Mindfulness trait and the potential mediating role of emotional regulation strategies in bipolar disorder / Mindfulness rasgo y el potencial papel mediador de las estrategias de regulación emocional en el trastorno bipolar

En este estudio transversal se investiga la asociación entre los principales síntomas del Trastorno bipolar (TB) y las dificultades asociadas a las estrategias de regulación emocional (ERE) adaptativas y desadaptativas. Además, este estudio examina los efectos mediadores de las ERE con el mindfulness rasgo y el TB. Método. Veinticuatro adultos con TB completaron la Escala de Conciencia de Atención Plena (MAAS), el Inventario de Depresión de Beck (BDI-II), la Escala de Autoevaluación de Manía de Altman (ARSM), el Inventario de Ansiedad Rasgo (STAI-R), y el Cuestionario de Regulación Emocional Cognitiva (CERQ). Resultados. El análisis de regresión múltiple mostró cómo la depresión se relacionaba significativa y positivamente con la autoculpabilización, mientras que la ansiedad rasgo estaba positivamente asociada con la autoculpabilización y el catastrofismo. En segundo lugar, el análisis de mediación mostró un efecto de mediación significativo para la autoculpabilidad en la relación entre mindfulness y depresión (a*b = -.15; ICB 95% [-.36, -.03]) y entre mindfulness y ansiedad rasgo (a*b = -.09; ICB 95% [-.27, -.01]). Conclusiones. Nuestros resultados informan del papel de la auto-culpabilidad y el catastrofismo en el TB y de cómo éstas podrían mediar significativamente entre el mindfulness rasgo y el TB. Estos resultados sugieren que una práctica de meditación enfocada en el catastrofismo y la autoculpabilidad puede ser especialmente útil para reducir los síntomas en los pacientes bipolares.(AU)

This cross-sectional study investigates the association between the main symptoms of Bipolar disorder (BD) and emotional regulation dif-ficulties in adaptive and maladaptive emotional regulation strategies (ERS). In addition, this study examines the possible mediating effects of ERS with dispositional mindfulnessand bipolar symptoms. Method.Twenty-four adults diagnosed with BD completed the Mindful Attention Awareness Scale (MAAS), the Beck Depression Inventory (BDI-II), the Altman Mania Self-Assessment Scale (ARSM), the Trait Anxiety Inventory (STAI-R), and the Cognitive Emotional Regulation Questionnaire (CERQ). Results. First, mul-tiple regression analysis showed how depression was significantly positively related to self-blame, whereas trait anxietywas positively associated with self-blame and catastrophizing. Second, the results of the mediation analy-sis have shown a significant mediation effect for the self-blamein the rela-tionship between mindfulnessand depression (a*b = -.15; BCI 95% [-.36, -.03]) and between mindfulnessand trait anxiety (a*b = -.09; BCI 95% [-.27, -.01]). Conclusions. Our results report the role of self-blame and catastrophiz-ing in BD and how these might significantly mediate between dispositional mindfulness and symptoms of depression and anxiety. These results suggest that a meditation practice focused on reducing catastrophizing and self-blame may be especially helpful for symptoms of depression and anxiety in bipolar patients.(AU)

A Nationwide Target Trial Emulation Assessing the Risk of Antidepressant-Induced Mania Among Patients With Bipolar Depression.

OBJECTIVE: Antidepressants are commonly used to treat bipolar depression but may increase the risk of mania. The evidence from randomized controlled trials, however, is limited by short treatment durations, providing little evidence for the long-term risk of antidepressant-induced mania. The authors performed a target trial emulation to compare the risk of mania among individuals with bipolar depression treated or not treated with antidepressants over a 1-year period. METHODS: The authors emulated a target trial using observational data from nationwide Danish health registers. The study included 979 individuals with bipolar depression recently discharged from a psychiatric ward. Of these, 358 individuals received antidepressant treatment, and 621 did not. The occurrence of mania and bipolar depression over the following year was ascertained, and the intention-to-treat effect of antidepressants was analyzed by using Cox proportional hazards regression with adjustment for baseline covariates to emulate randomized open-label treatment allocation. RESULTS: The fully adjusted analyses revealed no statistically significant associations between treatment with an antidepressant and the risk of mania in the full sample (hazard rate ratio=1.08, 95% CI=0.72-1.61), in the subsample concomitantly treated with a mood-stabilizing agent (hazard rate ratio=1.16, 95% CI=0.63-2.13), and in the subsample not treated with a mood-stabilizing agent (hazard rate ratio=1.16, 95% CI=0.65-2.07). Secondary analyses revealed no statistically significant association between treatment with an antidepressant and bipolar depression recurrence. CONCLUSIONS: These findings suggest that the risk of antidepressant-induced mania is negligible and call for further studies to optimize treatment strategies for individuals with bipolar depression.

