Evidence map›Paper›PMID 42039901›Full record

ReviewFrontiers in nutrition2026

Neural mechanisms of food preference and reward processing: a review of multifaceted influencing factors and intervention strategies.

Xiaomeng Gao, Yihan Wu, Ronglian Zheng, Yining Kou, Huili Xing, Kun Li, Meng Zhang

Abstract readReview
In one paragraph

Review in Frontiers in nutrition, 2026. 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. Review
  2. Review
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.

Xiaomeng GaoFaculty of Psychology, Tianjin Normal University, Tianjin, China.
Yihan WuHenan Provincial People's Hospital, Zhengzhou, Henan, China.
Ronglian ZhengSichuan Academy of Medical Sciences - Sichuan Provincial People's Hospital, Chengdu, Sichuan, China.
Yining KouCollege of Education, Shanghai Normal University, Shanghai, China.
Huili XingJing Hengyi School of Education, Hangzhou Normal University, Hangzhou, China.
Kun LiShandong Daizhuang Hospital, Jining, Shandong, China.
Meng ZhangDepartment of Psychology, Henan Medical University, Xinxiang, Henan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Food preference and reward processing are crucial determinants of dietary behavior and energy balance, and their dysregulation is closely linked to major public health problems such as obesity and eating disorders. This narrative review synthesizes current evidence on the cognitive and neural foundations of food preference and reward processing, examines multi-level determinants ranging from individual biology to broader social context, and discusses major intervention strategies. Research in cognitive neuroscience points to a distributed network involving the midbrain dopamine system, prefrontal cortex, amygdala, insula, and hypothalamus, which together regulate food "wanting" and "liking" as well as related processes of valuation, decision-making, and inhibitory control. These mechanisms are further shaped by genetic susceptibility, physiological state, developmental stage, stress, socioeconomic conditions, social learning, and cultural context. Building on this framework, current interventions target different components of the reward-control system, including appetite and gut-brain signaling (e.g., GLP-1-based approaches), cognitive control and behavioral regulation, and post-surgical changes in hormonal and neural responses. We also highlight emerging digital and real-world intervention models, including personalized and just-in-time approaches, while noting that their evidence base remains developing. Overall, this review emphasizes the need for integrative, mechanistically informed, and personalized strategies to improve dietary health.

Indexed as

cognitive neurosciencefood preferenceinfluencing factorsintervention strategiesreward processing

Identifiers

PMID42039901
PMCPMC13106078

What Socratic 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 Socratic graph.