For Publishers
DiscoveryMetadataPeer reviewHostingPublishing
For Researchers
JoinPublishReviewCollect
Register
Blog
About
Search
Advanced search
My ScienceOpen
Search
For Publishers
For Researchers
Blog
About
2
views
94
references
 Top references
cited by
7
    
0 reviews
 Review
0
comments
 Comment
0
recommends
+1 Recommend
0 collections
    0
    shares
      56
      similar
       All similar
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      The development of peak alpha frequency from infancy to adolescence and its role in visual temporal processing: A meta-analysis

      review-article

      Read this article at

      ScienceOpenPublisherPMC
      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          While it has been shown that alpha frequency increases over development ( Stroganova et al., 1999), a precise trajectory has not yet been specified, making it challenging to constrain theories linking alpha rhythms to perceptual development. We conducted a comprehensive review of studies measuring resting-state occipital peak alpha frequency (PAF, the frequency exhibiting maximum power) from birth to 18 years of age. From 889 potentially relevant studies, we identified 40 reporting PAF (109 samples; 3882 subjects). A nonlinear regression revealed that PAF increases quickly in early childhood (from 6.1 Hz at 6 months to 8.4 Hz at 5 years) and levels off in adolescence (9.7 Hz at 13 years), with an asymptote at 10.1 Hz. We found no effect of resting state procedure (eyes-open versus eyes-closed) or biological sex. PAF has been implicated as a clock on visual temporal processing, with faster frequencies associated with higher visual temporal resolution. Psychophysical studies have shown that temporal resolution reaches adult levels by 5 years of age ( Freschl et al., 2019, Freschl et al., 2020). The fact that PAF reaches the adult range of 8–12 Hz by that age strengthens the link between PAF and temporal resolution.

          Highlights

          • •

            Determined the developmental trajectory of Peak Alpha Frequency (PAF).

          • •

            PAF increases from 6 Hz in early infancy and asymptotes at 10 Hz by adolescence.

          • •

            PAF increase is consistent with the age-related increase in visual temporal resolution.

          • •

            No effect of resting state EEG methodology (eyes-closed vs. eyes-open) or sex on PAF.

          Related collections

          Most cited references94

          • Record: found
          • Abstract: not found
          • Article: not found

          Preferred reporting items for systematic reviews and meta-analyses: the PRISMA statement.

          David Moher, Alessandro Liberati, Jennifer Tetzlaff … (2009)
          Article 0 comments Cited 1969 times – based on 0 reviews     Review now
            Bookmark
            • Record: found
            • Abstract: found
            • Article: not found

            The weirdest people in the world?

            Joseph Henrich, Steven Heine, Ara Norenzayan (2010)
            Behavioral scientists routinely publish broad claims about human psychology and behavior in the world's top journals based on samples drawn entirely from Western, Educated, Industrialized, Rich, and Democratic (WEIRD) societies. Researchers - often implicitly - assume that either there is little variation across human populations, or that these "standard subjects" are as representative of the species as any other population. Are these assumptions justified? Here, our review of the comparative database from across the behavioral sciences suggests both that there is substantial variability in experimental results across populations and that WEIRD subjects are particularly unusual compared with the rest of the species - frequent outliers. The domains reviewed include visual perception, fairness, cooperation, spatial reasoning, categorization and inferential induction, moral reasoning, reasoning styles, self-concepts and related motivations, and the heritability of IQ. The findings suggest that members of WEIRD societies, including young children, are among the least representative populations one could find for generalizing about humans. Many of these findings involve domains that are associated with fundamental aspects of psychology, motivation, and behavior - hence, there are no obvious a priori grounds for claiming that a particular behavioral phenomenon is universal based on sampling from a single subpopulation. Overall, these empirical patterns suggests that we need to be less cavalier in addressing questions of human nature on the basis of data drawn from this particularly thin, and rather unusual, slice of humanity. We close by proposing ways to structurally re-organize the behavioral sciences to best tackle these challenges.
            Article 0 comments Cited 1518 times – based on 0 reviews     Review now
              Bookmark
              • Record: found
              • Abstract: found
              • Article: not found

              EEG alpha and theta oscillations reflect cognitive and memory performance: a review and analysis.