The Relationship between SNAP25 and Some Common Human Neurological Syndromes.

Over the years, research on the pathogenesis of neurological diseases has progressed slowly worldwide. However, as the incidence rate continues to increase and the disease gradually develops, early diagnosis and treatment have become a top priority. SANP25, a protein present on the presynaptic membrane and involved in neurotransmitter release, is closely related to the loss or abnormal expression of synapses and neurons. SNAP25 deficiency can lead to synaptic disorders and inhibit neurotransmitter release. Therefore, a large amount of literature believes that SNAP25 gene mutation is a risk factor for many neurological diseases. This review used advanced search on PubMed to conduct extensive article searches for relevant literature. The search keywords included SNAP25 and Alzheimer's disease, SNAP25 and Parkinson's disease, and so on. After reading and summarizing the previous papers, the corresponding conclusions were obtained to achieve the purpose of the review. The deficiency or variation of SNAP25 might be related to the onset of schizophrenia, epilepsy, attention deficit/hypoactivity disorder, bipolar disorder effective disorder, and autism. SNAP25 has been found to be used as a neuropathological marker for neurological diseases, which could be the target of diagnosis or treatment of Alzheimer's disease and Parkinson's disease. Cerebrospinal Fluid (CSF) or blood has been found to enable more effective drug development.

Adherence to clinical practice guidelines for using electroconvulsive therapy in elderly depressive patients.

OBJECTIVES: Electroconvulsive therapy (ECT) is one of the most effective treatments in mood disorders, mainly in major depressive episode (MDE) in the context of either unipolar (MDD) or bipolar disorder (BD). However, ECT remains a neglected and underused treatment. Older people are at high risk patients for the development of adverse drug reactions. In this context, we sought to determine the duration of MDEs and the number of lines of treatment before the initiation of ECT in patients aged 65 years or over according to the presence or absence of first-line indications for using ECT from international guidelines. METHODS: In this multicenter, retrospective study including patients aged 65 years or over with MDEs in MDD or BD who have been treated with ECT for MDEs, data on the duration of MDEs and the number of lines of treatment received before ECT were collected. The reasons for using ECT, specifically first-line indications (suicidality, urgency, presence of catatonic and psychotic features, previous ECT response, patient preference) were recorded. Statistical comparisons between groups used standard statistical tests. RESULTS: We identified 335 patients. The mean duration of MDEs before ECT was about 9 months. It was significantly shorter in BD than in MDD- about 7 and 10 months, respectively. The co-occurrence of chronic medical disease increased the duration before ECT in the MDD group. The presence of first-line indications for using ECT from guidelines did not reduce the duration of MDEs before ECT, except where there was a previous response to ECT. The first-line indications reduced the number of lines of treatment before starting ECT. CONCLUSION: Even if ECT seems to be a key treatment in the elderly population due to its efficacity and safety for MDEs, the delay before this treatment is still too long.

Carbon Nanotubes as Controllable Electric-Field-Induced Bipolar Electrodes for Efficient Water Purification.

