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Linking Structure and Function in Macroscale Brain Networks

Laura E. Suárez, Ross D. Markello, Richard F. Betzel, Bratislav Misic
<span title="2020-02-24">2020</span> <i title="Elsevier BV"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/2gvktplqc5gm7mwsea6qgdwy4m" style="color: black;">Trends in Cognitive Sciences</a> </i> &nbsp;
However, network neuroscience research suggests that there is an imperfect link between structural connectivity and functional connectivity in the brain.  ...  Structural network reconstructions enriched with local molecular and cellular metadata, in concert with more nuanced representations of functions and properties, hold great potential for a truly multiscale  ...  functional connections may be observed even in individuals with no callosal connections [34] [35] [36] .  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1016/j.tics.2020.01.008">doi:10.1016/j.tics.2020.01.008</a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/32160567">pmid:32160567</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/wgrgy7xwsbgillhml2ou3b5xji">fatcat:wgrgy7xwsbgillhml2ou3b5xji</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200227230320/https://www.cell.com/trends/cognitive-sciences/pdf/S1364-6613(20)30026-7.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/93/db/93dbc4cec621bcd0d9b85d01200101649a0b4a02.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1016/j.tics.2020.01.008"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> elsevier.com </button> </a>

Can structure predict function in the human brain?

Christopher J. Honey, Jean-Philippe Thivierge, Olaf Sporns
<span title="">2010</span> <i title="Elsevier BV"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/sa477uo7lveh7hchpikpixop5u" style="color: black;">NeuroImage</a> </i> &nbsp;
Theoretical arguments further support the notion that brain network topology and spatial embedding should strongly influence network dynamics.  ...  Here, we review the practicality and the value of these efforts, while at the same time considering in which cases and to what extent structure does determine neural function.  ...  indispensable in our search for structure-function relationships across the multiscale architecture of the human brain.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1016/j.neuroimage.2010.01.071">doi:10.1016/j.neuroimage.2010.01.071</a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/20116438">pmid:20116438</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/vukd7qqslbghlimzckzzcwxysq">fatcat:vukd7qqslbghlimzckzzcwxysq</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20170809125338/http://www.honeylab.org/wp-content/uploads/2014/02/honey_etal_neuroimage_2010.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/9e/46/9e46706f34914c650392447b018272f748ddee10.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1016/j.neuroimage.2010.01.071"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> elsevier.com </button> </a>

Multi-scale brain networks [article]

Richard F. Betzel, Danielle S. Bassett
<span title="2016-11-04">2016</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
The network architecture of the human brain has become a feature of increasing interest to the neuroscientific community, largely because of its potential to illuminate human cognition, its variation over  ...  In each case, we recount empirical evidence for such structures, survey network-based methodological approaches to reveal these structures, and outline current frontiers and open questions.  ...  MULTI-SCALE NETWORK ANALYSIS Network analysis is the process of interrogating an SC or FC network using tools derived from graph theory in order to better understand its character.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1608.08828v2">arXiv:1608.08828v2</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/wuyicmllbzdhhchnzrrlaltiq4">fatcat:wuyicmllbzdhhchnzrrlaltiq4</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200905080751/https://arxiv.org/pdf/1608.08828v2.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/f9/b9/f9b9ca3dc9d148518d88b4e1c635b37294d82bfd.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1608.08828v2" title="arxiv.org access"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> arxiv.org </button> </a>

A Study of Brain Neuronal and Functional Complexities Estimated Using Multiscale Entropy in Healthy Young Adults

Sreevalsan S. Menon, K. Krishnamurthy
<span title="2019-10-12">2019</span> <i title="MDPI AG"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/4d3elkqvznfzho6ki7a35bt47u" style="color: black;">Entropy</a> </i> &nbsp;
The functional complexity explores patterns in a higher dimension than neuronal complexity and may better discern changes in brain functioning.  ...  Brain complexity estimated using sample entropy and multiscale entropy (MSE) has recently gained much attention to compare brain function between diseased or neurologically impaired groups and healthy  ...  network dFC Dynamic functional connectivity eMSE Edge multiscale entropy HCP Human Connectome Project LAN Language network LECN Left executive control network MSE Multiscale entropy nMSE  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3390/e21100995">doi:10.3390/e21100995</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/aknymuo4ozeyhf62khfzyvibd4">fatcat:aknymuo4ozeyhf62khfzyvibd4</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200215173934/https://res.mdpi.com/d_attachment/entropy/entropy-21-00995/article_deploy/entropy-21-00995.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/f1/01/f1010d974d6f6723955497f626771c7a2acdb3fc.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3390/e21100995"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> mdpi.com </button> </a>

