scholarly journals Volume of the right supramarginal gyrus is associated with a maintenance of emotion recognition ability

PLoS ONE ◽  
2021 ◽  
Vol 16 (7) ◽  
pp. e0254623
Author(s):  
Sayaka Wada ◽  
Motoyasu Honma ◽  
Yuri Masaoka ◽  
Masaki Yoshida ◽  
Nobuyoshi Koiwa ◽  
...  
Keyword(s):  
Emotion Recognition ◽  
Inferior Frontal Gyrus ◽  
Gray Matter Volume ◽  
Brain Regions ◽  
Recognition Score ◽  
Supramarginal Gyrus ◽  
Recognition Ability ◽  
Orbital Gyrus ◽  
Emotion Recognition Ability ◽  
The Right

Emotion recognition is known to change with age, but associations between the change and brain atrophy are not well understood. In the current study atrophied brain regions associated with emotion recognition were investigated in elderly and younger participants. Group comparison showed no difference in emotion recognition score, while the score was associated with years of education, not age. We measured the gray matter volume of 18 regions of interest including the bilateral precuneus, supramarginal gyrus, orbital gyrus, straight gyrus, superior temporal sulcus, inferior frontal gyrus, insular cortex, amygdala, and hippocampus, which have been associated with social function and emotion recognition. Brain reductions were observed in elderly group except left inferior frontal gyrus, left straight gyrus, right orbital gyrus, right inferior frontal gyrus, and right supramarginal gyrus. Path analysis was performed using the following variables: age, years of education, emotion recognition score, and the 5 regions that were not different between the groups. The analysis revealed that years of education were associated with volumes of the right orbital gyrus, right inferior frontal gyrus, and right supramarginal gyrus. Furthermore, the right supramarginal gyrus volume was associated with the emotion recognition score. These results suggest that the amount of education received contributes to maintain the right supramarginal gyrus volume, and indirectly affects emotion recognition ability.

scholarly journals Attachment Representation and Emotion Recognition Ability in Children with ADHD and Their Parents: A Study Protocol

2021 ◽  
Vol 18 (5) ◽  
pp. 2277
Author(s):  
Ruediger Kissgen ◽  
Sebastian Franke ◽  
Moritz Susewind ◽  
Maya Krischer
Keyword(s):  
Emotion Recognition ◽  
Clinical Sample ◽  
Disorganized Attachment ◽  
Control Group ◽  
Cross Sectional ◽  
Children With Adhd ◽  
Adhd Diagnosis ◽  
Attachment Research ◽  
Recognition Ability ◽  
Emotion Recognition Ability

Background: Few studies in clinical attachment research to date have examined children with an attention-deficit/hyperactivity disorder (ADHD) diagnosis. This is surprising for two reasons: first, there are a number of parallels between the behaviors of children with an insecure and disorganized attachment and the behaviors of children with an ADHD diagnosis. Second, secure attachment has a positive effect on the development of skills in areas in which children with ADHD demonstrate problems (e.g., attention span, impulse control). There are currently no findings on whether or not and how insecure and disorganized attachment and ADHD affect children’s emotion recognition ability. Methods: This is a cross-sectional study, part exploratory and part hypothesis-driven in the context of basic research. A clinical sample of 5- to 10-year-old children with an ADHD diagnosis and their parents is to be compared to a non-clinical unaffected control group. Over a period of 3 years, 80 subjects and their parents are to be recruited in each group for participation in the study. Discussion: This study is the first to examine links between attachment, emotion recognition ability, and ADHD. It is also the first to include not just children with ADHD but also their mothers and fathers in its design. The findings should help reduce the research gap and generate more knowledge for family interventions in the case of ADHD.

The Cortical Organization of Writing Sequence: Evidence From Observing Chinese Characters in Motion

2021 ◽  
Author(s):  
Zhaoqi Zhang ◽  
Qiming Yuan ◽  
Zeping Liu ◽  
Man Zhang ◽  
Junjie Wu ◽  
...  
Keyword(s):  
Structural Equation ◽  
Chinese Character ◽  
Inferior Frontal Gyrus ◽  
Hierarchical Control ◽  
Brain Regions ◽  
Brain Network ◽  
Equation Model ◽  
Chinese Characters ◽  
General Motor ◽  
The Right

