James P. Morris’s research while affiliated with University of Virginia and other places

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Publications (66)


Flowchart detailing recruitment and retention process for this study in relation to the broader Virginia Cognitive Aging project. Subjects were selected based on performance in the broader cognitive tasks that formed the primary component of the VCAP. Retention at follow‐up was unfortunately influenced by the COVID‐19 pandemic.
Flowchart demonstrating Lesionometry analysis pipeline, first described in Chamberland et al., 2020 and Winter et al., (2021). Subjects dMRI data are processed thorough the 3T‐CSD microstructure pipeline, and FODs are used to generate a whole brain tractogram. “Lesions” representing WMH are derived from T1‐weighted images taken from the “recon‐all” processing pipeline in freesurfer. Voxels traversed by tracts that also traverse WMH lesions are included for final microstructure statistical analysis.
Longitudinal mosaic of tractography results from two individual subjects included in this study ((a, c) and (b, d) are same subject at each time point). A threshold of 10 fibers per voxel was instituted in order for a voxel to be included in the lesionometric ROI to reduce the effect of stray fibers.
Illustration of subject‐specific lesionometry ROIs in the whole‐group template space from 3 example participants. Each subject in the study at each timepoint contributed a unique scan‐ and subject‐specific ROI for analysis. ROIs were generated by filtering any “lesioned” axonal tracts from the whole brain tractogram that passed through a voxel identified as being part of a WMH. This WMH‐derived tractogram was then converted to a typical binary voxel ROI with the use of a low‐pass filter to only include voxels containing 10 or more tracts to ensure consistency. The volume of the ROI once the WMH volume was corrected for was not significantly different between baseline and follow‐up (F1,36 = 0.0272, p = 0.870 n.s.).
(a) Charts showing the relationship between whole brain (top row) and WMH (bottom row) 3T‐CSD microstructure measurements (from left to right: ECI, ICI, and ICA signal fractions) and AgeAccelGrim at baseline. All three microstructural tissue compartments averaged across the whole brain did not have a significant relationship with AgeAccelGrim ECI: T6,93 = 1.797, p = 0.076 n.s.; ICI: T6,93 = 1.353, p = 0.179 n.s.; ICA: T6,93 = −0.298, p = 0.767 n.s.). But when measured exclusively within the WMH, all microstructure compartments had a significant relationship with AgeAccelGrim (ECI: T6,92 = 2.844, p < 0.01; ICI: T6,92 = 2.741, p < 0.01; ICA: T6,92 = −3.140, p < 0.01). (b) Image of an example subject with low AgeAccelGrim with voxels composing the WMH RGB color‐coded based on the respective proportion of signal fraction composition (ECI in red, ICI in green, and ICA in blue). (c) Image of an example subject with high AgeAccelGrim with voxels composing the WMH colored using the same approach. The subject with high AgeAccelGrim shows characteristically elevated levels of ECI and ICI signal fraction throughout the area identified as belonging to a WMH while in the low AgeAccelGrim subject the WMH is still largely composed of ICA signal fraction, indicating that its composition is still similar to healthy nearby WM.

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Epigenetic age acceleration predicts subject‐specific white matter degeneration in the human brain
  • Article
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November 2024

