Biomedical Engineering Reference
In-Depth Information
[108] Tallon-Baudry, C., et al., “Oscillatory Synchrony in the Monkey Temporal Lobe Correlates
with Performance in a Visual Short-Term Memory Task,”
Cereb. Cortex
, Vol. 14, 2004,
pp. 713-720.
[109] Gevins, A., et al., “Mapping Cognitive Brain Function with Modern High-Resolution Elec-
troencephalography [Review],”
Trends Neurosci.
, Vol. 18, 1995, pp. 429-436.
[110] Nolte, G., et al., “Identifying True Brain Interaction from EEG Data Using the Imaginary
Part of Coherency,”
Clin. Neurophysiol.
, Vol. 115, 2004, pp. 2292-2307.
[111] Schack, B., et al., “Adaptive Phase Estimation and Its Application in EEG Analysis of Word
Processing,”
J. Neurosci. Methods
, Vol. 93, 1999, pp. 49-59.
[112] Baccala, L. A., and K. Sameshima, “Partial Directed Coherence: A New Concept in Neural
Structure Determination,”
Biol. Cybern.
, Vol. 84, 2001, pp. 463-474.
[113] Baccala, L. A., and K. Sameshima, “Overcoming the Limitations of Correlation Analysis
for Many Simultaneously Processed Neural Structures,”
Prog. Brain Res.
, Vol. 130, 2001,
pp. 33-47.
[114] Bernasconi, C., and P. Konig, “On the Directionality of Cortical Interactions Studied by
Structural Analysis of Electrophysiological Recordings,”
Biol. Cybern.
, Vol. 81, 1999,
pp. 199-210.
[115] Brovelli, A., et al., “Beta Oscillations in a Large-Scale Sensorimotor Cortical Network:
Directional Influences Revealed by Granger Causality,”
Proc. Natl. Acad. Sci. USA
,
Vol. 101, 2004, pp. 9849-9854.
[116] Freiwald, W. A., et al., “Testing Non-Linearity and Directedness of Interactions Between
Neural Groups in the Macaque Inferotemporal Cortex,”
J. Neurosci. Methods
, Vol. 94,
1999, pp. 105-119.
[117] Ginter, J., Jr., et al., “Phase and Amplitude Analysis in Time-Frequency Space: Application
to Voluntary Finger Movement,”
J. Neurosci. Methods
, Vol. 110, 2001, pp. 113-124.
[118] Hesse, W., et al., “The Use of Time-Variant EEG Granger Causality for Inspecting Directed
Interdependencies
of
Neural
Assemblies,”
J.
Neurosci.
Methods
,
Vol.
124,
2003,
pp. 27-44.
[119] Kaminski, M. J., and K. J. Blinowska, “A New Method of the Description of the Informa-
tion Flow in the Brain Structures,”
Biol. Cybern.
, Vol. 65, 1991, pp. 203-210.
[120] Sameshima, K., and L. A. Baccala, “Using Partial Directed Coherence to Describe Neuronal
Ensemble Interactions,”
J. Neurosci. Methods
, Vol. 94, 1999, pp. 93-103.
[121] Krichmar, J. L., et al., “Spatial Navigation and Causal Analysis in a Brain-Based Device
Modeling
Cortical-Hippocampal
Interactions,”
Neuroinformatics
,
Vol.
3,
2005,
pp. 197-221.
[122] Seth, A. K., “Causal Connectivity of Evolved Neural Networks During Behavior,”
Net-
work
, Vol. 16, 2005, pp. 35-54.
[123] Cassidy, M., and P. Brown, “Spectral Phase Estimates in the Setting of Multidirectional
Coupling,”
J. Neurosci. Methods
, Vol. 127, 2003, pp. 95-103.
[124] Korzeniewska, A., et al., “Determination of Information Flow Direction Among Brain
Structures by a Modified Directed Transfer Function (dDTF) Method,”
J. Neurosci. Meth-
ods
, Vol. 125, 2003, pp. 195-207.
[125] Kus, R., M. Kaminski, and K. J. Blinowska, “Determination of EEG Activity Propagation:
Pair-Wise Versus Multichannel Estimate,”
IEEE Trans. on Biomed. Eng.
, Vol. 51, 2004,
pp. 1501-1510.
[126] Bendat, J. S., and A. G. Piersol,
Random Data: Analysis and Measurement Procedures
,
New York: Wiley-Interscience, 1971.
[127] Jenkins, G., and D. Watts,
Spectral Analysis and Its Applications
, San Francisco, CA:
Holden-Day, 1968.
[128] Babiloni, C., et al., “Directionality of EEG Synchronization in Alzheimer's Disease Sub-
jects,”
Neurobiol. Aging
, 2007.
Search WWH ::
Custom Search