietal cortex controls spatial attention through modulation of anticipatory alpha rhythms. J Neurosci 29:5863–5872.
    • (2009) J Neurosci , vol.29 , pp. 5863-5872
    • Capotosto, P.1    Babiloni, C.2    Romani, G.3    Corbetta, M.4
  • 22
    • 84911873040 scopus 로고    scopus 로고
    • Decreased segregation of brain systems across the healthy adult lifespan
    • Chan M, Park D, Savalia N, Petersen S, Wig G (2014): Decreased segregation of brain systems across the healthy adult lifespan. Proc Natl Acad Sci USA 111:E4997–E5006.
    • (2014) Proc Natl Acad Sci USA , vol.111 , pp. E4997-E5006
    • Chan, M.1    Park, D.2    Savalia, N.3    Petersen, S.4    Wig, G.5
  • 23
    • 75249093217 scopus 로고    scopus 로고
    • Time–frequency dynamics of resting-state brain connectivity measured with fMRI
    • Chang C, Glover G (2010): Time–frequency dynamics of resting-state brain connectivity measured with fMRI. Neuroimage 50:81–98.
    • (2010) Neuroimage , vol.50 , pp. 81-98
    • Chang, C.1    Glover, G.2
  • 24
    • 0036105349 scopus 로고    scopus 로고
    • Sustained attention deficit in bipolar disorder
    • Clark L, Iversen SD, Goodwin GM (2002): Sustained attention deficit in bipolar disorder. Br J Psychiatry 180:313–319.
    • (2002) Br J Psychiatry , vol.180 , pp. 313-319
    • Clark, L.1    Iversen, S.D.2    Goodwin, G.M.3
  • 25
    • 0036517313 scopus 로고    scopus 로고
    • Control of goal-directed and stimulus-driven attention in the brain
    • Corbetta M, Shulman G (2002): Control of goal-directed and stimulus-driven attention in the brain. Nat Rev Neurosci 3:201–215.
    • (2002) Nat Rev Neurosci , vol.3 , pp. 201-215
    • Corbetta, M.1    Shulman, G.2
  • 26
    • 42949117916 scopus 로고    scopus 로고
    • The reorienting system of the human brain: From environment to theory of mind
    • Corbetta M, Patel G, Shulman G (2008): The reorienting system of the human brain: From environment to theory of mind. Neuron 58:306–324.
    • (2008) Neuron , vol.58 , pp. 306-324
    • Corbetta, M.1    Patel, G.2    Shulman, G.3
  • 27
    • 0028854356 scopus 로고
    • Real-time functional magnetic resonance imaging
    • Cox R, Jesmanowicz A, Hyde J (1995): Real-time functional magnetic resonance imaging. Magn Reson Med 33:230–236.
    • (1995) Magn Reson Med , vol.33 , pp. 230-236
    • Cox, R.1    Jesmanowicz, A.2    Hyde, J.3
  • 28
    • 84861338060 scopus 로고    scopus 로고
    • Dynamic Connectivity Regression: Determining state-related changes in brain connectivity
    • Cribben I, Haraldsdottir R, Atlas YL, Wager TD, Lindquist MA (2012): Dynamic Connectivity Regression: Determining state-related changes in brain connectivity. NeuroImage 61:907–920.
    • (2012) NeuroImage , vol.61 , pp. 907-920
    • Cribben, I.1    Haraldsdottir, R.2    Atlas, Y.L.3    Wager, T.D.4    Lindquist, M.A.5
  • 30
    • 49949099765 scopus 로고    scopus 로고
    • Applications of real-time fMRI
    • deCharms C (2008): Applications of real-time fMRI. Nat Rev Neurosci 9:720–729.
    • (2008) Nat Rev Neurosci , vol.9 , pp. 720-729
    • deCharms, C.1
  • 36
    • 84895058199 scopus 로고    scopus 로고
    • Divergent task-dependent functional connectivity of executive control and salience networks
    • Elton A, Gao W (2014): Divergent task-dependent functional connectivity of executive control and salience networks. Cortex 51:56–66.
    • (2014) Cortex , vol.51 , pp. 56-66
    • Elton, A.1    Gao, W.2
  • 38
    • 84864497113 scopus 로고    scopus 로고
    • Competitive and cooperative dynamics of large-scale brain functional networks supporting recollection
    • Fornito A, Harrison B, Zalesky A, Simons J (2012): Competitive and cooperative dynamics of large-scale brain functional networks supporting recollection. Proc Natl Acad Sci USA 109:12788–12793.
