Opportunities and methodological challenges in EEG and MEG resting state functional brain network research
Open accessAbstract
Electroencephalogram (EEG) and magnetoencephalogram (MEG) recordings during resting state are increasingly used to study functional connectivity and network topology. Moreover, the number of different analysis approaches is expanding along with the rising interest in this research area. The comparison between studies can therefore be challenging and discussion is needed to underscore methodological opportunities and pitfalls in functional connectivity and network studies. In this overview we discuss methodological considerations throughout the analysis pipeline of recording and analyzing resting state EEG and MEG data, with a focus on functional connectivity and network analysis. We summarize current common practices with their advantages and disadvantages; provide practical tips, and suggestions for future research. Finally, we discuss how methodological choices in resting state research can affect the construction of functional networks. When taking advantage of current best practices and avoid the most obvious pitfalls, functional connectivity and network studies can be improved and enable a more accurate interpretation and comparison between studies.
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The eyes-closed condition improves EEG reliability.
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Cites
Collective dynamics of ‘small-world’ networks
Watts, D. J., & Strogatz, S. H. (1998) · Nature · doi:10.1038/30918 · Cited by 43,060 · see citing works
Investigating causal relations by econometric models and cross-spectral methods
Granger, C. W. J. (1969) · Econometrica · doi:10.2307/1912791 · Cited by 22,989 · see citing works
Modularity and community structure in networks
Newman, M. E. J. (2006) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0601602103 · Cited by 12,256 · see citing works
A default mode of brain function
Raichle, M. E., MacLeod, A. M., Snyder, A. Z., Powers, W. J., Gusnard, D. A., & Shulman, G. L. (2001) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.98.2.676 · Cited by 12,190 · see citing works
Complex brain networks: graph theoretical analysis of structural and functional systems
Bullmore, E., & Sporns, O. (2009) · Nature Reviews Neuroscience · doi:10.1038/nrn2575 · Cited by 11,820 · see citing works
Complex network measures of brain connectivity: Uses and interpretations
Rubinov, M., & Sporns, O. (2010) · NeuroImage · doi:10.1016/j.neuroimage.2009.10.003 · Cited by 11,522 · see citing works
Functional connectivity in the motor cortex of resting human brain using echo‐planar mri
Biswal, B., Zerrin Yetkin, F., Haughton, V. M., & Hyde, J. S. (1995) · Magnetic Resonance in Medicine · doi:10.1002/mrm.1910340409 · Cited by 9,812 · see citing works
EEG alpha and theta oscillations reflect cognitive and memory performance: a review and analysis
Klimesch, W. (1999) · Brain Research Reviews · doi:10.1016/s0165-0173(98)00056-3 · Cited by 6,889 · see citing works
Functional connectivity in the resting brain: a network analysis of the default mode hypothesis
Greicius, M. D., Krasnow, B., Reiss, A. L., & Menon, V. (2003) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0135058100 · Cited by 6,358 · see citing works
The brainweb: phase synchronization and large-scale integration
Varela, F., Lachaux, J.-P., Rodriguez, E., & Martinerie, J. (2001) · Nature Reviews Neuroscience · doi:10.1038/35067550 · Cited by 4,761 · see citing works
Independent coordinates for strange attractors from mutual information
Fraser, A. M., & Swinney, H. L. (1986) · Physical Review A · doi:10.1103/physreva.33.1134 · Cited by 4,637 · see citing works
Consistent resting-state networks across healthy subjects
Damoiseaux, J. S., Rombouts, S. A. R. B., Barkhof, F., Scheltens, P., Stam, C. J., Smith, S. M., & Beckmann, C. F. (2006) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0601417103 · Cited by 4,326 · see citing works
Self-citationÜber das Elektrenkephalogramm des Menschen
Berger, H. (1929) · European Archives of Psychiatry and Clinical Neuroscience · doi:10.1007/bf01797193 · Cited by 4,266 · see citing works
Electroencephalography—Basic principles, clinical applications and related fields
(1982) · Journal of the Autonomic Nervous System · doi:10.1016/0165-1838(82)90067-4 · Cited by 3,449 · see citing works
Functional and Effective Connectivity: A Review
Friston, K. J. (2011) · Brain Connectivity · doi:10.1089/brain.2011.0008 · Cited by 3,415 · see citing works
Pascual-Marqui, R. D., Michel, C. M., & Lehmann, D. (1994) · International Journal of Psychophysiology · doi:10.1016/0167-8760(84)90014-x · Cited by 2,869 · see citing works
The synchronization of chaotic systems
Boccaletti, S., Kurths, J., Osipov, G. V., Valladares, D. L., & Zhou, C. S. (2002) · Physics Reports · doi:10.1016/s0370-1573(02)00137-0 · Cited by 2,763 · see citing works
Network-based statistic: identifying differences in brain networks
Zalesky, A., Fornito, A., & Bullmore, E. T. (2010) · NeuroImage · doi:10.1016/j.neuroimage.2010.06.041 · Cited by 2,750 · see citing works
Functional and effective connectivity in neuroimaging: a synthesis
Friston, K. J. (1994) · Human Brain Mapping · doi:10.1002/hbm.460020107 · Cited by 2,452 · see citing works
Electric Fields of the Brain: The Neurophysics of EEG
Nunez, P. L., & Harth, E. M. (1982) · Physics Today · doi:10.1063/1.2915137 · Cited by 2,296 · see citing works
Network hubs in the human brain
van den Heuvel, M. P., & Sporns, O. (2013) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2013.09.012 · Cited by 2,123 · see citing works
Organization, development and function of complex brain networks
SPORNS, O., CHIALVO, D., KAISER, M., & HILGETAG, C. (2004) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2004.07.008 · Cited by 2,055 · see citing works
Stam, C. J., Nolte, G., & Daffertshofer, A. (2007) · Human Brain Mapping · doi:10.1002/hbm.20346 · Cited by 2,024 · see citing works
Self-citationBasic mathematical and electromagnetic concepts of the biomagnetic inverse problem.
