Search Results (10)

Transcranial direct current stimulation (tDCS) can modulate cortical excitability in a polarity-specific manner, yet identical protocols often produce inconsistent outcomes across sessions or individuals. This narrative review proposes that much of this variability arises from the brain’s intrinsic temporal landscape. Integrating evidence from chronobiology, sleep research, and non-invasive brain stimulation, we argue that tDCS produces reliable, polarity-specific after-effects only within a circadian–homeostatic “window of efficacy”. On the circadian (Process C) axis, intrinsic alertness, membrane depolarisation, and glutamatergic gain rise in the late biological morning and early evening, whereas pre-dawn phases are marked by reduced excitability and heightened inhibition. On the homeostatic (Process S) axis, consolidated sleep renormalises synaptic weights, widening the capacity for further potentiation, whereas prolonged wakefulness saturates plasticity and can even reverse the usual anodal/cathodal polarity rules. Human stimulation studies mirror this two-process fingerprint: sleep deprivation abolishes anodal long-term-potentiation-like effects and converts cathodal inhibition into facilitation, while stimulating at each participant’s chronotype-aligned (phase-aligned) peak time amplifies and prolongs after-effects even under equal sleep pressure. From these observations we derive practical recommendations: (i) schedule excitatory tDCS after restorative sleep and near the individual wake-maintenance zone; (ii) avoid sessions at high sleep pressure or circadian troughs; (iii) log melatonin phase, chronotype, recent sleep and, where feasible, core temperature; and (iv) consider mild pre-heating or time-restricted feeding as physiological primers. By viewing Borbély’s two-process model and allied metabolic clocks as adjustable knobs for plasticity engineering, this review provides a conceptual scaffold for personalised, time-sensitive tDCS protocols that could improve reproducibility in research and therapeutic gain in the clinic. Full article

The most common aftereffect of severe burns in patients is hypertrophic scarring. Hypertrophic scars typically form following severe burns; it refers to excessive collagen production in the dermal layer during the healing process, resulting in an abnormal raised scar. Currently, practical treatments for suppressing hypertrophic scars include laser therapy, pressure therapy, and the application of silicone sheets for moisture retention. The most extensively used treatment involves compression therapy using specially designed garments for the affected areas. However, this method has limitations when applied to curved surfaces like the face. To address this issue, three-dimensional (3D) scanning and 3D printing techniques have been actively developed for face masks and have shown promising clinical results. Unfortunately, current facial masks under development lack a sensor system to measure pressure, making it difficult to ensure consistent and appropriate pressures during clinical trials. In this study, we have developed a burn pressure mask capable of real-time pressure monitoring. The facial mask developed in this study utilizes an FSR-type sensor to measure the pressure applied to the skin. We have also embedded electrical wires within the mask to enhance its comfort and wearability. For this study, two patients wore the facial mask with real-time pressure measurement capabilities for 4 weeks in 12 h per day on average. We evaluated whether the mask maintained the appropriate pressure range (15–25 mmHg) throughout the clinical trial and whether it effectively inhibited scar formation. Through the analysis of recorded pressure signal data, we confirmed that the patients consistently maintained the appropriate pressure while wearing the mask during the clinical trial. Additionally, we observed significant differences in skin moisture levels, transepidermal water loss, and scar thickness before and after the experiment. These findings suggest that the facial mask, featuring real-time monitoring capabilities, effectively prevents the formation of hypertrophic scars. Full article

Organic fertilizer is utilized to improve the organic carbon levels in arable soils, which is helpful for soil quality improvement and crop yield increase. However, the after-effect of organic fertilizer varies among regions with different temperature and precipitation conditions, and the extent of the impact remains unknown. This study aimed to investigate the impact of varying temperature and rainfall conditions on the accumulation of soil organic carbon after organic fertilizer application. A meta-analysis of 168 peer-reviewed studies published between 2005 and 2022 involving a total of 464 trials was conducted. The following was discovered: (1) In the major grain-producing areas of China, there was a significant positive correlation (p < 0.01) between latitude and soil organic carbon content. Meanwhile, temperature and precipitation had a significant negative correlation (p < 0.01) with soil organic carbon content. (2) The increase in temperature inhibited the increase in soil organic carbon storage. The improvement effect of organic fertilizer application in the low-temperature areas was significantly increased by 60.93% compared with the mid-temperature areas, and by 69.85% compared with the high-temperature areas. The average annual precipitation affected the after-effect of organic fertilizer as follows: 400–800 mm > 400 mm > more than 800 mm. (3) The influence of climatic conditions on the after-effect of organic fertilizer was more significant depending on the specific tillage practice. To increase organic fertilizer use efficiency and eliminate greenhouse gas emissions, liquid organic fertilizers with abundant trace nutrients and amino acids, which take advantage of releasing nutrients more swiftly and have a better fertilization effect, could be an alternative to traditional organic fertilizers. Full article