    • (2012) Proc Natl Acad Sci USA , vol.109 , pp. 12788-12793
    • Fornito, A.1    Harrison, B.2    Zalesky, A.3    Simons, J.4
  • 39
    • 0028190347 scopus 로고
    • Functional and effective connectivity in neuroimaging: A synthesis
    • Friston K (1994): Functional and effective connectivity in neuroimaging: A synthesis. Hum Brain Mapp 2:56–78.
    • (1994) Hum Brain Mapp , vol.2 , pp. 56-78
    • Friston, K.1
  • 41
    • 0033956229 scopus 로고    scopus 로고
    • Functional magnetic resonance imaging in real time (fire): Sliding-window correlation analysis and reference-vector optimization
    • Gembris D, Taylor J, Schor S, Frings W, Suter D, Posse S (2000): Functional magnetic resonance imaging in real time (fire): Sliding-window correlation analysis and reference-vector optimization. Magn Reson Med 43:259–268.
    • (2000) Magn Reson Med , vol.43 , pp. 259-268
    • Gembris, D.1    Taylor, J.2    Schor, S.3    Frings, W.4    Suter, D.5    Posse, S.6
  • 43
    • 56649116090 scopus 로고    scopus 로고
    • Superior temporal sulcus—it’s my area: Or is it? J
    • Hein G, Knight R (2008): Superior temporal sulcus—it’s my area: Or is it? J Cogn Neurosci 20:2125–2136.
    • (2008) Cogn Neurosci , vol.20 , pp. 2125-2136
    • Hein, G.1    Knight, R.2
  • 44
    • 0002294347 scopus 로고
    • A simple sequentially rejective multiple test procedure
    • Holm S (1979): A simple sequentially rejective multiple test procedure. Scand J Stat 6:65–70.
    • (1979) Scand J Stat , vol.6 , pp. 65-70
    • Holm, S.1
  • 45
    • 0000669122 scopus 로고
    • The exponentially weighted moving average
    • Hunter JS (1986): The exponentially weighted moving average. J Qual Technol 18:203–210.
    • (1986) J Qual Technol , vol.18 , pp. 203-210
    • Hunter, J.S.1
  • 47
    • 0036425968 scopus 로고    scopus 로고
    • Improved optimization for the robust and accurate linear registration and motion correction of brain images
    • Jenkinson M, Bannister P, Brady M, Smith S (2002): Improved optimization for the robust and accurate linear registration and motion correction of brain images. Neuroimage 17:825–841.
    • (2002) Neuroimage , vol.17 , pp. 825-841
    • Jenkinson, M.1    Bannister, P.2    Brady, M.3    Smith, S.4
  • 48
    • 84937500856 scopus 로고    scopus 로고
    • Transient brain activity disentangles fMRI resting-state dynamics in terms of spatially and temporally overlapping networks
    • Karahanoglu F, Van de Ville D (2015): Transient brain activity disentangles fMRI resting-state dynamics in terms of spatially and temporally overlapping networks. Nat Commun 6.
    • (2015) Nat Commun , vol.6
    • Karahanoglu, F.1    Van de Ville, D.2
  • 50
    • 79955003759 scopus 로고    scopus 로고
    • Decoding fMRI brain states in real-time
    • LaConte S (2011): Decoding fMRI brain states in real-time. Neuroimage 56:440–454.
    • (2011) Neuroimage , vol.56 , pp. 440-454
    • LaConte, S.1
  • 51
    • 35148882447 scopus 로고    scopus 로고
    • Real-time fMRI using brain-state classification
    • LaConte S, Peltier S, Hu X (2007): Real-time fMRI using brain-state classification. Hum Brain Mapp 28:1033–1044.
    • (2007) Hum Brain Mapp , vol.28 , pp. 1033-1044
    • LaConte, S.1    Peltier, S.2    Hu, X.3
  • 55
    • 33947731227 scopus 로고    scopus 로고
    • Modeling state-related changes in fMRI activity using change-point theory
    • Lindquist M, Waugh C, Wager T (2007): Modeling state-related changes in fMRI activity using change-point theory. NeuroImage 5:1125–1141.
