
Brain Research Bulletin, Journal Year: 2024, Volume and Issue: unknown, P. 111104 - 111104
Published: Oct. 1, 2024
Language: Английский
Brain Research Bulletin, Journal Year: 2024, Volume and Issue: unknown, P. 111104 - 111104
Published: Oct. 1, 2024
Language: Английский
International Journal of Pharmaceutics, Journal Year: 2025, Volume and Issue: 670, P. 125186 - 125186
Published: Jan. 8, 2025
The blood-brain barrier (BBB) plays a vital role in protecting the central nervous system (CNS) by preventing entry of harmful pathogens from bloodstream. However, this also presents significant obstacle when it comes to delivering drugs for treatment neurodegenerative diseases and brain cancer. Recent breakthroughs nanotechnology have paved way creation wide range nanoparticles (NPs) that can serve as carriers diagnosis therapy. Regarding their promising properties, organic NPs potential be used effective drug delivery across BBB based on recent advancements. These remarkable ability penetrate using various mechanisms. This review offers comprehensive examination intricate structure distinct properties BBB, emphasizing its crucial function preserving balance regulating transport ions molecules. disruption conditions such stroke, Alzheimer's disease, Parkinson's disease highlights importance developing creative approaches drugs. Through encapsulation therapeutic molecules precise targeting processes vasculature, NP formulations present hopeful strategy improve BBB. We explore changes pathological investigate factors affect successful into brain. In addition, we most systems associated with shown positive results treating ischemic disorders. opens up new possibilities nanotechnology-based therapies cerebral diseases.
Language: Английский
Citations
8Ageing Research Reviews, Journal Year: 2024, Volume and Issue: 102, P. 102545 - 102545
Published: Oct. 17, 2024
Language: Английский
Citations
10Neuroscience, Journal Year: 2025, Volume and Issue: unknown
Published: Jan. 1, 2025
Language: Английский
Citations
1Neuroscience, Journal Year: 2025, Volume and Issue: 569, P. 161 - 183
Published: Feb. 7, 2025
Language: Английский
Citations
1International Journal of Computational Intelligence Systems, Journal Year: 2025, Volume and Issue: 18(1)
Published: Feb. 27, 2025
Language: Английский
Citations
1Journal of Radiation Research and Applied Sciences, Journal Year: 2025, Volume and Issue: 18(1), P. 101299 - 101299
Published: Jan. 20, 2025
Language: Английский
Citations
0European Child & Adolescent Psychiatry, Journal Year: 2025, Volume and Issue: unknown
Published: Jan. 24, 2025
Language: Английский
Citations
0Frontiers in Medicine, Journal Year: 2025, Volume and Issue: 12
Published: Jan. 29, 2025
Neurodegenerative diseases, characterized by progressive neuronal loss and cognitive impairments, pose a significant global health challenge. This study explores the potential of nanotherapeutics as promising approach to enhance drug delivery across physiological barriers, particularly blood–brain barrier (BBB) blood-cerebrospinal fluid (B-CSFB). By employing nanoparticles, this research aims address critical challenges in diagnosis treatment conditions such Alzheimer’s, Parkinson’s, Huntington’s diseases. The multifactorial nature these disorders necessitates innovative solutions that leverage nanomedicine improve solubility, circulation time, targeted while minimizing off-target effects. findings underscore importance advancing applications develop effective therapeutic strategies can alleviate burden neurodegenerative diseases on individuals healthcare systems.
Language: Английский
Citations
0Frontiers in Computational Neuroscience, Journal Year: 2025, Volume and Issue: 19
Published: Jan. 31, 2025
An optimal arrangement of electrodes during data collection is essential for gaining a deeper understanding neonatal sleep and assessing cognitive health in order to reduce technical complexity skin irritation risks. Using electroencephalography (EEG) data, long-short-term memory (LSTM) classifier categorizes states. 16,803 30-second segment was collected from 64 infants between 36 43 weeks age at Fudan University Children's Hospital train test the proposed model. To enhance performance an LSTM-based classification model, 94 linear nonlinear features time frequency domains with three novel (Detrended Fluctuation Analysis (DFA), Lyapunov exponent, multiscale fluctuation entropy) are extracted. imbalance classes solved using SMOTE technique. In addition, most significant identified prioritized principal component analysis (PCA). comparison other single channels, C3 channel has accuracy value 80.75% ± 0.82%, kappa 0.76. Classification four left-side higher (82.71% 0.88%) than right-side (81.14% 0.77%), while values respectively 0.78 Study results suggest that specific EEG channels play important role determining stage classification, as well suggesting electrode configuration. Moreover, this research can be used improve care by monitoring sleep, which allow early detection disorders. As result, study captures information effectively channel, reducing computing load maintaining same time. With incorporation frequency-domain into staging, newborn dynamics irregularities better understood.
Language: Английский
Citations
0Metabolic Brain Disease, Journal Year: 2025, Volume and Issue: 40(2)
Published: Feb. 15, 2025
Language: Английский
Citations
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