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Concurrent white matter bundles and grey matter networks using independent component analysis

Jonathan O'Muircheartaigh, Saad Jbabdi
2018 NeuroImage  
Here we apply independent component analysis to whole-brain tractography data to automatically extract brain networks based on their associated white matter pathways.  ...  This method decomposes the tractography data into components that consist of paired grey matter 'nodes' and white matter 'edges', and automatically separates major white matter bundles, including known  ...  In connectivity analyses (functional or structural), the choice of seed regions/nodes is critical.  ... 
doi:10.1016/j.neuroimage.2017.05.012 pmid:28514668 pmcid:PMC6318261 fatcat:xeq3n3rzwndwllea2dxd2qelhi

Graph theoretical analysis of developmental patterns of the white matter network

Zhang Chen, Min Liu, Donald W. Gross, Christian Beaulieu
2013 Frontiers in Human Neuroscience  
However, the developmental trajectory of the large-scale white matter (WM) network is not fully understood.  ...  In addition, several pivotal hubs were identified that are vital for the global coordination of information flow over the whole brain network across all age groups.  ...  PC of the whole network.  ... 
doi:10.3389/fnhum.2013.00716 pmid:24198774 pmcid:PMC3814848 fatcat:nl2udnlpxvhl3ao6vw5xyiqjk4

Disrupted morphological grey matter networks in early-stage Parkinson's disease

Xueling Suo, Du Lei, Nannan Li, Wenbin Li, Graham J Kemp, John A Sweeney, Rong Peng, Qiyong Gong
2021 Brain Structure and Function  
This study investigated the topological organization of grey matter (GM) networks, their relation to disease severity, and their potential imaging diagnostic value in PD.  ...  While previous structural-covariance studies have an advanced understanding of brain alterations in Parkinson's disease (PD), brain-behavior relationships have not been examined at the individual level  ...  Construction of GM brain networks After preprocessing, the whole brain GM was parcellated into 90 regions of interest (ROIs) as nodes using the Automated Anatomical Labeling (AAL) atlas (Tzourio-Mazoyer  ... 
doi:10.1007/s00429-020-02200-9 pmid:33825053 pmcid:PMC8096749 fatcat:sng5hk7omzfnria5xqik5qxhze

Altered small-world properties of gray matter networks in breast cancer

S M Hadi Hosseini, Della Koovakkattu, Shelli R Kesler
2012 BMC Neurology  
Results: Results revealed reduced clustering coefficient and small-world index in the brain network of the breast cancer patients across a range of network densities.  ...  In addition, the network of the breast cancer group had less highly interactive nodes and reduced degree/centrality in the frontotemporal regions compared to controls, which may help explain the common  ...  SK conceived and directed development of the analysis toolbox, designed and supervised the study, conducted demographic and behavioral data analyses and co-wrote the manuscript.  ... 
doi:10.1186/1471-2377-12-28 pmid:22632066 pmcid:PMC3404945 fatcat:ie64ubekq5aehiydyw7ok4lp44

White Matter Network Architecture Guides Direct Electrical Stimulation through Optimal State Transitions

Jennifer Stiso, Ankit N. Khambhati, Tommaso Menara, Ari E. Kahn, Joel M. Stein, Sandihitsu R. Das, Richard Gorniak, Joseph Tracy, Brian Litt, Kathryn A. Davis, Fabio Pasqualetti, Timothy H. Lucas (+1 others)
2019 Cell Reports  
Our work quantifies the role that white matter architecture plays in guiding the dynamics of direct electrical stimulation and offers empirical support for the utility of network control theory in explaining  ...  Optimizing direct electrical stimulation for the treatment of neurological disease remains difficult due to an incomplete understanding of its physical propagation through brain tissue.  ...  The views, opinions, and/or findings contained in this material are those of the authors and should not be interpreted as representing the official views or policies of the Department of Defense or the  ... 
doi:10.1016/j.celrep.2019.08.008 pmid:31484068 pmcid:PMC6849479 fatcat:yc244nlscjf5zojszaynn5c6xq

