Biomedical Engineering Reference
In-Depth Information
[29]
Titterington, D. M., “Common Structure of Smoothing Techniques in Statistics,”
Int.
Statist. Rev.,
Vol. 53, 1985, pp. 141-170.
[30]
Wahba, G.,
Spline Models for Observational Data,
Philadelphia, PA: SIAM, 1990.
[31]
Pascual-Marqui, R. D., “Reply to Comments by Hämäläinen, Ilmoniemi and Nunez,” in
Source Localization: Continuing Discussion of the Inverse Problem,
pp. 16-28, W.
Skrandies, (ed.), ISBET Newsletter No. 6 (ISSN 0947-5133), 1995, http://www.uzh.ch/
keyinst/NewLORETA/BriefHistory/LORETA-NewsLett2b.pdf.
[32]
Grave de Pealta, R., et al., “Noninvasive Localization of Electromagnetic Epileptic Activity.
I. Method Descriptions and Simulations,”
Brain Topog.,
Vol. 14, 2001, pp. 131-137.
[33]
Daunizeau, J., and K. J. Friston, “A Mesostate-Space Model for EEG and MEG,”
NeuroImage,
Vol. 38, 2007, pp. 67-81.
[34]
Mulert, C., et al., “Integration of fMRI and Simultaneous EEG: Towards a Comprehensive
Understanding of Localization and Time-Course of Brain Activity in Target Detection,”
NeuroImage,
Vol. 22, 2004, pp. 83-94.
[35]
Vitacco, D., et al., “Correspondence of Event-Related Potential Tomography and Func-
tional
Magnetic
Resonance
Imaging
During
Language
Processing,”
Human
Brain
Mapping,
Vol. 17, 2002, pp. 4-12.
[36]
Worrell, G. A., et al., “Localization of the Epileptic Focus by Low-Resolution Electromag-
netic Tomography in Patients with a Lesion Demonstrated by MRI,”
Brain Topography,
Vol. 12, 2000, pp. 273-282.
[37]
Pizzagalli, D. A., et al., “Functional but Not Structural Subgenual Prefrontal Cortex Abnor-
malities in Melancholia,”
Molec. Psychiatry,
Vol. 9, 2004, pp. 393-405.
[38]
Zumsteg, D., et al., “H2(15)O or 13NH3 PET and Electromagnetic Tomography
(LORETA) During Partial Status Epilepticus,”
Neurology,
Vol. 65, 2005, pp. 1657-1660.
[39]
Zumsteg, D., et al., “Cortical Activation with Deep Brain Stimulation of the Anterior
Thalamus for Epilepsy,”
Clin. Neurophysiol.,
Vol. 117, 2006, pp. 192-207.
[40]
Zumsteg, D., A. M. Lozano, and R. A. Wennberg, “Depth Electrode Recorded Cerebral
Responses with Deep Brain Stimulation of the Anterior Thalamus for Epilepsy,”
Clin.
Neurophysiol.,
Vol. 117, 2006, pp. 1602-1609.
[41]
Zumsteg, D., et al., “Propagation of Interictal Discharges in Temporal Lobe Epilepsy: Cor-
relation of Spatiotemporal Mapping with Intracranial Foramenovale Electrode Record-
ings,”
Clin. Neurophysiol.,
Vol. 117, 2006, pp. 2615-2626.
[42]
Volpe, U., et al., “The Cortical Generators of P3a And P3b: A LORETA Study,”
Brain Res.
Bull.,
Vol. 73, 2007, pp. 220-230.
[43]
Dale, A. M., et al., “Dynamic Statistical Parametric Mapping: Combining fMRI and MEG
for High-Resolution Imaging of Cortical Activity,”
Neuron,
Vol. 26, 2000, pp. 55-67.
[44]
Mardia, K. V., J. T. Kent, and J. M. Bibby,
Multivariate Analysis,
New York: Academic
Press, 1979.
[45]
Pascual-Marqui, R. D., “Standardized Low-Resolution Brain Electromagnetic Tomogra-
phy (sLORETA): Technical Details,”
Methods Findings Exper. Clin. Pharmacol.,
Vol. 24,
Suppl. D, 2002, pp. 5-12.
[46]
Sekihara, K., M. Sahani, and S. S. Nagarajan, “Localization Bias and Spatial Resolution of
Adaptive and Nonadaptive Spatial Filters for MEG Source Reconstruction,”
NeuroImage,
Vol. 25, 2005, pp. 1056-1067.
[47]
Greenblatt, R. E., A. Ossadtchi, A., and M. E. Pflieger, “Local Linear Estimators for the
Bioelectromagnetic Inverse Problem,”
IEEE Trans. on Signal Processing,
Vol. 53, 2005,
pp. 3403-3412.
[48]
Lin, F. H., et al., “Assessing and Improving the Spatial Accuracy in MEG Source Localiza-
tion by Depth-Weighted Minimum-Norm Estimates,”
NeuroImage,
Vol. 31, 2006,
pp. 160-171.
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