Electric Fields
Of The Brain

  
 

  1. Hasan,R., Srinivasan, R., Grossman, E. (2017). Feature-based attentional tuning during biological motion detection measured with SSVEP Journal of Vision,doi:10.1167/17.9.22. [Link]

  2. Dennison, M.S., Wisti, A.Z., and D'Zmura, M. (2016). Use of physiological signals to predict cybersickness. Displays, 42:52 doi:10.1016/j.displa.2016.07.002. [Link]

  3. Dennison, M.S., and D'Zmura, M. (2016). Cybersickness without the wobble: Experimental results speak against postural instability theory. Applied Ergonomics, 215:223 doi:10.1016/j.apergo.2016.06.014. [Link]

  4. Norman, S., Dennison, M.S., Wolbrecht, E., Cramer, S., Srinivasan, R. and Reinkensmeyer, D. (2016). Movement Anticipation and EEG: Implications for BCI-Contingent Robot Therapy. IEEE Transactions on Neural Systems and Rehabilitation Engineering, doi:10.1109/TNSRE.2016.2528167. [Link]

  5. Baltzell, L.S., Horton, C., Shen, Y., Richards, V.M., and Srinivasan, R. (2016). Attention selectively modulates cortical entrainment in different regions of the speech spectrum. Brain Research, 1644:1 doi:10.1016/j.brainres.2016.05.029. [Link]

  6. Wu, J., Srinivasan, R., Quinlan, E.B., Solodkin, A., Small, S.L. and Cramer, S.C. (2016). Utility of EEG measures of brain function in patients with acute stroke. Journal of Neurophysiology, 115(5):2399-2405. doi:10.1152/jn.00978.2015. [Link]

  7. Nunez, M.D., Vandekerckhove J., and Srinivasan, R. (2017). How attention influences perceptual decision making: Single-trial EEG correlates of drift-diffusion model parameters Journal of Mathematical Psychology, doi:10.1016/j.jmp.2016.03.003 [Link]

  8. Nunez, M.D., Srinivasan, R., and Vandekerckhove J. (2015). Individual differences in attention influence perceptual decision making. Frontiers in Psychology, 6:18 doi:10.3389/fpsyg.2015.00018. [Link]

  9. Nunez, P.L., Srinivasan, R., and Fields, R.D. (2015). EEG functional connectivity, axon delays and white matter disease. Clinical Neurophysiology, 126(1): 110-120. doi:10.1016/j.clinph.2014.04.003. [Link]

  10. Nunez, P.L., and Srinivasan, R. (2014). Neocortical dynamics due to axon propagation delays in cortico-cortical fibers: EEG traveling and standing waves with implications for top-down influences on local networks and white matter disease. Brain Research, 1542, 138-166. doi:10.1016/j.brainres.2013.10.036. [Link]
  1. Horton, C., Srinivasan, R., & D’Zmura, M. (2014). Envelope responses in single-trial EEG indicate attended speaker in a ‘cocktail party’. Journal of neural engineering, 11(4), 046015. doi:10.1088/1741-2560/11/4/046015. [Link]

  2. Bridwell, D.A., Hecker, E.A., Serences, J.T., Srinivasan, R. (2013). Individual differences in attention strategies during detection, fine discrimination, and coarse discrimination. Journal of Neurophysiology, 110(3):784-794. doi:10.​1152/​jn.00520.2012. [Link]

  3. Wu, J., Srinivasan, R., Kaur, A. and Cramer, S.C. (2014). Resting-state cortical connectivity predicts motor skill acquisition. NeuroImage, 91:84-90. doi:10.1016/j.neuroimage.2014.01.026. [Link]

  4. Srinivasan, R., Thorpe, S., Nunez, P.L. (2013). Top-down influences on local networks: basic theory with experimental implications. Frontiers in Computational Neuroscience, doi: 10.3389/fncom.2013.00029. [Link]

  5. Garcia, J.O., Srinivasan, R., Serences, J.T. (2013). Near-real-time feature-selective modulations in human cortex. Current Biology, 23(6):515-522. [Link]

