Body-Brain Waves - 28th September '24 - Talk by Christian Keitel

Body-Brain Waves - 28th September '24 - Talk by Christian Keitel

by Christian Keitel

Life & Natural Systems Neuroscience PSANNeurosciencesPSAN5Cognitive and behavioural neuroscience
🎙 Christian Keitel 👥 23 📅 December 5, 2024 ⏱ 10 min 👁 38 📄 expert opinion 🧭 2026-08-18
Available in: English (current) Français

Keywords

effect sizesalpha lateralizationmeta-analysisSCONecognitive neuroscience

Summary

Christian Keitel, a researcher from Scotland, presents an update on the SCONe (Scottish Cognitive Oscillations Network) effect size project at the Body-Brain Waves conference. The project aims to systematically review the literature on alpha lateralization to estimate typical effect sizes and identify factors that modulate them. The talk outlines the methodology: a literature search yielded 4,500 papers, which were screened using AI-assisted tools (ASReview and Covidence) to narrow down to 316 full-text papers, of which about half passed inclusion criteria. Data extraction is ongoing, focusing on effect sizes and experimental variables. Keitel highlights challenges such as defining alpha lateralization and extracting consistent information from papers, and emphasizes the need for standardization. He concludes by acknowledging the team effort and inviting collaboration. The talk provides insight into the meta-analytic process but does not present results yet.

135 words

Critical Evaluation

Value of the Information & Strength of the Argument

The talk offers valuable insights into the practical challenges of conducting a meta-analysis in cognitive neuroscience, particularly regarding effect size estimation. The speaker’s argumentation is clear and grounded in the project’s methodology, though it lacks empirical results. The discussion of publication bias and the choice of a non-controversial effect (alpha lateralization) adds credibility. However, the talk is more of a progress report than a substantive scientific contribution.

Scientific Rigor, Source Quality, Title Accuracy

The talk is based on the speaker’s involvement in the SCONe project, which is a collaborative effort. No specific sources are cited beyond the project itself and tools like ASReview and Covidence. The title accurately reflects the content, as it is a talk given at the Body-Brain Waves conference. The scientific rigor is moderate, as the talk is an informal update rather than a formal presentation of findings.

150 words

Title / Content Match

The title accurately reflects the content, which is a talk given at the Body-Brain Waves conference.

Quality & Reliability

7/10

The talk is an expert opinion from a researcher involved in a meta-analysis project, providing insights into the process and challenges. It is not a peer-reviewed presentation of results, but it is grounded in the speaker's expertise and the context of a scientific network.

Key Moments

Markers derived by PSI from the transcript: the creator did not define chapters.

Cited Sources

  • SCONe website — Mentioned as a resource for more information about the network.
  • ASReview — AI-assisted screening tool used in the meta-analysis.
  • Covidence — Tool used for full-text screening.

Concurring Sources

  • SCONe website — Official network page providing context for the project.

Contribution & Novelties

The talk provides an insider’s perspective on the ongoing SCONe meta-analysis project, highlighting methodological challenges and the importance of effect size estimation in cognitive neuroscience. It underscores the need for standardized reporting and offers a roadmap for future research.

Pour aller plus loin :

77 words

Radar Profile

The radar profile shows moderate scores across all dimensions, with slightly higher quality and reliability scores reflecting the speaker's expertise. The low quantity of information and technical level indicate a brief, non-technical overview, while the moderate quality and reliability suggest a trustworthy but informal presentation.

Reliability 7/10

💬 No comments were provided for analysis.