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Independent component analysis of fMRI group studies by self-organizing clustering

Fabrizio Esposito, Tommaso Scarabino, Aapo Hyvarinen, Johan Himberg, Elia Formisano, Silvia Comani, Gioacchino Tedeschi, Rainer Goebel, Erich Seifritz, Francesco Di Salle
<span title="">2005</span> <i title="Elsevier BV"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/sa477uo7lveh7hchpikpixop5u" style="color: black;">NeuroImage</a> </i> &nbsp;
Independent component analysis (ICA) is a valuable technique for the multivariate data-driven analysis of functional magnetic resonance imaging (fMRI) data sets.  ...  group independent components.  ...  Acknowledgments Study was supported by Swiss National Science Foundation (grant no. PP00B-103012) and by Academy of Finland (project #106473).  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1016/j.neuroimage.2004.10.042">doi:10.1016/j.neuroimage.2004.10.042</a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/15734355">pmid:15734355</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/tqggzrv4dfd6ldgjdxjxyaxy6y">fatcat:tqggzrv4dfd6ldgjdxjxyaxy6y</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20170808225630/https://www.cs.helsinki.fi/u/ahyvarin/papers/Esposito05.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/d5/f2/d5f29944fb02eafcd9afe51b519a32d07dc44825.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1016/j.neuroimage.2004.10.042"> <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>

Unsupervised Spatiotemporal Analysis of FMRI Data Using Graph-Based Visualizations of Self-Organizing Maps

Santosh B. Katwal, John C. Gore, Rene Marois, Baxter P. Rogers
<span title="">2013</span> <i title="Institute of Electrical and Electronics Engineers (IEEE)"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/nrcoa2vuhjcvfctty6zgus57um" style="color: black;">IEEE Transactions on Biomedical Engineering</a> </i> &nbsp;
Visualization of self-organizing maps outperformed independent component analysis and voxelwise univariate linear regression analysis in identifying and classifying relevant brain regions.  ...  We conclude that the graph-based visualizations of self-organizing maps help in advanced visualization of cluster boundaries in fMRI data enabling the separation of regions with small differences in the  ...  Tombu for assistance with fMRI data preparation.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/tbme.2013.2258344">doi:10.1109/tbme.2013.2258344</a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/23613020">pmid:23613020</a> <a target="_blank" rel="external noopener" href="https://pubmed.ncbi.nlm.nih.gov/PMC3919688/">pmcid:PMC3919688</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/l5nkuvsbcrgz5dr3gnjtdp3spy">fatcat:l5nkuvsbcrgz5dr3gnjtdp3spy</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20170829171053/http://www.psy.vanderbilt.edu/faculty/marois/wordpress/wp-content/uploads/2014/02/Katwal_etal_2013.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/57/85/5785def68b32c5a1c8b351016d5eac087eeb078b.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/tbme.2013.2258344"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> ieee.com </button> </a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3919688" title="pubmed link"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> pubmed.gov </button> </a>

Model-free functional MRI analysis using cluster-based methods

Thomas D. Otto, Anke Meyer-Baese, Monica Hurdal, DeWitt Sumners, Dorothee Auer, Axel Wismuller, Kevin L. Priddy, Peter J. Angeline
<span title="2003-08-07">2003</span> <i title="SPIE"> Intelligent Computing: Theory and Applications </i> &nbsp;
A comparison of this new method with Kohonen's self-organizing map and with a minimal free energy vector quantizer is done in a systematic fMRI study showing comparative quantitative evaluations.  ...  In this paper the "neural gas" network is adapted and rigourosly studied for analyzing fMRI data.  ...  Cluster analysis groups image pixels together based on the similarity of their intensity profile in time.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1117/12.487254">doi:10.1117/12.487254</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/wawh4i6hqjhzjbz46zsg4j2jum">fatcat:wawh4i6hqjhzjbz46zsg4j2jum</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20060906030620/http://www.math.fsu.edu/~mhurdal/papers/spie/spie_v5103_2003.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/a5/99/a599f35294414d3da45c2335ac9996f277c0b2c9.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1117/12.487254"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> Publisher / doi.org </button> </a>

Single to Two Cluster State Transition of Primary Motor Cortex 4-posterior (MI-4p) Activities in Humans

