Evidence map›Paper›PMID 40553378›Full record

ArticleNeuroscience bulletin2026

From Brain to Shopping Cart: Neural Signals of Willingness to Buy Innovative Products.

Ziyi Li, Lulu Liu, Ying Hu, Lushuang Zhang, Xingxu Xie, Jing Luo

Abstract read
In one paragraph

Article in Neuroscience bulletin, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

6 authors.

Ziyi LiBeijing Key Laboratory of Learning and Cognition, School of Psychology, Capital Normal University, Beijing, 100048, China.
Lulu LiuBeijing Key Laboratory of Learning and Cognition, School of Psychology, Capital Normal University, Beijing, 100048, China.
Ying HuSchool of Design, Hunan University, Changsha, 410000, China.
Lushuang ZhangBeijing Key Laboratory of Learning and Cognition, School of Psychology, Capital Normal University, Beijing, 100048, China.
Xingxu XieBeijing Key Laboratory of Learning and Cognition, School of Psychology, Capital Normal University, Beijing, 100048, China.
Jing LuoBeijing Key Laboratory of Learning and Cognition, School of Psychology, Capital Normal University, Beijing, 100048, China. luoj@psych.ac.cn.ORCID http://orcid.org/0009-0002-2861-9916

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Exploring the mechanisms underlying willingness to buy (WTB) will help us identify neural indicators for predicting the performance of innovative products. Using functional magnetic resonance imaging, we asked participants to view products created by combining two components, including high applicability new combinations (HANCs), which provide a novel and practical application; and low applicability new combinations (LANCs), which provide no additional value. First, we found that WTB generally involves activation of the parahippocampal gyrus. For HANC, activation in the pars opercularis of the inferior frontal gyrus (IFG oper) is associated with WTB. Second, representational similarity analysis revealed that for HANC, the interrelation between the elements and combinations in the IFG oper predicts WTB. Third, multivoxel pattern analysis found that classification accuracy in the IFG oper predicts the difference in WTB between HANCs and LANCs. In conclusion, WTB requires default mode network-based associative processing. For HANC products, executive control network-based processes are necessary for value construction.

Indexed as

BrainConsumer BehaviorParahippocampal GyrusPrefrontal CortexAdultBrain MappingExecutive FunctionFemaleHumansMagnetic Resonance ImagingMaleYoung AdultCreativityDefault mode networkExecutive control networkNeuromarketingWillingness to buy

Identifiers

PMID40553378
PMCPMC12789320

What Socratic holds

Textmetadata
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 Socratic graph.