Ectopic expression of BOTRYTIS SUSCEPTIBLE1 reveals its function as a positive regulator of wound-induced cell death and plant susceptibility to Botrytis.

Programmed cell death (PCD) is integral to plant life and required for stress responses, immunity, and development. Our understanding of the regulation of PCD is incomplete, especially concerning regulators involved in multiple divergent processes. The botrytis-susceptible (bos1) mutant of Arabidopsis is highly susceptible to fungal infection by Botrytis cinerea (Botrytis). BOS1 (also known as MYB108) regulates cell death propagation during plant responses to wounding. The bos1-1 allele contains a T-DNA insertion in the 5'-untranslated region upstream of the start codon. This insertion results in elevated expression of BOS1/MYB108. We used clustered regularly interspaced short palindromic repeats (CRISPR) and CRISPR-associated nuclease 9 (Cas9) system (CRISPR/Cas9) to create new bos1 alleles with disrupted exons, and found that these lines lacked the typical bos1-1 wounding and Botrytis phenotypes. They did exhibit reduced fertility, as was previously observed in other bos1 alleles. Resequencing of the bos1-1 genome confirmed the presence of a mannopine synthase (MAS) promoter at the T-DNA left border. Expression of the BOS1 gene under control of the MAS promoter in wild-type plants conferred the characteristic phenotypes of bos1-1: Botrytis sensitivity and response to wounding. Multiple overexpression lines demonstrated that BOS1 was involved in regulation of cell death propagation in a dosage-dependent manner. Our data indicate that bos1-1 is a gain-of-function mutant and that BOS1 function in regulation of fertility and Botrytis response can both be understood as misregulated cell death.

Brain Stimulation of Dorsolateral Prefrontal Cortices Influences Impulsivity in Delay Discounting Choices.

Intertemporal decision-making is pivotal for human interests and health. Recently, studies instructed participants to make intertemporal choices for both themselves and others, but the specific mechanisms are still debated. To address the issue, in the current study, the cost-unneeded conditions (i.e., "Self Immediately - Self Delay" and "Other Immediately - Other Delay" conditions) and the cost-needed conditions (i.e., "Self Immediately - Other Delay" and "Self Delay - Other Immediately" conditions) were set with the identity of OTHER being a stranger. We manipulated the magnitude of reward (Experiment 1) and disrupted the activation of the dorsolateral prefrontal cortex with repetitive transcranial magnetic stimulation (rTMS; Experiment 2). We found that both the behavioral and rTMS manipulations increased smaller but sooner choice probability via reducing self-control function. The reduced self-control function elicited by rTMS affected both self- and other-related intertemporal choices via increasing the choice preference for smaller but sooner reward options, which may help people deeply understand the relationship between self- and other-related intertemporal choices in processing mechanism, especially when the OTHER condition is set as a stranger.

Spatial representation of multidimensional information in emotional faces revealed by fMRI.

Face perception is a complex process that involves highly specialized procedures and mechanisms. Investigating into face perception can help us better understand how the brain processes fine-grained, multidimensional information. This research aimed to delve deeply into how different dimensions of facial information are represented in specific brain regions or through inter-regional connections via an implicit face recognition task. To capture the representation of various facial information in the brain, we employed support vector machine decoding, functional connectivity, and model-based representational similarity analysis on fMRI data, resulting in the identification of three crucial findings. Firstly, despite the implicit nature of the task, emotions were still represented in the brain, contrasting with all other facial information. Secondly, the connection between the medial amygdala and the parahippocampal gyrus was found to be essential for the representation of facial emotion in implicit tasks. Thirdly, in implicit tasks, arousal representation occurred in the parahippocampal gyrus, while valence depended on the connection between the primary visual cortex and the parahippocampal gyrus. In conclusion, these findings dissociate the neural mechanisms of emotional valence and arousal, revealing the precise spatial patterns of multidimensional information processing in faces.