Kazunori Nakada, Kiyotaka Suzuki, Tsutomu Nakada
<span title="2015-11-03">2015</span> <i title="MDPI AG"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/4d3elkqvznfzho6ki7a35bt47u" style="color: black;">Entropy</a> </i> &nbsp;
We have previously demonstrated that activation of these two functional subunits can be identified independently by functional magnetic resonance imaging (fMRI) using independent component-cross correlation-sequential  ...  While the former is not testable in humans, the latter can be tested by appropriately designed fMRI experiments, the quantitative index of which is believed to reflect group behavior of neurons functionally  ...  Acknowledgments The work was supported by grants from the Ministry of Education, Culture, Sports, Science, and Technology (Japan) and University of Niigata.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3390/e17117596">doi:10.3390/e17117596</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/ld7sbnjc25eyvo5qndi3rsbjaa">fatcat:ld7sbnjc25eyvo5qndi3rsbjaa</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20190226205858/http://pdfs.semanticscholar.org/7712/94d405e31f96a5726854a40d45356f7466dc.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/77/12/771294d405e31f96a5726854a40d45356f7466dc.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3390/e17117596"> <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>

Resting-State Networks of Adolescents Experiencing Depersonalization-Like Illusions: Cross-sectional and Longitudinal Findings

Mélodie Derome, Eduardo Fonseca-Pedrero, Deborah Badoud, Larisa Morosan, Dimitri Van De Ville, François Lazeyras, Stephan Eliez, Raymond Chan, David Rudrauf, Sophie Schwartz, Martin Debbane
<span title="2018-03-15">2018</span> <i title="Oxford University Press (OUP)"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/o67mrs6u45fmrmhkxo62gcvrli" style="color: black;">Schizophrenia Bulletin</a> </i> &nbsp;
A group level Independent Component Analysis (ICA) was conducted and voxel-wise inter-group differences within RSNs were examined.  ...  The rs-fMRI analysis revealed lower connectivity of specific visual areas within the primary visual network (PVN), and higher connectivity of regions within the Default Mode Network (DMN) when contrasting  ...  The authors have declared that there are no conflicts of interest in relation to the subject of this study.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1093/schbul/sby031">doi:10.1093/schbul/sby031</a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/29566227">pmid:29566227</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/amhjonzcvfgkdnepcugn5m4a6u">fatcat:amhjonzcvfgkdnepcugn5m4a6u</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200507172645/https://research-repository.griffith.edu.au/bitstream/handle/10072/385634/Chan225247.pdf;jsessionid=55FD33857436EA5CAFB009CB1C18F076?sequence=1" 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/45/92/4592e8d8033d8f1d47ed2eb1a7432c2237e5d5fc.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1093/schbul/sby031"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> oup.com </button> </a>

Clustering of Dependent Components: A New Paradigm for fMRI Signal Detection

Anke Meyer-Bäse, Monica K. Hurdal, Oliver Lange, Helge Ritter
<span title="2005-11-17">2005</span> <i title="Springer Nature"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/hqblpsydr5emviirtqkkmctpha" style="color: black;">EURASIP Journal on Advances in Signal Processing</a> </i> &nbsp;
Exploratory data-driven methods such as unsupervised clustering and independent component analysis (ICA) are considered to be hypothesis-generating procedures and are complementary to the hypothesis-led  ...  Recently, a new paradigm in ICA emerged, that of finding "clusters" of dependent components.  ...  Dorothee Auer from the Max Planck Institute of Psychiatry in Munich, Germany, for providing the fMRI data. We are grateful for the financial support of the Humboldt Foundation.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1155/asp.2005.3089">doi:10.1155/asp.2005.3089</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/m54rtxf2mvg35bvt3vbtpmmrwe">fatcat:m54rtxf2mvg35bvt3vbtpmmrwe</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20190429044251/https://asp-eurasipjournals.springeropen.com/track/pdf/10.1155/ASP.2005.3089" 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/fc/2c/fc2c0cab2571ab00a90b5e8da6819169ba8d367f.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1155/asp.2005.3089"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> hindawi.com </button> </a>

Self-organizing maps and entropy applied to data analysis of functional magnetic resonance images

