{"id":"https://openalex.org/W4206588872","doi":"https://doi.org/10.3791/51226-v","title":"Using Informational Connectivity to Measure the Synchronous Emergence of fMRI Multi-voxel Information Across Time","display_name":"Using Informational Connectivity to Measure the Synchronous Emergence of fMRI Multi-voxel Information Across Time","publication_year":2014,"publication_date":"2014-07-01","ids":{"openalex":"https://openalex.org/W4206588872","doi":"https://doi.org/10.3791/51226-v"},"language":"en","primary_location":{"id":"doi:10.3791/51226-v","doi":"https://doi.org/10.3791/51226-v","is_oa":false,"landing_page_url":"https://doi.org/10.3791/51226-v","pdf_url":null,"source":{"id":"https://openalex.org/S199738284","display_name":"Journal of Visualized Experiments","issn_l":"1940-087X","issn":["1940-087X","2834-8400"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core","dongbi-d","jufo-1","ki-jl-1","medline","norway-1","poland-70","russia-white-list-2","vabb-shw"],"host_organization":"https://openalex.org/P4310320416","host_organization_name":"MyJOVE","host_organization_lineage":["https://openalex.org/P4310320416"],"host_organization_lineage_names":["MyJOVE"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Visualized Experiments","raw_type":"journal-article"},"volume":null,"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/A5068932266","display_name":"Marc N. Coutanche","orcid":"https://orcid.org/0000-0002-2232-3519","observed_orcids":["https://orcid.org/0000-0002-2232-3519"]},"institutions":[{"id":"https://openalex.org/I79576946","display_name":"University of Pennsylvania","ror":"https://ror.org/00b30xv10","country_code":"US","type":"education","lineage":["https://openalex.org/I79576946"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Marc N. Coutanche","raw_affiliation_strings":["Department of Psychology, University of Pennsylvania"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Psychology, University of Pennsylvania","institution_ids":["https://openalex.org/I79576946"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5070207883","display_name":"Sharon L. Thompson\u2010Schill","orcid":"https://orcid.org/0000-0002-9750-4306","observed_orcids":["https://orcid.org/0000-0002-9750-4306"]},"institutions":[{"id":"https://openalex.org/I79576946","display_name":"University of Pennsylvania","ror":"https://ror.org/00b30xv10","country_code":"US","type":"education","lineage":["https://openalex.org/I79576946"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Sharon L. Thompson-Schill","raw_affiliation_strings":["Department of Psychology, University of Pennsylvania"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Psychology, University of Pennsylvania","institution_ids":["https://openalex.org/I79576946"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I79576946"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.34469804,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":"89","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10241","display_name":"Functional Brain Connectivity Studies","score":1.0,"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/T10241","display_name":"Functional Brain Connectivity Studies","score":1.0,"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/T10378","display_name":"Advanced MRI Techniques and Applications","score":0.0,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T11304","display_name":"Advanced Neuroimaging Techniques and Applications","score":0.0,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/multi-voxel-pattern-analysis","display_name":"multi-voxel pattern analysis","score":0.9660000205039978},{"id":"https://openalex.org/keywords/functional-connectivity","display_name":"functional connectivity","score":0.8600000143051147},{"id":"https://openalex.org/keywords/brain-networks","display_name":"brain networks","score":0.6150000095367432},{"id":"https://openalex.org/keywords/neuronal-synchronization","display_name":"neuronal synchronization","score":0.382999986410141}],"concepts":[{"id":"https://openalex.org/C54170458","wikidata":"https://www.wikidata.org/wiki/Q663554","display_name":"Voxel","level":2,"score":0.7468457221984863},{"id":"https://openalex.org/C199163554","wikidata":"https://www.wikidata.org/wiki/Q1681619","display_name":"Univariate","level":3,"score":0.7179079055786133},{"id":"https://openalex.org/C2779226451","wikidata":"https://www.wikidata.org/wiki/Q903809","display_name":"Functional magnetic resonance imaging","level":2,"score":0.7035806775093079},{"id":"https://openalex.org/C3018011982","wikidata":"https://www.wikidata.org/wiki/Q7316120","display_name":"Functional connectivity","level":2,"score":0.6631269454956055},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6442139148712158},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.5221726894378662},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5022287368774414},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.46157798171043396},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4416598379611969},{"id":"https://openalex.org/C50231774","wikidata":"https://www.wikidata.org/wiki/Q639842","display_name":"Brain