Neuroimaging Biomarkers of Prognosis in Motor Functional Neurological Disorders

Conversion Disorder Clinical Trial

Official title:

Neuroimaging Biomarkers of Prognosis in Motor Functional Neurological Disorders

Clinical Trial Details — Status: Completed

Administrative data

• NCT number: NCT03398070
• Other study ID #: 1K23MH111983-01A1
• Status: Completed
• Start date: September 1, 2017
• Est. completion date: January 20, 2023

Study information

• Verified date: August 2023
• Source: Massachusetts General Hospital
• Contact: n/a
• Is FDA regulated: No
• Study type: Observational

Clinical Trial Summary

Functional Neurological Disorder (FND/ Conversion Disorder) is a highly prevalent and disabling neuropsychiatric condition. Motor FND symptoms include Nonepileptic Seizures, Functional Movement Disorders and Functional Weakness. Clinical research across these motor FND subtypes, including research studies from the candidate's laboratory, suggest that these populations share many clinical and phenotypic similarities that warrant increased research integration. Furthermore, despite the prevalence of motor FND, little is known about the underlying pathophysiology of this condition, which is a prerequisite for the development of biologically informed prognostic and treatment response biomarkers. Across 3 published neurobiologically focused articles, the candidate proposed a framework through which to conceptualize motor FND. It is suggested that motor FND develops in the context of structural and functional alterations in neurocircuits mediating emotion awareness/expression, bodily awareness, viscerosomatic processing and behavioral regulation. The overall goal of this project is to comprehensively investigate structural and functional magnetic resonance imaging (MRI) biomarkers of prognosis across motor FND. Multimodal structural and functional MRI techniques (including voxel-based morphometry, cortical thickness, resting-state functional connectivity and diffusion tensor imaging tractography) will be used to systemically probe brain-prognosis relationships. Novel aspects of this proposal include the study of the full spectrum of motor FND, consistent with a trans-diagnostic approach.

Description:

Functional Neurological Disorder (FND) (Conversion Disorder) is a poorly understood and prevalent somatoform disorder, making up 16% of outpatient neurology referrals. Patients with motor FND (mFND) are difficult to treat, result in major morbidity, and are costly to the US. An estimated $256 billion is spent annually treating this population. mFND includes Nonepileptic Seizures (NES), Functional Movement Disorders (FMD) and Functional Weakness (FW). An impediment to managing mFND is the lack of a neurobiological understanding for this disorder. The diagnosis of mFND is currently based on qualitative aspects of behaviors, which may be difficult to interpret, and the absence of findings characteristic of other neuropsychiatric disorders on laboratory studies such as electroencephalography (EEG) and magnetic resonance imaging (MRI).

A major step forward would be the identification of neuroimaging biomarkers for mFND. mFND is understudied compared to other disorders, but recent studies point to distributed neurocircuit alterations associated with mFND. This project aims to advance our biological understanding of mFND by investigating neuroimaging biomarkers linked to prognosis. An improved understanding of the pathophysiology of mFND will provide a critical step in elucidating diagnostic, prognostic and treatment response biomarkers.

Aim:

Identify structural and functional biomarkers of prognosis at 6-months in patients with motor functional neurological disorders receiving an updated standard of care.

H1: Favorable mFND prognosis at 6 months post initial evaluation will be predicted by the degree of preserved baseline gray matter in limbic-paralimbic regions, particularly those part of the salience network.

H2: Favorable mFND prognosis at 6 months post initial evaluation will be predicted by the degree of preserved baseline resting-state functional connectivity in limbic/paralimbic areas, particularly those part of the salience network.

H3: Favorable mFND prognosis at 6 months will correlate with the degree of preserved baseline cingulum bundle and cingulum-insular tract integrity.