Functional Brain Networks and White Matter Underlying Theory-of-Mind in Autism

Rajesh K. Kana, Lauren E. Libero, Christi P. Hu, Hrishikesh D. Deshpande, Jeffrey S. Colburn
2012 Social Cognitive and Affective Neuroscience  
DTI data revealed significantly reduced fractional anisotropy in ASD participants in white matter underlying the temporal lobe.  ...  Although children learn causal attribution early in development, children with autism spectrum disorders (ASDs) are known to have impairments in the development of intentional causality.  ...  We investigated the functional and anatomical integrity (brain activation, functional connectivity and white matter integrity) of the MPFC-TPJ system (ToM system) as well as the IPL-IFG/vPMC simulation  ... 
doi:10.1093/scan/nss106 pmid:22977198 pmcid:PMC3871731 fatcat:pe2vurpp5bcx7l2isbtc2ziaqu

The missing role of gray matter in studying brain controllability

Hamidreza Jamalabadi, Agnieszka Zuberer, Vinod Jangir Kumar, Meng Li, Sarah Alizadeh, Ali Amani Moradi, Christian Gaser, Michael Esterman, Martin Walter
2020 Network Neuroscience  
on gray matter volume at the host nodes.  ...  and functional architecture of the brain.  ...  While the controllability matrix is a valuable metric to study the overall character of a system, it does not directly quantify the potential ability of different nodes of the system to act as driver nodes  ... 
doi:10.1162/netn_a_00174 pmid:33688612 pmcid:PMC7935040 fatcat:v2rngb452rhrbpxyt5zyxuq6gu

Default Mode Network structural alterations in Kocher-Monro trajectory white matter transection: A 3 and 7 tesla simulation modeling approach

Saül Pascual-Diaz, Jose Pineda, Laura Serra, Federico Varriano, Alberto Prats-Galino, Satoru Hayasaka
2019 PLoS ONE  
In this study, a graph-theoretical approach was applied to quantify the structural alterations in whole-brain level connectivity.  ...  The network-based statistic analysis revealed a set of right lateralized subnetworks with decreased connectivity strength that is consistent with a subset of the Default Mode Network, Salience Network,  ...  Acknowledgments We are grateful to the WU-Minn Consortium for the open release of the Human Connectome Project, without which this project would not have been possible.  ... 
doi:10.1371/journal.pone.0224598 pmid:31697747 pmcid:PMC6837312 fatcat:ykgfyaum2nddnklesn6exxsc2u

White Matter Network Architecture Guides Direct Electrical Stimulation Through Optimal State Transitions [article]

Jennifer Stiso, Ankit N. Khambhati, Tommaso Menara, Ari E. Kahn, Joel M. Stein, Sandihitsu R. Das, Richard Gorniak, Joseph Tracy, Brian Litt, Kathryn A. Davis, Fabio Pasqualetti, Timothy Lucas, Danielle S. Bassett
2018 arXiv   pre-print
Here, we use network control theory to build a model of brain network function that makes predictions about how stimulation spreads through the brain's white matter network and influences large-scale dynamics  ...  network control theoretic models of brain response to stimulation.  ...  Acknowledgments This work was supported by the Alfred P. Sloan Foundation (DSB), the John D. and Catherine T. Author Declaration The authors declare no conflicts of interest.  ... 
arXiv:1805.01260v1 fatcat:wlz7mebpere5xan272vvrz7ohy

White Matter Network Architecture Guides Direct Electrical Stimulation Through Optimal State Transitions [article]

Jennifer Stiso, Ankit N Khambhati, Tommaso Menara, Ari E Kahn, Joel M Stein, Sandihitsu R Das, Richard Gorniak, Joseph Tracy, Brian Litt, Kathryn A Davis, Fabio Pasqualetti, Timothy H Lucas (+1 others)
2018 bioRxiv   pre-print
Here, we use network control theory to build a formal model of brain network function that makes explicit predictions about how stimulation spreads through the brain's white matter network and influences  ...  network control theoretic models of brain response to stimulation.  ...  We treat each region as a node in a whole-brain network, irrespective of whether or not the region contains an electrode.  ... 
doi:10.1101/313304 fatcat:2zmd2cuidzbibgvktcbpwobt4m

Cognitive abilities, brain white matter hyperintensity volume, and structural network connectivity in older age