mapping","level":2,"score":0.4314889907836914},{"id":"https://openalex.org/C3018260909","wikidata":"https://www.wikidata.org/wiki/Q1322871","display_name":"Exploratory analysis","level":2,"score":0.410855770111084},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.24576923251152039},{"id":"https://openalex.org/C161584116","wikidata":"https://www.wikidata.org/wiki/Q1952580","display_name":"Multivariate statistics","level":2,"score":0.24509543180465698},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.2418690323829651},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.11462530493736267},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.3791/51226-v","doi":"https://doi.org/10.3791/51226-v","is_oa":false,"landing_page_url":"https://doi.org/10.3791/51226-v","pdf_url":null,"source":{"id":"https://openalex.org/S199738284","display_name":"Journal of Visualized Experiments","issn_l":"1940-087X","issn":["1940-087X","2834-8400"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core","dongbi-d","jufo-1","ki-jl-1","medline","norway-1","poland-70","russia-white-list-2","vabb-shw"],"host_organization":"https://openalex.org/P4310320416","host_organization_name":"MyJOVE","host_organization_lineage":["https://openalex.org/P4310320416"],"host_organization_lineage_names":["MyJOVE"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Visualized Experiments","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Good health and well-being","score":0.46810001134872437,"id":"https://metadata.un.org/sdg/3"}],"sustainable_development_goals_aurora":[{"display_name":"Reduced inequalities","score":0.699999988079071,"id":"https://metadata.un.org/sdg/10"}],"study_designs":[],"awards":[{"id":"https://openalex.org/G9000108707","display_name":null,"funder_award_id":"R0I-DC009209","funder_id":"https://openalex.org/F4320332161","funder_display_name":"National Institutes of Health"}],"funders":[{"id":"https://openalex.org/F4320306082","display_name":"Howard Hughes Medical Institute","ror":"https://ror.org/006w34k90"},{"id":"https://openalex.org/F4320332161","display_name":"National Institutes of Health","ror":"https://ror.org/01cwqze88"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W1986581915","https://openalex.org/W2009494091","https://openalex.org/W2011117759","https://openalex.org/W2036613205","https://openalex.org/W2048631316","https://openalex.org/W2089632738","https://openalex.org/W2107915763","https://openalex.org/W2109883003","https://openalex.org/W2113319997","https://openalex.org/W2117140276","https://openalex.org/W2123923307","https://openalex.org/W2127753122","https://openalex.org/W2144351977","https://openalex.org/W2144617303"],"related_works":["https://openalex.org/W7099319843","https://openalex.org/W2144617303","https://openalex.org/W2949137332","https://openalex.org/W7099066662","https://openalex.org/W2146001982","https://openalex.org/W7097650512","https://openalex.org/W3026186816","https://openalex.org/W2024470926","https://openalex.org/W1017265596","https://openalex.org/W2782132857"],"abstract_inverted_index":{"It":[0],"is":[1,118],"now":[2],"appreciated":[3],"that":[4,66,91,117,146],"condition-relevant":[5],"information":[6,40,80],"can":[7,76,105,125,141,150,159],"be":[8,77,126,160],"present":[9],"within":[10],"distributed":[11],"patterns":[12],"of":[13,27,144],"functional":[14,60],"magnetic":[15],"resonance":[16],"imaging":[17],"(fMRI)":[18],"brain":[19,52,89],"activity,":[20],"even":[21],"for":[22],"conditions":[23,93],"with":[24,41,94,108],"similar":[25],"levels":[26],"univariate":[28,74],"activation.":[29],"Multi-voxel":[30],"pattern":[31],"(MVP)":[32],"analysis":[33],"has":[34],"been":[35],"used":[36],"to":[37,49,63,79,121,130],"decode":[38],"this":[39],"great":[42],"success.":[43],"FMRI":[44],"investigators":[45],"also":[46],"often":[47],"seek":[48],"understand":[50],"how":[51],"regions":[53,65,107,145],"interact":[54],"in":[55,81,111],"interconnected":[56],"networks,":[57,157],"and":[58,164],"use":[59],"connectivity":[61,103,116],"(FC)":[62],"identify":[64,106,131],"have":[67],"correlated":[68,109],"responses":[69],"over":[70],"time.":[71],"Just":[72],"as":[73],"analyses":[75],"insensitive":[78],"MVPs,":[82],"FC":[83],"may":[84],"not":[85,119],"fully":[86],"characterize":[87],"the":[88],"networks":[90,143],"process":[92,147],"characteristic":[95],"MVP":[96],"signatures.":[97],"The":[98,123,139],"method":[99,124],"described":[100],"here,":[101],"informational":[102],"(IC),":[104],"changes":[110],"MVP-discriminability":[112],"across":[113,162],"time,":[114],"revealing":[115],"accessible":[120],"FC.":[122],"exploratory,":[127],"using":[128],"searchlights":[129],"seed-connected":[132],"areas,":[133],"or":[134,158],"planned,":[135],"between":[136],"pre-selected":[137],"regions-of-interest.":[138],"results":[140],"elucidate":[142],"MVP-related":[148],"conditions,":[149],"breakdown":[151],"MVPA":[152],"searchlight":[153],"maps":[154],"into":[155],"separate":[156],"compared":[161],"tasks":[163],"patient":[165],"groups.":[166]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-10-16T09:59:22.235173","created_date":"2022-01-26T00:00:00"}