Next-generation neurostimulators capable of running closed-loop adaptive deep brain stimulation (aDBS) are about to enter the clinical landscape for the treatment of Parkinson's disease. Already promising results using aDBS have been achieved for symptoms such as bradykinesia, rigidity and motor fluctuations. However, the heterogeneity of freezing of gait (FoG) with its wide range of clinical presentations and its exacerbation with cognitive and emotional load make it more difficult to predict and treat. Currently, a successful aDBS strategy to ameliorate FoG lacks a robust oscillatory biomarker. Furthermore, the technical implementation of suppressing an upcoming FoG episode in real-time represents a significant technical challenge. This review describes the neurophysiological signals underpinning FoG and explains how aDBS is currently being implemented. Furthermore, we offer a discussion addressing both theoretical and practical areas that will need to be resolved if we are going to be able to unlock the full potential of aDBS to treat FoG.
Download full-text PDF |
Source |
|---|---|
| http://dx.doi.org/10.1007/s00415-025-13000-8 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Active microgel particle swarms for intrabronchial targeted delivery.
Sci Adv
March 2025
School of Science and Engineering, Chinese University of Hong Kong, Shenzhen, China.
Intrabronchial delivery of therapeutic agents is critical to the treatment of respiratory diseases. Targeted delivery is demanded because of the off-target accumulation of drugs in normal lung tissues caused by inhalation and the limited motion dexterity of clinical bronchoscopes in tortuous bronchial trees. Herein, we developed microrobotic swarms consisting of magnetic hydrogel microparticles to achieve intrabronchial targeted delivery.
View Article and Find Full Text PDFCould adaptive deep brain stimulation treat freezing of gait in Parkinson's disease?
J Neurol
March 2025
Centre for Neurology, Department of Neurodegenerative Diseases, and Hertie Institute for Clinical Brain Research, University of Tübingen, Hoppe-Seyler-Str. 3, 72076, Tübingen, Germany.
Next-generation neurostimulators capable of running closed-loop adaptive deep brain stimulation (aDBS) are about to enter the clinical landscape for the treatment of Parkinson's disease. Already promising results using aDBS have been achieved for symptoms such as bradykinesia, rigidity and motor fluctuations. However, the heterogeneity of freezing of gait (FoG) with its wide range of clinical presentations and its exacerbation with cognitive and emotional load make it more difficult to predict and treat.
View Article and Find Full Text PDFDifferent understandings, different responses: experiences of racism among highly educated, second generation Black Germans.
Front Sociol
February 2025
Faculty of Social and Educational Sciences, University of Passau, Passau, Germany.
This article argues that there is a close relationship between individuals' understandings of specific incidents of racism, their ideas of how racism operates, and their (repertoires of) responses to such incidents. The argument is based on a qualitative interview study with 21 highly educated Black Germans with at least one parent born outside Germany, and draws on both the extant literature on responses to experiences of ethnoracial exclusion and research into how people make sense of such experiences. The analysis specifically explores two contrasting types of interviewees: Type 1 felt that they were constantly and potentially always affected by racism and had a broad knowledge of racism.
View Article and Find Full Text PDFAdvancements in cache management: a review of machine learning innovations for enhanced performance and security.
Front Artif Intell
February 2025
Department of Computer Science & Engineering, Indian Institute of Technology Ropar, Rupnagar, India.
Machine learning techniques have emerged as a promising tool for efficient cache management, helping optimize cache performance and fortify against security threats. The range of machine learning is vast, from reinforcement learning-based cache replacement policies to Long Short-Term Memory (LSTM) models predicting content characteristics for caching decisions. Diverse techniques such as imitation learning, reinforcement learning, and neural networks are extensively useful in cache-based attack detection, dynamic cache management, and content caching in edge networks.
View Article and Find Full Text PDFProceedings of the 12th annual deep brain stimulation think tank: cutting edge technology meets novel applications.
Front Hum Neurosci
February 2025
Norman Fixel Institute for Neurological Diseases, University of Florida, Gainesville, FL, United States.
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.
View Article and Find Full Text PDFWant AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!