Structural and functional brain alterations in subthreshold depression: A multimodal coordinate-based meta-analysis.

Imaging studies of subthreshold depression (StD) have reported structural and functional abnormalities in a variety of spatially diverse brain regions. However, there is no consensus among different studies. In the present study, we applied a multimodal meta-analytic approach, the Activation Likelihood Estimation (ALE), to test the hypothesis that StD exhibits spatially convergent structural and functional brain abnormalities compared to healthy controls. A total of 31 articles with 25 experiments were included, collectively representing 1001 subjects with StD. We found consistent differences between StD and healthy controls mainly in the left insula across studies with various neuroimaging methods. Further exploratory analyses found structural atrophy and decreased functional activities in the right pallidum and thalamus in StD, and abnormal spontaneous activity converged to the middle frontal gyrus. Coordinate-based meta-analysis found spatially convergent structural and functional impairments in StD. These findings provide novel insights for understanding the neural underpinnings of subthreshold depression and enlighten the potential targets for its early screening and therapeutic interventions in the future.

A new mathematical model for evaluating surface changes in the mid-abdominal sagittal plane after two-level pedicle reduction osteotomy in patients with ankylosing spondylitis.

BACKGROUND: The purpose of this study was to create a mathematical model to precalculate the acreage change in the abdominal median sagittal plane (ac-AMSP) of patients with ankylosing spondylitis (AS) for whom two-level pedicle subtraction osteotomy (PSO) was planned. METHODS: A single-centre retrospective review of prospectively collected data was conducted among 11 adults with AS. Acreage of the abdominal median sagittal plane (a-AMSP) was performed. The distances and angles between the osteotomy apexes, anterosuperior edge of T12, xiphoid process, superior edge of the pubis, and anterosuperior corner of the sacrum were measured on preoperative thoracolumbar computed tomography. A mathematical model was created using basic trigonometric functions in accordance with the abdominal parameters. Planned osteotomized vertebra angles (POVAs) were substituted into the mathematical model, and the predictive ac-AMSP (P-AC) was obtained. A paired sample t test was performed to determine the differences between the P-AC and actual ac-AMSP (A-AC) and between the predictive acreage change rate (P-CR) and actual acreage change rate (A-CR). RESULTS: The mean age and GK were 44.4 ± 8.99 years and 102.9° ± 19.17°, respectively. No significant difference exists between A-CR and P-CR via mathematical modeling (p > 0.05). No statistically significant difference existed between POVA and actual osteotomized vertebra angles (AOVA) (p > 0.05). A statistically significant difference was observed between preoperative and postoperative measurements of LL, SVA, and GK variables (p < 0.001). CONCLUSIONS: The novel mathematical model was reliable in predicting the ac-AMSP in AS patients undergoing two-level PSO.

The relationships between trait anger, forgiveness, and subjective well-being during the COVID-19 pandemic: a moderated mediating model under lockdown situation.

Although previous studies have found relationships between anger, forgiveness, and well-being, none have examined whether forgiveness mediates the relationship between trait anger and subjective well-being. To address this gap, this study constructed and tested a relevant moderated mediating model. We also considered the moderating effects of the COVID-19 lockdown situation, which has indirectly deteriorated well-being. The participants included 1,274 individuals who were recruited in April 2022. In sum, the results showed negative relationships between the trait anger and forgiveness and well-being, with a positive association between forgiveness and well-being. Moreover, forgiveness mediated the association between trait anger and subjective well-being, whereas the lockdown situation regulated the effects of trait anger on forgiveness and subjective well-being; specifically, forgiveness and well-being were more susceptible to trait anger among individuals under the lockdown situation. These findings suggest that forgiveness mediates the relationship between trait anger and well-being, while trait anger negatively predicts forgiveness and subjective well-being. Furthermore, the lockdown situation increases the negative predictive effects of anger on forgiveness and subjective well-being. Supplementary information: The online version contains supplementary material available at 10.1007/s12144-023-04500-9.

