{"id":"https://openalex.org/W3110259606","doi":"https://doi.org/10.3390/axioms10010035","title":"The Role of Spectral Complexity in Connectivity Estimation","display_name":"The Role of Spectral Complexity in Connectivity Estimation","publication_year":2021,"publication_date":"2021-03-16","ids":{"openalex":"https://openalex.org/W3110259606","doi":"https://doi.org/10.3390/axioms10010035","mag":"3110259606"},"language":"en","primary_location":{"id":"doi:10.3390/axioms10010035","is_oa":true,"landing_page_url":"https://doi.org/10.3390/axioms10010035","pdf_url":"https://www.mdpi.com/2075-1680/10/1/35/pdf?version=1616557199","source":{"id":"https://openalex.org/S4210173132","display_name":"Axioms","issn_l":"2075-1680","issn":["2075-1680"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Axioms","raw_type":"journal-article"},"type":"preprint","indexed_in":["arxiv","crossref","datacite","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/2075-1680/10/1/35/pdf?version=1616557199","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5014732230","display_name":"Elisabetta Vallarino","orcid":"https://orcid.org/0000-0002-4247-6192"},"institutions":[{"id":"https://openalex.org/I83816512","display_name":"University of Genoa","ror":"https://ror.org/0107c5v14","country_code":"IT","type":"education","lineage":["https://openalex.org/I83816512"]}],"countries":["IT"],"is_corresponding":true,"raw_author_name":"Elisabetta Vallarino","raw_affiliation_strings":["Dipartimento di Matematica, Universit\u00e0 di Genova, via Dodecaneso 35, 16146 Genova, Italy"],"affiliations":[{"raw_affiliation_string":"Dipartimento di Matematica, Universit\u00e0 di Genova, via Dodecaneso 35, 16146 Genova, Italy","institution_ids":["https://openalex.org/I83816512"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5072847646","display_name":"Alberto Sorrentino","orcid":"https://orcid.org/0000-0003-3457-6780"},"institutions":[{"id":"https://openalex.org/I4210095637","display_name":"Superconducting and other Innovative Materials and Devices Institute","ror":"https://ror.org/00p03yg71","country_code":"IT","type":"facility","lineage":["https://openalex.org/I4210095637","https://openalex.org/I4210155236"]},{"id":"https://openalex.org/I83816512","display_name":"University of Genoa","ror":"https://ror.org/0107c5v14","country_code":"IT","type":"education","lineage":["https://openalex.org/I83816512"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Alberto Sorrentino","raw_affiliation_strings":["CNR\u2013SPIN, Corso Ferdinando Maria Perrone 24, 16152 Genova, Italy","Dipartimento di Matematica, Universit\u00e0 di Genova, via Dodecaneso 35, 16146 Genova, Italy"],"affiliations":[{"raw_affiliation_string":"CNR\u2013SPIN, Corso Ferdinando Maria Perrone 24, 16152 Genova, Italy","institution_ids":["https://openalex.org/I4210095637"]},{"raw_affiliation_string":"Dipartimento di Matematica, Universit\u00e0 di Genova, via Dodecaneso 35, 16146 Genova, Italy","institution_ids":["https://openalex.org/I83816512"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5088453867","display_name":"Michele Piana","orcid":"https://orcid.org/0000-0003-1700-991X"},"institutions":[{"id":"https://openalex.org/I4210095637","display_name":"Superconducting and other Innovative Materials and Devices Institute","ror":"https://ror.org/00p03yg71","country_code":"IT","type":"facility","lineage":["https://openalex.org/I4210095637","https://openalex.org/I4210155236"]},{"id":"https://openalex.org/I83816512","display_name":"University of Genoa","ror":"https://ror.org/0107c5v14","country_code":"IT","type":"education","lineage":["https://openalex.org/I83816512"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Michele Piana","raw_affiliation_strings":["CNR\u2013SPIN, Corso Ferdinando Maria Perrone 24, 16152 Genova, Italy","Dipartimento di Matematica, Universit\u00e0 di Genova, via Dodecaneso 35, 16146 Genova, Italy"],"affiliations":[{"raw_affiliation_string":"CNR\u2013SPIN, Corso Ferdinando Maria Perrone 24, 16152 Genova, Italy","institution_ids":["https://openalex.org/I4210095637"]},{"raw_affiliation_string":"Dipartimento di Matematica, Universit\u00e0 di Genova, via Dodecaneso 35, 16146 Genova, Italy","institution_ids":["https://openalex.org/I83816512"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5066610580","display_name":"Sara Sommariva","orcid":"https://orcid.org/0000-0003-1835-9399"},"institutions":[{"id":"https://openalex.org/I83816512","display_name":"University of Genoa","ror":"https://ror.org/0107c5v14","country_code":"IT","type":"education","lineage":["https://openalex.org/I83816512"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Sara Sommariva","raw_affiliation_strings":["Dipartimento di Matematica, Universit\u00e0 di Genova, via Dodecaneso 35, 16146 Genova, Italy"],"affiliations":[{"raw_affiliation_string":"Dipartimento di Matematica, Universit\u00e0 di Genova, via Dodecaneso 35, 16146 