Evidence map›Paper›PMID 36845430›Full record

ArticleFrontiers in neuroscience2023

Spatiotemporal profile of altered neural reactivity to food images in obesity: Reward system is altered automatically and predicts efficacy of weight loss intervention.

Vahe Poghosyan, Stephanos Ioannou, Khalid M Al-Amri, Sufana A Al-Mashhadi, Fedaa Al-Mohammed, Tahani Al-Otaibi, Wjoud Al-Saeed

Abstract read
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Article in Frontiers in neuroscience, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
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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.

Vahe PoghosyanDepartment of Neurophysiology, National Neuroscience Institute, King Fahad Medical City, Riyadh, Saudi Arabia.
Stephanos IoannouDepartment of Physiological Sciences, Alfaisal University, Riyadh, Saudi Arabia.
Khalid M Al-AmriObesity, Endocrinology and Metabolism Center, King Fahad Medical City, Riyadh, Saudi Arabia.
Sufana A Al-MashhadiResearch Unit, National Neuroscience Institute, King Fahad Medical City, Riyadh, Saudi Arabia.
Fedaa Al-MohammedDepartment of Neurophysiology, National Neuroscience Institute, King Fahad Medical City, Riyadh, Saudi Arabia.
Tahani Al-OtaibiDepartment of Neurophysiology, National Neuroscience Institute, King Fahad Medical City, Riyadh, Saudi Arabia.
Wjoud Al-SaeedResearch Unit, National Neuroscience Institute, King Fahad Medical City, Riyadh, Saudi Arabia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Obesity presents a significant public health problem. Brain plays a central role in etiology and maintenance of obesity. Prior neuroimaging studies have found that individuals with obesity exhibit altered neural responses to images of food within the brain reward system and related brain networks. However, little is known about the dynamics of these neural responses or their relationship to later weight change. In particular, it is unknown if in obesity, the altered reward response to food images emerges early and automatically, or later, in the controlled stage of processing. It also remains unclear if the pretreatment reward system reactivity to food images is predictive of subsequent weight loss intervention outcome. Methods: In this study, we presented high-calorie and low-calorie food, and nonfood images to individuals with obesity, who were then prescribed lifestyle changes, and matched normal-weight controls, and examined neural reactivity using magnetoencephalography (MEG). We performed whole-brain analysis to explore and characterize large-scale dynamics of brain systems affected in obesity, and tested two specific hypotheses: (1) in obese individuals, the altered reward system reactivity to food images occurs early and automatically, and (2) pretreatment reward system reactivity predicts the outcome of lifestyle weight loss intervention, with reduced activity associated with successful weight loss. Results: We identified a distributed set of brain regions and their precise temporal dynamics that showed altered response patterns in obesity. Specifically, we found reduced neural reactivity to food images in brain networks of reward and cognitive control, and elevated reactivity in regions of attentional control and visual processing. The hypoactivity in reward system emerged early, in the automatic stage of processing (< 150 ms post-stimulus). Reduced reward and attention responsivity, and elevated neural cognitive control were predictive of weight loss after six months in treatment. Discussion: In summary, we have identified, for the first time with high temporal resolution, the large-scale dynamics of brain reactivity to food images in obese versus normal-weight individuals, and have confirmed both our hypotheses. These findings have important implications for our understanding of neurocognition and eating behavior in obesity, and can facilitate development of novel integrated treatment strategies, including tailored cognitive-behavioral and pharmacological therapies.

Indexed as

automatic process (vs. controlled)food image processingmagnetoencephalography (MEG)neural reward reactivityobesitypreconsciouspredict weight lossreward system

Identifiers

PMID36845430
PMCPMC9944082

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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.