Directed Functional Brain Connectivity Based on EEG Source Imaging: Methodology and Application to Temporal Lobe Epilepsy

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

Automated anatomical labeling of activations in SPM using a macroscopic anatomical parcellation of the MNI MRI single subject brain

Tzourio-Mazoyer, N., Landeau, B., Papathanassiou, D., Crivello, F., Etard, O., Delcroix, N., Mazoyer, B., & Joliot, M. (2002) · NeuroImage · doi:10.1006/nimg.2001.0978 · Cited by 16,319 · see citing works

Untitled work

(1978) · UA Campus Repository (The University of Arizona) · Cited by 8,010 · 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

Standardized low-resolution brain electromagnetic tomography (sLORETA): technical details.

Pascual-Marqui, R. D. (2002) · PubMed · Cited by 3,340 · see citing works

Digital Spectral Analysis with Applications.

Porat, B., & Marple, S. L. (1988) · Mathematics of Computation · doi:10.2307/2008605 · Cited by 2,660 · see citing works

Phase relationship between hippocampal place units and the EEG theta rhythm

O'Keefe, J. M., & Recce, M. L. (1993) · Hippocampus · doi:10.1002/hipo.450030307 · Cited by 2,561 · see citing works

The Hippocampus as a Cognitive Map

Ranck, J. B. (1979) · American Journal of Psychiatry · doi:10.1176/ajp.136.10.1353 · Cited by 2,373 · see citing works

Resting-State Functional Connectivity Reflects Structural Connectivity in the Default Mode Network

Greicius, M. D., Supekar, K., Menon, V., & Dougherty, R. F. (2009) · Cerebral Cortex · doi:10.1093/cercor/bhn059 · Cited by 2,175 · see citing works

Digital Spectral Analysis with Applications

Marple, S. L., & Carey, W. M. (1989) · The Journal of the Acoustical Society of America · doi:10.1121/1.398548 · Cited by 1,992 · 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

EEG source imaging

Michel, C. M., Murray, M. M., Lantz, G., Gonzalez, S., Spinelli, L., & de Peralta, R. G. (2004) · Clinical Neurophysiology · doi:10.1016/j.clinph.2004.06.001 · Cited by 1,663 · see citing works

Digital spectral analysis : with applications

Marple, S. L. (1987) · International Linear Collider · Cited by 1,599 · 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

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

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 845 · see citing works

Towards the utilization of EEG as a brain imaging tool

Michel, C. M., & Murray, M. M. (2011) · NeuroImage · doi:10.1016/j.neuroimage.2011.12.039 · Cited by 741 · see citing works

Spatiotemporal Analysis of Multichannel EEG: CARTOOL

Brunet, D., Murray, M. M., & Michel, C. M. (2011) · Computational Intelligence and Neuroscience · doi:10.1155/2011/813870 · Cited by 732 · see citing works

Theta returns

Kahana, M. J., Seelig, D., & Madsen, J. R. (2001) · Current Opinion in Neurobiology · doi:10.1016/s0959-4388(01)00278-1 · Cited by 485 · see citing works

Electroencephalographic source imaging: a prospective study of 152 operated epileptic patients

Brodbeck, V., Spinelli, L., Lascano, A. M., Wissmeier, M., Vargas, M.-I., Vulliemoz, S., Pollo, C., Schaller, K., Michel, C. M., & Seeck, M. (2011) · Brain · doi:10.1093/brain/awr243 · Cited by 427 · see citing works

Estimation of the cortical functional connectivity with the multimodal integration of high-resolution EEG and fMRI data by directed transfer function

Babiloni, F., Cincotti, F., Babiloni, C., Carducci, F., Mattia, D., Astolfi, L., Basilisco, A., Rossini, P. M., Ding, L., Ni, Y., et al. (2005) · NeuroImage · doi:10.1016/j.neuroimage.2004.09.036 · Cited by 412 · see citing works

Electrical neuroimaging based on biophysical constraints

Menéndez, R. G. D. P., Murray, M. M., Michel, C. M., Martuzzi, R., & Andino, S. L. G. (2003) · NeuroImage · doi:10.1016/j.neuroimage.2003.09.051 · Cited by 364 · see citing works

Comparison of different cortical connectivity estimators for high‐resolution EEG recordings

Laura Astolfi, A., Febo Cincotti, A., Donatella Mattia, A., Marciani, M. G., Baccalá, L. A., Fallani, F. D. V., Salinari, S., Ursino, M., Zavaglia, M., Ding, L., et al. (2006) · Human Brain Mapping · doi:10.1002/hbm.20263 · Cited by 362 · see citing works

A critical assessment of connectivity measures for EEG data: A simulation study

Haufe, S., Nikulin, V. V., Müller, K., & Nolte, G. (2012) · NeuroImage · doi:10.1016/j.neuroimage.2012.09.036 · Cited by 335 · see citing works

Determination of EEG Activity Propagation: Pair-Wise Versus Multichannel Estimate

Kuś, R., Kamiński, M., & Blinowska, K. J. (2004) · IEEE Transactions on Biomedical Engineering · doi:10.1109/tbme.2004.827929 · Cited by 328 · see citing works

Patterns of altered functional connectivity in mesial temporal lobe epilepsy

Pittau, F., Grova, C., Moeller, F., Dubeau, F., & Gotman, J. (2012) · Epilepsia · doi:10.1111/j.1528-1167.2012.03464.x · Cited by 306 · see citing works

Large scale brain models of epilepsy: dynamics meets connectomics

Richardson, M. P. (2012) · Journal of Neurology Neurosurgery & Psychiatry · doi:10.1136/jnnp-2011-301944 · Cited by 303 · see citing works

Review of the methods of determination of directed connectivity from multichannel data

Blinowska, K. J. (2011) · Medical & Biological Engineering & Computing · doi:10.1007/s11517-011-0739-x · Cited by 282 · see citing works

Functional brain connectivity from EEG in epilepsy: seizure prediction and epileptogenic focus localization.

