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Comparison of Brain Networks with Unknown Correspondences
[article]
2016
arXiv
pre-print
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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
2006
Bioinformatics
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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
2010
Proceedings of the National Academy of Sciences of the United States of America
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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
2021
Clinical Neurophysiology
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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
2020
Cerebral Cortex Communications
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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
2015
Brain
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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
2006
IEICE Transactions on Fundamentals of Electronics Communications and Computer Sciences
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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]
2012
Lecture Notes in Computer Science
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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
2014
Neuroscience Letters
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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]
2020
medRxiv
pre-print
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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]
2018
arXiv
pre-print
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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]
2012
arXiv
pre-print
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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]
2018
arXiv
pre-print
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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
2016
Proceedings of the National Academy of Sciences of the United States of America
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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
2015
Scientific Reports
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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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