Category Ranking
98%
Total Visits
921
Avg Visit Duration
2 minutes
Citations
20
Article Abstract
The centromedian (CM) nucleus of the thalamus is a promising target for a range of brain diseases including drug-resistant generalized and multifocal epilepsy. CM is highly connected to cortical and subcortical regions including frontoparietal/sensorimotor cortex, striatum, brainstem, and cerebellum, which are involved in some generalized epilepsy syndromes like Lennox-Gastaut syndrome (LGS). In this video, the authors describe their methodology for targeting CM for deep brain stimulation (DBS). Delineation of an optimal and consistent target will expand the efficacy of neuromodulation of CM in intractable epilepsy. The video can be found here: https://stream.cadmore.media/r10.3171/2024.4.FOCVID245.
Download full-text PDF |
Source |
|---|---|
| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11216415 | PMC |
| http://dx.doi.org/10.3171/2024.4.FOCVID245 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Facile Deep Brain Electrode Coating with MXene for Improved Electrode Performance.
Adv Healthc Mater
September 2025
Krembil Research Institute, Toronto Western Hospital, University Health Network, Toronto, ON, M5T 0S8, Canada.
Accurate brain signal recording and precise electrode placement are critical for the success of neuromodulation therapies such as deep brain stimulation (DBS). Addressing these challenges requires deep brain electrodes that provide high-quality, stable recordings while remaining compatible with high-resolution medical imaging modalities like magnetic resonance imaging (MRI). Moreover, such electrodes shall be cost-effective, easy to manufacture, and patient-compatible.
View Article and Find Full Text PDFEffectiveness of deep brain stimulation in alleviating treatment-resistant schizophrenia: a systematic review.
Eur J Transl Myol
September 2025
Department of Psychiatry, School of Medicine, Zahedan University of Medical Sciences, Zahedan, Iran; Health Promotion Research Center, Zahedan University of Medical Sciences, Zahedan, Iran; Community Nursing Research Center, Zahedan University of Medical Sciences, Zahedan.
The complexity of schizophrenia, particularly in cases resistant to traditional pharmacological treatments, poses significant challenges for clinicians and researchers. This systematic review synthesizes existing evidence on the effectiveness of deep brain stimulation in treating treatment-resistant schizophrenia. Utilizing the PRISMA 2020 guidelines, a comprehensive literature search was conducted in March 2025 using the "Connected Papers" tool and other sources such as Web of Science, PubMed, PsycINFO, Embase, and Scopus, focusing on studies related to "deep brain stimulation," "treatment-resistant schizophrenia," and "refractory schizophrenia.
View Article and Find Full Text PDFUltrasound Active Piezoelectric Nanostimulators for Long-Acting Wireless Deep Brain Electric Stimulation to Inhibit Epileptic Seizures.
Adv Mater
September 2025
State Key Laboratory of Crystal Materials, Shandong University, Jinan, Shandong, 250100, P. R. China.
Electrical deep brain stimulation is effective for epilepsy suppression, but will lead to neural tissue damage and inflammation due to implantation of electrodes and a pulse generator. Transcranial magnetic and transcranial ultrasound stimulation cannot directly generate effective electrical signals in deep brain regions. Here, the use of piezoelectric nanoparticles is proposed as wireless nanostimulators for deep brain electrical stimulation and minimally invasive suppression of epilepsy.
View Article and Find Full Text PDFPostoperative Stroke Through a Patent Foramen Ovale in a Patient With Lung Cancer: A Case Report.
Cureus
August 2025
Division of Thoracic and Cardiovascular Surgery, Niigata University Graduate School of Medical and Dental Sciences, Niigata, JPN.
Cerebral infarction is a rare but serious complication after pulmonary resection for lung cancer. A 78-year-old man with hypertension and diabetes underwent video-assisted thoracoscopic right middle lobectomy for stage IA2 adenocarcinoma. On postoperative day 1, he developed acute right hemiparesis and motor aphasia.
View Article and Find Full Text PDFIntegrating clinical anxiety scales with pre-trained language models for anxiety recognition on social media.
Health Inf Sci Syst
December 2025
Gansu Provincial Key Laboratory of Wearable Computing, School of Information Science and Engineering, Lanzhou University, Lanzhou, 730000 China.
Leveraging natural language processing to identify anxiety states from social media has been widely studied. However, existing research lacks deep user-level semantic modeling and effective anxiety feature extraction. Additionally, the absence of clinical domain knowledge in current models limits their interpretability and medical relevance.
View Article and Find Full Text PDF