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Microstructural Parcellation of the Human Cerebral Cortex

Overview of attention for book
Cover of 'Microstructural Parcellation of the Human Cerebral Cortex'

Table of Contents

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    Book Overview
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    Chapter 1 The Cytoarchitectonic Map of Korbinian Brodmann: Arealisation and Circuit Specialisation
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    Chapter 2 The Cytoarchitectonic Map of Constantin von Economo and Georg N. Koskinas
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    Chapter 3 The Myeloarchitectonic Studies on the Human Cerebral Cortex of the Vogt-Vogt School, and Their Significance for the Interpretation of Functional Neuroimaging Data
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    Chapter 4 Estimating the Location of Brodmann Areas from Cortical Folding Patterns Using Histology and Ex Vivo MRI
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    Chapter 5 Database-Driven Identification of Functional Modules in the Cerebral Cortex
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    Chapter 6 Where Matters: New Approaches to Brain Analysis
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    Chapter 7 MRI Methods for In-Vivo Cortical Parcellation
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    Chapter 8 Visualizing Myeloarchitecture In Vivo with Magnetic Resonance Imaging in Common Marmosets ( Callithrix jacchus )
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    Chapter 9 High-Field Magnetic Resonance Mapping of the Border Between Primary Motor (Area 4) and Somatosensory (Area 3a) Cortex in Ex-Vivo and In-Vivo Human Brains
Attention for Chapter 5: Database-Driven Identification of Functional Modules in the Cerebral Cortex
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Citations

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Chapter title
Database-Driven Identification of Functional Modules in the Cerebral Cortex
Chapter number 5
Book title
Microstructural Parcellation of the Human Cerebral Cortex
Published by
Springer Berlin Heidelberg, May 2013
DOI 10.1007/978-3-642-37824-9_5
Book ISBNs
978-3-64-237823-2, 978-3-64-237824-9
Authors

Eickhoff, Simon B., Bzdok, Danilo

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 3 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 3 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 1 33%
Student > Doctoral Student 1 33%
Student > Master 1 33%
Readers by discipline Count As %
Computer Science 2 67%
Unknown 1 33%

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