The latest knowledge on molecular motors is vital for the understanding of a wide range of biological and medical topics: cell motility, organelle movement, virus transport, developmental asymmetry, myopathies, and sensory defects are all related to the function or malfunction of these minute molecular machines. Since there is a vast amount of information on motor mechanisms and potential biomedical and nanobiotechnological applications, this handbook fulfills the need for a collection of current research results on the functionality, regulation, and interactions of cytoskeletal, DNA, and rotary motors. Here, leading experts present a concise insight, ranging from atomic structure, biochemistry, and biophysics to cell biology, developmental biology and pathology. Basic principles and applications make this book a valuable reference tool for researchers, professionals, and clinicians alike - all set to become a "classic" in the years to come.

This comprehensive reference provides a detailed overview of current concepts regarding the cause of Parkinson's disease-emphasizing the issues involved in the design, implementation, and analysis of epidemiological studies of parkinsonism.

Stem Cells in Neurotoxicology, Volume Twelve in the Advances in Neurotoxicology series, presents interesting chapters written by an international board of authors. Chapters in this new release include Brain organoids as a translational model of human developmental neurotoxicity, Self-organizing human neuronal cultures in the modeling of environmental impacts on learning and intelligence, Utilization of human stem cell/neural progenitor tests to examine neurotoxic impacts on differentiation, Characterization of neuronal and other cellular sub-types in human stem cell cortical neuron differentiations, Utility of human stem cell models to study persistent neurotoxicity, and Utility of human stem cell models to study chronic neurotoxicity. - Provides the latest information on Neurotoxicology - Offers outstanding and original reviews on Neurotoxicology - Serves as an indispensable reference for researchers and students alike

Brain imaging has been successfully used to generate image-based biomarkers for various neurological and psychiatric disorders, such as Alzheimer’s and related dementias, Parkinson’s disease, stroke, traumatic brain injury, brain tumors, depression, schizophrenia, etc. However, accurate brain image-based diagnosis at the individual level remains elusive, and this applies to the diagnosis of neuropathological diseases as well as clinical syndromes. In recent years, deep learning techniques, due to their ability to learn complex patterns from large amounts of data, have had remarkable success in various fields, such as computer vision and natural language processing. Applying deep learning methods to brain imaging-assisted diagnosis, while promising, is facing challenges such as insufficiently labeled data, difficulty in interpreting diagnosis results, variations in data acquisition in multi-site projects, integration of multimodal data, clinical heterogeneity, etc. The goal of this research topic is to gather cutting-edge research that showcases the application of deep learning methods in brain imaging for the diagnosis of neurological and psychiatric disorders. We encourage submissions that demonstrate novel approaches to overcome various abovementioned difficulties and achieve more accurate, reliable, generalizable, and interpretable diagnosis of neurological and psychiatric disorders in this field.