Biblio

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Author [ Title(Desc)] Type Year
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A
Analyzing for information, not activation, to exploit high-resolution fMRI, Kriegeskorte, N., and Bandettini P. A. , NeuroImage, Volume 38, p.649-662, (2007)
Artefactual time-course correlations in echo-planar fMRI with implications for studies of brain function, Kriegeskorte, N., Bodurka J., and Bandettini P. A. , International Journal of Imaging Systems and Technology, Volume 18, Issue 5-6, p.345-349, (2008)
Artifacts in functional magnetic resonance imaging from gaseous oxygen., Bates, S., Yetkin Z., Jesmanowicz A., Hyde J. S., Bandettini P. A., Estkowski L., and Haughton V. M. , Journal of magnetic resonance imaging : JMRI, Volume 5, Issue 4, p.443 - 445, (1995)
Artificial shifting of fMRI activation localized by volume- and surface-based analyses, Jo, H. J., and Kim L. , NeuroImage, Volume 40, Issue 3, p.1077-1089, (2008)
Assessment of temporal state-dependent interactions between auditory fMRI responses to desired and undesired acoustic sources, Olulade, O., Hu S., Gonzalez-Castillo J., Tamer G. G. J., Luh W. M., Ulmer J. L., and Talavage T. M. , Hearing Research, Volume 277, Issue 1-2, p.67-77, (2011)
Auditory neuroimaging with fMRI and PET, Talavage, T. M., Gonzalez-Castillo J., and Scott S. K. , Hearing research, Volume 307, p.4–15, (2014)
C
Chapter 6 Hemodynamic Imaging: fMRI and PET, Talavage, T. M., Johnsrude I., and Gonzalez-Castillo J. , Springer Handbook on Auditory Research. Human Auditory Cortex., New York, (2012)
Characterization of cerebral blood oxygenation and flow changes during prolonged brain activation, Bandettini, P. A., Kwong K. K., Davis T. L., Tootell R. B. H., Wong E. C., Fox P. T., Belliveau J. W., Weisskoff R. M., and Rosen B. R. , Human Brain Mapping, Volume 5, Issue 2, p.93 - 109, (1997)
Characterizing and utilizing fMRI fluctuations, patterns, and dynamics, Bandettini, P. A., Kundu P., Gonzalez-Castillo J., Misaki M., and Guillod P. , SPIE Proceedings Medical Imaging, (2013)
Choosing the optimal pulse sequence for fMRI, Bandettini, P. A. , Functional Magnetic Resonance Imaging of the Brain: Methods for Neuroscience, p.123-143, (2001)
Cognitive Science Perspectives on Verb Representation and ProcessingNeural Processing of Verbal Event Structure: Temporal and Functional Dissociation Between Telic and Atelic Verbs, Malaia, E., Gonzalez-Castillo J., Weber-Fox C., Talavage T. M., and Wilbur R. B. , Cham, p.131 - 140, (2015)
Combining computer and human vision into a BCI: Can the whole be greater than the sum of its parts?, Pohlmeyer, Eric A., Jangraw David C., Wang Jun, Chang Shih-Fu, and Sajda Paul , 2010 32nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC 2010)2010 Annual International Conference of the IEEE Engineering in Medicine and Biology, Buenos Aires, (2010)
Combining the tools: activation- and information-based fMRI analysis, Kriegeskorte, N., and Bandettini P. A. , NeuroImage, Volume 38, p.666-668, (2007)
Comparison of continuous overt speech fMRI using BOLD and arterial spin labeling, Kemeny, S., Ye F. Q., Birn R., and Braun A. R. , Human Brain Mapping, Volume 24, Issue 3, p.173-183, (2005)
Comparison of multivariate classifiers and response normalizations for pattern-information fMRI, Misaki, M., Kim Y., Bandettini P. A., and Kriegeskorte N. , NeuroImage, Volume 53, p.103-118, (2010)
Comparison of simultaneously measured perfusion and bold signal increases during brain activation with T1-based tissue identification, Luh, W. M., Wong E. C., Bandettini P. A., Ward B. D., and Hyde J. S. , Magnetic Resonance in Medicine, Volume 44, Issue 1, p.137 - 143, (2000)
Connectivity trajectory across lifespan differentiates the precuneus from the default network, Yang, Zhi, Chang Catie, Xu Ting, Jiang Lili, Handwerker Daniel A., F. Castellanos Xavier, Milham Michael P., Bandettini Peter A., and Zuo Xi-Nian , NeuroImage, 04/2014, Volume 89, p.56, (2014)
The continuing challenge of understanding and modeling hemodynamic variation in fMRI, Handwerker, D. A., Gonzalez-Castillo J., D'Esposito M., and Bandettini P. A. , NeuroImage, Volume 62, Issue 2, p.1712-1719, (2012)

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  • National Institute of Health
  • National Institute of Mental Health
  • Department of Health and Human Services