Electrode Arrays for Detecting and Modulating Deep Brain Neural Information in Primates: a Review DOI Creative Commons
Siyu Zhang, Yilin Song,

Shiya Lv

et al.

Cyborg and Bionic Systems, Journal Year: 2025, Volume and Issue: 6

Published: Jan. 1, 2025

Primates possess a more developed central nervous system and higher level of intelligence than rodents. Detecting modulating deep brain activity in primates enhances our understanding neural mechanisms, facilitates the study major diseases, enables brain–computer interactions, supports advancements artificial intelligence. Traditional imaging methods such as magnetic resonance imaging, positron emission computed tomography, scalp electroencephalogram are limited spatial resolution. They cannot accurately capture signals from individual neurons. With progress microelectromechanical systems other micromachining technologies, single-neuron detection stimulation technology rodents based on microelectrodes has made important progress. However, compared with rodents, human nonhuman have larger volume that needs deeper implantation depth, test object safety device preparation requirements. Therefore, high-resolution devices suitable for long-term brains urgently needed. This paper reviewed electrode array used electrophysiological electrochemical detections primates’ brains. The research recording technologies was introduced perspective type structures, their potential value neuroscience clinical disease treatments discussed. Finally, it is speculated future electrodes will lot room development terms flexibility, high resolution, brain, throughput. improvements forms process expand activities, bring new opportunities challenges further neuroscience.

Language: Английский

Inorganic Nanoparticles and Blood-Brain Barrier Modulation: Advancing Targeted Neurological Therapies DOI
Zahra Razavi, F. S. Razavi,

Seyed Sina Alizadeh

et al.

European Journal of Medicinal Chemistry, Journal Year: 2025, Volume and Issue: 287, P. 117357 - 117357

Published: Feb. 5, 2025

Language: Английский

Citations

5
The Anti-inflammatory Potential of Tricyclic Antidepressants (TCAs): A Novel Therapeutic Approach to Atherosclerosis Pathophysiology DOI Creative Commons
Majid Eslami, Marzieh Monemi, Masoud Nazari

et al.

Pharmaceuticals, Journal Year: 2025, Volume and Issue: 18(2), P. 197 - 197

Published: Jan. 31, 2025

Atherosclerosis, a chronic inflammatory disease, is driven by complex molecular mechanisms involving cytokines and immune pathways. According to recent research, tricyclic antidepressants (TCAs), which are typically prescribed treat depressive disorders, have strong anti-inflammatory effects. TCAs, including imipramine amitriptyline, alter signaling cascades, include lowering the levels pro-inflammatory like TNF-α, IL-1β, IL-6 inhibiting NF-κB activation. By NLRP3 inflammasome suppressing pathways JAK/STAT, MAPK, PI3K, these effects produced, improving endothelial function reducing oxidative stress. The intricacy of TCAs' actions has demonstrated existence contradictory findings about how they levels. dependence heterogeneity reaction on use particular TCAs experimental settings shown fact that some studies show reduced production, while others indicate increases or no changes. This review explores multifaceted through modulate inhibit activation, reduce stress, suppress production key mediators, TNF-α. They also regulate Toll-like receptor (TLR) NOD-, LRR-, NLR family pyrin domain-containing protein 3 (NLRP3) release IL-1β IL-18, critical drivers dysfunction plaque instability. Given their capacity target molecules pathways, provide great potential in therapy atherosclerosis, particularly for individuals with associated depression cardiovascular risk factors. Nevertheless, further research essential clarify precise mechanisms, resolve inconsistencies current findings, establish clinical applicability as agents atherosclerosis management.

Language: Английский

Citations

2
Why is vestibular migraine associated with many comorbidities? DOI
Yanmin Ma,

Daopei Zhang,

Huailiang Zhang

et al.

Journal of Neurology, Journal Year: 2024, Volume and Issue: unknown

Published: Sept. 20, 2024

Language: Английский

Citations

4
New Machine Learning Method for Medical Image and Microarray Data Analysis for Heart Disease Classification DOI
Jinglan Guo, James C. Liao, Y. H. Chen

et al.

Deleted Journal, Journal Year: 2025, Volume and Issue: unknown

Published: April 1, 2025

Microarray technology has become a vital tool in cardiovascular research, enabling the simultaneous analysis of thousands gene expressions. This capability provides robust foundation for heart disease classification and biomarker discovery. However, high dimensionality, noise, sparsity microarray data present significant challenges effective analysis. Gene selection, which aims to identify most relevant subset genes, is crucial preprocessing step improving accuracy, reducing computational complexity, enhancing biological interpretability. Traditional selection methods often fall short capturing complex, nonlinear interactions among limiting their effectiveness tasks. In this study, we propose novel framework that leverages deep neural networks (DNNs) optimizing using data. DNNs, known ability model patterns, are integrated with feature techniques address high-dimensional The proposed method, DeepGeneNet (DGN), combines DNN-based into unified framework, ensuring performance meaningful insights underlying mechanisms. Additionally, incorporates hyperparameter optimization innovative U-Net segmentation further enhance accuracy. These optimizations enable DGN deliver scalable results, outperforming traditional both predictive accuracy Experimental results demonstrate approach significantly improves compared other methods. By focusing on interplay between learning, work advances field genomics, providing interpretable future applications.

Language: Английский

Citations

0
Electrode Arrays for Detecting and Modulating Deep Brain Neural Information in Primates: a Review DOI Creative Commons
Siyu Zhang, Yilin Song,

Shiya Lv

et al.

Cyborg and Bionic Systems, Journal Year: 2025, Volume and Issue: 6

Published: Jan. 1, 2025

Primates possess a more developed central nervous system and higher level of intelligence than rodents. Detecting modulating deep brain activity in primates enhances our understanding neural mechanisms, facilitates the study major diseases, enables brain–computer interactions, supports advancements artificial intelligence. Traditional imaging methods such as magnetic resonance imaging, positron emission computed tomography, scalp electroencephalogram are limited spatial resolution. They cannot accurately capture signals from individual neurons. With progress microelectromechanical systems other micromachining technologies, single-neuron detection stimulation technology rodents based on microelectrodes has made important progress. However, compared with rodents, human nonhuman have larger volume that needs deeper implantation depth, test object safety device preparation requirements. Therefore, high-resolution devices suitable for long-term brains urgently needed. This paper reviewed electrode array used electrophysiological electrochemical detections primates’ brains. The research recording technologies was introduced perspective type structures, their potential value neuroscience clinical disease treatments discussed. Finally, it is speculated future electrodes will lot room development terms flexibility, high resolution, brain, throughput. improvements forms process expand activities, bring new opportunities challenges further neuroscience.

Language: Английский

Citations

0