Sarvas, J. (1987) · Physics in Medicine and Biology · doi:10.1088/0031-9155/32/1/004 · Cited by 1,945 · see citing works
Common blood flow changes across visual tasks: II. Decreases in cerebral cortex
Shulman, G. L., Fiez, J. A., Corbetta, M., Buckner, R. L., Miezin, F. M., Raichle, M. E., & Petersen, S. E. (1997) · Journal of Cognitive Neuroscience · doi:10.1162/jocn.1997.9.5.648 · Cited by 1,890 · see citing works
Electroencephalography: Basic Principles, Clinical Applications and Related Fields
Torres, F. (1983) · Archives of Neurology · doi:10.1001/archneur.1983.04050030085025 · Cited by 1,825 · see citing works
Emerging concepts for the dynamical organization of resting-state activity in the brain
Deco, G., Jirsa, V. K., & McIntosh, A. R. (2011) · Nature reviews. Neuroscience · doi:10.1038/nrn2961 · Cited by 1,798 · see citing works
Partial directed coherence: a new concept in neural structure determination
Baccalá, L. A., & Sameshima, K. (2001) · Biological Cybernetics · doi:10.1007/pl00007990 · Cited by 1,791 · see citing works
Delorme, A., Sejnowski, T., & Makeig, S. (2007) · NeuroImage · doi:10.1016/j.neuroimage.2006.11.004 · Cited by 1,759 · see citing works
Identifying true brain interaction from EEG data using the imaginary part of coherency
Nolte, G., Bai, O., Wheaton, L., Mari, Z., Vorbach, S., & Hallett, M. (2004) · Clinical Neurophysiology · doi:10.1016/j.clinph.2004.04.029 · Cited by 1,756 · see citing works
Vinck, M., Oostenveld, R., van Wingerden, M., Battaglia, F., & Pennartz, C. M. A. (2011) · NeuroImage · doi:10.1016/j.neuroimage.2011.01.055 · Cited by 1,753 · see citing works
Baillet, S., Mosher, J. C., & Leahy, R. M. (2001) · IEEE Signal Processing Magazine · doi:10.1109/79.962275 · Cited by 1,691 · see citing works
Network structure of cerebral cortex shapes functional connectivity on multiple time scales
Honey, C. J., Kötter, R., Breakspear, M. J., & Sporns, O. (2007) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0701519104 · Cited by 1,683 · see citing works
On noise in the nervous system.
Pinneo, L. (1966) · Psychology Review · doi:10.1037/h0023240 · Cited by 1,591 · see citing works
Electric Fields of the Brain: The Neurophysics of EEG
Fermaglich, J. (1982) · JAMA · doi:10.1001/jama.1982.03320380071046 · Cited by 1,560 · see citing works
Nonlinear dynamical analysis of EEG and MEG: Review of an emerging field
Stam, C. J. (2005) · Clinical Neurophysiology · doi:10.1016/j.clinph.2005.06.011 · Cited by 1,410 · see citing works
Self-citationModern network science of neurological disorders
Stam, C. J. (2014) · Nature reviews. Neuroscience · doi:10.1038/nrn3801 · Cited by 1,284 · see citing works
Self-citationSmall-World Networks and Functional Connectivity in Alzheimer's Disease
Stam, C. J., Jones, B. F., Nolte, G., Breakspear, M. J., & Scheltens, P. (2006) · Cerebral Cortex · doi:10.1093/cercor/bhj127 · Cited by 1,265 · see citing works
Self-citationNunez, P. L., Srinivasan, R., Westdorp, A. F., Wijesinghe, R. S., Tucker, D. M., Silberstein, R. B., & Cadusch, P. J. (1997) · Electroencephalography and Clinical Neurophysiology · doi:10.1016/s0013-4694(97)00066-7 · Cited by 1,230 · see citing works
Gamma, alpha, delta, and theta oscillations govern cognitive processes
Başar, E., Başar‐Eroğlu, C., Karakaş, S., & Schürmann, M. (2001) · International Journal of Psychophysiology · doi:10.1016/s0167-8760(00)00145-8 · Cited by 1,219 · see citing works
Resting-state functional connectivity in neuropsychiatric disorders
Greicius, M. (2008) · Current Opinion in Neurology · doi:10.1097/wco.0b013e328306f2c5 · Cited by 1,180 · see citing works
Comparing Brain Networks of Different Size and Connectivity Density Using Graph Theory
van Wijk, B. C. M., Stam, C. J., & Daffertshofer, A. (2010) · PLoS ONE · doi:10.1371/journal.pone.0013701 · Cited by 1,161 · see citing works
Self-citationLarge-scale cortical correlation structure of spontaneous oscillatory activity
Hipp, J. F., Hawellek, D. J., Corbetta, M., Siegel, M., & Engel, A. K. (2012) · Nature Neuroscience · doi:10.1038/nn.3101 · Cited by 1,113 · see citing works
Dynamics of neuronal firing correlation: modulation of "effective connectivity"
Aertsen, A. M. H. J., Gerstein, G. L., Habib, M., & Palm, G. (1989) · Journal of Neurophysiology · doi:10.1152/jn.1989.61.5.900 · Cited by 1,073 · see citing works
Nonlinear multivariate analysis of neurophysiological signals
Pereda, E., Quiroga, R. Q., & Bhattacharya, J. (2005) · Progress in Neurobiology · doi:10.1016/j.pneurobio.2005.10.003 · Cited by 1,066 · see citing works
A new method of the description of the information flow in the brain structures
Kaminski, M. J., & Blinowska, K. J. (1991) · Biological Cybernetics · doi:10.1007/bf00198091 · Cited by 1,047 · see citing works
An on-line transformation of EEG scalp potentials into orthogonal source derivations
Hjorth, B. (1975) · Electroencephalography and Clinical Neurophysiology · doi:10.1016/0013-4694(75)90056-5 · Cited by 1,014 · see citing works
Helmholtz, H. (1853) · Annalen der Physik · doi:10.1002/andp.18531650603 · Cited by 989 · see citing works
Investigating the electrophysiological basis of resting state networks using magnetoencephalography
Brookes, M. J., Woolrich, M., Luckhoo, H., Price, D., Hale, J. R., Stephenson, M. C., Barnes, G. R., Smith, S. M., & Morris, P. G. (2011) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1112685108 · Cited by 938 · see citing works