Two new members of the genus Sphingobacterium: Sphingobacterium zhuxiongii sp. nov. and Sphingobacterium luzhongxinii sp. nov.

Four strains, designated dk4302T, dk4209, xlx-73T, and xlx-183, were isolated from Tibetan gazelle and red swamp crawfish collected from the Qinghai-Tibet Plateau and Jiangxi Province, PR China. The strains were Gram-stain-negative, aerobic, rod-shaped, non-motile, mucoid, and yellow-pigmented. Strains dk4302T and dk4209 grew at 10-40 °C and pH 6.0-9.0, while strains xlx-73T/xlx-183 grew at 15-40 °C and pH 6.0-10.0. Both strains exhibited growth in the presence of up to 3.5 % (w/v) NaCl. Phylogenetic and phylogenomic analyses based on the 16S rRNA gene sequences and 652 core genes, respectively, revealed that the four strains formed two distinct clusters in the genus Sphingobacterium. Strains dk4302T and dk4209 formed a distinct clade with Sphingobacterium hotanense XH4T and Sphingobacterium humi D1T. The most closely related strains to xlx-73T and xlx-183 were Sphingobacterium nematocida M-SX103T. The DNA G+C contents were 38.9 and 39.8 mol%. The digital DNA-DNA hybridization (dDDH) values between dk4302T and S. humi D1T and S. hotanense XH4T were 19.2 and 21.8 % (19.0 and 21.6 % for strain dk4209), respectively. The corresponding average nucleotide identity (ANI) values were 74.3 and 78.1 % (74.4 and 78.3 % for strain dk4209), respectively. The dDDH values between xlx-73T (xlx-183) and S. nematocida M-SX103T was 24.6 % (25.7 %). The corresponding ANI value was 85.7 % (85.5 % for strain xlx-183). The major fatty acid and respiratory quinone of dk4302T and xlx-73T were iso-C15:0 and MK7. The polar lipids identified in all of the novel strains were phosphatidylethanolamine, phosphoglycolipids, aminophospholipids, and phospholipids. A total of 61/190 (32.1 %) and 82/190 (43.2 %) carbon substrates were metabolized by strains dk4302T and xlx-73T in the Biolog MicroPlates, respectively. Based on the results from this polyphasic taxonomic study, two novel species in the genus Sphingobacteruim are proposed, namely Sphingobacteruim zhuxiongii sp. nov. (type strain dk4302T=CGMCC 1.16795T=JCM 33600T) and Sphingobacteruimluzhongxinii sp. nov. (type strain xlx-73T=GDMCC 1.1712T=JCM 33886T).

Intrinsic excitability of human right parietal cortex shapes the experienced visual size illusions.

Converging evidence has found that the perceived visual size illusions are heritable, raising the possibility that visual size illusions might be predicted by intrinsic brain activity without external stimuli. Here we measured resting-state brain activity and 2 classic visual size illusions (i.e. the Ebbinghaus and the Ponzo illusions) in succession, and conducted spectral dynamic causal modeling analysis among relevant cortical regions. Results revealed that forward connection from right V1 to superior parietal lobule (SPL) was predictive of the Ebbinghaus illusion, and self-connection in the right SPL predicted the Ponzo illusion. Moreover, disruption of intrinsic activity in the right SPL by repetitive transcranial magnetic stimulation (TMS) temporally increased the Ebbinghaus rather than the Ponzo illusion. These findings provide a better mechanistic understanding of visual size illusions by showing the causal and distinct contributions of right parietal cortex to them, and suggest that spontaneous fluctuations in intrinsic brain activity are relevant to individual difference in behavior.

Association among abnormal glycolipids, reproductive hormones, and cognitive dysfunction in female patients with bipolar disorder.

