# Examining cognition and brain networks using magnetoencephalography in paediatric autoimmune encephalitis and acute disseminated encephalomyelitis: a preliminary study

**Authors:** Charly H A Billaud, Amanda G Wood, Daniel Griffiths-King, Klaus Kessler, Evangeline Wassmer, Elaine Foley, Sukhvir K Wright

PMC · DOI: 10.1093/braincomms/fcae248 · 2024-08-08

## TL;DR

This study uses magnetoencephalography to explore brain network changes in children with autoimmune encephalitis, finding altered connectivity linked to cognitive issues.

## Contribution

The study introduces magnetoencephalography as a novel tool to detect long-term brain network alterations in pediatric autoimmune encephalitis.

## Key findings

- Children with autoimmune encephalitis showed reduced delta local efficiency in brain networks.
- Processing speed was significantly lower in affected children compared to controls.
- Theta modularity correlated with working memory, though not statistically significant after correction.

## Abstract

Paediatric autoimmune encephalitis, including acute disseminated encephalomyelitis, are inflammatory brain diseases presenting with cognitive deficits, psychiatric symptoms, seizures, MRI and EEG abnormalities. Despite improvements in disease recognition and early immunotherapy, long-term outcomes in paediatric autoimmune encephalitis remain poor. Our aim was to understand functional connectivity changes that could be associated with negative developmental outcomes across different types of paediatric autoimmune encephalitis using magnetoencephalography. Participants were children diagnosed with paediatric autoimmune encephalitis at least 18 months before testing and typically developing children. All completed magnetoencephalography recording at rest, T1 MRI scans and neuropsychology testing. Brain connectivity (specifically in delta and theta) was estimated with amplitude envelope correlation, and network efficiency was measured using graph measures (global efficiency, local efficiency and modularity). Twelve children with paediatric autoimmune encephalitis (11.2 ± 3.5 years, interquartile range 9 years; 5M:7F) and 12 typically developing controls (10.6 ± 3.2 years, interquartile range 7 years; 8M:4F) participated. Children with paediatric autoimmune encephalitis did not differ from controls in working memory (t(21) = 1.449; P = 0.162; d = 0.605) but had significantly lower processing speed (t(21) = 2.463; P = 0.023; Cohen’s d = 1.028). Groups did not differ in theta network topology measures. The paediatric autoimmune encephalitis group had a significantly lower delta local efficiency across all thresholds tested (d = −1.60 at network threshold 14%). Theta modularity was associated with lower working memory (β = −0.781; t(8) = −2.588, P = 0.032); this effect did not survive correction for multiple comparisons (P(corr) = 0.224). Magnetoencephalography was able to capture specific network alterations in paediatric autoimmune encephalitis patients. This preliminary study demonstrates that magnetoencephalography is an appropriate tool for assessing children with paediatric autoimmune encephalitis and could be associated with cognitive outcomes.

Paediatric autoimmune encephalitis and acute disseminated encephalomyelitis are neurological disorders that can cause long-term cognitive problems. Billaud et al. used magnetoencephalography to investigate brain network changes and report alterations in affected children present many years following the acute illness, which may be associated with working memory.

Graphical Abstract

## Linked entities

- **Diseases:** acute disseminated encephalomyelitis (MONDO:0019383)

## Full-text entities

- **Diseases:** psychiatric symptoms (MESH:D001523), autoimmune encephalitis (MESH:D020274), seizures (MESH:D012640), cognitive deficits (MESH:D003072), acute disseminated encephalomyelitis (MESH:D004673), inflammatory brain diseases (MESH:D001927)
- **Species:** Homo sapiens (human, species) [taxon 9606]

## Figures

5 figures with captions in the complete paper: https://tomesphere.com/paper/PMC11316206/full.md

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Source: https://tomesphere.com/paper/PMC11316206