Anderson D. S. Campelo, Valcir J. C. Farias, Heliton R. Tavares, Marcus P. da C. da Rocha
<span title="">2014</span> <i title="Hikari, Ltd."> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/tkwosg7ldfdb7axzd4gooi4inq" style="color: black;">Applied Mathematical Sciences</a> </i> &nbsp;
Kohonen self-organizing maps (SOM) and Shannon entropy were applied together for the analysis of data from functional magnetic resonance imaging (fMRI).  ...  To increase the efficiency of SOM in the search for patterns of activation in fMRI data, first, we applied the Shannon entropy in order to eliminate signals possibly related to noise sources.  ...  In this paper a study on self-organizing maps and hierarchical clustering techniques as tools for analysis of fMRI data will be made.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.12988/ams.2014.310585">doi:10.12988/ams.2014.310585</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/wxdgy4zrwncidmbyulwuyb4e74">fatcat:wxdgy4zrwncidmbyulwuyb4e74</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20170810061709/http://www.m-hikari.com/ams/ams-2014/ams-97-100-2014/fariasAMS97-100-2014.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/c1/64/c1649029e56ee17e1c68022e8d15fbcd463c0e86.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.12988/ams.2014.310585"> <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>

Toward literature-based feature selection for diagnostic classification: a meta-analysis of resting-state fMRI in depression

Benedikt Sundermann, Mona Olde lütke Beverborg, Bettina Pfleiderer
<span title="2014-09-10">2014</span> <i title="Frontiers Media SA"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/adcuz6lgabeidhngmk32v7egkq" style="color: black;">Frontiers in Human Neuroscience</a> </i> &nbsp;
Meta-analyses were calculated using the non-additive activation likelihood estimation approach with coordinates organized by subject group to account for non-independent samples.  ...  Multiple reports of resting state fMRI in MDD describe group effects.  ...  ACKNOWLEDGMENTS We acknowledge support by Deutsche Forschungsgemeinschaft and Open Access Publication Fund of the University of Münster.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3389/fnhum.2014.00692">doi:10.3389/fnhum.2014.00692</a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/25309382">pmid:25309382</a> <a target="_blank" rel="external noopener" href="https://pubmed.ncbi.nlm.nih.gov/PMC4159995/">pmcid:PMC4159995</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/modg4tctwndo7l44yvi6huwikq">fatcat:modg4tctwndo7l44yvi6huwikq</a> </span>
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Mapping white-matter functional organization at rest and during naturalistic visual perception

Lauren Marussich, Kun-Han Lu, Haiguang Wen, Zhongming Liu
<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;
By using independent component analysis and hierarchical clustering, resting-state fMRI data in the white matter were denoised and decomposed into spatially independent components, further assembled into  ...  In this study, we investigated the spatiotemporal characteristics of fMRI data within the white matter acquired from humans in the resting state or watching a naturalistic movie.  ...  The authors would also like to thank Yu Tang for her assistance with data analysis during the exploratory phase of this project.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1016/j.neuroimage.2016.10.005">doi:10.1016/j.neuroimage.2016.10.005</a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/27720819">pmid:27720819</a> <a target="_blank" rel="external noopener" href="https://pubmed.ncbi.nlm.nih.gov/PMC5321894/">pmcid:PMC5321894</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/sgjfm4uhcjfmlfhmd7ikcivrei">fatcat:sgjfm4uhcjfmlfhmd7ikcivrei</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200208220501/http://europepmc.org/backend/ptpmcrender.fcgi?accid=PMC5321894&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/e2/94/e29443363deeb11cfbb370bcda3216eb37abad83.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1016/j.neuroimage.2016.10.005"> <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> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5321894" title="pubmed link"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> pubmed.gov </button> </a>

Diffusion map for clustering fMRI spatial maps extracted by independent component analysis