Advanced oxidation processes (AOPs) are the most efficient water cleaning technologies, but their applications face critical challenges in terms of mass/electron transfer limitations and catalyst loss/deactivation. Bipolar electrochemistry (BPE) is a wireless technique that is promising for energy and environmental applications. However, the synergy between AOPs and BPE has not been explored. In this study, by combining BPE with AOPs, we develop a general approach of using carbon nanotubes (CNTs) as electric-field-induced bipolar electrodes to control electron transfer for efficient water purification. This approach can be used for permanganate and peroxide activation, with superior performances in the degradation of refractory organic pollutants and excellent durability in recycling and scale-up experiments. Theoretical calculations, in situ measurements, and physical experiments showed that an electric field could substantially reduce the energy barrier of electron transfer over CNTs and induce them to produce bipolar electrodes via electrochemical polarization or to form monopolar electrodes through a single particle collision effect with feeding electrodes. This approach can continuously provide activated electrons from one pole of bipolar electrodes and simultaneously achieve "self-cleaning" of catalysts through CNT-mediated direct oxidation from another pole of bipolar electrodes. This study provides a fundamental scientific understanding of BPE, expands its scope in the environmental field, and offers a general methodology for water purification.

Illness and narrative identity: examining past and future life story chapters in individuals with bipolar disorder, diabetes mellitus or no chronic illness.

The purpose of this study was to investigate whether narrative identity challenges are specific to Bipolar Disorder (BD) as a mental illness or a reflection of living with chronic illness. Nineteen individuals diagnosed with BD, 29 individuals diagnosed with Type 1 Diabetes Mellitus (T1DM) and 25 controls without chronic mental or somatic illness identified past and future life story chapters which were self-rated on emotional tone and self-event connections and content-coded for agency and communion themes. Individuals with BD self-rated their past chapters as more negative and less positive, and their chapters were lower on content-coded agency and communion themes compared to T1DM and controls. There were fewer group differences for future chapters, but BD was associated with lower self-rated positive emotional tone and self-stability connections as well as lower content-coded agency and communion themes. The results indicate that narrative identity is affected in individuals with BD above and beyond the consequences of living with chronic illness. This may reflect distinct effects of mental versus somatic illness on narrative identity.

Bipolar Textile Composite Electrodes Enabling Flexible Tandem Solid-State Lithium Metal Batteries.

A majority of flexible and wearable electronics require high operational voltage that is conventionally achieved by serial connection of battery unit cells using external wires. However, this inevitably decreases the energy density of the battery module and may cause additional safety hazards. Herein, a bipolar textile composite electrode (BTCE) that enables internal tandem-stacking configuration to yield high-voltage (6 to 12 V class) solid-state lithium metal batteries (SSLMBs) is reported. BTCE is comprised of a nickel-coated poly(ethylene terephthalate) fabric (NiPET) core layer, a cathode coated on one side of the NiPET, and a Li metal anode coated on the other side of the NiPET. Stacking BTCEs with solid-state electrolytes alternatively leads to the extension of output voltage and decreased usage of inert package materials, which in turn significantly boosts the energy density of the battery. More importantly, the BTCE-based SSLMB possesses remarkable capacity retention per cycle of over 99.98% over cycling. The composite structure of BTCE also enables outstanding flexibility; the battery keeps stable charge/discharge characteristics over thousands of bending and folding. BTCE shows great promise for future safe, high-energy-density, and flexible SSLMBs for a wide range of flexible and wearable electronics.

Trends in managing femoral neck fractures with arthroplasty in the ≥ 50 years age group.

Objective: To know about the trends in the management of neck of femur fractures with arthroplasty in patients ≥ 50 years. Methods: It is a retrospective cross-sectional study with data collection from Hospital Management Information System from 1st January 2020 to 31st July 2023. SPSS version 25 was used for data analysis. Mean & standard deviation was reported for quantitative variable & frequency and proportion were reported for qualitative variables. The cross- tabulations were performed to evaluate the association between the variables. Results: Total number of patients in this study was 305. Mean age was 67.80 ± 10.5 SD. Male to female ratio was 150:155. Co-morbidities were found in 126 patients. The surgical options used were Austin Moore prosthesis (64), Cemented Bipolar (36), Hybrid Total Hip Replacement (7), Non-cemented Total Hip Replacement (86), Cemented Total Hip Replacement (32), Uncemented Bipolar (71). Garden Type-2 fracture was noted in 33 patients, Type-3 in 170 patients and Type-4 in 87 patients. Cemented stem was used in 74 patients while 222 patients had non-cemented stem. Conclusion: One quarter of the patients had cemented stem implanted compared to three quarter of the patients who had non-cemented stem.