Abstract Writing sequences play an important role in handwriting of Chinese characters. However, little is known regarding the integral brain patterns and network mechanisms of processing Chinese character writing sequences. The present study decoded brain patterns during observing Chinese characters in motion by using multi-voxel pattern analysis (MVPA), meta-analytic decoding analysis, and extended unified structural equation model (euSEM). We found that perception of Chinese character writing sequence recruited brain regions not only for general motor schema processing, i.e., the right inferior frontal gyrus, shifting and inhibition functions, i.e., the right postcentral gyrus and bilateral pre-SMA/dACC, but also for sensorimotor functions specific for writing sequences. More importantly, these brain regions formed a cooperatively top-down brain network where information was transmitted from brain regions for general motor schema processing to those specific for writing sequences. These findings not only shed light on the neural mechanisms of Chinese character writing sequences, but also extend the hierarchical control model on motor schema processing.

scholarly journals Disentangling Mathematics from Executive Functions by Investigating Unique Functional Connectivity Patterns Predictive of Mathematics Ability

2019 ◽  
Vol 31 (4) ◽  
pp. 560-573 ◽  
Author(s):  
Kenny Skagerlund ◽  
Taylor Bolt ◽  
Jason S. Nomi ◽  
Mikael Skagenholt ◽  
Daniel Västfjäll ◽  
...  
Keyword(s):  
Functional Connectivity ◽  
Resting State ◽  
Inferior Frontal Gyrus ◽  
Premotor Cortex ◽  
Mathematical Ability ◽  
Angular Gyrus ◽  
Intraparietal Sulcus ◽  
Supramarginal Gyrus ◽  
Connectivity Patterns ◽  
The Right

What are the underlying neurocognitive mechanisms that give rise to mathematical competence? This study investigated the relationship between tests of mathematical ability completed outside the scanner and resting-state functional connectivity (FC) of cytoarchitectonically defined subdivisions of the parietal cortex in adults. These parietal areas are also involved in executive functions (EFs). Therefore, it remains unclear whether there are unique networks for mathematical processing. We investigate the neural networks for mathematical cognition and three measures of EF using resting-state fMRI data collected from 51 healthy adults. Using 10 ROIs in seed to whole-brain voxel-wise analyses, the results showed that arithmetical ability was correlated with FC between the right anterior intraparietal sulcus (hIP1) and the left supramarginal gyrus and between the right posterior intraparietal sulcus (hIP3) and the left middle frontal gyrus and the right premotor cortex. The connection between the posterior portion of the left angular gyrus and the left inferior frontal gyrus was also correlated with mathematical ability. Covariates of EF eliminated connectivity patterns with nodes in inferior frontal gyrus, angular gyrus, and middle frontal gyrus, suggesting neural overlap. Controlling for EF, we found unique connections correlated with mathematical ability between the right hIP1 and the left supramarginal gyrus and between hIP3 bilaterally to premotor cortex bilaterally. This is partly in line with the “mapping hypothesis” of numerical cognition in which the right intraparietal sulcus subserves nonsymbolic number processing and connects to the left parietal cortex, responsible for calculation procedures. We show that FC within this circuitry is a significant predictor of math ability in adulthood.

scholarly journals Abnormal Degree Centrality in the Right Inferior Frontal Gyrus During Urine Holding in Children With Primary Monosymptomatic Nocturnal Enuresis

2021 ◽  
Author(s):  
Mengxing Wang ◽  
Xiangyu Zheng ◽  
Zhaoxia Qin ◽  
Jun Ma ◽  
Xiaoxia Du
Keyword(s):  
Nocturnal Enuresis ◽  
Inferior Frontal Gyrus ◽  
Brain Regions ◽  
Degree Centrality ◽  
Healthy Children ◽  
Bladder Control ◽  
Monosymptomatic Nocturnal Enuresis ◽  
Urine Storage ◽  
The Right ◽  
Primary Monosymptomatic Nocturnal Enuresis

