{"id":"https://openalex.org/W4319034721","doi":"https://doi.org/10.3390/s23031603","title":"Age Related Functional Connectivity Signature Extraction Using Energy-Based Machine Learning Techniques","display_name":"Age Related Functional Connectivity Signature Extraction Using Energy-Based Machine Learning Techniques","publication_year":2023,"publication_date":"2023-02-01","ids":{"openalex":"https://openalex.org/W4319034721","doi":"https://doi.org/10.3390/s23031603","pmid":"https://pubmed.ncbi.nlm.nih.gov/36772649"},"language":"en","primary_location":{"id":"doi:10.3390/s23031603","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s23031603","pdf_url":"https://www.mdpi.com/1424-8220/23/3/1603/pdf?version=1675263106","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"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":"Sensors","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","datacite","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/1424-8220/23/3/1603/pdf?version=1675263106","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5067377474","display_name":"Sravani Varanasi","orcid":"https://orcid.org/0000-0002-8862-0049"},"institutions":[{"id":"https://openalex.org/I79272384","display_name":"University of Maryland, Baltimore County","ror":"https://ror.org/02qskvh78","country_code":"US","type":"education","lineage":["https://openalex.org/I79272384"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Sravani Varanasi","raw_affiliation_strings":["Department of Electrical Engineering and Computer Science, University of Maryland Baltimore County, Baltimore, MD 21250, USA"],"raw_orcid":"https://orcid.org/0000-0002-8862-0049","affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering and Computer Science, University of Maryland Baltimore County, Baltimore, MD 21250, USA","institution_ids":["https://openalex.org/I79272384"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5012764093","display_name":"Roopan Tuli","orcid":"https://orcid.org/0000-0003-0277-3165"},"institutions":[{"id":"https://openalex.org/I16269868","display_name":"Santa Clara University","ror":"https://ror.org/03ypqe447","country_code":"US","type":"education","lineage":["https://openalex.org/I16269868"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Roopan Tuli","raw_affiliation_strings":["Department of Electrical Engineering, Santa Clara University, Santa Clara, CA 95053, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Santa Clara University, Santa Clara, CA 95053, USA","institution_ids":["https://openalex.org/I16269868"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046921517","display_name":"Fei Han","orcid":"https://orcid.org/0000-0003-2454-4187"},"institutions":[{"id":"https://openalex.org/I79272384","display_name":"University of Maryland, Baltimore County","ror":"https://ror.org/02qskvh78","country_code":"US","type":"education","lineage":["https://openalex.org/I79272384"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Fei Han","raw_affiliation_strings":["The Hilltop Institute, University of Maryland Baltimore County, Baltimore, MD 21250, USA"],"raw_orcid":"https://orcid.org/0000-0003-2454-4187","affiliations":[{"raw_affiliation_string":"The Hilltop Institute, University of Maryland Baltimore County, Baltimore, MD 21250, USA","institution_ids":["https://openalex.org/I79272384"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100419037","display_name":"Rong Chen","orcid":"https://orcid.org/0000-0003-1298-9381"},"institutions":[{"id":"https://openalex.org/I126744593","display_name":"University of Maryland, Baltimore","ror":"https://ror.org/04rq5mt64","country_code":"US","type":"education","lineage":["https://openalex.org/I126744593"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Rong Chen","raw_affiliation_strings":["Department of Diagnostic Radiology and Nuclear Medicine, University of Maryland Baltimore, Baltimore, MD 21201, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Diagnostic Radiology and Nuclear Medicine, University of Maryland Baltimore, Baltimore, MD 21201, USA","institution_ids":["https://openalex.org/I126744593"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5074026920","display_name":"Fow\u2010Sen Choa","orcid":"https://orcid.org/0000-0001-9613-6110"},"institutions":[{"id":"https://openalex.org/I79272384","display_name":"University of Maryland, Baltimore County","ror":"https://ror.org/02qskvh78","country_code":"US","type":"education","lineage":["https://openalex.org/I79272384"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Fow-Sen Choa","raw_affiliation_strings":["Department of Electrical Engineering and Computer Science, University of Maryland Baltimore County, Baltimore, MD 21250, USA"],"raw_orcid":"https://orcid.org/0000-0001-9613-6110","affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering and Computer