{"id":"https://openalex.org/W7045586563","doi":null,"title":"Bridging Global and Local Topology in Whole-brain Networks using the Network Statistic Jackknife","display_name":"Bridging Global and Local Topology in Whole-brain Networks using the Network Statistic Jackknife","publication_year":2019,"publication_date":"2019-08-01","ids":{"openalex":"https://openalex.org/W7045586563"},"language":"en","primary_location":{"id":"pmh:oai:share.osf.io:518fca0a-9b1c-4e62-b65d-d983c7fbc811","doi":null,"is_oa":false,"landing_page_url":"https://osf.io/ecvx7","pdf_url":null,"source":{"id":"https://openalex.org/S4306401127","display_name":"OSF Preprints (OSF Preprints)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I2799848540","host_organization_name":"Center for Open Science","host_organization_lineage":["https://openalex.org/I2799848540"],"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":"Project"},"volume":null,"type":"preprint","indexed_in":[],"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/A5057324811","display_name":"Mary Beth Nebel","orcid":"https://orcid.org/0000-0003-0185-3382","observed_orcids":["https://orcid.org/0000-0003-0185-3382"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Mary Beth Nebel","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038137479","display_name":"Jessica Rachel Cohen","orcid":"https://orcid.org/0000-0002-6016-6526","observed_orcids":["https://orcid.org/0000-0002-6016-6526"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jessica R. Cohen","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5061521214","display_name":"Marc D. Rudolph","orcid":"https://orcid.org/0000-0001-7046-1169","observed_orcids":["https://orcid.org/0000-0001-7046-1169"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Marc D. Rudolph","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062755644","display_name":"Kelly A. Duffy","orcid":"https://orcid.org/0000-0001-8476-2077","observed_orcids":["https://orcid.org/0000-0001-8476-2077"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Kelly A. Duffy","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5025787531","display_name":"Stewart H. Mostofsky","orcid":"https://orcid.org/0000-0002-8515-2411","observed_orcids":["https://orcid.org/0000-0002-8515-2411"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Stewart H. Mostofsky","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5087304346","display_name":"Teague Rhine Henry","orcid":"https://orcid.org/0000-0002-4943-741X","observed_orcids":["https://orcid.org/0000-0002-4943-741X"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Teague R Henry","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":true,"primary_topic":{"id":"https://openalex.org/T10241","display_name":"Functional Brain Connectivity Studies","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"}},"topics":[{"id":"https://openalex.org/T10241","display_name":"Functional Brain Connectivity Studies","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/T10064","display_name":"Complex Network Analysis Techniques","score":9.999999747378752e-05,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11304","display_name":"Advanced Neuroimaging Techniques and Applications","score":9.999999747378752e-05,"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/brain-network-topology","display_name":"brain network topology","score":0.8209999799728394},{"id":"https://openalex.org/keywords/global-efficiency","display_name":"global efficiency","score":0.902999997138977},{"id":"https://openalex.org/keywords/functional-connectivity","display_name":"functional connectivity","score":0.781000018119812},{"id":"https://openalex.org/keywords/attention-deficit-hyperactivity-disorder","display_name":"attention deficit hyperactivity disorder","score":0.8999999761581421},{"id":"https://openalex.org/keywords/children","display_name":"children","score":0.8640000224113464}],"concepts":[{"id":"https://openalex.org/C81790035","wikidata":"https://www.wikidata.org/wiki/Q847158","display_name":"Jackknife resampling","level":3,"score":0.9336000084877014},{"id":"https://openalex.org/C174348530","wikidata":"https://www.wikidata.org/wiki/Q188635","display_name":"Bridging (networking)","level":2,"score":0.6446999907493591},{"id":"https://openalex.org/C89128539","wikidata":"https://www.wikidata.org/wiki/Q1949963","display_name":"Statistic","level":2,"score":0.6291999816894531},{"id":"https://openalex.org/C199845137","wikidata":"https://www.wikidata.org/wiki/Q145490","display_name":"Network topology","level":2,"score":0.6068000197410583},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5830000042915344},{"id":"https://openalex.org/C32946077","wikidata":"https://www.wikidata.org/wiki/Q618079","display_name":"Network analysis","level":2,"score":0.4487999975681305},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.40939998626708984},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3955000042915344},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.36629998683929443},{"id":"https://openalex.org/C169900460","wikidata":"https://www.wikidata.org/wiki/Q2200417","display_name":"Cognition","level":2,"score":0.3517000079154968},{"id":"https://openalex.org/C184720557","wikidata":"https://www.wikidata.org/wiki/Q7825049","display_name":"Topology (electrical