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This study examined the efficacy of a probiotic in reducing depressive symptom severity in people with subthreshold depression. In a double-blind, randomised, placebo-controlled trial, a probiotic (1 × 10^9 live cells per strain: Limosilactobacillus fermentum LF16 (DSM26956), Lacticaseibacillus rhamnosus LR06 (DSM21981), Lactiplantibacillus plantarum LP01 (LMG P-21021) and Bifidobacterium longum 04 (DSM23233)) or placebo was taken daily for 12 weeks. Data were collected at baseline, 6 and 12 weeks including psychological symptom severity (Beck Depression Inventory, BDI; Patient Health Questionnaire, PHQ; Hospital Anxiety Depression Scale, HADS; and Depression Anxiety and Stress Scale, DASS). Biomarkers of glycaemia, inflammation (high-sensitivity C-reactive protein, hs-CRP), antioxidant status (total glutathione (GSH)) and stress (cortisol awakening response, CAR) were also measured. Thirty-nine participants (nineteen probiotic; twenty placebo) were enrolled. There were no significant between-group differences in the examined psychological symptom severity scores, despite certain significant within-group changes observed in both groups from baseline to 6 and/or 12 weeks of follow-up. Regarding biomarkers, the probiotic group showed reduced hs-CRP (–1520; 95 % CI –273·7, −2766·2 ng/dl) and CAR (–0·28; 95 % CI −0·05, −0·51 μg/dl) at 12 weeks, but increased total GSH (3·9; 95 % CI 0·1, 7·5 ng/dl) at 6 weeks, compared with the placebo. The current study reported favourable decreases in depressive symptoms in both groups. Although the within-group changes observed in the probiotic group were supported by favourable inflammatory, antioxidant status and stress biomarker changes compared with the placebo, further research is required to shed more light on the role of gut microbiota modulation on emotional regulation.

Increasing transistor integration density and increased power are the significant challenges for designers at lower transistor technology nodes. However, scaling down the transistor leads to the uneven change in threshold voltage with scaled supply voltage, resulting in increased subthreshold conduction. So, there is a need for new materials and architectures to explore the possibility of scaling, keeping subthreshold performance under limit. In this paper, a new heterojunction 10 nm n-channel PZT NC-FinFET with Si-SiGe interface is designed and its performance is evaluated for a low-power digital circuit. The heterojunction formed between Si and SiGe, introducing a 2 nm layer of negative capacitance material over SiO 2, that offers high off-sate potential barrier, results in low leakage current and static power consumption compared to conventional FinFET. The performance of the proposed device is compared with existing FinFET with high-K dielectric in terms of drain current, electric field, channel potential, energy band, transconductance and gate capacitance. The proposed device shows a good switching current ratio I on /I off of 10⁹, high transconductance of 1.73 × 10⁻⁶ A/V, ideal gate capacitance and good control on subthreshold parameters, subthreshold slope (SS) ranging 30.5 mV/dec to 55.54 mV/dec. Further, p-channel NC-FinFET is also explored to check the CMOS compatibility of both n-and p-channel PZT NC-FinFET by matching their drain current characteristics and analysis through using 3D Visual TCAD tool.

According to ICD-10 criteria, mixed anxiety and depressive disorder (MADD) is characterized by co-occurring, subsyndromal symptoms of anxiety and depression, severe enough to justify a psychiatric diagnosis, but neither of which are clearly predominant. MADD appears to be very common, particularly in primary care, although prevalence estimates vary, often depending on the diagnostic criteria applied. It has been associated with similarly pronounced distress, impairment of daily living skills, and reduced health-related quality of life as fully syndromal depression and anxiety. Although about half of the patients affected remit within a year, non-remitting patients are at a high risk of transition to a fully syndromal psychiatric disorder. The validity and clinical usefulness of MADD as a diagnostic category are under debate. It has not been included in the recently released DSM-5 since the proposed diagnostic criteria turned out to be not sufficiently reliable. Moreover, reviewers have disputed the justification of MADD based on divergent results regarding its prevalence and course, diagnostic stability over time, and nosological inconsistencies between subthreshold and threshold presentations of anxiety and depressive disorders. We review the evidence in favor and against MADD and argue that it should be included into classification systems as a diagnostic category because it may enable patients to gain access to appropriate treatment early. This may help to reduce patients’ distress, prevent exacerbation to a more serious psychiatric disorder, and ultimately reduce the societal costs of this very common condition.

