Fully automated MRI‐based analysis of the locus coeruleus in aging and Alzheimer's disease dementia using ELSI‐Net

Fully automated MRI‐based analysis of the locus coeruleus in aging and Alzheimer's disease dementia using ELSI‐Net

Abstract INTRODUCTION The locus coeruleus (LC) is linked to the development and pathophysiology of neurodegenerative diseases such as Alzheimer's disease (AD). Magnetic resonance imaging–based LC features have shown potential to assess LC integrity in vivo. METHODS We present a deep learning–ba...

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Main Authors: Max Dünnwald, Friedrich Krohn, Alessandro Sciarra, Mousumi Sarkar, Anja Schneider, Klaus Fliessbach, Okka Kimmich, Frank Jessen, Ayda Rostamzadeh, Wenzel Glanz, Enise I. Incesoy, Stefan Teipel, Ingo Kilimann, Doreen Goerss, Annika Spottke, Johanna Brustkern, Michael T. Heneka, Frederic Brosseron, Falk Lüsebrink, Dorothea Hämmerer, Emrah Düzel, Klaus Tönnies, Steffen Oeltze‐Jafra, Matthew J. Betts
Format: Article
Language:English
Published: Wiley 2025-04-01
Series:Alzheimer’s & Dementia: Diagnosis, Assessment & Disease Monitoring
Subjects:
biomarker
deep learning
locus coeruleus
magnetic resonance imaging
segmentation
Online Access:https://doi.org/10.1002/dad2.70118
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Summary:Abstract INTRODUCTION The locus coeruleus (LC) is linked to the development and pathophysiology of neurodegenerative diseases such as Alzheimer's disease (AD). Magnetic resonance imaging–based LC features have shown potential to assess LC integrity in vivo. METHODS We present a deep learning–based LC segmentation and feature extraction method called Ensemble‐based Locus Coeruleus Segmentation Network (ELSI‐Net) and apply it to healthy aging and AD dementia datasets. Agreement to expert raters and previously published LC atlases were assessed. We aimed to reproduce previously reported differences in LC integrity in aging and AD dementia and correlate extracted features to cerebrospinal fluid (CSF) biomarkers of AD pathology. RESULTS ELSI‐Net demonstrated high agreement to expert raters and published atlases. Previously reported group differences in LC integrity were detected and correlations to CSF biomarkers were found. DISCUSSION Although we found excellent performance, further evaluations on more diverse datasets from clinical cohorts are required for a conclusive assessment of ELSI‐Net's general applicability. Highlights We provide a thorough evaluation of a fully automatic locus coeruleus (LC) segmentation method termed Ensemble‐based Locus Coeruleus Segmentation Network (ELSI‐Net) in aging and Alzheimer's disease (AD) dementia. ELSI‐Net outperforms previous work and shows high agreement with manual ratings and previously published LC atlases. ELSI‐Net replicates previously shown LC group differences in aging and AD. ELSI‐Net's LC mask volume correlates with cerebrospinal fluid biomarkers of AD pathology.
ISSN:2352-8729

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