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23 Reads

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1 Citation

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Morgan E. Lynch

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James P. Morris

Epigenetic clocks provide powerful tools for estimating health and lifespan but their ability to predict brain degeneration and neuronal damage during the aging process is unknown. In this study, we use GrimAge, an epigenetic clock correlated to several blood plasma proteins, to longitudinally investigate brain cellular microstructure in axonal white matter from a cohort of healthy aging individuals. A specific focus was made on white matter hyperintensities, a visible neurological manifestation of small vessel disease, and the axonal pathways throughout each individual's brain affected by their unique white matter hyperintensity location and volume. 98 subjects over 55 years of age were scanned at baseline with 41 returning for a follow‐up scan 2 years later. Using diffusion MRI lesionometry, we reconstructed subject‐specific networks of affected axonal tracts and examined the diffusion cellular microstructure composition of these areas, both at baseline and longitudinally, for evidence of cellular degeneration. A chronological age‐adjusted version of GrimAge was significantly correlated with baseline WMH volume and markers of neuronal decline, indicated by increased extracellular free water, increased intracellular signal, and decreased axonal signal within WMH. By isolating subject‐specific axonal regions “lesioned” by crossing through a WMH, age‐adjusted GrimAge was also able to predict longitudinal development of similar patterns of neuronal decline throughout the brain. This study is the first to demonstrate WMH lesionometry as a subject‐specific precision imaging technique to study degeneration in aging and the first to establish a relationship between accelerated epigenetic GrimAge and brain cellular microstructure in humans.

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Accelerated epigenetic age is associated with whole-brain functional connectivity and impaired cognitive performance in older adults

April 2024

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51 Reads

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1 Citation

While chronological age is a strong predictor for health-related risk factors, it is an incomplete metric that fails to fully characterize the unique aging process of individuals with different genetic makeup, neurodevelopment, and environmental experiences. Recent advances in epigenomic array technologies have made it possible to generate DNA methylation-based biomarkers of biological aging, which may be useful in predicting a myriad of cognitive abilities and functional brain network organization across older individuals. It is currently unclear which cognitive domains are negatively correlated with epigenetic age above and beyond chronological age, and it is unknown if functional brain organization is an important mechanism for explaining these associations. In this study, individuals with accelerated epigenetic age (i.e. AgeAccelGrim) performed worse on tasks that spanned a wide variety of cognitive faculties including both fluid and crystallized intelligence (N = 103, average age = 68.98 years, 73 females, 30 males). Additionally, fMRI connectome-based predictive models suggested a mediating mechanism of functional connectivity on epigenetic age acceleration-cognition associations primarily in medial temporal lobe and limbic structures. This research highlights the important role of epigenetic aging processes on the development and maintenance of healthy cognitive capacities and function of the aging brain.


DNA methylation of the oxytocin receptor interacts with age to impact neural response to social stimuli

November 2023

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48 Reads

Frontiers in Aging Neuroscience

Introduction Social isolation is one of the strongest predictors of increased risk of mortality in older adulthood. The ability to form and maintain the social relationships that mitigate this risk is partially regulated by the oxytocinergic system and one’s ability to attend to and process social information. We have previously shown that an epigenetic change to the DNA of the oxytocin receptor gene ( OXTR methylation) affects the salience of social information in young adults. Little is known about how the oxytocinergic system ages and what effect this aging system has on social cognitive abilities throughout the lifespan. Methods Here we explored age-related differences in the association between neural response during selective social attention and OXTR DNA methylation in young (age 18–31) and older (age 58-81) adults. Participants underwent fMRI during a selective social attention task and provided a DNA sample for the assessment of OXTR methylation. Results and Discussion We found that older adults activated diffuse areas of visual cortex and dorsolateral prefrontal cortex during selective social attention, consistent with the dedifferentiation and compensatory neural activation commonly reported in aging. We found a significant age-by- OXTR methylation interaction on neural response when attending to social stimuli in a complex display; young adults displayed a positive association between OXTR methylation and neural activation, replicating our prior finding that young adults with presumed diminished endogenous access to oxytocin recruit regions of the attentional cortex to a greater extent. This association did not hold for older adults. Instead, perceived social support interacted with OXTR methylation to influence neural response during selective social attention. These data suggest that environmental factors like social support moderate biological processes in aging and highlight the importance of a lifespan perspective for understanding associations between individual differences in the oxytocinergic system, neural function, and social behavior.


