Your browser doesn't support javascript.
loading
Mostrar: 20 | 50 | 100
Resultados 1 - 20 de 140
Filtrar
1.
Front Psychiatry ; 12: 725740, 2021.
Artigo em Inglês | MEDLINE | ID: mdl-34744819

RESUMO

Background: Academic burnout has been associated with problematic smartphone use. However, the mechanism underlying this relation has been inadequately explored during the COVID-19 pandemic. Materials and Methods: A total of 748 Chinese undergraduate students were recruited in the study who were measured with their levels of academic burnout, anxiety, resilience, and problematic smartphone use. Results: Our study showed that academic burnout significantly predicted problematic smartphone use both directly and indirectly via anxiety. By constructing a moderated mediation model, our study found that resilience moderated the direct impact and the second half of the indirect path (between anxiety and problematic smartphone use); however, with the moderation effects of resilience, both the indirect impact of academic burnout on problematic smartphone use via anxiety became insignificant. Conclusions: Our findings brought additional evidence on the association between academic burnout and problematic smartphone use and significantly suggested the potential solution to alleviate the influences.

2.
Front Psychiatry ; 12: 707181, 2021.
Artigo em Inglês | MEDLINE | ID: mdl-34721098

RESUMO

Background: The association between emotion reactivity (ER) and suicide risk has been confirmed in recent studies, especially in patients with depression. However, there is a lack of understanding of the underlying mechanism of the relation from ER to suicide risk among patients with depression. This study planned to examine a model of how ER, non-suicidal self-injury (NSSI), and childhood neglect (CN) interact to affect suicide risk in depressed patients. Methods: Four hundred and ninety-six patients (64.5% female, mean age = 30.40 years, SD = 12.56) who have accomplished self-rating instruments of ER, NSSI, CN, and suicide risk were included. Results: Findings showed that ER was positively connected with suicide risk, and NSSI partially mediated the above connection. Besides, CN moderated the mediation model, that is, the mediation effect was more pronounced in depressed patients with CN compared to depressed patients without CN. Conclusions: It was concluded that there is a relationship among ER, NSSI, CN, and suicide risk in patients with depression, and it strengthens our knowledge of the mechanism behind suicide risk. Our findings emphasize that the identification of NSSI and CN should be considered when assessing the suicide risk of patients with depression, as well as the intervention focus on emotion regulation and support for patients.

3.
Insect Biochem Mol Biol ; 139: 103665, 2021 12.
Artigo em Inglês | MEDLINE | ID: mdl-34624466

RESUMO

The black cutworm (BCW), Agrotis ipsilon, is a worldwide polyphagous and underground pest that causes a high level of economic loss to a wide range of crops through the damage of roots. This species performs non-directed migration throughout East and Southeast Asia seasonally. Lack of a genome information has limited further studies on its unique biology and the development of novel management approaches. In this study, we present a 476 Mb de novo assembly of BCW, along with a consensus gene set of 14,801 protein-coding gene models. Quality controls show that both genome assembly and annotations are high-quality and mostly complete. We focus manual annotation and comparative genomics on gene families that related to the unique attributes of this species, such as nocturnality, long-distance migration, and host adaptation. We find that the BCW genome encodes a similar gene repertoire in various migration-related gene families to the diural migratory butterfly Danaus plexiipus, with additional copies of long wavelength opsin and two eye development-related genes. On the other hand, we find that the genomes of BCW and many other polyphagous lepidopterans encode many more gustatory receptor genes, particularly the lineage-specific expanded bitter receptor genes, than the mono- or oligo-phagous species, suggesting a common role of gustatory receptors (GRs) expansion in host range expansion. The availability of a BCW genome provides valuable resources to study the molecular mechanisms of non-directed migration in lepidopteran pests and to develop novel strategies to control migratory nocturnal pests.