Screening for reproductive biomarkers in Bactrian camel via iTRAQ analysis of proteomes.

Bactrian camel is an ancient and precious species of livestock; that is, unique resources exist in the desert and have important economic and scientific value. In recent years, the number of Bactrian camels has declined sharply. Due to its long reproductive cycle and seasonal oestrus, the mechanism of oestrus is unknown. To identify candidate biomarkers of reproduction, we performed a comprehensive proteomic analysis of serum from Bactrian camel in oestrus and non-oestrus, using isobaric tags for relative and absolute quantitation (iTRAQ) coupled with tandem mass spectrometry. We identified 359 proteins, of which 32 were differentially expressed: 11 were up-regulated and 21 were down-regulated in samples from camels in oestrus. We validated the differential expression of a subset of these proteins using qPCR and Western blot. Gene ontology annotation identified that the differentially expressed proteins function in cellular processes, metabolic processes and immune system processes. Notably, five of the differentially expressed proteins, PCGF5, histone H1.2, RBP4, FOLR1 and ANTXR2, are involved in reproductive regulatory processes in other animals. KEGG enrichment analysis demonstrated significant enrichment in several cardiac-related pathways, such as 'dilated cardiomyopathy', 'hypertrophic cardiomyopathy', 'cardiac muscle contraction' and 'adrenergic signalling in cardiomyopathy'. Our results suggest that candidate biomarker (PCGF5, histone H1.2, RBP4, FOLR1 and ANTXR2) discovery can aid in understanding reproduction in Bactrian camels. We conclude that the profiling of serum proteomes, followed by the measurement of selected proteins using more targeted methods, offers a promising approach for studying mechanisms of oestrus.

Association Between Silent Brain Infarcts and Cognitive Function: A Systematic Review and Meta-Analysis.

BACKGROUND AND PURPOSE: Silent brain infarct (SBI), which has traditionally been considered clinically silent, has been proposed as a subclinical risk marker for future cognitive function decline. METHODS: We conducted a systematic review of literature in the Cochrane Library, MEDLINE, EMBASE, and the China National Knowledge Infrastructure database. RESULTS: In the end, 19 case-control studies, comprising 6712 participants, and 3 prospective cohort studies comprising 4433 participants, met all inclusion criteria and were included in the systematic review. Meta-analysis of 9 studies showed that SBI was an important factor in cognitive function decline (Mini-Mental State score) (standardized mean difference -.47, 95% confidence interval; -.72 to -.22). Another meta-analysis of 4 studies reported the SBI was an independent factor in cognitive dysfunction (Montreal Cognitive Assessment Scale) (standardized mean difference -3.36, 95% confidence interval; -5.90 to -.82). Ten studies further reported that SBI was associated with decreases in specific areas of cognitive function. CONCLUSIONS: These results suggest that rather than being clinically silent, SBI might be a factor inducing cognitive dysfunction.

[Analysis of CLCN1 gene mutations in a family affected with myotonia congenita].

OBJECTIVE: To detect potential mutations of chloride channel l (CLCN1) gene in a family affected with myotonia congenita. METHODS: Clinical data of the proband and her parents and brother was collected. The coding regions of the CLCN1 gene were subjected to PCR and Sanger sequencing. RESULTS: Two missense mutations (c.937G>A and c.1205C>T), which were respectively located within exons 8 and 11 of the CLCN1 gene, were identified in the proband. The mother and father of the proband were found to harbor the c.937G>A and c.1205C>T mutation, respectively, whilst neither mutation was found in her brother. CONCLUSION: The novel missense CLCN1 mutations probably underlie the disease in this family. These have enriched the spectrum of CLCN1 mutations and may facilitate further research on this disorder.

Training your brain to be more creative: brain functional and structural changes induced by divergent thinking training.