    • (2007) NeuroImage , vol.5 , pp. 1125-1141
    • Lindquist, M.1    Waugh, C.2    Wager, T.3
  • 56
    • 84907022675 scopus 로고    scopus 로고
    • Evaluating dynamic bivariate correlations in resting-state fMRI: A comparison study and a new approach
    • Lindquist M, Xu Y, Nebel M, Caffo B (2014): Evaluating dynamic bivariate correlations in resting-state fMRI: A comparison study and a new approach. NeuroImage 101:531–546.
    • (2014) NeuroImage , vol.101 , pp. 531-546
    • Lindquist, M.1    Xu, Y.2    Nebel, M.3    Caffo, B.4
  • 58
    • 84957078157 scopus 로고    scopus 로고
    • The automatic neuroscientist: A framework for optimizing experimental design with closed-loop real-time fMRI
    • Lorenz R, Monti RP, Violante IR, Anagnostopoulos C, Faisal A, Montana G, Leech R (2016a): The automatic neuroscientist: A framework for optimizing experimental design with closed-loop real-time fMRI. NeuroImage 129:320–334.
    • (2016) NeuroImage , vol.129 , pp. 320-334
    • Lorenz, R.1    Monti, R.P.2    Violante, I.R.3    Anagnostopoulos, C.4    Faisal, A.5    Montana, G.6    Leech, R.7
  • 60
    • 82155191306 scopus 로고    scopus 로고
    • Automatic identification of functional clusters in fMRI data using spatial dependence
    • Ma S, Correa NM, Li XL, Eichele T, Calhoun VD, Adali T (2011): Automatic identification of functional clusters in fMRI data using spatial dependence. IEEE Trans Biomed Eng 58:3406–3417.
    • (2011) IEEE Trans Biomed Eng , vol.58 , pp. 3406-3417
    • Ma, S.1    Correa, N.M.2    Li, X.L.3    Eichele, T.4    Calhoun, V.D.5    Adali, T.6
  • 61
    • 61449192343 scopus 로고    scopus 로고
    • Large-scale neural model validation of partial correlation analysis for effective connectivity investigation in functional MRI
    • Marrelec G, Kim J, Doyon J, Horwitz B (2009): Large-scale neural model validation of partial correlation analysis for effective connectivity investigation in functional MRI. Hum Brain Mapp 30:941–950.
    • (2009) Hum Brain Mapp , vol.30 , pp. 941-950
    • Marrelec, G.1    Kim, J.2    Doyon, J.3    Horwitz, B.4
  • 63
  • 67
    • 84887291519 scopus 로고    scopus 로고
    • Structural and functional brain networks: From connections to cognition
    • Park H-J, Friston K (2013): Structural and functional brain networks: From connections to cognition. Science 342:1238411.
    • (2013) Science , vol.342 , pp. 1238411
    • Park, H.-J.1    Friston, K.2
  • 71
    • 84946637626 scopus 로고
    • Control chart tests based on geometric moving averages
    • Roberts S (1959): Control chart tests based on geometric moving averages. Technometrics 1:239–250.
    • (1959) Technometrics , vol.1 , pp. 239-250
    • Roberts, S.1
  • 72
    • 70749158247 scopus 로고    scopus 로고
    • Change point estimation in multi-subject fMRI studies
    • Robinson L, Wager T, Lindquist M (2010): Change point estimation in multi-subject fMRI studies. NeuroImage 49:1581–1592.
    • (2010) NeuroImage , vol.49 , pp. 1581-1592
    • Robinson, L.1    Wager, T.2    Lindquist, M.3
  • 73
    • 84921314136 scopus 로고    scopus 로고
    • Dynamic functional connectivity using state-based dynamic community structure: Method and application to opioid analgesia
    • Robinson L, Atlas L, Wager T (2015): Dynamic functional connectivity using state-based dynamic community structure: Method and application to opioid analgesia. NeuroImage 108:274–291.
    • (2015) NeuroImage , vol.108 , pp. 274-291
    • Robinson, L.1    Atlas, L.2    Wager, T.3
  • 74
    • 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
  • 75
    • 84892525659 scopus 로고    scopus 로고
    • Real-time fMRI brain computer interfaces: Self-regulation of single brain regions to networks
    • Ruiz S, Buyukturkoglu K, Rana M, Birbaumer N, Sitaram R (2014): Real-time fMRI brain computer interfaces: Self-regulation of single brain regions to networks. Biol Psychol 95:4–20.
