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Graph convolution network-based eeg signal analysis: a review.
Med Biol Eng Comput
January 2025
School of Control Science and Engineering, Tiangong University, Tianjin, 300387, China.
With the advancement of artificial intelligence technology, more and more effective methods are being used to identify and classify Electroencephalography (EEG) signals to address challenges in healthcare and brain-computer interface fields. The applications and major achievements of Graph Convolution Network (GCN) techniques in EEG signal analysis are reviewed in this paper. Through an exhaustive search of the published literature, a module-by-module discussion is carried out for the first time to address the current research status of GCN.
View Article and Find Full Text PDFThe microsurgical infratentorial supracerebellar approach for lesions of the pineal gland: feasibility, morbidity, and functional outcomes from a single-center experience.
Neurosurg Rev
January 2025
Department of Neurosurgery, Sana Kliniken Duisburg, Academic Teaching Hospital of University Duisburg-Essen, Duisburg, Germany.
Pineal gland lesions pose a significant surgical challenge due to the deep-seated nature of the pineal gland, as well as the limited field of view, and the complex vascular anatomy. The mainstay of surgical treatment, when necessary, is always histopathological clarity and gross total resection (GTR). We evaluate the surgical outcomes for pineal gland lesions, shedding light on functional outcomes, histological findings, and surgical complications.
View Article and Find Full Text PDFDeep Learning-Powered CT-Less Multitracer Organ Segmentation From PET Images: A Solution for Unreliable CT Segmentation in PET/CT Imaging.
Clin Nucl Med
January 2025
From the Division of Nuclear Medicine and Molecular Imaging, Geneva University Hospital, Geneva, Switzerland.
Purpose: The common approach for organ segmentation in hybrid imaging relies on coregistered CT (CTAC) images. This method, however, presents several limitations in real clinical workflows where mismatch between PET and CT images are very common. Moreover, low-dose CTAC images have poor quality, thus challenging the segmentation task.
View Article and Find Full Text PDFTheta and beta power in the subthalamic nucleus responds to conflict across subregions and hemispheres.
Brain Commun
January 2025
Department of Neurological Surgery, University of Louisville, Louisville, KY 40202, USA.
The subthalamic nucleus is thought to play a crucial role in controlling impulsive actions. Networked among the basal ganglia and receiving input from several cortical areas, the subthalamic nucleus is well positioned to influence action selection when faced with competing and conflicting action outcomes. The purpose of this study was to test the dissociable roles of the dorsal and ventral aspects of the subthalamic nucleus during action conflict in patients with Parkinson's disease undergoing intraoperative neurophysiological recording and to explore a potential mechanism for this inhibitory control.
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