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

Electrical Neuroimaging

(2009) · doi:10.1017/cbo9780511596889 · Cited by 256 · see citing works

eConnectome: A MATLAB toolbox for mapping and imaging of brain functional connectivity

He, B., Dai, Y., Astolfi, L., Babiloni, F., Yuan, H., & Yang, L. (2011) · Journal of Neuroscience Methods · doi:10.1016/j.jneumeth.2010.11.015 · Cited by 229 · see citing works

Altered spontaneous neuronal activity of the default-mode network in mesial temporal lobe epilepsy

Zhang, Z., Lu, G., Zhong, Y., Tan, Q., Liao, W., Wang, Z., Wang, Z., Li, K., Chen, H., & Liu, Y. (2010) · Brain Research · doi:10.1016/j.brainres.2010.01.042 · Cited by 227 · see citing works

Anatomically Informed Basis Functions for EEG Source Localization: Combining Functional and Anatomical Constraints

Phillips, C. L. M., Rugg, M. D., & Friston, K. J. (2002) · NeuroImage · doi:10.1006/nimg.2002.1143 · Cited by 191 · see citing works

Ictal source analysis: Localization and imaging of causal interactions in humans

Ding, L., Worrell, G. A., Lagerlund, T. D., & He, B. (2007) · NeuroImage · doi:10.1016/j.neuroimage.2006.09.042 · Cited by 183 · see citing works

Tracking the Time-Varying Cortical Connectivity Patterns by Adaptive Multivariate Estimators

Astolfi, L., Cincotti, F., Mattia, D., De Vico Fallani, F., Tocci, A., Colosimo, A., Salinari, S., Marciani, M. G., Hesse, W., Witte, H., et al. (2008) · IEEE Transactions on Biomedical Engineering · doi:10.1109/tbme.2007.905419 · Cited by 179 · see citing works

Localization of MDMA‐induced brain activity in healthy volunteers using low resolution brain electromagnetic tomography (LORETA)

Frei, E., Gamma, A., Pascual-Marqui, R. D., Lehmann, D., Hell, D., & Vollenweider, F. X. (2001) · Human Brain Mapping · doi:10.1002/hbm.1049 · Cited by 173 · see citing works

Electric source imaging of interictal activity accurately localises the seizure onset zone

Mégevand, P., Spinelli, L., Genetti, M., Brodbeck, V., Momjian, S., Schaller, K., Michel, C. M., Vulliémoz, S., & Seeck, M. (2013) · Journal of Neurology Neurosurgery & Psychiatry · doi:10.1136/jnnp-2013-305515 · Cited by 160 · see citing works

Estimation of Time-Varying Connectivity Patterns Through the Use of an Adaptive Directed Transfer Function

Wilke, C., Ding, L., & He, B. (2008) · IEEE Transactions on Biomedical Engineering · doi:10.1109/tbme.2008.919885 · Cited by 159 · see citing works

A comparison of multivariate autoregressive estimators

Schlögl, A. (2005) · Signal Processing · doi:10.1016/j.sigpro.2005.11.007 · Cited by 153 · see citing works

Neocortical seizure foci localization by means of a directed transfer function method

Wilke, C. T., van Drongelen, W., Kohrman, M. H., & He, B. (2009) · Epilepsia · doi:10.1111/j.1528-1167.2009.02329.x · Cited by 148 · see citing works

Assessing cortical functional connectivity by partial directed coherence: simulations and application to real data

Laura Astolfi, A., Febo Cincotti, A., Donatella Mattia, A., Marciani, M. G., Baccalá, L. A., Fallani, F. D. V., Salinari, S., Ursino, M., Zavaglia, M., & Babiloni, F. (2006) · IEEE Transactions on Biomedical Engineering · doi:10.1109/tbme.2006.873692 · Cited by 144 · see citing works

Dynamic directed interictal connectivity in left and right temporal lobe epilepsy

Coito, A. L., Plomp, G., Genetti, M., Abela, E., Wiest, R., Seeck, M., Michel, C. M., & Vulliémoz, S. (2015) · Epilepsia · doi:10.1111/epi.12904 · Cited by 143 · see citing works

Ictal‐onset localization through connectivity analysis of intracranial EEG signals in patients with refractory epilepsy

van Mierlo, P., Carrette, E., Hallez, H., Raedt, R., Meurs, A., Vandenberghe, S., Roost, D. V., Boon, P., Staelens, S. G., & Vonck, K. E. J. (2013) · Epilepsia · doi:10.1111/epi.12206 · Cited by 142 · see citing works

The Electroencephalogram and the Adaptive Autoregressive Model: Theory and Applications

Schlögl, A. (2000) · Cited by 137 · see citing works

Altered directed functional connectivity in temporal lobe epilepsy in the absence of interictal spikes: A high density EEG study

