{"id":"https://openalex.org/W3112812815","doi":"https://doi.org/10.1109/ieeeconf51394.2020.9443373","title":"Inferring neural dynamics during burst suppression using a neurophysiology-inspired switching state-space model","display_name":"Inferring neural dynamics during burst suppression using a neurophysiology-inspired switching state-space model","publication_year":2020,"publication_date":"2020-11-01","ids":{"openalex":"https://openalex.org/W3112812815","doi":"https://doi.org/10.1109/ieeeconf51394.2020.9443373","mag":"3112812815"},"language":"en","primary_location":{"id":"doi:10.1109/ieeeconf51394.2020.9443373","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ieeeconf51394.2020.9443373","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 54th Asilomar Conference on Signals, Systems, and Computers","raw_type":"proceedings-article"},"type":"preprint","indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2012.02246","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5054462593","display_name":"Gabriel Schamberg","orcid":"https://orcid.org/0000-0002-4188-9614"},"institutions":[{"id":"https://openalex.org/I63966007","display_name":"Massachusetts Institute of Technology","ror":"https://ror.org/042nb2s44","country_code":"US","type":"education","lineage":["https://openalex.org/I63966007"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Gabriel Schamberg","raw_affiliation_strings":["Massachusetts Institute of Technology, Picower Institute for Learning and Memory","Picower Institute for Learning and Memory, Massachusetts Institute of Technology"],"affiliations":[{"raw_affiliation_string":"Massachusetts Institute of Technology, Picower Institute for Learning and Memory","institution_ids":["https://openalex.org/I63966007"]},{"raw_affiliation_string":"Picower Institute for Learning and Memory, Massachusetts Institute of Technology","institution_ids":["https://openalex.org/I63966007"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087206490","display_name":"S. Chakravarty","orcid":"https://orcid.org/0000-0002-3682-2060"},"institutions":[{"id":"https://openalex.org/I63966007","display_name":"Massachusetts Institute of Technology","ror":"https://ror.org/042nb2s44","country_code":"US","type":"education","lineage":["https://openalex.org/I63966007"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Sourish Chakravarty","raw_affiliation_strings":["Massachusetts Institute of Technology, Picower Institute for Learning and Memory","Picower Institute for Learning and Memory, Massachusetts Institute of Technology"],"affiliations":[{"raw_affiliation_string":"Massachusetts Institute of Technology, Picower Institute for Learning and Memory","institution_ids":["https://openalex.org/I63966007"]},{"raw_affiliation_string":"Picower Institute for Learning and Memory, Massachusetts Institute of Technology","institution_ids":["https://openalex.org/I63966007"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049660848","display_name":"Taylor E. Baum","orcid":null},"institutions":[{"id":"https://openalex.org/I63966007","display_name":"Massachusetts Institute of Technology","ror":"https://ror.org/042nb2s44","country_code":"US","type":"education","lineage":["https://openalex.org/I63966007"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Taylor E. Baum","raw_affiliation_strings":["Electrical Engineering and Computer Science Department, Massachusetts Institute of Technology","Massachusetts Institute of Technology,Electrical Engineering and Computer Science Department"],"affiliations":[{"raw_affiliation_string":"Electrical Engineering and Computer Science Department, Massachusetts Institute of Technology","institution_ids":["https://openalex.org/I63966007"]},{"raw_affiliation_string":"Massachusetts Institute of Technology,Electrical Engineering and Computer Science Department","institution_ids":["https://openalex.org/I63966007"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5030321614","display_name":"Emery N. Brown","orcid":"https://orcid.org/0000-0003-2668-7819"},"institutions":[{"id":"https://openalex.org/I63966007","display_name":"Massachusetts Institute of Technology","ror":"https://ror.org/042nb2s44","country_code":"US","type":"education","lineage":["https://openalex.org/I63966007"]},{"id":"https://openalex.org/I136199984","display_name":"Harvard University","ror":"https://ror.org/03vek6s52","country_code":"US","type":"education","lineage":["https://openalex.org/I136199984"]},{"id":"https://openalex.org/I4210087915","display_name":"Massachusetts General Hospital","ror":"https://ror.org/002pd6e78","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I4210087915","https://openalex.org/I48633490"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Emery N. Brown","raw_affiliation_strings":["Department of Anesthesia, Critical Care and Pain Medicine, Massachusetts General Hospital","Division of Sleep Medicine, Harvard Medical School, MA, USA","Massachusetts Institute of Technology, Picower Institute for Learning and Memory","Picower Institute for Learning and Memory, Massachusetts Institute of Technology"],"affiliations":[{"raw_affiliation_string":"Department of Anesthesia, Critical Care and Pain Medicine, Massachusetts General Hospital","institution_ids":["https://openalex.org/I4210087915"]},{"raw_affiliation_string":"Division