Academic Journal
View in EDS

Test-retest reliability of the human functional connectome over consecutive days: identifying highly reliable portions and assessing the impact of methodological choices

Bibliographic Details
Title: Test-retest reliability of the human functional connectome over consecutive days: identifying highly reliable portions and assessing the impact of methodological choices
Authors: Leonardo Tozzi, Scott L. Fleming, Zachary D. Taylor, Cooper D. Raterink, Leanne M. Williams
Source: Network Neuroscience, Vol 4, Iss 3, Pp 925-945 (2020)
Publisher Information: The MIT Press, 2020.
Publication Year: 2020
Collection: LCC:Neurosciences. Biological psychiatry. Neuropsychiatry
Subject Terms: Neurosciences. Biological psychiatry. Neuropsychiatry, RC321-571
More Details: AbstractCountless studies have advanced our understanding of the human brain and its organization by using functional magnetic resonance imaging (fMRI) to derive network representations of human brain function. However, we do not know to what extent these “functional connectomes” are reliable over time. In a large public sample of healthy participants (N = 833) scanned on two consecutive days, we assessed the test-retest reliability of fMRI functional connectivity and the consequences on reliability of three common sources of variation in analysis workflows: atlas choice, global signal regression, and thresholding. By adopting the intraclass correlation coefficient as a metric, we demonstrate that only a small portion of the functional connectome is characterized by good (6–8%) to excellent (0.08–0.14%) reliability. Connectivity between prefrontal, parietal, and temporal areas is especially reliable, but also average connectivity within known networks has good reliability. In general, while unreliable edges are weak, reliable edges are not necessarily strong. Methodologically, reliability of edges varies between atlases, global signal regression decreases reliability for networks and most edges (but increases it for some), and thresholding based on connection strength reduces reliability. Focusing on the reliable portion of the connectome could help quantify brain trait-like features and investigate individual differences using functional neuroimaging.
Document Type: article
File Description: electronic resource
Language: English
ISSN: 2472-1751
Relation: https://direct.mit.edu/netn/article/4/3/925/95843/Test-retest-reliability-of-the-human-functional; https://doaj.org/toc/2472-1751
DOI: 10.1162/netn_a_00148
Access URL: https://doaj.org/article/f20df2bdfc254921895b27f5097d494f
Accession Number: edsdoj.f20df2bdfc254921895b27f5097d494f
Database: Directory of Open Access Journals
FullText Text:
  Availability: 0
CustomLinks:
  – Url: https://resolver.ebsco.com/c/xy5jbn/result?sid=EBSCO:edsdoj&genre=article&issn=24721751&ISBN=&volume=4&issue=3&date=20200901&spage=925&pages=925-945&title=Network Neuroscience&atitle=Test-retest%20reliability%20of%20the%20human%20functional%20connectome%20over%20consecutive%20days%3A%20identifying%20highly%20reliable%20portions%20and%20assessing%20the%20impact%20of%20methodological%20choices&aulast=Leonardo%20Tozzi&id=DOI:10.1162/netn_a_00148
    Name: Full Text Finder (for New FTF UI) (s8985755)
    Category: fullText
    Text: Find It @ SCU Libraries
    MouseOverText: Find It @ SCU Libraries
  – Url: https://doaj.org/article/f20df2bdfc254921895b27f5097d494f
    Name: EDS - DOAJ (s8985755)
    Category: fullText
    Text: View record from DOAJ
    MouseOverText: View record from DOAJ
Header DbId: edsdoj
DbLabel: Directory of Open Access Journals
An: edsdoj.f20df2bdfc254921895b27f5097d494f
RelevancyScore: 943
AccessLevel: 3
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 942.722778320313
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: Test-retest reliability of the human functional connectome over consecutive days: identifying highly reliable portions and assessing the impact of methodological choices
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AR" term="%22Leonardo+Tozzi%22">Leonardo Tozzi</searchLink><br /><searchLink fieldCode="AR" term="%22Scott+L%2E+Fleming%22">Scott L. Fleming</searchLink><br /><searchLink fieldCode="AR" term="%22Zachary+D%2E+Taylor%22">Zachary D. Taylor</searchLink><br /><searchLink fieldCode="AR" term="%22Cooper+D%2E+Raterink%22">Cooper D. Raterink</searchLink><br /><searchLink fieldCode="AR" term="%22Leanne+M%2E+Williams%22">Leanne M. Williams</searchLink>
– Name: TitleSource
  Label: Source
  Group: Src
  Data: Network Neuroscience, Vol 4, Iss 3, Pp 925-945 (2020)
– Name: Publisher
  Label: Publisher Information
  Group: PubInfo
  Data: The MIT Press, 2020.
