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The Deep Brain Stimulation (DBS) Think Tank XII was held on August 21st to 23rd. This year we showcased groundbreaking advancements in neuromodulation technology, focusing heavily on the novel uses of existing technology as well as next-generation technology. Our keynote speaker shared the vision of using neuro artificial intelligence to predict depression using brain electrophysiology. Innovative applications are currently being explored in stroke, disorders of consciousness, and sleep, while established treatments for movement disorders like Parkinson's disease are being refined with adaptive stimulation. Neuromodulation is solidifying its role in treating psychiatric disorders such as depression and obsessive-compulsive disorder, particularly for patients with treatment-resistant symptoms. We estimate that 300,000 leads have been implanted to date for neurologic and neuropsychiatric indications. Magnetoencephalography has provided insights into the post-DBS physiological changes. The field is also critically examining the ethical implications of implants, considering the long-term impacts on clinicians, patients, and manufacturers.
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http://dx.doi.org/10.3389/fnhum.2025.1544994 | DOI Listing |
ACS Chem Neurosci
September 2025
Chemical and Biomolecular Engineering Dept, University of California, Los Angeles, Los Angeles, California 90095, United States.
Simulations in three dimensions and time provide guidance on implantable, electroenzymatic glutamate sensor design; relative placement in planar sensor arrays; feasibility of sensing synaptic release events; and interpretation of sensor data. Electroenzymatic sensors based on the immobilization of oxidases on microelectrodes have proven valuable for the monitoring of neurotransmitter signaling in deep brain structures; however, the complex extracellular milieu featuring slow diffusive mass transport makes rational sensor design and data interpretation challenging. Simulations show that miniaturization of the disk-shaped device size below a radius of ∼25 μm improves sensitivity, spatial resolution, and the accuracy of glutamate concentration measurements based on calibration factors determined .
View Article and Find Full Text PDFAsian Cardiovasc Thorac Ann
September 2025
Cardiothoracic Surgery Department, Faculty of Medicine, Cairo University, Cairo, Egypt.
BackgroundThe optimal cerebral protection strategy during complex aortic surgery remains controversial, and various brain monitoring modalities are used to provide different information to improve cerebral protection. This study aims to compare the effect of the change in cerebral oxygen saturation during hypothermic circulatory arrest on the early postoperative neurological outcome in antegrade cerebral perfusion (ACP) versus retrograde cerebral perfusion (RCP) during circulatory arrest in adult aortic surgery using cerebral oximetry.MethodsThis was a cross-sectional analytic study that enrolled a total of 84 patients undergoing total circulatory arrest during adult aortic surgery divided into two groups.
View Article and Find Full Text PDFEur J Neurol
September 2025
Department of Neuroscience 'Rita Levi Montalcini', University of Torino, Torino, Italy.
Background: The factors contributing to a poor response to subthalamic nucleus deep brain stimulation (STN-DBS) in Parkinson's disease (PD) are not yet fully understood. Accordingly, predicting the outcome might be challenging particularly in those who display an optimal response to the Levodopa challenge test.
Objective: To determine which factors may contribute to poor outcome of STN-DBS in PD.
J Integr Neurosci
August 2025
School of Computer Science, Guangdong Polytechnic Normal University, 510665 Guangzhou, Guangdong, China.
Background: Emotion recognition from electroencephalography (EEG) can play a pivotal role in the advancement of brain-computer interfaces (BCIs). Recent developments in deep learning, particularly convolutional neural networks (CNNs) and hybrid models, have significantly enhanced interest in this field. However, standard convolutional layers often conflate characteristics across various brain rhythms, complicating the identification of distinctive features vital for emotion recognition.
View Article and Find Full Text PDFFront Surg
August 2025
Department of Neurology, University Hospital and Faculty of Medicine and Dentistry, Palacký University, Olomouc, Czechia.
Introduction: Peri-lead edema (PLE) is a commonly observed but often asymptomatic complication of deep brain stimulation (DBS). While usually transient and benign, severe cases of PLE can result in neurological symptoms, impacting patient outcomes. This case series explores the clinical course, management, and outcomes of symptomatic PLE in a series of five patients undergoing DBS.
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