fMRI-study in Patients With Small Fiber Neuropathy

Central Pain Location in SCN9A-associated SFN, an fMRI Pilot Study.

Small fiber neuropathy (SFN) is a form of peripheral neuropathy, which is characterized by neuropathic pain and autonomic dysfunction. Mutations in SCN9A, the gene encoding for the voltage-gated sodium channel NaV1.7, are associated with SFN. SCN9A-associated SFN often results in chronic neuropathic pain, which is difficult to treat. Chronic neuropathic pain may cause structural and functional changes in the brain. Until now, only one small study examined the structural and functional changes of the brain in SFN patients. No studies have been performed in strictly defined SFN patients.

Therefore, it would be interesting to explore whether in SFN patients with an SCN9A mutation, the genotype will lead to a distinct brain activation pattern on functional MRI (fMRI) and if the integrity or structural connectivity of the brain is altered using diffusion tensor imaging (DTI). This may provide a better understanding of the pathophysiological pathways for chronic pain and might serve as a biomarker for evaluating therapy.

The objective of this study is to explore whether there is an indication whether patients with SCN9A-associated SFN have an abnormal brain activation pattern on resting state fMRI and during advanced thermal stimulation and altered structural connectivity on DTI versus SFN patients without a mutation and versus age- and gender-matched healthy controls. With this knowledge, objective pain measurement for patients with SFN may serve as a biomarker in evaluating efficacy of targeted therapy.

Study Overview

• Status: Recruiting
• Conditions: Small Fiber Neuropathy
• Intervention / Treatment: Diagnostic test: functional MRI

Detailed Description

Small fiber neuropathy (SFN) is a form of peripheral neuropathy, which is characterized by neuropathic pain and autonomic dysfunction. It is caused by dysfunction of the Aδ-fibers and C-fibers. SFN is diagnosed if typical SFN symptoms are present, in combination with an additional abnormal skin biopsy and/or abnormal quantitative sensory testing. The minimal prevalence of SFN is estimated to be 53/100.000. SFN has a comprehensive list of causes. The etiology encompasses metabolic, toxic, auto immune, infectious, and hereditable causes. Mutations in SCN9A, the gene encoding for the voltage-gated sodium channel NaV1.7, are associated with SFN, and can be found in 10-15% of SFN patients. The symptomatic treatment of SFN is generally disappointing. Until now, antidepressants and anticonvulsants are mostly recommended for SFN with limited pain reduction, often leading to chronic daily pain experience. Understanding the pathophysiology of pain and identifying plausible specific pain genotype-phenotype relations, might lead to improved treatment strategies. Therefore, the focus should extend beyond the scope of peripheral mechanisms of the nervous system and should include searching for pain complex central, thus brain based, mechanisms and patterns (a pain network of somatosensory, limbic and associate structures).

The International Association for the Study of Pain defined pain as 'an unpleasant sensory and emotional experience associated with actual or potential tissue damage, or described in terms of such damage'. A painful stimulus activates the peripheral nociceptors and is transmitted through the small fibers, via the dorsal horn in the spinal cord, to the brain. Pain stimuli are processed in the cortex, subcortical structures, and the midbrain. In the cortical area the somatosensory, anterior cingulate, prefrontal, and insular cortex are the most important structures, whereas important subcortical areas encompass the hippocampus, basal ganglia, amygdala, and thalamus. Furthermore, the cerebellum is suggested as an important area contributing to pain sensation.

Chronic pain may lead to structural changes in the brain, and imaging revealed morphological alterations in gray matter (both an increase and a decrease). The pattern of alterations may differ among different pain syndromes and may be reversible.

Functional imaging studies have displayed specific brain activity patterns in patients with different types of pain syndromes. Recently, also in a small SFN patients study functional connectivity changes using a 3.0 Tesla scanner were shown. However, whether a specific activation pattern can be seen depends on many factors, such as type of brain imaging modality.7 It is conceivable that a particular type of pain (stimulus) may enhance a specific pain brain pattern, but also specific person factors (for example gender and genetic factors) may influence the pain activation network. Psychological modulation as well as chronicity of pain may influence the activation network, and should therefore be taken into account. Furthermore the specific location of pain can display different kinds of patterns because of partially somatotopic organization, such as described in the S1 cortex. To date, in human no functional imaging studies using a 7.0 Tesla fMRI-scan have been performed.

