Evidence map›Paper›PMID 39551888›Full record

ReviewVisual computing for industry, biomedicine, and art2024

Survey of real-time brainmedia in artistic exploration.

Rem RunGu Lin, Kang Zhang

Abstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Visual computing for industry, biomedicine, and art, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Full-Stack Architectures for Intelligent Brain-Computer Interfaces.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Review
  2. Body Cosmos 2.0: embodied biofeedback interface for dancing.Visual computing for industry, biomedicine, and art · 2025
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Rem RunGu LinComputational Media and Art, Hong Kong University of Science and Technology (Guangzhou), Guangzhou 510000, Guangdong, China.
Kang ZhangComputational Media and Art, Hong Kong University of Science and Technology (Guangzhou), Guangzhou 510000, Guangdong, China. kzhangcma@hkust-gz.edu.cn.ORCID http://orcid.org/0000-0003-3802-7535

Funding

Grant #2021JC02G114. 2021JC02G114
6 · The paper itself

Abstract

This survey examines the evolution and impact of real-time brainmedia on artistic exploration, contextualizing developments within a historical framework. To enhance knowledge on the entanglement between the brain, mind, and body in an increasingly mediated world, this work defines a clear scope at the intersection of bio art and interactive art, concentrating on real-time brainmedia artworks developed in the 21st century. It proposes a set of criteria and a taxonomy based on historical notions, interaction dynamics, and media art representations. The goal is to provide a comprehensive overview of real-time brainmedia, setting the stage for future explorations of new paradigms in communication between humans, machines, and the environment.

Indexed as

Artistic brain-computer interfaceBrain artBrainmedia, interactive artElectroencephalographyNeurofeedback

Identifiers

PMID39551888
PMCPMC11570570

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.