Deep Brain Stimulation最新文献

Targeting pain with deep brain stimulation: Insights into the thalamus and associated structures 针对疼痛的深部脑刺激：洞察丘脑和相关结构

Deep Brain Stimulation Pub Date : 2026-06-01 Epub Date: 2025-12-08 DOI: 10.1016/j.jdbs.2025.12.001

Rabia Bouali-Benazzouz , Pascal Fossat , Abdelhamid Benazzouz

{"title":"Targeting pain with deep brain stimulation: Insights into the thalamus and associated structures","authors":"Rabia Bouali-Benazzouz , Pascal Fossat , Abdelhamid Benazzouz","doi":"10.1016/j.jdbs.2025.12.001","DOIUrl":"10.1016/j.jdbs.2025.12.001","url":null,"abstract":"<div><div>Chronic pain is a major public health issue, and despite advances in understanding its pathophysiology, current treatments remain insufficient, significantly affecting patients' quality of life. Existing therapies, including opioids, antidepressants and non-steroidal anti-inflammatory drugs, target specific mechanisms but fail to address the multifactorial nature of chronic pain, which is often accompanied by comorbidities like depression and anxiety. In cases like neuropathic pain, where pharmacological treatments are ineffective, alternatives such as deep brain stimulation (DBS) have gained attention. Although widely used for movement disorders, particularly in Parkinson's disease, DBS has the potential to treat pain by targeting identified deep brain structures while minimizing side effects. Neuropathic pain is linked to changes in several brain networks making up the so-called pain matrix, which includes the thalamus, the cornerstone of sensory, emotional and cognitive dimensions. This review focuses on the use of DBS of the thalamus and closely associated brain structures, such as the periaqueductal and periventricular gray, anterior cingulate cortex and insula, to treat pain.</div></div>","PeriodicalId":100359,"journal":{"name":"Deep Brain Stimulation","volume":"12 ","pages":"Pages 1-8"},"PeriodicalIF":0.0,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145718975","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Neurophysiology in deep brain stimulation: Bridging clinical practice and systems neuroscience 脑深部刺激中的神经生理学：连接临床实践和系统神经科学

Deep Brain Stimulation Pub Date : 2026-06-01 Epub Date: 2026-02-04 DOI: 10.1016/j.jdbs.2026.02.001

Julie Lewentz , Mark J. Roberts , Marcus L.F. Janssen

引用次数: 0

The quest for a target and the beginning of the DBS-story 寻找目标和dbs故事的开始

Deep Brain Stimulation Pub Date : 2026-06-01 Epub Date: 2025-12-11 DOI: 10.1016/j.jdbs.2025.12.002

Abdelhamid Benazzouz

引用次数: 0

Rehabilitation based on brain-computer interface for aphasic patients: A systematic review 基于脑机接口的失语症患者康复：系统综述

Deep Brain Stimulation Pub Date : 2025-12-01 Epub Date: 2025-11-20 DOI: 10.1016/j.jdbs.2025.11.001

Massimiliano Domenico Rizzaro , Luigi Gianmaria Remore , Valeria Lo Faso , Giorgio Fiore , Luigi Schisano , Elena Pirola , Antonella Ampollini , Giulio Andrea Bertani , Stefania Elena Navone , Giovanni Marfia , Marco Locatelli

引用次数: 0

Contribution of animal models to DBS research in movement and psychiatric disorders: A review 动物模型对运动和精神障碍DBS研究的贡献综述

Deep Brain Stimulation Pub Date : 2025-12-01 Epub Date: 2025-10-06 DOI: 10.1016/j.jdbs.2025.10.001

David Dominguez-Paredes, Berkhan Genc, Yasin Temel, Ali Jahanshahi

引用次数: 0

Prediction of STN-DBS outcome in Parkinson’s disease using machine learning 利用机器学习预测帕金森病STN-DBS预后