Science, University of Maryland Baltimore County, Baltimore, MD 21250, USA","institution_ids":["https://openalex.org/I79272384"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5067377474"],"corresponding_institution_ids":["https://openalex.org/I79272384"],"apc_list":{"value":2400,"currency":"CHF","value_usd":2673},"apc_paid":{"value":2400,"currency":"CHF","value_usd":2673},"fwci":0.261,"has_fulltext":true,"cited_by_count":2,"citation_normalized_percentile":{"value":0.46590882,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":95},"biblio":{"volume":"23","issue":"3","first_page":"1603","last_page":"1603"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10241","display_name":"Functional Brain Connectivity Studies","score":0.9998999834060669,"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":0.9998999834060669,"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/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/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.9968000054359436,"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/functional-connectivity","display_name":"Functional connectivity","score":0.5929235219955444},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.545981764793396},{"id":"https://openalex.org/keywords/signature","display_name":"Signature (topology)","score":0.5171324610710144},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5072224140167236},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4643346071243286},{"id":"https://openalex.org/keywords/bonferroni-correction","display_name":"Bonferroni correction","score":0.4559392035007477},{"id":"https://openalex.org/keywords/resting-state-fmri","display_name":"Resting state fMRI","score":0.4457660913467407},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4348599314689636},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4082064926624298},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.3480478823184967},{"id":"https://openalex.org/keywords/neuroscience","display_name":"Neuroscience","score":0.3436374366283417},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.18939104676246643},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.17666229605674744}],"concepts":[{"id":"https://openalex.org/C3018011982","wikidata":"https://www.wikidata.org/wiki/Q7316120","display_name":"Functional connectivity","level":2,"score":0.5929235219955444},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.545981764793396},{"id":"https://openalex.org/C2779696439","wikidata":"https://www.wikidata.org/wiki/Q7512811","display_name":"Signature (topology)","level":2,"score":0.5171324610710144},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5072224140167236},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4643346071243286},{"id":"https://openalex.org/C127808970","wikidata":"https://www.wikidata.org/wiki/Q385989","display_name":"Bonferroni correction","level":2,"score":0.4559392035007477},{"id":"https://openalex.org/C66324658","wikidata":"https://www.wikidata.org/wiki/Q7316120","display_name":"Resting state fMRI","level":2,"score":0.4457660913467407},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4348599314689636},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4082064926624298},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.3480478823184967},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.3436374366283417},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.18939104676246643},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.17666229605674744},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","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":"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":"D000375","descriptor_name":"Aging","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":true},{"descriptor_ui":"D000375","descriptor_name":"Aging","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":true},{"descriptor_ui":"D000375","descriptor_name":"Aging","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":true},{"descriptor_ui":"D000375","descriptor_name":"Aging","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":true},{"descriptor_ui":"D001921","descriptor_name":"Brain","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":true},{"descriptor_ui":"D001921","descriptor_name":"Brain","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":true},{"descriptor_ui":"D001921","descriptor_name":"Brain","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":true},{"descriptor_ui":"D001921","descriptor_name":"Brain","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":true},{"descriptor_ui":"D001921","descriptor_name":"Brain","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":true},{"descriptor_ui":"D001921","descriptor_name":"Brain","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":true},{"descriptor_ui":"D001921","descriptor_name":"Brain","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":true},{"descriptor_ui":"D001921","descriptor_name":"Brain","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":true},{"descriptor_ui":"D001931","descriptor_name":"Brain