Category Ranking

98%

Total Visits

921

Avg Visit Duration

2 minutes

Citations

20

Article Abstract

The ability to stimulate deep brain regions in a focal manner brings new opportunities for treating brain disorders. Temporal interference (TI) stimulation has been suggested as a method to achieve focused stimulation in deep brain targets. Individual-level knowledge of the interferential currents has permitted personalizing TI montage via subject-specific digital human head models, facilitating the estimation of interferential electric currents in the brain. While this individual approach offers a high degree of personalization, the significant intra-and inter-individual variability among specific head models poses challenges when comparing electric-field doses. Furthermore, MRI acquisition to develop a personalized head model, followed by precise methods for placing the optimized electrode positions, is complex and not always available in various clinical settings. Instead, the registration of individual electric fields into brain templates has offered insights into population-level effects and enabled montage optimization using common scalp landmarks. However, population-level knowledge of the interferential currents remains scarce. This work aimed to investigate the effectiveness of targeting deep brain areas using TI in different populations. The results showed a trade-off between deep stimulation and unwanted cortical neuromodulation, which is target-dependent at the group level. A consistent modulated electric field appeared in the deep brain target when the same montage was applied in different populations. However, the performance in terms of focality and variability varied when the same montage was used among populations. Also, group-level TI exhibited greater focality than tACS, reducing unwanted neuromodulation volume in the cortical part by at least 1.5 times, albeit with higher variability. These results provide valuable population-level insights when considering TI montage selection.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11066208PMC
http://dx.doi.org/10.3389/fnhum.2024.1308549DOI Listing

Publication Analysis

Top Keywords

deep brain
20
population-level insights
8
temporal interference
8
brain
8
knowledge interferential
8
interferential currents
8
head models
8
deep
6
montage
5
population-level
4

Similar Publications

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 PDF

Effectiveness 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 PDF

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 PDF

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 PDF

Integrating 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