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.

Frontiers in Human Neuroscience

卷:10

Samantha J Brooks¹  Emil K Nilsson²  Marcus eBandstein²  Elna-Marie eLarsson²  Olga E Titova²  Anna L Larsen²  Helgi B Schiöth²  Lyle eWiemerslage²  Christian eBenedict²  Linda eSolstrand Dahlberg²  Veronica P Gustafsson²  Gaia eOlivo²  Marcela eOlaya Búcaro² 

[1] University of Cape Town;

[2] Uppsala University;

关键词: Obesity;    MRI;    SNP;    Default Mode Network;    resting state;    food preference;   

DOI  :  10.3389/fnhum.2016.00052

来源: DOAJ

【 摘 要 】

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 thirty 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.

【 授权许可】

Unknown