Deep Brain Stimulation Pub Date : 2025-12-01 Epub Date: 2025-10-16 DOI: 10.1016/j.jdbs.2025.10.002

Laurens A. Biesheuvel , Jesús Fuentes , Rob M.A. de Bie , Bernadette C.M. van Wijk , P. Rick Schuurman , Andreas Husch , Jorge Goncalves , Martijn Beudel

{"title":"Prediction of STN-DBS outcome in Parkinson’s disease using machine learning","authors":"Laurens A. Biesheuvel , Jesús Fuentes , Rob M.A. de Bie , Bernadette C.M. van Wijk , P. Rick Schuurman , Andreas Husch , Jorge Goncalves , Martijn Beudel","doi":"10.1016/j.jdbs.2025.10.002","DOIUrl":"10.1016/j.jdbs.2025.10.002","url":null,"abstract":"<div><div>Deep brain stimulation (DBS) targeting the subthalamic nucleus (STN) is an established therapy for advanced Parkinson’s disease (PD), but outcomes vary significantly among patients. Using a dataset of 408–420 PD patients (depending on outcome), we developed machine learning models to predict outcomes of STN-DBS based on preoperative clinical markers. Regression models predicted scores on the Movement Disorders Society Unified Parkinson’s Disease Rating Scale (MDS-UPDRS) part III, and subscores for Tremor, Axial symptoms, and Bradykinesia & Rigidity. The models achieved root mean square errors (RMSE) of 9.1, 2.6, 2.5, and 5.3, respectively. These results demonstrate the models’ ability to provide accurate predictions despite the heterogeneity of PD. This approach refines patient selection by forecasting postoperative outcomes and enables personalized treatment planning. Future iterations will explore additional predictors, such as neuroimaging data, to further improve model performance and support clinical decision-making in DBS therapy. This study advances the use of machine learning in predictive medicine for PD.</div></div>","PeriodicalId":100359,"journal":{"name":"Deep Brain Stimulation","volume":"11 ","pages":"Pages 1-9"},"PeriodicalIF":0.0,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145340502","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Contribution of animal models to deep brain stimulation research in movement and psychiatric disorders 动物模型对运动和精神障碍的深部脑刺激研究的贡献

Deep Brain Stimulation Pub Date : 2025-11-01 Epub Date: 2025-07-10 DOI: 10.1016/j.jdbs.2025.07.001

David Dominguez-Paredes, Berkhan Genc, Ali Jahanshahi

引用次数: 0

Neuroimaging in deep brain stimulation: Bridging technical progress with clinical practice 脑深部刺激中的神经成像：连接技术进步与临床实践

Deep Brain Stimulation Pub Date : 2025-11-01 Epub Date: 2025-08-05 DOI: 10.1016/j.jdbs.2025.08.001

Jackson Tyler Boonstra , Berkhan Genç

引用次数: 0

Minimally invasive neuromodulation using magnetic nanomaterials 利用磁性纳米材料进行微创神经调节

Deep Brain Stimulation Pub Date : 2025-11-01 Epub Date: 2025-07-16 DOI: 10.1016/j.jdbs.2025.07.002