of Sleep Medicine, Harvard Medical School, MA, USA","institution_ids":["https://openalex.org/I136199984"]},{"raw_affiliation_string":"Massachusetts Institute of Technology, Picower Institute for Learning and Memory","institution_ids":["https://openalex.org/I63966007"]},{"raw_affiliation_string":"Picower Institute for Learning and Memory, Massachusetts Institute of Technology","institution_ids":["https://openalex.org/I63966007"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5054462593"],"corresponding_institution_ids":["https://openalex.org/I63966007"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.15382676,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"92","last_page":"96"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.9959999918937683,"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/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.9959999918937683,"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/T10436","display_name":"Anesthesia and Sedative Agents","score":0.9929999709129333,"subfield":{"id":"https://openalex.org/subfields/2703","display_name":"Anesthesiology and Pain Medicine"},"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/T10581","display_name":"Neural dynamics and brain function","score":0.98580002784729,"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/electroencephalography","display_name":"Electroencephalography","score":0.6711182594299316},{"id":"https://openalex.org/keywords/neurophysiology","display_name":"Neurophysiology","score":0.6284334659576416},{"id":"https://openalex.org/keywords/autoregressive-model","display_name":"Autoregressive model","score":0.5801762342453003},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.44385865330696106},{"id":"https://openalex.org/keywords/bursting","display_name":"Bursting","score":0.43992286920547485},{"id":"https://openalex.org/keywords/statistical-physics","display_name":"Statistical physics","score":0.42836976051330566},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.4225904941558838},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3924744129180908},{"id":"https://openalex.org/keywords/neuroscience","display_name":"Neuroscience","score":0.38553890585899353},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.31273210048675537},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.25597286224365234},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.12272942066192627}],"concepts":[{"id":"https://openalex.org/C522805319","wikidata":"https://www.wikidata.org/wiki/Q179965","display_name":"Electroencephalography","level":2,"score":0.6711182594299316},{"id":"https://openalex.org/C152478114","wikidata":"https://www.wikidata.org/wiki/Q660910","display_name":"Neurophysiology","level":2,"score":0.6284334659576416},{"id":"https://openalex.org/C159877910","wikidata":"https://www.wikidata.org/wiki/Q2202883","display_name":"Autoregressive model","level":2,"score":0.5801762342453003},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.44385865330696106},{"id":"https://openalex.org/C195221683","wikidata":"https://www.wikidata.org/wiki/Q5000649","display_name":"Bursting","level":2,"score":0.43992286920547485},{"id":"https://openalex.org/C121864883","wikidata":"https://www.wikidata.org/wiki/Q677916","display_name":"Statistical physics","level":1,"score":0.42836976051330566},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.4225904941558838},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3924744129180908},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.38553890585899353},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.31273210048675537},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.25597286224365234},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.12272942066192627}],"mesh":[],"locations_count":5,"locations":[{"id":"doi:10.1109/ieeeconf51394.2020.9443373","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ieeeconf51394.2020.9443373","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 54th Asilomar Conference on Signals, Systems, and Computers","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2012.02246","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2012.02246","pdf_url":"https://arxiv.org/pdf/2012.02246","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"mag:3112812815","is_oa":true,"landing_page_url":"https://arxiv.org/pdf/2012.02246.pdf","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"arXiv (Cornell University)","raw_type":null},{"id":"pmh:oai:dspace.mit.edu:1721.1/138188.2","is_oa":false,"landing_page_url":"https://hdl.handle.net/1721.1/138188.2","pdf_url":null,"source":{"id":"https://openalex.org/S4306400425","display_name":"DSpace@MIT (Massachusetts Institute of Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I63966007","host_organization_name":"Massachusetts Institute of