AI-driven MRI analysis reveals brain atrophy patterns in benign relapsing-remitting multiple sclerosis Article Swipe
Marja Niiranen
,
Peter Bendel
,
Juha Koikkalainen
,
Jyrki Lötjönen
,
Tuomas Selander
,
Eino Solje
,
Päivi Hartikainen
,
Sakari Simula
,
Ritva Vanninen
,
Anne M. Portaankorva
·
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.3389/fneur.2025.1570566
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.3389/fneur.2025.1570566
Background The existence and definition of benign multiple sclerosis (MS) remain controversial, particularly given the discrepancy between clinical presentation and underlying imaging changes. In this study, we aimed to investigate the brain atrophy patterns related to benign relapsing-remitting MS (BRRMS), particularly regarding location and extent. Methods We analyzed global and regional gray matter (GM) and white matter (WM) volumes, WM lesion load, corpus callosum index (CCI) and corpus callosum area (CCA) in well-defined benign relapsing-remitting MS patients (BRRMS, n = 35) compared to healthy controls (HC, n = 35). Imaging data were analyzed using an AI-based volumetric analysis MRI (cNeuro ® ) and confirmed visually by an experienced neuroradiologist, ensuring robust validation. Results Total brain tissue volume was significantly smaller in patients with BRRMS compared to HC ( p < 0.001), but the cortical ( p = 0.011) and cerebral ( p = 0.002) GM volumes, as well as cingulate gyrus (p=0.032) and entorhinal area volumes ( p < 0.001), were larger in BRRMS. GM volumes in the postcentral gyrus ( p = 0.001), precentral gyrus ( p < 0.001), the medial segment of the precentral gyrus ( p < 0.001), supplementary motor cortex ( p < 0.001) and thalamus ( p < 0.001) were reduced in BRRMS compared to HC. Furthermore, both CCI and CCA were significantly smaller in BRRMS ( p < 0.001 and p = 0.001, respectively). Conclusions Despite the overall reduced brain volume compared to HC, distinct cortical regions, especially within the limbic system (i.e., cingulate gyrus and entorhinal area) GM may be relatively well preserved, indicating a possible compensatory volume increase. Based on this study, the corpus callosum is a crucial structure in monitoring disease progression in BRRMS.
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- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.3389/fneur.2025.1570566
- https://www.frontiersin.org/journals/neurology/articles/10.3389/fneur.2025.1570566/pdf
- OA Status
- gold
- References
- 60
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4410245537
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4410245537Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.3389/fneur.2025.1570566Digital Object Identifier
- Title
-
AI-driven MRI analysis reveals brain atrophy patterns in benign relapsing-remitting multiple sclerosisWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2025Year of publication
- Publication date
-
2025-05-09Full publication date if available
- Authors
-
Marja Niiranen, Peter Bendel, Juha Koikkalainen, Jyrki Lötjönen, Tuomas Selander, Eino Solje, Päivi Hartikainen, Sakari Simula, Ritva Vanninen, Anne M. PortaankorvaList of authors in order
- Landing page
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https://doi.org/10.3389/fneur.2025.1570566Publisher landing page
- PDF URL
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https://www.frontiersin.org/journals/neurology/articles/10.3389/fneur.2025.1570566/pdfDirect link to full text PDF
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YesWhether a free full text is available
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goldOpen access status per OpenAlex
- OA URL
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https://www.frontiersin.org/journals/neurology/articles/10.3389/fneur.2025.1570566/pdfDirect OA link when available
- Concepts
-
Corpus callosum, Atrophy, Medicine, Multiple sclerosis, Precentral gyrus, White matter, Entorhinal cortex, Magnetic resonance imaging, Postcentral gyrus, Nuclear medicine, Pathology, Internal medicine, Cardiology, Hippocampus, Radiology, PsychiatryTop concepts (fields/topics) attached by OpenAlex
- Cited by
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0Total citation count in OpenAlex
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60Number of works referenced by this work
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10Other works algorithmically related by OpenAlex
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