Fig. 1. Connectome-based predictive model trained to predict d ′ from functional connectivity during selective attention to faces. (A) Prediction accuracy was measured as the Spearman correlation between observed and predicted scores (y axis). Results from 100 true iterations of 10-fold cross-validation are shown on the left and results from 1000 permutations comprising the null distribution are shown on the right (x axis). Statistical significance was calculated by comparing the median prediction accuracy of the true models (horizontal line) to the null distribution; **P < 0.01. (B) Lobewise visualization of edges in the high-and low-social attention networks. Size corresponds to the sum of edges in the high-and low-social attention networks standardized by the number of possible edges between each pair of regions. Color corresponds to the difference between edges in the high-and low-social attention networks, such that red corresponds to edges mostly in the high-social attention network and blue corresponds to edges mostly in the low-social attention network. (C) The 882 edges in the high-social attention network (predicting higher d ′ values) are visualized in red. The 833 edges in the low-social attention network (predicting lower d ′ values) are visualized in blue. Darker lines correspond to edges with higher strength (absolute value).
Fig. 2. Three latent communities estimated from autistic and socially anxious trait questionnaire data using bootstrap exploratory graph analysis. Distinct color circles reflect distinct communities. Positive edges are visualized in green and negative edges are visualized in red. Thicker lines correspond to edges with higher strength (absolute value).
Fig. 3. Connectome-based predictive model trained to predict social skills from functional connectivity within the high-social attention network. (A) Prediction accuracy was measured as the Spearman correlation between observed and predicted scores (y axis). Results from 100 true iterations of 10-fold cross-validation are shown on the left and results from 1000 permutations comprising the null distribution are shown on the right (x axis). Statistical significance was calculated by comparing the median prediction accuracy of the true models (horizontal line) to the null distribution; *P < 0.05. (B) Lobewise visualization of edges in the low-and high-social skills networks. Size corresponds to the sum of edges in the low-and high-social skills networks standardized by the number of possible edges between each pair of regions. Color corresponds to the difference between edges in the low-and high-social skills networks, such that red corresponds to edges mostly in the low-social skills network and blue corresponds to edges mostly in the high-social skills network. (C) The nine edges in the low-social skills network (predicting more autistic-like social skills scores) are visualized in red. The 15 edges in the high-social skills network (predicting less autistic-like social skills scores) are visualized in blue. Darker lines correspond to edges with higher strength (absolute value).
High-social attention network key nodes
Low-social attention network key nodes
Functional brain connectivity during social attention predicts individual differences in social skill

November 2023

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78 Reads

Social Cognitive and Affective Neuroscience

Social attention involves selectively attending to and encoding socially relevant information. We investigated the neural systems underlying the wide range of variability in both social attention ability and social experience in a neurotypical sample. Participants performed a selective social attention task, while undergoing fMRI and completed self-report measures of social functioning. Using connectome-based predictive modeling, we demonstrated that individual differences in whole-brain functional connectivity patterns during selective attention to faces predicted task performance. Individuals with more cerebellar-occipital connectivity performed better on the social attention task, suggesting more efficient social information processing. Then, we estimated latent communities of autistic and socially anxious traits using exploratory graph analysis to decompose heterogeneity in social functioning between individuals. Connectivity strength within the identified social attention network was associated with social skills, such that more temporal-parietal connectivity predicted fewer challenges with social communication and interaction. These findings demonstrate that individual differences in functional connectivity strength during a selective social attention task are related to varying levels of self-reported social skill.