Individual structural features constrain the mouse functional connectome

Francesca Melozzi, Eyal Bergmann, Julie A. Harris, Itamar Kahn, Viktor Jirsa, Christophe Bernard
<span title="2019-12-11">2019</span> <i title="Proceedings of the National Academy of Sciences"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/nvtuoas5pbdsllkntnhizy4f4q" style="color: black;">Proceedings of the National Academy of Sciences of the United States of America</a> </i> &nbsp;
After acquiring structural data from individual mice, we virtualized their brain networks and simulated in silico functional MRI data.  ...  Using a virtual mouse brain derived from the Allen Mouse Brain Connectivity Atlas, we further show that the dominant predictors of individual structure–function relations are the asymmetry and the weights  ...  This brain network modeling approach operationalizes the functional consequences of structural network variations (10, 11) and allows us to systematically investigate SC-FC relations in individual human  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1073/pnas.1906694116">doi:10.1073/pnas.1906694116</a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/31826956">pmid:31826956</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/axf5mxcqwfeltec6n2ntymyuge">fatcat:axf5mxcqwfeltec6n2ntymyuge</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20201108154958/https://hal.archives-ouvertes.fr/hal-02562216/file/26961.full.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/dc/46/dc466fd7ac20020f8886ed99cc56727631dda16e.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1073/pnas.1906694116"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> Publisher / doi.org </button> </a>

Brain Modelling as a Service: The Virtual Brain on EBRAINS [article]

Michael Schirner, Lia Domide, Dionysios Perdikis, Paul Triebkorn, Leon Stefanovski, Roopa Pai, Paula Popa, Bogdan Valean, Jessica Palmer, Chloê Langford, André Blickensdörfer, Michiel van der Vlag (+32 others)
<span title="2021-03-29">2021</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
and functional connectomes; multiscale co-simulation of spiking and large-scale networks; a domain specific language for automatic high-performance code generation from user-specified models; simulation-ready  ...  It offers services for constructing, simulating and analysing brain network models (BNMs) including the TVB network simulator; magnetic resonance imaging (MRI) processing pipelines to extract structural  ...  Multiscale Co-Simulation Multiscale Co-Simulation are two Python toolboxes for simulating brain networks where large-scale NMMs interact with models of individual neurons or neuron networks (Table 1)  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2102.05888v2">arXiv:2102.05888v2</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/gjlrpzszj5c23eu53o44wx5lxa">fatcat:gjlrpzszj5c23eu53o44wx5lxa</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20210331000949/https://arxiv.org/ftp/arxiv/papers/2102/2102.05888.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/c1/a9/c1a939cb7265297e9142fed00bfaf141df00a05f.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2102.05888v2" title="arxiv.org access"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> arxiv.org </button> </a>

Structural and Functional Brain Networks: From Connections to Cognition

H.-J. Park, K. Friston
<span title="2013-10-31">2013</span> <i title="American Association for the Advancement of Science (AAAS)"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/qirzh7firjdsjhg4tutxtir6ey" style="color: black;">Science</a> </i> &nbsp;
Resting-state functional network analysis reveals a hierarchical modularity in brain networks (Fig. 2D ) that is consistent with the multiscale nature of brain anatomy from the microscopic to the macroscopic  ...  Node, edge, and organization in the brain network. (A) Schematic of the multiscale hierarchical organization of brain networks: from neurons and macrocolumns to macroscopic brain areas.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1126/science.1238411">doi:10.1126/science.1238411</a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/24179229">pmid:24179229</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/j55onzaxp5fmnosmgqgyx3jbh4">fatcat:j55onzaxp5fmnosmgqgyx3jbh4</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20170830042611/http://www.fil.ion.ucl.ac.uk/~karl/Structural%20and%20functional%20brain%20networks%20from%20connections%20to%20cognition.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/7f/af/7faf219b57828c4399e364e384dfbdbe8ddb8c92.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1126/science.1238411"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> sciencemag.org </button> </a>

Multiscale Neural Modeling of Resting-state fMRI Reveals Executive-Limbic Malfunction as a Core Mechanism in Major Depressive Disorder [article]

Guoshi Li, Yujie Liu, Yanting Zheng, Ye Wu, Danian Li, Xinyu Liang, Yaoping Chen, Ying Cui, Pew-Thian Yap, Shijun Qiu, Han Zhang, Dinggang Shen
<span title="2020-05-05">2020</span> <i title="Cold Spring Harbor Laboratory"> medRxiv </i> &nbsp; <span class="release-stage" >pre-print</span>
Computational neuroimaging has played a central role in characterizing functional abnormalities in major depressive disorder (MDD).  ...  However, most of existing non-invasive analysis tools based on functional magnetic resonance imaging (fMRI) are largely descriptive and superficial, thus cannot offer a deep mechanistic understanding of  ...  Although previous functional 305 neuroimaging studies have indicated hyper-or hypo-activity in multiple brain regions and/or interrupted 306 functional connectivity (FC) among several large-scale functional  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1101/2020.04.29.20084855">doi:10.1101/2020.04.29.20084855</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/oiygy5iz2nbozn7yt7ajmat7ky">fatcat:oiygy5iz2nbozn7yt7ajmat7ky</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20201103065313/https://www.medrxiv.org/content/medrxiv/early/2020/05/05/2020.04.29.20084855.full.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/2d/9f/2d9feaaf16956096dfd9c5e3359b0ccea9660ae9.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1101/2020.04.29.20084855"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> medrxiv.org </button> </a>