Depressive states in both healthy individuals and those with major depressive disorder exhibit differences primarily in symptom severity rather than symptom type, suggesting that there is a spectrum of depressive symptoms. The increasing prevalence of mild depression carries lifelong implications, emphasizing its clinical and social significance, which parallels that of moderate depression. Early intervention and psychotherapy have shown effective outcomes in subthreshold depression. Electroencephalography serves as a non-invasive, powerful tool in depression research, with many studies employing it to discover biomarkers and explore underlying mechanisms for the identification and diagnosis of depression. However, the efficacy of these biomarkers in distinguishing various depressive states in healthy individuals and in understanding the associated mechanisms remains uncertain. In our study, we examined the power spectrum density and the region-based phase-locking value in healthy individuals with various depressive states during their resting state. We found significant differences in neural activity, even among healthy individuals. Participants were categorized into high, middle, and low depressive state groups based on their response to a questionnaire, and eyes-open resting-state electroencephalography was conducted. We observed significant differences among the different depressive state groups in theta- and beta-band power, as well as correlations in the theta–beta ratio in the frontal lobe and phase-locking connections in the frontal, parietal, and temporal lobes. Standardized low-resolution electromagnetic tomography analysis for source localization comparing the differences in resting-state networks among the three depressive state groups showed significant differences in the frontal and temporal lobes. We anticipate that our study will contribute to the development of effective biomarkers for the early detection and prevention of depression.

Subthreshold depression (sDep) and anxiety (sAnx) are common conditions and are associated with significant suffering, impaired functioning, increased healthcare utilisation and economic costs. Furthermore, they are risk factors for crossing the clinical threshold and developing mental health disorders. Subthreshold conditions are associated with long-term conditions (LTCs). This scoping review aimed to explore the identification and management of sDep and sAnx in primary care for patients with LTCs. We conducted a scoping review, following the Joanna Briggs Institute (JBI) Manual for Evidence Synthesis. Medline, PsycInfo, CINAHL and International Pharmaceutical Abstracts were searched for articles prior to September 2023. We included studies written in English that were conducted among the adult population. All studies that aimed to identify and manage sDep and anxiety in patients with LTC in primary care have been included. Thirty-three articles were included in this scoping review, of which seven studies incorporated an intervention component for sDep and sAnx in patients with LTCs. A variety of definitions and screening tools were used to identify sDep and sAnx. Problem-solving therapy (PST) and behavioural activation (BA) were the most common intervention components and showed promising results. We excluded studies that did not explicitly state the terms 'subthreshold', 'subclinical' or 'subsyndromal' depression or anxiety which may be relevant. There is currently limited evidence regarding the identification and management of sDep and sAnx in patients with LTCs, warranting further research.

The incidence of subthreshold depression (StD) in adolescents is growing rapidly, which in turn is known to impair functioning and increase the risk of major depression. It is therefore important to provide effective intervention to prevent the transition from StD to major depression. As a traditional Chinese mind-body exercise, Tai Chi Chuan (TCC) may be an available selection. Researchers have shown the effectiveness of mindfulness-based therapy on depression; however, for the StD youth, there have been no studies to investigate whether mindfulness-based Tai Chi Chuan (MTCC) can be recommended as an effective exercise for improving their psychological state. The aim of present study was to evaluate the effect of MTCC on psychological outcomes of StD adolescents including the depression levels and mindfulness state in a randomized controlled trial (RCT). An RCT was carried out. A sample of 64 participants who meet the inclusion criteria agreed to be arranged randomly to either the MTCC group (n=32) or the control group (n=32). Participants of the MTCC group received an 8-week, 2 days per week, 90-minute MTCC intervention for each session. Usual physical curriculum was administered to the participants in the control group. The effectiveness of MTCC training was measured by blinded evaluators through validated scales, which included depressive symptoms, stress, and mindfulness level before and after the intervention. Significant improvements in psychological health were observed from MTCC groups. After 8-week intervention, superior outcomes were also observed for MTCC when compared with control group for decrease in depression ( =59.482, <0.001) and stress level ( =59.482, <0.001) and increase in mindfulness ( =59.482, <0.001). The findings of this preliminary study indicated the effects of the MTCC intervention on depression level among StD youngsters. This study provides preliminary evidence that MTCC is suitable for Chinese adolescents and is effective in decreasing depression level.

