{"id":"https://openalex.org/W2312481100","doi":"https://doi.org/10.1109/embc.2014.6944331","title":"Brain activation inhomogeneity highlighted by the Isotropic Anomalous Diffusion filter","display_name":"Brain activation inhomogeneity highlighted by the Isotropic Anomalous Diffusion filter","publication_year":2014,"publication_date":"2014-08-01","ids":{"openalex":"https://openalex.org/W2312481100","doi":"https://doi.org/10.1109/embc.2014.6944331","mag":"2312481100","pmid":"https://pubmed.ncbi.nlm.nih.gov/25570699"},"language":"en","primary_location":{"id":"doi:10.1109/embc.2014.6944331","is_oa":false,"landing_page_url":"https://doi.org/10.1109/embc.2014.6944331","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5014434949","display_name":"Antonio Carlos da Silva Senra Filho","orcid":"https://orcid.org/0000-0002-9689-6053"},"institutions":[{"id":"https://openalex.org/I17974374","display_name":"Universidade de S\u00e3o Paulo","ror":"https://ror.org/036rp1748","country_code":"BR","type":"education","lineage":["https://openalex.org/I17974374"]}],"countries":["BR"],"is_corresponding":true,"raw_author_name":"Antonio Carlos da S. Senra Filho","raw_affiliation_strings":["FFCLRP, University of S\u00e3o Paulo, Brazil"],"affiliations":[{"raw_affiliation_string":"FFCLRP, University of S\u00e3o Paulo, Brazil","institution_ids":["https://openalex.org/I17974374"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071750759","display_name":"Carlo Rondinoni","orcid":"https://orcid.org/0000-0002-0443-7272"},"institutions":[{"id":"https://openalex.org/I17974374","display_name":"Universidade de S\u00e3o Paulo","ror":"https://ror.org/036rp1748","country_code":"BR","type":"education","lineage":["https://openalex.org/I17974374"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Carlo Rondinoni","raw_affiliation_strings":["Carlo Rondinoni and Antonio Carlos dos Santos are from FMRP, University of S\u00e3o Paulo, Brazil"],"affiliations":[{"raw_affiliation_string":"Carlo Rondinoni and Antonio Carlos dos Santos are from FMRP, University of S\u00e3o Paulo, Brazil","institution_ids":["https://openalex.org/I17974374"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101915114","display_name":"Ant\u00f4nio Carlos dos Santos","orcid":"https://orcid.org/0000-0002-5502-4734"},"institutions":[{"id":"https://openalex.org/I17974374","display_name":"Universidade de S\u00e3o Paulo","ror":"https://ror.org/036rp1748","country_code":"BR","type":"education","lineage":["https://openalex.org/I17974374"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Antonio Carlos dos Santos","raw_affiliation_strings":["Universidade de Sao Paulo, Sao Paulo, S\u00c3\u00a3o Paulo, BR","Universidade de Sao Paulo, Sao Paulo, S\u00e3o Paulo, BR"],"affiliations":[{"raw_affiliation_string":"Universidade de Sao Paulo, Sao Paulo, S\u00c3\u00a3o Paulo, BR","institution_ids":["https://openalex.org/I17974374"]},{"raw_affiliation_string":"Universidade de Sao Paulo, Sao Paulo, S\u00e3o Paulo, BR","institution_ids":["https://openalex.org/I17974374"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5035901146","display_name":"Luiz Ot\u00e1vio Murta","orcid":"https://orcid.org/0000-0002-2197-6008"},"institutions":[{"id":"https://openalex.org/I17974374","display_name":"Universidade de S\u00e3o Paulo","ror":"https://ror.org/036rp1748","country_code":"BR","type":"education","lineage":["https://openalex.org/I17974374"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Luiz O. Murta","raw_affiliation_strings":["Universidade de Sao Paulo, Sao Paulo, S\u00c3\u00a3o Paulo, BR","Universidade de Sao Paulo, Sao Paulo, S\u00e3o Paulo, BR"],"affiliations":[{"raw_affiliation_string":"Universidade de Sao Paulo, Sao Paulo, S\u00c3\u00a3o Paulo, BR","institution_ids":["https://openalex.org/I17974374"]},{"raw_affiliation_string":"Universidade de Sao Paulo, Sao Paulo, S\u00e3o Paulo, BR","institution_ids":["https://openalex.org/I17974374"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5014434949"],"corresponding_institution_ids":["https://openalex.org/I17974374"],"apc_list":null,"apc_paid":null,"fwci":0.1531,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.53378453,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"62","issue":null,"first_page":"3313","last_page":"3316"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10581","display_name":"Neural dynamics and brain function","score":0.9998000264167786,"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":0.9998000264167786,"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/T10241","display_name":"Functional Brain Connectivity Studies","score":0.9997000098228455,"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":0.9983999729156494,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.6772205829620361},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.6638774871826172},{"id":"https://openalex.org/keywords/distortion","display_name":"Distortion (music)","score":0.6387063264846802},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6352537870407104},{"id":"https://openalex.org/keywords/spatial-filter","display_name":"Spatial filter","score":0.6125271916389465},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.5642703771591187},{"id":"https://openalex.org/keywords/gaussian-noise","display_name":"Gaussian