Nearly 44 million people have Alzheimer’s or related dementia worldwide, according to the Alzheimer’s Disease International organization. That number is expected to double every 20 years. Unlike other books on the market, Alzheimer's Disease: Understanding Biomarkers, Big Data, and Therapy covers recent advancements in cognitive, clinical, neural, and therapeutic aspects of Alzheimer’s and other forms of dementia.
First, readers are introduced to cognitive and clinical studies, focusing on the different types of memory impairment, past and future thinking. This includes the prevalence of depression, its relationship to other symptoms, and the quality of life for those with Alzheimer’s disease. In addition, the book discusses recent studies on memory dysfunction in advanced-stage Alzheimer’s disease, in comparison to early-stage, including a chapter on the underlying factors in the transition from mild cognitive impairment to Alzheimer’s diagnosis. Following this section, the book presents recent studies on the role of different cortical and subcortical structures in the development of various symptoms in Alzheimer’s disease, as well as different neural biomarkers underlying the development and treatment of the disease. In the last section of the book, therapeutic aspects of Alzheimer’s disease, focusing on behavioral and pharmacological treatments of sleep disorders, memory problems, and depression, are reviewed. The book aids readers in understanding the advances in research and care, making it a prime tool for all clinicians, psychologists, researchers, neurologists, and caregivers of dementia patients.
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. List of contributors - p. xiii 8. Acknowledgments - p. xv 9. Part I: Mental health in dementia - p. xvi 10. Chapter 1. Measures of depression in Alzheimer’s disease - p. 3 11. Chapter 2. The nature of depression in dementia: a narrative review - p. 35 12. Chapter 3. Stress and anxiety in dementia - p. 55 13. Part II: Advanced topics in dementia research - p. 67 14. Chapter 4. Alzheimer’s disease in the pupil: pupillometry as a biomarker of cognitive processing in Alzheimer’s disease - p. 77 15. Chapter 5. Cognitive and neural correlates of vitamin D deficiency: focus on healthy aging and Alzheimer’s disease - p. 87 16. Chapter 6. The effect of Alzheimer’s disease on the thalamus - p. 107 17. Chapter 7. Using big data methods to understand Alzheimer’s disease - p. 125 18. Chapter 8. Operational aspects of deep learning solutions for Alzheimer’s disease - p. 151 19. Part III: Treatment of dementia - p. 168 20. Chapter 9. Treatment of depression in Alzheimer’s disease - p. 177 21. Chapter 10. Developing a Vulnerability to Negative Affect in Dementia Scale (VNADS) for music interventions - p. 191 22. Chapter 11. Using music to improve mental health in people with dementia - p. 205 23. Chapter 12. The efficacy of donepezil for the treatment of Alzheimer’s disease - p. 217 24. Index - p. 233
Nearly 44 million people have Alzheimer’s or related dementia worldwide, according to the Alzheimer’s Disease International organization. That number is expected to double every 20 years. Unlike other books on the market, Alzheimer's Disease: Understanding Biomarkers, Big Data, and Therapy covers recent advancements in cognitive, clinical, neural, and therapeutic aspects of Alzheimer’s and other forms of dementia.
First, readers are introduced to cognitive and clinical studies, focusing on the different types of memory impairment, past and future thinking. This includes the prevalence of depression, its relationship to other symptoms, and the quality of life for those with Alzheimer’s disease. In addition, the book discusses recent studies on memory dysfunction in advanced-stage Alzheimer’s disease, in comparison to early-stage, including a chapter on the underlying factors in the transition from mild cognitive impairment to Alzheimer’s diagnosis. Following this section, the book presents recent studies on the role of different cortical and subcortical structures in the development of various symptoms in Alzheimer’s disease, as well as different neural biomarkers underlying the development and treatment of the disease. In the last section of the book, therapeutic aspects of Alzheimer’s disease, focusing on behavioral and pharmacological treatments of sleep disorders, memory problems, and depression, are reviewed. The book aids readers in understanding the advances in research and care, making it a prime tool for all clinicians, psychologists, researchers, neurologists, and caregivers of dementia patients.
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. List of contributors - p. xiii 8. Acknowledgments - p. xv 9. Part I: Mental health in dementia - p. xvi 10. Chapter 1. Measures of depression in Alzheimer’s disease - p. 3 11. Chapter 2. The nature of depression in dementia: a narrative review - p. 35 12. Chapter 3. Stress and anxiety in dementia - p. 55 13. Part II: Advanced topics in dementia research - p. 67 14. Chapter 4. Alzheimer’s disease in the pupil: pupillometry as a biomarker of cognitive processing in Alzheimer’s disease - p. 77 15. Chapter 5. Cognitive and neural correlates of vitamin D deficiency: focus on healthy aging and Alzheimer’s disease - p. 87 16. Chapter 6. The effect of Alzheimer’s disease on the thalamus - p. 107 17. Chapter 7. Using big data methods to understand Alzheimer’s disease - p. 125 18. Chapter 8. Operational aspects of deep learning solutions for Alzheimer’s disease - p. 151 19. Part III: Treatment of dementia - p. 168 20. Chapter 9. Treatment of depression in Alzheimer’s disease - p. 177 21. Chapter 10. Developing a Vulnerability to Negative Affect in Dementia Scale (VNADS) for music interventions - p. 191 22. Chapter 11. Using music to improve mental health in people with dementia - p. 205 23. Chapter 12. The efficacy of donepezil for the treatment of Alzheimer’s disease - p. 217 24. Index - p. 233
