# Visualizing trigeminal neuralgia at 7 Tesla: Advancing etiological understanding and improving future clinical imaging protocols

> **NIH NIH R56** · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · 2022 · $532,102

## Abstract

Project Summary
Trigeminal Neuralgia (TN) is one of the most painful disorders ever identified and affects 4.3 out of every
100,000 people in the US. In its most typical form, it causes brief attacks of intense shock-like pain on one side
of the face. Although it is known to be associated with the trigeminal or 5th cranial nerve, its overall etiology
remains poorly understood. A multitude of pharmacological and surgical methods have been used to treat
TN, with varying levels of long-term efficacy, but treatment remains challenging given that TN pain may be
caused by any of a myriad of underlying abnormalities that may not always be identifiable using current
clinical workups. Clinically, magnetic resonance imaging (MRI) is used to detect neurovascular
compression (NVC), conventionally understood to be a main cause of TN, and to rule out other potential
etiologies such as lesions or multiple sclerosis. However, pain eventually recurs in nearly half of patients whose
NVC was treated surgically, and NVC is often identified in people who do not have TN. Although current MRI
protocols are important in the pre-surgical assessment of NVC, they likely lack the resolution, quantitative
accuracy, and scope required to simultaneously interrogate the entire trigeminal sensory pathway, as well as
the brain networks associated with the sensation, evaluation, and modulation of pain that may also contribute to
TN. There remains a critical unmet need to comprehensively study the regions and networks implicated in TN
and reliably and accurately identify the true cause of pain in TN patients. MRI at ultrahigh magnetic fields such
as 7 Tesla (7T) provides increased signal to noise ratio, which yields images with exquisite resolution that can
elucidate subtle anatomical, vascular, microstructural, and functional alterations in unprecedented detail.
Therefore, we will perform a systematic prospective study of TN patients (half with identified NVC and half
idiopathic) and matched healthy controls using a state-of-the-art, TN-specific, multimodal 7T MRI protocol
composed of high-resolution structural, vascular, diffusion, and functional imaging sequences. We propose
three aims directed towards our central hypothesis: 1) To develop new imaging techniques to better visualize
all possible brain regions implicated in TN; 2) To perform qualitative and quantitative analysis of 7T
multimodal images to characterize the structural integrity of the trigeminal sensory pathway along its entire
length from the trigeminal ganglion to the primary somatosensory cortex; 3) To perform whole-brain structural
and functional network analyses to reveal abnormalities in networks associated with pain sensation and
modulation in TN patients; and 4) To evaluate translation of our 7T findings to 3 Tesla clinical scanners.
Successful completion of this study should yield imaging markers that are tightly linked to the pathophysiology
of TN, and could lead to a more complete understanding of TN, ult...

## Key facts

- **NIH application ID:** 10667246
- **Project number:** 1R56DE030680-01A1
- **Recipient organization:** ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI
- **Principal Investigator:** Priti Balchandani
- **Activity code:** R56 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2022
- **Award amount:** $532,102
- **Award type:** 1
- **Project period:** 2022-09-06 → 2025-05-31

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10667246

## Citation

> US National Institutes of Health, RePORTER application 10667246, Visualizing trigeminal neuralgia at 7 Tesla: Advancing etiological understanding and improving future clinical imaging protocols (1R56DE030680-01A1). Retrieved via AI Analytics 2026-05-24 from https://api.ai-analytics.org/grant/nih/10667246. Licensed CC0.

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