Epigenetic and neural correlates of selective social attention across adulthood

July 2023

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21 Reads

Social isolation is one of the strongest predictors of increased risk of mortality in older adulthood. The ability to form and maintain the social relationships that mitigate this risk is partially regulated by the oxytocinergic system and one's ability to attend to and process social information. We have previously shown that an epigenetic change to the DNA of the oxytocin receptor gene (OXTR methylation) affects the salience of social information in young adults. Little is known about how the oxytocinergic system ages and what effect this aging system has on social cognitive abilities throughout the lifespan. Here we explore age-related differences in the association between neural response during selective social attention and OXTR DNA methylation in young and older adults. We find that older adults activate diffuse areas of visual cortex and dorsolateral prefrontal cortex during selective social attention, consistent with the dedifferentiation and compensatory neural activation commonly reported in aging. We find a significant age-by-OXTR methylation interaction on neural response when attending to social stimuli in a complex display; young adults display a positive association between OXTR methylation and neural activation, replicating our prior finding that young adults with presumed diminished endogenous access to oxytocin recruit regions of the attentional cortex to a greater extent. This association does not hold for older adults. Instead, perceived social support interacts with OXTR methylation to influence neural response during selective social attention. These data suggest that environmental factors like social support moderate biological processes in aging and highlight the importance of a lifespan perspective for understanding associations between individual differences in the oxytocinergic system, neural function, and social behavior.


Functional brain connectivity during social attention predicts individual differences in social skill

May 2023

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18 Reads

Social attention involves selectively attending to and encoding socially relevant information. We investigated the neural systems underlying the wide range of variability in both social attention ability and social experience in a neurotypical sample. Participants performed a selective social attention task while undergoing fMRI and completed self-report measures of social functioning. Using connectome-based predictive modeling, we demonstrated that individual differences in whole-brain functional connectivity patterns during selective attention to faces predicted task performance. Individuals with more cerebellar-occipital connectivity performed better on the social attention task, suggesting more efficient social information processing. Then, we estimated latent communities of autistic and socially anxious traits using exploratory graph analysis to decompose heterogeneity in social functioning between individuals. Connectivity strength within the identified social attention network was associated with social skills, such that more temporal-parietal connectivity predicted fewer challenges with social communication and interaction. These findings demonstrate that individual differences in functional connectivity strength during a selective social attention task are related to varying levels of self-reported social skill.


Adults show reduced right amygdala–mPFC functional connectivity compared to children
Children with increased methylation of OXTR display reduced right amygdala-mPFC functional connectivity. A Z statistic map of voxels shows the significant main effect of age group (Children > Adults) in MNI space. The right amygdala seed region is depicted in gray. B Mean Z statistic values are plotted for each individual in the child cohort (n = 57) and adult (n = 23) cohort. ***P < 0.001. C Z statistic map of voxels shows the significant negative main effect of OXTRm depicted in MNI space. The right amygdala seed region is depicted in gray. D Mean Z statistic values are plotted against percent OXTRm for each participant (n = 57). Gray shading indicates 95% confidence interval around the best-fit line. E Mean Z statistic values are plotted against parent-reported self-control scores for each participant (n = 50). Gray shading indicates 95% confidence interval around the best-fit line.
Individuals with increased methylation of OXTR show greater right amygdala–mPFC structural connectivity
A Visualization of total child cohort axonal connections between right amygdala (light blue) and the left frontal cortex ROI (red) while also displaying the location of the significant cluster determined from the fMRI analysis seeded in the right amygdala (yellow). Connections were visualized from the whole-brain tractograms of all subjects in the study and streamlines were colored based on the OXTRm of the associated subject, with darker blue signifying lower OXTRm and lighter green signifying higher OXTRm. B Number of streamlines are plotted against the percent OXTRm for each participant (n = 51). Gray shading indicates 95% confidence interval around the best-fit line.
Amygdala–mPFC functional connectivity and OXTRm are predictive of children’s self-reported internalizing behaviors 2 years later
For visualization purposes, plotted is the raw data for the interaction of functional connectivity and a median split of OXTRm. The full Bayesian model utilized continuous variables. Individuals with higher OXTRm (black dashed line) are more sensitive to the association between amygdala–mPFC functional connectivity and internalizing behaviors compared to individuals with low methylation (solid line).
An epigenetic mechanism for differential maturation of amygdala–prefrontal connectivity in childhood socio-emotional development