Creativity is commonly defined as the ability to produce something both novel and useful. Stimulating creativity has great significance for both individual success and social improvement. Although increasing creative capacity has been confirmed to be possible and effective at the behavioral level, few longitudinal studies have examined the extent to which the brain function and structure underlying creativity are plastic. A cognitive stimulation (20 sessions) method was used in the present study to train subjects and to explore the neuroplasticity induced by training. The behavioral results revealed that both the originality and the fluency of divergent thinking were significantly improved by training. Furthermore, functional changes induced by training were observed in the dorsal anterior cingulate cortex (dACC), dorsal lateral prefrontal cortex (DLPFC), and posterior brain regions. Moreover, the gray matter volume (GMV) was significantly increased in the dACC after divergent thinking training. These results suggest that the enhancement of creativity may rely not only on the posterior brain regions that are related to the fundamental cognitive processes of creativity (e.g., semantic processing, generating novel associations), but also on areas that are involved in top-down cognitive control, such as the dACC and DLPFC. Hum Brain Mapp 37:3375-3387, 2016. © 2016 Wiley Periodicals, Inc.

Public perceptions and attitudes to biological risks: Saudi Arabia and regional perspectives.

Saudi Arabia has experienced frequent occurrences of biological disasters due to a wide range of generator factors, including natural disasters and epidemics. A national survey (n=1,164) was conducted across 13 regions of Saudi Arabia to examine public perceptions to the risk of a biological disaster. The primary results reveal: (a) a degree of knowledge about biological threats such as SARS and H5N1 flu, despite the lack of individual experience with disasters; (b) age, gender, education and faith are positively related to the perception of biological risk; and (c) a number of important community resilience factors exist, including faith, education and willingness. This study concludes that the development of adapted resilience strategies in disaster management can be achieved through public education and training involving cooperation with official organisations and religious authorities in the country to increase public awareness, knowledge and skills in mitigating biological threats.

[Clinical and genetic study of a family affected with spinocerebellar ataxia 3 and polycystic kidney disease].

OBJECTIVE: To investigate clinical features and genetic mutations of a family affected with spinocerebellar ataxia 3 and polycystic kidney disease. METHODS: Polymerase chain reaction and DNA sequencing were employed to analyze exon 10 of the SCA3 gene, in addition with all exons and flanking sequences of PKD1 and PKD2 genes. The clinical features were also carefully analyzed. RESULTS: The numbers of CAG repeat in the proband's SCA3 gene were 28/76, with the number of repeats in the mutant allele being in the full range. The sequence of exon 23 of the PKD1 gene was also found to be abnormal. Clinical symptoms of the proband were very serious, which were characterized by obvious ataxia, pyramidal signs, Meige syndrome, depression and high blood pressure. CONCLUSION: Hereditary spinocerebellar ataxia 3 and autonomic dominant polycystic kidney disease may co-occur, and genetic testing is the primary means of diagnosis.

Examining brain structures associated with perceived stress in a large sample of young adults via voxel-based morphometry.

Perceived stress reflects the extent to which situations are appraised as stressful at a given point in one's life. Past brain imaging studies have examined activation patterns underlying the stress response, yet focal differences in brain structures related to perceived stress are not well understood, especially when considering gray matter (GM) and white matter (WM) structures simultaneously. In this study, voxel-based morphometry was used to investigate relations between GM/WM volume and perceived stress levels in a large young adult sample. Participants (138 men, 166 women) completed the Perceived Stress Scale (PSS; Cohen et al., 1983) and underwent an anatomical magnetic resonance imaging scan. Higher PSS scores were associated with larger GM volume in a cluster that included regions in the bilateral parahippocampal gyrus, fusiform cortex, and entorhinal cortex and smaller GM volume in a cluster that included regions of the right insular cortex. Higher PSS scores were also related to smaller WM volume in a cluster that included the body of the corpus callosum. This pattern of results remained significant even after controlling for effects of general intelligence, socioeconomic status, and depression. Together, findings suggest a unique structural basis for individual differences in perceived stress, distributed across different GM and WM regions of the brain.

Association of creative achievement with cognitive flexibility by a combined voxel-based morphometry and resting-state functional connectivity study.

