Comparative Assessment of Biophysical Signal Modalities for Early Detection of Neurological Disorders presents a comprehensive exploration of modern neurodiagnostic technologies and their transformative impact on early identification of brain disorders. Integrating electrical, hemodynamic, metabolic, and structural modalities, the book examines how emerging sensors and advanced computational methods—especially machine learning and multimodal fusion—are reshaping preventive neurology. Through clear explanations and research-driven insights, the authors highlight the strengths, limitations, and translational challenges of each modality, offering a uniquely comparative and forward-looking perspective.This book is an essential resource for neuroscientists, biomedical engineers, clinicians, and graduate students seeking a deeper understanding of early-stage biomarkers and innovative diagnostic frameworks. By bridging scientific foundations with real-world clinical implementation, it provides a roadmap for developing accessible, reliable, and impactful neurotechnologies aimed at detecting neurological disorders before irreversible damage occurs.