Dynamical mechanisms of interictal resting-state functional connectivity in epilepsy

Julie Courtiol, Maxime Guye, Fabrice Bartolomei, Spase Petkoski, Viktor K. Jirsa
<span title="2020-06-08">2020</span> <i title="Society for Neuroscience"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/s7bticdwizdmhll4taefg57jde" style="color: black;">Journal of Neuroscience</a> </i> &nbsp;
Drug-resistant focal epilepsy is a large-scale brain networks disorder characterized by altered spatiotemporal patterns of functional connectivity (FC), even during interictal resting-state (RS).  ...  for epilepsy-related network alterations in brain connectivity, even during interictal RS.  ...  Resting-state functional connectivity analysis FC describes brain function through estimates of the covariant links between two signals (originating from different brain regions), reflecting how different  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1523/jneurosci.0905-19.2020">doi:10.1523/jneurosci.0905-19.2020</a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/32513827">pmid:32513827</a> <a target="_blank" rel="external noopener" href="https://pubmed.ncbi.nlm.nih.gov/PMC7363471/">pmcid:PMC7363471</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/iywx3kptdrbvngjvdmk7cmypm4">fatcat:iywx3kptdrbvngjvdmk7cmypm4</a> </span>
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Questions and controversies in the study of time-varying functional connectivity in resting fMRI

Daniel J. Lurie, Daniel Kessler, Danielle S. Bassett, Richard F. Betzel, Michael Breakspear, Shella Keilholz, Aaron Kucyi, Raphaël Liégeois, Martin A. Lindquist, Anthony Randal McIntosh, Russell A. Poldrack, James M. Shine (+11 others)
<span title="2019-12-02">2019</span> <i title="MIT Press - Journals"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/hjuah27335hxnos7w5tnkkihzy" style="color: black;">Network Neuroscience</a> </i> &nbsp;
The possibility of studying these dynamics through careful analysis of neuroimaging data has catalyzed substantial interest in methods which estimate time-resolved fluctuations in functional connectivity  ...  The brain is a complex, multiscale dynamical system composed of many interacting regions.  ...  We also thank Abraham Snyder, Jean-Baptiste Poline, Ted Satterthwaite, Caterina Gratton, and Nico Dosenbach for their participation in the discussion that inspired us to write this review.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1162/netn_a_00116">doi:10.1162/netn_a_00116</a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/32043043">pmid:32043043</a> <a target="_blank" rel="external noopener" href="https://pubmed.ncbi.nlm.nih.gov/PMC7006871/">pmcid:PMC7006871</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/ot3p632kojfd5cxe4ud44fmbla">fatcat:ot3p632kojfd5cxe4ud44fmbla</a> </span>
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Multi-scale brain networks

Richard F. Betzel, Danielle S. Bassett
<span title="">2017</span> <i title="Elsevier BV"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/sa477uo7lveh7hchpikpixop5u" style="color: black;">NeuroImage</a> </i> &nbsp;
Collectively, these scales define the axes of a three-dimensional space in which any analysis of brain network data lives (Fig. 1) .  ...  Most brain network analyses exist as points in this space-i.e. they focus on networks defined singularly at one spatial, temporal, and topological scale.  ...  Depiction of gray-matter development in 1 was reproduced from (Gogtay et al., 2004) . Copyright (2004) National Academy of Sciences, U.S.A.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1016/j.neuroimage.2016.11.006">doi:10.1016/j.neuroimage.2016.11.006</a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/27845257">pmid:27845257</a> <a target="_blank" rel="external noopener" href="https://pubmed.ncbi.nlm.nih.gov/PMC5695236/">pmcid:PMC5695236</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/wqdktooym5g6vnepdwj7bfhelm">fatcat:wqdktooym5g6vnepdwj7bfhelm</a> </span>
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Dynamic expression of brain functional systems disclosed by fine-scale analysis of edge time series

