Electrophysiological Biomarkers of Neuropsychiatric Brain Dynamics: EEG, Network Physiology, and Clinical Inference is a comprehensive scientific treatise on EEG-derived biomarkers in neuropsychiatry. Spanning 46 chapters and 10 appendices, this 1,081-page volume covers the biophysical foundations of the EEG signal, families of electrophysiological biomarkers (spectral power, alpha dynamics, theta, beta, gamma, connectivity, graph measures, microstates, aperiodic activity, complexity, ERPs, and sleep EEG), neuropsychiatric disorders and their brain-dynamic signatures, and clinical translation including formulation, machine learning, treatment selection, longitudinal monitoring, and ethics. The core doctrine is deliberately conservative: an EEG biomarker is not a diagnosis but a physiological constraint on interpretation, most useful when it alters probability, clarifies mechanism, identifies danger, or guides action. Written by Richard Murdoch Montgomery, MD, PhD, for clinicians, computational neuroscientists, and advanced trainees. Published by The Scottish Science Society.