Coito, A. L., Genetti, M., Pittau, F., Iannotti, G. R., Thomschewski, A. C., Höller, Y., Trinka, E., Wiest, R., Seeck, M., Michel, C. M., et al. (2016) · Epilepsia · doi:10.1111/epi.13308 · Cited by 131 · see citing works

Cortical imaging of event-related (de)synchronization during online control of brain-computer interface using minimum-norm estimates in frequency domain

Yuan, H., Doud, A., Gururajan, A., & He, B. (2008) · IEEE Transactions on Neural Systems and Rehabilitation Engineering · doi:10.1109/tnsre.2008.2003384 · Cited by 120 · see citing works

Catching the Invisible: Mesial Temporal Source Contribution to Simultaneous EEG and SEEG Recordings

Koessler, L., Cecchin, T., Colnat‐Coulbois, S., Vignal, J., Jonas, J., Vespignani, H., Ramantani, G., & Maillard, L. G. (2014) · Brain Topography · doi:10.1007/s10548-014-0417-z · Cited by 118 · see citing works

MEG/EEG Source Reconstruction, Statistical Evaluation, and Visualization with NUTMEG

Dalal, S. S., Zumer, J. M., Guggisberg, A. G., Trumpis, M., Wong, D. D. E., Sekihara, K., & Nagarajan, S. S. (2011) · Computational Intelligence and Neuroscience · doi:10.1155/2011/758973 · Cited by 118 · see citing works

Head model and electrical source imaging: A study of 38 epileptic patients

Birot, G., Spinelli, L., Vulliémoz, S., Mégevand, P., Brunet, D., Seeck, M., & Michel, C. M. (2014) · NeuroImage Clinical · doi:10.1016/j.nicl.2014.06.005 · Cited by 113 · see citing works

Seizure source imaging by means of FINE spatio-temporal dipole localization and directed transfer function in partial epilepsy patients

Lu, Y., Yang, L., Worrell, G. A., & He, B. (2012) · Clinical Neurophysiology · doi:10.1016/j.clinph.2011.11.007 · Cited by 98 · see citing works

Concepts of Connectivity and Human Epileptic Activity

Lemieux, L., Jean Daunizeau, A., & Walker, M. C. (2011) · Frontiers in Systems Neuroscience · doi:10.3389/fnsys.2011.00012 · Cited by 83 · see citing works

Accurate epileptogenic focus localization through time-variant functional connectivity analysis of intracranial electroencephalographic signals

van Mierlo, P., Carrette, E., Hallez, H., Vonck, K. E. J., Roost, D. V., Boon, P., & Staelens, S. G. (2011) · NeuroImage · doi:10.1016/j.neuroimage.2011.02.009 · Cited by 83 · see citing works

Identification of epileptogenic foci from causal analysis of ECoG interictal spike activity

Wilke, C. T., van Drongelen, W., Kohrman, M. H., & He, B. (2009) · Clinical Neurophysiology · doi:10.1016/j.clinph.2009.04.024 · Cited by 81 · see citing works

An optimized voxel‐based morphometric study of gray matter changes in patients with left‐sided and right‐sided mesial temporal lobe epilepsy and hippocampal sclerosis (MTLE/HS)

Pail, M., Brázdil, M., Mareček, R., & Mikl, M. (2009) · Epilepsia · doi:10.1111/j.1528-1167.2009.02324.x · Cited by 77 · see citing works

Electrical source imaging in cortical malformation–related epilepsy: A prospective EEG ‐ SEEG concordance study

Rikir, E., Koessler, L., Gavaret, M., Bartoloméi, F., Colnat‐Coulbois, S., Vignal, J., Vespignani, H., Ramantani, G., & Maillard, L. G. (2014) · Epilepsia · doi:10.1111/epi.12591 · Cited by 77 · see citing works

Bilateral hemispheric alteration of memory processes in right medial temporal lobe epilepsy

Dupont, S. (2002) · Journal of Neurology Neurosurgery & Psychiatry · doi:10.1136/jnnp.73.5.478 · Cited by 71 · see citing works

The physiological plausibility of time-varying Granger-causal modeling: Normalization and weighting by spectral power

Plomp, G., Quairiaux, C., Michel, C. M., & Laura Astolfi, A. (2014) · NeuroImage · doi:10.1016/j.neuroimage.2014.04.016 · Cited by 70 · see citing works

Rapid consolidation and the human hippocampus: Intracranial recordings confirm surface EEG

Nahum, L., Gabriel, D., Spinelli, L., Momjian, S., Seeck, M., Michel, C. M., & Schnider, A. (2010) · Hippocampus · doi:10.1002/hipo.20819 · Cited by 40 · see citing works

Estimate of Causality Between Independent Cortical Spatial Patterns During Movement Volition in Spinal Cord Injured Patients

Laura Astolfi, A., Bakardjian, H., Febo Cincotti, A., Donatella Mattia, A., Marciani, M. G., Fallani, F. D. V., Colosimo, A., Salinari, S., Miwakeichi, F., Yamaguchi, Y., et al. (2007) · Brain Topography · doi:10.1007/s10548-007-0018-1 · Cited by 34 · see citing works

Early recurrence and ongoing parietal driving during elementary visual processing

Plomp, G., Hervais‐Adelman, A., Laura Astolfi, A., & Michel, C. M. (2015) · Scientific Reports · doi:10.1038/srep18733 · Cited by 33 · see citing works