Although researchers generally concur that creativity involves the production of novel and useful products, the neural basis of creativity remains elusive due to the complexity of the cognitive processes involved. Recent studies have shown that highly creative individuals displayed more cognitive flexibility. However, direct evidence supporting the relationship between creativity and cognitive flexibility has rarely been investigated using both structural and functional neuroimaging techniques. We used a combined voxel-based morphometry and resting-state functional connectivity (rsFC) analysis to investigate the relationship between individual creativity ability assessed by the creative achievement questionnaire (CAQ), and regional gray matter volume (GMV), as well as intrinsic functional connectivity. Results showed that CAQ scores negatively correlated with GMV in the rostral anterior cingulate cortex (ACC) and the bilateral dorsal ACC (dACC) extending to supplementary motor area, but positively correlated with GMV in the bilateral superior frontal gyrus and ventral medial prefrontal cortex (vmPFC). Further functional connectivity analysis revealed that higher creative achievement was inversely associated with the strength of rsFC between the dACC and medial superior frontal gyrus (mSFG), right middle frontal gyrus, and left orbito-frontal insula. Moreover, the association between the dACC-mSFG connectivity and CAQ scores was mediated by cognitive flexibility, assessed by a task-switching paradigm. These findings indicate that individual differences in creative achievement are associated with both brain structure and corresponding intrinsic functional connectivity involved in cognitive flexibility and deliberate creative processing. Furthermore, dACC-mSFG connectivity may affect creative achievement through its impact on cognitive flexibility.

Regional gray matter volume is associated with rejection sensitivity: a voxel-based morphometry study.

Rejection sensitivity (RS) can be defined as the disposition that one tends to anxiously expect, readily perceive, and intensely react to rejection. High-RS individuals are more likely to suffer mental disorders. Previous studies have investigated brain activity during social rejection using different kinds of rejection paradigms and have provided neural evidence of individual differences in response to rejection cues, but the association between individual differences in RS and brain structure has never been investigated. In this study, voxel-based morphometry (VBM) was used to investigate the relationship between gray matter volume (GMV) and RS in a large healthy sample of 150 men and 188 women. The participants completed the RS Questionnaire and underwent an anatomical magnetic resonance imaging scan. Multiple regression was used to analyze the correlation between regional GMV and RS scores, adjusting for age, sex, and total brain GMV. These results showed that GMV in the region of the posterior cingulate cortex/precuneus was negatively associated with RS, and GMV in the region of the inferior temporal gyrus was positively correlated with RS. These findings suggest a relationship between individual differences in RS and GMV in brain regions that are primarily related to social cognition.

BIM based virtual environment for fire emergency evacuation.

Recent building emergency management research has highlighted the need for the effective utilization of dynamically changing building information. BIM (building information modelling) can play a significant role in this process due to its comprehensive and standardized data format and integrated process. This paper introduces a BIM based virtual environment supported by virtual reality (VR) and a serious game engine to address several key issues for building emergency management, for example, timely two-way information updating and better emergency awareness training. The focus of this paper lies on how to utilize BIM as a comprehensive building information provider to work with virtual reality technologies to build an adaptable immersive serious game environment to provide real-time fire evacuation guidance. The innovation lies on the seamless integration between BIM and a serious game based virtual reality (VR) environment aiming at practical problem solving by leveraging state-of-the-art computing technologies. The system has been tested for its robustness and functionality against the development requirements, and the results showed promising potential to support more effective emergency management.

Spontaneous brain activity associated with individual differences in decisional and emotional forgiveness.

Previous studies have explored the neural bases of forgiveness, however, the neural associations of decisional and emotional forgiveness remain unclear. Regional homogeneity (ReHo) and functional connectivity (FC) measured by resting-state functional magnetic resonance imaging (fMRI) were used to investigate the neural associations of individual differences in decisional and emotional forgiveness among healthy volunteers (256 participants, 85 males). The results of the ReHo analysis showed that decisional forgiveness was positively correlated with the left inferior parietal lobule (IPL). Furthermore, emotional forgiveness was positively correlated with the dorsal anterior cingulate cortex (dACC) and left supramarginal gyrus (SMG). The results of the FC analysis showed that decisional forgiveness was positively associated with the FC strength between the left IPL and left middle frontal gyrus (MFG) and negatively correlated with the FC strength among the left IPL, right superior temporal gyrus (STG), and left SMG. Furthermore, there was a significant positive correlation between emotional forgiveness and FC strength between the left SMG and right IPL. These findings suggest an association between decisional and emotional forgiveness and spontaneous brain activity in brain regions related to empathy, emotion regulation, and cognitive control.