  6. Krishnan, L., Kang, A., Sperling, G., Srinivasan, R. (2013). Neural strategies for selective attention distinguish fast-action video game players. Brain Topography, 26(1):83-97. [Link]
  1. Horton, C., D'Zmura, M., Srinivasan, R. (2013). Suppression of competing speech through entrainment of cortical oscillations. Journal of Neurophysiology, 109(12):3082-3093. doi:10.1152/jn.01026.2012. [Link]
  1. Nunez, P.L., Srinivasan, R., Ingber, L. (2012) Theoretical and experimental electrophysiology in human neocortex: multiscale dynamic correlates of conscious experience, in multiscale analysis and nonlinear dynamics, M Pesenson (ed), Wiley, New York.
  1. Winter, W., Deng, S., Srinivasan, R. (2012) Scalp thickness adjustment of Laplacian estimates of cortical potential, International Journal of Bioelectromagnetism, 14:56-9. [Link]
  1. Srinivasan, R., and Deng, S. (2012). Multivariate spectral analysis of EEG: power, coherence and second-order blind identification. (H. Liang, J.D. Bronzino, and D.R. Peterson, eds.) in Biosignal Processing: Principles and Practices, CRC Press. doi:10.1201/b12941-4. [Link]

  2. Bridwell, D.A., Srinivasan, R. (2012). Distinct attention networks for feature enhancement and suppression in vision. Psychological Science. 23(1):1151-1158. [Link]

  3. Deng, S., Winter, W., Thorpe, S., Srinivasan, R. (2012). Improved surface Laplacian estimates of cortical potential using realistic models of head geometry. IEEE Transactions in Biomedical Engineering, 59(11):2979-85. [Link]
  1. Diwakar, M., Tal, O., Liu, T. T., Harrington, D. L., Srinivasan, R., Muzzatti, L., & Huang, M. X. (2011). Accurate reconstruction of temporal correlation for neuronal sources using the enhanced dual-core MEG beamformer. NeuroImage, 56(4), 1918-1928. doi:10.1016/j.neuroimage.2011.03.042. [Link]
  1. Deng, S., Winter, W., Thorpe, S., Srinivasan, R. (2011) EEG surface Laplacian using realistic head geometry, International Journal of Bioelectromagnetism, 13:173-177. [Link]
  1. Horton, C., D’Zmura, M., Srinivasan, R. (2011) EEG reveals divergent paths for speech envelopes during selective attention, International Journal of Bioelectromagnetism, 13:217-222. [Link]
  1. Srinivasan, R. (2011)  Signal Acquisition: EEG and MEG, in Wolpaw, J et al., (ed.) Brain-Computer Interfaces for communication and control, Oxford, New York.
  1. Garcia, J.O., Grossman, E.D., Srinivasan, R. (2011).Evoked potentials in large-scale cortical networks elicited by TMS of the visual cortex. Journal of Neurophysiology, 106(4):1734-1746. [Link]

  2. Thorpe, S., D'Zmura, M., and Srinivasan, R. (2011). Lateralization of frequency specific networks for covert attention to auditory stimuli. Journal of Brain Topography, 25(1):39-54. doi: 10.1007/s10548-011-0186-x. [Link]

  3. Diwakar, M., Huang, M.X., Srinivasan, R., Harrington, D., Robb, A., Angeles, A., Muzzatti, L., Pakdaman, R., Song, T., Theilmann, R.J., Lee, R.R. (2011) Dual-core beamformer for obtaining highly correlated neuronal networks in MEG, NeuroImage 54;253-263. [Link]
  1. Nunez, P. L., & Srinivasan, R. (2010). Scale and frequency chauvinism in brain dynamics: too much emphasis on gamma band oscillations. Brain Structure and Function, 215(2), 67-71. doi: 10.1007/s00429-010-0277-6. [Link]
    2.
  1. Deng, S., and Srinivasan, R. (2010). Semantic and acoustic analysis of speech by functional networks with distinct time scales. Brain Research, 1346, 132-144. [Link]

  2. Deng, S., Srinivasan, R., Lappas, T., and D'Zmura, M. (2010). EEG classification of imagined syllable rhythm using Hilbert spectrum methods. Journal of Neural Engineering, 7, 046006. [Link]