Closed Bipolar Nanoelectrode Array for Ultra-Sensitive Detection of Alkaline Phosphatase and Two-Dimensional Imaging of Epidermal Growth Factor Receptors.

The combination of closed bipolar electrodes (cBPE) with electrochemiluminescence (ECL) imaging has demonstrated remarkable capabilities in the field of bioanalysis. Here, we established a cBPE-ECL platform for ultrasensitive detection of alkaline phosphatase (ALP) and two-dimensional imaging of epidermal growth factor receptor (EGFR). This cBPE-ECL system consists of a high-density gold nanowire array in anodic aluminum oxide (AAO) membrane as the cBPE coupled with ECL of highly luminescent cadmium selenide quantum dots (CdSe QDs) luminophores to achieve cathodic electro-optical conversion. When an enzyme-catalyzed amplification effect of ALP with 4-aminophenyl phosphate monosodium salt hydrate (p-APP) as the substrate and 4-aminophenol (p-AP) as the electroactive probe is introduced, a significant improvement of sensing sensitivity with a detection limit as low as 0.5 fM for ALP on the cBPE-ECL platform can be obtained. In addition, the cBPE-ECL sensing system can also be used to detect cancer cells with an impressive detection limit of 50 cells/mL by labeling ALP onto the EGFR protein on A431 human epidermal cancer cell membranes. Thus, two-dimensional (2D) imaging of the EGFR proteins on the cell surface can be achieved, demonstrating that the established cBPE-ECL sensing system is of high resolution for spatiotemporal cell imaging.

Wafer scale WS2 based ultrafast photosensing and memory computing devices for neuromorphic computing.

Integration of optical sensors with a memristors can establish the bridge between photosensing devices and memory devices for Internet of Things (IoT) applications. This paper presents the realization of integrated sensing and computing memory (ISCM) devices using tungsten disulfide (WS2) and their application for neuromorphic computing. The ISCM device fabrication process is scalable as microfabrication steps followed on 2" wafer, ISCM device testing and image classification for neuromorphic computing. The photosensing/memory tests were conducted using electrical and optical stimulations (broadband spectrum). The fabricated photosensing device offers a higher responsivity (8 A/W), higher detectivity (2.85✕1011 Jones) and fast response speed (80.2/78.3 µs) at 950 nm. The memory device has shown a set/reset time of 51.6/73.5 µs respectively. Further, the repeatability, stability and reproducibility tests were conducted by stimulating the device with different modulating frequencies. The frequency modulation tests confirm that the ISCM devices are stable and perfect candidate for real-time IoT applications. Moreover, the device's potentiation and depression results were used for image classification with the accuracy of 98.27%. These demonstrated device's test results provide possibilities to fabricate the smart sensors with integrated functionalities.

Research on In-Plane Thermal Conductivity Detection of Fuel Cell Bipolar Plates Based on Laser Thermography.

The thermal properties of bipolar plates, being key elements of polymer electrolyte membrane fuel cells, significantly affect their heat conduction and management. This study employed an innovative approach known as a heat flow loop integral method to experimentally assess the in-plane thermal conductivity of graphite bipolar plates, addressing the constraints of traditional methods that have strict demands for thermal stimulation, boundary or initial conditions, and sample size. This method employs infrared thermal imaging to gather information from the surface temperature field of the sample, which is induced by laser stimulation. An enclosed test loop on the infrared image of the sample's surface, situated between the heat source and the sample's boundary, is utilized to calculate the in-plane heat flow density by integrating the temperature at the sampling locations on the loop and the in-plane thermal conductivity can be determined based on Fourier's law of heat conduction. The numerical simulation analysis of the graphite models and the experimental tests with aluminum have confirmed the precision and practicality of this method. The results of 1060 aluminum and 6061 aluminum samples, each 1 and 2 mm in thickness, show a deviation between the reference and actual measurements of the in-plane thermal conductivity within 4.3% and repeatability within 2.7%. Using the loop integral method, the in-plane thermal conductivities of three graphite bipolar plates with thicknesses of 0.5 mm, 1 mm, and 1.5 mm were tested, resulting in 311.98 W(m·K)-1, 314.41 W(m·K)-1, and 323.48 W(m·K)-1, with repeatabilities of 0.9%, 3.0%, and 2.0%, respectively. A comparison with the reference value from the simulation model for graphite bipolar plates with the same thickness showed a deviation of 4.7%. The test results for three different thicknesses of graphite bipolar plates show a repeatability of 2.6%, indicating the high consistency and reliability of this measurement method. Consequently, as a supplement to existing technology, this method can achieve a rapid and nondestructive measurement of materials such as graphite bipolar plates' in-plane thermal conductivity.