Tuomo Sipola, Fengyu Cong, Tapani Ristaniemi, Vinoo Alluri, Petri Toiviainen, Elvira Brattico, Asoke K. Nandi
<span title="">2013</span> <i title="IEEE"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/2w7gf27gjrhovczep6ynbg5x3i" style="color: black;">2013 IEEE International Workshop on Machine Learning for Signal Processing (MLSP)</a> </i> &nbsp;
Functional magnetic resonance imaging (fMRI) produces data about activity inside the brain, from which spatial maps can be extracted by independent component analysis (ICA).  ...  The number of voxels is very high compared to the number of analyzed spatial maps. Clustering of the spatial maps is usually based on correlation matrices.  ...  Erich Seifritz, Francesco Di Salle, et al., "Independent component analysis of fMRI group studies by self-organizing clustering," Neuroimage, vol. 25, no. 1, pp. 193-205, 2005. [6] Ian Jolliffe, Principal  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/mlsp.2013.6661923">doi:10.1109/mlsp.2013.6661923</a> <a target="_blank" rel="external noopener" href="https://dblp.org/rec/conf/mlsp/SipolaCRATBN13.html">dblp:conf/mlsp/SipolaCRATBN13</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/7oae6vazozbarfs7eojmmmmevq">fatcat:7oae6vazozbarfs7eojmmmmevq</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20170809160835/http://users.jyu.fi/~tusesipo/papers/Sipola_etal_Diffusion_map_for_clustering_fMRI_spatial_maps_extracted_by_independent_component_analysis.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/97/7f97815f3789eccebbe5531de84fd6561fa96ea5.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/mlsp.2013.6661923"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> ieee.com </button> </a>

Abnormal Brain Default-Mode Network Functional Connectivity in Drug Addicts

Ning Ma, Ying Liu, Xian-Ming Fu, Nan Li, Chang-Xin Wang, Hao Zhang, Ruo-Bing Qian, Hu-Sheng Xu, Xiaoping Hu, Da-Ren Zhang, Ben Harrison
<span title="2011-01-26">2011</span> <i title="Public Library of Science (PLoS)"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/s3gm7274mfe6fcs7e3jterqlri" style="color: black;">PLoS ONE</a> </i> &nbsp;
years, range from 20 to 39 years) were investigated with independent component analysis to address their functional connectivity of the DMN.  ...  As the anterior cingulate cortex and hippocampus are impaired in drug addiction and meanwhile are parts of the DMN, the present study examined addictionrelated alteration of functional connectivity of  ...  Acknowledgments We thank the anonymous reviewer and the editor of PLoS ONE for their helpful comments and suggestions and Dr. Xiao-Chu Zhang, Dr.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1371/journal.pone.0016560">doi:10.1371/journal.pone.0016560</a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/21298074">pmid:21298074</a> <a target="_blank" rel="external noopener" href="https://pubmed.ncbi.nlm.nih.gov/PMC3027699/">pmcid:PMC3027699</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/qjhp6zrstjeoncz2uttkzbebba">fatcat:qjhp6zrstjeoncz2uttkzbebba</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20170927171028/http://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0016560&amp;type=printable" 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/e8/f9/e8f93f4899fe1c0eb0b98c79f014429c6915e278.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1371/journal.pone.0016560"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> plos.org </button> </a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3027699" title="pubmed link"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> pubmed.gov </button> </a>

Model-free functional MRI analysis based on unsupervised clustering

Axel Wismüller, Anke Meyer-Bäse, Oliver Lange, Dorothee Auer, Maximilian F. Reiser, DeWitt Sumners
<span title="">2004</span> <i title="Elsevier BV"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/p4kk6lusgrhyxecgig72iasi5q" style="color: black;">Journal of Biomedical Informatics</a> </i> &nbsp;
A comparison of this new method with KohonenÕs self-organizing map and with a fuzzy clustering scheme based on deterministic annealing is done in a systematic fMRI study showing comparative quantitative  ...  The most important findings in this paper are: (1) both "neural gas" and the fuzzy clustering technique outperform KohonenÕs map in terms of identifying signal components with high correlation to the fMRI  ...  Acknowledgment The authors greatly appreciate the programming efforts of Thomas Dan Otto.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1016/j.jbi.2003.12.002">doi:10.1016/j.jbi.2003.12.002</a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/15016382">pmid:15016382</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/ifzdabczuvgojc4oxjg3edcjka">fatcat:ifzdabczuvgojc4oxjg3edcjka</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20190308235400/https://core.ac.uk/download/pdf/82159345.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/33/d2/33d204c7add908041c4297ce6f873a72976b0b45.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1016/j.jbi.2003.12.002"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> elsevier.com </button> </a>