Anouk Wolters , Danijela Gregurec , Sarah-Anna Hescham

{"title":"Minimally invasive neuromodulation using magnetic nanomaterials","authors":"Anouk Wolters , Danijela Gregurec , Sarah-Anna Hescham","doi":"10.1016/j.jdbs.2025.07.002","DOIUrl":"10.1016/j.jdbs.2025.07.002","url":null,"abstract":"<div><div>Recent advances in neural engineering have deepened our insight into the relationship between neural activity, brain circuits, and behaviour, paving the way for new neuromodulation strategies. Techniques such as optogenetics and chemogenetics, alongside external stimulation techniques such as deep brain stimulation (DBS), have enabled activation and inhibition of neurons. However, these methods are often limited by their invasiveness, potential off-target effects, and challenges in temporal resolution. Existing non-invasive approaches, such as transcranial magnetic stimulation and focused ultrasound (FUS), show clinical promise but are constrained by spatial precision and stimulation depth limitations in the brain. Magnetic nanomaterials offer a promising, minimally invasive alternative by directly interacting with the nervous system at cellular and molecular levels. When exposed to external magnetic fields (MFs), these nanoscale materials can modulate neuronal activity through mechanisms such as localised electric polarisation (magnetoelectric), heat dissipation (magnetothermal), or mechanical force via magnetic moment (magnetomechanical), enabling targeted neuronal excitation or inhibition. To advance this technology, future research is needed to optimise nanomaterial biocompatibility, particularly through surface coatings, and on developing compact, wearable systems to replace existing stationary and bulky electronics that drive MFs for minimally invasive neuromodulation.</div></div>","PeriodicalId":100359,"journal":{"name":"Deep Brain Stimulation","volume":"10 ","pages":"Pages 24-32"},"PeriodicalIF":0.0,"publicationDate":"2025-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144829990","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

No significant correlation of subthalamic nuclei diffusion measures and disease burden: Evidence from 130 Parkinson’s Disease Cases 丘脑下核扩散测量与疾病负担无显著相关性：来自130例帕金森病病例的证据

Deep Brain Stimulation Pub Date : 2025-11-01 Epub Date: 2025-06-19 DOI: 10.1016/j.jdbs.2025.06.002

Karl Hartmann , Joanna Bielawski , Klaus-Peter Stein , Belal Neyazi , Nikolai Tonchev , Jörn Kaufmann , Dirk Schomburg , Aiden Haghikia , I. Erol Sandalcioglu , Jürgen Voges

{"title":"No significant correlation of subthalamic nuclei diffusion measures and disease burden: Evidence from 130 Parkinson’s Disease Cases","authors":"Karl Hartmann , Joanna Bielawski , Klaus-Peter Stein , Belal Neyazi , Nikolai Tonchev , Jörn Kaufmann , Dirk Schomburg , Aiden Haghikia , I. Erol Sandalcioglu , Jürgen Voges","doi":"10.1016/j.jdbs.2025.06.002","DOIUrl":"10.1016/j.jdbs.2025.06.002","url":null,"abstract":"<div><h3>Background</h3><div>MRI diffusion measures have been shown to be valuable imaging tools for assessing neuronal degeneration in vivo. In idiopathic Parkinson's disease, diffusion measures of mesencephalic nuclei appeared to correlate with disease manifestations. However, large selective cohorts are lacking to define the clinical relevance of such potential MRI biomarkers.</div></div><div><h3>Method</h3><div>This study investigates the relevance of 3 Tesla diffusion MRI of the subthalamic nucleus (STN) as a potential imaging biomarker. Experts in deep brain stimulation manually segmented the STN on T2-weighted 3 T MRI scans to create templates for measuring mean diffusivity and fractional anisotropy on aligned diffusion-weighted MRI scans.</div></div><div><h3>Results</h3><div>Demographic data, including age, sex, handedness, and specifications of neurological symptoms such as motor deficit severity, were collected using the Unified Parkinson’s Disease Rating Scale in 130 patients at disease onset and progression. Despite a homogeneous study cohort no statistically significant correlations were found between local diffusion measures of the STN and contralateral clinical parameters.</div></div><div><h3>Conclusion</h3><div>Unlike previous studies that suggested potential correlations between mesencephalic diffusion measures and disease manifestations, this study did not confirm such associations for the subthalamic nucleus at 3 T MRI in a large and homogeneous patient cohort. In the future research might focus on patients in earlier stages of the disease and employ higher field strength MRIs with increased spatial resolution to investigate the clinical relevance of MRI diffusion measures of the STN region in Parkinson's disease.</div></div>","PeriodicalId":100359,"journal":{"name":"Deep Brain Stimulation","volume":"10 ","pages":"Pages 1-12"},"PeriodicalIF":0.0,"publicationDate":"2025-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144480140","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0