Computational and Mathematical Methods in Medicine

Graph Theoretical Approaches in Brain Networks


Publishing date
06 Jul 2012
Status
Published
Submission deadline
17 Feb 2012

1Sapienza University of Rome, Roma, Italy

2University of California, Santa Barbara, CA, USA

3Chinese Academy of Sciences, Beijing, China


Graph Theoretical Approaches in Brain Networks

Description

Over the last decade, there has been growing interest in the study of brain networks. As other systems in nature, anatomical or functional brain networks can exhibit a certain level of complexity related to the emergence of nontrivial connectivity patterns in physiological as well as in pathological conditions. In simple networks of few cortical regions, as well as in those describing functional bindings between the activities of different brains, the need to extract the characteristic properties from the intermingled structure of those connectivity patterns led to an innovative use of a well-established mathematical framework, that is, graph theory.

The main focus of this special issue will be on the use of new and existing network analyses, the goal of which is to have a clearer understanding of the anatomical structure and functional dynamics of the brain.

The present special issue is intended to be an international space for researchers to summarize the most recent developments and ideas in the field, with a special emphasis given to the methodological and clinical results obtained within the last five years. Potential topics include, but are not limited to:

  • Graph methods for brain networks
  • Structure and dynamics of brain networks
  • The brain's default-mode and cognitive networks
  • Time-varying brain networks
  • Inter-brain connectivity and social behavior
  • The human “Connectome” and “Brainnetome” projects
  • Computational models of brain networks
  • Statistical approaches to identify group and task differences
  • Prediction and classification methods for brain networks
  • Applications to real neuroscientific and neuropsychiatric data (EEG, fMRI, MEG, NIRS)

Before submission authors should carefully read over the journal's Author Guidelines, which are located at http://www.hindawi.com/journals/cmmm/guidelines/. Prospective authors should submit an electronic copy of their complete manuscript through the journal Manuscript Tracking System at http://mts.hindawi.com/ according to the following timetable:


Articles

  • Special Issue
  • - Volume 2012
  • - Article ID 590483
  • - Editorial

Graph Theoretical Approaches in Brain Networks

Fabrizio De Vico Fallani | Danielle Bassett | Tianzi Jiang
  • Special Issue
  • - Volume 2012
  • - Article ID 967380
  • - Research Article

A Computationally Efficient, Exploratory Approach to Brain Connectivity Incorporating False Discovery Rate Control, A Priori Knowledge, and Group Inference

Aiping Liu | Junning Li | ... | Martin J. McKeown
  • Special Issue
  • - Volume 2012
  • - Article ID 207305
  • - Research Article

Redundancy as a Graph-Based Index of Frequency Specific MEG Functional Connectivity

Claudia Di Lanzo | Laura Marzetti | ... | Vittorio Pizzella
  • Special Issue
  • - Volume 2012
  • - Article ID 452503
  • - Research Article

Source Space Analysis of Event-Related Dynamic Reorganization of Brain Networks

Andreas A. Ioannides | Stavros I. Dimitriadis | ... | Nikolaos A. Laskaris
  • Special Issue
  • - Volume 2012
  • - Article ID 186353
  • - Research Article

Weighted Phase Lag Index and Graph Analysis: Preliminary Investigation of Functional Connectivity during Resting State in Children

Erick Ortiz | Krunoslav Stingl | ... | Paolo Belardinelli
  • Special Issue
  • - Volume 2012
  • - Article ID 451516
  • - Research Article

A Signal-Processing-Based Approach to Time-Varying Graph Analysis for Dynamic Brain Network Identification

Ali Yener Mutlu | Edward Bernat | Selin Aviyente
  • Special Issue
  • - Volume 2012
  • - Article ID 130985
  • - Research Article

How the Statistical Validation of Functional Connectivity Patterns Can Prevent Erroneous Definition of Small-World Properties of a Brain Connectivity Network

J. Toppi | F. De Vico Fallani | ... | L. Astolfi
  • Special Issue
  • - Volume 2012
  • - Article ID 615709
  • - Research Article

Voxel Scale Complex Networks of Functional Connectivity in the Rat Brain: Neurochemical State Dependence of Global and Local Topological Properties

Adam J. Schwarz | Alessandro Gozzi | ... | Angelo Bifone
Computational and Mathematical Methods in Medicine
 Journal metrics
Acceptance rate32%
Submission to final decision46 days
Acceptance to publication39 days
CiteScore3.400
Impact Factor1.770
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