The Vibrational Signature of Alzheimer's Disease: A Computational Approach Based on Sonification, Laser Projection,...

Area of Science:

• Neuroscience
• Biomimetic Engineering
• Signal Processing

Background:

• Alzheimer's disease (AD) is the leading cause of dementia, with limited accessible biomarkers for early detection.
• Current diagnostic methods for AD can be invasive or lack sensitivity for early-stage identification.
• There is a critical need for novel, non-invasive biomarkers for early Alzheimer's disease detection.

Purpose of the Study:

• To introduce a biomimetic approach transforming brain electrical activity (EEG) into sound and vibration for Alzheimer's disease detection.
• To develop a novel, non-invasive method for identifying group-specific differences in neural dynamics between AD patients and healthy controls.
• To explore the potential of EEG sonification and vibrational projection as a new class of biomarkers for Alzheimer's disease.

Main Methods:

• Resting-state EEG recordings were obtained from 36 AD patients and 29 healthy controls.
• EEG data were sonified and used to drive a membrane-laser system, creating dynamic vibrational patterns.
• Quantitative descriptors were extracted from vibrational patterns and used to train a Random Forest classifier.

Main Results:

• Distinct group-specific differences in quantitative descriptors of vibrational patterns were observed between AD patients and controls.
• A Random Forest classifier achieved 0.85 accuracy and 0.93 AUC in distinguishing AD from controls using extracted features.
• The biomimetic transformation successfully bridged neural dynamics and physical patterns, revealing differences related to Alzheimer's disease.

Conclusions:

• EEG sonification coupled with vibrational projection offers a promising non-invasive biomarker candidate for early Alzheimer's disease detection.
• This biomimetic framework, inspired by natural sensory encoding, provides a novel method for analyzing neural signals.
• The study highlights the potential of translating complex brain activity into physical patterns for diagnostic purposes.