The association between TLR2/4 and clinical outcome in intracerebral hemorrhage.

BACKGROUND AND PURPOSE: Toll-like receptors (TLRs) are involved in innate immunity and inflammatory responses in various diseases. Our study aimed to investigate the association between the levels of soluble TLR4 (sTLR4) and soluble TLR2 (sTLR2) and clinical outcomes following intracerebral hemorrhage (ICH). METHODS: Patients admitted to department of Neurology with acute ICH were included. Plasma levels of sTLR4 and sTLR2 after ICH were measured by enzyme-linked immunosorbent assay. Poor clinical outcome was defined as a modified Rankin score (mRS) of 3-6 at 3-month and 12-month after onset. RESULTS: All 207 patients with ICH and 100 non-stroke controls were included in our analysis. The mean sTLR4 level was 4.53±1.51 ng/ml and mean sTLR2 level was 3.65±0.72 ng/ml. There was significant trend towards worse clinical outcomes with increasing sTLR4 and sTLR2 terciles at 3 and 12 months. According to receiver operating curve (ROC), the sTLR4 was reliable predictor for poor clinical outcome at 3 months (ROC=0.75) and 12 months (ROC=0.74). The sTLR2 was less reliable predictor for poor clinical outcome at 3 months (ROC=0.64) and 12 months (ROC=0.65). The level of sTLR4 was an independent predictor of poor clinical outcome at 12-month (OR 1.24, 95 % CI 1.16-1.80; P=0.019). CONCLUSIONS: The sTLR4 quantification may provide accurate prognostic information after ICH.

Cognitive control in belief-laden reasoning during conclusion processing: an ERP study.

Belief bias is the tendency to accept conclusions that are compatible with existing beliefs more frequently than those that contradict beliefs. It is one of the most replicated behavioral findings in the reasoning literature. Recently, neuroimaging studies using functional magnetic resonance imaging (fMRI) and event-related potentials (ERPs) have provided a new perspective and have demonstrated neural correlates of belief bias that have been viewed as supportive of dual-process theories of belief bias. However, fMRI studies have tended to focus on conclusion processing, while ERPs studies have been concerned with the processing of premises. In the present research, the electrophysiological correlates of cognitive control were studied among 12 subjects using high-density ERPs. The analysis was focused on the conclusion presentation phase and was limited to normatively sanctioned responses to valid-believable and valid-unbelievable problems. Results showed that when participants gave normatively sanctioned responses to problems where belief and logic conflicted, a more positive ERP deflection was elicited than for normatively sanctioned responses to nonconflict problems. This was observed from -400 to -200 ms prior to the correct response being given. The positive component is argued to be analogous to the late positive component (LPC) involved in cognitive control processes. This is consistent with the inhibition of empirically anomalous information when conclusions are unbelievable. These data are important in elucidating the neural correlates of belief bias by providing evidence for electrophysiological correlates of conflict resolution during conclusion processing. Moreover, they are supportive of dual-process theories of belief bias that propose conflict detection and resolution processes as central to the explanation of belief bias.

The Moderation Effects of Self-Construal Between Dispositional Mindfulness and Interpersonal Forgiveness.

Previous studies found an association between mindfulness and forgiveness. However, the effects of self-construal on this association are still unclear. In the present study, self-reported forgiveness and a behavioral measure of forgiveness were used to explore the moderating effect of self-construal plays between mindfulness and forgiveness among 126 participants recruited based on their mindfulness scores. Results showed that participants with high level of mindfulness in the interdependent self-construal condition reported greater forgiveness and gave more money donations towards transgressors than those in the independent self-construal condition, while there is no significant difference between interdependent and independent self-construal groups among participants with low level of mindfulness. These findings suggest that self-construal moderates the relationship between mindfulness and interpersonal forgiveness.