March 2023

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74 Reads

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5 Citations

Translational Psychiatry

Functional connectivity between the amygdala and the medial prefrontal cortex (mPFC) has been identified as a neural substrate of emotion regulation that undergoes changes throughout development, with a mature profile typically emerging at 10 years of age. Maternal bonding in childhood has been shown to buffer amygdala reactivity and to influence the trajectory of amygdala–mPFC coupling. The oxytocinergic system is critical in the development of social behavior and maternal bonding. Early-life parental care influences the methylation status of the oxytocin receptor (OXTRm) in animal models and humans, and higher OXTRm is associated with lower amygdala–PFC functional connectivity in adults. Using a neuroimaging-epigenetic approach, we investigated saliva-derived OXTRm as a biological marker of structural and functional connectivity maturation in 57 typically developing children (P < 0.05). We utilized seed-based connectivity analysis during a novel abstract movie paradigm and find that higher levels of OXTRm are associated with a more adult-like functional connectivity profile. Concurrently, more adult-like functional connectivity was associated with higher reported self-control and more diffusion streamlines between the amygdala and mPFC. OXTRm mediates the association between structural and functional connectivity with higher levels of OXTRm being associated with more streamlines. Lastly, we also find that lower OXTRm blunts the association between amygdala–mPFC connectivity and future internalizing behaviors in early adolescence. These findings implicate OXTRm as a biological marker at the interface of the social environment and amygdala–mPFC connectivity in emotional and behavioral regulation. Ultimately, identification of neurobiological markers may lead to earlier detection of children at risk for socio-emotional dysfunction.


Epigenetic age acceleration predicts subject-specific white matter degeneration in the human brain

November 2022

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39 Reads

Epigenetic clocks provide powerful tools for estimating health and lifespan but their ability to predict brain degeneration and neuronal damage during the aging process is unknown. In this study, we use GrimAge, an epigenetic clock correlated to several blood plasma proteins, to longitudinally investigate brain cellular microstructure in axonal white matter from a cohort of healthy aging individuals. Given the blood plasma correlations used to develop GrimAge, a specific focus was made on white matter hyperintensities, a visible neurological manifestation of small vessel disease, and the axonal pathways throughout each individual’s brain affected by their unique white matter hyperintensity location and volume. 98 subjects over 55 years of age were scanned at baseline with 41 returning for a follow-up scan 2 years later. Using diffusion MRI lesionometry, we reconstructed subject-specific networks of affected axonal tracts and examined the diffusion cellular microstructure composition of these areas, both at baseline and longitudinally, for evidence of cellular degeneration. A chronological age-adjusted version of GrimAge was significantly correlated with baseline WMH volume and markers of neuronal decline, indicated by increased extracellular free water, increased intracellular signal, and decreased axonal signal within WMH. By isolating subject-specific axonal regions ‘lesioned’ by crossing through a WMH, age-adjusted GrimAge was also able to predict longitudinal development of similar patterns of neuronal decline throughout the brain. This study is the first to establish a relationship between accelerated epigenetic GrimAge and brain cellular microstructure in humans.


Figure 2.
Figure 3.
Figures and Tables Figure 1.
Leave-one-out model comparison results suggest the full model including amygdala-mPFC functional connectivity and OXTRm fits best.
An epigenetic mechanism for differential maturation of amygdala-prefrontal connectivity in childhood socio-emotional development

September 2022

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79 Reads

Functional connectivity between the amygdala and the medial prefrontal cortex (mPFC) has been identified as a neural substrate of emotion regulation that undergoes changes throughout development. Amygdala-mPFC connectivity has been well studied in adolescents and adults, with a mature profile typically emerging at 10 years of age. Maternal bonding in childhood has been shown to buffer amygdala reactivity and to influence the trajectory of amygdala-mPFC coupling, which in turn may impact socio-emotional dysfunction later in life. The oxytocinergic system is critical in the development of social behavior and maternal bonding. Early life parental care influences the methylation status of the oxytocin receptor (OXTRm) in animal models and humans, and higher OXTRm is associated with lower amygdala-PFC functional connectivity in adults. Using a neuroimaging-epigenetic approach, we investigated OXTRm as a biological marker of functional connectivity maturation in middle childhood. We find that higher levels of OXTRm are associated with a more adult-like functional connectivity profile. We also find that lower OXTRm blunts the association between amygdala-mPFC connectivity and future internalizing behaviors in early adolescence. These findings implicate OXTRm as a biological marker at the interface of the social environment and amygdala-mPFC coupling in emotional and behavioral regulation. Ultimately, identification of neurobiological markers may lead to earlier detection of children at risk for socio-emotional dysfunction.


