World Neurosurg
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This study aimed to identify which lumbar vertebral level above a lumbosacral transitional vertebra (LSTV) demonstrated the longest transverse process (TVP) lengths. ⋯ In the absence of whole-spine imaging, these findings indicate that L3 TVPs may offer an alternative bony landmark, which may aid in spinal enumeration estimation in the setting of LSTV. This is of value for radiograph appraisal and may aid with correct-level intervention.
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Thanks to the proliferation of open-source tools, we are seeing an exponential growth of machine-learning applications, and its integration has become more accessible, particularly for segmentation tools in neuroimaging. ⋯ In short, this article provides a comprehensive framework for accelerating research using machine-learning techniques for image segmentation.
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Review Historical Article
Ney Bienvenido Arias Lora (1926-2007): The Dominican Republic's First Neurosurgeon.
Dr. Ney Bienvenido Arias Lora emerged not only as a pioneer in neurosurgery but a community leader in the Dominican Republic (DR), contributing significantly to a region where both fundamental and neurosurgical resources were scarce. This account aims to shed light on the remarkable life and career of Dr. Arias Lora, emphasizing the critical role he played in establishing and advancing neurosurgery in the DR. ⋯ Dr. Ney Bienvenido Arias Lora's life and achievements stand as a testament to the transformative impact dedicated individuals can have on the advancement of neurosurgery. Despite the intricacies inherent in the field of neurosurgery and broader societal challenges, his story serves as an inspiration.
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One of the pressing constraints in the treatment of arteriovenous malformations (AVM) is the potential development of new neurologic deficits, mainly when the AVM is in an eloquent area. The risk of ischemia when an en passage arterial supply is present is not negligible. In this regard, awake surgery holds promise in increasing the safety of low-grade AVM resection. ⋯ Awake craniotomies are safe procedures and may be helpful in avoiding ischemic complications in low-grade AVMs, either affecting eloquent areas and/or when en passage feeders are present.
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Brain-computer interfaces (BCIs), a remarkable technological advancement in neurology and neurosurgery, mark a significant leap since the inception of electroencephalography in 1924. These interfaces effectively convert central nervous system signals into commands for external devices, offering revolutionary benefits to patients with severe communication and motor impairments due to a myriad of neurological conditions like stroke, spinal cord injuries, and neurodegenerative disorders. BCIs enable these individuals to communicate and interact with their environment, using their brain signals to operate interfaces for communication and environmental control. ⋯ However, challenges persist, including the complexity of accurately interpreting brain signals, the need for individual calibration, and ensuring reliable, long-term use. Additionally, ethical considerations arise regarding autonomy, consent, and the potential for dependence on technology. Despite these challenges, BCIs represent a transformative development in neurotechnology, promising enhanced patient outcomes and a deeper understanding of brain-machine interfaces.