# Individualized rs-fMRI reveals brain-circuit heterogeneity and predicts early recurrence in trigeminal neuralgia

## TL;DR

This study uses brain scans to identify abnormal brain regions in trigeminal neuralgia patients and finds specific areas that predict early recurrence after treatment.

## Contribution

The study introduces an individualized rs-fMRI approach to identify high-risk brain regions for early recurrence after radiofrequency ablation in trigeminal neuralgia.

## Key findings

- Four new abnormal brain regions were identified in trigeminal neuralgia patients.
- Six brain regions were found to be high-risk for early recurrence after treatment.
- Abnormalities in these regions were reduced or eliminated after surgery.

## Abstract

To identify abnormal brain regions in patients with trigeminal neuralgia (TN) and screen for specific regions that can predict short-term recurrence after percutaneous radiofrequency ablation (RFT).

Resting-state functional magnetic resonance imaging (rs-fMRI) was used to identify differential brain regions in TN patients. An individualized rs-fMRI approach was applied to screen for recurrence-related brain regions in patients undergoing RFT. Among these, regions with a 100% recurrence rate were classified as high-risk recurrence regions. Treatment outcomes and changes in these differential brain regions were observed postoperatively.

Thirty TN patients exhibited 19 differential brain regions. Four of these—Rolandic_Oper_L, Cerebellum_9_L, Lingual_R, and Calcarine_L—were newly identified as abnormal regions in TN. Among the 15 patients who underwent RFT, 15 potential recurrence-related regions were found. Six of these—contralateral Insula_L, Fusiform_L, Vermis_3, and Temporal_Sup_L; ipsilateral Cerebellum_3_R; and ipsilateral Fusiform_R (when involving V1 division pain)—were identified as high-risk recurrence regions. Follow-up scans confirmed that these recurrence-related differential brain regions were either eliminated or attenuated after surgery.

Patients with trigeminal neuralgia exhibit abnormalities in multiple brain regions. These findings demonstrate that individualized functional imaging biomarkers provide an effective framework for stratifying the risk of early postoperative recurrence. Specifically, abnormalities in the Insula_L, Fusiform_L, Cerebellum_3_R, Temporal_Sup_L, Vermis_3, and Fusiform_R can be defined as high-risk brain regions for predicting short-term recurrence after radiofrequency ablation.