Fig. 1. Response intensity of brain regions demonstrating significantly greater activity in the Animate > Control condition.
Fig. 2. Individuals with increased methylation of OXTR display elevated TPJ response to animate > control conditions. Mean Z statistic values are plotted against percent OXTRm for each participant (n = 67). Gray shading indicates 95% confidence interval.
Fig. 3. Partial correlations between the six variables of interest. The correlation coefficients are represented by size of the circle and color-coded according to the color bar on the right. *p < 0.05, **p < 0.01, ***p < 0.001.
Main effect of Animate > Control local maxima statistics.
Neuroepigenetic impact on mentalizing in childhood

February 2022

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153 Reads

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9 Citations

Developmental Cognitive Neuroscience

Mentalizing, or the ability to understand the mental states and intentions of others, is an essential social cognitive function that children learn and continue to cultivate into adolescence. While most typically developing children acquire sufficient mentalizing skills, individual differences in mentalizing persist throughout childhood and are likely influenced by a combination of cognitive functioning, the social environment, and biological factors. DNA methylation of the oxytocin receptor gene (OXTRm) impacts gene expression and is associated with increased brain activity in mentalizing regions during displays of animacy in healthy young adults. The establishment, fine-tuning, and implications of such associations in the context of broader social functioning remain unclear. Using a developmental neuroimaging epigenetic approach, we investigated the contributions of OXTRm to individual variability in brain function during animate motion perception in middle childhood. We find that higher levels of OXTRm are associated with increased neural responses in the left temporo-parietal junction and inferior frontal gyrus. We also find a positive association between neural activity in LTPJ and social skills. The findings provide evidence of epigenetic influence on the developing child brain and demonstrate that variability in neural social perception in childhood is multifaceted with contributions from individual social experience and the endogenous oxytocin system.


Citations (47)


... It should also be noted that extensive work has shown that extracellular water increases in the axonal WM skeleton with age and cerebrovascular injury [68,[107][108][109], but that none of the axonal ROIs tested was significant for ECI signal fraction differences, suggesting that there Fig 7, including standard error. ECI signal fraction increased in the composite cortical ROI, aggregate g-ratio decreased in the composite WM ROI, and aggregate conduction velocity increased in the composite WM ROI. ...

Reference:

Conduction velocity, G-ratio, and extracellular water as microstructural characteristics of autism spectrum disorder
Epigenetic age acceleration predicts subject‐specific white matter degeneration in the human brain

... These algorithms aim to capture phenotypic aging processes beyond chronological age, such as morbidity and mortality risk. Accelerated PhenoAge and GrimAge are consistently associated with lower cognitive performance in middle and older adulthood 11,12,17,18 . However, ndings on cognitive decline are mixed. ...

Accelerated epigenetic age is associated with whole-brain functional connectivity and impaired cognitive performance in older adults

... But, by the 1980s, interdisciplinary neuroscience had begun what we now refer to as the global neuroscientific turn, or simply the neuro-turn, a neurobiological engagement with research and theoretical issues in the traditional purview of the social sciences and humanities [64,[81][82][83]. This movement led to several new sub-fields in neuroscience resulting in new journals such as Culture and Brain, Social Cognitive and Affective Neuroscience, and Social Neuroscience, as well as numerous related books and articles (e.g., [84][85][86][87]). ...