4.
J Affect Disord ; 298(Pt A): 43-50, 2021 Oct 27.
Artigo em Inglês | MEDLINE | ID: mdl-34715198

RESUMO

BACKGROUND: Distinguishing bipolar depressive disorder (BDD) from major depressive disorder (MDD) solely relying on clinical clues is a challenge. Evidence in neuroimaging have revealed potential neurological markers for the differential diagnosis. METHODS: We aimed to characterize common and specific alterations in the dynamic local functional connectivity pattern in BDD and MDD by using the dynamic regional phase synchrony (DRePS), a newly developed method for assessing intrinsic dynamic local functional connectivity. A total of 98 patients with MDD and 56 patients with BDD patients, and 97 age-, gender-, and education-matched healthy controls (HC) were included and underwent the resting-state functional magnetic resonance imaging. RESULTS: Compared with HC, patients with two disorders shared decreased DRePS value in the bilateral orbitofrontal cortex (OFC) extends to insula, the right insula extends to hippocampus, the left hippocampus, the right inferior frontal gyrus (IFG), the left thalamus extends to caudate, the right caudate, the bilateral superior frontal gyrus (SFG), and the right medial frontal gyrus (MFG). Furthermore, patients with MDD exhibited specific decreased DRePS value in the left caudate. Moreover, voxel signals in these regions during the support vector machine analysis contributed to the classification of the two diagnoses. CONCLUSIONS: Our findings provided new insight into the neural mechanism of patients with MDD and BDD and could potentially inform the diagnosis and the treatment of this disease.

5.
Neuropsychologia ; 163: 108057, 2021 Oct 12.
Artigo em Inglês | MEDLINE | ID: mdl-34653495

RESUMO

The present study investigated the effect of an imminent fearful stimulus on an ongoing temporal task. Participants judged the duration of a blank temporal interval followed by a fearful or a neutral image. Results showed an underestimation of the duration in the fearful condition relative to the neutral condition, but only when the occurrence of the fearful image was difficult to predict. ERPs results for the blank temporal interval found no effect of the fearful stimulus on the contingent negative variation (CNV) amplitude in the clock stage. However, after the image onset, there was a larger P1 for the fearful relative to the neutral condition. Although this effect was indistinguishable regardless of whether the fearful event could be easily predicted, a late positive potential (LPP) component displayed larger amplitude only for unpredictable fearful stimuli. The time-frequency results showed enhanced delta-theta power (0.5-7.5 Hz) for the unpredictable fearful stimuli in the late stage. Importantly, the enhanced delta-theta rhythm correlated negatively with the duration judgments. Together, these results suggest that an unpredictable fearful event might divert more attention away from the counting process in the working memory stage, resulting in missing ticks and temporal underestimation.

6.
J Affect Disord ; 295: 422-430, 2021 12 01.
Artigo em Inglês | MEDLINE | ID: mdl-34507222

RESUMO

BACKGROUND: The prefrontal-limbic-subcortical network has been suggested as an important circuitry in the pathophysiology underlying bipolar disorder during depressive episodes (BDD). However, the relationships between disrupted prefrontal-limbic-subcortical connection and the emotional endophenotypes in BDD patients remain largely unclear. METHODS: Forty-three BDD patients and 63 matched healthy controls (HCs) underwent the resting-state functional magnetic resonance imaging scan. The altered clusters were first identified by using a spatial pairwise clustering method and then were extracted as regions of interest to calculate the functional connectivity (FC). Group comparisons were conducted to identify the abnormal FCs. Classification analysis was employed to examine whether the altered FCs could distinguish BDD from HCs. The relationships between FC alterations and the emotional endophenotypes as measured by the Affective Neuroscience Personality Scales (ANPS) were further detected in BDD. RESULTS: Compared with HCs, BDD patients showed abnormal FCs in the prefrontal-limbic-striatum circuit. Importantly, the altered FCs yielded 84.91% accuracy (p< 1/5000) with 93.65% sensitivity and 72.09% specificity in differentiating between BDD and HCs. Moreover, the decreased FCs in the prefrontal-striatum and prefrontal-limbic systems were positively correlated with negative emotional endophenotypes of Sadness and Fear scores. CONCLUSIONS: The findings demonstrated that prefrontal-limbic-striatum disconnection may be identified as a potential effective biomarker for BDD, which could help further explain the neurobiological mechanisms underlying BDD.