Contralateral medial temporal lobe damage in right but not left temporal lobe epilepsy: a 1H magnetic resonance spectroscopy study

Zubler, F. (2003) · Journal of Neurology Neurosurgery & Psychiatry · doi:10.1136/jnnp.74.9.1240 · Cited by 27 · see citing works

Multichannel frequency and time-frequency analysis

Koenig, T. W., & Pascual-Marqui, R. D. (2009) · Cambridge University Press eBooks · doi:10.1017/cbo9780511596889.008 · Cited by 20 · see citing works

Spectrally weighted Granger-causal modeling: Motivation and applications to data from animal models and epileptic patients

Plomp, G., Laura Astolfi, A., Coito, A. L., & Michel, C. M. (2015) · Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) · doi:10.1109/embc.2015.7319610 · Cited by 7 · see citing works

EEG Source Imaging: A Practical Review of the Analysis Steps

Michel, C. M., & Brunet, D. (2019) · Frontiers in Neurology · doi:10.3389/fneur.2019.00325 · Cited by 716 · see citing works

Electrophysiological source imaging: A noninvasive window to brain dynamics

He, B., Sohrabpour, A., Brown, E., & Liu, Z. (2018) · Annual Review of Biomedical Engineering · doi:10.1146/annurev-bioeng-062117-120853 · Cited by 297 · see citing works

Electrophysiological Brain Connectivity: Theory and Implementation

He, B., Laura Astolfi, A., Valdes-Sosa, P. A., Marinazzo, D., Palva, S., Bénar, C., Michel, C. M., & Koenig, T. W. (2019) · IEEE Transactions on Biomedical Engineering · doi:10.1109/tbme.2019.2913928 · Cited by 236 · see citing works

Spatio-Temporal-Spectral Hierarchical Graph Convolutional Network With Semisupervised Active Learning for Patient-Specific Seizure Prediction

Li, Y., Liu, Y., Guo, Y.-Z., Liao, X.-F., Hu, B., & Yu, T. (2022) · IEEE Transactions on Cybernetics · doi:10.1109/tcyb.2021.3071860 · Cited by 196 · see citing works

Task-Independent Mental Workload Classification Based Upon Common Multiband EEG Cortical Connectivity

Dimitrakopoulos, G. Ν., Kakkos, I., Dai, Z., Lim, J., de Souza, J., Bezerianos, A., & Sun, Y. (2017) · IEEE Transactions on Neural Systems and Rehabilitation Engineering · doi:10.1109/tnsre.2017.2701002 · Cited by 142 · see citing works

Multimodal data analysis of epileptic EEG and rs-fMRI via deep learning and edge computing

Hosseini, M.-P., Tran, T. X., Pompili, D., Elisevich, K. V., & Hamid Soltanian-zadeh, A. (2020) · Artificial Intelligence in Medicine · doi:10.1016/j.artmed.2020.101813 · Cited by 114 · see citing works

Functional networks of the brain: from connectivity restoration to dynamic integration

Hramov, A. E., Frolov, N. S., Maksimenko, V. A., Kurkin, S., Kazantsev, V., & Pisarchik, A. N. (2020) · Physics-Uspekhi · doi:10.3367/ufne.2020.06.038807 · Cited by 96 · see citing works

Directed functional connections underlying spontaneous brain activity

Coito, A. L., Michel, C. M., Vulliémoz, S., & Plomp, G. (2018) · Human Brain Mapping · doi:10.1002/hbm.24418 · Cited by 57 · see citing works

Increased Functional MEG Connectivity as a Hallmark of MRI-Negative Focal and Generalized Epilepsy

Hegner, Y. L., Marquetand, J. C., Elshahabi, A., Klamer, S., Lerche, H., Braun, C., & Focke, N. K. (2018) · Brain Topography · doi:10.1007/s10548-018-0649-4 · Cited by 54 · see citing works

Comparison of Neuroplastic Responses to Cathodal Transcranial Direct Current Stimulation and Continuous Theta Burst Stimulation in Subacute Stroke

Nicolo, P., Magnin, C., Pedrazzini, E., Plomp, G., Mottaz, A., Schnider, A., & Guggisberg, A. G. (2017) · Archives of Physical Medicine and Rehabilitation · doi:10.1016/j.apmr.2017.10.026 · Cited by 54 · see citing works

Estimating EEG Source Dipole Orientation Based on Singular-value Decomposition for Connectivity Analysis

Rubega, M., Carboni, M., Seeber, M., Pascucci, D., Tourbier, S., Toscano, G., van Mierlo, P., Hagmann, P., Plomp, G., Vulliémoz, S., et al. (2018) · Brain Topography · doi:10.1007/s10548-018-0691-2 · Cited by 54 · see citing works

Connectome spectral analysis to track EEG task dynamics on a subsecond scale

Glomb, K., Rué‐Queralt, J., Pascucci, D., Defferrard, M., Tourbier, S., Carboni, M., Rubega, M., Vulliémoz, S., Plomp, G., & Hagmann, P. (2020) · NeuroImage · doi:10.1016/j.neuroimage.2020.117137 · Cited by 50 · see citing works

Interictal epileptogenic zone localization in patients with focal epilepsy using electric source imaging and directed functional connectivity from low‐density EEG

Coito, A. L., Biethahn, S., Tepperberg, J., Carboni, M., Roelcke, U., Seeck, M., van Mierlo, P., Gschwind, M., & Vulliémoz, S. (2019) · Epilepsia Open · doi:10.1002/epi4.12318 · Cited by 53 · see citing works