Sensor-Assisted Analysis of Autonomic and Cerebrovascular Dysregulation following Concussion in an Individual with a History of Ten Concussions: A Case Study.

INTRODUCTION: Concussion is known to cause transient autonomic and cerebrovascular dysregulation that generally recovers; however, few studies have focused on individuals with an extensive concussion history. METHOD: The case was a 26-year-old male with a history of 10 concussions, diagnosed for bipolar type II disorder, mild attention-deficit hyperactivity disorder, and a history of migraines/headaches. The case was medicated with Valproic Acid and Escitalopram. Sensor-based baseline data were collected within six months of his injury and on days 1-5, 10, and 14 post-injury. Symptom reporting, heart rate variability (HRV), neurovascular coupling (NVC), and dynamic cerebral autoregulation (dCA) assessments were completed using numerous biomedical devices (i.e., transcranial Doppler ultrasound, 3-lead electrocardiography, finger photoplethysmography). RESULTS: Total symptom and symptom severity scores were higher for the first-week post-injury, with physical and emotional symptoms being the most impacted. The NVC response showed lowered activation in the first three days post-injury, while autonomic (HRV) and autoregulation (dCA) were impaired across all testing visits occurring in the first 14 days following his concussion. CONCLUSIONS: Despite symptom resolution, the case demonstrated ongoing autonomic and autoregulatory dysfunction. Larger samples examining individuals with an extensive history of concussion are warranted to understand the chronic physiological changes that occur following cumulative concussions through biosensing devices.

Cognitive reserve and cognition in mood disorders: A systematic review and meta-analysis.

Cognitive functioning heterogeneity is a well-recognized phenomenon in individuals diagnosed with mood disorders. Cognitive Reserve (CR) has been linked to multiple positive outcomes, including cognitive performance in these patients. This systematic review and meta-analysis aim to provide a comprehensive analysis of the relationship between CR and cognitive functioning in individuals with mood disorders, including bipolar disorder and depressive disorders. Following PRISMA guidelines, a systematic review and meta-analysis was conducted of original research exploring the relationship between CR and cognitive performance in adult individuals with mood disorders. The literature search was conducted on PubMed, Scopus, and Web of Science, from 2002 to September 2023, and the Newcastle-Ottawa Scale (NOS) was used to evaluate the quality of studies. Overall, 17 studies met the inclusion criteria for the systematic review and 11 for the meta-analysis. Both qualitative and quantitative findings suggested a positive relationship between CR measures and cognitive domains. CR emerges as a possible protective factor for cognitive functioning in adult individuals with mood disorders, potentially helping to mitigate the cognitive impairments associated with the disorder. These findings underscore the importance of the fact that promoting and enhancing CR could help in the cognitive prognosis of this population.

Mitochondrial Biomarkers and Metabolic Syndrome in Bipolar Disorder.