Assuntos
Transtorno Bipolar , Transtorno Depressivo Maior , Transtorno Bipolar/diagnóstico por imagem , Corpo Estriado , Transtorno Depressivo Maior/diagnóstico por imagem , Endofenótipos , Humanos , Sistema Límbico/diagnóstico por imagem , Imageamento por Ressonância Magnética
7.
Artigo em Inglês | MEDLINE | ID: mdl-34567208

RESUMO

Objective: To evaluate the different pharmacokinetic parameters of the DCE-MRI method on diagnosing and staging of rabbits' liver fibrosis. Methods: We had performed DCE-MRI for rabbits that had been divided into the experiment group and the control group. Then, rabbits' images were transferred to a work station to get three parameters such as K trans, K ep, and V e, which had been measured to calculate. After data were analyzed, ROC analyses were performed to assess the diagnostic performance of K trans, K ep, and V e to judge liver fibrosis. Results: The distribution of the different liver fibrosis group was as follows: F1, n = 8; F2, n = 9; F3, n = 6; F4, n = 5. No fibrosis was deemed as F0, n = 6. K ep is statistically significant (P < 0.05) for F0 and mild liver fibrosis stage, and the K ep shows AUC of 0.814. Three parameters are statistically significant for F0 and advanced liver fibrosis stage (K trans and K ep, P < 0.01; V e, P < 0.05), and the K trans shows AUC of 0.924; the K ep shows AUC of 0.909; the V e shows AUC of 0.848; K trans and K ep are statistically significant for mild and advanced liver fibrosis stages (K trans, P < 0.01; K ep, P < 0.05), and the K trans shows AUC of 0.840; the K ep shows AUC of 0.765. Both K trans and K ep are negatively correlated with the liver fibrosis stage. V e is positively correlated with the liver fibrosis stage. Conclusion: K trans is shown to be the best DCE parameter to distinguish the fibrotic liver from the normal liver and mild and advanced fibrosis. On the contrary, K ep is moderate and V e is worst. And K ep is a good DCE parameter to differentiate mild fibrosis from the normal liver.

8.
Neuroimage ; 243: 118497, 2021 11.
Artigo em Inglês | MEDLINE | ID: mdl-34428571

RESUMO

The dynamic architecture of the human brain has been consistently observed. However, there is still limited modeling work to elucidate how neuronal circuits are hierarchically and flexibly organized in functional systems. Here we proposed a reachable probability approach based on non-homogeneous Markov chains, to characterize all possible connectivity flows and the hierarchical structure of brain functional systems at the dynamic level. We proved at the theoretical level the convergence of the functional brain network system, and demonstrated that this approach is able to detect network steady states across connectivity structure, particularly in areas of the default mode network. We further explored the dynamically hierarchical functional organization centered at the primary sensory cortices. We observed smaller optimal reachable steps to their local functional regions, and differentiated patterns in larger optimal reachable steps for primary perceptual modalities. The reachable paths with the largest and second largest transition probabilities between primary sensory seeds via multisensory integration regions were also tracked to explore the flexibility and plasticity of the multisensory integration. The present work provides a novel approach to depict both the stable and flexible hierarchical connectivity organization of the human brain.

9.
Eur J Pharmacol ; 908: 174360, 2021 Oct 05.
Artigo em Inglês | MEDLINE | ID: mdl-34302817

RESUMO

In this study, we analyzed the mechanism of hydroxysafflor yellow A (HSYA) for treating ischemic stroke (IS) based on network pharmacology tools, and verified the kernel targets via animal experiments. The targets of HSYA were collected via PharmMapper server and the IS-related targets were searched using Genecards, Online Mendelian Inheritance in Man, Therapeutic Target, and Disgenet databases. The targets identified from the above two steps were overlapped to acquire candidate targets involved in the effects of HSYA for treating IS. Subsequently, the Database for Annotation, Visualization, and Integrated Discovery was used for gene ontology analysis and the Kyoto encyclopedia of genes and genomes pathway analysis. Cytoscape 3.7.1 was applied to establish the component-target-pathway network. Potential core targets were obtained by protein-protein interaction analysis. Furthermore, Autodock Vina was used to identify core genes, and animal experiments was used to verify the expression level of core genes. On the basis of the modified neurologic severity score and the results of 2,3,5-Triphenyltetrazolium chloride and Hematoxylin-eosin staining, we confirmed that HSYA reduced the infarct volume in rats and protected neuronal cells in the hippocampal region after IS. Western blot and immunohistochemical staining showed that HSYA increased the expression of epidermal growth factor receptor, hypoxia inducible factor 1 alpha, and endothelial nitric oxide synthase (P < 0.05). The effects of HSYA on IS are mediated through several targets and pathways related to the regulation of oxidative stress and the renewal of cell and blood vessels while improving post-ischemic brain impairment.