Plants have been used as sources of medicine since ancient times. Natural products have been used extensively in Chinese, ayurvedic and folk medicine. In addition, a significant portion of the world’s population still utilizes herbal medicine. Diabetes is a common ailment affecting almost 463 million people in the world. However, current medications exert harmful after-effects on patients, while herbal medicines have fewer adverse effects. Plants possess secondary metabolites, such as alkaloids, flavonoids, tannins, steroids, etc., which exert numerous beneficial effects on health. Extensive research has been conducted over the years investigating and proving the hypoglycemic potential of various plants. The present paper reviews 37 such plants that are rich in phytoconstituents that possess a variety of pharmacological activities and have been experimentally proven to possess potentially hypoglycemic properties in animal models: Ficus racemosa, Agremone mexicana, Bombax ceiba, Cajanus cajan, Coccinia cordifolia, Momordica charantia, Syzygium cumini, Neolamarckia cadamba, Mangifera indica, Cocos nucifera, Tamarindus indica, Punica granatum, Azadirachta indica, Costus speciosus, Moringa oleifera, Andrographis paniculata, Ficus benghalensis, Anacardium occidentale, Annona squamosa, Boerhaavia diffusa, Catharanthus roseus, Cocculus hirsutus, Ficus hispida, Terminalia chebula, Terminalia catappa, Amaranthus tricolor, Blumea lacera, Piper betle leaves, Achyranthes aspera, Kalanchoe pinnata, Nelumbo nucifera, Mikania cordata, Wedelia chinensis, Murraya koenigii, Aloe barbadensis, Bryophyllum pinnatum and Asparagus racemosus. These 37 plant extracts exhibit antidiabetic activities through different mechanisms, including α-amylase and α-glucosidase inhibition, increases in glucose uptake and the stimulation of insulin secretion. Full article

Breast cancer is the most prevalent type of malignancy among females as per the report of the World Health Organization. There are several established chemotherapeutic regimes for the clinical management of different solid cancers; however, the after-effects of these therapeutics serve as a significant limiting factor. The natural triterpenoid compound, gedunin is one of the principal phytoconstituent found in Azadirachta indica. In this study, we have investigated the anticancer potential of gedunin against human breast cancer MDA-MB-231 and MCF-7 cells. Based on computational studies, gedunin exhibited significantly higher binding affinity of −7.1 and −6.2 Kcal/mol towards Janus kinase (JAK) and STAT proteins, respectively. Further, the anticancer potential of gedunin against human breast cancer was studied using hormone-independent and -dependent MCF-7 and MDA-MB-231 cell lines, respectively. The results indicated that gedunin inhibited the growth and multiplication of both MCF-7 and MDA-MB-231 cells. The nuclear fragmentation and ROS were qualitatively enhanced in the treated MCF-7 and MDA-MB-231 cells in comparison to untreated cells. The caspase-3 level was significantly enhanced with a concomitant decline in JAK1 and STAT3 mRNA expression. Based on these results, gedunin might be considered as a potential therapeutic lead against hormone-dependent and -independent breast cancer MCF-7 and MDA-MB-231 cells, respectively. However, further detailed mechanistic studies are warranted to conclusively establish the anti-breast cancer effects. Full article

Background: Alt-sex practitioners are a diverse group with diverse unconventional sexual behaviors including consensual non-monogamy (CNM), kink, fetishism, and bondage/discipline dominance/submission, sadomasochism (BDSM). Perhaps because of their openness to non-normative sexuality, these communities often comprise a large proportion of lesbian, gay, bisexual, trans, queer, among others (LGBTQ+) individuals. LGBTQ+ individuals experience higher rates of sexual violence and consent violation than their cisgender, heterosexual peers both inside and outside of formalized alt-sex communities. Pleasure, including but not limited to sexual pleasure, is often a motivator for engaging in sexual and alt-sex activities. This study examines how consent violations influence pleasure among LGBTQ+ alt-sex members. Methods: We conducted an electronic one-time survey of LGBTQ+ alt-sex practitioners (N = 1354). In this study, we analyze open-ended responses for ways pleasure was described in response to questions about consent violations. We use thematic analyses in Dedoose online software. Results: Two subthemes emerged related to the violation itself, (a) pleasure as a motivator for violating consent and (b) pleasure in spite of consent violation. As the second theme that emerged, pleasure was a component of the aftereffects of the violation in two ways: (1) pleasure was reduced or inhibited by consent violations; (2) pleasure was a motivator for healing and advocacy. Conclusions: We discuss practical and research implications based on the complex relationships between violations and pleasure reported by participants. Full article