  3. Sutoyo, D., and Srinivasan, R. (2009). Nonlinear SSVEP responses are sensitive to the perceptual binding of visual hemifields during conventional 'eye' rivalry and interocular 'percept' rivalry. Brain Research, 1251, 245-55. [Link]

  4. D'Zmura, M., Deng, S., Lappas, T., Thorpe, S., and Srinivasan, R. (2009). Toward EEG sensing of imagined speech. Jacko, J.A., (Ed.): Human-Computer Interaction, Part I, HCII, LNCS 5610:40-48 (Berlin: Springer). [Link]

  5. Srinivasan, R., Thorpe, S., Deng, S., Lappas, T., and D'Zmura, M. (Ed.). (2009). Decoding attentional orientation from EEG spectra. Jacko, J.A., (Ed.): Human-Computer Interaction, Part I, HCII, LNCS 5610:176-183 (Berlin: Springer). [Link]

  6. Nunez, P.L., and Srinivasan, R. (2007). Hearts don't love and brains don't pump - neocortical dynamic correlates of conscious experience. Journal of Consciousness Studies, 14(8), 20-34. [Link]

  7. Murias, M., Swanson, J.M., and Srinivasan, R. (2007). Functional connectivity of frontal cortex in healthy and ADHD children reflected in EEG coherence. Cerebral Cortex, 17(8), 1788-99. [Link]

  8. Thorpe, S.G., Nunez, P.,L.; and Srinivasan, R. (2007) Identification of wave-like spatial structure in the SSVEP: Comparison of simultaneous EEG and MEG. Statistics in Medicine, 26:3911-3926. [Link]

  9. Srinivasan, R., Winter, W.R., Ding, J., and Nunez, P.L. (2007). EEG and MEG coherence: measures of functional connectivity at distinct spatial scales of neocortical dynamics. Journal of Neuroscience Methods, 166(1), 41-52. [Link]

  10. Winter, W., Nunez, P.,L., Ding, J.,D., and Srinivasan, R. (2007) Comparison of the effect of volume conduction on EEG coherence with the effect of field spread on MEG coherence. Statistics in Medicine, 26:3946 - 3957. [Link]

  11. Srinivasan, R., Fornari, E., Knyazeva, M. G., Meuli, R., and Maeder, P. (2007). fMRI responses in medial frontal cortex that depend on the temporal frequency of visual input. Experimental Brain Research, 180(4), 677-91. [Link]

  12. Srinivasan, R. (2006). Anatomical constraints on source models for high-resolution EEG and MEG derived from MRI. Technology in Cancer Research and Treatment, 5(4), 389-99. [Link]

  13. Nunez, P.L., and Srinivasan, R. (2006) A theoretical basis for standing and traveling brain waves measured with human EEG with implications for an integrated consciousness. Clinical Neurophysiology, 117(11): 2424-2435. [Link]

  14. Nunez, P.L., and Srinivasan, R. (2006) Electric Fields of the Brain: The Neurophysics of EEG, 2nd Ed. Oxford University Press, New York. [Preview]

  15. Srinivasan, R., and Petrovic, S. (2006) MEG phase follows conscious perception during binocular rivalry induced by visual stream segregation. Cerebral Cortex, 16(5):597-608. [Link]

  16. Ding, J., D. Sperling, G., and Srinivasan, R. (2006) Attentional Modulation of SSVEP power depends on network tagged by flicker frequency. Cerebral Cortex, 16: 1016-1029. [Link]

  17. Srinivasan, R., Alouani Bibi, F., and Nunez, P.L. (2006). Steady-state visual evoked potentials: distributed local sources and wave-like dynamics are sensitive to flicker frequency. Brain Topography, 18(3):167-187. [Link]

  18. Srinivasan, R., Winter, W.R., and Nunez, P.L. (2006). Source analysis of EEG oscillations using high-resolution EEG and MEG. Progress in Brain Research, 159, 29-42. [Link]

  19. Srinivasan, R. (2004). Internal and external neural synchronization during conscious perception. International Journal of Bifurcation and Chaos in Applied Sciences and Engineering, 14(2), 825-842. [Link]

  20. Srinivasan, R. (2003) High-resolution EEG: Theory and Practice. in (T.C. Handy, ed.) Event-related brain potentials: A Methods Handbook. MIT Press.