EEG and MEG: Relevance to Neuroscience
Lopes da Silva, F. (2013) · Neuron · doi:10.1016/j.neuron.2013.10.017 · Cited by 900 · see citing works
Human brain networks in health and disease
Bassett, D. S., & Bullmore, E. T. (2009) · Current Opinion in Neurology · doi:10.1097/wco.0b013e32832d93dd · Cited by 894 · see citing works
Source connectivity analysis with MEG and EEG
Schoffelen, J., & Groß, J. (2009) · Human Brain Mapping · doi:10.1002/hbm.20745 · Cited by 854 · see citing works
Wiener–Granger Causality: A well established methodology
Bressler, S. L., & Seth, A. K. (2010) · NeuroImage · doi:10.1016/j.neuroimage.2010.02.059 · Cited by 852 · see citing works
Transient induced gamma-band response in EEG as a manifestation of miniature saccades
Yuval-Greenberg, S., Tomer, O., Keren, A. S., Nelken, I., & Deouell, L. Y. (2008) · Neuron · doi:10.1016/j.neuron.2008.03.027 · Cited by 776 · see citing works
Towards the utilization of EEG as a brain imaging tool
Michel, C., & Murray, M. M. (2012) · NeuroImage · doi:10.1016/j.neuroimage.2011.12.039 · Cited by 757 · see citing works
Removal of ocular artifact from the EEG: a review
Croft, R. J., & Barry, R. J. (2000) · Neurophysiologie Clinique · doi:10.1016/s0987-7053(00)00055-1 · Cited by 751 · see citing works
Good practice for conducting and reporting MEG research
Groß, J., Baillet, S., Barnes, G. R., Henson, R. N., Hillebrand, A., Jensen, O. B., Jerbi, K., Vladimir Litvak, A., Maeß, B., Oostenveld, R., et al. (2012) · NeuroImage · doi:10.1016/j.neuroimage.2012.10.001 · Cited by 717 · see citing works
Self-citationHigh-Frequency Brain Activity and Muscle Artifacts in MEG/EEG: A Review and Recommendations
Muthukumaraswamy, S. D. (2013) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2013.00138 · Cited by 697 · see citing works
Pivik, R. T., Broughton, R., Coppola, R., Davidson, R. J., Fox, N. A., & Nuwer, M. R. (1993) · Psychophysiology · doi:10.1111/j.1469-8986.1993.tb02081.x · Cited by 677 · see citing works
Issues and assumptions on the road from raw signals to metrics of frontal EEG asymmetry in emotion
Allen, J. J. B., Coan, J. A., & Nazarian, M. (2004) · Biological Psychology · doi:10.1016/j.biopsycho.2004.03.007 · Cited by 640 · see citing works
Stam, C. J., & van Dijk, B. W. (2002) · Physica D Nonlinear Phenomena · doi:10.1016/s0167-2789(01)00386-4 · Cited by 634 · see citing works
Self-citationCandès, E. J. (2007) · Proceedings of the International Congress of Mathematicians Madrid, August 22–30, 2006 · doi:10.4171/022-3/69 · Cited by 614 · see citing works
Human EEG gamma oscillations in neuropsychiatric disorders
Herrmann, C. S., & Demıralp, T. (2005) · Clinical Neurophysiology · doi:10.1016/j.clinph.2005.07.007 · Cited by 600 · see citing works
Robustly Estimating the Flow Direction of Information in Complex Physical Systems
Nolte, G., Ziehe, A., Nikulin, V. V., Schlögl, A., Krämer, N., Brismar, T., & Müller, K. (2008) · Physical Review Letters · doi:10.1103/physrevlett.100.234101 · Cited by 595 · see citing works
Remembering the past: two facets of episodic memory explored with positron emission tomography
(1995) · American Journal of Psychiatry · doi:10.1176/ajp.152.11.1576 · Cited by 593 · see citing works
A method to standardize a reference of scalp EEG recordings to a point at infinity
Yao, D. (2001) · Physiological Measurement · doi:10.1088/0967-3334/22/4/305 · Cited by 585 · see citing works
The organization of physiological brain networks
Stam, C. J., & van Straaten, E. C. W. (2012) · Clinical Neurophysiology · doi:10.1016/j.clinph.2012.01.011 · Cited by 565 · see citing works
Self-citationSlow cortical dynamics and the accumulation of information over long timescales
Honey, C. J., Thesen, T., Donner, T. H., Silbert, L. J., Carlson, C. E., Devinsky, O., Doyle, W. K., Rubin, N., Heeger, D. J., & Hasson, U. (2012) · Neuron · doi:10.1016/j.neuron.2012.08.011 · Cited by 532 · see citing works
Whitham, E. M., Pope, K. J., Fitzgibbon, S. P., Lewis, T., Clark, C. R., Loveless, S., Broberg, M., Wallace, A., DeLosAngeles, D., Lillie, P., et al. (2007) · Clinical Neurophysiology · doi:10.1016/j.clinph.2007.04.027 · Cited by 524 · see citing works
Resting-state brain networks: literature review and clinical applications
Rosazza, C., & Minati, L. (2011) · Neurological Sciences · doi:10.1007/s10072-011-0636-y · Cited by 509 · see citing works
Eigenvector-centrality — a node-centrality?
Ruhnau, B. (2000) · Social Networks · doi:10.1016/s0378-8733(00)00031-9 · Cited by 508 · see citing works
Eigenvector Centrality Mapping for Analyzing Connectivity Patterns in fMRI Data of the Human Brain
Lohmann, G., Margulies, D. S., Horstmann, A., Pleger, B., Lepsien, J., Goldhahn, D., Schloegl, H., Stümvoll, M., Villringer, A., & Turner, R. (2010) · PLoS ONE · doi:10.1371/journal.pone.0010232 · Cited by 505 · see citing works
`Paradoxical' alpha synchronization in a memory task
Klimesch, W., Doppelmayr, M. M., Schwaiger, J., Auinger, P., & Winkler, T. (1999) · Cognitive Brain Research · doi:10.1016/s0926-6410(98)00056-1 · Cited by 449 · see citing works
Hillebrand, A., Barnes, G. R., Bosboom, J. L., Berendse, H. W., & Stam, C. J. (2012) · NeuroImage · doi:10.1016/j.neuroimage.2011.11.005 · Cited by 416 · see citing works
Self-citationEpileptic source localization with high density EEG: how many electrodes are needed?
