Elsevier,
Alzheimer’s Disease: Understanding Biomarkers, Big Data, and Therapy, Volume , 1 January 2021
This book chapter advances SDG #3 and #10 by presenting that (1) some of these depression scales do not correlate, suggesting that they assess different aspects of depression; (2) reports of depression in dementia vary based on depression in dementia scale used; and (3) severe memory impairment may impact the ability to assess depression in the patients using self-reports.
This book chapter advances SDG #3 and #10 by reviewing the observed epidemiological links between normal and abnormal diurnal and seasonal rhythmicity, cognitive impairment, and ADRD. Then reviewing normal diurnal and seasonal rhythms of brain epigenetic modification and gene expression in model organisms. Finally, reviewing evidence for diurnal and seasonal rhythms of epigenetic modification and gene expression the human brain in aging, Alzheimer's disease, and other brain disorders.
This book chapter advances SDG #3 and #10 by reviewing the extant literature on autophagy in AD and covers recent progress on the molecular mechanisms of NAD+-dependent mitophagy/autophagy regulation and mechanisms underlying the anti-AD potential of NAD+. Further studies to define the NAD+-mitophagy/autophagy axis may shed light on novel therapeutics to treat AD and potentially provide insights into other neurodegenerative diseases.
Elsevier,
Assessments, Treatments and Modeling in Aging and Neurological Disease: The Neuroscience of Aging, Volume , 1 January 2021
This book chapter advances SDG #3 and #10 by reviewing the use of nonhuman primates as a viable model of aging and neurodegeneration research.
This book chapter advances SDG #3 and #10 by reviewing deep brain stimulation as a treatment for AD patients, reviewing the recent studies and issues associated with the treatment.
This book chapter advances SDG #3 and #10 by providing therapeutic strategies that can be employed in clinical trials for AD in DS will be discussed as well as their underlying scientific rationale.
Elsevier, Alzheimer’s Disease: Understanding Biomarkers, Big Data, and Therapy, Volume , 1 January 2021
In the next 30 years, Alzheimer’s disease cases are predicted to drastically increase. Consequently, there is a critical need for research that can counteract the increasing number of Alzheimer’s disease patients. However, current methods of Alzheimer’s disease research have significant limitations. For example, Alzheimer’s disease research is often restricted by resource, temporal, and recruitment barriers (e.g., participant dropout). Unlike standard research, big data analysis is excellent at investigating complex long-term phenomena such as Alzheimer’s disease.
Genetics, Neurology, Behavior, and Diet in Dementia, The Neuroscience of Dementia, Volume 2, 2020, Pages 833-847
This book chapter advances SDG #3 and #10 by focusing on mouse models of Alzheimer’s disease (AD), especially the 5xFAD line.
This book chapter advances SDG 3 and 10 by reviewing the literature on culture and family-based psychological interventions for schizophrenia, bipolar, and related (SBR) psychotic spectrum disorder.
This book chapter advances SDG 3 and 10 by introducing the concept of cultural psychiatry and it's focus on cultural competence training, to address mental health disparities and related injustices, providing the tools professionals need in the field.