Connectome-based predictive modeling of trait forgiveness.

Forgiveness is a positive, prosocial manner of reacting to transgressions and is strongly associated with mental health and well-being. Despite recent studies exploring the neural mechanisms underlying forgiveness, a model capable of predicting trait forgiveness at the individual level has not been developed. Herein, we applied a machine-learning approach, connectome-based predictive modeling (CPM), with whole-brain resting-state functional connectivity (rsFC) to predict individual differences in trait forgiveness in a training set (dataset 1, N = 100, 35 men, 17-24 years). As a result, CPM successfully predicted individual trait forgiveness based on whole-brain rsFC, especially via the functional connectivity of the limbic, prefrontal and temporal areas, which are key contributors to the prediction model comprising regions previously implicated in forgiveness. These regions include the retrosplenial cortex, temporal pole, dorsolateral prefrontal cortex (PFC), dorsal anterior cingulate cortex, precuneus and dorsal posterior cingulate cortex. Importantly, this predictive model could be successfully generalized to an independent sample (dataset 2, N = 71, 17 men, 16-25 years). These findings highlight the important roles of the limbic system, PFC and temporal region in trait forgiveness prediction and represent the initial steps toward establishing an individualized prediction model of forgiveness.

Experimental Research on Fatigue Performance of Reinforced Concrete T-Shaped Beams under Corrosion-Fatigue Coupling Action.

Highway bridges in coastal areas are seriously affected by the marine environment, while most of the existing test methods for bridge-reinforced concrete beams considering both corrosion and fatigue factors are carried out in an alternating manner, which cannot reflect the actual service conditions of the bridge structure. This paper focuses on an experimental study of the coupled influence of reinforcement corrosion and fatigue loading in reinforced concrete T-shaped beams. A novel loading test device that can realize the corrosion-fatigue coupling effect is designed, and then six reinforced concrete T-shaped beams are fabricated and tested. For the corrosion-fatigue coupling test beams, the variation law of beam cracks, failure modes, steel strain development law, load-deflection relationship, and fatigue life are analyzed and compared with that of the simple fatigue test beams. The test results show that the cracks of the test beam develop continuously with the fatigue loading times under the corrosion-fatigue coupling environment. The fatigue failure modes are all brittle fractures of the main steel bars, which present the shape of uneven oblique section tearing. The new testing device and approach can provide direct insights into the interaction of reinforcement corrosion and cyclic loading on the fatigue behavior of T-shaped RC beams, which can be further used to understand the long-term performance of bridge structures under complex marine environments.

A self-adaptive quantum equilibrium optimizer with artificial bee colony for feature selection.

Feature selection (FS) is a popular data pre-processing technique in machine learning to extract the optimal features to maintain or increase the classification accuracy of the dataset, which is a combinatorial optimization problem, requiring a powerful optimizer to obtain the optimum subset. The equilibrium optimizer (EO) is a recent physical-based metaheuristic algorithm with good performance for various optimization problems, but it may encounter premature or the local convergence in feature selection. This work presents a self-adaptive quantum EO with artificial bee colony for feature selection, named SQEOABC. In the proposed algorithm, the quantum theory and the self-adaptive mechanism are employed into the updating rule of EO to enhance convergence, and the updating mechanism from the artificial bee colony is also incorporated into EO to achieve appropriate FS solutions. In the experiments, 25 benchmark datasets from the UCI repository are investigated to verify SQEOABC, which is compared with several state-of-the-art metaheuristic algorithms and the variants of EO. The statistical results of fitness values and accuracy demonstrate that SQEOABC has better performance than the compared algorithms and the variants of EO. Finally, a real-world FS problem from COVID-19 illustrates the effectiveness and superiority of SQEOABC.