Lantz, G., Grave de Peralta, R., Spinelli, L., Seeck, M., & Michel, C. M. (2003) · Clinical Neurophysiology · doi:10.1016/s1388-2457(02)00337-1 · Cited by 413 · see citing works
de Haan, W., Pijnenburg, Y. A. L., STRIJERS, R. L. M., van der Made, Y., van der Flier, W. M., Scheltens, P., & Stam, C. J. (2009) · BMC Neuroscience · doi:10.1186/1471-2202-10-101 · Cited by 404 · see citing works
Self-citationEEG Measures of Cerebral Asymmetry: Conceptual and Methodological Issues
Davidson, R. J. (1988) · International Journal of Neuroscience · doi:10.3109/00207458808985694 · Cited by 387 · see citing works
Hesse, W., Möller, E., Arnold, M., & Schack, B. (2003) · Journal of Neuroscience Methods · doi:10.1016/s0165-0270(02)00366-7 · Cited by 382 · see citing works
Brookes, M. J., Woolrich, M. W., & Barnes, G. R. (2012) · NeuroImage · doi:10.1016/j.neuroimage.2012.03.048 · Cited by 379 · see citing works
Volume conduction effects in EEG and MEG
van den Broek, S. P., Reinders, F., Donderwinkel, M., & Peters, M. J. (1998) · Electroencephalography and Clinical Neurophysiology · doi:10.1016/s0013-4694(97)00147-8 · Cited by 359 · see citing works
The role of physiological noise in resting-state functional connectivity
Birn, R. M. (2012) · NeuroImage · doi:10.1016/j.neuroimage.2012.01.016 · Cited by 357 · see citing works
EEG-vigilance and BOLD effect during simultaneous EEG/fMRI measurement
Olbrich, S., Mulert, C., Karch, S., Trenner, M. U., Leicht, G., Pogarell, O. M., & Hegerl, U. (2008) · NeuroImage · doi:10.1016/j.neuroimage.2008.11.014 · Cited by 356 · see citing works
The trees and the forest: Characterization of complex brain networks with minimum spanning trees
Stam, C. J., Tewarie, P. K. B., van Dellen, E., van Straaten, E. C. W., Hillebrand, A., & Mieghem, P. V. (2014) · International Journal of Psychophysiology · doi:10.1016/j.ijpsycho.2014.04.001 · Cited by 354 · see citing works
Self-citationStimulus-independent thought depends on central executive resources
Teasdale, J. D., Dritschel, B. H., Taylor, M. J., Proctor, L., Lloyd, C. A., Nimmo-Smith, I., & Baddeley, A. D. (1995) · Memory & Cognition · doi:10.3758/bf03197257 · Cited by 341 · see citing works
Evaluation of different measures of functional connectivity using a neural mass model
Olivier David, A., Cosmelli, D. J., & Friston, K. J. (2003) · NeuroImage · doi:10.1016/j.neuroimage.2003.10.006 · Cited by 339 · see citing works
Graph analysis of epileptogenic networks in human partial epilepsy
Wilke, C. T., Worrell, G. A., & He, B. (2010) · Epilepsia · doi:10.1111/j.1528-1167.2010.02785.x · Cited by 335 · see citing works
A New Measure of Centrality for Brain Networks
Joyce, K. E., Laurienti, P. J., Burdette, J. H., & Hayasaka, S. (2010) · PLoS ONE · doi:10.1371/journal.pone.0012200 · Cited by 307 · see citing works
Test-retest reliability of spectral parameters of the EEG
Gasser, T., Bächer, P., & Steinberg, H.-W. (1985) · Electroencephalography and Clinical Neurophysiology · doi:10.1016/0013-4694(85)90005-7 · Cited by 290 · see citing works
Beamformer Analysis of MEG Data
Hillebrand, A., & Barnes, G. R. (2005) · International review of neurobiology · doi:10.1016/s0074-7742(05)68006-3 · Cited by 286 · see citing works
Self-citationBartolomei, F., Bosma, I., Klein, M., Baayen, J. C., Reijneveld, J. C., Postma, T. J., Heimans, J. J., van Dijk, B. W., de Munck, J. C., de Jongh, A., et al. (2006) · Clinical Neurophysiology · doi:10.1016/j.clinph.2006.05.018 · Cited by 276 · see citing works
Self-citationTest-retest reliability in EEG frequency analysis
Salinsky, M., Oken, B., & Morehead, L. (1991) · Electroencephalography and Clinical Neurophysiology · doi:10.1016/0013-4694(91)90203-g · Cited by 276 · see citing works
Tenke, C. E., & Jürgen Kayser, A. (2012) · Clinical Neurophysiology · doi:10.1016/j.clinph.2012.06.005 · Cited by 270 · see citing works
A Paradigm Shift in Functional Brain Imaging
Raichle, M. E. (2009) · Journal of Neuroscience · doi:10.1523/jneurosci.4366-09.2009 · Cited by 267 · see citing works
van Mierlo, P., Papadopoulou, M., Carrette, E., Boon, P., Vandenberghe, S., Vonck, K., & Marinazzo, D. (2014) · Progress in neurobiology · doi:10.1016/j.pneurobio.2014.06.004 · Cited by 266 · see citing works
Disrupted brain network topology in Parkinson’s disease: a longitudinal magnetoencephalography study
Dubbelink, K. T. E. O., Hillebrand, A., Stoffers, D., Deijen, J. B., Twisk, J. W. R., Stam, C. J., & Berendse, H. W. (2013) · Brain · doi:10.1093/brain/awt316 · Cited by 244 · see citing works
Self-citationA brief history of the resting state: The Washington University perspective
Snyder, A. Z., & Raichle, M. E. (2012) · NeuroImage · doi:10.1016/j.neuroimage.2012.01.044 · Cited by 235 · see citing works
Network analysis of resting state EEG in the developing young brain: structure comes with maturation
Boersma, M., Smit, D. J. A., de Bie, H. M. A., Van Baal, G. C. M., Boomsma, D. I., de Geus, E. J. C., Delemarre‐van de Waal, H. A., & Stam, C. J. (2011) · Human Brain Mapping · doi:10.1002/hbm.21030 · Cited by 235 · see citing works
Self-citationReliability of quantitative EEG features
Guðmundsson, S., Rúnarsson, T. P., Sigurðsson, S. Þ., Eiriksdottir, G., & Johnsen, K. (2007) · Clinical Neurophysiology · doi:10.1016/j.clinph.2007.06.018 · Cited by 230 · see citing works
Long-term intra-individual variability of the background EEG in normals
Kondacs, A., & Szabó, M. (1999) · Clinical Neurophysiology · doi:10.1016/s1388-2457(99)00122-4 · Cited by 217 · see citing works
Qin, Y. F., Xu, P., & Yao, D. (2010) · Clinical Neurophysiology · doi:10.1016/j.clinph.2010.03.056 · Cited by 209 · see citing works
