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Comparison of Brain Networks with Unknown Correspondences [article]

Sofia Ira Ktena, Sarah Parisot, Jonathan Passerat-Palmbach, Daniel Rueckert
2016 arXiv   pre-print
In this work we explore a method based on graph edit distance for evaluating graph similarity, when correspondences between network elements are unknown due to different underlying subdivisions of the  ...  network like the brain.  ...  in individual subject's space -which, however, give rise to unknown correspondences.  ... 
arXiv:1611.04783v1 fatcat:rniydy7bcfakrfxweqyy2dsqpu

Network neighborhood analysis with the multi-node topological overlap measure

A. Li, S. Horvath
2006 Bioinformatics  
Using four network applications and a simulated example, we provide empirical evidence that the resulting neighborhoods are biologically meaningful, e.g. we use neighborhood analysis to identify brain  ...  Motivation: The goal of neighborhood analysis is to find a set of genes (the neighborhood) that is similar to an initial 'seed' set of genes.  ...  In the following, we provide a limited comparison to the simple (naive) approach of defining a neighborhood of node t based on ranking the remaining network nodes by their adjacencies with node t.  ... 
doi:10.1093/bioinformatics/btl581 pmid:17110366 fatcat:zfyfdyvggvcodcslfl3brnoegi

Divergence of human and mouse brain transcriptome highlights Alzheimer disease pathways

Jeremy A. Miller, Steve Horvath, Daniel H. Geschwind
2010 Proceedings of the National Academy of Sciences of the United States of America  
We find that global network properties of the brain transcriptome are highly preserved between species.  ...  Modules corresponding to glial and neuronal cells were sufficiently preserved between mouse and human to permit identification of cross species cell-class marker genes.  ...  Results Constructing the Mouse and Human Networks. We reasoned that comparison of coexpression networks between mouse and human could provide valuable insight into human brain disorders.  ... 
doi:10.1073/pnas.0914257107 pmid:20616000 pmcid:PMC2906579 fatcat:6jgxi3xmozdxtaqkef3uypieuu

cccccSource-level EEG and graph theory reveal widespread functional network alterations in focal epilepsy

Christoffer Hatlestad-Hall, Ricardo Bruña, Marte Roa Syvertsen, Aksel Erichsen, Vebjørn Andersson, Fabrizio Vecchio, Francesca Miraglia, Paolo M. Rossini, Hanna Renvall, Erik Taubøll, Fernando Maestú, Ira H. Haraldsen
2021 Clinical Neurophysiology  
The aim of this study was to investigate functional network alterations in focal epilepsy patients with good seizure control and high quality of life.  ...  The hypersynchronous neuronal activity associated with epilepsy causes widespread functional network disruptions extending beyond the epileptogenic zone.  ...  Data availability The data that support the findings of this study are available from the corresponding author (or his affiliated institution), upon reasonable request.  ... 
doi:10.1016/j.clinph.2021.04.008 pmid:34044189 fatcat:mxuuxfcbnfelbfb3yu5ypey7qi

The Paternal Transition Entails Neuroanatomic Adaptations that Are Associated with the father's Brain Response to his Infant Cues

María Paternina-Die, Magdalena Martínez-García, Clara Pretus, Elseline Hoekzema, Erika Barba-Müller, Daniel Martín de Blas, Cristina Pozzobon, Agustín Ballesteros, Óscar Vilarroya, Manuel Desco, Susanna Carmona
2020 Cerebral Cortex Communications  
Specifically, we tested if such changes were associated with 1) the baby's age and/or 2) the fathers' brain activity in response to pictures of their babies compared to an unknown baby.  ...  Moreover, higher volume reduction and cortical thinning were associated with stronger brain responses to pictures of their own baby in parental brain regions.  ...  Conflict of interest: None declared.  ... 
doi:10.1093/texcom/tgaa082 fatcat:fwhudf3djreo5arf3z52c4uaiq