BACKGROUND: Patients with bipolar disorder (BD) show abnormalities in glucolipid metabolism and reproductive hormone levels, which are of concern in women with BD. This study was dedicated to investigating the glucolipid and reproductive hormone levels of female patients, and to preliminarily investigating their relationships with cognition. METHODS: A total of 58 unmedicated female BD patients, 61 stable-medicated female BD patients, and 63 healthy controls (HC) were recruited in this study. Serum glycolipid indexes and reproductive hormones were measured. Cognitive function was assessed using the Repeatable Battery for the Assessment of Neuropsychological Status (RBANS) and the Stroop Color-Word Test (Stroop test). RESULTS: Patients with BD showed significant cognitive impairment (p < 0.05), which was not affected by medication. Triglycerides (TG), luteinizing hormone (LH), and high-density lipoprotein cholesterol (HDL-c) were altered in stable-medicated BD patients. In addition, regression analysis showed that progesterone (PRGE) and prolactin (PRL) were negatively associated with cognitive performance in stable-medicated BD patients. CONCLUSIONS: Female BD patients may have cognitive deficits and abnormal levels of glycolipids and reproductive hormones. And abnormal levels of glycolipids and reproductive hormones may be associated with cognitive dysfunction in female BD patients.

Automatic Positive and Negative Emotion Regulation in Adolescents with Major Depressive Disorder.

INTRODUCTION: Adolescents with major depressive disorder (MDD) exhibit hypoactivity to positive stimuli and hyperactivity to negative stimuli in terms of neural responses. Automatic emotion regulation (AER) activates triple networks (i.e., the central control network, default mode network, and salience network). Based on previous studies, we hypothesized that adolescents with MDD exhibit dissociable spatiotemporal deficits during positive and negative AER. METHODS: We first collected EEG data from 32 adolescents with MDD and 35 healthy adolescents while they performed an implicit emotional Go/NoGo task. Then, we characterized the spatiotemporal dynamics of cortical activity during AER. RESULTS: In Go trials, MDD adolescents exhibited reduced N2 amplitudes, enhanced theta power for positive pictures, and stronger bottom-up information flow from the left orbitofrontal cortex (OFC) to the right superior frontal gyrus compared to top-down information flow than the controls. In contrast, in NoGo trials, MDD adolescents exhibited elevated P3 amplitudes, enhanced theta power, and stronger top-down information flows from the right middle frontal gyrus to the right OFC and the left insula than the controls. CONCLUSION: Overall, adolescents with MDD exhibited impaired automatic attention to positive emotions and impaired automatic response inhibition. These findings have potential implications for the clinical treatment of adolescents with MDD.

The perceived controllability of negatively-valenced episodic future thinking modulates delay discounting.

Intertemporal decision-making is important for both economy and physical health. Nevertheless, in daily life, individuals tend to prefer immediate and smaller rewards to delayed and larger rewards, which is known as delay discounting (DD). Episodic future thinking (EFT) has been proven to influence DD. However, there is still no inconsistent conclusion on the effect of negative EFT on DD. Considering the perceived controllability of negative EFT may address the issue (Controllability refers to the extent to which progress and result of an event could be controlled by ourselves). In the current study, we manipulated EFT conditions (baseline, neutral EFT, negative-controllable EFT and negative-uncontrollable EFT), delayed time (i.e. 1 week, 1 month, 3 months, 6 months, 1 year and 3 years) and reward magnitude (small, large). We mainly found that when experiencing negative-uncontrollable EFT compared to negative-controllable EFT in the delayed time of 6 months with large rewards, individuals chose more delayed rewards, suggesting that negative-uncontrollable EFT effectively reduced DD under conditions of both large-magnitude reward and longer delayed time. The current study provides new insight for healthy groups on optimising EFT. In that case, individuals are able to gain long-term benefits in financial management and healthcare.

Identification of Nocardioides marmotae sp. nov. and Nocardioides faecalis sp. nov., two new members of the genus Nocardioides.