Singer, W. (2013) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2013.09.006 · Cited by 206 · see citing works
From EEG signals to brain connectivity: A model-based evaluation of interdependence measures
Wendling, F., Ansari-Asl, K., Bartoloméi, F., & Senhadji, L. (2009) · Journal of Neuroscience Methods · doi:10.1016/j.jneumeth.2009.04.021 · Cited by 203 · see citing works
Test–retest reliability of resting EEG spectra validates a statistical signature of persons
Näpflin, M., Wildi, M., & Sarnthein, J. (2007) · Clinical Neurophysiology · doi:10.1016/j.clinph.2007.07.022 · Cited by 196 · see citing works
Horstmann, M., Bialonski, S., Nöennig, N., Mai, H., Prusseit, J., Wellmer, J., Hinrichs, H., & Lehnertz, K. (2010) · Clinical Neurophysiology · doi:10.1016/j.clinph.2009.10.013 · Cited by 194 · see citing works
The Amsterdam Resting-State Questionnaire reveals multiple phenotypes of resting-state cognition
Diaz, B. A., Van Der Sluis, S., Moens, S., Benjamins, J. S., Migliorati, F., Stoffers, D., Den Braber, A., Poil, S.-S., Hardstone, R., Van't Ent, D., et al. (2013) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2013.00446 · Cited by 194 · see citing works
EEG background activity described by a large computerized database
Aurlien, H., Gjerde, I. O., Aarseth, J. H., Eldøen, G., Karlsen, B., Skeidsvoll, H., & Gilhus, N. E. (2003) · Clinical Neurophysiology · doi:10.1016/j.clinph.2003.10.019 · Cited by 189 · see citing works
Brain connectivity at different time-scales measured with EEG
Koenig, T. W., Studer, D., Hubl, D., Melie, L., & Strik, W. K. (2005) · Philosophical Transactions of the Royal Society B Biological Sciences · doi:10.1098/rstb.2005.1649 · Cited by 172 · see citing works
Xu, P., Huang, R., Wang, J., Dam, N. T. V., Xie, T., Dong, Z.-Y., Chen, C., Gu, R., Zang, Y., Yong He, A., et al. (2014) · NeuroImage · doi:10.1016/j.neuroimage.2013.12.060 · Cited by 172 · see citing works
Ahmadlou, M., & Adeli, H. (2011) · NeuroImage · doi:10.1016/j.neuroimage.2011.04.070 · Cited by 171 · see citing works
Stam, C. J. (2010) · International Journal of Psychophysiology · doi:10.1016/j.ijpsycho.2010.06.024 · Cited by 169 · see citing works
Self-citationLeVan, P., Urrestarazu, E., & Gotman, J. (2006) · Clinical Neurophysiology · doi:10.1016/j.clinph.2005.12.013 · Cited by 166 · see citing works
Correlation and coherence analysis of the EEG: A selective tutorial review
Shaw, J. C. (1984) · International Journal of Psychophysiology · doi:10.1016/0167-8760(84)90045-x · Cited by 164 · see citing works
Emergence of Stable Functional Networks in Long-Term Human Electroencephalography
Chu, C. J., Kramer, M., Pathmanathan, J. S., Bianchi, M. T., Westover, M. B., Wizon, L., & Cash, S. S. (2012) · Journal of Neuroscience · doi:10.1523/jneurosci.5669-11.2012 · Cited by 161 · see citing works
EEG Patterns and Imaging Correlations in Encephalopathy
Kaplan, P. W., & Rossetti, A. O. (2011) · Journal of Clinical Neurophysiology · doi:10.1097/wnp.0b013e31821c33a0 · Cited by 158 · see citing works
Boersma, M., Smit, D. J. A., Boomsma, D. I., de Geus, E. J. C., de Waal, H. A. D., & Stam, C. J. (2012) · Brain Connectivity · doi:10.1089/brain.2012.0106 · Cited by 154 · see citing works
Self-citationReconfiguration of Network Hub Structure after Propofol-induced Unconsciousness
Lee, H., Mashour, G. A., Noh, G., Kim, S., & Lee, U. (2013) · Anesthesiology · doi:10.1097/aln.0b013e3182a8ec8c · Cited by 149 · see citing works
Direct electrophysiological measurement of human default network areas
Miller, K. J., Weaver, K. E., & Ojemann, J. G. (2009) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0902071106 · Cited by 149 · see citing works
Betweenness centrality in a weighted network
Wang, H., Martı́n-Hernández, J., & Mieghem, P. V. (2008) · Physical Review E · doi:10.1103/physreve.77.046105 · Cited by 147 · see citing works
Stam, C. J., & van Straaten, E. C. W. (2012) · NeuroImage · doi:10.1016/j.neuroimage.2012.05.050 · Cited by 144 · see citing works
Self-citationThe brain matures with stronger functional connectivity and decreased randomness of its network
Smit, D. J. A., Boersma, M., Schnack, H. G., Micheloyannis, S., Boomsma, D. I., Hulshoff Pol, H. E., Stam, C. J., & de Geus, E. J. C. (2012) · PLoS ONE · doi:10.1371/journal.pone.0036896 · Cited by 143 · see citing works
Self-citationHistory and Evolution of Electroencephalographic Instruments and Techniques
Collura, T. F. (1993) · Journal of Clinical Neurophysiology · doi:10.1097/00004691-199310000-00007 · Cited by 141 · see citing works
Tewarie, P. K. B., Hillebrand, A., Schoonheim, M. M., van Dijk, B. W., Geurts, J. J. G., Barkhof, F., Polman, C. H., & Stam, C. J. (2013) · NeuroImage · doi:10.1016/j.neuroimage.2013.10.022 · Cited by 133 · see citing works
Self-citationSubject position affects EEG magnitudes
Rice, J. K., Rorden, C., Little, J. S., & Parra, L. C. (2012) · NeuroImage · doi:10.1016/j.neuroimage.2012.09.041 · Cited by 132 · see citing works
Towards a Methodology for Validation of Centrality Measures in Complex Networks
Batool, K., & Niazi, M. A. (2014) · PLoS ONE · doi:10.1371/journal.pone.0090283 · Cited by 126 · see citing works
van Dellen, E., Douw, L., Hillebrand, A., Hamer, P. C. D. W., Baayen, J. C., Heimans, J. J., Reijneveld, J. C., & Stam, C. J. (2013) · NeuroImage · doi:10.1016/j.neuroimage.2013.10.010 · Cited by 124 · see citing works
Self-citationde Waal, H., Stam, C. J., Lansbergen, M. M., Wieggers, R. L., Kamphuis, P. J. G. H., Scheltens, P., Maestú, F., & van Straaten, E. C. W. (2014) · PLoS ONE · doi:10.1371/journal.pone.0086558 · Cited by 119 · see citing works
Self-citationTopography of EEG multivariate phase synchronization in early Alzheimer's disease