10.
Artigo em Inglês | MEDLINE | ID: mdl-34111495

RESUMO

Coupling between neuronal activity and blood perfusion is termed neurovascular coupling, and it provides a new mechanistic perspective into understanding numerous brain diseases. Although abnormal brain activity and blood supply have been separately reported in generalized anxiety disorder (GAD), whether anomalous neurovascular coupling would still be presented in such disease is hitherto unknown. In this study, the neuronal activity and blood supply were measured using the functional connectivity strength (FCS) and cerebral blood flow (CBF). The voxel-wise CBF-FCS correlations and CBF/FCS ratio were separately used to assess global and local neurovascular coupling in participants. Patients with GAD showed decreased voxel-wise CBF-FCS correlation, implicating global neurovascular decoupling. They also exhibited increased CBF/FCS ratio in the right superior parietal gyrus (SPG), and the enhanced CBF/FCS ratio in this region was negatively correlated with the self-esteem scores of GAD. The abnormal neurovascular coupling of GAD may indicate the disrupted balance between the intrinsic functional organization of the brain and corresponding blood perfusion of patients, and the abnormally increased local neurovascular coupling of the right SPG may be correlated with the abnormal self in GAD. These findings provide new information in understanding the brain dysfunction and abnormal cognition of GAD from the perspective of neurovascular coupling.

11.
IEEE Trans Neural Netw Learn Syst ; 32(12): 5427-5434, 2021 Dec.
Artigo em Inglês | MEDLINE | ID: mdl-34125688

RESUMO

For systems with irregular (asymmetric and positively-negatively alternating) constraints being imposed/removed during system operation, there is no uniformly applicable control method. In this work, a control design framework is established for uncertain pure-feedback systems subject to the aforementioned constraints. By introducing a novel transformation function and with the help of auxiliary constraining boundaries, the original output-constrained system is augmented to unconstrained one. Unknown nonlinearity is approximated by neural networks (NNs) with not only neural weight updating but also activation online adjustment. The resultant control scheme is able to deal with constraints imposed or removed at some time moments during system operation without the need for altering control structure. When applied to high-speed trains, the developed control scheme ensures position tracking under speed constraints, simulation demands, and confirms the effectiveness of the proposed method.

12.
J Affect Disord ; 289: 151-159, 2021 06 15.
Artigo em Inglês | MEDLINE | ID: mdl-33984685

RESUMO

BACKGROUND: Bipolar disorder is a common psychiatric disorder characterized by insufficient or ineffective connections associated with white-matter (WM) abnormalities. Previous studies have detected the structural attributes of WM using magnetic resonance imaging (MRI) or diffusion tensor imaging, however, they failed to disentangle the dysfunctional organization within the WM. METHODS: This study aimed to uncover the WM functional connectivity (FC) in 45 bipolar disorder patients during depressive episodes (BDD) and 45 healthy controls based on resting-state functional MRI. Eight WM functional networks were identified by using a clustering analysis of voxel-based correlation profiles, which were further classified into superficial, middle and deep layers of networks. RESULTS: Group comparisons on the FCs among 8 WM networks showed that the superficial tempofrontal network (TFN) in BDD patients had increased FC with the superficial cerebellar network (CN) and with the superficial pre/post-central network (PCN). Further, support vector regression prediction analysis results revealed that the increased FCs of CN-TFN and PCN-TFN could be served as features to predict the numbers of depressive episode in BDD patients. CONCLUSIONS: The current study extended our knowledge about the impaired WM functional connections associated with emotional and sensory-motor perception processing in BDD, which may facilitate the interpretation of the pathophysiology mechanisms underlying BDD.