The object of this study is test whether mitochondrial blood-based biomarkers are associated with markers of metabolic syndrome in bipolar disorder, hypothesizing higher lactate but unchanged cell-free circulating mitochondrial DNA levels in bipolar disorder patients with metabolic syndrome. In a cohort study, primary testing from the FondaMental Advanced Centers of Expertise for bipolar disorder (FACE-BD) was conducted, including 837 stable bipolar disorder patients. The I-GIVE validation cohort consists of 237 participants: stable and acute bipolar patients, non-psychiatric controls, and acute schizophrenia patients. Multivariable regression analyses show significant lactate association with triglycerides, fasting glucose and systolic and diastolic blood pressure. Significantly higher levels of lactate were associated with presence of metabolic syndrome after adjusting for potential confounding factors. Mitochondrial-targeted metabolomics identified distinct metabolite profiles in patients with lactate presence and metabolic syndrome, differing from those without lactate changes but with metabolic syndrome. Circulating cell-free mitochondrial DNA was not associated with metabolic syndrome. This thorough analysis mitochondrial biomarkers indicate the associations with lactate and metabolic syndrome, while showing the mitochondrial metabolites can further stratify metabolic profiles in patients with BD. This study is relevant to improve the identification and stratification of bipolar patients with metabolic syndrome and provide potential personalized-therapeutic opportunities.

Bipolar electrochemical sensor with perylene diimide-based cathodic luminophore for dopamine detection and imaging.

Bipolar electrochemical microscopy (BEM), which visualizes the concentration distribution of molecular species in biological systems by electrochemiluminescence (ECL), is expected to be applied to the high-spatiotemporal-resolution imaging of biomolecules, enabling the analysis of cellular functions. In the past, the molecular species that could be imaged by BEM were generally restricted to oxidized molecules due to the limitation derived from the ECL mechanism of the luminophore. Recently, the imaging of dopamine (DA), a reduced molecule, was achieved using Ru (bpy)32+/glutathione disulfide (GSSG) as a cathodic luminophore. However, a large driving voltage was required for ECL generation, resulting in a low S/N ratio. In this study, we employed N,N'-dimethyl-3,4,9,10-perylenetetracarboxylic diimide (PDI-CH3)/potassium peroxodisulfate (K2S2O8), which is a cathodic luminophore that can be reduced at a nobler potential to produce ECL than [Ru(bpy)3]2+/GSSG. First, the ECL mechanism of PDI-CH3/K2S2O8 was elucidated by using a PDI-CH3 drop-cast glassy carbon electrode (GCE) immersed in K2S2O8 solution as the working electrode in a 3-electrode system. The PDI-CH3 drop-casted GCE, a single closed bipolar electrode (c-BPE), was used as the cathode in the successful quantification of 50-500 µmol L-1 DA in a sample chamber in which a c-BPE anode was immersed, resulting in a high S/N. The selective detection of DA in the presence of ascorbic acid was achieved by modifying the anode with Nafion. Finally, DA imaging was demonstrated using a commercially available anisotropic conducting film with PDI-CH3 coating on the cathode surface as a c-BPE array. The change in the concentration distribution in the inflow of DA was successfully imaged based on the change in the ECL intensity at the c-BPE cathode. This BEM system is expected to be useful for DA imaging of the brain.

A new model of electrosurgical tissue damage for neurosurgery simulation.

BACKGROUND: Bipolar hemostasis electrocoagulation is a fundamental procedure in neurosurgery. A precise electrocoagulation model is essential to enable realistic visual feedback in virtual neurosurgical simulation. However, existing models lack an accurate description of the heat damage and irreversible tissue deformation caused by electrocoagulation, thus diminishing the visual realism. This work focuses on the electrocoagulation model for neurosurgery simulation. METHOD: In this paper, a position-based dynamics (PBD) model with a bioheat transfer and damage prediction (BHTDP) method is developed for simulating the deformation of brain tissue caused by electrocoagulation. The presented BTHDP method uses the Arrhenius equation to predict thermal damage of brain tissue. A deformation model with energy and thermal damage constraints is developed to characterize soft tissue deformation during heat absorption before and after thermal injury. Visual effect of damaged brain tissue is re-rendered. RESULT: To evaluate the accuracy of the proposed method, numerical simulations were conducted and compared with commercial finite element software. The maximum normalized error of the proposed model for predicting midpoint temperature is 10.3 % and the maximum error for predicting the thermal damage is 5.4 %. The contraction effects of heat-exposed anisotropic tissues are also simulated. The results indicate that the presented electrocoagulation model provides stable and realistic visual effects, making it applicable for simulating the electrocoagulation process in virtual neurosurgery.