Knyazeva, M. G., Jalili, M., Brioschi, A. M., Bourquin, I., Fornari, E., Hasler, M., Meuli, R. A., Maeder, P. P., & Ghika, J. A. (2008) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2008.07.019 · Cited by 118 · see citing works
The use of anatomical constraints with MEG beamformers
Hillebrand, A. (2003) · NeuroImage · doi:10.1016/j.neuroimage.2003.07.031 · Cited by 116 · see citing works
Self-citationvan Dellen, E., van der Kooi, A. W., Numan, T., Koek, H. L., Klijn, F. A., Buijsrogge, M. P., Stam, C. J., & Slooter, A. J. C. (2014) · Anesthesiology · doi:10.1097/aln.0000000000000329 · Cited by 115 · see citing works
Self-citationSchoonheim, M. M., Geurts, J. J. G., Landi, D., Douw, L., van der Meer, M. L., Vrenken, H., Polman, C. H., Barkhof, F., & Stam, C. J. (2011) · Human Brain Mapping · doi:10.1002/hbm.21424 · Cited by 115 · see citing works
Self-citationA short history of causal modeling of fMRI data
Stephan, K. E., & Roebroeck, A. (2012) · NeuroImage · doi:10.1016/j.neuroimage.2012.01.034 · Cited by 112 · see citing works
Vecchio, F., Miraglia, F., Bramanti, P., & Rossini, P. M. (2014) · Journal of Alzheimer s Disease · doi:10.3233/jad-140090 · Cited by 110 · see citing works
On the Influence of Amplitude on the Connectivity between Phases
Daffertshofer, A., & van Wijk, B. C. M. (2011) · Frontiers in Neuroinformatics · doi:10.3389/fninf.2011.00006 · Cited by 109 · see citing works
Corsi-Cabrera, M., Galindo-Vilchis, L., del-Río-Portilla, Y., Arce, C., & Ramos-Loyo, J. (2007) · Clinical Neurophysiology · doi:10.1016/j.clinph.2006.08.013 · Cited by 100 · see citing works
Brain Networks Maintain a Scale-free Organization across Consciousness, Anesthesia, and Recovery
Lee, U., Oh, G., Kim, S., Noh, G., Choi, B., & Mashour, G. A. (2010) · Anesthesiology · doi:10.1097/aln.0b013e3181f229b5 · Cited by 96 · see citing works
In search of the Rosetta Stone for scalp EEG: Converging on reference-free techniques
Jürgen Kayser, A., & Tenke, C. E. (2010) · Clinical Neurophysiology · doi:10.1016/j.clinph.2010.04.030 · Cited by 96 · see citing works
Bonita, J. D., Ambolode, L. C. C., Rosenberg, B. M., Cellucci, C. J., Watanabe, T., Rapp, P. E., & Albano, A. M. (2013) · Cognitive Neurodynamics · doi:10.1007/s11571-013-9267-8 · Cited by 94 · see citing works
Complex network analysis of human ECoG data
Ortega, G. J., de Sola, R. G., & Pastor, J. (2008) · Neuroscience Letters · doi:10.1016/j.neulet.2008.09.080 · Cited by 94 · see citing works
A spatial filtering technique to detect and localize multiple sources in the brain
van Drongelen, W., Yuchtman, M., Veen, B. D. V., et al. (1996) · Brain Topography · doi:10.1007/bf01191641 · Cited by 93 · see citing works
Automatic Removal of Eye-Movement and Blink Artifacts from EEG Signals
Gao, J. F., Yang, Y., Lin, P., Wang, P., & Zheng, C. X. (2009) · Brain Topography · doi:10.1007/s10548-009-0131-4 · Cited by 92 · see citing works
Some applications of correlation analysis to clinical problems in electroencephalography
Brazier, M. A. B., & Barlow, J. S. (1956) · Electroencephalography and Clinical Neurophysiology · doi:10.1016/0013-4694(56)90124-9 · Cited by 92 · see citing works
A cautionary note on the interpretation of phase-locking estimates with concurrent changes in power
Muthukumaraswamy, S. D., & Singh, K. D. (2011) · Clinical Neurophysiology · doi:10.1016/j.clinph.2011.04.003 · Cited by 91 · see citing works
The correlation of metrics in complex networks with applications in functional brain networks
Li, C., Wang, H., de Haan, W., Stam, C. J., & Mieghem, P. V. (2011) · Journal of Statistical Mechanics Theory and Experiment · doi:10.1088/1742-5468/2011/11/p11018 · Cited by 89 · see citing works
Self-citationCantero, J. L., Atienza, M., Salas, R. M., & Gómez, C. M. (1999) · Neuroscience Letters · doi:10.1016/s0304-3940(99)00565-0 · Cited by 88 · see citing works
Schiff, S. J. (2005) · Neuroinformatics · doi:10.1385/ni:3:4:315 · Cited by 87 · see citing works
Groß, J. (2014) · Journal of Neuroscience Methods · doi:10.1016/j.jneumeth.2014.03.007 · Cited by 86 · see citing works
Effects of caffeine on topographic quantitative EEG
Siepmann, M., & Kirch, W. (2002) · Neuropsychobiology · doi:10.1159/000054958 · Cited by 85 · see citing works
Tan, B., Kong, X., Yang, P., Jin, Z., & Li, L. (2013) · Computational and Mathematical Methods in Medicine · doi:10.1155/2013/976365 · Cited by 84 · see citing works
Duncan, N. W., & Northoff, G. (2013) · Journal of Psychiatry and Neuroscience · doi:10.1503/jpn.120059 · Cited by 81 · see citing works
Korzeniewska, A., Cervenka, M. C., Jouny, C. C., Perilla, J. R., Harezlak, J., Bergey, G. K., Franaszczuk, P. J., & Crone, N. E. (2014) · NeuroImage · doi:10.1016/j.neuroimage.2014.06.078 · Cited by 76 · see citing works
Relation of Gamma Oscillations in Scalp Recordings to Muscular Activity
Pope, K. J., Fitzgibbon, S. P., Lewis, T. W., Whitham, E. M., & Willoughby, J. O. (2009) · Brain Topography · doi:10.1007/s10548-009-0081-x · Cited by 76 · see citing works
REST: A good idea but not the gold standard
Nunez, P. L. (2010) · Clinical Neurophysiology · doi:10.1016/j.clinph.2010.04.029 · Cited by 73 · see citing works
The Broadband-Transient Induced Gamma-Band Response in Scalp EEG Reflects the Execution of Saccades
Yuval‐Greenberg, S., & Deouell, L. Y. (2009) · Brain Topography · doi:10.1007/s10548-009-0077-6 · Cited by 73 · see citing works
On the Recording Reference Contribution to EEG Correlation, Phase Synchorony, and Coherence
Hu, S., Stead, M., Dai, Q., et al. (2010) · IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics) · doi:10.1109/tsmcb.2009.2037237 · Cited by 70 · see citing works