Assuntos
Transtorno Bipolar , Substância Branca , Transtorno Bipolar/diagnóstico por imagem , Cognição , Imagem de Tensor de Difusão , Humanos , Imageamento por Ressonância Magnética , Substância Branca/diagnóstico por imagem
13.
Sci Total Environ ; 772: 145501, 2021 Jun 10.
Artigo em Inglês | MEDLINE | ID: mdl-33571770

RESUMO

Construction of circumlittoral shelter forest is of great significance to maintain ecological security of coastal zones, the safety of people's lives and property in the Yellow River Delta (YRD) in China. Tamarix chinensis-grass patterns have shown obvious advantages in construction of circumlittoral shelter forest and improving the soil quality of coastal saline soil. This study aimed to explore the soil-improving effects of various Tamarix chinensis-grass community patterns and identify the best vegetation pattern for improving the soil quality in the coastal saline-alkali land. Six kinds of Tamarix chinensis-grass community patterns were selected from the saline-alkali soil of the YRD, with bare land as the control. Effects of different Tamarix chinensis-grass patterns on the coastal saline soil were evaluated using statistical methods (e.g. principal component analysis and fuzzy membership function method). The results showed that various Tamarix chinensis-grass community patterns significantly decreased the salt contents and increased the available nutrient contents in the coastal saline-alkali soil. The soil improvement effects showed obvious distinctions among the different Tamarix chinensis-grass patterns. The mixed forest-grass pattern consisting of Tamarix chinensis, Phragmites australis, and other salt-resistant grasses showed the best effects in relation to reducing salt, preventing alkalization and increasing the soil nutrients, which resulted in the lowest salt contents and the highest nutrients. Grass species play a major role in increasing soil nutrient contents, and the density of new Tamarix chinensis forest contributes greatly to the decrease of soil salt. And the more kinds of grass species are, the better improvement effects they will have. Therefore, during the construction of the circumlittoral shelter forest system in the muddy coastal zone of the YRD, it is recommended to prioritize the high density Tamarix chinensis-Phragmites australis (TPA) community pattern, and live together with other kinds of salt-resistant grasses.


Assuntos
Tamaricaceae , China , Humanos , Poaceae , Rios , Solo
14.
Bull Environ Contam Toxicol ; 106(1): 225-234, 2021 Jan.
Artigo em Inglês | MEDLINE | ID: mdl-33462648

RESUMO

To understand the health impact represented by exposure to current atmospheric pollution in China, an environmental health indicators (EHIs) system of atmospheric pollution was established. The EHIs were based on comprehensive consideration of environment, population, economy and diseases associated with atmospheric pollution. An EHIs evaluation system of atmospheric pollution, based on corresponding EHIs data collection and weighting coefficients determined using principal component analysis, was applied to major provinces and regions in China to evaluate the environmental health status. Results showed that the EHIs of atmospheric pollution in Central and East China were low, indicating a serious environmental health condition. Prevention and management of atmospheric pollution in these regions should be strengthened and protective measures taken to improve human health. Compared with other methods, the EHIs evaluation system was more intuitive, which facilitated users to identify the environmental health status and provided support for health management and pollution prevention.


Assuntos
Saúde Ambiental , Poluição Ambiental , China , Monitoramento Ambiental , Humanos
15.
Brain Imaging Behav ; 15(3): 1323-1334, 2021 Jun.
Artigo em Inglês | MEDLINE | ID: mdl-32748323

RESUMO

Until now, knowledge about the effects of motor training on the temporal dynamics of the brain functional organization is still limited. Here we combined dynamic functional connectivity density (dFCD) mapping and k-means clustering analyses to explore how early and advanced stages of motor training affected the brain dynamic FC architecture and dynamic states in little-ball athletes using resting-state functional magnetic resonance imaging (fMRI) data of student-athletes (SA), elite athletes (EA) and non-athlete healthy controls (NC). The ANOVA analysis demonstrated the levels of dFCD variability in the EA group had the trend to regress to the NC group levels in all statistically significant regions. Specifically, the brain regions responsible for the basic motor and sensory innervations showed more stabilized dFCD variability in EA and NC compared with SA. The results supported the idea of a stronger efficiency of functional networks and an automation process of new motor skills in EA. Furthermore, EA and NC had the increased dFCD variability in brain regions responsible for top-down visual-motor control compared with SA; while EA exhibited more flexible alterations in FCD status levels and the equilibrium probability in the long run compared with SA and NC. This suggested that regions involved in higher functions of visual-motor control exhibited more flexibility in functional regulation with other brain networks in EA. Our findings suggested the diversity and specialization of fluctuating dynamic brain adaption induced by motor training in different training stages, and highlighted the effect of motor training stages on brain functional adaption.


