Evidence map›Paper›PMID 38837089›Full record

ReviewBrain informatics2024

A systematic review on EEG-based neuromarketing: recent trends and analyzing techniques.

Md Fazlul Karim Khondakar, Md Hasib Sarowar, Mehdi Hasan Chowdhury, Sumit Majumder, Md Azad Hossain, M Ali Akber Dewan, Quazi Delwar Hossain

Abstract readReview
In one paragraph

Review in Brain informatics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
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  5. The analgesic effect and neural mechanism of spicy food intake.Social cognitive and affective neuroscience · 2025
    Article
  6. Article
  7. Article
  8. 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

7 authors.

Md Fazlul Karim KhondakarDepartment of Biomedical Engineering, Chittagong University of Engineering & Technology, Chittagong, Bangladesh.ORCID http://orcid.org/0000-0003-4710-749X
Md Hasib SarowarDepartment of Biomedical Engineering, Chittagong University of Engineering & Technology, Chittagong, Bangladesh.ORCID http://orcid.org/0000-0001-6748-8600
Mehdi Hasan ChowdhuryDepartment of Electrical & Electronic Engineering, Chittagong University of Engineering & Technology, Chittagong, Bangladesh. mhchowdhury@cuet.ac.bd.ORCID http://orcid.org/0000-0002-7645-8443
Sumit MajumderDepartment of Biomedical Engineering, Chittagong University of Engineering & Technology, Chittagong, Bangladesh.ORCID http://orcid.org/0000-0003-0517-6008
Md Azad HossainDepartment of Electronics & Telecommunication Engineering, Chittagong University of Engineering & Technology, Chittagong, Bangladesh.ORCID http://orcid.org/0000-0002-8251-5168
M Ali Akber DewanSchool of Computing and Information Systems, Faculty of Science and Technology, Athabasca University, Athabasca, AB, T9S 3A3, Canada.ORCID http://orcid.org/0000-0001-6347-7509
Quazi Delwar HossainDepartment of Electrical & Electronic Engineering, Chittagong University of Engineering & Technology, Chittagong, Bangladesh.ORCID http://orcid.org/0000-0001-5059-3658

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Neuromarketing is an emerging research field that aims to understand consumers' decision-making processes when choosing which product to buy. This information is highly sought after by businesses looking to improve their marketing strategies by understanding what leaves a positive or negative impression on consumers. It has the potential to revolutionize the marketing industry by enabling companies to offer engaging experiences, create more effective advertisements, avoid the wrong marketing strategies, and ultimately save millions of dollars for businesses. Therefore, good documentation is necessary to capture the current research situation in this vital sector. In this article, we present a systematic review of EEG-based Neuromarketing. We aim to shed light on the research trends, technical scopes, and potential opportunities in this field. We reviewed recent publications from valid databases and divided the popular research topics in Neuromarketing into five clusters to present the current research trend in this field. We also discuss the brain regions that are activated when making purchase decisions and their relevance to Neuromarketing applications. The article provides appropriate illustrations of marketing stimuli that can elicit authentic impressions from consumers' minds, the techniques used to process and analyze recorded brain data, and the current strategies employed to interpret the data. Finally, we offer recommendations to upcoming researchers to help them investigate the possibilities in this area more efficiently in the future.

Indexed as

Brain-computer interface (BCI)ClassificationElectroencephalography (EEG)FeatureMachine learningNeuromarketingPre-processingResearch trend

Identifiers

PMID38837089
PMCPMC11153447

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.