Alschuler, D. M., Tenke, C. E., Bruder, G. E., & Jürgen Kayser, A. (2013) · Clinical Neurophysiology · doi:10.1016/j.clinph.2013.08.024 · Cited by 69 · see citing works
Long-term variability of global statistical properties of epileptic brain networks
Kuhnert, M.-T., Elger, C. E., & Lehnertz, K. (2010) · Chaos An Interdisciplinary Journal of Nonlinear Science · doi:10.1063/1.3504998 · Cited by 68 · see citing works
Diessen, E. G. A. L. V., Otte, W. M., Braun, K. P. J., Stam, C. J., & Jansen, F. E. (2013) · PLoS ONE · doi:10.1371/journal.pone.0059764 · Cited by 68 · see citing works
Self-citationSurface Laplacian of Central Scalp Electrical Signals is Insensitive to Muscle Contamination
Fitzgibbon, S. P., Lewis, T. W., Powers, D. M. W., Whitham, E. W., Willoughby, J. O., & Pope, K. J. (2013) · IEEE Transactions on Biomedical Engineering · doi:10.1109/tbme.2012.2195662 · Cited by 67 · see citing works
Cassani, R., Falk, T. H., Fraga, F. J., et al. (2014) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2014.00055 · Cited by 67 · see citing works
Caffeine and opening the eyes have additive effects on resting arousal measures
Barry, R. J., Clarke, A. R., & Johnstone, S. J. (2011) · Clinical Neurophysiology · doi:10.1016/j.clinph.2011.02.036 · Cited by 64 · see citing works
Intra- and Inter-Frequency Brain Network Structure in Health and Schizophrenia
Siebenhühner, F., Weiss, S. A., Coppola, R., Weinberger, D. R., & Bassett, D. S. (2013) · PLoS ONE · doi:10.1371/journal.pone.0072351 · Cited by 62 · see citing works
Stability, reliability and consistency of the compositions of brain oscillations
Fingelkurts, A. A., Fingelkurts, A. A., Ermolaev, V. A., & Kaplan, A. (2005) · International Journal of Psychophysiology · doi:10.1016/j.ijpsycho.2005.03.014 · Cited by 62 · see citing works
Time course and variability of power in different frequency bands of EEG during resting conditions
Maltez, J., Hyllienmark, L., Nikulin, V. V., et al. (2004) · Neurophysiologie Clinique · doi:10.1016/j.neucli.2004.09.003 · Cited by 60 · see citing works
A Healthy Brain in a Healthy Body: Brain Network Correlates of Physical and Mental Fitness
Douw, L., Nieboer, D., van Dijk, B. W., Stam, C. J., & Twisk, J. W. R. (2014) · PLoS ONE · doi:10.1371/journal.pone.0088202 · Cited by 57 · see citing works
Self-citationSynchronizability of EEG-Based Functional Networks in Early Alzheimer's Disease
Tahaei, M. S., Jalili, M., & Knyazeva, M. G. (2012) · IEEE Transactions on Neural Systems and Rehabilitation Engineering · doi:10.1109/tnsre.2012.2202127 · Cited by 57 · see citing works
Practical constraints on estimation of source extent with MEG beamformers
Hillebrand, A., & Barnes, G. R. (2010) · NeuroImage · doi:10.1016/j.neuroimage.2010.10.036 · Cited by 56 · see citing works
Self-citationSolé, M. S., de Diego, J. S., Malumbres, J., et al. (2006) · Dialnet (Universidad de la Rioja) · Cited by 52 · see citing works
The Influence of Rest Period Instructions on the Default Mode Network
Benjamin, C. F. A., Lieberman, D. A., Chang, M., Ofen, N., Whitfield-Gabrieli, S., Gabrieli, J. D. E., & Gaab, N. (2010) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2010.00218 · Cited by 51 · see citing works
Hinkley, L. B. N. (2010) · Frontiers in Human Neuroscience · doi:10.3389/neuro.09.073.2009 · Cited by 50 · see citing works
Directed coherence as a measure of interhemispheric correlation of EEG
Wang, G., & Takigawa, M. (1992) · International Journal of Psychophysiology · doi:10.1016/0167-8760(92)90051-c · Cited by 49 · see citing works
Ibrahim, G. M., Anderson, R. A., Akiyama, T., Ochi, A., Otsubo, H., Singh-Cadieux, G., Donner, E. J., Rutka, J. T., Snead, O. C., & Doesburg, S. M. (2013) · Journal of Neurophysiology · doi:10.1152/jn.00034.2013 · Cited by 49 · see citing works
Laarne, P., Tenhunen, M. L., Hyttinen, J., & Eskola, H. J. (2000) · Brain Topography · doi:10.1023/a:1023422504025 · Cited by 49 · see citing works
Phase transition in the link weight structure of networks
Mieghem, P. V., & Magdalena, S. M. (2005) · Physical Review E · doi:10.1103/physreve.72.056138 · Cited by 46 · see citing works
Ross, G. J. (1963) · Rothamsted Repository (Rothamsted Repository) · Cited by 44 · see citing works
A statistically robust EEG re-referencing procedure to mitigate reference effect
Lepage, K. Q., Kramer, M. A. M., & Chu, C. J. (2014) · Journal of Neuroscience Methods · doi:10.1016/j.jneumeth.2014.05.008 · Cited by 42 · see citing works
Graph theoretical analysis indicates cognitive impairment in MS stems from neural disconnection
Schependom, J. V., Gielen, J., Laton, J., et al. (2014) · NeuroImage Clinical · doi:10.1016/j.nicl.2014.01.012 · Cited by 42 · see citing works
Tal, O., Diwakar, M., Wong, C. W., Olafsson, V. T., Lee, R., Huang, M., & Liu, T. T. (2013) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2013.00063 · Cited by 39 · see citing works
Does sleep restore the topology of functional brain networks?
Koenis, M. M. G., Romeijn, N., Piantoni, G., Verweij, I. M., van der Werf, Y. D., Someren, E. J. W. V., & Stam, C. J. (2011) · Human Brain Mapping · doi:10.1002/hbm.21455 · Cited by 38 · see citing works
Self-citationFogelson, N., Li, L., Li, Y., Fernández‐del‐Olmo, M., Santos‐García, D., & Peled, A. (2013) · Brain and Cognition · doi:10.1016/j.bandc.2013.05.001 · Cited by 38 · see citing works
Influence of the link weight structure on the shortest path
Mieghem, P. V., & van Langen, S. (2005) · Physical Review E · doi:10.1103/physreve.71.056113 · Cited by 37 · see citing works
Local MEG networks: The missing link between protein expression and epilepsy in glioma patients?