The Oxford Handbook of Cultural Neuroscience

... 20 Similarly, Puglia et al. found a significant association between increased levels of site -934 OXTRm and increased neural activity during the perception of anger and fear in areas required for the processing of human faces and emotional regulation in adults. 50 Finally, a significant association has been demonstrated between increased OXTRm and increased neural activity during the perception of animate motion at sites -924 in children 51 and -934 in adults. 52 These findings further support the hypothesis that OXTRm is involved in promoting attention to social information to influence normative social-emotional processing throughout the lifespan. ...

Neuroepigenetic impact on mentalizing in childhood

Developmental Cognitive Neuroscience

... 8 In other words, in order for OXT to bind to its receptor, the OXTR must be expressed, whereas higher methylation rates can lead to a reduced expression. [27][28][29] OXTR expression was found to be upregulated (i.e. increased expression rates) in A-allele carriers, as well as survivors of childhood abuse, indicating a genetic but also psychosocial involvement in the regulation of OXTR. ...

An epigenetic rheostat of experience: DNA methylation of OXTR as a mechanism of early life allostasis

Comprehensive Psychoneuroendocrinology

... Additionally, methylation levels at these sites are highly variable across individuals (Fig. 3b), highlighting their promise to serve as markers of individual differences in (endo)phenotypes. Finally, OXTRm at these sites is correlated across cell 20 and tissue 19,[21][22][23][24] types, and critically, methylation levels in both cortical and peripheral tissues respond to early-life environmental manipulations in a similar manner. 16,19,24 Thus, OXTRm can be assayed noninvasively from easily accessible tissues such as saliva to be informative of methylation levels in the brain that are plastic and are promising targets of therapeutic interventions. ...

Epigenetic tuning of brain signal entropy in emergent human social behavior

BMC Medicine

... To influence someone, one must first have a sense of that individual's current and future thoughts, feelings and objectives. We hypothesized that impairments in ToM and social prediction may make it more difficult for individuals with ASD to exert social influence [29][30][31][32][33] . ...

Prediction of social behavior in autism spectrum disorders: Explicit versus implicit social cognition
  • Citing Article
  • June 2020

... However, when emotions were displayed on toys, an increase in oxygen concentration was observed only for anger. These findings align with studies by [31], [32] and [33], which also report strong activation in bilateral temporal and frontal regions in response to happy faces during this stage of development. These investigations suggest that infants, even when exposed to different facial identities, tend to show broader neural responses to positive emotions, such as happy [31][32][33]. ...

Epigenetic modification of the oxytocin receptor gene is associated with emotion processing in the infant brain

Developmental Cognitive Neuroscience

... Although the exact pathophysiology of this disorder has yet to be determined, there are several recognised factors that may contribute to it, such as childhood trauma and stressful life events . Another study showed that increased OXTR methylation is associated with reduced activity of the parasympathetic nervous system during rest, which can decrease the body's ability to relax and recover, thus increasing feelings of anxiety (Lancaster et al. 2018). This was coupled with OXTR methylation increasing grey matter density in the amygdala, which reinforced the negative impact on the stress response and parasympathetic regulation. ...

DNA methylation of OXTR is associated with parasympathetic nervous system activity and amygdala morphology

Social Cognitive and Affective Neuroscience

... Additionally, methylation levels at these sites are highly variable across individuals (Fig. 3b), highlighting their promise to serve as markers of individual differences in (endo)phenotypes. Finally, OXTRm at these sites is correlated across cell 20 and tissue 19,[21][22][23][24] types, and critically, methylation levels in both cortical and peripheral tissues respond to early-life environmental manipulations in a similar manner. 16,19,24 Thus, OXTRm can be assayed noninvasively from easily accessible tissues such as saliva to be informative of methylation levels in the brain that are plastic and are promising targets of therapeutic interventions. ...

Epigenetic regulation of the oxytocin receptor is associated with neural response during selective social attention

Translational Psychiatry