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Evidence suggests the crucial role of dysfunctional default mode (DMN), salience and frontoparietal (FPN) networks, collectively termed the triple network model, in the pathophysiology of treatment-resistant depression (TRD).
Aims
Using the graph theory- and seed-based functional connectivity analyses, we attempted to elucidate the role of low-dose ketamine in the triple networks, namely the DMN, salience and FPN.
Method
Resting-state functional connectivity magnetic resonance imaging (rs–fcMRI) data derived from two previous clinical trials of a single, low-dose ketamine infusion were analysed. In clinical trial 1 (Trial 1), patients with TRD were randomised to either a ketamine or normal saline group, while in clinical trial 2 (Trial 2) those patients with TRD and pronounced suicidal symptoms received a single infusion of either 0.05 mg/kg ketamine or 0.045 mg/kg midazolam. All participants underwent rs–fcMRI pre and post infusion at Day 3. Both graph theory- and seed-based functional connectivity analyses were performed independently.
Results
Trial 1 demonstrated significant group-by-time effects on the degree centrality and cluster coefficient in the right posterior cingulate cortex (PCC) cortex ventral 23a and b (DMN) and the cluster coefficient in the right supramarginal gyrus perisylvian language (salience). Trial 2 found a significant group-by-time effect on the characteristic path length in the left PCC 7Am (DMN). In addition, both ketamine and normal saline infusions exerted a time effect on the cluster coefficient in the right dorsolateral prefrontal cortex a9-46v (FPN) in Trial 1.
Conclusions
These findings may support the utility of the triple-network model in elucidating ketamine’s antidepressant effect. Alterations in DMN, salience and FPN function may underlie this effect.
Cognitive impairment is common in late-life depression, which may increase Alzheimer disease (AD) risk. Therefore, we aimed to investigate whether late-life major depressive disorder (MDD) has worse cognition and increases the characteristic AD neuropathology. Furthermore, we carried out a comparison between treatment-resistant depression (TRD) and non-TRD. We hypothesized that patients with late-life depression and TRD may have increased β-amyloid (Aβ) deposits in brain regions responsible for global cognition.
Methods
We recruited 81 subjects, including 54 MDD patients (27 TRD and 27 non-TRD) and 27 matched healthy controls (HCs). Neurocognitive tasks were examined, including Mini-Mental State Examination and Montreal Cognitive Assessment to detect global cognitive functions. PET with Pittsburgh compound-B and fluorodeoxyglucose were used to capture brain Aβ pathology and glucose use, respectively, in some patients.
Results
MDD patients performed worse in Montreal Cognitive Assessment (p = 0.003) and had more Aβ deposits than HCs across the brain (family-wise error-corrected p < 0.001), with the most significant finding in the left middle frontal gyrus. Significant negative correlations between global cognition and prefrontal Aβ deposits existed in MDD patients, whereas positive correlations were noted in HCs. TRD patients had significantly more deposits in the left-sided brain regions (corrected p < 0.001). The findings were not explained by APOE genotypes. No between-group fluorodeoxyglucose difference was detected.
Conclusions
Late-life depression, particularly TRD, had increased brain Aβ deposits and showed vulnerability to Aβ deposits. A detrimental role of Aβ deposits in global cognition in patients with late-onset or non-late-onset MDD supported the theory that late-life MDD could be a risk factor for AD.
Few studies have explored the complex relationship of pro- and anti-inflammatory cytokines with cognitive function in adolescents with first-episode schizophrenia, bipolar disorder, or major depressive disorder.
Methods
In total, 26, 35, and 29 adolescents with first-episode schizophrenia, bipolar disorder, and major depressive disorder, respectively, and 22 age- and sex-matched controls were included in the current study. Cytokines, namely interleukin (IL)-2, IL-6, tumor necrosis factor (TNF)-α, and C-reactive protein (CRP), were assessed. The Wisconsin Card Sorting Test (WCST) and the working memory task were administered to assess cognitive function.
Results
Using generalized linear models with adjustment for demographic data and clinical symptoms, patients with bipolar disorder were found to exhibit the highest levels of CRP (P = .023), IL-6 (P = .022), and TNF-α (P = .011), and had the lowest IL-2 levels (P = .034) among the four groups. According to the results of the WCST and working memory task, adolescents with schizophrenia exhibited the lowest performance in cognitive function. In addition, among the assessed cytokines, only CRP levels (P = .027) were negatively associated with WCST scores.