A polyphasic taxonomic characterization of two novel strain pairs (designated zg-579T/zg-578 and zg-536T/zg-ZUI104) isolated from the faeces of Marmota himalayana was conducted based on phylogenetic analysis of the nearly full-length 16S rRNA gene and genome, digital DNA-DNA hybridization, ortho-average nucleotide identity (Ortho-ANI), and phenotypic and chemotaxonomic traits. Comparative analysis of the nearly full-length 16S rRNA gene sequences showed that strain zg-579T was most closely related to Nocardioides dokdonensis FR1436T (97.57 %) and Nocardioides deserti SC8A-24T (97.36 %), whereas strain zg-536T had the highest similarity to Nocardioides caeni MN8T (98.33 %), Nocardioides convexus W2-2-3T (98.26 %) and Nocardioides daeguensis 2C1-5T (98.19 %). Low levels of DNA-DNA relatedness and Ortho-ANI values (19.8-31.0 %/78.6-88.2 %, zg-579T; 19.9-31.3 %/78.8-86.2 %, zg-536T) between the two new type strains and previously known species within the genus Nocardioides support the hypothesis that the four newly characterized strains could be considered to represent two novel species within this genus. The dominant cellular fatty acids found in strain pair zg-536T/zg-ZUI104 were iso-C16 : 0 and C18 : 1 ω9c, whereas C17 : 1 ω8c was major component in zg-579T/zg-578. Galactose and ribose were the main cell-wall sugars in these two new strain pairs. Diphosphatidylglycerol (DPG), phosphatidylcholine, phosphatidylglycerol (PG) and phosphatidylinositol (PI) were the major polar lipids in zg-579T, whereas DPG, PG and PI predominated in zg-536T. Both strain pairs had MK8(H4) as the major respiratory quinone and ll-diaminopimelic acid as the major cell-wall peptidoglycan. The optimal growth conditions for the two novel strain pairs were 30 °C, pH 7.0 and 0.5 % NaCl (w/v). Based on these polyphasic characterizations, two novel species within the genus Nocardioides are proposed, i.e. Nocardioides marmotae sp. nov. and Nocardioides faecalis sp. nov., with zg-579T (=CGMCC 4.7663T=JCM 33892T) and zg-536T (=CGMCC 4.7662T=JCM 33891T) as the type strains.

Neisseria lisongii sp. nov. and Neisseria yangbaofengii sp. nov., isolated from the respiratory tracts of marmots.

Four Gram-stain-negative, oxidase-positive, non-motile, cocci-shaped bacteria strains (ZJ106T, ZJ104, ZJ785T and ZJ930) were isolated from marmot respiratory tracts. Phylogenetic analyses based on 16S rRNA genes, 53 ribosomal protein sequences and 441 core genes supported that all four strains belonged to the genus Neisseria with close relatives Neisseria weixii 10022T and Neisseria iguanae ATCC 51483T. Average nucleotide identity (ANI) and digital DNA-DNA hybridization (dDDH) values were below the species-level thresholds (95-96 % for ANI, and 70 % for dDDH). The major fatty acids of all four strains were C16 : 1 ω7c /C16 : 1 ω6c, C16 : 0 and C18 : 1 ω9c. Major polar lipids were composed of diphosphatidylglycerol, phosphatidylethanolamine and phosphatidylglycerol. MK-8 was the major menaquinone. Based on Virulence Factor Database analysis, the four strains were found to contain NspA and PorB H-factor binding proteins that promote evasion of host immunity. Strains ZJ106T and ZJ104 contained structures similar to the capsule synthesis manipulator of Neisseria meningitidis. Based on phenotypic and phylogenetic evidence, we propose that strains ZJ106T and ZJ785T represent two novel species of the genus Neisseria, respectively, with the names Neisseria lisongii sp. nov. and Neisseria yangbaofengii sp. nov. The type strains are ZJ106T (=GDMCC 1.3111T=JCM 35323T) and ZJ785T (=GDMCC 1.1998T=KCTC 82336T).

Construction and validation of the Dalian emotional movement open-source set (DEMOS).