Until now, an objective tool to measure pain is lacking. Most studies in pain syndromes including patients with SFN have been using a great variety of surrogate pain scales, such as the Visual Analogue Pain Scale (VAS), the Pain Intensity Numerical Rating Scale, the Brief Pain Inventory and the Neuropathic pain scale (NPS). Therefore, an objective measure for pain would be a great advantage.

In this study, patients with a SCN9A-associated SFN will be analyzed to determine possible central nervous system pain network patterns. The voltage-gated sodium channel NaV1.7 plays a central role in pain processing. Research in rats revealed areas of the brain that express Nav1.7 channels. These channels were restricted to the hypothalamic/preoptic area, brain stem, and the subfornical organ. Our goal is to examine whether gain-of-function mutations in NaV1.7 may lead to a specific pain pattern in the human brain by scanning with a 3.0 Tesla fMRI-scan. Some patients will be included to undergo an extra fMRI-brain scan (Tesla 7.0). Due to the high field strength, new opportunities have arisen for brain imaging. The newly acquired ultra high resolution facilitates the possibility of more detailed anatomical imaging. When the 7.0 Tesla fMRI-scan appears to yield more useful information than the 3.0 Tesla fMRI-scan, the first-mentioned will be used for follow-up studies.

The aim of this study is to determine the resting state and the effect on heat stimuli of patients with SCN9A-associated SFN on fMRI and the changes in structural connectivity using diffusion tensor imaging (DTI). This may provide a better understanding of the pathophysiological pathways for chronic pain. If successful, fMRI/DTI might be an additional tool as biomarker for evaluating therapy, and may contribute in the evaluation of novel therapeutic strategies.

• Study Type: Observational
• Enrollment (Anticipated): 60

Contacts and Locations

Study Locations

• Netherlands
  • Maastricht, Netherlands
    • Recruiting
    • Maastricht University Medical Center
    • Contact: Catharina G Faber, MD, PhD; Phone Number: +31433877059; Email: c.faber@mumc.nl

Participation Criteria

Eligibility Criteria

• Ages Eligible for Study: 18 years to 80 years (Adult, Older Adult)
• Accepts Healthy Volunteers: No
• Genders Eligible for Study: All

• Sampling Method: Probability Sample

Study Population

Patients can only participate when they are living in the Netherlands.

Description

Inclusion Criteria:

Patient group (SCN9A-associated SFN)

• Male and/or female subjects between the ages of 18 and 80 years.
• Presence of a clinical diagnosis of SFN, according to international criteria, and presence of confirmed abnormality on intra-epidermal nerve fiber density evaluation (IENFD) and/or Quantitative Sensory Testing (QST).
• A mutation in the SCN9A gene, confirmed by sequencing, with possible, probable or certain pathogenicity according to international criteria.
• Presence of pain due to SFN for at least 3 months and an average self-reported pain score of at least 5.
• Subjects must give informed consent by signing and dating an informed consent form.

Patient group (SFN without a gene mutation):

• Male and/or female subjects between the ages of 18 and 80 years.
• Presence of a clinical diagnosis of SFN, according to international criteria, including a decreased intra-epidermal nerve fiber density IENFD in skin biopsy.
• No mutation in the SCN9A, SCN10A or SCN11A gene, confirmed by sequencing.
• Presence of pain due to SFN for at least 3 months and an average self-reported pain score of at least 5.
• Subjects must give informed consent by signing and dating an informed consent form.

Control group

• Male and/or female subjects between the ages of 18 and 80 years.
• Subjects must give informed consent by signing and dating an informed consent form

Exclusion Criteria:

For all groups:

• Major depression according to DSM-V criteria or a history of major psychiatric disease.
• (History of) alcohol abuse
• HADS ≥ 14
• Subjects who have another pain syndrome than small fiber neuropathy.
• Contraindications for undergoing MRI: pacemaker, metallic foreign body (including aneurysm clip in the brain), claustrophobia, pregnancy, neurostimulator, pacemaker or other kinds of implanted devices or insulin pump. In case of cardiac valve replacement of ossicular replacement prosthesis the radiologist will be consulted.

