How we review research

How papers are selected

We consider foundational reviews, recent work, larger informative studies, and papers that address important disagreements. Citation counts help identify influential papers; they are not a quality score. We include mixed and null findings alongside favorable results.

What the labels mean

Bibliographic listing

Identifies a paper and links to it without interpreting its findings.

Abstract checked

The abstract was accessible and checked. The full methods and analysis have not been assessed.

Full-text sections checked

Selected sections of the original full text were checked. The entry names those sections. This does not mean every cited primary study or underlying dataset was independently reviewed.

Full text checked

The full paper was checked for the displayed explanation. This is a process label, not independent expert certification or a guarantee that the study is sound.

What we record

Entries identify the authors, publication, DOI, study type, topics, measured outcomes, and source-check date. Where checked, they explain the population, audio setup, comparisons, finding, and limitations. Missing details remain unknown rather than being inferred from a frequency label or headline.

For reviews, the number of included studies differs from the participant count of an experiment. We also distinguish journal issue year from online publication date.

Keeping claims within their scope

We distinguish auditory perception, measured neural activity, task performance, self-reported experience, and clinical outcomes. We do not turn an EEG finding into a promise of better focus or treat a clinical setting as interchangeable with everyday listening.

A connection to a listening purpose is a topic relationship, not evidence that a particular Studio preset reproduces the study’s intervention. Conflicting results and unresolved details are reasons to limit a summary.

Authorship, AI assistance, and corrections

AI assisted source retrieval, extraction, and drafting for the first collection. Drew Slade approved the displayed summaries and listing. Drew is the founder of Binaural Studio, not a neuroscientist or clinician. No external expert review occurred for this batch.

The source-check date describes the check reported in an entry, not a claim that the entire field was searched that day. If a link, interpretation, or detail needs correction, contact us with the paper and the issue.