Neuroimaging Biomarkers of Prognosis in Motor Functional Neurological Disorders
试验速览
- 阶段
- 不适用
- 状态
- 已完成
- 入组人数
- 30
- 试验地点
- 1
- 主要终点
- The Integrity of Specific White Matter Tracts (Fractional Anisotropy) as Measured by Diffusion Tensor Imaging (DTI) Tractography Will Relate to 6-month Prognosis
研究概览
简要总结
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.
详细描述
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.
研究设计
- 研究类型
- Observational
- 观察模型
- Cohort
- 时间视角
- Prospective
入排标准
- 年龄范围
- 18 Years 至 65 Years（Adult, Older Adult）
- 性别
- All
- 接受健康志愿者
- 否
入选标准
- •clinically established motor functional neurological disorder, including individuals with functional movement disorders, functional limb weakness and psychogenic nonepileptic seizures
排除标准
- •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
结局指标
主要结局
The Integrity of Specific White Matter Tracts (Fractional Anisotropy) as Measured by Diffusion Tensor Imaging (DTI) Tractography Will Relate to 6-month Prognosis
时间窗: baseline and 6 months
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.
Resting State Functional Connectivity Strength Biomarkers of 6 Month Prognosis - Within Group Comparison
时间窗: baseline and 6 months
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.
Gray Matter Volume Biomarkers of 6 Month Prognosis as Measured by Voxel Based Morphometry - Within Group Comparison
时间窗: baseline and 6 months
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.
次要结局
未报告次要终点
研究者
David Lewis Perez
Principal Investigator
Massachusetts General Hospital