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Descripción

Neuroinflammation in Vascular Dementia describes the molecular mechanisms that drive this transition to mixed pathology, along with the newer lifestyle and pharmacological approaches that can reduce the incidence of dementia. The book describes the practical aspects of neuroimaging methods, along with novel neuroimaging methods, using MRI, that are becoming important clinically. The author also discusses how the diagnosis of dementias will be greatly aided by biomarkers from neuroimaging, blood and CSF biochemistry and neuropsychological testing in the future. This information will be used in precision medicine to design treatment strategies based on the most likely causes of the disease.

Dementia research has undergone dramatic growth driven by current and projected increases in the aging of the population, and thus leading to a larger number of patients with dementia by 2050. Hence, advances in neuroimaging, brain chemistry, and genetics have accelerated our understanding of diseases that lead to cognitive decline.

  • Reviews the clinical aspects and subtypes of dementia
  • Explains molecular pathways involved in brain inflammation
  • Includes the role of CSF and blood in diagnosis
  • Covers established and novel neuroimaging methods
  • Discusses established and developing treatment strategies
  • Identifies future directions, such as machine learning and precision medicine

1. Title of Book - p. i 2. Cover image - p. i 3. Title page - p. ii 4. Table of Contents - p. iii 5. Copyright - p. iv 6. Dedication - p. v 7. Preface - p. xi 8. Acknowledgments - p. xv 9. Chapter 1. Clinical aspects of diagnosis in dementia - p. 1 10. Chapter 2. Neuroimaging methods - p. 27 11. Chapter 3. Biomarkers in cerebrospinal fluid and blood aid diagnosis of dementia - p. 47 12. Chapter 4. Classification of subtypes of vascular dementia - p. 69 13. Chapter 5. Neuroinflammation - p. 87 14. Chapter 6. Animal models for vascular cognitive impairment - p. 107 15. Chapter 7. Molecular pathways - p. 121 16. Chapter 8. Mechanisms of white matter injury - p. 139 17. Chapter 9. Machine learning and precision medicine - p. 157 18. Chapter 10. Future directions - p. 175 19. Index - p. 211

Descripcion
Descripción

Neuroinflammation in Vascular Dementia describes the molecular mechanisms that drive this transition to mixed pathology, along with the newer lifestyle and pharmacological approaches that can reduce the incidence of dementia. The book describes the practical aspects of neuroimaging methods, along with novel neuroimaging methods, using MRI, that are becoming important clinically. The author also discusses how the diagnosis of dementias will be greatly aided by biomarkers from neuroimaging, blood and CSF biochemistry and neuropsychological testing in the future. This information will be used in precision medicine to design treatment strategies based on the most likely causes of the disease.

Dementia research has undergone dramatic growth driven by current and projected increases in the aging of the population, and thus leading to a larger number of patients with dementia by 2050. Hence, advances in neuroimaging, brain chemistry, and genetics have accelerated our understanding of diseases that lead to cognitive decline.

  • Reviews the clinical aspects and subtypes of dementia
  • Explains molecular pathways involved in brain inflammation
  • Includes the role of CSF and blood in diagnosis
  • Covers established and novel neuroimaging methods
  • Discusses established and developing treatment strategies
  • Identifies future directions, such as machine learning and precision medicine

1. Title of Book - p. i 2. Cover image - p. i 3. Title page - p. ii 4. Table of Contents - p. iii 5. Copyright - p. iv 6. Dedication - p. v 7. Preface - p. xi 8. Acknowledgments - p. xv 9. Chapter 1. Clinical aspects of diagnosis in dementia - p. 1 10. Chapter 2. Neuroimaging methods - p. 27 11. Chapter 3. Biomarkers in cerebrospinal fluid and blood aid diagnosis of dementia - p. 47 12. Chapter 4. Classification of subtypes of vascular dementia - p. 69 13. Chapter 5. Neuroinflammation - p. 87 14. Chapter 6. Animal models for vascular cognitive impairment - p. 107 15. Chapter 7. Molecular pathways - p. 121 16. Chapter 8. Mechanisms of white matter injury - p. 139 17. Chapter 9. Machine learning and precision medicine - p. 157 18. Chapter 10. Future directions - p. 175 19. Index - p. 211

Indice
Autores
Muestra
Ficha Técnica