Mapping","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D001931","descriptor_name":"Brain Mapping","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D001931","descriptor_name":"Brain Mapping","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D001931","descriptor_name":"Brain Mapping","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":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008279","descriptor_name":"Magnetic Resonance Imaging","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008279","descriptor_name":"Magnetic Resonance Imaging","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008279","descriptor_name":"Magnetic Resonance Imaging","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008279","descriptor_name":"Magnetic Resonance Imaging","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D009434","descriptor_name":"Neural Pathways","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D009434","descriptor_name":"Neural Pathways","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D009434","descriptor_name":"Neural Pathways","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D009434","descriptor_name":"Neural Pathways","qualifier_ui":"Q000502","qualifier_name":"physiology","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":"D055815","descriptor_name":"Young Adult","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":7,"locations":[{"id":"doi:10.3390/s23031603","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s23031603","pdf_url":"https://www.mdpi.com/1424-8220/23/3/1603/pdf?version=1675263106","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"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":"Sensors","raw_type":"journal-article"},{"id":"pmid:36772649","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/36772649","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":"Sensors (Basel, Switzerland)","raw_type":null},{"id":"pmh:oai:mdsoar.org:11603/26927","is_oa":true,"landing_page_url":"http://hdl.handle.net/11603/26927","pdf_url":"https://mdsoar.org/bitstreams/6d2c655d-0b6d-433f-8326-2986586b86b5/download","source":{"id":"https://openalex.org/S4306402556","display_name":"Maryland Shared Open Access Repository (USMAI Consortium)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Text"},{"id":"pmh:oai:pubmedcentral.nih.gov:9920122","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/9920122","pdf_url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC9920122/pdf/sensors-23-01603.pdf","source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors (Basel)","raw_type":"Text"},{"id":"pmh:oai:doaj.org/article:cf44bbb710534da483efdcf61998137e","is_oa":true,"landing_page_url":"https://doaj.org/article/cf44bbb710534da483efdcf61998137e","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors, Vol 23, Iss 3, p 1603 (2023)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/1424-8220/23/3/1603/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/s23031603","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors","raw_type":"Text"},{"id":"doi:10.13016/m21lod-mdl3","is_oa":true,"landing_page_url":"https://doi.org/10.13016/m21lod-mdl3","pdf_url":null,"source":{"id":"https://openalex.org/S4306402644","display_name":"Digital Repository at the University of Maryland (University of Maryland College Park)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I66946132","host_organization_name":"University of Maryland, College Park","host_organization_lineage":["https://openalex.org/I66946132"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":null}],"best_oa_location":{"id":"doi:10.3390/s23031603","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s23031603","pdf_url":"https://www.mdpi.com/1424-8220/23/3/1603/pdf?version=1675263106","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"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":"Sensors","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7","score":0.800000011920929}],"awards":[{"id":"https://openalex.org/G230028547","display_name":null,"funder_award_id":"R01-NS110421","funder_id":"https://openalex.org/F4320337359","funder_display_name":"National Institute of Neurological Disorders and Stroke"}],"funders":[{"id":"https://openalex.org/F4152001309","display_name":"BRAIN Initiative","ror":null},{"id":"https://openalex.org/F4320332161","display_name":"National Institutes of Health","ror":"https://ror.org/01cwqze88"},{"id":"https://openalex.org/F4320337359","display_name":"National Institute of Neurological Disorders and