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A Network-Based Perspective in Alzheimer's Disease: Current State and an Integrative Framework
IEEE Journal of Biomedical and Health Informatics
|August 7, 2018
Summary
Early detection of Alzheimer's disease (AD) is crucial for intervention. This review explores network-based biomarkers at molecular and brain connectivity levels for noninvasive early AD diagnosis and monitoring.
Area of Science:
- Neuroscience
- Genetics
- Systems Biology
Background:
- Alzheimer's disease (AD) prevalence and healthcare costs are rising due to increased life expectancy.
- AD pathology begins decades before clinical symptoms, necessitating early detection for intervention.
- Current diagnostic methods lack noninvasive biomarkers for early AD stages.
Purpose of the Study:
- To review state-of-the-art network-based biomarkers for early Alzheimer's disease detection.
- To emphasize the potential of molecular and brain functional connectivity networks as biomarkers.
- To propose a framework for integrating multimodal data for noninvasive AD diagnosis.
Main Methods:
- Review of current literature on network-based biomarkers in AD.
- Focus on molecular and brain functional connectivity network analysis.
- Integration of genotype and brain phenotype data using network medicine principles.
Main Results:
- Network-based biomarkers at molecular and connectivity levels show promise for early AD detection.
- Modular substructures within networks are highlighted for their biomarker potential.
- Integrating genotype and brain phenotype data offers a comprehensive noninvasive approach.
Conclusions:
- Network medicine provides a framework for identifying complex, systems-level disruptions in AD.
- Proposed framework integrates molecular and brain connectivity data for noninvasive diagnosis and therapy monitoring.
- Further research can elucidate deep-level genotype-brain phenotype relations in AD.