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The Natural Scenes Dataset is the largest and richest database of fMRI responses to visual scenes, encouraging artificial and biological intelligence to work together toward developing computational models of the visual brain. We predict that the 2023 installment will spark symbiotic collaborations between biological and artificial intelligence scientists, contributing to a greater knowledge of the brain through cutting-edge computational models and the development of artificial intelligence agents with inductive biases from biological systems.
Transcriptome deconvolution seeks to determine the cellular composition of an RNA sample from its gene expression results, which can be used to account for sample differences. Our findings reveal the key reasons that lead to deconvolution accuracy for brain tests, as well as the importance of biological factors influencing cell-type signatures, such as brain region and in vitro cell culturing.
The common marmoset is a nonhuman primate model with a large promise. Although resting-state functional MRI has revealed results for a similar group of marmoset and human cortices, no such method can be used to map brain regions between species.
Using resting-state brain imaging, the variation in brain functions as healthy ageing has been widely discussed. We developed the GS as the mean signal of all voxels in the grey matter, and scientifically investigated correlations between age and indices of GS changes to fill the void. These trends were partly influenced by HRF and physiological noise, meaning that the age effects of GS fluctuations are connected to a variety of physiological activities. These results may lead to the temporal dedifferentiation hypothesis of brain ageing from a global perspective.
When raw neuroimaging results are released, it is important for the community to know that such open science efforts must shield personal, especially facial information. The Chinese head templates were used to obscure the faces of Chinese brain photographs, but not the Western templates to obscure the faces of Chinese brain photos. We turned the 215 Chinese multi-modal MRI results, including "I See Your Brains," to the public through the Science Data Bank, to assist the further investigation into potential culture-related effects on and increase diversity of data-sharing for the human brain mapping.
Optical coherence tomography is a rapidly growing 3D imaging method that allows the measurement of intrinsic optical characteristics, such as scattering coefficient and back-scattering coefficient, and has been used to distinguishing delicate microstructures in the human brain. Here, we developed a generalized linear model based on Mie scattering theory that quantitatively links tissue release to myelin content and neuron density in the human brain. We find a strong linear correlation between scattering coefficient and myelin content that is retained in various regions of the brain.
We tested this hypothesis by manipulating the coupling strength of two brain regions in two directions in two directions in two directions in two directions in two directions while also monitoring for the effect each manipulation had on local conditions. We investigated the PMv-M1 link because it is the most prominent cortical route by which prefrontal cortex can influence, restrict, and limit action-related activity in M1.
To fully understand the role of this primary excitatory neurotransmitter in both normal brain function and other neurological disorders, it's imperative to understand how to assess glutamate release and re-uptake with high spatial and temporal resolution. We performed single-wavelength glutamate nanosensor imaging in human cortical brain slices obtained from patients undergoing epilepsy surgery for the first time. We found that the newly introduced fluorescent nanosensors for glutamate enable us to detect neuronal activity in acute human cortical brain slices with high spatiotemporal precision.
We intentionally altered sleep-based processing using targeted memory reactivation; brief sounds coupled with presleep learning were silently introduced during sleep, resulting in 1 recall enhancements for specific spatial associations associated with those sounds and 2 physiological responses in the sleep electroencephalogram. These results help with consolidation by comparing beneficial memory changes during sleep to both memory reactivation and specific patterns of brain activity.
The gene coding for neuronal MCT2 is the only gene enriched in cerebral cortex where its presence is inversely correlated with cortical thickness, according to our results. MCT2 was the only gene identified in a cluster enriched in K+ dynamics, according to Coexpression network analysis. In addition, the MCT2 messenger RNA gradient closely matches those in functional MRI brain regions associated with attention, arousal, and strain. Our findings reveal neuronal MCT2 lactate transporter as a vital component of the cross-talk between astrocytes and neurons, as well as a correlation between metabolism, cortical structure, and state-dependent brain function.
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