Title |
Genetic imaging of the association of oxytocin receptor gene (OXTR) polymorphisms with positive maternal parenting
|
---|---|
Published in |
Frontiers in Behavioral Neuroscience, January 2014
|
DOI | 10.3389/fnbeh.2014.00021 |
Pubmed ID | |
Authors |
Kalina J. Michalska, Jean Decety, Chunyu Liu, Qi Chen, Meghan E. Martz, Suma Jacob, Alison E. Hipwell, Steve S. Lee, Andrea Chronis-Tuscano, Irwin D. Waldman, Benjamin B. Lahey |
Abstract |
Background: Well-validated models of maternal behavior in small-brain mammals posit a central role of oxytocin in parenting, by reducing stress and enhancing the reward value of social interactions with offspring. In contrast, human studies are only beginning to gain insights into how oxytocin modulates maternal behavior and affiliation. Methods: To explore associations between oxytocin receptor genes and maternal parenting behavior in humans, we conducted a genetic imaging study of women selected to exhibit a wide range of observed parenting when their children were 4-6 years old. Results: In response to child stimuli during functional magnetic resonance imaging (fMRI), hemodynamic responses in brain regions that mediate affect, reward, and social behavior were significantly correlated with observed positive parenting. Furthermore, single nucleotide polymorphisms (SNPs) (rs53576 and rs1042778) in the gene encoding the oxytocin receptor were significantly associated with both positive parenting and hemodynamic responses to child stimuli in orbitofrontal cortex (OFC), anterior cingulate cortex (ACC), and hippocampus. Conclusions: These findings contribute to the emerging literature on the role of oxytocin in human social behavior and support the feasibility of tracing biological pathways from genes to neural regions to positive maternal parenting behaviors in humans using genetic imaging methods. |
X Demographics
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 1 | 25% |
Italy | 1 | 25% |
Unknown | 2 | 50% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 3 | 75% |
Practitioners (doctors, other healthcare professionals) | 1 | 25% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 3 | 2% |
Indonesia | 1 | <1% |
Switzerland | 1 | <1% |
United Kingdom | 1 | <1% |
Australia | 1 | <1% |
Unknown | 116 | 94% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 26 | 21% |
Researcher | 21 | 17% |
Student > Master | 16 | 13% |
Student > Doctoral Student | 11 | 9% |
Student > Bachelor | 9 | 7% |
Other | 29 | 24% |
Unknown | 11 | 9% |
Readers by discipline | Count | As % |
---|---|---|
Psychology | 50 | 41% |
Agricultural and Biological Sciences | 17 | 14% |
Neuroscience | 10 | 8% |
Medicine and Dentistry | 8 | 7% |
Biochemistry, Genetics and Molecular Biology | 7 | 6% |
Other | 12 | 10% |
Unknown | 19 | 15% |