Human body movements are important for emotion recognition and social communication and have received extensive attention from researchers. In this field, emotional biological motion stimuli, as depicted by point-light displays, are widely used. However, the number of stimuli in the existing material library is small, and there is a lack of standardized indicators, which subsequently limits experimental design and conduction. Therefore, based on our prior kinematic dataset, we constructed the Dalian Emotional Movement Open-source Set (DEMOS) using computational modeling. The DEMOS has three views (i.e., frontal 0°, left 45°, and left 90°) and in total comprises 2664 high-quality videos of emotional biological motion, each displaying happiness, sadness, anger, fear, disgust, and neutral. All stimuli were validated in terms of recognition accuracy, emotional intensity, and subjective movement. The objective movement for each expression was also calculated. The DEMOS can be downloaded for free from https://osf.io/83fst/ . To our knowledge, this is the largest multi-view emotional biological motion set based on the whole body. The DEMOS can be applied in many fields, including affective computing, social cognition, and psychiatry.

Deep Learning Modeling of Cardiac Arrhythmia Classification on Information Feature Fusion Image with Attention Mechanism.

The electrocardiogram (ECG) is a crucial tool for assessing cardiac health in humans. Aiming to enhance the accuracy of ECG signal classification, a novel approach is proposed based on relative position matrix and deep learning network information features for the classification task in this paper. The approach improves the feature extraction capability and classification accuracy via techniques of image conversion and attention mechanism. In terms of the recognition strategy, this paper presents an image conversion using relative position matrix information. This information is utilized to describe the relative spatial relationships between different waveforms, and the image identification is successfully applied to the Gam-Resnet18 deep learning network model with a transfer learning concept for classification. Ultimately, this model achieved a total accuracy of 99.30%, an average positive prediction rate of 98.76%, a sensitivity of 98.90%, and a specificity of 99.84% with the relative position matrix approach. To evaluate the effectiveness of the proposed method, different image conversion techniques are compared on the test set. The experimental results demonstrate that the relative position matrix information can better reflect the differences between various types of arrhythmias, thereby improving the accuracy and stability of classification.

EEG decoding of multidimensional information from emotional faces.

Humans can detect and recognize faces quickly, but there has been little research on the temporal dynamics of the different dimensional face information that is extracted. The present study aimed to investigate the time course of neural responses to the representation of different dimensional face information, such as age, gender, emotion, and identity. We used support vector machine decoding to obtain representational dissimilarity matrices of event-related potential responses to different faces for each subject over time. In addition, we performed representational similarity analysis with the model representational dissimilarity matrices that contained different dimensional face information. Three significant findings were observed. First, the extraction process of facial emotion occurred before that of facial identity and lasted for a long time, which was specific to the right frontal region. Second, arousal was preferentially extracted before valence during the processing of facial emotional information. Third, different dimensional face information exhibited representational stability during different periods. In conclusion, these findings reveal the precise temporal dynamics of multidimensional information processing in faces and provide powerful support for computational models on emotional face perception.

Individualized Prediction of Females' Empathic Concern from Intrinsic Brain Activity within General Network of State Empathy.

Empathy can be measured based on behavioral tasks and self-report scales, which have been used to characterize the state and trait empathy, respectively, in previous studies. The neural correlates of state empathy have been deeply investigated, whereas the association between trait empathy and brain activity remains unclear. Thus, this study employed multiple variate pattern analysis (MVPA) to explore whether intrinsic brain activity (IBA) within state-empathy-related regions was associated with trait empathy. Meta-analysis of empathy-related fMRI experiments identified a general network underlying state empathy, which is located in the bilateral supplementary motor area (SMA) extending to the middle cingulate cortex (MCC) and left anterior insula (AI) and extending to the inferior frontal gyrus (IFG). The subsequent MVPA found that empathic concern can be predicted through the IBA of the general network at the female individual level (i.e., the fractional amplitude of low-frequency fluctuations and regional homogeneity). Based on the resting state fMRI (rs-fMRI), these results further support the involvement of SMA/MCC and AI/IFG in empathy. Meanwhile, the significant predictive association between IBA and trait empathy offers new insights into the general component of empathy, which may indicate the potential of using rs-fMRI to achieve the objective measurement of empathic ability.