Recruitment information / eligibility

• Status: Completed
• Enrollment: 30
• Est. completion date: January 20, 2023
• Est. primary completion date: January 20, 2023
• Accepts healthy volunteers: No
• Gender: All
• Age group: 18 Years to 65 Years

Eligibility

Inclusion Criteria:

• clinically established motor functional neurological disorder, including individuals with functional movement disorders, functional limb weakness and psychogenic nonepileptic seizures

Exclusion Criteria:

• active suicidality

• major medical/neurological comorbidities with known central nervous system (CNS) consequences

• active drug use or alcohol dependence

• known history of a primary psychotic disorder

Related Conditions & MeSH terms

• Conversion Disorder
• Dissociative Disorders
• Nervous System Diseases

Intervention

Other:
• Standard of Care
The standard of care interventions for Functional Neurological Disorders (FND) include: delivery of a rule-in diagnosis providing educational materials referring to physical therapy (PT) and/or occupational therapy (OT) as clinically indicated referring to FND-related cognitive behavioral therapy (CBT) psychotropic medication management based on standard psychiatric care

Locations

Country	Name	City	State
United States	Massachusetts General Hospital	Boston	Massachusetts

Sponsors (1)

Lead Sponsor	Collaborator
Massachusetts General Hospital

Country where clinical trial is conducted

United States, 

References & Publications (2)

Diez I, Ortiz-Teran L, Williams B, Jalilianhasanpour R, Ospina JP, Dickerson BC, Keshavan MS, LaFrance WC Jr, Sepulcre J, Perez DL. Corticolimbic fast-tracking: enhanced multimodal integration in functional neurological disorder. J Neurol Neurosurg Psychi — View Citation

Perez DL, Williams B, Matin N, Mello J, Dickerson BC, LaFrance WC Jr, Keshavan MS. Anterior hippocampal grey matter predicts mental health outcome in functional neurological disorders: an exploratory pilot study. J Neurol Neurosurg Psychiatry. 2018 Nov;89 — View Citation

Outcome

Type	Measure	Description	Time frame	Safety issue
Primary	Gray Matter Volume Biomarkers of 6 Month Prognosis as Measured by Voxel Based Morphometry - Within Group Comparison	Correcting for multiple comparisons in structural analyses, baseline structural grey matter volumes in limbic/paralimbic regions (particularly those affiliated with the salience network), would relate to clinical outcome in individuals receiving the standard of care at 6 months. Analyses reported refer to change in either mental health or physical health scores and baseline gray matter volume. The number presented is the peak voxel z-score as also reported in Supplementary Table 4 of the published manuscript.; Z-scores are presented in absolute values (with the lowest value being 0). A higher z-score represents a stronger correlation between a given gray matter volume value (at the peak voxel) and the measure of interest (in case mental health or physical health scores). The entry under "row title" specifies if the association is a "positive" vs a "negative" association.	baseline and 6 months
Primary	Resting State Functional Connectivity Strength Biomarkers of 6 Month Prognosis - Within Group Comparison	Correcting for multiple comparisons in resting state connectivity analyses, baseline functional connectivity strength (t-statistic scores) across limbic/paralimbic regions (particularly those affiliated with the salience network), would relate to clinical outcome in individuals receiving the standard of care at 6 months. Here, we tested if link-step connectivity from primary motor areas or amygdala nuclei related to change in clinical outcome. Specifically, we are providing the t-statistic for the connectivity strength between left centromedial amygdala to right anterior insula.; Functional connectivity strength is based on the correlation of low frequency brain oscillations measured at rest. A large t-statistic value reflects greater connectivity between brain voxels.	baseline and 6 months
Primary	The Integrity of Specific White Matter Tracts (Fractional Anisotropy) as Measured by Diffusion Tensor Imaging (DTI) Tractography Will Relate to 6-month Prognosis	Baseline integrity of the cingulum bundle and cingulate-insular tracts, as measured by fractional anisotropy, would relate to 6 month prognosis in patients with Functional Neurological Disorders (FND) receiving the standard of care.; Outcome was not assessed - no time to analyze data given prior challenges with the pandemic. Unable to report data in any table as the white matter images have not been analyzed.	baseline and 6 months

External Links

•   See Figure 1 for relevant results
•   See Figure 5 for relevant results