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Electric Fields Of The Brain
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- 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]
- 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]
- 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]
- 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]
- 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]
- 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]
- 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]
- 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]
- 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]
- 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]
- 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]
- 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]
- 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]
- 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]
- 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]
- 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]
- 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]
- 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.
- Winter, W.,
Deng, S., Srinivasan, R. (2012) Scalp thickness adjustment of Laplacian estimates of cortical potential, International Journal of
Bioelectromagnetism, 14:56-9. [Link]
- 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]
- Bridwell, D.A., Srinivasan, R. (2012). Distinct attention networks for feature enhancement and suppression in vision. Psychological Science. 23(1):1151-1158. [Link]
- 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]
- 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]
- Deng, S.,
Winter, W., Thorpe, S., Srinivasan, R. (2011) EEG surface Laplacian using
realistic head geometry, International Journal of Bioelectromagnetism,
13:173-177. [Link]
- 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]
- Srinivasan,
R. (2011) Signal Acquisition: EEG and MEG, in Wolpaw, J et al.,
(ed.) Brain-Computer Interfaces for communication and control, Oxford,
New York.
- 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]
- 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]
- 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]
- 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]
- 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]
- 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]
- 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]
- 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]
- 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]
- 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]
- 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]
- 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]
- 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]
- 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]
- 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]
- 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]
- 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]
- Nunez, P.L., and Srinivasan, R. (2006) Electric Fields of the Brain: The Neurophysics of EEG, 2nd Ed. Oxford University Press, New York. [Preview]
- 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]
- 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]
- 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]
- 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]
- 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]
- Srinivasan, R. (2003) High-resolution EEG: Theory and Practice. in (T.C. Handy, ed.) Event-related brain potentials: A Methods Handbook. MIT Press.
- Habeck, C.G., and Srinivasan, R. (2000) Natural solutions to the problem of functional integration. Behavioral and Brain Sciences, 23:402-403. [Link]
- Srinivasan, R. (1999) Methods to improve the spatial resolution of EEG. International Journal of Bioelectromagnetism, 1:102-111.[Link]
- Srinivasan,
R. (1999) Spatial structure of the human alpha rhythm: global
correlation in adults and local correlation in children. Clinical Neurophysiology, 110:1351-1362.
- 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]
- 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]
- 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]
- 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]
- 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.
- 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]
- 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]
- 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.
- 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]
- 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]
- 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.
- 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
![](images/Custom%20Graphics/sidebargraphic2.png)
Realistic shaped Boundary element Model (BEM) of the head
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Topography of ADHD group coherence elevation at 8 Hz in the alert interval
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