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Updated Sep 18, 2026 8:00 AM PT
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A groundbreaking study has uncovered eleven genetic markers linked to borderline personality disorder, analyzing data from more than thirteen thousand diagnosed patients. These genetic factors may ...
Indian airports restrict terminal entry solely to passengers with valid tickets and identification. This security measure differs significantly from many European airports which allow public access. A ...
Want to avoid battles over broccoli and squabbles over spinach? We've asked you for your advice on how to cope at mealtimes over the summer holidays.
Vermont passed a new law on AI and mental health. One aspect to note is whether therapists will rubber-stamp AI. An AI Insider analysis and scoop.
is a neuroaffirming child psychology practice offering autism and ADHD assessments, therapy, and parent
A rapid form of magnetic brain stimulation may provide sustained relief for older adults battling depression. A recent clinical trial found that the therapy effectively reduces symptoms, but aging brains might require…
IntroductionCurrent rodent models for anxiety and depression assessment face methodological challenges compromising both scientific rigor and animal welfare.MethodsThis study introduced a novel approach using the Lévy…
Caregiving for persons with epilepsy is frequently conceptualised in terms of burden and stigma; however, such framings often obscure the labour-intensive nature of everyday caregiving practices. In rural South Africa…
Against the backdrop of rapid digital technology development, the impact of parental phubbing on adolescents’ physical and mental health has garnered increasing attention. Grounded in the Stimulus-Organism-Response (SOR)…
Sexual dysfunction is a common and clinically significant problem in patients treated with antidepressants and antipsychotics, yet it remains under-recognized in routine psychiatric practice. Its relevance extends beyond…
BackgroundTobacco use is significantly more prevalent among individuals with schizophrenia spectrum disorders (SSD) compared to the general population, contributing to elevated rates of premature mortality from…
BackgroundAdult attention-deficit hyperactivity disorder (ADHD) diagnostic pathways in England are under sustained pressure. Demand has risen, waiting times have lengthened, service models remain fragmented, workforce…
BackgroundThis study primarily investigates the intervention effects of different models on children with autism.MethodsA total of 132 autistic children were recruited and assigned to three intervention models…
Feline somatosensory impairments associated with aging and osteoarthritis (OA) can be quantified through quantitative sensory testing and nerve conduction (NC). This prospective, randomized and blinded study aimed to…
Astrocytes act as crucial cellular centres of cholesterol synthesis and metabolism and help maintain homeostasis in the healthy CNS. Spinal cord injury (SCI) results in abnormalities in astrocytic cholesterol metabolism…
The microbiotaâgutâbrain axis (MGBA) has emerged as a key framework for understanding how peripheral biological systems influence brain function and behaviour. However, despite extensive associative evidence linking…
Examining sleep patterns in relation to chronological ageing and dementia can provide insights for risk screening. Integrating predictive models with remote sleep monitoring enables routine assessment of cognitive…
Aneurysmal subarachnoid hemorrhage (aSAH) ranks among the most burdensome stroke subtypes in terms of years-of-life-lost. Existing models rely primarily on linear additive structures; explicit visualisation of…
In a recent study published in cell, Zhang et al. demonstrated that calcitonin gene-related peptide (CGRP), secreted by tumor-innervating sensory neurons, alters the structural constituents and the immune landscape of…
Post-COVID-19 syndrome (PCS) is an escalating global health concern, marked by persistent cognitive, neurological, and psychiatric symptoms following acute SARS-CoV-2 infection. Although its underlying mechanisms remain…
One of the objectives of digital neuropsychology is to apply computational methods to improve the accuracy of traditional assessments. The Trail Making Test (TMT) is one of the most popular neuropsychological tests for…
Movement-related beta event-related synchronization (ERS) has been linked to motor control and learning, showing potential as a therapeutic target for those with movement deficits, such as stroke survivors. However…
Human perception of polarised light, known as Haidingerâs brushes, is linked to macular health but is typically too faint for reliable clinical use. Structured light can enhance these entoptic patterns, but the…
Early diagnosis of Parkinson’s disease (PD) is challenging due to the difficulty in identification of various early motor signs. We aimed to develop and validate a highly efficient detection model for early-stage PD…
The cerebral cortex is highly sensitive to oxygen availability and thus serves as an ideal model for studying neural adaptation to hypoxia. Here, we integrated long-read (Oxford Nanopore) and short-read (Illumina)…
Parkinsonâs disease (PD) is characterized by degeneration of dopaminergic neurons in the substantia nigra pars compacta, but the molecular events preceding neuronal loss remain unclear. Here, we combine spatial…
Artificial intelligence systems are becoming more intelligent, but at a very high cost in terms of energy consumption and training requirements. By contrast, our brains only require 20âW of energy, they learn online…
Stroke is a common disease with an extremely high disability rate. In addition to conventional training, environmental stimulation training is also an effective approach. However, its neuropsychological basis remains…
Robotic systems can enhance the amount and repeatability of physical guided motor training. Yet their real-world adoption is limited, partly due to non-intuitive trainer/therapist-trainee/patient interactions. To address…
Manual annotation of spike-wave discharges (SWDs), the electrographic hallmark of absence seizures, is labor-intensive for long-term electroencephalography (EEG) monitoring studies. While machine learning approaches show…