Dexmedetomidine, which is a relatively selective alpha2-adrenoceptor agonist, is used for sedation and analgesia in intensive care unit patients, during awake craniotomies in pediatric and adult patients, and during magnetic resonance imaging, with minimal depression of respiratory function. The successful use of dexmedetomidine in a pediatric patient undergoing bilateral deep brain stimulator placement for the treatment of generalized dystonia, is presented.
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http://dx.doi.org/10.1016/j.jclinane.2008.06.038 | DOI Listing |
J Neurosurg
December 2024
Departments of1Neurology.
Objective: Pharmacoresistant tremors, often seen in Parkinson disease and essential tremor, significantly impair patient quality of life. Although deep brain stimulation has been effective, its invasive nature limits its applicability. MR-guided focused ultrasound (MRgFUS) thalamotomy offers a noninvasive alternative, but its cognitive impacts are not fully understood.
View Article and Find Full Text PDFProteomes
November 2024
Department of Molecular Biosciences, University of South Florida, Tampa, FL 33620, USA.
As the primary innate immune cells of the brain, microglia play a key role in various homeostatic and disease-related processes. To carry out their numerous functions, microglia adopt a wide range of phenotypic states. The proteomic landscape represents a more accurate molecular representation of these phenotypes; however, microglia present unique challenges for proteomic analysis.
View Article and Find Full Text PDFTomography
December 2024
Department of Diagnostic Radiology, Kitasato University School of Medicine, Sagamihara 252-0374, Japan.
Objectives: We evaluated the noise reduction effects of deep learning reconstruction (DLR) and hybrid iterative reconstruction (HIR) in brain computed tomography (CT).
Methods: CT images of a 16 cm dosimetry phantom, a head phantom, and the brains of 11 patients were reconstructed using filtered backprojection (FBP) and various levels of DLR and HIR. The slice thickness was 5, 2.
J Imaging
December 2024
College of Electrical and Information, Northeast Agricultural University, 600 Changjiang Road, Harbin 150038, China.
Alzheimer's disease (AD), a degenerative condition affecting the central nervous system, has witnessed a notable rise in prevalence along with the increasing aging population. In recent years, the integration of cutting-edge medical imaging technologies with forefront theories in artificial intelligence has dramatically enhanced the efficiency of identifying and diagnosing brain diseases such as AD. This paper presents an innovative two-stage automatic auxiliary diagnosis algorithm for AD, based on an improved 3D DenseNet segmentation model and an improved MobileNetV3 classification model applied to brain MR images.
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