Facial paralysis may result in significant functional, esthetic, and psychological morbidity. Mobius syndrome is a form of bilateral congenital facial paralysis that is particularly difficult to treat owing to the lack of readily available donor nerves, particularly in the upper face. In this study, we evaluate the feasibility of using the deep temporal nerves as donors for the innervation of free muscle grafts in the periorbital region. Preserved and fresh cadaver facial halves are dissected, and the course of the deep temporal nerves delineated. We find the middle branch of the deep temporal nerve to be located consistently 4.6 cm from the posterior edge of the tragus along the zygomatic arch, giving an easily identifiable surface landmark for our donor. Finally, we outline a proposed surgical approach for using the middle deep temporal nerve to innervate a free muscle graft to the eyelids through an interpositional nerve graft.
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http://dx.doi.org/10.1016/j.bjps.2021.05.059 | DOI Listing |
Adv Sci (Weinh)
January 2025
State Key Laboratory of Common Mechanism Research for Major Diseases, Department of Biochemistry & Molecular Biology, Medical Primate Research Center, Neuroscience Center, Institute of Basic Medical Sciences Chinese Academy of Medical Sciences, School of Basic Medicine Peking Union Medical College, Beijing, 100005, China.
The development of the mammalian neocortex is precisely regulated by temporal gene expression, yet the temporal regulatory mechanisms of cortical neurogenesis, particularly how radial glial cells (RGCs) sequentially generate deep to superficial neurons, remain unclear. Here, the hnRNP family member Syncrip (hnRNP Q) is identified as a key modulator of superficial neuronal differentiation in neocortical neurogenesis. Syncrip knockout in RGCs disrupts differentiation and abnormal neuronal localization, ultimately resulting in superficial cortical layer defects as well as learning and memory impairments in mice.
View Article and Find Full Text PDFOecologia
January 2025
College of Grassland, Resources and Environment, Inner Mongolia Agricultural University, 29 Ordos Rd., Hohhot, 010011, China.
Although numerous studies have shown that grazing gives rise to community succession from the communities or even species perspective, there is a lack of discussion about how grazing drives community assembly based on plant functional traits in a long-term experiment. We find different grazing intensities lead to temporal effects on trait-mediated multidimensional community assembly processes, including community-weighted trait mean (CWM), trait filtering, and trait distribution (divergence/convergence). CWM, trait filtering, and trait distribution of different traits transformed over the 16-year grazing experiment.
View Article and Find Full Text PDFPLoS One
December 2024
Department of Computer Engineering, Sharif University of Technology, Tehran, Iran.
Neuromorphic engineering has emerged as a promising avenue for developing brain-inspired computational systems. However, conventional electronic AI-based processors often encounter challenges related to processing speed and thermal dissipation. As an alternative, optical implementations of such processors have been proposed, capitalizing on the intrinsic information-processing capabilities of light.
View Article and Find Full Text PDFSci Rep
January 2025
Department of Ophthalmology, Taichung Veterans General Hospital, No.1650, Sec. 4, Taiwan Blvd., Xitun Dist., Taichung, Taiwan.
Diabetic retinopathy (DR) is a leading cause of vision loss among adults. This study evaluates Optical Coherence Tomography Angiography (OCTA) vessel density (VD) as a marker for DR in diabetes mellitus (DM) patients. An observational study was conducted with 47 type 2 DM patients and 21 healthy controls.
View Article and Find Full Text PDFPLoS One
January 2025
Department of Artificial Intelligence and Data Science, Sejong University, Seoul, Republic of Korea.
Energy is integral to the socio-economic development of every country. This development leads to a rapid increase in the demand for energy consumption. However, due to the constraints and costs associated with energy generation resources, it has become crucial for both energy generation companies and consumers to predict energy consumption well in advance.
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