Early alterations of social brain networks in young children with autism

Sperdin, H. F., Coito, A. L., Kojovic, N., Rihs, T. A., Jan, R. K., Franchini, M., Plomp, G., Vulliémoz, S., D, S. E. M., Michel, C. M., et al. (2018) · eLife · doi:10.7554/elife.31670 · Cited by 48 · see citing works

A framework for seizure detection using effective connectivity, graph theory, and multi-level modular network

Akbarian, B., & Erfanian, A. (2020) · Biomedical Signal Processing and Control · doi:10.1016/j.bspc.2020.101878 · Cited by 50 · see citing works

Identifying Cortical Brain Directed Connectivity Networks From High-Density EEG for Emotion Recognition

Wang, H., Wu, X., & Yao, L. (2020) · IEEE Transactions on Affective Computing · doi:10.1109/taffc.2020.3006847 · Cited by 47 · see citing works

Altered directed functional connectivity of the right amygdala in depression: high-density EEG study

Damborská, A., Honzírková, E., Barteček, R., Hořínková, J., Fedorová, S., Ondruš, Š., Michel, C. M., & Rubega, M. (2020) · Scientific Reports · doi:10.1038/s41598-020-61264-z · Cited by 45 · see citing works

A Time-Varying Connectivity Analysis from Distributed EEG Sources: A Simulation Study

Ghumare, E. G., Schrooten, M., Vandenberghe, R. R., & Dupont, P. J. (2018) · Brain Topography · doi:10.1007/s10548-018-0621-3 · Cited by 40 · see citing works

Decoding of motor imagery EEG based on brain source estimation

Li, M., Wang, Y., Jia, S., Sun, Y.-J., & Yang, J. (2019) · Neurocomputing · doi:10.1016/j.neucom.2019.02.006 · Cited by 38 · see citing works

Experimental research on real-time acquisition and monitoring of wearable EEG based on TGAM module

Yin, L., Zhang, C., & Cui, Z. (2019) · Computer Communications · doi:10.1016/j.comcom.2019.12.055 · Cited by 37 · see citing works

Manipulation of Human Verticality Using High-Definition Transcranial Direct Current Stimulation

Santos, T. E., Favoretto, D. B., Toostani, I. G., Nascimento, D., Rimoli, B., Bergonzoni, E., Lemos, T. W., Truong, D., Delbem, A., Makkiabadi, B., et al. (2018) · Frontiers in Neurology · doi:10.3389/fneur.2018.00825 · Cited by 22 · see citing works

Influence of Time-Series Normalization, Number of Nodes, Connectivity and Graph Measure Selection on Seizure-Onset Zone Localization from Intracranial EEG

van Mierlo, P., Lie, O. V., Staljanssens, W., Coito, A. L., & Vulliémoz, S. (2018) · Brain Topography · doi:10.1007/s10548-018-0646-7 · Cited by 25 · see citing works

Using structural connectivity to augment community structure in EEG functional connectivity

Glomb, K., Mullier, E., Carboni, M., Rubega, M., Iannotti, G., Tourbier, S., Seeber, M., Vulliémoz, S., & Hagmann, P. (2020) · Network Neuroscience · doi:10.1162/netn_a_00147 · Cited by 24 · see citing works

Neural connectivity patterns explain why adolescents perceive the world as moving slow

Ghorbani, F., Zhou, X., Talebi, N., Roessner, V., Hommel, B., Prochnow, A., & Beste, C. (2024) · Communications Biology · doi:10.1038/s42003-024-06439-4 · Cited by 20 · see citing works

Presurgical Evaluation of Epilepsy Using Resting-State MEG Functional Connectivity

Xu, N., Shan, W., Qi, J., Wu, J., & Wang, Q. (2021) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2021.649074 · Cited by 19 · see citing works

Hypofunction of directed brain network within alpha frequency band in depressive patients: a graph-theoretic analysis

Liu, S., Chen, S., Huang, Z., Liu, X., Li, M., Su, F., Hao, X., & Ming, D. (2022) · Cognitive Neurodynamics · doi:10.1007/s11571-022-09782-6 · Cited by 19 · see citing works

A Framework to Assess the Information Dynamics of Source EEG Activity and Its Application to Epileptic Brain Networks

Kotiuchyi, I., Pernice, R., Popov, A. O., Faes, L., & Kharytonov, V. (2020) · Brain Sciences · doi:10.3390/brainsci10090657 · Cited by 18 · see citing works

Novel technique for control of industrial robots with wearable and contactless technologies

Boru, B., & Erin, K. (2022) · Measurement · doi:10.1016/j.measurement.2022.110850 · Cited by 17 · see citing works

AOAR: an automatic ocular artifact removal approach for multi-channel electroencephalogram data based on non-negative matrix factorization and empirical mode decomposition

Gu, Y., Li, X., Chen, S., & Xiaoli Li, A. (2021) · Journal of Neural Engineering · doi:10.1088/1741-2552/abede0 · Cited by 17 · see citing works

Lp (p ≤ 1) Norm Partial Directed Coherence for Directed Network Analysis of Scalp EEGs

Li, P., Huang, X., Zhu, X., Liu, H., Zhou, W., Yao, D., & Xu, P. (2018) · Brain Topography · doi:10.1007/s10548-018-0624-0 · Cited by 16 · see citing works

