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Chekanova E.O.

Research Center of Neurology

Nuzhny E.P.

Research Center of Neurology

Zakharova M.N.

Research Center of Neurology

Algorithms for the diagnosis of autoimmune encephalitis

Authors:

Chekanova E.O., Nuzhny E.P., Zakharova M.N.

More about the authors

Journal: S.S. Korsakov Journal of Neurology and Psychiatry. 2025;125(7‑2): 12‑22

DOI: 10.17116/jnevro202512507212

Read: 3415 times

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Table of contents

ALGORITHMS FOR THE DIAGNOSIS OF AUTOIMMUNE ENCEPHALITIS
ALGORITHMS FOR THE DIAGNOSIS OF AUTOIMMUNE ENCEPHALITIS

To cite this article:

Chekanova EO, Nuzhny EP, Zakharova MN. Algorithms for the diagnosis of autoimmune encephalitis. S.S. Korsakov Journal of Neurology and Psychiatry. 2025;125(7‑2):12‑22. (In Russ.)
https://doi.org/10.17116/jnevro202512507212

Подписка 2026 Журнал неврологии и психиатрии им. С.С. Корсакова. Спецвыпуски (S.S. Korsakov Journal of Neurology and Psychiatry (special issues))
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Abstract:

The growing prevalence of autoimmune encephalitis (AE), the predominance of young people of working age among patients, and the potential curability of the disease with early treatment determine the importance of timely diagnosis of this group of disorders. Differential diagnosis of AE is often challenging, primarily due to significant polymorphism, low specificity of clinical manifestations, and a high frequency of seronegative cases. The proposed algorithms for diagnosing AE include a general approach to differential diagnosis and specific approaches based on the clinical and anatomical phenotype and a specific set of symptoms (if any) to simplify and rationalize the diagnostic search. Timely diagnosis of AE is critical for the prognosis of the disease since early and adequate pathogenetic therapy is associated with more favorable outcomes of AE.

Keywords:

autoimmune encephalitis
paraneoplastic neurological syndrome
diagnostic algorithm

Authors:

Chekanova E.O.

Research Center of Neurology

Nuzhny E.P.

Research Center of Neurology

Zakharova M.N.

Research Center of Neurology

Received:

03.06.2025

Accepted:

24.06.2025

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References:

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