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Molecular Imaging for Brain Diseases

Molecular Imaging for Brain Diseases

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ISBN

9781071644942

Authors

Daichi Sone

Edition Number

1

Copyright Year

2025

Master Molecular Imaging for Brain Diseases: Precision Techniques and Clinical Insights

Step into the forefront of brain diagnostics with this essential new volume detailing molecular imaging techniques that illuminate the structural and functional complexities of brain disorders. Designed for translational relevance and methodological rigor, this text bridges preclinical research and clinical application through unmatched detail and expert guidance.

Key Features:

Clinical-Research Synergy: Expert contributors offer comprehensive protocols for imaging glutamate, tau, amyloid, dopamine, opioid receptors, and glucose metabolism—all aligned with diagnostic needs in neurodegenerative and psychiatric disorders.
Detailed Protocols with Expert Tips: Designed in the Neuromethods style, each chapter walks readers through lab-ready methods—with critical "key notes" to ensure reproducible success.
Advanced Imaging Modalities: Covers PET, SPECT, and 1H-MRS applications in conditions such as Alzheimer’s, schizophrenia, traumatic brain injury, epilepsy, neuroinflammation, and blood–brain barrier dysfunction.
Data Analytics with AI Integration: Includes cutting-edge approaches for leveraging artificial intelligence and machine learning in image quantification, biomarker discovery, and analytical validation.
Laboratory-to-Clinic Bridge: Balances operational practicality with clinical relevance—enabling researchers and clinicians to translate imaging protocols into diagnostic and therapeutic decision-making tools.

Ideal for neuroscientists, imaging specialists, neurologists, psychiatry researchers, and translational scientists, this volume equips professionals with the procedural accuracy and context to adopt molecular imaging methods confidently. Whether implementing new protocols or interpreting advanced scans, this book offers the detail, discipline, and direction essential to advancing brain disease diagnosis and research.

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