Texture features of T2w magnetic resonance imaging mirror tissue changes in Parkinson’s disease models

After successful applications in the oncology field to provide new in vivo diagnosis and prognosis imaging features, texture analysis and more generally radiomics were also reported as having the potential to provide markers of different neurodegenerative processes. Indeed, in neurodegenerative diseases such as Parkinson's disease (PD), there is a need for neuroprotective therapies, the development of which will be fundamentally aided by imaging biomarkers capable of inferring tissue changes such as loss of neurons in the nigro-striatal pathway or alpha synuclein aggregates that characterize PD. In this study, we therefore sought to decipher the relationship between signal changes measured using brain MRI texture features and histological changes in preclinical models of this disease. Three rodent models were used: two toxin-based models, one involving 6-hydroxydopamine injection and the other using methyl-phenyl-tetrahydropyridine, and a third model based on alpha-synuclein overexpression. Animals had MR imaging with a T2w sequence evaluation and were sacrificed for histological analyses of the brains. Texture features were measured in different brain structures. The association analyses revealed significant correlations between the imaging features measured in the substantia nigra and the striatum with dopaminergic degeneration, as well as significant correlations between texture features in key structures (substantia nigra, striatum, thalamus, hippocampus and associative and cingulate cortices), and alpha-synuclein quantified in these regions. These preliminary results suggest that MR signal changes captured using texture features reflect the underlying tissue changes occurring in the brain such as neuronal death and proteins accumulation.

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Publication Details

Journal
Brain Research
Published
2025-05-19
DOI
https://doi.org/10.1016/j.brainres.2025.149717
Citations
1
Primary Topic
Advanced MRI Techniques and Applications
Type
article
Field-Weighted Citation Impact
1.36

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article

Texture features of T2w magnetic resonance imaging mirror tissue changes in Parkinson’s disease models

Charlotte Laloux, Nathalie Dutheil, David Devos, Kelly Timmerman et al.
1 citations
Brain Research
Advanced MRI Techniques and Applications
1.36
article

Texture features of T2w magnetic resonance imaging mirror tissue changes in Parkinson’s disease models

Charlotte Laloux, Nathalie Dutheil, David Devos, Kelly Timmerman, Nicolas Durieux, Nacim Betrouni, Erwan Bezard, Chirine Katrib, Camille Naïdji
article en
1 citations

Abstract

After successful applications in the oncology field to provide new in vivo diagnosis and prognosis imaging features, texture analysis and more generally radiomics were also reported as having the potential to provide markers of different neurodegenerative processes. Indeed, in neurodegenerative diseases such as Parkinson's disease (PD), there is a need for neuroprotective therapies, the development of which will be fundamentally aided by imaging biomarkers capable of inferring tissue changes such as loss of neurons in the nigro-striatal pathway or alpha synuclein aggregates that characterize PD. In this study, we therefore sought to decipher the relationship between signal changes measured using brain MRI texture features and histological changes in preclinical models of this disease. Three rodent models were used: two toxin-based models, one involving 6-hydroxydopamine injection and the other using methyl-phenyl-tetrahydropyridine, and a third model based on alpha-synuclein overexpression. Animals had MR imaging with a T2w sequence evaluation and were sacrificed for histological analyses of the brains. Texture features were measured in different brain structures. The association analyses revealed significant correlations between the imaging features measured in the substantia nigra and the striatum with dopaminergic degeneration, as well as significant correlations between texture features in key structures (substantia nigra, striatum, thalamus, hippocampus and associative and cingulate cortices), and alpha-synuclein quantified in these regions. These preliminary results suggest that MR signal changes captured using texture features reflect the underlying tissue changes occurring in the brain such as neuronal death and proteins accumulation.

Brain ResearchVol. 1862
Centre National de la Recherche Scientifique (FR), Université de Bordeaux (FR), Inserm (FR), Université de Lille (FR), Institut Pasteur de Lille (FR), Centre Hospitalier Universitaire de Lille (FR), Institut des Maladies Neurodégénératives (FR)
Association France Parkinson
Openalex Percentile: Top 20%
Advanced MRI Techniques and Applications
1.36
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