Dataset Information

Metabolic phenotyping of pilomotor seizures in autoimmune encephalitis.

ABSTRACT:

Objectives

Ictal piloerection (IP) is an uncommon symptom in focal epilepsy and is associated with autoimmune encephalitis (AE). However, the networks involved in AE-associated IP are still unclear. To have a better understanding of IP underlying mechanisms, the current study investigated whole-brain metabolic networks for the analysis of AE-associated IP.

Methods

Patients with AE and IP diagnosed at our Institute between 2018 and 2022 were selected. We then investigated the brain regions associated with AE-associated IP using positron emission tomography (PET). Anatomometabolic changes (interictal ¹⁸ F fluorodeoxyglucose PET) in AE patients with IP were compared with those of AE patients of similar age without IP (p-voxel <0.001, uncorrected).

Results

Sixteen patients showed significant IP. The overall IP prevalence was 4.09% of patients with AE and 12.9% of patients with limbic encephalitis. The most common autoantibodies were against LGI1 (68.8%) followed by GAD65 (6.3%), NMDA (6.3%), GABAb (6.3%), CASPR2 (6.3%), and antibodies recognizing both GAD65 and mGLUR5 (6.3%). Most patients responded well to immunotherapy. Analysis of the imaging results at the voxel level showed that patients with IP had hypermetabolic changes in the right inferior temporal gyrus, suggesting involvement of this brain region in IP.

Conclusions

Our findings indicate that IP as an uncommon AE-associated manifestations should be recognized. We observed that the metabolic pattern of IP was conspicuous in the right inferior temporal gyrus.

SUBMITTER: Sun Y

PROVIDER: S-EPMC10401145 | biostudies-literature | 2023 Sep

REPOSITORIES: biostudies-literature

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Publications

Metabolic phenotyping of pilomotor seizures in autoimmune encephalitis.

Sun Yueqian Y Zhao Xiaobin X Ai Lin L Wang Qun Q

CNS neuroscience & therapeutics 20230327 9

<h4>Objectives</h4>Ictal piloerection (IP) is an uncommon symptom in focal epilepsy and is associated with autoimmune encephalitis (AE). However, the networks involved in AE-associated IP are still unclear. To have a better understanding of IP underlying mechanisms, the current study investigated whole-brain metabolic networks for the analysis of AE-associated IP.<h4>Methods</h4>Patients with AE and IP diagnosed at our Institute between 2018 and 2022 were selected. We then investigated the brain ...[more]

PMID: 36971194

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Dataset Information

Metabolic phenotyping of pilomotor seizures in autoimmune encephalitis.

Objectives

Methods

Results

Conclusions

Publications

Metabolic phenotyping of pilomotor seizures in autoimmune encephalitis.

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