Why musical memory can be preserved in advanced Alzheimer's disease

Jörn-Henrik Jacobsen, Johannes Stelzer, Thomas Hans Fritz, Gael Chételat, Renaud La Joie, Robert Turner
2015 Brain  
of glucose-metabolism (as measured with 18 F-fluorodeoxyglucose positron emission tomography), as compared to the rest of the brain.  ...  The results showed a crucial role for the caudal anterior cingulate and the ventral pre-supplementary motor area in the neural encoding of long-known as compared with recently known and unknown music.  ...  supported by different anatomical brain networks.  ... 
doi:10.1093/brain/awv135 pmid:26041611 fatcat:ispdwilmwbaudcg4uojuvhpzw4

Performance of Affordable Neural Network for Back Propagation Learning

Y. UWATE
2006 IEICE Transactions on Fundamentals of Electronics Communications and Computer Sciences  
In this study, we propose a new network structure with affordable neurons in the hidden layer of the feedforward neural network.  ...  Cell assembly is one of explanations of information processing in the brain, in which an information is represented by a firing space pattern of a group of plural neurons.  ...  Fig. 12 12 Comparison between unknown random input data and output of the affordable neural networks (100-15) (Length of input data: 50, E ave : 0.11640).  ... 
doi:10.1093/ietfec/e89-a.9.2374 fatcat:yo5rmrdhzbddvdak7pre5gswdy

Inferring Group-Wise Consistent Multimodal Brain Networks via Multi-view Spectral Clustering [chapter]

Hanbo Chen, Kaiming Li, Dajiang Zhu, Tuo Zhang, Changfeng Jin, Lei Guo, Lingjiang Li, Tianming Liu
2012 Lecture Notes in Computer Science  
However, the regularity of these structural or functional brain networks across multiple neuroimaging modalities and across individuals is largely unknown.  ...  We applied the proposed algorithm on 80 multimodal structural and functional brain networks of 40 healthy subjects, and obtained consistent multimodal brain sub-networks within the group.  ...  In many previous studies, structural and functional brain networks are typically examined separately, leaving their relationship largely unknown.  ... 
doi:10.1007/978-3-642-33454-2_37 fatcat:fa3eh5qq25fmfgpquy7tzgnn6i

Integrative activity of neural networks may code virtual spaces with internal representations

Kuzma Strelnikov
2014 Neuroscience Letters  
trained neural networks to integrate. • Hierarchical networks learned faster and more efficiently than a single network. • Spatial differentiation of the model activity reproduced the presented stimulation  ...  h i g h l i g h t s • Spatial differentiation of fMRI activity indicates its integrative nature. • Limitations of neuroimaging techniques preclude the direct interpretations. • Using random numbers, we  ...  Interaction with such objects may create constant patterns of integrative activity in the brain with corresponding internal representations in virtual spaces.  ... 
doi:10.1016/j.neulet.2014.08.029 pmid:25161125 fatcat:yqn6tura5zgynmh6v2azp6o32i

Source-level EEG and graph theory reveal widespread functional network alterations in focal epilepsy [article]

Christoffer Hatlestad-Hall, Ricardo Bruna, Marte Roa Syvertsen, Aksel Erichsen, Vebjorn Andersson, Fabrizio Vecchio, Francesca Miraglia, Paolo Maria Rossini, Hanna Renvall, Fernando Maestu, Erik Tauboll, Ira Hebold Haraldsen
2020 medRxiv   pre-print
The aim of the present study was to demonstrate the presence of functional network alterations in focal epilepsy patients with good seizure control and high quality of life.  ...  Objective: The hypersynchronous neuronal activity associated with epilepsy causes widespread functional network disruptions extending beyond the epileptogenic zone.  ...  networks in the human brain.  ... 
doi:10.1101/2020.12.17.20248426 fatcat:ki765xllgrc2rk52dyoflafr3a

Learning Personalized Representation for Inverse Problems in Medical Imaging Using Deep Neural Network [article]