              W. Klimesch (1999)
              Evidence is presented that EEG oscillations in the alpha and theta band reflect cognitive and memory performance in particular. Good performance is related to two types of EEG phenomena (i) a tonic increase in alpha but a decrease in theta power, and (ii) a large phasic (event-related) decrease in alpha but increase in theta, depending on the type of memory demands. Because alpha frequency shows large interindividual differences which are related to age and memory performance, this double dissociation between alpha vs. theta and tonic vs. phasic changes can be observed only if fixed frequency bands are abandoned. It is suggested to adjust the frequency windows of alpha and theta for each subject by using individual alpha frequency as an anchor point. Based on this procedure, a consistent interpretation of a variety of findings is made possible. As an example, in a similar way as brain volume does, upper alpha power increases (but theta power decreases) from early childhood to adulthood, whereas the opposite holds true for the late part of the lifespan. Alpha power is lowered and theta power enhanced in subjects with a variety of different neurological disorders. Furthermore, after sustained wakefulness and during the transition from waking to sleeping when the ability to respond to external stimuli ceases, upper alpha power decreases, whereas theta increases. Event-related changes indicate that the extent of upper alpha desynchronization is positively correlated with (semantic) long-term memory performance, whereas theta synchronization is positively correlated with the ability to encode new information. The reviewed findings are interpreted on the basis of brain oscillations. It is suggested that the encoding of new information is reflected by theta oscillations in hippocampo-cortical feedback loops, whereas search and retrieval processes in (semantic) long-term memory are reflected by upper alpha oscillations in thalamo-cortical feedback loops. Copyright 1999 Elsevier Science B.V.
              Article 0 comments Cited 852 times – based on 0 reviews     Review now
                Bookmark
                All references

                Author and article information

                Contributors
                Julie Freschl
                Journal
                Journal ID (nlm-ta): Dev Cogn Neurosci
                Journal ID (iso-abbrev): Dev Cogn Neurosci
                Title: Developmental Cognitive Neuroscience
                Publisher: Elsevier
                ISSN (Print): 1878-9293
                ISSN (Electronic): 1878-9307
                Publication date PMC-release: 09 August 2022
                Publication date Collection: October 2022
                Publication date (Electronic): 09 August 2022
                Volume: 57
                Electronic Location Identifier: 101146
                Affiliations
                [a ]University of Massachusetts Boston, Boston, MA, USA
                [b ]Smith-Kettlewell Eye Research Institute, San Francisco, CA, USA
                Author notes
                [* ]Correspondence to: 2318 Fillmore St., San Francisco, CA 94115, USA. jfreschl@ 123456ski.org
                Article
                Publisher Item ID: S1878-9293(22)00089-5 Publisher ID: 101146
                DOI: 10.1016/j.dcn.2022.101146
                PMC ID: 9399966
                PubMed ID: 35973361
                SO-VID: fb9c4119-d34c-437c-85e6-5ba24bb1e352
                Copyright © © 2022 The Authors
                License:

                This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).

                History
                Date received : 11 April 2022
                Date revision received : 21 July 2022
                Date accepted : 8 August 2022
                Categories
                Subject: Review

                ScienceOpen disciplines: Neurosciences
                Keywords: peak alpha frequency,alpha rhythm,visual temporal processing,development,children
                Data availability:
                ScienceOpen disciplines: Neurosciences
                Keywords: peak alpha frequency, alpha rhythm, visual temporal processing, development, children

                Comments

                Comment on this article

                scite_

                Similar content56

                See all similar

                Cited by7

                See all cited by

                Most referenced authors1,021

                See all reference authors