  21. Habeck, C.G., and Srinivasan, R. (2000) Natural solutions to the problem of functional integration. Behavioral and Brain Sciences, 23:402-403. [Link]

  22. Srinivasan, R. (1999) Methods to improve the spatial resolution of EEG. International Journal of Bioelectromagnetism, 1:102-111.[Link]

  23. Srinivasan, R. (1999) Spatial structure of the human alpha rhythm: global correlation in adults and local correlation in children. Clinical Neurophysiology, 110:1351-1362.

  24. Srinivasan, R., Russell, D., P., Edelman, G., M., and Tononi, G. (1999). Increased synchronization of neuromagnetic responses during conscious perception. Journal of Neuroscience, 19(13):5435-5448. [Link]

  25. Nunez, P.L., Silberstein, R.B., Shi, Z., Carpenter, M.R., Srinivasan, R., Tucker, D.M., Doran, S.M., Cadusch, P.J., and Wijesinghe, R.S. (1999) EEG Coherency II: Experimental comparison of multiple measures. Clinical Neurophysiology, 110:469-486. [Link]

  26. Russell, G.S., Srinivasan, R., and Tucker, D.M. (1998) Bayesian estimates of error bounds for EEG source imaging, IEEE Transactions on Medical Imaging, 17:1084-1089. [Link]

  27. Srinivasan, R., Murias, M., and Tucker, D.M. (1998) Estimating the spatial Nyquist of EEG Behavior Research Methods, Instruments, and Computers, 30:8-19. [pdf]

  28. Srinivasan, R., Nunez, P.L., and Silberstein, R.B. (1998) Spatial filtering and neocortical dynamics: estimates of EEG coherence. IEEE Transactions on Biomedical Engineering, 45:814-826.

  29. Tononi, G., Srinivasan, R., Russell, D.P., and Edelman, G.M. (1998) Investigating neural correlates of conscious perception by frequency tagged neuromagnetic responses. Proceedings of the National Academy of the Sciences , 95:3198-3203. [Link]

  30. Nunez, P.L., Srinivasan, R., Wu, X., Wijesinghe, R.S., Tucker, D.M., Cao, G., and Silberstein, R.B. (1997) EEG Coherency I: Statistics, Reference Electrode, Volume Conduction, Laplacians, and Physiological Interpretation, Electroencephalography and Clinical Neurophysiology, 103:499-515. [Link]

  31. Ingber, L., Srinivasan, R., and Nunez, P.L. (1996) Path-integral evolution of chaos embedded in noise: Duffing neocortical analog. Journal of Mathematical Modelling and Scientific Computing, 23(3):43-53.

  32. Srinivasan, R., Nunez, P.L., Tucker, D.M., Silberstein, R.B., and Cadusch, P.J. (1996) Spatial sampling and filtering of EEG with spline Laplacians to estimate cortical potentials. BrainTopography, 8:355-366. [Link]

  33. Nunez, P.L., Silberstein, R.B., Cadusch, P.J., Wijesinghe, R.S., Westdorp, A.F., and Srinivasan, R. (1994) A theoretical and experimental study of high resolution EEG based on surface Laplacians and cortical imaging. Electroencephalography and Clinical Neurophysiology, 90:40-57. [Link]

  34. Srinivasan, R., and Nunez, P.L. (1993) Neocortical Dynamics, EEG Standing Waves, and Chaos. Nonlinear Dynamical Analysis of the EEG. B.H. Jansen and M. Brandt (Eds.), World Scientific Press, Singapore.

  35. Nunez, P.L., and Srinivasan, R. (1993). Implications of recording strategy for estimates of neocortical dynamics with electroencephalography. Chaos, 3(2), 257-266. [Link]
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fMRI response in medial frontal cortex that depends on the temporal frequency of visual input



Realistic shaped Boundary element Model (BEM) of the head



Topography of ADHD group coherence elevation at 8 Hz in the alert interval