Implicit emotion regulation improves arithmetic performance: An ERP study.

Available evidence suggests that emotions influence arithmetic, and explicit emotion regulation modulates the effect of anxiety on arithmetic performance. However, neural mechanisms by which implicit emotion regulation affects these phenomena remain unclear, particularly under distinct affective priming contexts. Twenty-two college students were required to perform multiple tasks in sequence, including an idioms matching task, a multiplication computational estimation task (MCE task), an emotion judgement task (EJ task), and an emotion assessment task (EA task). Behavioral performance was measured via accuracy and response time during the MCE task, and ratings of the EA task, while eletrophysiological response was measured via the contingent negative variation (CNV) elicited by completing the MCE task. Decreased response time and emotional intensity ratings were observed for priming emotion regulation idioms compared to priming neutral idioms. Priming emotion regulation idioms attenuated early CNV amplitudes under happiness priming, and attenuated both early and late CNV amplitudes under fear priming. These results suggested that implicit reappraisal and suppression are promising strategies to enhance arithmetic performance and alleviate the adverse effects of affective priming, especially under fear priming.

Neurophysiological correlate of incubation of craving in individuals with methamphetamine use disorder.

Previous studies both in laboratory animals and humans have reported that abstinence induces incubation of cue-induced drug craving for nicotine, alcohol, cocaine, and methamphetamine. However, current experimental procedures utilized to study incubation of methamphetamine craving do not incorporate the temporal dynamics of neuropsychological measures and electrophysiological activities associated with this incubation process. This study utilized the high-density electroencephalogram (EEG) signals as a rapid, inexpensive, and noninvasive measure of cue-induced craving potential. A total of 156 male individuals with methamphetamine use disorder (MUD) enrolled in this multisite, cross-sectional study. Structured clinical interview data, self-report questionnaires (cued craving, quality of sleep, impulsivity, anxiety, and depression) and resting-state, eye-closed 128 high-density channel EEG signals were collected at 5 abstinence duration time points (<1, 1-3, 3-6, 6-12, and 12-24 months) to track the neuropsychological and neurophysiological signatures. Cue-induced craving was higher after 1-3 months than after the other time points. This incubation effect was also observed for sleep quality but not for anxiety, depression, and impulsivity symptoms, along with exhibited decreased power spectrum for theta (5.5-8 Hz) and alpha (8-13 Hz), and increased in beta (16.5-26.5 Hz) frequency band. Source reconstructed resting-state EEG analysis showed increased synchronization of medial prefrontal cortex (MPFC) for the beta frequency band in 1-3 months abstinent MUD group, and associated with the incubation of craving. Remarkably, the robust incubation-related abnormalities may be driven by beta-band source space connectivity between MPFC and bilateral orbital gyrus (ORB). Our findings suggest the enhancement of beta activity in the incubation period most likely originates from a dysfunction involving frontal brain regions. This neurophysiological signature of incubation of craving can be used to identify individuals who might be most susceptible to relapse, providing a potential insight into future therapeutic interventions for MUD via neuromodulation of beta activity.

Performance of HDL-C measurements assessed by a 4-year trueness-based EQA/PT program in China.