Study Plan

How is the study designed?

Design Details

• Observational Models: Case-Control
• Time Perspectives: Cross-Sectional

Number of groups / cohorts

3

Cohorts and Interventions

Group / Cohort	Intervention / Treatment
SCN9A-group; Patients with SCN9A-associated small fiber neuropathy	Diagnostic test: functional MRI; functional MRI scan of the brain
Skin biopsy; Patients with SFN confirmed with a decreased intra-epidermal nerve fiber density (IENFD)	Diagnostic test: functional MRI; functional MRI scan of the brain
Control; Age- and gender-matched healthy controls	Diagnostic test: functional MRI; functional MRI scan of the brain

What is the study measuring?

Primary Outcome Measures

Outcome Measure	Measure Description	Time Frame
BOLD during heat stimulation	BOLD (blood-oxygen-level dependent) signal in 3 study cohorts (individuals with SCN9A mutation with small fiber neuropathy, individual with SCN9A mutation without small fiber neuropathy and matched, healthy controls) during heat stimulation. [ Time Frame: 1 day, single timepoint] Difference in BOLD signal measured by functional magnetic resonance imaging (fMRI) between study cohorts in primary somatosensory cortex, thalamus, dorsal striatum and ventral striatum.	Once (1 day)
BOLD during cold stimulations	BOLD (blood-oxygen-level dependent) signal in 3 study cohorts (individuals with SCN9A mutation with small fiber neuropathy, individual with SCN9A mutation without small fiber neuropathy and matched, healthy controls) during cold stimulation. [ Time Frame: 1 day, single timepoint] Difference in BOLD signal measured by functional magnetic resonance imaging (fMRI) between study cohorts in primary somatosensory cortex, thalamus, dorsal striatum, and ventral striatum.	Once (1 day)

Secondary Outcome Measures

Outcome Measure	Measure Description	Time Frame
Resting state	Resting state functional connectivity signal in 3 study cohorts (individuals with SCN9A mutation with small fiber neuropathy, individual with SCN9A mutation without small fiber neuropathy and matched, healthy controls) [Time Frame: 1 day, single timepoint] Difference in resting-state functional connectivity strength measured by functional magnetic resonance imaging (fMRI) between study cohorts in default-mode, sensorimotor and salience networks.	Once (1 day)
Fractional anisotropy	Fractional anisotropy in 3 study cohorts (individuals with SCN9A mutation with small fiber neuropathy, individual with SCN9A mutation without small fiber neuropathy and matched, healthy controls) [Time Frame: 1 day, single timepoint] Difference in fractional anisotropy measured by diffusion tensor imaging and tract based spatial statistics between study cohorts. Whole brain analysis will be performed.	Once (1 day)

Collaborators and Investigators

• Sponsor: Academisch Ziekenhuis Maastricht
• Collaborators: Harvard University

Study record dates

Study Major Dates

• Study Start (Actual): October 5, 2018
• Primary Completion (Anticipated): December 1, 2023
• Study Completion (Anticipated): December 1, 2023

Study Registration Dates

• First Submitted: November 21, 2018
• First Submitted That Met QC Criteria: March 25, 2019
• First Posted (Actual): March 26, 2019

Study Record Updates

• Last Update Posted (Actual): July 26, 2022
• Last Update Submitted That Met QC Criteria: July 25, 2022
• Last Verified: July 1, 2022

More Information

Terms related to this study

• Keywords: pain; functional MRI; fMRI
• Additional Relevant MeSH Terms: Nervous System Diseases; Neuromuscular Diseases; Peripheral Nervous System Diseases; Small Fiber Neuropathy
• Other Study ID Numbers: fMRI-SFN

Plan for Individual participant data (IPD)

• Plan to Share Individual Participant Data (IPD)?: No

Drug and device information, study documents

• Studies a U.S. FDA-regulated drug product: No
• Studies a U.S. FDA-regulated device product: No