Kuang Gong, Kyungsang Kim, Jianan Cui, Ning Guo, Ciprian Catana, Jinyi Qi, Quanzheng Li
2018 arXiv   pre-print
The representation is expressed using a deep neural network with the patient's prior images as network input.  ...  One barrier for the application of deep neural networks to medical imaging is the need of large amounts of prior training pairs, which is not always feasible in clinical practice.  ...  To illustrate this, Fig. 1 presents the comparison of network outputs with different network inputs using the brain dataset introduced in Section 3.2.  ... 
arXiv:1807.01759v1 fatcat:dx2jpqtplbh6pbftbo2o6i25wu

Identifying Brain Image Level Endophenotypes in Epilepsy [article]

Wei Cheng, Xuejuan Zhang, Ge Tian, Jianfeng Feng, Zhengge Wang, Zhiqiang Zhang, GuangMing Lu
2012 arXiv   pre-print
On the other hand, as a functional compensation and brain plasticity, connections of these bilateral regions to other brain regions were abnormally enhanced and became even much stronger with the increase  ...  Furthermore, patients had higher network efficiencies than healthy controls, and the seizure onset frequency was found to be positively correlated with the network efficiency.  ...  altered brain network in psychiatric patients by undertaking group comparison, it is still unknown whether these altered brain network has clinical significance.  ... 
arXiv:1209.5629v1 fatcat:htloexl33janvm5g7rd3mvf6lu

Re-thinking EEG-based non-invasive brain interfaces: modeling and analysis [article]

Gaurav Gupta, Sergio Pequito, Paul Bogdan
2018 arXiv   pre-print
Hereafter, we propose to demystify such approaches, as we propose to leverage new time-varying complex network models that equip us with a fractal dynamical characterization of the underlying processes  ...  This has motivated us to revisit the design of EEG-based non-invasive brain interfaces.  ...  Figure 6 : 6 Comparison of predicted EEG state for the channel T 7 using fractional-order dynamical model with unknown inputs.  ... 
arXiv:1803.10318v1 fatcat:r7osyi5ktngnzhudvjgzlsbsfe

Deletion of the mu opioid receptor gene in mice reshapes the reward–aversion connectome

Anna E. Mechling, Tanzil Arefin, Hsu-Lei Lee, Thomas Bienert, Marco Reisert, Sami Ben Hamida, Emmanuel Darcq, Aliza Ehrlich, Claire Gaveriaux-Ruff, Maxime J. Parent, Pedro Rosa-Neto, Jürgen Hennig (+3 others)
2016 Proceedings of the National Academy of Sciences of the United States of America  
Connectome genetics seeks to uncover how genetic factors shape brain functional connectivity; however, the causal impact of a single gene's activity on whole-brain networks remains unknown.  ...  However the causal impact of a single gene on whole-brain networks is still unclear.  ...  de la Santé et de la Recherche Médicale; Strasbourg University; and grants from the Brain Links Brain Tools cluster of excellence from Freiburg (MouseNet) and European Research Area Network (ERANET-Neuron  ... 
doi:10.1073/pnas.1601640113 pmid:27671662 pmcid:PMC5068324 fatcat:ayrt3qsinfgz7lnv5mdylvrw2a

Identifying robust communities and multi-community nodes by combining top-down and bottom-up approaches to clustering

Chris Gaiteri, Mingming Chen, Boleslaw Szymanski, Konstantin Kuzmin, Jierui Xie, Changkyu Lee, Timothy Blanche, Elias Chaibub Neto, Su-Chun Huang, Thomas Grabowski, Tara Madhyastha, Vitalina Komashko
2015 Scientific Reports  
This method can quantify the stability of each community, automatically identify the number of communities, and quickly cluster networks with hundreds of thousands of nodes.  ...  sorted cell populations, electrophysiology and fMRI brain imaging.  ...  N00014-09-1-0607 and the National Institutes of Health 1RC4NS073008-01. The funders had no role in study design, data collection  ... 
doi:10.1038/srep16361 pmid:26549511 pmcid:PMC4637843 fatcat:sgxlegyllrdargxn7d253sxsbm
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