noise","score":0.5586042404174805},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5351691246032715},{"id":"https://openalex.org/keywords/voxel","display_name":"Voxel","score":0.4919578731060028},{"id":"https://openalex.org/keywords/diffusion","display_name":"Diffusion","score":0.47697076201438904},{"id":"https://openalex.org/keywords/gaussian-filter","display_name":"Gaussian filter","score":0.46481427550315857},{"id":"https://openalex.org/keywords/isotropy","display_name":"Isotropy","score":0.46240168809890747},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4541759192943573},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.44432058930397034},{"id":"https://openalex.org/keywords/communication-noise","display_name":"Communication noise","score":0.4438515901565552},{"id":"https://openalex.org/keywords/gaussian-function","display_name":"Gaussian function","score":0.43223774433135986},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.36888670921325684},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3501283824443817},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.16730237007141113},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.13981136679649353},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.08407649397850037}],"concepts":[{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.6772205829620361},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.6638774871826172},{"id":"https://openalex.org/C126780896","wikidata":"https://www.wikidata.org/wiki/Q899871","display_name":"Distortion (music)","level":4,"score":0.6387063264846802},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6352537870407104},{"id":"https://openalex.org/C121475858","wikidata":"https://www.wikidata.org/wiki/Q2735911","display_name":"Spatial filter","level":2,"score":0.6125271916389465},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.5642703771591187},{"id":"https://openalex.org/C4199805","wikidata":"https://www.wikidata.org/wiki/Q2725903","display_name":"Gaussian noise","level":2,"score":0.5586042404174805},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5351691246032715},{"id":"https://openalex.org/C54170458","wikidata":"https://www.wikidata.org/wiki/Q663554","display_name":"Voxel","level":2,"score":0.4919578731060028},{"id":"https://openalex.org/C69357855","wikidata":"https://www.wikidata.org/wiki/Q163214","display_name":"Diffusion","level":2,"score":0.47697076201438904},{"id":"https://openalex.org/C65892221","wikidata":"https://www.wikidata.org/wiki/Q1113935","display_name":"Gaussian filter","level":3,"score":0.46481427550315857},{"id":"https://openalex.org/C184050105","wikidata":"https://www.wikidata.org/wiki/Q273163","display_name":"Isotropy","level":2,"score":0.46240168809890747},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4541759192943573},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.44432058930397034},{"id":"https://openalex.org/C16210155","wikidata":"https://www.wikidata.org/wiki/Q5154140","display_name":"Communication noise","level":2,"score":0.4438515901565552},{"id":"https://openalex.org/C7218915","wikidata":"https://www.wikidata.org/wiki/Q1054475","display_name":"Gaussian function","level":3,"score":0.43223774433135986},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.36888670921325684},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3501283824443817},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.16730237007141113},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.13981136679649353},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.08407649397850037},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C194257627","wikidata":"https://www.wikidata.org/wiki/Q211554","display_name":"Amplifier","level":3,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C2776257435","wikidata":"https://www.wikidata.org/wiki/Q1576430","display_name":"Bandwidth (computing)","level":2,"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/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","level":1,"score":0.0}],"mesh":[{"descriptor_ui":"D000328","descriptor_name":"Adult","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000328","descriptor_name":"Adult","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000328","descriptor_name":"Adult","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D001921","descriptor_name":"Brain","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D001921","descriptor_name":"Brain","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D001921","descriptor_name":"Brain","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D003287","descriptor_name":"Contrast Media","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D003287","descriptor_name":"Contrast Media","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D003287","descriptor_name":"Contrast Media","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005260","descriptor_name":"Female","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005260","descriptor_name":"Female","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005260","descriptor_name":"Female","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D008279","descriptor_name":"Magnetic Resonance Imaging","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D008279","descriptor_name":"Magnetic Resonance