Graph signal processing to identify biomarkers in brain networks in dementia

A. Tahmassebi; K. Mueller; U. Meyer-Baese; J. Munilla; A. Ortiz; A. Meyer-Baese

doi:10.1117/12.2613255

4 April 2022 Graph signal processing to identify biomarkers in brain networks in dementia

A. Tahmassebi, K. Mueller, U. Meyer-Baese, J. Munilla, A. Ortiz, A. Meyer-Baese

Proceedings Volume 12036, Medical Imaging 2022: Biomedical Applications in Molecular, Structural, and Functional Imaging; 1203615 (2022) https://doi.org/10.1117/12.2613255
Event: SPIE Medical Imaging, 2022, San Diego, California, United States

Abstract

Normal and aberrant cognitive functions are the result of the dynamic interplay between large-scale neural circuits. Describing the nature of these interactions has been a challenging task yet important for neurodegenerative disease evolution. Graph theory has been the standard tool to provide biomarkers in imaging connectomics showing the Alzheimer’s disease (AD). We propose a novel concept - graph signal processing - to analyze the evolution of disease graphs leading from mild cognitive impairment (MCI) to AD and derive frequency-based biomarkers representative for this disease. We show that high oscillations derived from the graph Fourier decomposition can provide important discriminatory information. To quantify the qualitative intuition of high oscillations, we use two concepts from signal theory: (1) zero crossings and (2) total variations. We apply these concepts on functional and structural brain connectivity networks for control (CN), mild cognitive impairment (MCI) and Alzheimer’s disease (AD) subjects. Our results applied to functional brain networks suggest that graph signal processing can accurately describe the frequencies of brain networks, and explain how AD is associated with low frequency and localized averaging confirmed by clinical results.

Conference Presentation

Citation Download Citation

A. Tahmassebi, K. Mueller, U. Meyer-Baese, J. Munilla, A. Ortiz, and A. Meyer-Baese "Graph signal processing to identify biomarkers in brain networks in dementia", Proc. SPIE 12036, Medical Imaging 2022: Biomedical Applications in Molecular, Structural, and Functional Imaging, 1203615 (4 April 2022); https://doi.org/10.1117/12.2613255

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available