Assuntos
Imageamento por Ressonância Magnética , Tênis , Atletas , Encéfalo/diagnóstico por imagem , Mapeamento Encefálico , Humanos
16.
IEEE Trans Neural Netw Learn Syst ; 32(8): 3391-3400, 2021 Aug.
Artigo em Inglês | MEDLINE | ID: mdl-32078565

RESUMO

Many manufacturing systems not only involve nonlinearities and nonvanishing disturbances but also are subject to actuation failures and multiple yet possibly conflicting objectives, making the underlying control problem interesting and challenging. In this article, we present a neuroadaptive fault-tolerant control solution capable of addressing those factors concurrently. To cope with the multiple objective constraints, we propose a method to accommodate these multiple objectives in such a way that they are all confined in certain range, distinguishing itself from the traditional method that seeks for a common optimum (which might not even exist due to the complicated and conflicting objective requirement) for all the objective functions. By introducing a novel barrier function, we convert the system under multiple constraints into one without constraints, allowing for the nonconstrained control algorithms to be derived accordingly. The system uncertainties and the unknown actuation failures are dealt with by using the deep-rooted information-based method. Furthermore, by utilizing a transformed signal as the initial filter input, we integrate dynamic surface control (DSC) into backstepping design to eliminate the feasibility conditions completely and avoid off-line parameter optimization. It is shown that, with the proposed neuroadaptive control scheme, not only stable system operation is maintained but also each objective function is confined within the prespecified region, which could be asymmetric and time-varying. The effectiveness of the algorithm is validated via simulation on speed regulation of extruding machine in tire production lines.

17.
IEEE Trans Neural Netw Learn Syst ; 32(4): 1418-1432, 2021 04.
Artigo em Inglês | MEDLINE | ID: mdl-32340961

RESUMO

With the rapid development from traditional machine learning (ML) to deep learning (DL) and reinforcement learning (RL), dialog system equipped with learning mechanism has become the most effective solution to address human-machine interaction problems. The purpose of this article is to provide a comprehensive survey on learning-based human-machine dialog systems with a focus on the various dialog models. More specifically, we first introduce the fundamental process of establishing a dialog model. Second, we examine the features and classifications of the system dialog model, expound some representative models, and also compare the advantages and disadvantages of different dialog models. Third, we comb the commonly used database and evaluation metrics of the dialog model. Furthermore, the evaluation metrics of these dialog models are analyzed in detail. Finally, we briefly analyze the existing issues and point out the potential future direction on the human-machine dialog systems.

18.
Sci Total Environ ; 759: 143482, 2021 Mar 10.
Artigo em Inglês | MEDLINE | ID: mdl-33261878

RESUMO

Soil microplastic pollution has caused widespread research attention worldwide. It is necessary to efficiently separate microplastic particles from soil matrixes in order to conduct studies of microplastic. And so far, few studies have described the separation and extraction devices of biodegradable microplastic. Here we present a commonly available device for extraction of non-degradable and biodegradable microplastics from soil samples in a NaBr solution based on density flotation. The device has a combined circulation and recovery system for the salt solution, which increases its environmental-friendliness. The accuracy and precision of the device was verified through spike and recovery experiments using three types of biodegradable microplastics (PBS, PBAT, PLA) and four types of non-degradable microplastics (LDPE, PS, PP, PVC), all with different particle sizes, and all microplastics are grinded autonomously, closer to reality. In despite of differences in particle size and density, for both biodegradable and non-degradable microplastics the device exhibited good extraction precision, with recovery rates ranging from 92% to 99.6%, over a wide range of particle densities and sizes. The recovery rates slightly increased with increased polymer density and microplastic particle size.