Reliability of EEG Interactions Differs between Measures and Is Specific for Neurological Diseases

Höller, Y., Butz, K. H. G., Thomschewski, A. C., Schmid, E. V., Uhl, A., Bathke, A. C., Zimmermann, G., Tomasi, S. O., Nardone, R., Staffen, W., et al. (2017) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2017.00350 · Cited by 16 · see citing works

Altered activity and information flow in the default mode network of pilocarpine-induced epilepsy rats

Cui, Y., Yu, S., Zhang, T., Zhang, Y., Xia, Y., Yao, D., & Guo, D. (2018) · Brain Research · doi:10.1016/j.brainres.2018.05.012 · Cited by 16 · see citing works

Aberrant Connectivity During Pilocarpine-Induced Status Epilepticus

Cui, Y., Liu, J., Luo, Y., He, S., Xia, Y., Zhang, Y., Yao, D., & Guo, D. (2019) · International Journal of Neural Systems · doi:10.1142/s0129065719500291 · Cited by 16 · see citing works

The role of high-density EEG in diagnosis and prognosis of neurological diseases: A systematic review

Formica, C., Gjonaj, E., Bonanno, L., Quercia, A., Cartella, E., Romeo, L., Quartarone, A., Marino, S., & Salvo, S. D. (2025) · Clinical Neurophysiology · doi:10.1016/j.clinph.2025.03.026 · Cited by 15 · see citing works

A joint subspace mapping between structural and functional brain connectomes

Ghosh, S., Raj, A., & Nagarajan, S. S. (2023) · NeuroImage · doi:10.1016/j.neuroimage.2023.119975 · Cited by 13 · see citing works

XDL-ESI: Electrophysiological Sources Imaging via explainable deep learning framework with validation on simultaneous EEG and iEEG

Jiao, M., Xian, X., Wang, B., Zhang, Y., Yang, S., Chen, S. C., Sun, H., & Liu, F. (2024) · NeuroImage · doi:10.1016/j.neuroimage.2024.120802 · Cited by 13 · see citing works

Detection of Resting-State Functional Connectivity from High-Density Electroencephalography Data: Impact of Head Modeling Strategies

Taberna, G. A., Samogin, J., Marino, M., & Mantini, D. (2021) · Brain Sciences · doi:10.3390/brainsci11060741 · Cited by 12 · see citing works

Dynamics and Distant Effects of Frontal/Temporal Epileptogenic Focus Using Functional Connectivity Maps

Rajaei, H., Adjouadi, M., Cabrerizo, M., Janwattanapong, P., Pinzón, A., Gonzalez‐Arias, S., Barreto, A. B., Andrian, J. H., Rishe, N. D., & Yaylali, I. (2019) · IEEE Transactions on Biomedical Engineering · doi:10.1109/tbme.2019.2919263 · Cited by 12 · see citing works

Cognitive task-related functional connectivity alterations in temporal lobe epilepsy

Strýček, O., Lamoš, M., Klimeš, P., & Rektor, I. (2020) · Epilepsy & Behavior · doi:10.1016/j.yebeh.2020.107409 · Cited by 11 · see citing works

Suboptimal response to STN-DBS in Parkinson’s disease can be identified via reaction times in a motor cognitive paradigm

Bočková, M., Lamoš, M., Klimeš, P., Jurák, P., Halámek, J., Goldemundová, S., Baláž, M., & Rektor, I. (2020) · Journal of Neural Transmission · doi:10.1007/s00702-020-02254-3 · Cited by 10 · see citing works

Cortical network organization reflects clinical response to subthalamic nucleus deep brain stimulation in Parkinson's disease

Bočková, M., Výtvarová, E., Lamoš, M., Klimeš, P., Jurák, P., Halámek, J., Goldemundová, S., Baláž, M., & Rektor, I. (2021) · Human Brain Mapping · doi:10.1002/hbm.25642 · Cited by 10 · see citing works

Inferring Cortical Connectivity From ECoG Signals Using Graph Signal Processing

Tavildar, S., Mogen, B. J., Zanos, S. P., Seeman, S. C., Perlmutter, S. I., Fetz, E. E., & Ashrafi, A. (2019) · IEEE Access · doi:10.1109/access.2019.2934490 · Cited by 10 · see citing works

Brain Source Localization Using Stochastic Gradient Descent

Al-Momani, S., Mir, H., Al-Nashash, H. A., & Al‐Kaylani, M. (2020) · IEEE Sensors Journal · doi:10.1109/jsen.2020.3047666 · Cited by 9 · see citing works

Identifying dynamical characteristics of directed functional epilepsy networks from eigenmodes

Hou, S., Wang, H., Ying, Y., Liu, X., & Wang, Q. (2025) · Science China Technological Sciences · doi:10.1007/s11431-024-2828-0 · Cited by 8 · see citing works

Hybrid machine learning method for a connectivity-based epilepsy diagnosis with resting-state EEG

Rijnders, B., Korkmaz, E. E., & Yildirim, F. (2022) · Medical & Biological Engineering & Computing · doi:10.1007/s11517-022-02560-w · Cited by 8 · see citing works

EEG Feature Selection via Stacked Deep Embedded Regression With Joint Sparsity

Jiang, K., Tang, J., Wang, Y., Qiu, C., Zhang, Y., & Lin, C. (2020) · Frontiers in Neuroscience · doi:10.3389/fnins.2020.00829 · Cited by 8 · see citing works

