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Research Advances in Diagnostic Methods for Prevalent Neurological Diseases
Mengli Lv1,2, Xiaojie Sun1,2, Xinpeng Wang1,2,3
1School of Pharmacy, Qingdao University, Qingdao 266071, China.
Biosensors
|July 27, 2026
Summary
Early detection of neurological diseases is vital due to population aging. This review compares precision biosensing technologies, including liquid, exosomal, imaging, and digital biomarkers, for improved diagnosis and treatment.
Area of Science:
- Neurology
- Biomedical Engineering
- Biomarker Detection
Background:
- Global population aging is increasing the burden of neurological diseases.
- Current diagnostic methods for neurological diseases suffer from significant delays, hindering effective treatment.
- There is a critical need for precise, early-stage detection technologies to improve patient outcomes.
Purpose of the Study:
- To review and compare precision detection strategies for neurological diseases.
- To analyze mainstream biosensing platforms based on detection substrates and signal transduction.
- To provide insights for clinical translation of sensing technologies and integrated diagnostic strategies.
Main Methods:
- Classification of biosensing platforms into four branches: liquid, exosomal, imaging, and digital biomarker detection.
- Analysis of detection substrates and signal transduction mechanisms.
- Review of representative studies showcasing sensitivity, specificity, and accuracy of various methods.
Main Results:
- Biosensing technologies achieve femtomolar detection limits and >90% clinical diagnostic sensitivity.
- Detection accuracies are comparable to or surpass conventional imaging modalities.
- Each biosensing technology presents unique advantages and limitations that are discussed.
Conclusions:
- Future research trends towards multimodal integration of biosensing technologies for enhanced early warning and prognostic systems.
- Development of advanced sensing technologies is crucial for early intervention and rehabilitation in neurological diseases.
- This review offers theoretical insights to facilitate clinical translation and improve management of neurological disorders.
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