– Name: DatePubCY
  Label: Publication Year
  Group: Date
  Data: 2020
– Name: Subset
  Label: Collection
  Group: HoldingsInfo
  Data: LCC:Neurosciences. Biological psychiatry. Neuropsychiatry
– Name: Subject
  Label: Subject Terms
  Group: Su
  Data: <searchLink fieldCode="DE" term="%22Neurosciences%2E+Biological+psychiatry%2E+Neuropsychiatry%22">Neurosciences. Biological psychiatry. Neuropsychiatry</searchLink><br /><searchLink fieldCode="DE" term="%22RC321-571%22">RC321-571</searchLink>
– Name: Abstract
  Label: Description
  Group: Ab
  Data: AbstractCountless studies have advanced our understanding of the human brain and its organization by using functional magnetic resonance imaging (fMRI) to derive network representations of human brain function. However, we do not know to what extent these “functional connectomes” are reliable over time. In a large public sample of healthy participants (N = 833) scanned on two consecutive days, we assessed the test-retest reliability of fMRI functional connectivity and the consequences on reliability of three common sources of variation in analysis workflows: atlas choice, global signal regression, and thresholding. By adopting the intraclass correlation coefficient as a metric, we demonstrate that only a small portion of the functional connectome is characterized by good (6–8%) to excellent (0.08–0.14%) reliability. Connectivity between prefrontal, parietal, and temporal areas is especially reliable, but also average connectivity within known networks has good reliability. In general, while unreliable edges are weak, reliable edges are not necessarily strong. Methodologically, reliability of edges varies between atlases, global signal regression decreases reliability for networks and most edges (but increases it for some), and thresholding based on connection strength reduces reliability. Focusing on the reliable portion of the connectome could help quantify brain trait-like features and investigate individual differences using functional neuroimaging.
– Name: TypeDocument
  Label: Document Type
  Group: TypDoc
  Data: article
– Name: Format
  Label: File Description
  Group: SrcInfo
  Data: electronic resource
– Name: Language
  Label: Language
  Group: Lang
  Data: English
– Name: ISSN
  Label: ISSN
  Group: ISSN
  Data: 2472-1751
– Name: NoteTitleSource
  Label: Relation
  Group: SrcInfo
  Data: https://direct.mit.edu/netn/article/4/3/925/95843/Test-retest-reliability-of-the-human-functional; https://doaj.org/toc/2472-1751
– Name: DOI
  Label: DOI
  Group: ID
  Data: 10.1162/netn_a_00148
– Name: URL
  Label: Access URL
  Group: URL
  Data: <link linkTarget="URL" linkTerm="https://doaj.org/article/f20df2bdfc254921895b27f5097d494f" linkWindow="_blank">https://doaj.org/article/f20df2bdfc254921895b27f5097d494f</link>
– Name: AN
  Label: Accession Number
  Group: ID
  Data: edsdoj.f20df2bdfc254921895b27f5097d494f
PLink https://login.libproxy.scu.edu/login?url=https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&scope=site&db=edsdoj&AN=edsdoj.f20df2bdfc254921895b27f5097d494f
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1162/netn_a_00148
    Languages:
      – Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 21
        StartPage: 925
    Subjects:
      – SubjectFull: Neurosciences. Biological psychiatry. Neuropsychiatry
        Type: general
      – SubjectFull: RC321-571
        Type: general
    Titles:
      – TitleFull: Test-retest reliability of the human functional connectome over consecutive days: identifying highly reliable portions and assessing the impact of methodological choices
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Leonardo Tozzi
      – PersonEntity:
          Name:
            NameFull: Scott L. Fleming
      – PersonEntity:
          Name:
            NameFull: Zachary D. Taylor
      – PersonEntity:
          Name:
            NameFull: Cooper D. Raterink
      – PersonEntity:
          Name:
            NameFull: Leanne M. Williams
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 01
              M: 09
              Type: published
              Y: 2020
          Identifiers:
            – Type: issn-print
              Value: 24721751
          Numbering:
            – Type: volume
              Value: 4
            – Type: issue
              Value: 3
          Titles:
            – TitleFull: Network Neuroscience
              Type: main
ResultId 1