The Integration of Functional Brain Activity from Adolescence to Adulthood

Prantik Kundu, Brenda E. Benson, Dana Rosen, Sophia Frangou, Ellen Leibenluft, Wen-Ming Luh, Peter A. Bandettini, Daniel S. Pine, Monique Ernst
<span title="2018-02-27">2018</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;
However, developmental fMRI studies have relied on reference maps of adult brain organization in the analysis of data from younger subjects.  ...  This approach newly enables reliable detection of BOLD signal components at the subject level as opposed to solely at the group-average level.  ...  Specifically, we had the following three aims: (1) to show that age affects the number of components in the fMRI signal, as detected experimentally using ME-independent component analysis (ICA); (2) to  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1523/jneurosci.1864-17.2018">doi:10.1523/jneurosci.1864-17.2018</a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/29487126">pmid:29487126</a> <a target="_blank" rel="external noopener" href="https://pubmed.ncbi.nlm.nih.gov/PMC5895042/">pmcid:PMC5895042</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/cigelbxmuzexvdhmkhtvmpmba4">fatcat:cigelbxmuzexvdhmkhtvmpmba4</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20190426234811/http://www.jneurosci.org/content/jneuro/38/14/3559.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/fd/28/fd2844cccb3e6e6ed4a6398912ccc0e0cd3e3f72.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1523/jneurosci.1864-17.2018"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> Publisher / doi.org </button> </a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5895042" title="pubmed link"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> pubmed.gov </button> </a>

Measuring relative timings of brain activities using fMRI

Santosh B. Katwal, John C. Gore, J. Christopher Gatenby, Baxter P. Rogers
<span title="">2013</span> <i title="Elsevier BV"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/sa477uo7lveh7hchpikpixop5u" style="color: black;">NeuroImage</a> </i> &nbsp;
For signal extraction, the self-organizing map approach outperformed other common techniques including independent component analysis, voxelwise univariate linear regression analysis and a separate localizer  ...  of self-organizing maps and Granger causality to measure relative timing.  ...  Acknowledgments This research was supported by National Institutes of Health, NIH 5R01EB000461 (Principal Investigator JCG).  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1016/j.neuroimage.2012.10.052">doi:10.1016/j.neuroimage.2012.10.052</a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/23110880">pmid:23110880</a> <a target="_blank" rel="external noopener" href="https://pubmed.ncbi.nlm.nih.gov/PMC3593774/">pmcid:PMC3593774</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/ujrjmzhx25didhn5awz4ofbipy">fatcat:ujrjmzhx25didhn5awz4ofbipy</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20191014062652/http://europepmc.org/backend/ptpmcrender.fcgi?accid=PMC3593774&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/d3/cf/d3cf3f868b63d2b9c250e0f1d55b6a82b6202c98.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1016/j.neuroimage.2012.10.052"> <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> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3593774" title="pubmed link"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> pubmed.gov </button> </a>

Brain Connections – Resting State fMRI Functional Connectivity [chapter]

Maria de la Iglesia-Vaya, Jose Molina-Mateo, Ma Jose, Ahmad S., Luis Marti-Bonmati
<span title="2013-01-09">2013</span> <i title="InTech"> Novel Frontiers of Advanced Neuroimaging </i> &nbsp;
This study was supported by Spanish grants from Ministry of Science  ...  This component has been studied in different ways, the main interest of past studies that implemented model-dependent method (seed voxel techniques) [5, 52] as well as independent component analysis  ...  In the context of the study of functional connectivity analysis in rs-fMRI, clustering algorithms have been used to perform brain parcellation in groups of voxels or regions that are functionally connected  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.5772/52273">doi:10.5772/52273</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/gyvazp266jh5fmvlpaz3ui7tku">fatcat:gyvazp266jh5fmvlpaz3ui7tku</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20130914063428/http://cdn.intechopen.com:80/pdfs/41878/InTech-Brain_connections_resting_state_fmri_functional_connectivity.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/e5/fb/e5fbba1e6ec808fc2c8c9f813307d5e8295d9973.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.5772/52273"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> Publisher / doi.org </button> </a>
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