View in EDS HTML Full Text PDF Full Text

Managing EEG studies: How to prepare and what to do once data collection has begun.

Saved in:
Bibliographic Details
Title: Managing EEG studies: How to prepare and what to do once data collection has begun.
Authors: Boudewyn, Megan A. (AUTHOR), Erickson, Molly A. (AUTHOR), Winsler, Kurt (AUTHOR), Ragland, John Daniel (AUTHOR), Yonelinas, Andrew (AUTHOR), Frank, Michael (AUTHOR), Silverstein, Steven M. (AUTHOR), Gold, Jim (AUTHOR), MacDonald, Angus W. (AUTHOR), Carter, Cameron S. (AUTHOR), Barch, Deanna M. (AUTHOR), Luck, Steven J. (AUTHOR)
Source: Psychophysiology. Nov2023, Vol. 60 Issue 11, p1-20. 20p.
Subjects: Acquisition of data, Electroencephalography, Statistical power analysis, Communication planning, Data quality
Abstract: In this paper, we provide guidance for the organization and implementation of EEG studies. This work was inspired by our experience conducting a large‐scale, multi‐site study, but many elements could be applied to any EEG project. Section 1 focuses on study activities that take place before data collection begins. Topics covered include: establishing and training study teams, considerations for task design and piloting, setting up equipment and software, development of formal protocol documents, and planning communication strategy with all study team members. Section 2 focuses on what to do once data collection has already begun. Topics covered include: (1) how to effectively monitor and maintain EEG data quality, (2) how to ensure consistent implementation of experimental protocols, and (3) how to develop rigorous preprocessing procedures that are feasible for use in a large‐scale study. Links to resources are also provided, including sample protocols, sample equipment and software tracking forms, sample code, and tutorial videos (to access resources, please visit: https://osf.io/wdrj3/). Large‐scale EEG studies are desirable given their statistical power and generalizability; however, their preparation and implementation are a non‐trivial challenge. In this paper, we provide recommendations for efficiently collecting high‐quality data from large numbers of participants (which are applicable to smaller studies as well). In Section 1, we focus on recommendations for before data collection has begun. In Section 2, we focus on recommendations for once the study is underway. [ABSTRACT FROM AUTHOR]
Copyright of Psychophysiology is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Psychology and Behavioral Sciences Collection
Full text is not displayed to guests.
FullText Links:
  – Type: pdflink
Text:
  Availability: 1
Header DbId: pbh
DbLabel: Psychology and Behavioral Sciences Collection
An: 173014706
AccessLevel: 6
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: Managing EEG studies: How to prepare and what to do once data collection has begun.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AR" term="%22Boudewyn%2C+Megan+A%2E%22">Boudewyn, Megan A.</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Erickson%2C+Molly+A%2E%22">Erickson, Molly A.</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Winsler%2C+Kurt%22">Winsler, Kurt</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Ragland%2C+John+Daniel%22">Ragland, John Daniel</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Yonelinas%2C+Andrew%22">Yonelinas, Andrew</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Frank%2C+Michael%22">Frank, Michael</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Silverstein%2C+Steven+M%2E%22">Silverstein, Steven M.</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Gold%2C+Jim%22">Gold, Jim</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22MacDonald%2C+Angus+W%2E%22">MacDonald, Angus W.</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Carter%2C+Cameron+S%2E%22">Carter, Cameron S.</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Barch%2C+Deanna+M%2E%22">Barch, Deanna M.</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Luck%2C+Steven+J%2E%22">Luck, Steven J.</searchLink> (AUTHOR)
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="JN" term="%22Psychophysiology%22">Psychophysiology</searchLink>. Nov2023, Vol. 60 Issue 11, p1-20. 20p.
– Name: Subject
  Label: Subjects
  Group: Su
  Data: <searchLink fieldCode="DE" term="%22Acquisition+of+data%22">Acquisition of data</searchLink><br /><searchLink fieldCode="DE" term="%22Electroencephalography%22">Electroencephalography</searchLink><br /><searchLink fieldCode="DE" term="%22Statistical+power+analysis%22">Statistical power analysis</searchLink><br /><searchLink fieldCode="DE" term="%22Communication+planning%22">Communication planning</searchLink><br /><searchLink fieldCode="DE" term="%22Data+quality%22">Data quality</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: In this paper, we provide guidance for the organization and implementation of EEG studies. This work was inspired by our experience conducting a large‐scale, multi‐site study, but many elements could be applied to any EEG project. Section 1 focuses on study activities that take place before data collection begins. Topics covered include: establishing and training study teams, considerations for task design and piloting, setting up equipment and software, development of formal protocol documents, and planning communication strategy with all study team members. Section 2 focuses on what to do once data collection has already begun. Topics covered include: (1) how to effectively monitor and maintain EEG data quality, (2) how to ensure consistent implementation of experimental protocols, and (3) how to develop rigorous preprocessing procedures that are feasible for use in a large‐scale study. Links to resources are also provided, including sample protocols, sample equipment and software tracking forms, sample code, and tutorial videos (to access resources, please visit: https://osf.io/wdrj3/). Large‐scale EEG studies are desirable given their statistical power and generalizability; however, their preparation and implementation are a non‐trivial challenge. In this paper, we provide recommendations for efficiently collecting high‐quality data from large numbers of participants (which are applicable to smaller studies as well). In Section 1, we focus on recommendations for before data collection has begun. In Section 2, we focus on recommendations for once the study is underway. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of Psychophysiology is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=pbh&AN=173014706
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1111/psyp.14365
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 20
        StartPage: 1
    Subjects:
      – SubjectFull: Acquisition of data
        Type: general
      – SubjectFull: Electroencephalography
        Type: general
      – SubjectFull: Statistical power analysis
        Type: general
      – SubjectFull: Communication planning
        Type: general
      – SubjectFull: Data quality
        Type: general
    Titles:
      – TitleFull: Managing EEG studies: How to prepare and what to do once data collection has begun.
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Boudewyn, Megan A.
      – PersonEntity:
          Name:
            NameFull: Erickson, Molly A.
      – PersonEntity:
          Name:
            NameFull: Winsler, Kurt
      – PersonEntity:
          Name:
            NameFull: Ragland, John Daniel
      – PersonEntity:
          Name:
            NameFull: Yonelinas, Andrew
      – PersonEntity:
          Name:
            NameFull: Frank, Michael
      – PersonEntity:
          Name:
            NameFull: Silverstein, Steven M.
      – PersonEntity:
          Name:
            NameFull: Gold, Jim
      – PersonEntity:
          Name:
            NameFull: MacDonald, Angus W.
      – PersonEntity:
          Name:
            NameFull: Carter, Cameron S.
      – PersonEntity:
          Name:
            NameFull: Barch, Deanna M.
      – PersonEntity:
          Name:
            NameFull: Luck, Steven J.
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 01
              M: 11
              Text: Nov2023
              Type: published
              Y: 2023
          Identifiers:
            – Type: issn-print
              Value: 00485772
          Numbering:
            – Type: volume
              Value: 60
            – Type: issue
              Value: 11
          Titles:
            – TitleFull: Psychophysiology
              Type: main
ResultId 1