neuroimaging

AI reveals a striking two-speed cleanup system that helps the sleeping brain clear away harmful waste. During deep sleep, a waterlike fluid moves through and around the brain, helping remove metabolic waste associated with disorders including Alzheimer’s disease. This cleanup process is known as the glymphatic system. It was first described in 2012 by Maiken [...]

The brain is a black box of densely packed neurons, blood vessels and immune cells, all locked away in a sealed skull. Washington University in St. Louis’ Song Hu has dedicated his career to unlocking that puzzle box by developing new ways to “see” inside, and his team’s newest innovation could give researchers a new view of how brain cells and blood vessels work together and what happens when th…

BackgroundNeuroimaging studies of internet gaming disorder (IGD) have primarily focused on reward-related and executive-control networks. However, sensory processing of addiction-related cues, particularly visual processing, may also contribute to IGD. Whether the intrinsic hierarchical organization of the visual system is altered remains unclear.MethodsThe study included 35 individuals with IGD …

Johns Hopkins researchers developed CloudScope, a cloud-based microscope enabling continuous, remote brain imaging in freely moving mice, revealing disease progression, seizures, cellular changes and behavior over extended periods. The post CloudScope Enables Continuous Remote Monitoring of Brain Activity in Freely Moving Mice appeared first on GEN - Genetic Engineering and Biotechnology News .

Sleep does much more than give the body a chance to rest. While we sleep, the brain goes through important changes that may help clear away substances produced during normal daily activity. Scientists are increasingly interested in this nighttime cleaning process because poor removal of waste may be connected with brain aging and disease. A […] The post This Gentle Sound May Boost the Brain’s Nig…

_bioRxiv_. forthcomingMoral cognition is a complex process, which recruits a wide range of mechanisms. It is not clear whether any of them reliably reflects moral content in the stimulus. We set out to test whether a specific mechanism of moral content representation and/or detection exists, and where it is, if it exists. To that end we used uni- and multi-variate analyses, including inter-subjec…

Morphologically detailed dendrites possess powerful computational capabilities but are computationally expensive. Therefore, exploring how large-scale, detailed multi-compartment neural networks achieve learning proves challenging, presenting significant obstacles both in learning algorithms and simulation infrastructures. Here, we provide an extension to the DeepDendrite framework to enable the …

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