Evidence map›Paper›PMID 30991304›Full record

ArticleNeuroImage. Clinical2019

Efficacy of weight loss intervention can be predicted based on early alterations of fMRI food cue reactivity in the striatum.

Petra Hermann, Viktor Gál, István Kóbor, C Brock Kirwan, Péter Kovács, Tamás Kitka, Zsuzsanna Lengyel, Eszter Bálint, Balázs Varga, Csongor Csekő and 1 more

Abstract read
In one paragraph

Article in NeuroImage. Clinical, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing 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

26 citing papers in PubMed.

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  13. Dynamical alterations of brain function and gut microbiome in weight loss.Frontiers in cellular and infection microbiology · 2023
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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

11 authors.

Petra HermannBrain Imaging Centre, Research Centre for Natural Sciences, Hungarian Academy of Sciences, Budapest H-1117, Hungary. Electronic address: hermann.petra@ttk.mta.hu.
Viktor GálBrain Imaging Centre, Research Centre for Natural Sciences, Hungarian Academy of Sciences, Budapest H-1117, Hungary.
István KóborMR Research Center, Semmelweis University, Budapest H-1085, Hungary.
C Brock KirwanBrain Imaging Centre, Research Centre for Natural Sciences, Hungarian Academy of Sciences, Budapest H-1117, Hungary; Neuroscience Center, Brigham Young University, Provo, UT 84602, USA.
Péter KovácsObesity Research Group, Gedeon Richter Plc., Budapest H-1103, Hungary.
Tamás KitkaObesity Research Group, Gedeon Richter Plc., Budapest H-1103, Hungary.
Zsuzsanna LengyelObesity Research Group, Gedeon Richter Plc., Budapest H-1103, Hungary.
Eszter BálintDepartment of General Pharmacology, Gedeon Richter Plc., Budapest H-1103, Hungary.
Balázs VargaDepartment of General Pharmacology, Gedeon Richter Plc., Budapest H-1103, Hungary.
Csongor CsekőDepartment of General Pharmacology, Gedeon Richter Plc., Budapest H-1103, Hungary.
Zoltán VidnyánszkyBrain Imaging Centre, Research Centre for Natural Sciences, Hungarian Academy of Sciences, Budapest H-1117, Hungary. Electronic address: vidnyanszky.zoltan@ttk.mta.hu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Increased fMRI food cue reactivity in obesity, i.e. higher responses to high- vs. low-calorie food images, is a promising marker of the dysregulated brain reward system underlying enhanced susceptibility to obesogenic environmental cues. Recently, it has also been shown that weight loss interventions might affect fMRI food cue reactivity and that there is a close association between the alteration of cue reactivity and the outcome of the intervention. Here we tested whether fMRI food cue reactivity could be used as a marker of diet-induced early changes of neural processing in the striatum that are predictive of the outcome of the weight loss intervention. To this end we investigated the relationship between food cue reactivity in the striatum measured one month after the onset of the weight loss program and weight changes obtained at the end of the six-month intervention. We observed a significant correlation between BMI change measured after six months and early alterations of fMRI food cue reactivity in the striatum, including the bilateral putamen, right pallidum, and left caudate. Our findings provide evidence for diet-induced early alterations of fMRI food cue reactivity in the striatum that can predict the outcome of the weight loss intervention.

Indexed as

CuesWeight LossWeight Reduction ProgramsAdultAgedBody Mass IndexCorpus StriatumFemaleFoodHumansMagnetic Resonance ImagingMaleMiddle AgedObesityTreatment OutcomeYoung AdultBody mass indexFood-cue imagesObesityReward systemStriatum

Identifiers

PMID30991304
PMCPMC6463125

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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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.