Use the review.

The review's charted data on the 18 included studies is now a small open-source tool. Ask the paper questions through an AI assistant, check your own reporting against the same items, or screen a study against its eligibility criteria.

Talk to the paper

The full text, the three supplementary appendices and the charted tables are published as plain files, licensed CC BY 4.0. Any assistant that can read a file can answer questions from them, whether Claude, ChatGPT, Gemini, or a model running on your own machine.

Ask the paper

Ask a question below and get an answer generated from the paper's own text, with the section it came from. Five questions a minute, thirty a day, shared across every visitor today; the daily allowance resets at midnight UTC. If it runs out, use "Give your assistant the paper" below instead.

Answers are generated by an AI model from the paper's own text and can sometimes be mistaken. The paper is the authority; check the cited section before relying on an answer.

Open access in Psychophysiology. Read the paper.

Give your assistant the paper

Paste this into any AI assistant, then ask your question. It tells the assistant to fetch the paper and appendices and answer only from them.

Prompt

Read these two files and answer questions about the paper using only what they say. If something isn't in them, say so rather than guessing. Paper: https://raw.githubusercontent.com/scottleimroth/eeg-ecg-music-review-agent/main/skill/psyp70385-eeg-ecg-music-scoping-review-paper/references/paper.md Supplementary appendices: https://raw.githubusercontent.com/scottleimroth/eeg-ecg-music-review-agent/main/skill/psyp70385-eeg-ecg-music-scoping-review-paper/references/supplement.md The paper is: Leimroth, S. R., Barry, R. J., De Blasio, F. M., & Byron, T. P. (2026). Exploring EEG and ECG in music listening: A scoping review. Psychophysiology, 63(9), e70385. https://doi.org/10.1111/psyp.70385

View the paper as text View the appendices as text Full source on GitHub

From Claude Code or Claude Desktop

Connects the same tool this page's screener and scorecard are built from, directly to your assistant, so it can query the review's charted data as well as read the paper. Look up a specific study, check what a footnote means, or search across all 18 studies at once, the same way this page's own tools do, but as part of a normal conversation.

claude mcp add psyp70385 -- uv run https://raw.githubusercontent.com/scottleimroth/eeg-ecg-music-review-agent/main/mcp/psyp70385-mcp/server.py

Chart your own reporting

Tick what your own methods section reports, across the same 39 items the 18 included studies were charted on. Anything left unticked comes back with the review's own figure for how many of those 18 studies also omitted it, so you can see whether a gap is unusual or the norm.

Screen a study

Answer for a candidate study. The result applies the review's own six eligibility rules, in its own numbering, and runs entirely in this page. Nothing is sent anywhere.

Built with the Paper2Agent method of Miao, Davis, Zhang, Pritchard and Zou (2026), Reimagining research papers as interactive and reliable AI agents, Nature.