Stroke","ror":"https://ror.org/01s5ya894"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4319034721.pdf","grobid_xml":"https://content.openalex.org/works/W4319034721.grobid-xml"},"referenced_works_count":44,"referenced_works":["https://openalex.org/W1552179169","https://openalex.org/W1966805834","https://openalex.org/W1968187292","https://openalex.org/W1969845534","https://openalex.org/W1995964833","https://openalex.org/W2002372829","https://openalex.org/W2018117465","https://openalex.org/W2058046532","https://openalex.org/W2061234862","https://openalex.org/W2071384456","https://openalex.org/W2081164888","https://openalex.org/W2085845714","https://openalex.org/W2090495290","https://openalex.org/W2091465235","https://openalex.org/W2093605392","https://openalex.org/W2104897414","https://openalex.org/W2106664807","https://openalex.org/W2106990053","https://openalex.org/W2110827666","https://openalex.org/W2125823313","https://openalex.org/W2149389492","https://openalex.org/W2149983193","https://openalex.org/W2155369114","https://openalex.org/W2193480309","https://openalex.org/W2335070013","https://openalex.org/W2553306845","https://openalex.org/W2583432876","https://openalex.org/W2585855603","https://openalex.org/W2730632269","https://openalex.org/W2743282220","https://openalex.org/W2769894575","https://openalex.org/W2796965282","https://openalex.org/W2968278756","https://openalex.org/W2970957161","https://openalex.org/W2972553640","https://openalex.org/W2994166457","https://openalex.org/W2996365731","https://openalex.org/W3011490084","https://openalex.org/W3027708670","https://openalex.org/W3105514338","https://openalex.org/W3129438379","https://openalex.org/W3205544231","https://openalex.org/W6792539211","https://openalex.org/W7073789480"],"related_works":["https://openalex.org/W1520477417","https://openalex.org/W3150454329","https://openalex.org/W4250679599","https://openalex.org/W4236064658","https://openalex.org/W4403450413","https://openalex.org/W4232465970","https://openalex.org/W4244025530","https://openalex.org/W2945168867","https://openalex.org/W4233336045","https://openalex.org/W2283746446"],"abstract_inverted_index":{"The":[0],"study":[1],"of":[2,14,86,99,204,213],"brain":[3,42,64,132,202],"connectivity":[4,22,43,126,163,181,229],"plays":[5],"an":[6,57],"important":[7],"role":[8],"in":[9,41,217],"understanding":[10],"the":[11,15,87,110,118,160,170,198,205],"functional":[12,96],"organizations":[13],"brain.":[16],"It":[17],"also":[18,135,187],"helps":[19],"to":[20,46,62,116,151,227,235],"identify":[21,63],"signatures":[23,49,146],"that":[24,147,159],"can":[25,148,232],"be":[26,149,233],"used":[27,150],"for":[28],"evaluating":[29],"neural":[30],"disorders":[31],"and":[32,83,101,154,174,194,200,224,239],"monitoring":[33],"treatment":[34,242],"efficacy.":[35,243],"In":[36,215],"this":[37,218],"work,":[38,219],"age-related":[39],"changes":[40],"are":[44,125,139,208],"studied":[45],"obtain":[47],"aging":[48,145,237],"based":[50],"on":[51,109],"various":[52],"modeling":[53],"techniques.":[54],"These":[55,122],"include":[56],"energy-based":[58],"machine":[59,222],"learning":[60,223],"technique":[61],"network":[65,207],"interaction":[66],"differences":[67],"between":[68,79,192],"two":[69],"age":[70,77],"groups":[71],"with":[72,113,168],"a":[73,166,178,189],"large":[74],"(30":[75],"years)":[76],"gap":[78],"them.":[80],"Disconnectivity":[81],"graphs":[82],"activation":[84],"maps":[85],"seven":[88],"prominent":[89],"resting-state":[90],"networks":[91],"(RSN)":[92],"were":[93,107],"obtained":[94],"from":[95],"MRI":[97],"data":[98],"old":[100,155,195],"young":[102,153,175,193],"adult":[103],"subjects.":[104],"Two-sample":[105],"t-tests":[106],"performed":[108],"local":[111,123],"minimums":[112,124],"Bonferroni":[114],"correction":[115],"control":[117],"family-wise":[119],"error":[120],"rate.":[121],"states":[127],"showing":[128],"not":[129],"only":[130],"which":[131,231],"regions":[133,171,203],"but":[134],"how":[136],"strong":[137],"they":[138],"working":[140,172,210],"together.":[141,214],"They":[142],"work":[143],"as":[144],"differentiate":[152],"groups.":[156],"We":[157,185],"found":[158,188],"attention":[161],"network\u2019s":[162],"signature":[164],"is":[165],"state":[167],"all":[169],"together":[173],"subjects":[176,196],"have":[177,186],"stronger":[179],"average":[180],"among":[182],"these":[183],"regions.":[184],"common":[190],"pattern":[191],"where":[197],"left":[199],"right":[201],"frontal":[206],"sometimes":[209],"separately":[211],"instead":[212],"summary,":[216],"we":[220],"combined":[221],"statistical":[225],"approaches":[226],"extract":[228],"signatures,":[230],"utilized":[234],"distinguish":[236],"brains":[238],"monitor":[240],"possible":[241]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":1}],"updated_date":"2026-08-01T09:00:35.917206","created_date":"2025-10-10T00:00:00"}