Olaf Sporns, Joshua Faskowitz, Andreia Sofia Teixeira, Sarah A Cutts, Richard F. Betzel
<span title="2021-01-08">2021</span> <i title="MIT Press - Journals"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/hjuah27335hxnos7w5tnkkihzy" style="color: black;">Network Neuroscience</a> </i> &nbsp;
Functional connectivity (FC) describes the statistical dependence between neuronal populations or brain regions in resting-state fMRI studies and is commonly estimated as the Pearson correlation of time  ...  Potential applications of this decomposition of functional connectivity into a set of binary patterns are discussed.  ...  Their patterning reflects the complex multiscale community structure of long-time FC, which has been, to this point, the primary target of functional network analysis.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1162/netn_a_00182">doi:10.1162/netn_a_00182</a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/34189371">pmid:34189371</a> <a target="_blank" rel="external noopener" href="https://pubmed.ncbi.nlm.nih.gov/PMC8233118/">pmcid:PMC8233118</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/nv6w4nmhhvaxzjkv4r6uzn2bzq">fatcat:nv6w4nmhhvaxzjkv4r6uzn2bzq</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20211012140853/http://europepmc.org/backend/ptpmcrender.fcgi?accid=PMC8233118&amp;blobtype=pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/e4/17/e417dea41dee4a65ea0988b4e655c76e29e27298.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1162/netn_a_00182"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> mitpressjournals.org </button> </a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8233118" title="pubmed link"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> pubmed.gov </button> </a>

Network Analyses and Nervous System Disorders [article]

John D. Medaglia, Danielle S. Bassett
<span title="2017-01-04">2017</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
Network analyses in nervous system disorders involves constructing and analyzing anatomical and functional brain networks from neuroimaging data to describe and predict the clinical syndromes that result  ...  agents to brain stimulation.  ...  Multiscale Analysis.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1701.01101v1">arXiv:1701.01101v1</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/7kon4hm5nrby5li2vebvwd6egy">fatcat:7kon4hm5nrby5li2vebvwd6egy</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200907124238/https://arxiv.org/pdf/1701.01101v1.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/91/93/91933a317462e8f64123cab7318af882c8b6e5aa.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1701.01101v1" title="arxiv.org access"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> arxiv.org </button> </a>

Dynamic Expression of Brain Functional Systems Disclosed by Fine-Scale Analysis of Edge Time Series [article]

Olaf Sporns, Joshua Faskowitz, Sofia Teixera, Richard Betzel
<span title="2020-08-24">2020</span> <i title="Cold Spring Harbor Laboratory"> bioRxiv </i> &nbsp; <span class="release-stage" >pre-print</span>
Functional connectivity (FC) describes the statistical dependence between brain regions in resting-state fMRI studies and is usually estimated as the Pearson correlation of time courses.  ...  Clustering reveals densely coupled sets of regions constituting a set of resting-state networks or functional systems.  ...  Their patterning reflects, and through superposition creates, the complex multiscale community structure of long-time FC, which has been, to this point, the primary target of functional network analysis  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1101/2020.08.23.263541">doi:10.1101/2020.08.23.263541</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/4vakwleulrgz3jrvvnju3r2rae">fatcat:4vakwleulrgz3jrvvnju3r2rae</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20201103040536/https://www.biorxiv.org/content/biorxiv/early/2020/08/24/2020.08.23.263541.full.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/43/a8/43a8ad21bf088f2b41582865933427a4a575863b.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1101/2020.08.23.263541"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> biorxiv.org </button> </a>

Connectivity and complex systems: learning from a multi-disciplinary perspective

Laura Turnbull, Marc-Thorsten Hütt, Andreas A. Ioannides, Stuart Kininmonth, Ronald Poeppl, Klement Tockner, Louise J. Bracken, Saskia Keesstra, Lichan Liu, Rens Masselink, Anthony J. Parsons
<span title="2018-06-18">2018</span> <i title="Springer Nature"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/j7jxtbkpgnastjy3xdfamy6f7u" style="color: black;">Applied Network Science</a> </i> &nbsp;
We evaluate how a connectivity-based approach has generated new understanding of structural-functional relationships that characterise complex systems and propose a 'common toolbox' underpinned by network-based  ...  In recent years, parallel developments in disparate disciplines have focused on what has come to be termed connectivity; a concept used in understanding and describing complex systems.  ...  One example is the Brain Connectivity Toolbox (Rubinov and Sporns, 2010) which was developed for complex-network analysis of structural and functional brain-connectivity data sets using the approaches  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/s41109-018-0067-2">doi:10.1007/s41109-018-0067-2</a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/30839779">pmid:30839779</a> <a target="_blank" rel="external noopener" href="https://pubmed.ncbi.nlm.nih.gov/PMC6214298/">pmcid:PMC6214298</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/hcznfb3pw5hgbji4mh2l4uz2im">fatcat:hcznfb3pw5hgbji4mh2l4uz2im</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20190429042249/http://dro.dur.ac.uk/25100/1/25100.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/c4/aa/c4aa6c8e64670248fa074abc960bf3d048f68e4c.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/s41109-018-0067-2"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> springer.com </button> </a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6214298" title="pubmed link"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> pubmed.gov </button> </a>
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