    • (2014) Biol Psychol , vol.95 , pp. 4-20
    • Ruiz, S.1    Buyukturkoglu, K.2    Rana, M.3    Birbaumer, N.4    Sitaram, R.5
  • 76
    • 84855282767 scopus 로고    scopus 로고
    • Estimation of functional connectivity in fMRI data using stability selection-based sparse partial correlation with elastic net penalty
    • Ryali S, Chen T, Supekar K, Menon V (2012): Estimation of functional connectivity in fMRI data using stability selection-based sparse partial correlation with elastic net penalty. Neuroimage 59:3852–3861.
    • (2012) Neuroimage , vol.59 , pp. 3852-3861
    • Ryali, S.1    Chen, T.2    Supekar, K.3    Menon, V.4
  • 78
    • 84925235540 scopus 로고    scopus 로고
    • Exploring spatiotemporal network transitions in task functional MRI
    • Scott G, Hellyer P, Hampshire A, Leech R (2015): Exploring spatiotemporal network transitions in task functional MRI. Hum Brain Mapp 1348–1364.
    • (2015) Hum Brain Mapp , pp. 1348-1364
    • Scott, G.1    Hellyer, P.2    Hampshire, A.3    Leech, R.4
  • 80
    • 0036828879 scopus 로고    scopus 로고
    • Fast robust automated brain extraction
    • Smith S (2002): Fast robust automated brain extraction. Hum Brain Mapp 17:143–155.
    • (2002) Hum Brain Mapp , vol.17 , pp. 143-155
    • Smith, S.1
  • 85
    • 4444318641 scopus 로고    scopus 로고
    • Organization, development and function of complex brain networks
    • Sporns O, Chialvo DR, Kaiser M, Hilgetag CC (2004): Organization, development and function of complex brain networks. Trends Cogn Sci 8:418–425.
    • (2004) Trends Cogn Sci , vol.8 , pp. 418-425
    • Sporns, O.1    Chialvo, D.R.2    Kaiser, M.3    Hilgetag, C.C.4
  • 87
    • 77953961776 scopus 로고    scopus 로고
    • Exploring the brain network: A review on resting-state fMRI functional connectivity
    • Van Den Heuvel M, Pol H (2010): Exploring the brain network: A review on resting-state fMRI functional connectivity. Eur Neuropsychopharmacol 20:519–534.
    • (2010) Eur Neuropsychopharmacol , vol.20 , pp. 519-534
    • Van Den Heuvel, M.1    Pol, H.2
  • 89
    • 84880327399 scopus 로고    scopus 로고
    • Learning and comparing functional connectomes across subjects
    • Varoquaux G, Craddock RC. (2013): Learning and comparing functional connectomes across subjects. NeuroImage 80:405–415.
    • (2013) NeuroImage , vol.80 , pp. 405-415
    • Varoquaux, G.1    Craddock, R.C.2
  • 91
    • 0032482432 scopus 로고    scopus 로고
    • Collective dynamics of small-world networks
    • Watts DJ, Strogatz SH (1998): Collective dynamics of small-world networks. Nature 393:440–442.
    • (1998) Nature , vol.393 , pp. 440-442
    • Watts, D.J.1    Strogatz, S.H.2
  • 92
    • 84863000965 scopus 로고    scopus 로고
    • Real-time fMRI and its application to neurofeedback
    • Weiskopf N (2012): Real-time fMRI and its application to neurofeedback. Neuroimage 62:682–692.
    • (2012) Neuroimage , vol.62 , pp. 682-692
    • Weiskopf, N.1
  • 93
    • 67651033257 scopus 로고    scopus 로고
    • Correlations and anticorrelations in resting-state functional connectivity MRI: A quantitative comparison of preprocessing strategies
    • Weissenbacher A, Kassess 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 1408–1416.
    • (2009) NeuroImage , pp. 1408-1416
    • Weissenbacher, A.1    Kassess, C.2    Gerstl, F.3    Lanzenberger, R.4    Moser, E.5    Windischberger, C.6
  • 96
    • 84899415802 scopus 로고    scopus 로고
    • Windowed correlation: A suitable tool for providing dynamic fMRI-based functional connectivity neurofeedback on task difficulty
    • Zilverstand A, Sorger B, Zimmermann J, Kaas A, Goebel R (2014): Windowed correlation: A suitable tool for providing dynamic fMRI-based functional connectivity neurofeedback on task difficulty. PloS One 9:e85929.
    • (2014) PloS One , vol.9
    • Zilverstand, A.1    Sorger, B.2    Zimmermann, J.3    Kaas, A.4    Goebel, R.5


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.