IDEAS home Printed from https://ideas.repec.org/a/eee/intell/v88y2021ics0160289621000532.html
   My bibliography  Save this article

Recent developments, current challenges, and future directions in electrophysiological approaches to studying intelligence

Author

Listed:
  • Euler, Matthew J.
  • Schubert, Anna-Lena

Abstract

EEG studies represent an important sub-discipline in the field of intelligence research and have significant potential to advance the theoretical understanding and practical applications of the construct. This commentary reviews key themes and major developments in the field from the last several decades, and outlines open questions and future directions for the next phase of research. Two main areas of progress in recent years relate to (1) improvements in study design and psychometric approaches, and (2) increased integration with cognitive psychology and neuroscience. In turn, these advances have clarified several themes and pressing issues. These include: The need to establish the replicability and effect sizes of key effects, the need to explicitly attend to the distinction between trait- and task-related sources of variance in correlations between intelligence and EEG variables, the need to systematically identify and test moderators of those relationships, the need for greater use of formal modeling at the level of measurement and theory, and the need for continued integration of theoretical advances from related disciplines. We argue that an increased focus on these issues can yield rapid progress in this area over the coming years. The commentary concludes with suggestions for both immediate priorities and long-term directions in basic and applied EEG research on intelligence.

Suggested Citation

  • Euler, Matthew J. & Schubert, Anna-Lena, 2021. "Recent developments, current challenges, and future directions in electrophysiological approaches to studying intelligence," Intelligence, Elsevier, vol. 88(C).
    • Handle: RePEc:eee:intell:v:88:y:2021:i:c:s0160289621000532
    DOI: 10.1016/j.intell.2021.101569
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0160289621000532
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.intell.2021.101569?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Euler, Matthew J. & McKinney, Ty L. & Schryver, Hannah M. & Okabe, Hidefusa, 2017. "ERP correlates of the decision time-IQ relationship: The role of complexity in task- and brain-IQ effects," Intelligence, Elsevier, vol. 65(C), pages 1-10.
    2. Gągol, A. & Magnuski, M. & Kroczek, B. & Kałamała, P. & Ociepka, M. & Santarnecchi, E. & Chuderski, A., 2018. "Delta-gamma coupling as a potential neurophysiological mechanism of fluid intelligence," Intelligence, Elsevier, vol. 66(C), pages 54-63.
    3. Pahor, Anja & Jaušovec, Norbert, 2017. "Multifaceted pattern of neural efficiency in working memory capacity," Intelligence, Elsevier, vol. 65(C), pages 23-34.
    4. Rico-Picó, Josué & Hoyo, Ángela & Guerra, Sonia & Conejero, Ángela & Rueda, M. Rosario, 2021. "Behavioral and brain dynamics of executive control in relation to children's fluid intelligence," Intelligence, Elsevier, vol. 84(C).
    5. Varriale, Vincenzo & van der Molen, Maurits W. & De Pascalis, Vilfredo, 2018. "Mental rotation and fluid intelligence: A brain potential analysis," Intelligence, Elsevier, vol. 69(C), pages 146-157.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Haier, Richard J., 2021. "Are we thinking big enough about the road ahead? Overview of the special issue on the future of intelligence research," Intelligence, Elsevier, vol. 89(C).

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Hilger, Kirsten & Spinath, Frank M. & Troche, Stefan & Schubert, Anna-Lena, 2022. "The biological basis of intelligence: Benchmark findings," Intelligence, Elsevier, vol. 93(C).
    2. Bruton, Oliver J., 2021. "Is there a “g-neuron”? Establishing a systematic link between general intelligence (g) and the von Economo neuron," Intelligence, Elsevier, vol. 86(C).
    3. Renata Figueiredo Anomal & Daniel Soares Brandão & Silvia Beltrame Porto & Sóstenes Silva de Oliveira & Rafaela Faustino Lacerda de Souza & José de Santana Fiel & Bruno Duarte Gomes & Izabel Augusta H, 2020. "The role of frontal and parietal cortex in the performance of gifted and average adolescents in a mental rotation task," PLOS ONE, Public Library of Science, vol. 15(5), pages 1-21, May.
    4. Pahud, Olivier & Rammsayer, Thomas H. & Troche, Stefan J., 2018. "Putting the temporal resolution power (TRP) hypothesis to a critical test: Is the TRP-g relationship still more fundamental than an optimized relationship between speed of information processing and g," Intelligence, Elsevier, vol. 70(C), pages 52-60.
    5. E Darcy Burgund, 2021. "Task-domain and hemisphere-asymmetry effects in cisgender and transmale individuals," PLOS ONE, Public Library of Science, vol. 16(12), pages 1-19, December.
    6. Ociepka, Michał & Kałamała, Patrycja & Chuderski, Adam, 2022. "High individual alpha frequency brains run fast, but it does not make them smart," Intelligence, Elsevier, vol. 92(C).
    7. Schubert, Anna-Lena & Hagemann, Dirk & Frischkorn, Gidon T. & Herpertz, Sabine C., 2018. "Faster, but not smarter: An experimental analysis of the relationship between mental speed and mental abilities," Intelligence, Elsevier, vol. 71(C), pages 66-75.
    8. Mole, Joseph & Foley, Jennifer & Shallice, Tim & Cipolotti, Lisa, 2021. "The left frontal lobe is critical for the AH4 fluid intelligence test," Intelligence, Elsevier, vol. 87(C).
    9. Varriale, Vincenzo & De Pascalis, Vilfredo & van der Molen, Maurits W., 2021. "Post-error slowing is associated with intelligence," Intelligence, Elsevier, vol. 89(C).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:intell:v:88:y:2021:i:c:s0160289621000532. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: https://www.journals.elsevier.com/intelligence .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.