Graph Neural Network Classification in EEG-Based Biometric Identification: Evaluation of Functional Connectivity Methods Using Time-Frequency Metric

Ashenaei, R., & Shirazi, A. A. B. (2025) · IEEE Access · doi:10.1109/access.2025.3590304 · Cited by 7 · see citing works

Imitation or Polarity Correspondence? Behavioural and Neurophysiological Evidence for the Confounding Influence of Orthogonal Spatial Compatibility on Measures of Automatic Imitation

Czekóová, K., Shaw, D. J., Lamoš, M., Špiláková, B., Salazar, M., & Brázdil, M. (2021) · Cognitive Affective & Behavioral Neuroscience · doi:10.3758/s13415-020-00860-y · Cited by 7 · see citing works

EEG Ictal Power Dynamics, Function-Structure Associations, and Epilepsy Surgical Outcomes

Gong, R., Roth, R. W., Chang, A. J., Sinha, N., Parashos, A., Davis, K. A., Kuzniecky, R., Bonilha, L., & Gleichgerrcht, E. L. (2024) · Neurology · doi:10.1212/wnl.0000000000209451 · Cited by 7 · see citing works

Small-World Propensity Reveals the Frequency Specificity of Resting State Networks

Iandolo, R., Semprini, M., Buccelli, S., Barban, F., Zhao, M., Samogin, J., Bonassi, G., Avanzino, L., Mantini, D., & Chiappalone, M. (2020) · IEEE Open Journal of Engineering in Medicine and Biology · doi:10.1109/ojemb.2020.2965323 · Cited by 6 · see citing works

Early functional changes in lewy body dementia: roles of dynamics, locus coeruleus, and compensation

Mitterová, K., Výtvarová, E., Kovářová, A., Lamoš, M., Fousek, J., & Rektorová, I. (2025) · Alzheimer s Research & Therapy · doi:10.1186/s13195-025-01828-1 · Cited by 6 · see citing works

How Expertise Changes Cortical Sources of EEG Rhythms and Functional Connectivity in Divers Under Simulated Deep-Sea Conditions

Formaggio, E., Storti, S. F., Pastena, L., Melucci, M., Ricciardi, L., Faralli, F., Gagliardi, R., & Menegaz, G. (2019) · IEEE Transactions on Neural Systems and Rehabilitation Engineering · doi:10.1109/tnsre.2019.2894848 · Cited by 4 · see citing works

Network coupling and surgical treatment response in temporal lobe epilepsy: A proof-of-concept study

Chang, A. J., Roth, R. W., Gong, R., Gross, R. E., Harmsen, I. E., Parashos, A., Revell, A. Y., Davis, K. A., Bonilha, L., & Gleichgerrcht, E. L. (2023) · Epilepsy & Behavior · doi:10.1016/j.yebeh.2023.109503 · Cited by 4 · see citing works

Exploring directed functional connectivity based on electroencephalography source signals using a global cortex factor-based multivariate autoregressive model

Wang, H., Wu, X., Wen, X., Lei, X., Gao, Y., & Yao, L. (2019) · Journal of Neuroscience Methods · doi:10.1016/j.jneumeth.2019.02.016 · Cited by 4 · see citing works

Brain network estimation from dense EEG signals : application to neurological disorders

Kabbara, A. (2018) · theses.fr (ABES) · doi:10.70675/d3d377dbze714z4938z995cz0e931172cb78 · Cited by 4 · see citing works

A meta-analysis to investigate the role of magnetic resonance spectroscopy in the detection of temporal lobe epilepsy

Cui, X., Zhong, D., & Zheng, J. (2022) · Advances in Clinical and Experimental Medicine · doi:10.17219/acem/152943 · Cited by 3 · see citing works

Automatic Detection of Epileptic Seizures Based on Entropies and Extreme Learning Machine

Cheng, X., Xu, M., & Han, M. (2017) · Lecture notes in computer science · doi:10.1007/978-3-319-70093-9_43 · Cited by 3 · see citing works

Intentional replantation of a mandibular molar with calcified canal: a case report.

Pm, T., Cp, C., Chen, C. C., & Tsai, A. I. (1996) · PubMed · Cited by 3 · see citing works

Multimodal Source Imaging: Basic Methods, Signal Processing Techniques, and Applications

Huiskamp, G. J. M., Oostendorp, T. F., & de Munck, J. C. (2016) · IEEE Transactions on Biomedical Engineering · doi:10.1109/tbme.2016.2620154 · Cited by 3 · see citing works

A framework for seizure detection using effective connectivity, graph theory and deep modular neural networksPreprint

Akbarian, B., & Erfanian, A. (2019) · arXiv (Cornell University) · doi:10.48550/arxiv.1909.03091 · Cited by 3 · see citing works

Functional Connectivity and Power Spectral Density Analysis of EEG Signals in Meditation

Attri, S., & Khanai, R. (2025) · doi:10.1109/icsc64553.2025.10969058 · Cited by 2 · see citing works

A geometry aware framework enhances noninvasive mapping of whole human brain dynamics

Wang, S., Lou, K., Wei, C., Sheng, Z., Tang, J., Peng, K., Shen, X., Mei, S., Chen, L., Gu, D., et al. (2026) · Nature Biomedical Engineering · doi:10.1038/s41551-026-01664-0 · Cited by 2 · see citing works

Memory retrieval in temporal lobe epilepsy is related to functional segregation of the mesiotemporal structures

