{"id":"https://openalex.org/W2025911413","doi":"https://doi.org/10.1109/ssp.2012.6319722","title":"A wavelet clustering technique for the identification of functionally connected regions in the rat brain using resting state fMRI","display_name":"A wavelet clustering technique for the identification of functionally connected regions in the rat brain using resting state fMRI","publication_year":2012,"publication_date":"2012-08-01","ids":{"openalex":"https://openalex.org/W2025911413","doi":"https://doi.org/10.1109/ssp.2012.6319722","mag":"2025911413"},"language":"en","primary_location":{"id":"doi:10.1109/ssp.2012.6319722","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ssp.2012.6319722","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 IEEE Statistical Signal Processing Workshop (SSP)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5042284505","display_name":"Alessio Medda","orcid":"https://orcid.org/0000-0002-0632-5338"},"institutions":[{"id":"https://openalex.org/I4388482740","display_name":"Georgia Tech Research Institute","ror":"https://ror.org/04qfrh333","country_code":null,"type":"facility","lineage":["https://openalex.org/I130701444","https://openalex.org/I4388482740"]},{"id":"https://openalex.org/I130701444","display_name":"Georgia Institute of Technology","ror":"https://ror.org/01zkghx44","country_code":"US","type":"education","lineage":["https://openalex.org/I130701444"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Alessio Medda","raw_affiliation_strings":["AeroSpace, Transportation and Advanced Systems Laboratory, Georgia Tech Research Institute, Georgia Institute of Technology, Atlanta, USA","Aerospace, Transportation and Advanced Systems Lab, Georgia Tech Research Institute, Atlanta, USA"],"affiliations":[{"raw_affiliation_string":"AeroSpace, Transportation and Advanced Systems Laboratory, Georgia Tech Research Institute, Georgia Institute of Technology, Atlanta, USA","institution_ids":["https://openalex.org/I130701444"]},{"raw_affiliation_string":"Aerospace, Transportation and Advanced Systems Lab, Georgia Tech Research Institute, Atlanta, USA","institution_ids":["https://openalex.org/I130701444","https://openalex.org/I4388482740"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053668856","display_name":"Lukas A. Hoffmann","orcid":null},"institutions":[{"id":"https://openalex.org/I150468666","display_name":"Emory University","ror":"https://ror.org/03czfpz43","country_code":"US","type":"education","lineage":["https://openalex.org/I150468666"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Lukas Hoffmann","raw_affiliation_strings":["Neuroscience Program, Emory University, USA","Neuroscience Program, Emory University, Atlanta, USA"],"affiliations":[{"raw_affiliation_string":"Neuroscience Program, Emory University, USA","institution_ids":["https://openalex.org/I150468666"]},{"raw_affiliation_string":"Neuroscience Program, Emory University, Atlanta, USA","institution_ids":["https://openalex.org/I150468666"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049985601","display_name":"Martha Willis","orcid":null},"institutions":[{"id":"https://openalex.org/I150468666","display_name":"Emory University","ror":"https://ror.org/03czfpz43","country_code":"US","type":"education","lineage":["https://openalex.org/I150468666"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Martha Willis","raw_affiliation_strings":["Department of Biomedical Engineering, GT and Emory University, Atlanta, USA"],"affiliations":[{"raw_affiliation_string":"Department of Biomedical Engineering, GT and Emory University, Atlanta, USA","institution_ids":["https://openalex.org/I150468666"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5077714388","display_name":"Matthew Magnuson","orcid":null},"institutions":[{"id":"https://openalex.org/I150468666","display_name":"Emory University","ror":"https://ror.org/03czfpz43","country_code":"US","type":"education","lineage":["https://openalex.org/I150468666"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Matthew Magnuson","raw_affiliation_strings":["Department of Biomedical Engineering, GT and Emory University, Atlanta, USA"],"affiliations":[{"raw_affiliation_string":"Department of Biomedical Engineering, GT and Emory University, Atlanta, USA","institution_ids":["https://openalex.org/I150468666"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5080980159","display_name":"Shella Keilholz","orcid":"https://orcid.org/0000-0001-5737-1660"},"institutions":[{"id":"https://openalex.org/I150468666","display_name":"Emory University","ror":"https://ror.org/03czfpz43","country_code":"US","type":"education","lineage":["https://openalex.org/I150468666"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Shella Keilholz","raw_affiliation_strings":["Department of Biomedical Engineering, GT and Emory University, Atlanta, USA"],"affiliations":[{"raw_affiliation_string":"Department of Biomedical Engineering, GT and Emory University, Atlanta, USA","institution_ids":["https://openalex.org/I150468666"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5042284505"],"corresponding_institution_ids":["https://openalex.org/I130701444","https://openalex.org/I4388482740"],"apc_list":null,"apc_paid":null,"fwci":0.558,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.64314976,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"11","issue":null,"first_page":"424","last_page":"427"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10581","display_name":"Neural dynamics and brain function","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},"topics":[{"id":"https://openalex.org/T10581","display_name":"Neural dynamics and brain function","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T11447","display_name":"Blind Source Separation Techniques","score":0.9993000030517578,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10241","display_name":"Functional Brain Connectivity