Research shows that experiences of early life adversity can lead to significant changes in how brain networks operate, with implications for understanding mental health.
This paper presents EdgeSSVEP, a microcontroller-based Steady-State Visually Evoked Potential (SSVEP) BCI platform that performs real-time EEG acquisition and on-device classification while operating at low power (222 mW). The study achieved 99.17% classification accuracy over 10 participants with various stimulus frequencies.
This article introduces the concept of Neural Digital Twin (NDT) as a solution to the limitations of current neural interfaces. NDT involves creating a dynamic computational model of the brain-BCI system that learns from real-time neural data, optimizing control commands, and adapting decoding algorithms.
This article presents a hypothesis on how field resonance may address binding and criticality issues faced in neuroscience.
This study examines the effects of oxytocin on emotional bias and recognition in patients with behavioral variant Frontotemporal Dementia (bvFTD), showing that oxytocin can diminish anger bias and enhance recognition of harm-intentions.
This paper introduces a computational framework for probabilistic robustness analysis of dynamical systems in neuroscience, successfully applying it to models like the Hindmarsh-Rose and Jansen-Rit models. The method assesses the preservation of neural signaling regimes under uncertainty by employing generalized polynomial chaos and new metrics.
This study investigates the effects of P75NTR blockading on M1 phenotype microglia activation and myelin damage in a model of mild traumatic brain injury.
The paper investigates whether transformers trained on prenatal visual input develop structures similar to newborn visual systems. Findings show that, under such training, transformers exhibit edge detection and shape sensitivity, suggesting common learning principles between biological and artificial systems.
A recent investigation finds a correlation between early exposure to screens and long-term alterations in brain structure, which may contribute to increased anxiety in teenagers. This research underscores the effects of digital media on adolescent mental health.
Introducing a dashing knight in therapeutic armor: the revivification of brain's immune cells as a novel treatment. This innovation breathes hope into treating entwined neurological ailments. Quite literally, a breath of fresh cell! Original source is Singularity Hub.
This preprint presents a novel method for directly imaging collagen using MRI techniques, which could have significant implications for biomedical imaging and tissue assessment.
This article discusses the role of PARP1 activation in synaptic potentiation, challenging traditional understanding and suggesting new pathways for research in neurobiology.
A new study uncovers a specific ratio of immune signals that could predict the likelihood of developing progressive multiple sclerosis. This finding provides insight into potential biomarkers for disease progression.
The research utilizes spatial transcriptomics to map immune gene expression in the developing mouse brain, identifying critical sex-specific changes due to maternal gut and immune changes.
This article discusses the neural and psychosocial correlates associated with different forms of non-suicidal self-injury across various psychiatric disorders, highlighting the functional heterogeneity observed.
The study conducted a CRISPR screen to identify genes essential for neural differentiation, linking findings with mouse neuroanatomy and identifying a new PEDS1-related neurodevelopmental disorder.