Strýček, O., Lamoš, M., & Rektor, I. (2021) · Epilepsy & Behavior · doi:10.1016/j.yebeh.2021.108196 · Cited by 2 · see citing works

Functional Connectivity Metrics in Temporal Lobe Epilepsy: A Machine Learning Perspective With MEG

Suhas, M. V., Mariyappa, N., Kotegar, A. K., Mundlamuri, R. C., Raghavendra, K., Asranna, A., Viswanathan, L. G., Anitha, H., & Sinha, S. (2024) · IEEE Access · doi:10.1109/access.2024.3502227 · Cited by 2 · see citing works

Revealing connectivity patterns of deep brain stimulation efficacy in Parkinson’s disease

Výtvarová, E., Lamoš, M., Hlinka, J., Goldemundová, S., Rektor, I., & Bočková, M. (2024) · Scientific Reports · doi:10.1038/s41598-024-80630-9 · Cited by 2 · see citing works

Brain Connectivity Yields Insights into the Pathogenesis of Epilepsy and Subtypes: Evidence from Mendelian Randomization Analysis

He, Z., Tang, S., Hu, Y., Li, Y., Liang, J., Fang, L., Li, M., Chen, Z., & Zhou, Y. (2025) · Health Data Science · doi:10.34133/hds.0283 · Cited by 1 · see citing works

Exploring dynamics in learners’ cognitive engagement associated with learning activities using EEG microstate approach

Li, Y., He, X., Li, Y., Xiao, X., Li, R., Fang, J., & Zhou, R. (2025) · Thinking Skills and Creativity · doi:10.1016/j.tsc.2025.101911 · Cited by 1 · see citing works

Discrimination between focal epilepsy and generalized epilepsy based on the spatial patterns of EEG network

Chen, C., Liang, Y., Zhou, G., Xu, S., Li, C., Zhou, J., Luo, L., Yao, D., Xu, P., Li, F., et al. (2025) · Cognitive Neurodynamics · doi:10.1007/s11571-025-10361-8 · Cited by 1 · see citing works

Wireless electroencephalogram monitoring system for deciphering neurological disorders using brain connectivity patterns

Das, S. S., & Puthankattil, S. D. (2022) · Expert Systems · doi:10.1111/exsy.13016 · Cited by 1 · see citing works

Brain Connectivity Networks for the Study of Nonlinear Dynamics and Phase Synchrony in Epilepsy

Rajaei, H. (2018) · doi:10.25148/etd.fidc007025

Comparison of EEG source reconstructed functional networks in healthy subjects elicited during visual oddball taskPreprint

Thee, K. W., Nisar, H., Yeap, K. H., & Tan, W. M. (2019) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/639815

Enhancing EEG spacial resolution using ESI: a motor control study

Schmiele, E. F. (2019) · doi:10.14393/ufu.di.2020.40

Revealing Connectivity Patterns of Deep Brain Stimulation Efficacy in Parkinson’s DiseasePreprint

Bočková, M., Výtvarová, E., Lamoš, M., Hlinka, J., Goldemundová, S., & Rektor, I. (2024) · Research Square · doi:10.21203/rs.3.rs-3809906/v1

Seizure onset patterns and functional inter-ictal connectivity in focal epilepsies : SEEG studies

Lagarde, S. (2020) · doi:10.70675/28daf5c8za991z40d6zb9b1z150d938daff0

Source-Level Multiscale Granger Causality from Preictal Scalp EEG Identifies Candidate Seizure-Onset Zones in Drug-Resistant Focal Epilepsy

Kasradze, S., Parajuli, R., Lomidze, G., Epremidze, L., & Dhamala, M. (2026) · Brain Sciences · doi:10.3390/brainsci16111176

Directed functional connectivity in patients with focal epilepsy using high density scalp EEG

Luis Coito, A. L. (2016) · Archive ouverte UNIGE (University of Geneva) · doi:10.13097/archive-ouverte/unige:88143

Automatic diagnosis of temporal lobe epilepsy and its lateralization using EEG-based directed functional connectivity

Verhoeven, T., Coito, A. L., van Mierlo, P., Seeck, M., Michel, C. M., Plomp, G., Dambre, J., & Vulliémoz, S. (2016) · Ghent University Academic Bibliography (Ghent University)

Altered directed functional connectivity in temporal lobe epilepsy in the absence of interictal spikes: A high density EEG study.

Coito, A. L., Genetti, M., Pittau, F., Iannotti, G. R., Thomschewski, A. C., Höller, Y., Trinka, E., Wiest, R., Seeck, M., Michel, C. M., et al. (2016) · doi:10.7892/boris.81243 · Cited by 6 · see citing works

ID 316 – EEG resting-state directed connectivity in temporal lobe epilepsy vs healthy controls

Coito, A. L., Plomp, G., Abela, E., Iannotti, G. R., Thomschewski, A. C., Höller, Y., Trinka, E., Wiest, R., Seeck, M., Michel, C. M., et al. (2016) · Clinical Neurophysiology · doi:10.1016/j.clinph.2015.11.286

Dynamic directed interictal connectivity in left and right temporal lobe epilepsy

Coito, A. L., Plomp, G., Genetti, M., Abela, E., Wiest, R., Seeck, M., Michel, C. M., & Vulliémoz, S. (2015) · Epilepsia · doi:10.1111/epi.12904 · Cited by 143 · see citing works