The effects of transcranial alternating current stimulation (tACS) frequency on brain oscillations and cortical excitability are still controversial. Therefore, this study investigated how different tACS frequencies differentially modulate cortical oscillation and inhibition. To do so, we first determined the optimal positioning of tACS electrodes through an electric field simulation constructed from magnetic resonance images. Seven electrode configurations were tested on the electric field of the precentral gyrus (hand motor area). We determined that the Cz-CP1 configuration was optimal, as it resulted in higher electric field values and minimized the intra-individual differences in the electric field. Therefore, tACS was delivered to the hand motor area through this arrangement at a fixed frequency of 10 Hz (alpha-tACS) or 20 Hz (beta-tACS) with a peak-to-peak amplitude of 0.6 mA for 20 min. We found that alpha- and beta-tACS resulted in larger alpha and beta oscillations, respectively, compared with the oscillations observed after sham-tACS. In addition, alpha- and beta-tACS decreased the amplitudes of conditioned motor evoked potentials and increased alpha and beta activity, respectively. Correspondingly, alpha- and beta-tACSs enhanced cortical inhibition. These results show that tACS frequency differentially affects motor cortex oscillation and inhibition. Full article

Rosemary (Rosmarinus officinalis [family Lamiaceae]), an herb of economic and gustatory repute, is employed in traditional medicines in many countries. Rosemary contains carnosic acid (CA) and carnosol (CS), abietane-type phenolic diterpenes, which account for most of its biological and pharmacological actions, although claims have also been made for contributions of another constituent, rosmarinic acid. This review focuses on the potential applications of CA and CS for Alzheimer’s disease (AD), Parkinson’s disease (PD), and coronavirus disease 2019 (COVID-19), in part via inhibition of the NLRP3 inflammasome. CA exerts antioxidant, anti-inflammatory, and neuroprotective effects via phase 2 enzyme induction initiated by activation of the KEAP1/NRF2 transcriptional pathway, which in turn attenuates NLRP3 activation. In addition, we propose that CA-related compounds may serve as therapeutics against the brain-related after-effects of SARS-CoV-2 infection, termed “long-COVID.” One factor that contributes to COVID-19 is cytokine storm emanating from macrophages as a result of unregulated inflammation in and around lung epithelial and endovascular cells. Additionally, neurological aftereffects such as anxiety and “brain fog” are becoming a major issue for both the pandemic and post-pandemic period. Many reports hold that unregulated NLRP3 inflammasome activation may potentially contribute to the severity of COVID-19 and its aftermath. It is therefore possible that suppression of NLRP3 inflammasome activity may prove efficacious against both acute lung disease and chronic neurological after-effects. Because CA has been shown to not only act systemically but also to penetrate the blood–brain barrier and reach the brain parenchyma to exert neuroprotective effects, we discuss the evidence that CA or rosemary extracts containing CA may represent an effective countermeasure against both acute and chronic pathological events initiated by SARS-CoV-2 infection as well as other chronic neurodegenerative diseases including AD and PD. Full article

Introduction: The aim of this study was to reveal the effects of intermittent theta burst stimulation (iTBS) in modulating cortical networks using transcranial magnetic stimulation and electroencephalography (TMS-EEG) recording. Methods: Eighteen young adults participated in our study and received iTBS to the primary motor cortex (M1), supplementary motor area, and the primary visual cortex in three separate sessions. A finger tapping task and ipsilateral single-pulse TMS-EEG recording for the M1 were administrated before and after iTBS in each session. The effects of iTBS in motor performance and TMS-evoked potentials (TEPs) were investigated. Results: The results showed that iTBS to the M1, but not supplementary motor area or the primary visual cortex, significantly reduced the N100 amplitude of M1 TEPs in bilateral hemispheres (p = 0.019), with a more prominent effect in the contralateral hemisphere than in the stimulated hemisphere. Moreover, only iTBS to the M1 decreased global mean field power (corrected ps < 0.05), interhemispheric signal propagation (t = 2.53, p = 0.030), and TMS-induced early α-band synchronization (p = 0.020). Conclusion: Our study confirmed the local and remote after-effects of iTBS in reducing cortical inhibition in the M1. TMS-induced oscillations after iTBS for changed cortical excitability in patients with various neurological and psychiatric conditions are worth further exploration. Full article

The distribution of single Stop Signal Reaction Times (SSRT) in the stop signal task (SST) has been modelled with two general methods: a nonparametric method by Hans Colonius (1990) and a Bayesian parametric method by Dora Matzke, Gordon Logan and colleagues (2013). These methods assume an equal impact of the preceding trial type (go/stop) in the SST trials on the SSRT distributional estimation without addressing the relaxed assumption. This study presents the required model by considering a two-state mixture model for the SSRT distribution. It then compares the Bayesian parametric single SSRT and mixture SSRT distributions in the usual stochastic order at the individual and the population level under ex-Gaussian (ExG) distributional format. It shows that compared to a single SSRT distribution, the mixture SSRT distribution is more varied, more positively skewed, more leptokurtic and larger in stochastic order. The size of the results’ disparities also depends on the choice of weights in the mixture SSRT distribution. This study confirms that mixture SSRT indices as a constant or distribution are significantly larger than their single SSRT counterparts in the related order. This result offers a vital improvement in the SSRT estimations. Full article