Technology","host_organization_lineage":["https://openalex.org/I63966007"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-sa","license_id":"https://openalex.org/licenses/cc-by-nc-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"arXiv","raw_type":"http://purl.org/eprint/type/ConferencePaper"},{"id":"doi:10.48550/arxiv.2012.02246","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2012.02246","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2012.02246","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2012.02246","pdf_url":"https://arxiv.org/pdf/2012.02246","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3526151021","display_name":null,"funder_award_id":"1122374","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G4435769611","display_name":null,"funder_award_id":"P01 GM118629","funder_id":"https://openalex.org/F4320332161","funder_display_name":"National Institutes of Health"},{"id":"https://openalex.org/G5635854791","display_name":null,"funder_award_id":"112237","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G6894402473","display_name":null,"funder_award_id":"Fellowship","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G7297461854","display_name":null,"funder_award_id":"122374","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G8441854016","display_name":null,"funder_award_id":"GRFP 1122374","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G848032724","display_name":null,"funder_award_id":"Science","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320332161","display_name":"National Institutes of Health","ror":"https://ror.org/01cwqze88"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W1545050323","https://openalex.org/W1988881714","https://openalex.org/W2002996884","https://openalex.org/W2012388461","https://openalex.org/W2018751126","https://openalex.org/W2022894064","https://openalex.org/W2027257457","https://openalex.org/W2048796971","https://openalex.org/W2077611006","https://openalex.org/W2078214227","https://openalex.org/W2084467428","https://openalex.org/W2092300212","https://openalex.org/W2099878046","https://openalex.org/W2111787305","https://openalex.org/W2135583342","https://openalex.org/W2166263464","https://openalex.org/W2168126101","https://openalex.org/W2170688091","https://openalex.org/W2549605494","https://openalex.org/W2779869602","https://openalex.org/W2980237771","https://openalex.org/W4233499259","https://openalex.org/W6676780147"],"related_works":["https://openalex.org/W2509940611","https://openalex.org/W3103209884","https://openalex.org/W2096935768","https://openalex.org/W2765335313","https://openalex.org/W1997543502","https://openalex.org/W639539350","https://openalex.org/W2168210093","https://openalex.org/W2033897489","https://openalex.org/W2116647777","https://openalex.org/W2054017177","https://openalex.org/W2046902705","https://openalex.org/W2032569514","https://openalex.org/W1990869902","https://openalex.org/W2771558206","https://openalex.org/W1903798069","https://openalex.org/W2153046670","https://openalex.org/W2761372672","https://openalex.org/W3198329216","https://openalex.org/W1578908354","https://openalex.org/W2624744267"],"abstract_inverted_index":{"Burst":[0],"suppression":[1],"is":[2,21,43],"an":[3],"electroencephalography":[4],"(EEG)":[5],"pattern":[6],"associated":[7,51],"with":[8,52,120],"profoundly":[9],"inactivated":[10],"brain":[11,49,76,109,113,188],"states":[12,50,73,77,114],"characterized":[13],"by":[14],"cerebral":[15],"metabolic":[16],"depression.":[17],"Its":[18],"distinctive":[19],"feature":[20],"alternation":[22],"between":[23],"short":[24],"temporal":[25],"segments":[26],"of":[27,46,62,85,104,106,174,187],"near-isoelectric":[28],"inactivity":[29],"(suppressions)":[30],"and":[31,57,78],"relatively":[32],"high-voltage":[33],"activity":[34],"(bursts).":[35],"Prior":[36],"modeling":[37],"studies":[38],"suggest":[39],"that":[40,123],"burst-suppression":[41,176],"EEG":[42,87,177],"a":[44,55,60,89,100,161],"manifestation":[45,103],"two":[47,107,112],"alternating":[48,75],"consumption":[53],"(during":[54,59],"burst)":[56],"production":[58],"suppression)":[61],"adenosine":[63],"triphosphate":[64],"(ATP).":[65],"This":[66],"finding":[67],"motivates":[68],"us":[69],"to":[70,117,133,145],"infer":[71],"latent":[72,153],"characterizing":[74],"underlying":[79],"ATP":[80,128,141],"kinetics":[81,142],"from":[82,158],"instantaneous":[83,127],"power":[84],"multichannel":[86],"using":[88,160],"switching":[90],"state-space":[91],"model.":[92],"Our":[93,152,166],"model":[94,168],"assumes":[95],"Gaussian":[96],"distributed":[97],"data":[98,159],"as":[99,147],"broadcast":[101],"network":[102],"one":[105],"global":[108],"states.":[110],"The":[111,136],"are":[115,143,156],"allowed":[116,144],"stochastically":[118],"alternate":[119],"transition":[121],"probabilities":[122],"depend":[124],"on":[125,184],"the":[126,140,185],"level,":[129],"which":[130],"evolves":[131],"according":[132],"first-order":[134],"kinetics.":[135],"rate":[137],"constants":[138],"governing":[139],"vary":[146],"first-":[148],"order":[149],"autoregressive":[150],"processes.":[151],"state":[154],"estimates":[155],"determined":[157],"sequential":[162],"Monte":[163],"Carlo":[164],"algorithm.":[165],"neurophysiology-informed":[167],"not":[169],"only":[170],"provides":[171],"unsupervised":[172],"segmentation":[173],"multi-channel":[175],"but":[178],"can":[179],"also":[180],"generate":[181],"additional":[182],"insights":[183],"level":[186],"inactivation":[189],"during":[190],"anesthesia.":[191]},"counts_by_year":[],"updated_date":"2026-04-15T08:11:43.952461","created_date":"2025-10-10T00:00:00"}