19.
J Affect Disord ; 281: 856-864, 2021 02 15.
Artigo em Inglês | MEDLINE | ID: mdl-33229020

RESUMO

BACKGROUND: Default mode network (DMN) has been widely reported to be altered in bipolar disorder during major depressive episode (BDD). Recent studies supported the idea that DMN is not an unitary system, but composed of smaller and distinct functional subsystems. The current study aimed to investigate the abnormal functional connectivity (FC) patterns of DMN subsystems in BDD. METHODS: Seed-based FC method was applied to extract 11 DMN components in resting-state functional magnetic resonance imaging data acquired from 40 patients with BDD and 63 demographically matched healthy controls. RESULTS: Patients showed reduced FC between precuneus and all three DMN subsystems. Additionally, in the midline core, patients revealed increased FC between posterior cingutate cortex (PCC) seed and lateral orbitofrontal cortex. In the dorsomedial prefrontal cortex and medial temporal lobe subsystems, patients demonstrated increased FC with sensorimotor, visual, and salience network regions. Furthermore, the abnormal FC between the PCC seed and precuneus was correlated with high pessimism. LIMITATIONS: Our sample size is relatively small, limiting the power to detect subtle group differences and significant correlations between brain connectivity and clinical variables. In addition, most of our patients have been treated with medications. CONCLUSION: Our findings revealed the abnormal FC patterns of DMN subdivision circuits and highlighted these abnormalities were associated the pathological mechanisms in BDD.


Assuntos
Transtorno Bipolar , Transtorno Depressivo Maior , Transtorno Bipolar/diagnóstico por imagem , Encéfalo/diagnóstico por imagem , Mapeamento Encefálico , Córtex Cerebral/diagnóstico por imagem , Rede de Modo Padrão , Transtorno Depressivo Maior/diagnóstico por imagem , Humanos , Imageamento por Ressonância Magnética , Vias Neurais/diagnóstico por imagem
20.
Sci Total Environ ; 756: 143801, 2021 Feb 20.
Artigo em Inglês | MEDLINE | ID: mdl-33307496

RESUMO

Soil salinization and nutrient deficiency have emerged as the major factors negatively impacting soil quality and primary productivity in the coastal saline-alkali soil of the Yellow River Delta. Biochar has been proposed as an efficient strategy for promoting plant growth and restoring degraded saline-alkali soil. However, knowledge is inadequate regarding the effects of adding Spartina alterniflora-derived biochar alone or in combination with effective microorganisms (EM) on the growth of Sesbania cannabina and soil quality in saline-alkali soil. To enhance this knowledge, a pot experiment with different EM treatments (without EM addition, EM-; with EM addition, EM+) and a gradient of biochar treatments (0%, B0; 0.5%, B1; 1.5%, B2; and 3%, B3; biochar weight/soil weight) was conducted. Our results showed that biochar addition alone and in combination with EM significantly increased seed germination, plant height, stem diameter, total biomass and plant nutrient uptake of S. cannabina. Biochar addition, EM addition and their interaction significantly decreased soil salt content efficiently and increased soil total carbon (TC), total nitrogen (TN), available phosphorus (AP) and available potassium (AK) but had little effect on soil pH. Biochar addition increased soil organic carbon, soil NH4+ and NO3-, microbial biomass carbon, and soil enzyme activities and these effects increased in strength when biochar and EM were present simultaneously. Of the treatments, the EM + B3 treatment had the largest effects in terms of inhibiting salinization, increasing soil fertility, elevating soil nutrients and enzyme activities, and improving plant growth. Moreover, the application of biochar and EM promoted the growth of S. cannabina by enhancing plant nutrient uptake, improving soil fertility (e.g., TN, AP, AK, NH4+ and NO3-), and elevating soil enzyme activities (urease and alkaline phosphatase activity). Overall, the integrated use of an appropriate biochar rate (3%) and EM for coastal saline-alkali soil could be an effective strategy to ameliorate soil salinity, improve soil quality and promote plant productivity.


Assuntos
Sesbania , Solo , Álcalis , Carbono , Carvão Vegetal , China , Nitrogênio , Rios
SELEÇÃO DE REFERÊNCIAS
DETALHE DA PESQUISA
...