Studies","score":0.9986000061035156,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.7832601070404053},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.7792009115219116},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7257363200187683},{"id":"https://openalex.org/keywords/voxel","display_name":"Voxel","score":0.7052831649780273},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5986320972442627},{"id":"https://openalex.org/keywords/wavelet","display_name":"Wavelet","score":0.5367826819419861},{"id":"https://openalex.org/keywords/hierarchical-clustering","display_name":"Hierarchical clustering","score":0.47883203625679016},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.47670289874076843},{"id":"https://openalex.org/keywords/resting-state-fmri","display_name":"Resting state fMRI","score":0.4766055941581726},{"id":"https://openalex.org/keywords/discrete-wavelet-transform","display_name":"Discrete wavelet transform","score":0.4510563611984253},{"id":"https://openalex.org/keywords/wavelet-transform","display_name":"Wavelet transform","score":0.43362587690353394},{"id":"https://openalex.org/keywords/a-priori-and-a-posteriori","display_name":"A priori and a posteriori","score":0.42401692271232605},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.4109400510787964},{"id":"https://openalex.org/keywords/neuroscience","display_name":"Neuroscience","score":0.19593024253845215},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.15499213337898254},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.08011126518249512}],"concepts":[{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.7832601070404053},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.7792009115219116},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7257363200187683},{"id":"https://openalex.org/C54170458","wikidata":"https://www.wikidata.org/wiki/Q663554","display_name":"Voxel","level":2,"score":0.7052831649780273},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5986320972442627},{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.5367826819419861},{"id":"https://openalex.org/C92835128","wikidata":"https://www.wikidata.org/wiki/Q1277447","display_name":"Hierarchical clustering","level":3,"score":0.47883203625679016},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.47670289874076843},{"id":"https://openalex.org/C66324658","wikidata":"https://www.wikidata.org/wiki/Q7316120","display_name":"Resting state fMRI","level":2,"score":0.4766055941581726},{"id":"https://openalex.org/C46286280","wikidata":"https://www.wikidata.org/wiki/Q2414958","display_name":"Discrete wavelet transform","level":4,"score":0.4510563611984253},{"id":"https://openalex.org/C196216189","wikidata":"https://www.wikidata.org/wiki/Q2867","display_name":"Wavelet transform","level":3,"score":0.43362587690353394},{"id":"https://openalex.org/C75553542","wikidata":"https://www.wikidata.org/wiki/Q178161","display_name":"A priori and a posteriori","level":2,"score":0.42401692271232605},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.4109400510787964},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.19593024253845215},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.15499213337898254},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.08011126518249512},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ssp.2012.6319722","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ssp.2012.6319722","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 IEEE Statistical Signal Processing Workshop (SSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W1760829075","https://openalex.org/W1997869686","https://openalex.org/W2009494091","https://openalex.org/W2016381774","https://openalex.org/W2037035617","https://openalex.org/W2057950952","https://openalex.org/W2062024414","https://openalex.org/W2067503172","https://openalex.org/W2073279428","https://openalex.org/W2089321051","https://openalex.org/W2117140276","https://openalex.org/W2130671706","https://openalex.org/W2132726663","https://openalex.org/W2132984323","https://openalex.org/W2133903921","https://openalex.org/W2134787383","https://openalex.org/W2137526583","https://openalex.org/W2138629253","https://openalex.org/W2146722826","https://openalex.org/W2156638605","https://openalex.org/W2171033594","https://openalex.org/W4246377848","https://openalex.org/W4247855708"],"related_works":["https://openalex.org/W3027020613","https://openalex.org/W2016533837","https://openalex.org/W3167885074","https://openalex.org/W2892386716","https://openalex.org/W1998563493","https://openalex.org/W4230045434","https://openalex.org/W4306164210","https://openalex.org/W4313316311","https://openalex.org/W4362608745","https://openalex.org/W2383143032"],"abstract_inverted_index":{"This":[0],"work":[1],"presents":[2],"a":[3,40],"new":[4],"data-driven":[5],"method":[6],"for":[7],"the":[8,15,23,44,47,57,64,68,71,76,89,93,103,106],"identification":[9],"of":[10,46,56,70,92,105],"functionally":[11],"connected":[12],"regions":[13,87],"in":[14,63,88,102],"rat":[16],"brain,":[17],"using":[18],"agglomerative":[19],"clustering":[20,65,114],"based":[21],"on":[22,33],"discrete":[24],"wavelet":[25],"transform":[26],"(DWT).":[27],"The":[28,54],"proposed":[29],"approach":[30],"is":[31,73],"evaluated":[32,74],"resting":[34],"state":[35],"fMRI":[36],"data":[37],"and":[38,67],"no":[39],"priori":[41],"assumptions":[42],"about":[43],"distribution":[45],"signals":[48,108],"or":[49],"anatomical":[50,86],"ROIs":[51],"are":[52,59,109],"made.":[53],"coefficients":[55],"DWT":[58],"used":[60],"as":[61,75],"features":[62,96],"algorithm,":[66],"performance":[69],"classifier":[72],"capability":[77],"to":[78,111],"produce":[79,112],"clusters":[80],"that":[81,97],"best":[82,98,113],"correlate":[83],"with":[84],"known":[85],"sensorimotor":[90],"cortex":[91],"brain.":[94],"Wavelet":[95],"represent":[99],"salient":[100],"characteristics":[101],"spectrum":[104],"voxel":[107],"found":[110],"results.":[115]},"counts_by_year":[{"year":2017,"cited_by_count":1},{"year":2015,"cited_by_count":1},{"year":2013,"cited_by_count":2},{"year":2012,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}