Discussion
Dysregulated pro- and anti-inflammatory cytokines and impaired cognitive functioning were observed in first-episode adolescent-onset schizophrenia, bipolar disorder, and major depressive disorder. The altered cytokine profiles may play important roles in the pathophysiology of schizophrenia, bipolar disorder, and major depressive disorder.
In this article, we discuss the backgrounds and technical details about several smart manufacturing projects in a tier-one electronics manufacturing facility. We devise a process to manage logistic forecast and inventory preparation for electronic parts using historical data and a recurrent neural network to achieve significant improvement over current methods. We present a system for automatically qualifying laptop software for mass production through computer vision and automation technology. The result is a reliable system that can save hundreds of man-years in the qualification process. Finally, we create a deep learning-based algorithm for visual inspection of product appearances, which requires significantly less defect training data compared to traditional approaches. For production needs, we design an automatic optical inspection machine suitable for our algorithm and process. We also discuss the issues for data collection and enabling smart manufacturing projects in a factory setting, where the projects operate on a delicate balance between process innovations and cost-saving measures.
This article gives an overview of the Local Gazetteers Research Tools (LoGaRT), including its development, technical features, methodology, and examples of research applications by members of the Tu 圖 working group. The use of LoGaRT is illustrated with four brief introductions to projects that draw on visual materials from the local gazetteers, including ritual-related illustrations, city layout maps, and maps with western cartographic features. See the websites for more detailed information on LoGaRT and other research projects using it.1
This paper focuses on the historical politics of disaster records in Chinese local gazetteers (difangzhi 地方志). Using records of mulberry crop failures as examples, the authors ask how gazetteer editors collated Yuan disaster records—initially collected to help prevent disasters and authorize the legitimacy of dynastic rule—in gazetteers and, in so doing, made them into ‘local’ knowledge. Digital humanities methods allow for both qualitative and quantitative analyses, and the authors deploy them to demonstrate how, in structured texts like the Chinese local gazetteers, they could help combine close reading of specific sections and larger-scale analysis of regional patterns. In the first part, the authors show how disasters were recorded in a Yuan Zhenjiang gazetteer to facilitate taxation and disaster prevention locally—a strategy rarely traceable in subsequent gazetteers until the Qing. In the second part, the authors shifted their perspective to the historical accumulation of data and what that reveals about the reception of Yuan disasters: whereas local gazetteers from the north generate long chronologies of mulberry disasters from the Ming to the Qing, others depict the south as disaster-free.
Studies have suggested the detrimental effects of obesity and systemic inflammation on the cognitive function of patients with bipolar or major depressive disorder. However, the complex associations between affective disorder, obesity, systemic inflammation, and cognitive dysfunction remain unclear.
Methods
Overall, 110 patients with affective disorder (59 with bipolar I disorder and 51 with major depressive disorder) who scored ≥61 on the Global Assessment of Functioning and 51 age- and sex-matched controls were enrolled. Body mass index ≥25 kg/m2 was defined as obesity or overweight. Levels of proinflammatory cytokines—including interleukin-6, tumor necrosis factor (TNF)-α, and C-reactive protein (CRP)—were measured, and cognitive function was assessed using various methods, including the Wisconsin Card Sorting Test (WCST) and go/no-go task.
Results
Patients with bipolar I disorder or major depressive disorder were more likely to be obese or overweight, had higher CRP and TNF-α levels, and had greater executive dysfunction in the WCST than the controls. TNF-α level (P < .05) but not affective disorder diagnosis or obesity/overweight was significantly associated with cognitive function deficits, although obesity/overweight and diagnosis were significantly associated with increased TNF-α level.
Conclusions
Our findings may indicate that proinflammatory cytokines, but not obesity or overweight, have crucial effects on cognitive function in patients with bipolar I disorder or major depressive disorder, although proinflammatory cytokines and obesity or overweight were found to be strongly associated. The complex relationships between affective disorder diagnosis, proinflammatory cytokine levels, obesity or overweight, and cognitive function require further investigation.
The antidepressant effect of low-dose ketamine infusion on Taiwanese patients with anxious vs nonanxious treatment-resistant depression (ANX-TRD vs NANX-TRD) has remained unknown.