Abstract Background: Primary monosymptomatic nocturnal enuresis (PMNE) is a common disorder among school-age children. Previous research has suggested that the prefrontal cortex (PFC) is essential to maintain urine storage in bladder control. We hypothesized that children with PMNE have functional deficits in several brain regions, especially the PFC, during urine storage. In this work, we investigated 30 children with PMNE and 28 controls in a state of natural urine holding to evaluate dysfunction in the bladder control network by applying degree centrality (DC) analysis methods based on resting-state functional magnetic resonance imaging. And seed-based functional connectivity (FC) analysis was used to investigate whether the dysfunctional areas exhibited altered FC with other brain regions.Results: Compared with the typical healthy children, the children with PMNE showed increased DC in the right inferior frontal gyrus (IFG). Also, the right IFG showed increased connectivity with the left middle and inferior frontal gyri and the right precuneus extending to the cuneus in the children with PMNE.Conclusion: The children with PMNE showed abnormal neural activity during urine storage and exhibited increased DC in the right IFG and increased connectivity with the left PFC and right precuneus during urine storage. These results suggest that compensatory effects may be associated with the right IFG combined with the precuneus and left PFC working together to maintain high vigilance and improve micturition's inhibition function to preserve the state of urine holding in children with PMNE.

Differences in network centrality between high and low myopia: a voxel-level degree centrality study

2020 ◽  
Vol 61 (10) ◽  
pp. 1388-1397
Author(s):  
Yi Cheng ◽  
Li Yan ◽  
Liqun Hu ◽  
Hongyun Wu ◽  
Xin Huang ◽  
...  
Keyword(s):  
Brain Activity ◽  
Inferior Frontal Gyrus ◽  
Brain Regions ◽  
Anterior Lobe ◽  
Parahippocampal Gyrus ◽  
Functional Networks ◽  
Degree Centrality ◽  
Left Caudate ◽  
The Difference ◽  
The Right

Background Previous studies have linked high myopia (HM) to brain activity, and the difference between HM and low myopia (LM) can be assessed. Purpose To study the differences in functional networks of brain activity between HM and LM by the voxel-level degree centrality (DC) method. Material and Methods Twenty-eight patients with HM (10 men, 18 women), 18 patients with LM (4 men, 14 women), and 59 healthy controls (27 men, 32 women) were enrolled in this study. The voxel-level DC method was used to assess spontaneous brain activity. Correlation analysis was used to explore the change of average DC value in different brain regions, in order to analyze differences in brain activity between HM and LM. Results DC values of the right cerebellum anterior lobe/brainstem, right parahippocampal gyrus, and left caudate in HM patients were significantly higher than those in LM patients ( P < 0.05). In contrast, DC values of the left medial frontal gyrus, right inferior frontal gyrus, left middle frontal gyrus, and left inferior parietal lobule were significantly lower in patients with HM ( P < 0.05). However, there was no correlation between behavior and average DC values in different brain regions ( P < 0.05). Conclusion Different changes in brain regions between HM and LM may indicate differences in neural mechanisms between HM and LM. DC values could be useful as biomarkers for differences in brain activity between patients with HM and LM. This study provides a new method to assess differences in functional networks of brain activity between patients with HM and LM.

scholarly journals Accuracy in Judging Others’ Personalities: The Role of Emotion Recognition, Emotion Understanding, and Trait Emotional Intelligence

2020 ◽  
Vol 8 (3) ◽  
pp. 34
Author(s):  
Cyril Jaksic ◽  
Katja Schlegel
Keyword(s):  
Emotional Intelligence ◽  
Emotion Recognition ◽  
Emotion Understanding ◽  
Trait Emotional Intelligence ◽  
Judgment Accuracy ◽  
Personality Judgment ◽  
Domain Specific ◽  
Individual Difference Variable ◽  
Recognition Ability ◽  
Emotion Recognition Ability

The ability to accurately judge others’ personality and the ability to accurately recognize others’ emotions are both part of the broader construct of interpersonal accuracy (IPA). However, little research has examined the association between these two IPA domains. Little is also known about the relationship between personality judgment accuracy and other socio-emotional skills and traits. In the present study, 121 participants judged eight traits (Big Five, intelligence, cooperativeness, and empathy) in each of 30 targets who were presented either in a photograph, a muted video, or a video with sound. The videos were 30 second excerpts from negotiations that the targets had engaged in. Participants also completed standard tests of emotion recognition ability, emotion understanding, and trait emotional intelligence. Results showed that personality judgment accuracy, when indexed as trait accuracy and distinctive profile accuracy, positively correlated with emotion recognition ability and was unrelated to emotion understanding and trait emotional intelligence. Female participants were more accurate in judging targets’ personality than men. These results provide support for IPA as a set of correlated domain-specific skills and encourage further research on personality judgment accuracy as a meaningful individual difference variable.

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