Neuroscience
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Previous studies have demonstrated patients with autism spectrum disorder (ASD) are accompanied by alterations of spontaneous brain activity in gray matter. However, whether the alterations of spontaneous brain activity exist in white matter remains largely unclear. In this study, 88 ASD patients and 87 typical controls (TCs) were included and regional homogeneity (ReHo) was calculated to characterize spontaneous brain activity in white matter. ⋯ Compared with TCs, the ASD group showed significantly decreased ReHo in the left superior corona radiata and left posterior limb of internal capsule, and decreased ReHo in the left anterior corona radiata with a trend level of significance. In addition, significantly weaker structural-functional coupling was observed in the left superior corona radiata and left posterior limb of internal capsule in ASD patients. Taken together, these findings highlighted abnormalities of white matter's regional spontaneous brain activity in ASD, which may provide new insights into the pathophysiological mechanisms of this disorder.
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Accurate and efficient non-rigid registration is important to investigate neural mechanisms in multi-session two-photon (2p) imaging across a few days. The 2p imaging recordings from different sessions usually possess certain complex misalignment or huge data variance due to relocation errors during experimental operations or brain recovery. Most of the reported neural image registration tools were able to solve the registration problem in the same session with small deformation. ⋯ In this study, we report the development of a non-rigid registration method for 2p imaging in mice based on image triangulation and piecewise affine transformation (TPAT) technologies. The TPAT method supported both automatic and semi-automatic operation types, and both showed great performance in the benchmark test of non-rigid neural image registration. The proposed method constitutes a step forward in promoting and accelerating discoveries from multi-session 2p imaging research.
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This article presents the argument that, while understanding the brain will require a multi-level approach, there is nevertheless something fundamental about understanding the components of the brain. I argue here that the standard description of neurons is not merely too simplistic, but also misses the true nature of how they operate at the computational level. In particular, the humble point neuron, devoid of dendrites with their powerful computational properties, prevents conceptual progress at higher levels of understanding.
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Self-concept clarity (SCC) focuses on the internal consistency and stability of individual self-concept and is assumed to be a critical indicator for one's subjective well-being (SWB), which is assumed to include emotional well-being (EWB) and cognitive well-being (CWB). However, the neurobiological basis of SCC and the neurological mechanisms underlying the relationship between SCC and SWB have not been well defined. Thus, this study explored the neural basis of SCC by correlating the fractional amplitude of low frequency fluctuations (fALFF) and resting-state functional connectivity (RSFC) with the self-reported SCC in 574 healthy first-year university students. ⋯ Additionally, SCC was associated with decreased RSFC of the right PreCG and left inferior parietal lobe (IPL). Furthermore, mediation analysis demonstrated that the fALFF in the right PreCG and PreCG-IPL connectivity strength might be associated with EWB and positive affect through SCC. Our findings contribute to understanding the neurobiological basis of SCC and the neural mechanism underlying the relationship between SCC and EWB.
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Dendrites are elaborate neural processes which integrate inputs from various sources in space and time. While decades of work have suggested an independent role for dendrites in driving nonlinear computations for the cell, only recently have technological advances enabled us to capture the variety of activity in dendrites and their coupling dynamics with the soma. ⋯ Here, we discuss these forms of localized and branch-specific activity, their functional relevance in plasticity and behavior, and their supporting biophysical and circuit-level mechanisms. We conclude by showcasing electrical and optical approaches in hippocampal area CA3, using original experimental data to discuss experimental and analytical methodology and key considerations to take when investigating the functional relevance of independent dendritic activity.