Genova, Italy","institution_ids":["https://openalex.org/I83816512"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5014732230"],"corresponding_institution_ids":["https://openalex.org/I83816512"],"apc_list":{"value":1400,"currency":"CHF","value_usd":1515},"apc_paid":{"value":1400,"currency":"CHF","value_usd":1515},"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.00468607,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"10","issue":"1","first_page":"35","last_page":"35"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10581","display_name":"Neural dynamics and brain function","score":0.9994000196456909,"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":0.9994000196456909,"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":0.998199999332428,"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/T10320","display_name":"Neural Networks and Applications","score":0.9868000149726868,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/regularization","display_name":"Regularization (linguistics)","score":0.7641000747680664},{"id":"https://openalex.org/keywords/spectral-density","display_name":"Spectral density","score":0.6930564045906067},{"id":"https://openalex.org/keywords/inverse-problem","display_name":"Inverse problem","score":0.6168339252471924},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5549027323722839},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.5524512529373169},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.48805201053619385},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.47623875737190247},{"id":"https://openalex.org/keywords/frequency-domain","display_name":"Frequency domain","score":0.47491511702537537},{"id":"https://openalex.org/keywords/noise-power","display_name":"Noise power","score":0.41046756505966187},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3738343119621277},{"id":"https://openalex.org/keywords/power","display_name":"Power (physics)","score":0.2825736403465271},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2618299722671509},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.11688223481178284}],"concepts":[{"id":"https://openalex.org/C2776135515","wikidata":"https://www.wikidata.org/wiki/Q17143721","display_name":"Regularization (linguistics)","level":2,"score":0.7641000747680664},{"id":"https://openalex.org/C168110828","wikidata":"https://www.wikidata.org/wiki/Q1331626","display_name":"Spectral density","level":2,"score":0.6930564045906067},{"id":"https://openalex.org/C135252773","wikidata":"https://www.wikidata.org/wiki/Q1567213","display_name":"Inverse problem","level":2,"score":0.6168339252471924},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5549027323722839},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.5524512529373169},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.48805201053619385},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.47623875737190247},{"id":"https://openalex.org/C19118579","wikidata":"https://www.wikidata.org/wiki/Q786423","display_name":"Frequency domain","level":2,"score":0.47491511702537537},{"id":"https://openalex.org/C203234222","wikidata":"https://www.wikidata.org/wiki/Q2133519","display_name":"Noise power","level":3,"score":0.41046756505966187},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3738343119621277},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.2825736403465271},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2618299722671509},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.11688223481178284},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","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/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0}],"mesh":[],"locations_count":5,"locations":[{"id":"doi:10.3390/axioms10010035","is_oa":true,"landing_page_url":"https://doi.org/10.3390/axioms10010035","pdf_url":"https://www.mdpi.com/2075-1680/10/1/35/pdf?version=1616557199","source":{"id":"https://openalex.org/S4210173132","display_name":"Axioms","issn_l":"2075-1680","issn":["2075-1680"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Axioms","raw_type":"journal-article"},{"id":"pmh:oai:arXiv.org:2011.14827","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2011.14827","pdf_url":"https://arxiv.org/pdf/2011.14827","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":"","raw_type":"text"},{"id":"mag:3110259606","is_oa":true,"landing_page_url":"http://export.arxiv.org/pdf/2011.14827","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:doaj.org/article:e6e06751ad0e43c585bd76d489ea0702","is_oa":true,"landing_page_url":"https://doaj.org/article/e6e06751ad0e43c585bd76d489ea0702","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Axioms, Vol 10, Iss 1, p 35 (2021)","raw_type":"article"},{"id":"doi:10.48550/arxiv.2011.14827","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2011.14827","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":"doi:10.3390/axioms10010035","is_oa":true,"landing_page_url":"https://doi.org/10.3390/axioms10010035","pdf_url":"https://www.mdpi.com/2075-1680/10/1/35/pdf?version=1616557199","source":{"id":"https://openalex.org/S4210173132","display_name":"Axioms","issn_l":"2075-1680","issn":["2075-1680"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Axioms","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3110259606.pdf","grobid_xml":"https://content.openalex.org/works/W3110259606.grobid-xml"},"referenced_works_count":56,"referenced_works":["https://openalex.org/W26205945","https://openalex.org/W1902335101","https://openalex.org/W1973042443","https://openalex.org/W1987387046","https://openalex.org/W2005530192","https://openalex.org/W2013685232","https://openalex.org/W2016980059","https://openalex.org/W2018742520","https://openalex.org/W2024991751","https://openalex.org/W2025371899","https://openalex.org/W2026916133","https://openalex.org/W2031425398","https://openalex.org/W2043729845","https://openalex.org/W2077491345","https://openalex.org/W2079733958","https://openalex.org/W2084333685","https://openalex.org/W2091421749","https://openalex.org/W2099610690","https://openalex.org/W2104731571","https://openalex.org/W2106822551","https://openalex.org/W2114424556","https://openalex.org/W2118734260","https://openalex.org/W2121402967","https://openalex.org/W2125542221","https://openalex.org/W2133478841","https://openalex.org/W2135595031","https://openalex.org/W2136562407","https://openalex.org/W2137680378","https://openalex.org/W2140064412","https://openalex.org/W2147899888","https://openalex.org/W2155136387","https://openalex.org/W2165411673","https://openalex.org/W2168448159","https://openalex.org/W2291795049","https://openalex.org/W2303586910","https://openalex.org/W2417567298","https://openalex.org/W2520059430","https://openalex.org/W2611196929","https://openalex.org/W2736850249","https://openalex.org/W2766159815","https://openalex.org/W2767901311","https://openalex.org/W2888650706","https://openalex.org/W2936767451","https://openalex.org/W2941575009","https://openalex.org/W2947626232","https://openalex.org/W2950977886","https://openalex.org/W2958152515","https://openalex.org/W2962954129","https://openalex.org/W2963304576","https://openalex.org/W2969757296","https://openalex.org/W2971677002","https://openalex.org/W2998960428","https://openalex.org/W4245496037","https://openalex.org/W4251807571","https://openalex.org/W4254863419","https://openalex.org/W6601111172"],"related_works":["https://openalex.org/W3139451344","https://openalex.org/W1988417194","https://openalex.org/W2950905573","https://openalex.org/W80221773","https://openalex.org/W2905440842","https://openalex.org/W2293569610","https://openalex.org/W3042333940","https://openalex.org/W139383317","https://openalex.org/W2617456549","https://openalex.org/W2550783225","https://openalex.org/W1494628188","https://openalex.org/W2953377921","https://openalex.org/W2913295479","https://openalex.org/W2062962405","https://openalex.org/W2107418674","https://openalex.org/W2800118221","https://openalex.org/W2090530235","https://openalex.org/W2952579095","https://openalex.org/W2020532906","https://openalex.org/W3023653415"],"abstract_inverted_index":{"The":[0],"study":[1],"of":[2,10,21,53,57,77,84,105,116,145,156,172],"functional":[3,119],"connectivity":[4,40],"from":[5,25],"magnetoecenphalographic":[6],"(MEG)":[7],"data":[8],"consists":[9],"quantifying":[11],"the":[12,19,26,31,45,51,54,58,65,74,78,82,96,102,106,113,117,124,132,143,146,153,157,169,173],"statistical":[13],"dependencies":[14],"among":[15],"time":[16,60,129],"series":[17,61,130],"describing":[18],"activity":[20,108,134],"different":[22],"neural":[23,59,107,133,174],"sources":[24],"magnetic":[27],"field":[28],"recorded":[29,135],"outside":[30],"scalp.":[32],"This":[33],"problem":[34],"can":[35],"be":[36],"addressed":[37],"by":[38,63,136],"utilizing":[39],"measures":[41],"whose":[42],"computation":[43],"in":[44,81],"frequency":[46],"domain":[47],"often":[48],"relies":[49],"on":[50,73,168],"evaluation":[52],"cross-power":[55,79,147],"spectrum":[56,80,148],"estimated":[62],"solving":[64],"MEG":[66,138],"inverse":[67,89],"problem.":[68],"Recent":[69],"studies":[70],"have":[71],"focused":[72],"optimal":[75,103,114],"determination":[76],"framework":[83],"regularization":[85,97,144,165],"theory":[86],"for":[87],"ill-posed":[88],"problems,":[90],"providing":[91],"indications":[92],"that,":[93,160],"rather":[94],"surprisingly,":[95],"process":[98],"that":[99,142],"leads":[100],"to":[101,112,140],"estimate":[104,115],"does":[109],"not":[110],"lead":[111],"corresponding":[118],"connectivity.":[120],"Along":[121],"these":[122],"lines,":[123],"present":[125],"paper":[126],"utilizes":[127],"synthetic":[128],"simulating":[131],"an":[137],"device":[139],"show":[141],"is":[149],"significantly":[150],"correlated":[151],"with":[152],"signal-to-noise":[154],"ratio":[155],"measurements":[158],"and":[159],"as":[161],"a":[162],"consequence,":[163],"this":[164],"correspondingly":[166],"depends":[167],"spectral":[170],"complexity":[171],"activity.":[175]},"counts_by_year":[],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}