Related Experiment Video
Updated: Apr 9, 2026
Imaging CD19+ B Cells in an Experimental Autoimmune Encephalomyelitis Mouse Model using Positron Emission Tomography
Published on: January 20, 2023
The role of brain MRI in autoimmune encephalitis
Tim J Hartung1, Joseph Kuchling1, Carsten Finke1,2
1Charité - Universitätsmedizin Berlin, Department of Neurology and Experimental Neurology.
Purpose Of Review:
Brain MRI is central to the diagnostic work-up of autoimmune encephalitis (AE). This review summarizes established patterns on routine MRI sequences across antibody-defined AE types and highlights emerging quantitative and network-based approaches aimed at improving sensitivity, phenotypic stratification, and prognostication.
Recent Findings:
Conventional MRI reveals syndrome-associated patterns that can support diagnosis in several AE types, including medial temporal involvement in LGI1, CASPR2, and GABA(B) receptor encephalitis; multifocal cortico-subcortical lesions in GABA(A) receptor encephalitis, and radial perivascular enhancement in GFAP astrocytopathy. Longitudinal studies show that regional and global atrophy better reflect cumulative injury and clinical outcome than acute lesions in entities such as NMDA receptor encephalitis or IgLON5 antibody-mediated disease. Basic quantitative measures derived from routine sequences can detect microstructural abnormalities in normal-appearing tissue. Advanced techniques including quantitative MRI, diffusion tensor imaging, and resting-state functional MRI demonstrate widespread structural and functional network disruption beyond visible lesions. Translational animal studies further link imaging changes to antibody-mediated synaptic dysfunction.
Summary:
Conventional MRI remains indispensable for differential diagnosis and pattern recognition in AE. Pragmatic approaches such as volumetry and basic quantitative metrics are closest to clinical implementation, whereas advanced techniques require further standardization and validation. Together, these developments position MRI to evolve from a primarily diagnostic tool toward precision phenotyping, prognosis, and longitudinal monitoring in AE.
Insights
Brain MRI aids in diagnosing autoimmune encephalitis (AE). New quantitative and network MRI methods enhance AE detection, stratification, and prognosis beyond conventional imaging patterns.
Area of Science:
- Neuroimaging
- Neurology
- Immunology
Background:
- Brain MRI is crucial for diagnosing autoimmune encephalitis (AE).
- Established MRI patterns exist for various antibody-defined AE types.
- Emerging quantitative and network-based MRI approaches offer potential improvements.
Purpose of the Study:
- Summarize established MRI patterns in antibody-defined AE.
- Highlight advanced quantitative and network-based MRI techniques for AE.
- Discuss MRI's evolving role in AE diagnosis, phenotyping, and prognosis.
Main Methods:
- Review of established MRI patterns in routine sequences for AE.
- Summary of emerging quantitative MRI techniques (volumetry, diffusion tensor imaging, resting-state fMRI).
- Inclusion of findings from longitudinal studies and translational animal research.
Main Results:
- Conventional MRI shows syndrome-associated patterns (e.g., medial temporal, cortico-subcortical lesions, perivascular enhancement).
- Atrophy on longitudinal studies correlates better with outcomes than acute lesions in certain AE types.
- Quantitative MRI and advanced techniques reveal microstructural and network disruptions beyond visible lesions.
Conclusions:
- Conventional MRI remains essential for AE differential diagnosis and pattern recognition.
- Quantitative MRI metrics are nearing clinical implementation for AE.
- Advanced MRI techniques promise to enhance AE precision phenotyping, prognosis, and monitoring.
More Related Videos
08:47Induction of Experimental Autoimmune Encephalomyelitis in Mice and Evaluation of the Disease-dependent Distribution of Immune Cells in Various Tissues
Published on: May 8, 2016
26:48Induction and Clinical Scoring of Chronic-Relapsing Experimental Autoimmune Encephalomyelitis
Published on: July 4, 2007