Depression has been shown to negatively impact neurocognitive functions, particularly those governed by fronto-subcortical networks, such as executive functions. Converging evidence suggests that depression-related executive dysfunction is greater at older ages, however, this has not been previously confirmed by meta-analysis. We performed a systematic review and meta-analysis, using three-level models, on peer-reviewed studies that examined depression-related differences in cognitive control in healthy community-dwelling individuals of any age. We focused on studies of cognitive control as defined by the National Institute of Mental Health (NIMH) Research Domain Criteria (RDoC) framework, which centers on goal-directed behavior, such as goal selection (updating, representations, maintenance), response selection (inhibition or suppression), and performance monitoring. In 16,806 participants aged 7 to 97 across 76 studies, both clinical depression and subthreshold depressive symptoms were associated with cognitive control deficits (Hedges’ g = -0.31). This relationship was stronger in study samples with an older mean age. Within studies with a mean age of 39 years or higher, which represents the median age in our analyses, the relationship was stronger in clinical compared to subthreshold depression and in individuals taking antidepressant medication. These findings highlight the importance of clinicians screening for cognitive control dysfunction in patients with depression, particularly in later stages of adulthood.

Therapists have discussed for a long time whether attempts to voluntarily suppress the intrusion of trauma memories are helpful to combat the distressing impacts of trauma. Mary et al. studied survivors of the 2015 Paris terrorist attacks who developed posttraumatic stress disorder and those who did not (see the Perspective by Ersche). Using functional magnetic resonance imaging, they investigated the neural networks underlying the control and suppression of memory retrieval. The results suggest that the characteristic symptoms of the disorder are not related to the memory itself but to its maladaptive control. These results offer new insights into the development of post-traumatic stress disorder and potential avenues for treatment. Science , this issue p. eaay8477 ; see also p. 734 A brain imaging study of survivors of the 2015 Paris terror attacks suggests that memory suppression shields against posttraumatic stress disorder. In the aftermath of trauma, little is known about why the unwanted and unbidden recollection of traumatic memories persists in some individuals but not others. We implemented neutral and inoffensive intrusive memories in the laboratory in a group of 102 individuals exposed to the 2015 Paris terrorist attacks and 73 nonexposed individuals, who were not in Paris during the attacks. While reexperiencing these intrusive memories, nonexposed individuals and exposed individuals without posttraumatic stress disorder (PTSD) could adaptively suppress memory activity, but exposed individuals with PTSD could not. These findings suggest that the capacity to suppress memory is central to positive posttraumatic adaptation. A generalized disruption of the memory control system could explain the maladaptive and unsuccessful suppression attempts often seen in PTSD, and this disruption should be targeted by specific treatments.

In the frontline of the pandemic stand healthcare workers and public service providers, occupations which have proven to be associated with increased mental health problems during pandemic crises. This cross-sectional, survey-based study collected data from 1773 healthcare workers and public service providers throughout Norway between March 31, 2020 and April 7, 2020, which encompasses a timeframe where all non-pharmacological interventions (NPIs) were held constant. Post-traumatic stress disorder (PTSD), anxiety and depression were assessed by the Norwegian version of the PTSD checklist (PCL-5), General Anxiety Disorder -7, and Patient Health Questionnaire-9 (PHQ-9), respectively. Health anxiety and specific predictors were assessed with specific items. Multiple regression analysis was used for predictor analysis. A total of 28.9% of the sample had clinical or subclinical symptoms of PTSD, and 21.2% and 20.5% were above the established cut-offs for anxiety and depression. Those working directly in contrast to indirectly with COVID-19 patients had significantly higher PTSD symptoms. Worries about job and economy, negative metacognitions, burnout, health anxiety and emotional support were significantly associated with PTSD symptoms, after controlling for demographic variables and psychological symptoms. Health workers and public service providers are experiencing high levels of PTSD symptoms, anxiety and depression during the COVID-19 pandemic. Health workers working directly with COVID-19 patients have significantly higher levels of PTSD symptoms and depression compared to those working indirectly. Appropriate action to monitor and reduce PTSD, anxiety, and depression among these groups of individuals working in the frontline of pandemic with crucial societal roles should be taken immediately.

This paper introduces a physical unclonable function (PUF) based on a differential array of minimum-sized PMOS devices. Each response bit is obtained by comparing the two analog outputs of the differential array through a dynamic comparator with a trimmable offset. This offset is effectively used to mask potentially unstable response bits. To further improve PUF reliability, spatial majority voting is also implemented, resulting in a near-zero (<3.12 × 10[sup.−9]) bit error rate (BER) at 1.2 V and 25 °C. Under variations in supply voltage (0.8–1.3 V) and temperature (0–75 °C), the native bit error rate of 3.5% is reduced to 9.73 × 10[sup.−4] after stabilization, consuming only 1.37 pJ per output bit.