This study explores the effects of repetitive transcranial magnetic stimulation (rTMS) on brain connectivity and transcriptional alterations associated with major depressive disorder.
This research employs a machine learning methodology to identify critical factors influencing suicidal ideation in young adults who experienced childhood sexual abuse.
The article investigates brain function abnormalities related to self- and other-reflection tasks in adolescents diagnosed with borderline personality disorder, who have not previously been treated.
This study presents a synaptic learning rule that utilizes local calcium signals and rewards to enhance dendritic processing, addressing the nonlinear feature binding problem in neural networks.
The research contrasts multi-talker speech comprehension across various temporal scales, comparing listeners with normal hearing and those with hearing impairments, shedding light on auditory processing in complex environments.
Vaccine scepticism could undermine important progress in cancer research.
This article reports on a study investigating the effects of low-intensity transcranial focused ultrasound on the amygdala, assessing its efficacy and safety as a potential treatment modality for neuropsychiatric conditions.
This study assesses the efficacy of MM120 for individuals suffering from major depressive disorder in a Phase 3 trial.
The study reveals that the spatial periodicity observed in grid cell activity can be interpreted through a sequence coding mechanism, providing insights into how these cells contribute to spatial navigation.
This study investigates the effects of premature visual inputs on the development of response properties in the primary visual cortex, with implications for understanding visual processing and developmental disorders.
The article focuses on the role of Bcl11b in the development of axons in subcerebral projection neurons, investigating both autonomous and non-autonomous mechanisms involved in this process.
This article explores the effects of rhythmic sampling and competition dynamics in the medial prefrontal cortex during motion detection tasks, contributing to our understanding of attentional processes.
In an evaluation involving 125 standardized patient cases, open-source DeepSeek large language models are shown to perform at least on par with state-of-the-art proprietary large language models in diagnosis and treatment recommendation tasks.
This research uncovers diverse patterns of neural encoding in the medial prefrontal cortex, particularly in the context of naturalistic foraging behaviors.
The article analyzes self-citation trends across top journals in neurology, neuroscience, and psychiatry, providing valuable insights into publication practices and the impact of self-citing on academic metrics.
Cancer blood tests and AI-powered scans look promising for quicker and more accurate detection of disease.