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Books on the topic 'Topographic Brain Mapping'

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Author: Grafiati
Published: 4 June 2021
Last updated: 4 February 2022

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1

Duffy, Frank H., Vasudeva G. Iyer, and Walter W. Surwillo. Clinical Electroencephalography and Topographic Brain Mapping. New York, NY: Springer New York, 1989. http://dx.doi.org/10.1007/978-1-4613-8826-5.

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2

Thomas, Dierks, ed. Atlas of brain mapping: Topographic mapping of EEG and evoked potentials. Berlin: Springer-Verlag, 1991.

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3

G, Iyer V., and Surwillo Walter W, eds. Clinical electroencephalography and topographic brain mapping: Technology and practice. New York: Springer-Verlag, 1989.

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4

Maurer, Konrad, ed. Topographic Brain Mapping of EEG and Evoked Potentials. Berlin, Heidelberg: Springer Berlin Heidelberg, 1989. http://dx.doi.org/10.1007/978-3-642-72658-3.

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5

Harold, Weinberg, and Bencivenga Roberto Ph D, eds. Introduction to brain topography. New York: Plenum Press, 1991.

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6

World Congress of the International Society for Brain (15th 2004 Urayasu, Japan). Frontiers in human brain topography: Proceedings of the 15th World Congress of the International Society for Brain Electromagnetic Topography (ISBET 2004) held in Urayasu, Japan between 11 and 14 April 2004. Edited by Nakagawa Masafumi. Amsterdam: Elsevier, 2004.

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7

Professor, Koga Yoshihiko, Nagata Ken, and Hirata Koichi, eds. Brain topography today: Proceedings of the III Pan-Pacific Conference on Brain Topography (BTOPPS III), Tokyo Bay, Japan, April 1-4, 1997. Amsterdam: Elsevier, 1998.

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8

International Society for Brain Electromagnetic Topography. World Congress. Recent advances in human brain mapping: Proceedings of the 12th World Congress of the International Society for Brain Electromagnetic Topography (ISBET 2001). Edited by Hirata Koichi. Amsterdam ;$aNew york: Elsevier, 2002.

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9

H, Duffy Frank, ed. Topographic mapping of brain electrical activity. Boston: Butterworth, 1986.

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10

Topographic Mapping of Brain Electrical Activity. Elsevier, 1986. http://dx.doi.org/10.1016/c2013-0-06308-6.

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11

H, Duffy Frank, ed. Topographic mapping of brain electrical activity. Boston: Butterworths, 1986.

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12

Clinical Electroencephalography and Topographic Brain Mapping: Technology and Practice. Springer, 2011.

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13

1943-, Maurer Konrad, ed. Topographic brain mapping of EEG and evoked potentials. Berlin: Springer-Verlag, 1989.

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14

Maurer, Konrad, and F. H. Duffy. Topographic Brain Mapping of EEG and Evoked Potentials. Springer, 2011.

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15

Atlas of Brain Mapping: Topographic Mapping of EEG and Evoked Potentials. Springer, 2011.

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16

Maurer, Konrad, and Thomas Dierks. Atlas of Brain Mapping: Topographic Mapping of EEG and Evoked Potentials. Springer, 2012.

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17

Clinical Electroencephalography and Topographic Brain Mapping: Technology and Practice. Springer-Verlag Berlin and Heidelberg GmbH & Co. KG, 1989.

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18

Iyer, Vasudeva G., Walter W. Surwillo, and Frank H. Duffy. Clinical Electroencephalography and Topographic Brain Mapping: Technology and Practice. Springer, 2012.

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19

(Editor), Masafumi Nakagawa, Koichi Hirata (Editor), Yoshihiko Koga (Editor), and Ken Nagata (Editor), eds. Frontiers in Human Brain Topography: Proceedings of the 15th World Congress of the International Society for Brain Electromagnetic Topography (ISBET 2004)held ... 2004, ICS 1270 (International Congress). Elsevier, 2004.

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20

Michel, Christoph M., and Bin He. EEG Mapping and Source Imaging. Edited by Donald L. Schomer and Fernando H. Lopes da Silva. Oxford University Press, 2017. http://dx.doi.org/10.1093/med/9780190228484.003.0045.

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Abstract:
This chapter describes methods to analyze the scalp electric field recorded with multichannel electroencephalography (EEG). With advances in high-density EEG, systems now allow fast and easy recording from 64 to 256 channels simultaneously. Pattern-recognition algorithms can characterize the topography of scalp electric fields and detect changes in topography over time and between experimental or clinical conditions. Methods for estimating the sources underlying the recorded scalp potential maps have increased the spatial resolution of EEG. The use of anatomical information in EEG source reconstruction has increased the precision of EEG source localization. Algorithms of functional connectivity applied to the source space allow determination of communication between large-scale brain networks in certain frequencies and identification of the directionality of this information flow and detection of crucial drivers in these networks. These methods have boosted the use of EEG as a functional neuroimaging method in experimental and clinical applications.
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