OBJECTIVES: A trueness-based EQA/PT program for high density lipoprotein cholesterol (HDL-C) was initiated. We analyzed the 4 year EQA/PT program to overview the measurement standardization for HDL-C in China. METHODS: Two levels of freshly frozen, commutable serum external quality assessment/proficiency testing (EQA/PT) materials were prepared and determined by reference measurement procedure each year. The samples were delivered to clinical laboratories and measured 15 times in 3 days. The precision [coefficient of variation (CV)], trueness (bias), and accuracy [total error (TE)] were calculated and used to evaluate measurement performance. The pass rates of individual laboratories and peer groups were analyzed using the acceptable performance from the National Cholesterol Education Program (NCEP) and biological variation as the evaluation criteria. RESULTS: More than 60% of laboratories use heterogeneous systems, and there was a decrease in the percentage from 2016 to 2019. About 95, 78, and 33% of laboratories met the minimum, desirable and optimum TE criteria derived from biological variation. The pass rates were 87.0% (84.7-88.8%), 58.7% (55.3-62.4%), and 97.3% (95.6-98.3%) that met the acceptable performance of TE, bias, and CV of NCEP. The homogeneous systems had higher pass rates of TE, bias, and CV than the heterogeneous groups in 2016, but they did not show apparent advantages in 2017-2019. CONCLUSIONS: The trueness-based EQA/PT program can be used to evaluate the accuracy, reproducibility, and trueness of results. For some IVD manufacturers and individual laboratories, accuracy, especially trueness, are still problems. Efforts should be made to improve the situation and achieve better HDL-C measurement standardization.

Prediction of trust propensity from intrinsic brain morphology and functional connectome.

Trust forms the basis of virtually all interpersonal relationships. Although significant individual differences characterize trust, the driving neuropsychological signatures behind its heterogeneity remain obscure. Here, we applied a prediction framework in two independent samples of healthy participants to examine the relationship between trust propensity and multimodal brain measures. Our multivariate prediction analyses revealed that trust propensity was predicted by gray matter volume and node strength across multiple regions. The gray matter volume of identified regions further enabled the classification of individuals from an independent sample with the propensity to trust or distrust. Our modular and functional decoding analyses showed that the contributing regions were part of three large-scale networks implicated in calculus-based trust strategy, cost-benefit calculation, and trustworthiness inference. These findings do not only deepen our neuropsychological understanding of individual differences in trust propensity, but also provide potential biomarkers in predicting trust impairment in neuropsychiatric disorders.

Emotional valence modulates arithmetic strategy execution in priming paradigm: an event-related potential study.

Combined with the prime paradigm, the present study aimed to explore the influence of emotion (anger, fear, happiness, and neutral) on performing multiplication estimation. Participants were asked to complete a two-digit multiplication estimation task using the down-up strategy (e.g., doing 20 × 80 = 1600 for 24 × 79). Behavioral results showed that the reaction time for completing multiplication estimation tasks under happy conditions was shorter than for those under anger and fear, and it was shorter under neutral than under fearful conditions. The ERP results showed that about 100 ms after multiplication estimation task onset, multiplication estimation execution in the context of happiness (vs. neutral) elicited smaller P1 amplitudes; about 170 ms after multiplication estimation task onset, the N170 amplitudes elicited by multiplication estimation strategy execution under different emotional priming conditions showed no significant differences. The above results showed that the impact of emotion priming demonstrates the occurrence of a dynamic process when participants use a specified strategy to complete the multiplication estimation task. The present study revealed that emotional valence modulated arithmetic strategy execution, suggesting the role of different emotions should be fully considered in similar study.

Low-spatial-frequency information facilitates threat detection in a response-specific manner.

The role of different spatial frequency bands in threat detection has been explored extensively. However, most studies use manual responses and the results are mixed. Here, we aimed to investigate the contribution of spatial frequency information to threat detection by using three response types, including manual responses, eye movements, and reaching movements, together with a priming paradigm. The results showed that both saccade and reaching responses were significantly faster to threatening stimuli than to nonthreatening stimuli when primed by low-spatial-frequency gratings rather than by high-spatial-frequency gratings. However, the manual response times to threatening stimuli were comparable to nonthreatening stimuli, irrespective of the spatial frequency content of the primes. The findings provide clear evidence that low-spatial-frequency information can facilitate threat detection in a response-specific manner, possibly through the subcortical magnocellular pathway dedicated to processing threat-related signals, which is automatically prioritized in the oculomotor system and biases behavior.