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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…
Drug addiction is marked by drug-biased salience attribution and prefrontal cortex (PFC) dysfunction. As drug-associated cues acquire incentive properties and underpin drug craving, seeking, and relapse, diminishing…
The network organization of the human brain dynamically reconfigures in response to changing environmental demands, an adaptive process that may be disrupted in a symptom-relevant manner across psychiatric illnesses…
The primary visual cortex (V1) encodes multidimensional representations of ongoing movements, raising the question of how these signals are organized and interact with sensory representations within the same population…
With artificial-intelligence tools speeding up and taking on ever more steps in science, Nature canvassed opinions on tasks that readers would rather keep for themselves. Here is a snapshot of the responses. As a student…
Reward responsiveness plays an important role in promoting health and well-being in youth. Understanding associations between early experiences and variation in the typical developmental trajectory of reward…
Public health policy and clinical guidelines worldwide have stressed the importance of exercise for health and well-being. However, an increasing evidence-base shows that personality traits can impact individual…
Adolescence is a period of rapid neurobiological and behavioural change, yet how brain maturation deviations relate to psychopathology remains unclear. Here, we show, using data from the Adolescent Brain Cognitive…
Repeatedly processing an object leads to subsequent behavioral improvements in its identification and reductions in associated neural activity, a form of neural processing efficiency that multiple theoretical models have…
Deceptive actions such as head fakes are a hallmark of interactive sports, yet it is not well understood how decisions and whole-body responses to head fakes unfold over time. In the present study, participants viewed…
Despite broad scientific consensus, a large proportion of the UK population remain unconvinced of the reality of anthropogenic climate change. Segmentation research has increased understanding of attitudes towards…
Social capital (SC) is a key determinant of well-being and social participation, yet the magnitude of its individual differences and their neurobiological bases remain poorly understood. Here we showed that social…
Are public sector workers more honest? Although an important question in public administration and the policy sciences, empirical results have been inconclusive. Current studies have largely relied on indirect methods…
Mental health issues, especially depressive symptoms, among young adults represent a public health challenge. Conventional psychological assessment tools have limited sensitivity and specificity for identifying…
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