Evidence map›Paper›PMID 26924971›Full record

ArticleFrontiers in human neuroscience2016

Resting-State Brain and the FTO Obesity Risk Allele: Default Mode, Sensorimotor, and Salience Network Connectivity Underlying Different Somatosensory Integration and Reward Processing between Genotypes.

Gaia Olivo, Lyle Wiemerslage, Emil K Nilsson, Linda Solstrand Dahlberg, Anna L Larsen, Marcela Olaya Búcaro, Veronica P Gustafsson, Olga E Titova, Marcus Bandstein, Elna-Marie Larsson and 3 more

Abstract read
In one paragraph

Article in Frontiers in human neuroscience, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed, 1 pooled it
–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

24 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Trial
  3. Trial
  4. Review
  5. Review
  6. Article
  7. The Importance of Low-frequency Alpha (8-10 Hz) Waves and Default Mode Network in Behavioral Inhibition.Clinical psychopharmacology and neuroscience : the official scientific journal of the Korean College of Neuropsychopharmacology · 2024
    Article
  8. Fetal programming of human energy homeostasis brain networks: Issues and considerations.Obesity reviews : an official journal of the International Association for the Study of Obesity · 2022
    Review
  9. Article
  10. Article
  11. Article
  12. Brain-gut-microbiome interactions in obesity and food addiction.Nature reviews. Gastroenterology & hepatology · 2020
    Review
  13. Article
  14. Article
  15. Article
  16. Article
  17. The role of mRNA mCell & bioscience · 2019
    Review
  18. Article
  19. Article
  20. 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

13 authors.

Gaia OlivoFunctional Pharmacology, Department of Neuroscience, Uppsala University Uppsala, Sweden.
Lyle WiemerslageFunctional Pharmacology, Department of Neuroscience, Uppsala University Uppsala, Sweden.
Emil K NilssonFunctional Pharmacology, Department of Neuroscience, Uppsala University Uppsala, Sweden.
Linda Solstrand DahlbergFunctional Pharmacology, Department of Neuroscience, Uppsala University Uppsala, Sweden.
Anna L LarsenFunctional Pharmacology, Department of Neuroscience, Uppsala University Uppsala, Sweden.
Marcela Olaya BúcaroFunctional Pharmacology, Department of Neuroscience, Uppsala University Uppsala, Sweden.
Veronica P GustafssonFunctional Pharmacology, Department of Neuroscience, Uppsala University Uppsala, Sweden.
Olga E TitovaFunctional Pharmacology, Department of Neuroscience, Uppsala University Uppsala, Sweden.
Marcus BandsteinFunctional Pharmacology, Department of Neuroscience, Uppsala University Uppsala, Sweden.
Elna-Marie LarssonSection of Neuroradiology, Department of Radiology, Uppsala University Uppsala, Sweden.
Christian BenedictFunctional Pharmacology, Department of Neuroscience, Uppsala University Uppsala, Sweden.
Samantha J BrooksDepartment of Psychiatry, University of Cape Town Cape Town, South Africa.
Helgi B SchiöthFunctional Pharmacology, Department of Neuroscience, Uppsala University Uppsala, Sweden.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Single-nucleotide polymorphisms (SNPs) of the fat mass and obesity associated (FTO) gene are linked to obesity, but how these SNPs influence resting-state neural activation is unknown. Few brain-imaging studies have investigated the influence of obesity-related SNPs on neural activity, and no study has investigated resting-state connectivity patterns. We tested connectivity within three, main resting-state networks: default mode (DMN), sensorimotor (SMN), and salience network (SN) in 30 male participants, grouped based on genotype for the rs9939609 FTO SNP, as well as punishment and reward sensitivity measured by the Behavioral Inhibition (BIS) and Behavioral Activation System (BAS) questionnaires. Because obesity is associated with anomalies in both systems, we calculated a BIS/BAS ratio (BBr) accounting for features of both scores. A prominence of BIS over BAS (higher BBr) resulted in increased connectivity in frontal and paralimbic regions. These alterations were more evident in the obesity-associated AA genotype, where a high BBr was also associated with increased SN connectivity in dopaminergic circuitries, and in a subnetwork involved in somatosensory integration regarding food. Participants with AA genotype and high BBr, compared to corresponding participants in the TT genotype, also showed greater DMN connectivity in regions involved in the processing of food cues, and in the SMN for regions involved in visceral perception and reward-based learning. These findings suggest that neural connectivity patterns influence the sensitivity toward punishment and reward more closely in the AA carriers, predisposing them to developing obesity. Our work explains a complex interaction between genetics, neural patterns, and behavioral measures in determining the risk for obesity and may help develop individually-tailored strategies for obesity prevention.

Indexed as

default mode networkFTOMRIobesityresting-statesalience networksensorimotor networkSNP

Identifiers

PMID26924971
PMCPMC4756146

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.