circuits)","level":2,"score":0.33970001339912415},{"id":"https://openalex.org/C58693492","wikidata":"https://www.wikidata.org/wiki/Q551875","display_name":"Neuroimaging","level":2,"score":0.32670000195503235},{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.30809998512268066},{"id":"https://openalex.org/C123138037","wikidata":"https://www.wikidata.org/wiki/Q5570871","display_name":"Global network","level":2,"score":0.3052999973297119},{"id":"https://openalex.org/C150921843","wikidata":"https://www.wikidata.org/wiki/Q1170431","display_name":"Resampling","level":2,"score":0.29100000858306885},{"id":"https://openalex.org/C136197465","wikidata":"https://www.wikidata.org/wiki/Q1729295","display_name":"Variety (cybernetics)","level":2,"score":0.27619999647140503},{"id":"https://openalex.org/C65660741","wikidata":"https://www.wikidata.org/wiki/Q3952743","display_name":"Score","level":2,"score":0.27070000767707825},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.2572999894618988},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.25040000677108765}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:share.osf.io:518fca0a-9b1c-4e62-b65d-d983c7fbc811","doi":null,"is_oa":false,"landing_page_url":"https://osf.io/ecvx7","pdf_url":null,"source":{"id":"https://openalex.org/S4306401127","display_name":"OSF Preprints (OSF Preprints)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I2799848540","host_organization_name":"Center for Open Science","host_organization_lineage":["https://openalex.org/I2799848540"],"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":"Project"},{"id":"pmh:oai:share.osf.io:E0070-785-C3F","doi":null,"is_oa":false,"landing_page_url":"http://api.osf.io/v2/nodes/ecvx7/","pdf_url":null,"source":{"id":"https://openalex.org/S4306401127","display_name":"OSF Preprints (OSF Preprints)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I2799848540","host_organization_name":"Center for Open Science","host_organization_lineage":["https://openalex.org/I2799848540"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"project"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Good health and well-being","id":"https://metadata.un.org/sdg/3","score":0.4043000042438507}],"sustainable_development_goals_aurora":[{"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9","score":0.44109320640563965}],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2969684502","https://openalex.org/W4295747378","https://openalex.org/W2126838454","https://openalex.org/W4389068201","https://openalex.org/W7100130684","https://openalex.org/W2011958931","https://openalex.org/W2274396277","https://openalex.org/W2008781224","https://openalex.org/W2942703471","https://openalex.org/W1506282276"],"abstract_inverted_index":{"Whole-brain":[0],"network":[1,37,47,70,84,124,136],"analysis":[2,99,125],"is":[3,21,63],"commonly":[4],"used":[5],"to":[6,26,40,60,66,102,130,202],"investigate":[7],"the":[8,11,56,64,110,120,128,140,190],"topology":[9],"of":[10,16,30,118,122,153],"brain":[12,36,46,69],"in":[13,49,83,93,135,150,185,198,212],"a":[14,27,73,97,116,151,213],"variety":[15],"neuroimaging":[17],"modalities.":[18],"This":[19],"approach":[20,62],"notable":[22],"for":[23],"its":[24],"applicability":[25],"large":[28],"number":[29,75],"domains,":[31],"such":[32],"as":[33,115],"understanding":[34],"how":[35],"organization":[38,48,71],"relates":[39],"cognition":[41],"and":[42,51,144,168],"behavior,":[43],"examining":[44],"disrupted":[45],"disease,":[50],"assessing":[52],"developmental":[53],"trajectories":[54],"across":[55],"lifespan.":[57],"A":[58],"benefit":[59],"this":[61],"ability":[65,129],"summarize":[67],"overall":[68,94],"with":[72,127,166],"single":[74],"(e.g.,":[76],"global":[77,123,162,187,199],"efficiency).":[78],"However,":[79],"important":[80],"local":[81,105,133],"differences":[82,92,134,184,197],"structure":[85],"might":[86],"exist":[87],"without":[88],"any":[89],"corresponding":[90],"observable":[91],"topology,":[95],"making":[96],"whole-brain":[98,186],"strategy":[100],"unlikely":[101],"detect":[103,131],"relevant":[104,132],"findings.":[106],"Here,":[107],"we":[108,156,194],"propose":[109],"network-based":[111],"statistic":[112],"(NBS)":[113],"jackknife":[114,142,207],"means":[117],"combining":[119],"utility":[121],"strategies":[126],"structure.":[137],"We":[138,173],"describe":[139],"NBS":[141,191,206],"framework,":[143],"demonstrate":[145,174],"two":[146],"specific":[147,201],"testing":[148],"scenarios":[149],"series":[152],"examples.":[154],"Finally,":[155],"provide":[157],"an":[158],"empirical":[159],"example":[160],"comparing":[161],"efficiency":[163,200],"between":[164],"children":[165],"ADHD":[167],"typically":[169],"developing":[170],"(TD)":[171],"children.":[172],"using":[175],"functional":[176],"connectivity":[177],"data":[178],"that":[179],"there":[180],"are":[181],"no":[182],"group":[183,196],"efficiency.":[188],"Using":[189],"jackknife,":[192],"however,":[193],"identify":[195],"subcortical":[203],"subnetworks.":[204],"The":[205],"framework":[208],"has":[209],"been":[210],"implemented":[211],"public,":[214],"open":[215],"source":[216],"R":[217],"package,":[218],"netjack,":[219],"available":[220],"at":[221],"https://cran.r-project.org/package=netjack.":[222]},"counts_by_year":[],"updated_date":"2026-10-14T16:39:01.820549","created_date":"2025-10-10T00:00:00"}