الصفحة 1
الصفحة 1
Micro-, Meso- and Macro-Connectomics of the Brain
Highlights cutting-edge methods that can accelerate progress in elucidating static ‘hard-wired’ circuits of the brain as well as dynamic interactions that are vital for brain function. The power of connectomic approaches in characterizing abnormal circuits in the many brain disorders that afflict humankind is considered. Experts in computational neuroscience and network theory provide perspectives needed for synthesizing across different scales in space and time. Altogether, this book provides an integrated view of the challenges and opportunities in deciphering brain circuits in health and disease.
Exosomes based drug delivery strategies for brain disorders
Provides a comprehensive overview of the role of exosomes in brain diseases, including stroke, multiple sclerosis, Parkinson's disease, Alzheimer's disease, epilepsy, and depression. It covers the basics of exosome biogenesis, composition, and synthesis, as well as the therapeutic potential of exosomes in brain disorders. The correlation between exosomes and neuroinflammation, the challenges of using exosomes as a novel carrier, and engineered exosomes to deliver therapeutic protein are covered well in this book. Use of radiolabelled exosomes as a diagnostic tool and the toxicity studies of exosomes with potential overcome approaches. It is an essential resource for researchers, clinicians, and healthcare professionals working in the field of exosome research, especially on its applications in brain disorders.
Machine learning for brain disorders
Organized into five parts. Part One presents the fundamentals of ML. Part Two looks at the main types of data used to characterize brain disorders, including clinical assessments, neuroimaging, electro- and magnetoencephalography, genetics and omics data, electronic health records, mobile devices, connected objects and sensors. Part Three covers the core methodologies of ML in brain disorders and the latest techniques used to study them. Part Four is dedicated to validation and datasets, and Part Five discusses applications of ML to various neurological and psychiatric disorders.