Imaging","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D008279","descriptor_name":"Magnetic Resonance Imaging","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D008297","descriptor_name":"Male","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008297","descriptor_name":"Male","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008297","descriptor_name":"Male","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008875","descriptor_name":"Middle Aged","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008875","descriptor_name":"Middle Aged","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008875","descriptor_name":"Middle Aged","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D055815","descriptor_name":"Young Adult","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D055815","descriptor_name":"Young Adult","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D055815","descriptor_name":"Young Adult","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D059629","descriptor_name":"Signal-To-Noise Ratio","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D059629","descriptor_name":"Signal-To-Noise Ratio","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D059629","descriptor_name":"Signal-To-Noise Ratio","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":2,"locations":[{"id":"doi:10.1109/embc.2014.6944331","is_oa":false,"landing_page_url":"https://doi.org/10.1109/embc.2014.6944331","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society","raw_type":"proceedings-article"},{"id":"pmid:25570699","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/25570699","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321091","display_name":"Coordena\u00e7\u00e3o de Aperfei\u00e7oamento de Pessoal de N\u00edvel Superior","ror":"https://ror.org/00x0ma614"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W1599412485","https://openalex.org/W1672879477","https://openalex.org/W1964726460","https://openalex.org/W1968022266","https://openalex.org/W1996622484","https://openalex.org/W2016444985","https://openalex.org/W2025579942","https://openalex.org/W2039785146","https://openalex.org/W2061564920","https://openalex.org/W2062114237","https://openalex.org/W2070083158","https://openalex.org/W2092062478","https://openalex.org/W2117621792","https://openalex.org/W2154146062","https://openalex.org/W2977883299","https://openalex.org/W4236396664","https://openalex.org/W6654786014","https://openalex.org/W7010610910"],"related_works":["https://openalex.org/W1970319972","https://openalex.org/W2980263616","https://openalex.org/W4386739150","https://openalex.org/W4390552075","https://openalex.org/W2025092268","https://openalex.org/W2006276623","https://openalex.org/W1912582954","https://openalex.org/W2380826994","https://openalex.org/W2945089857","https://openalex.org/W2161387545"],"abstract_inverted_index":{"The":[0,185],"visual":[1],"appealing":[2],"nature":[3],"of":[4,15,30,57,74,92,104,121,154,201],"the":[5,12,20,21,28,58,72,89,95,102,105,118,163,190],"now":[6],"popular":[7,60],"BOLD":[8],"fMRI":[9,70],"may":[10,84],"give":[11],"false":[13],"impression":[14],"extreme":[16],"simplicity,":[17],"as":[18],"if":[19],"functional":[22],"maps":[23,40,141],"could":[24],"be":[25],"generated":[26],"with":[27,198],"press":[29],"a":[31,75],"single":[32],"button.":[33],"However,":[34],"one":[35],"can":[36],"only":[37],"get":[38],"plausible":[39],"after":[41],"long":[42],"and":[43,49,66,131,171],"cautious":[44],"processing,":[45],"considering":[46],"that":[47,162],"time":[48],"noise":[50,65,197],"come":[51],"into":[52],"play":[53],"during":[54,151],"acquisition.":[55],"One":[56],"most":[59],"ways":[61],"to":[62,112,177],"account":[63],"for":[64,148],"individual":[67,202],"variability":[68,120],"in":[69,134,195],"is":[71],"use":[73,103],"Gaussian":[76,130,179],"spatial":[77],"filter.":[78],"Although":[79],"very":[80],"robust,":[81],"this":[82],"filter":[83,165,192],"introduce":[85],"excessive":[86,114],"blurring,":[87],"given":[88],"strong":[90],"dependence":[91],"results":[93,186],"on":[94,144],"central":[96],"voxel":[97],"value.":[98],"Here,":[99],"we":[100],"propose":[101],"Isotropic":[106],"Anomalous":[107],"Diffusion":[108],"(IAD)":[109],"approach,":[110],"aiming":[111],"reduce":[113],"homogeneity":[115],"while":[116],"retaining":[117],"natural":[119],"signal":[122],"across":[123],"brain":[124,145,204],"space.":[125],"We":[126],"found":[127],"differences":[128],"between":[129],"IAD":[132,164],"filters":[133],"two":[135],"parameters":[136],"gathered":[137,156],"from":[138,157],"Independent":[139],"Component":[140],"(ICA),":[142],"identified":[143],"areas":[146,170],"responsible":[147],"auditory":[149],"processing":[150],"rest.":[152],"Analysis":[153],"data":[155,181],"7":[158],"control":[159],"subjects":[160],"shows":[161],"rendered":[166],"more":[167],"localized":[168,203],"active":[169],"higher":[172],"contrast-to-noise":[173],"ratios,":[174],"when":[175],"compared":[176],"equivalent":[178],"filtered":[180],"(Student":[182],"t-test,":[183],"p<0.05).":[184],"seem":[187],"promising,":[188],"since":[189],"anomalous":[191],"performs":[193],"satisfactorily":[194],"filtering":[196],"less":[199],"distortion":[200],"responses.":[205]},"counts_by_year":[{"year":2017,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
