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Dynamic Brain Imaging

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Cover of 'Dynamic Brain Imaging'

Table of Contents

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    Book Overview
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    Chapter 1 Dynamic Imaging of Brain Function
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    Chapter 2 Fractal Characterization of Complexity in Dynamic Signals: Application to Cerebral Hemodynamics
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    Chapter 3 Wide-Field and Two-Photon Imaging of Brain Activity with Voltage and Calcium-Sensitive Dyes
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    Chapter 4 Two-Photon Imaging of Capillary Blood Flow in Olfactory Bulb Glomeruli
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    Chapter 5 Astrocytic Calcium Signaling: Mechanism and Implications for Functional Brain Imaging
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    Chapter 6 Using the Light Scattering Component of Optical Intrinsic Signals to Visualize In Vivo Functional Structures of Neural Tissues
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    Chapter 7 Methods for Studying Functional Interactions Among Neuronal Populations
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    Chapter 8 Magnetoencephalography (MEG)
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    Chapter 9 Functional Neuroimaging of Spike-Wave Seizures
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    Chapter 10 Tactile and Non-tactile Sensory Paradigms for fMRI and Neurophysiologic Studies in Rodents
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    Chapter 11 Using fMRI for Elucidating Dynamic Interactions
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    Chapter 12 Resting-State Functional Connectivity in Animal Models: Modulations by Exsanguination
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    Chapter 13 Dynamic Magnetic Resonance Imaging of Cerebral Blood Flow Using Arterial Spin Labeling
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    Chapter 14 Dynamic MRI of small electrical activity.
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    Chapter 15 Advanced In Vivo Heteronuclear MRS Approaches for Studying Brain Bioenergetics Driven by Mitochondria
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Title
Dynamic Brain Imaging
Published by
Humana Press, October 2008
DOI 10.1007/978-1-59745-543-5
ISBNs
978-1-934115-74-9, 978-1-59745-543-5
Editors

Hyder, Fahmeed

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 324 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 13 4%
Japan 3 <1%
France 2 <1%
Brazil 2 <1%
Denmark 2 <1%
Austria 1 <1%
Italy 1 <1%
Canada 1 <1%
Iran, Islamic Republic of 1 <1%
Other 6 2%
Unknown 292 90%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 77 24%
Researcher 77 24%
Student > Master 40 12%
Professor > Associate Professor 37 11%
Student > Bachelor 18 6%
Other 46 14%
Unknown 29 9%
Readers by discipline Count As %
Agricultural and Biological Sciences 89 27%
Neuroscience 71 22%
Medicine and Dentistry 43 13%
Engineering 27 8%
Psychology 16 5%
Other 42 13%
Unknown 36 11%