Douw, L., de Groot, M., van Dellen, E., Aronica, E., Heimans, J. J., Klein, M., Stam, C. J., Reijneveld, J. C., & Hillebrand, A. (2013) · NeuroImage · doi:10.1016/j.neuroimage.2013.02.067 · Cited by 35 · see citing works
Self-citationPiantoni, G., Cheung, B. L. P., Veen, B. D. V., Romeijn, N., Riedner, B. A., Tononi, G., van der Werf, Y. D., & Someren, E. J. W. V. (2013) · NeuroImage · doi:10.1016/j.neuroimage.2013.04.103 · Cited by 35 · see citing works
Adaptive reorganization of cortical networks in Alzheimer’s disease
Dubovik, S., Bouzerda-Wahlen, A., Nahum, L., Gold, G., Schnider, A., & Guggisberg, A. G. (2013) · Clinical Neurophysiology · doi:10.1016/j.clinph.2012.05.028 · Cited by 34 · see citing works
Jin, S., Jeong, W., Lee, D.-S., Jeon, B. S., & Chung, C. K. (2014) · Journal of Neurophysiology · doi:10.1152/jn.00585.2013 · Cited by 29 · see citing works
Applying EEG phase synchronization measures to non-linearly coupled neural mass models
Vindiola, M., Vettel, J. M., Gordon, S. M., Franaszczuk, P. J., & McDowell, K. (2014) · Journal of Neuroscience Methods · doi:10.1016/j.jneumeth.2014.01.025 · Cited by 28 · see citing works
Prestimulus vigilance predicts response speed in an easy visual discrimination task
Minkwitz, J., Trenner, M. U., Sander, C., Olbrich, S., Sheldrick, A. J., Schönknecht, P., Hegerl, U., & Himmerich, H. (2011) · Behavioral and Brain Functions · doi:10.1186/1744-9081-7-31 · Cited by 25 · see citing works
Schoen, W., Chang, J. S., Lee, U., Bob, P., & Mashour, G. A. (2010) · Consciousness and Cognition · doi:10.1016/j.concog.2010.05.009 · Cited by 23 · see citing works
Alterations in Resting-State Activity Relate to Performance in a Verbal Recognition Task
Zunini, R. A. L., Thivierge, J., Kousaie, S., Sheppard, C. L., & Taler, V. (2013) · PLoS ONE · doi:10.1371/journal.pone.0065608 · Cited by 23 · see citing works
van Straaten, E. C. W., den Haan, J., de Waal, H., van der Flier, W. M., Barkhof, F., Prins, N. D., & Stam, C. J. (2014) · Clinical Neurophysiology · doi:10.1016/j.clinph.2014.05.018 · Cited by 23 · see citing works
Self-citationComputer-Assisted Interpretation of the EEG Background Pattern: A Clinical Evaluation
Lodder, S. S., Askamp, J., & van Putten, M. J. A. M. (2014) · PLoS ONE · doi:10.1371/journal.pone.0085966 · Cited by 21 · see citing works
Does sleep deprivation alter functional EEG networks in children with focal epilepsy?
Diessen, E. G. A. L. V., Otte, W. M., Braun, K. P. J., Stam, C. J., & Jansen, F. E. (2014) · Frontiers in Systems Neuroscience · doi:10.3389/fnsys.2014.00067 · Cited by 20 · see citing works
Self-citationAutomatic interpretation and writing report of the adult waking electroencephalogram
Shibasaki, H., Nakamura, M., Sugi, T., et al. (2014) · Clinical Neurophysiology · doi:10.1016/j.clinph.2013.12.114 · Cited by 20 · see citing works
The cooperative behavior of neuronal populations during sleep and mental tasks.
ADEY, W. R., Elul, R., Rd, W., et al. (1967) · PubMed · Cited by 16 · see citing works
Automated Analysis of EEG: Opportunities and Pitfalls
Anderson, N., & Doolittle, L. M. (2010) · Journal of Clinical Neurophysiology · doi:10.1097/wnp.0b013e3181fe0b6f · Cited by 14 · see citing works
Conclusions and Suggestions for Future Research
González‐Sánchez, D., & Hernández–Lerma, O. (2013) · SpringerBriefs in mathematics · doi:10.1007/978-3-319-01059-5_5 · Cited by 1 · see citing works
High-resolution intersubject averaging and a coordinate system for the cortical surface
Fischl, B., Sereno, M. I., Tootell, R. B. H., & Dale, A. M. (1999) · Human Brain Mapping · doi:10.1002/(sici)1097-0193(1999)8:4
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“The spatial information carried by EEG signals plays an important role in AD/HC classification (Babiloni et al., 2005; Sakkalis, 2011; Tafreshi et al., 2019; Van Mierlo et al., 2014).”
BackgroundInfluentialDementia ConnEEGtome: towards multicentric harmonization of EEG connectivity in neurodegeneration
Prado, P., Birba, A., Cruzat, J., Santamaría-García, H., Parra, M., Moguilner, S., Tagliazucchi, E., & Ibáñez, A. (2022) · International Journal of Psychophysiology · doi:10.1016/j.ijpsycho.2021.12.008 · Cited by 43 · see citing works
Dauwan, M., Linszen, M. M. J., Lemstra, A. W., Scheltens, P., Stam, C. J., & Sommer, I. E. (2018) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2018.03.013 · Cited by 37 · see citing works
Self-citationSun, Y., Xu, Y., Lv, J., & Liu, Y. (2022) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2022.108282 · Cited by 11 · see citing works
Perez, T. M., Glue, P., Adhia, D. B., Navid, M. S., Zeng, J., Dillingham, P., Smith, M., Niazi, I. K., Young, C. K., & De Ridder, D. (2022) · Trials · doi:10.1186/s13063-022-06863-z · Cited by 8 · see citing works
“We chose the eyes-closed condition because it has been reported to improve EEG reliability [200, 201].”
MethodJiang, Y., Guo, Z., Zhou, X., Jiang, N., & He, J. (2025) · Journal of NeuroEngineering and Rehabilitation · doi:10.1186/s12984-025-01594-z · Cited by 7 · see citing works
- Authors
- van Diessen, E., Numan, T., van Dellen, E., van der Kooi, A. W., Boersma, M., Hofman, D., van Lutterveld, R., van Dijk, B. W., van Straaten, E. C. W., Hillebrand, A., & Stam, C. J.
- Affiliations
- University Medical Center Utrecht (NL)
- Utrecht University (NL)
- Amsterdam UMC Location Vrije Universiteit Amsterdam (NL)
- Venue
- Clinical Neurophysiology
- Publisher
- Elsevier BV
- Published
- 2015-08
- Volume
- 126
- Issue
- 8
- Pages
- 1468-1481
- ISSN
- 1388-2457 (ISSN-L)
- OpenAlex
- W2079426910
- Cited by
- 417
- References
- 196
- Citations by year
- 2026: 19 · 2025: 49 · 2024: 37 · 2023: 45 · 2022: 38 · 2021: 45 · 2020: 43 · 2019: 45 · 2018: 21 · 2017: 34 · 2016: 28 · 2015: 12 · 2012: 1
- FWCI
- 2.37
- Type
- journal article
- Language
- en
- Open access
- green
- dspace.library.uu.nl
- Licence
- Locations
- Clinical Neurophysiology (publishedVersion)
- PubMed (publishedVersion)
- Amsterdam UMC (VU Amsterdam) - Institutional Repository (publishedVersion)
- Utrecht University Repository (Utrecht University) (submittedVersion, other-oa)
- Pure Amsterdam UMC (submittedVersion)
- VU Research Portal (submittedVersion)
- Utrecht University Repository (Utrecht University) (submittedVersion)
- Data Archiving and Networked Services (DANS) (submittedVersion)
- Funders
- Dutch National Epilepsy Fund
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Functional Brain Connectivity Studies
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural dynamics and brain function
- Life Sciences › Neuroscience › Cognitive Neuroscience › EEG and Brain-Computer Interfaces
- Keywords
- resting state, functional connectivity, brain networks, EEG, MEG, network topology, methodological pitfalls, data analysis pipeline
- MeSH terms
- Brain, Brain Mapping, Electroencephalography, Humans, Nerve Net, Neurons, Magnetoencephalography, Functional Neuroimaging
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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