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Open AccessJournal ArticleDOI

Network Organization Is Globally Atypical in Autism: A Graph Theory Study of Intrinsic Functional Connectivity

Christopher L. Keown, +7 more
- 01 Jan 2017 - 
- Vol. 2, Iss: 1, pp 66-75
TLDR
The model of reduced network integration and differentiation (or segregation; based on connectivity outside network boundaries) in ASD support the model of atypical network distribution in ASD.
About: 
This article is published in Biological Psychiatry: Cognitive Neuroscience and Neuroimaging.The article was published on 2017-01-01 and is currently open access. It has received 85 citations till now.

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Citations
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Journal ArticleDOI

Application of Graph Theory for Identifying Connectivity Patterns in Human Brain Networks: A Systematic Review.

Farzad V. Farahani, +2 more
- 06 Jun 2019 - 
TL;DR: A systematic review of the existing functional and effective connectivity methods used to construct the brain network, along with their advantages and pitfalls, to provide insight into how to utilize graph theoretical measures to make neurobiological inferences regarding the mechanisms underlying human cognition and behavior as well as different brain disorders.
Journal ArticleDOI

Atypical functional connectome hierarchy in autism

Seok-Jun Hong, +12 more
- 01 May 2018 - 
TL;DR: Evidence of atypical connectivity transitions between sensory and higher-order cortical areas in people with ASD is provided, which could underlie the diverse symptoms.
Journal ArticleDOI

Abnormal thalamocortical network dynamics in migraine.

Yiheng Tu, +12 more
- 04 Jun 2019 - 
TL;DR: Interestingly, it was found that abnormal posterior thalamus (pulvinar nucleus) dFNC with the visual cortex and the precuneus were significantly correlated with headache frequency of migraine, and migraineurs had significantly lower efficiency of information transfer in both global and local dF NC.
Journal ArticleDOI

Direct modulation of aberrant brain network connectivity through real-time NeuroFeedback

Michal Ramot, +7 more
- 16 Sep 2017 - 
TL;DR: This training regimen produced large, significant long-term changes in correlations at the network level, and whole brain analysis revealed that the greatest changes were focused on the areas being trained, suggesting that neurofeedback can be used to directly alter complex, clinically relevant network connectivity patterns.
Journal ArticleDOI

Topological Properties of Resting-State fMRI Functional Networks Improve Machine Learning-Based Autism Classification

Amirali Kazeminejad, +1 more
- 10 Jan 2019 - 
TL;DR: This study uses the fMRI data of 816 individuals enrolled in the Autism Brain Imaging Data Exchange to introduce a new biomarker extraction pipeline for ASD that relies on the use of graph theoretical metrics of fMRI-based functional connectivity to inform a support vector machine (SVM).
References
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Journal ArticleDOI

Controlling the false discovery rate: a practical and powerful approach to multiple testing

Yoav Benjamini, +1 more
- 01 Jan 1995 - 
TL;DR: In this paper, a different approach to problems of multiple significance testing is presented, which calls for controlling the expected proportion of falsely rejected hypotheses -the false discovery rate, which is equivalent to the FWER when all hypotheses are true but is smaller otherwise.
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Fast unfolding of communities in large networks

Vincent D. Blondel, +5 more
- 04 Mar 2008 - 
TL;DR: This work proposes a heuristic method that is shown to outperform all other known community detection methods in terms of computation time and the quality of the communities detected is very good, as measured by the so-called modularity.
Journal ArticleDOI

Advances in functional and structural MR image analysis and implementation as FSL.

Stephen M. Smith, +17 more
- 01 Jan 2004 - 
TL;DR: A review of the research carried out by the Analysis Group at the Oxford Centre for Functional MRI of the Brain (FMRIB) on the development of new methodologies for the analysis of both structural and functional magnetic resonance imaging data.
Journal ArticleDOI

Fast unfolding of communities in large networks

Vincent D. Blondel, +5 more
- 01 Oct 2008 - 
TL;DR: In this paper, the authors proposed a simple method to extract the community structure of large networks based on modularity optimization, which is shown to outperform all other known community detection methods in terms of computation time.
Journal ArticleDOI

AFNI: software for analysis and visualization of functional magnetic resonance neuroimages

Robert W. Cox
- 01 Jun 1996 - 
TL;DR: A package of computer programs for analysis and visualization of three-dimensional human brain functional magnetic resonance imaging (FMRI) results is described and techniques for automatically generating transformed functional data sets from manually labeled anatomical data sets are described.
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The autism brain imaging data exchange: towards a large-scale evaluation of the intrinsic brain architecture in autism

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Complex network measures of brain connectivity: uses and interpretations.

Mikail Rubinov, +1 more
- 01 Sep 2010 - 

Complex brain networks: graph theoretical analysis of structural and functional systems

Edward T. Bullmore, +1 more
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Brain Hyperconnectivity in Children with Autism and its Links to Social Deficits

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