Recommendations and publication guidelines for studies using frequency domain and time-frequency domain analyses of neural time series.

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  • Additional Information
    • Source:
      Publisher: Blackwell Country of Publication: United States NLM ID: 0142657 Publication Model: Print Cited Medium: Internet ISSN: 1540-5958 (Electronic) Linking ISSN: 00485772 NLM ISO Abbreviation: Psychophysiology Subsets: MEDLINE
    • Publication Information:
      Publication: Malden, MA : Blackwell
      Original Publication: Baltimore, Williams & Wilkins.
    • Subject Terms:
      Brain* ; Psychophysiology*; Humans ; Research Design ; Time Factors
    • Abstract:
      Since its beginnings in the early 20th century, the psychophysiological study of human brain function has included research into the spectral properties of electrical and magnetic brain signals. Now, dramatic advances in digital signal processing, biophysics, and computer science have enabled increasingly sophisticated methodology for neural time series analysis. Innovations in hardware and recording techniques have further expanded the range of tools available to researchers interested in measuring, quantifying, modeling, and altering the spectral properties of neural time series. These tools are increasingly used in the field, by a growing number of researchers who vary in their training, background, and research interests. Implementation and reporting standards also vary greatly in the published literature, causing challenges for authors, readers, reviewers, and editors alike. The present report addresses this issue by providing recommendations for the use of these methods, with a focus on foundational aspects of frequency domain and time-frequency analyses. It also provides publication guidelines, which aim to (1) foster replication and scientific rigor, (2) assist new researchers who wish to enter the field of brain oscillations, and (3) facilitate communication among authors, reviewers, and editors.
      (© 2022 Society for Psychophysiological Research.)
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    • Grant Information:
      R01MH125615 United States MH NIMH NIH HHS; F32 MH127793 United States MH NIMH NIH HHS; R01MH112558 United States MH NIMH NIH HHS; RF1AG062666 United States AG NIA NIH HHS; R01 MH112558 United States MH NIMH NIH HHS; RF1 AG062666 United States AG NIA NIH HHS; R01 MH125615 United States MH NIMH NIH HHS
    • Contributed Indexing:
      Keywords: EEG; MEG; electrophysiology; frequency domain analysis; time-frequency analysis
    • Publication Date:
      Date Created: 20220410 Date Completed: 20220412 Latest Revision: 20230128
    • Publication Date:
      20240105
    • Accession Number:
      PMC9717489
    • Accession Number:
      10.1111/psyp.14052
    • Accession Number:
      35398913