Frontiers in Aging Neuroscience
Scope & Guideline
Bridging Science and Aging for Cognitive Excellence.
Introduction
Aims and Scopes
- Cognitive Aging and Neurodegeneration:
Research exploring the mechanisms behind cognitive aging, Alzheimer's disease, Parkinson's disease, and other neurodegenerative disorders, aiming to identify biomarkers and therapeutic targets. - Neuroinflammation and Immunity:
Studies investigating the role of neuroinflammation, immune responses, and their implications in aging and neurodegenerative diseases. - Translational and Clinical Research:
Focus on translating basic research findings into clinical applications, including novel therapeutic strategies, clinical trials, and population-based studies. - Biomarkers and Diagnostics:
Identification and validation of biomarkers for early diagnosis and monitoring of neurodegenerative diseases, utilizing advanced neuroimaging and biofluid analyses. - Lifestyle and Behavioral Interventions:
Examining the effects of physical activity, diet, and non-pharmacological interventions on cognitive function, brain health, and quality of life in older adults. - Technological Innovations:
Application of machine learning, artificial intelligence, and digital health technologies in the assessment, diagnosis, and treatment of cognitive impairments.
Trending and Emerging
- Gut-Brain Axis Research:
An increasing number of studies are focusing on the interactions between gut microbiota and brain health, emphasizing the impact of diet and gut health on neurodegenerative diseases. - Neuroimaging Techniques:
There is a growing trend in utilizing advanced neuroimaging techniques, such as functional MRI and PET scans, to study brain connectivity, structure, and function in aging populations. - Digital Health and Telemedicine:
Emerging research is exploring the use of digital health technologies, telemedicine, and remote monitoring to assess cognitive function and deliver interventions for older adults. - Machine Learning and AI Applications:
The application of machine learning and artificial intelligence in predicting cognitive decline, classifying neurodegenerative diseases, and analyzing complex datasets is rapidly increasing. - Interdisciplinary Approaches:
There is a marked trend towards interdisciplinary research that integrates insights from neuroscience, psychology, gerontology, and public health to address the complexities of aging. - Resilience and Protective Factors:
Research is increasingly focusing on identifying resilience factors and protective behaviors that may mitigate cognitive decline and promote healthy aging.
Declining or Waning
- Traditional Pharmacological Approaches:
There is a noticeable decrease in studies focused solely on traditional pharmacological treatments for neurodegenerative diseases, possibly due to a shift towards exploring combination therapies and lifestyle interventions. - Single Modality Studies:
Research that exclusively utilizes a single modality (e.g., only MRI or only blood biomarkers) has seen a decline, suggesting a move towards integrative and multimodal approaches that combine various types of data. - Basic Mechanistic Studies Without Clinical Relevance:
Basic research that does not connect findings to clinical applications or implications is becoming less prevalent, as researchers increasingly aim to bridge the gap between laboratory studies and real-world applications. - Animal Models Lacking Human Relevance:
The prevalence of animal studies that do not adequately model human conditions or translate findings into human applications is waning, as emphasis shifts towards more clinically relevant models.
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