Methods
In total, 71 patients with TRD were randomized to three groups. Each group had participants who received saline infusions mixed with 0 (a normal saline infusion), 0.2, and 0.5 mg/kg of ketamine. Participants were followed up for 2 weeks. Anxious depression was defined as major depressive disorder with a total score of 7 or more on the 17-item Hamilton Depression Rating Scale Anxiety-Somatization factor. Generalized estimating equation models were used to investigate the effects of treatment (ketamine vs placebo) and depression type (ANX-TRD vs NANX-TRD) in the reduction of depressive symptoms during the follow-up period.
Results
Patients with ANX-TRD were less likely to respond to a single low-dose ketamine infusion than those with NANX-TRD. Among patients with NANX-TRD, low-dose ketamine infusion was significantly superior to placebo for reducing depressive symptoms. However, among patients with ANX-TRD, ketamine was not superior to placebo; nonetheless, approximately 30% of the patients responded to ketamine infusion compared to 13% who responded to the placebo.
Conclusions
Low-dose ketamine infusion was effective for Taiwanese patients with NANX-TRD but not so effective for those with ANX-TRD. A higher level of anxiety severity accompanying depression was related to greater depression severity. This may confound and reduce the antidepressant effect of ketamine infusion.
This paper explores the concept of knowledge networks in order to disclose how firms are able to increase innovative performance as a result of network structure and network content, which concern how firms connect with network partners (network structure), what the essence of exchange is for firms to acquire knowledge in the network (knowledge heterogeneity), and why firms need to cooperate with others (knowledge cognition). By using a sample of 144 high-technology firms in Taiwan’s science parks to test the hypotheses, the results of this study show that, while network structures do impact on a firm’s innovative performance, access to heterogeneous knowledge and increasing a firm’s knowledge in terms of defining and recognizing novel knowledge should be considered, since both play critical roles in facilitating innovative performance. These findings suggest that knowledge flow through a firm’s relationships must be understood in terms of network structure and content.
It is common for patients to experience positive and negative psychological changes (e.g., posttraumatic growth or demoralization) after being diagnosed with cancer. Although demoralization and posttraumatic growth are both related to meaning-making, little attention has been paid to the associations among these concepts. The current study investigated the relationship between demoralization, posttraumatic growth, and meaning-making (focusing on sense-making and benefit-finding during the experience of illness) in cancer patients.
Method:
Some 200 cancer patients (with lung cancer, lymphoma, or leukemia) at the MacKay Memorial Hospital in New Taipei completed the Demoralization Scale–Mandarin Version (DS–MV), the Chinese Posttraumatic Growth Inventory (CPTGI), and a self-designed questionnaire for assessing sense-making and benefit-finding.
Results:
Demoralization was negatively correlated with posttraumatic growth, sense-making, benefit-finding, and time-since-diagnosis. Multiple regression analysis showed that meaning-making had different effects on demoralization and posttraumatic growth. The interactions of sense-making with either benefit-finding or time-since-diagnosis significantly predicted demoralization. Individuals with relatively higher sense-making and benefit-finding or shorter time-since-diagnosis experienced less demoralization.
Significance of Results:
The suffering of cancer may turn on the psychological process of demoralization, posttraumatic growth, and meaning-making in patients. Cancer patients who evidenced higher posttraumatic growth experienced less demoralization. Trying to identify positive changes in the experience of cancer may be a powerful way to increase posttraumatic growth. As time goes by, patients experienced less demoralization. Facilitating sense-making can have similar effects. Cancer patients with less benefit-finding experience higher demoralization, but sense-making buffers this effect.
We report herein the crystal growth of ZnO nanoparticles by the foam fractionation method. In this study, the vertical column height of the foam was fixed and the velocity of the sparging air was varied, and the effect of foam flow rate on the synthesis of ZnO was investigated. The obtained ZnO consisted of aggregated platelets and had differing ultraviolet absorbances. The as-synthesized ZnO was hydrophobic because of the interaction between the anionic head groups of sodium dodecyl sulfate (SDS) and the ZnO under the precipitation conditions. The long chain of the SDS molecule was the cause of hydrophobicity. The contact angle of water was in the range of 95–105° for the obtained ZnO/SDS surface. The photocatalytic degradation efficiency of the as-synthesized (ZnO/SDS) and the calcined ZnO was investigated for methylene blue, and the calcined ZnO retained its activity even after three recycles.
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