Brain‐X

The present review details how nanomedicines can treat AD by overcoming the abnormal aggregation of Aβ and Tau, reducing neuronal apoptosis, alleviating neuroinflammation and promoting neuronal regeneration.

This article discusses the advancements in the treatment of Alzheimer's disease (AD) from both pharmacological and non-pharmacological perspectives. It elaborates on the advantages and disadvantages of each approach. In summary, the article documents five pharmaceutical treatment methods and five cutting-edge non-pharmacological treatment methods.

This perspective paper discusses how the development of flexible neural interfaces and devices can overcome the limitations of traditional neurotechnology and could revolutionize investigations into neural principles behind intelligence, consciousness, and behavior. Innovations in material science and device/system-level integrations further extend research capabilities to free-behaving animals, enabling profound insights into neurocognitive functions. Advances in artificial intelligence and brain organoids promise future decoding of complex neural signals. The development of transient materials and devices will provide the foundation for deploying next-generation neurotechnologies in clinics, aiming to treat complex neurogenic diseases and improve neurorehabilitation.

The integration of ChatGPT into the domains of learning and memory holds the potential to transform the entire field of education. This article explores the potential positive and negative effects of increased engagement with artificial intelligence, offering strategies for optimizing its benefits while mitigating its drawbacks, and highlights areas that can benefit from further research. In this way, it seeks to ensure that ChatGPT operates as an adjunctive educational tool that complements human cognitive processes without damaging them.

The integration of ChatGPT into the domains of learning and memory holds the potential to transform the entire field of education. This article explores the potential positive and negative effects of increased engagement with artificial intelligence, offering strategies for optimizing its benefits while mitigating its drawbacks, and highlights areas that can benefit from further research. In this way, it seeks to ensure that ChatGPT operates as an adjunctive educational tool that complements human cognitive processes without damaging them.

Sepsis-associated encephalopathy (SAE), one of the most severe complications of sepsis, presents with diverse clinical symptoms and involves complex pathophysiological mechanisms, making its early diagnosis and targeted treatment challenging. Its pathogenesis primarily arises from inflammation-induced disruption of the blood-brain barrier, aberrant activation and dysfunction of cells, and disturbances in neurotransmitter transmission. Leveraging these pathological insights, integrating biomarkers with existing diagnostic modalities, and targeting core mechanisms hold promise for achieving precise diagnosis and treatment of SAE.

This handbook comprises four chapters: Preprocessing Single-Subject Data, Basic Python Data Operations, Multiple-Subject Analysis, and Advanced EEG Analysis. We provide a standardized procedure for preprocessing EEG data, guide readers through detailed examples on how to read data from multiple subjects, and delve into three popular analysis methodologies.

This review summarizes and classifies the research in recent years and introduces the pathogenesis, diagnosis, and treatment methods of depression. The study of the principles of musical interventions for depression and the practice of musical interventions for depression with various etiologies are highlighted. It is hoped to introduce the progress of depression research and the prospect of music therapy.

This comprehensive review introduces the transformative role of transformer-based models in neuroscience, neurology, and psychiatry. It discusses how these models, originally designed for sequential data analysis, have evolved to effectively analyze complex biomedical data, significantly enhancing our understanding of brain functions and dysfunctions.