Stewart J. Wiseman, Tom Booth, Stuart J. Ritchie, Simon R. Cox, Susana Muñoz Maniega, Maria del C. Valdés Hernández, David Alexander Dickie, Natalie A. Royle, John M. Starr, Ian J. Deary, Joanna M. Wardlaw, Mark E. Bastin
2017 Human Brain Mapping  
Objective: To assess brain structural connectivity in relation to cognitive abilities in healthy ageing, and the mediating effects of white matter hyper-intensity (WMH) volume.  ...  Relationships between whole-brain connectivity, assessed using graph theory metrics, and four major domains of cognitive ability (visuospatial reasoning, verbal memory, information processing speed and  ...  ACKNOWLEDGEMENT The image acquisition and analysis was performed at the Brain Research Imaging Centre, University of Edinburgh (http://www.bric. AUTHOR DISCLOSURES  ... 
doi:10.1002/hbm.23857 pmid:29139161 pmcid:PMC5813175 fatcat:6hg34xz4ovaypkcjtm7xmrq4ey

Meta-Analysis of Gray Matter Anomalies in Schizophrenia: Application of Anatomic Likelihood Estimation and Network Analysis

David C. Glahn, Angela R. Laird, Ian Ellison-Wright, Sarah M. Thelen, Jennifer L. Robinson, Jack L. Lancaster, Edward Bullmore, Peter T. Fox
2008 Biological Psychiatry  
Conclusions: This study expands on previous meta-analyses of the neuroanatomy of schizophrenia by elucidating a series of brain networks disrupted by the illness.  ...  Coordinates from each article were used to create a statistical map that estimated the likelihood of between-group gray matter density differences at every brain voxel.  ...  However, the replicator dynamics method is limited in that only the dominant subset of nodes in a network can be identified.  ... 
doi:10.1016/j.biopsych.2008.03.031 pmid:18486104 pmcid:PMC5441233 fatcat:su4sdzfnrndchndirvopxfr3km

Alterations in white matter network topology contribute to freezing of gait in Parkinson's disease

Julie M. Hall, James M. Shine, Kaylena A. Ehgoetz Martens, Moran Gilat, Kathryn M. Broadhouse, Jennifer Y. Y. Szeto, Courtney C. Walton, Ahmed A. Moustafa, Simon J. G. Lewis
2018 Journal of Neurology  
processing hubs of the brain.  ...  Importantly, several of these nodes were found within the brain's 'rich club'.  ...  Representation of a brain network with a modular structure. Different graph metrics are highlighted the end of the brain mask was reached.  ... 
doi:10.1007/s00415-018-8846-3 pmid:29616302 fatcat:6n2yitnn2fbkvfc5dfba3sor5e

Attention Performance Correlated With White Matter Structural Brain Networks in Shift Work Disorder

Yanzhe Ning, Meng Fang, Yong Zhang, Sitong Feng, Zhengtian Feng, Xinzi Liu, Kuangshi Li, Hongxiao Jia
2022 Frontiers in Psychiatry  
However, topological disruptions in the structural connectivity of the white matter (WM) networks associated with attention function remain poorly understood.  ...  The graph theory analysis was applied to detect the alterations of topological properties of structural networks.  ...  Whole-brain anatomical networks: does the choice of nodes matter? Neuroimage. (2010) 50:970–83. doi: 10.1016/j.neuroimage.2009.12.027 PubMed Abstract | CrossRef Full Text | Google Scholar 38.  ... 
doi:10.3389/fpsyt.2021.802830 pmid:35177998 pmcid:PMC8843848 fatcat:zzu6twnygfbjzklv7q2opna36m

How delays matter in an oscillatory whole-brain spiking-neuron network model for MEG alpha-rhythms at rest

Tristan T. Nakagawa, Mark Woolrich, Henry Luckhoo, Morten Joensson, Hamid Mohseni, Morten L. Kringelbach, Viktor Jirsa, Gustavo Deco
2014 NeuroImage  
The underlying anatomical connectivity structure between areas of the brain has been identified as being a key to the observed functional network connectivity, but the mechanisms behind this are still  ...  We studied how well the model captured the inter-node correlation structure of the alpha-band power envelopes for different delays between brain areas, and found that the model performs best for propagation  ...  The research reported herein was supported by the Brain Network Recovery Group through the James S. McDonnell Foundation.  ... 
doi:10.1016/j.neuroimage.2013.11.009 pmid:24246492 fatcat:xwsvf3b5affbnnrr3spweb7wmy
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