Pick Susannah, Millman L S Merritt, Davies Jessica, Hodsoll John, Stanton Biba, David Anthony S, Edwards Mark J, Goldstein Laura H, Mehta Mitul A, Nicholson Timothy R, Reinders A A T S, Winston Joel S, Chalder Trudie, Hotopf Matthew
Institute of Psychiatry, Psychology & Neuroscience, King's College London, United Kingdom.
Institute of Psychiatry, Psychology & Neuroscience, King's College London, United Kingdom.
Psychiatry Res. 2024 Dec;342:116247. doi: 10.1016/j.psychres.2024.116247. Epub 2024 Oct 28.
Functional neurological symptom disorder (FNSD) is a neuropsychiatric diagnosis referring to symptoms resembling those of neurological disorders, occurring without causal neuropathology. FNSD has a complex biopsychosocial aetiology but its mechanisms are poorly understood. Remote monitoring technologies (RMT) could provide critical insights into functional neurological symptoms (FNS) in real-world contexts. We examined the feasibility and acceptability of a novel RMT protocol, to identify psychobiological correlates and antecedents of FNS in everyday life. Seventeen individuals with FNS (seizures/motor) and 17 healthy controls (HC) completed ecological momentary assessments (EMA) eight times daily for 1-week, reporting FNS severity, associated physical and psychological symptoms, and subjectively significant events. Sleep quality was reported daily. Physiological variables were measured using wearable Fitbit 5 devices. Multilevel modelling examined variables associated with FNS variability. Average EMA completion rates were good in both groups (≥80%). At week-level, the FNS group reported significantly greater subjective arousal, pain, fatigue, dissociation, negative affect, daily events, stressful events, and sleep duration, compared to HC. Objective sleep disturbance and duration, and resting heartrate, were also significantly greater in the FNS sample. FNS severity correlated significantly with daily events, affect, subjective arousal, pain, fatigue and sleep disturbance, at day- or within-day levels. Daily events and negative affect were the most prominent time-lagged predictors of within-day moment-to-moment FNS severity. RMTs are feasible and acceptable tools for investigation of FNS in real-world settings, revealing daily events and negative affect as possible triggers of FNS. Interventions targeting affective reactivity and regulation might be beneficial in this group. Larger-scale, longer-term RMT studies are needed in this population.
功能性神经症状障碍(FNSD)是一种神经精神疾病诊断,指出现类似神经系统疾病的症状,但无因果性神经病理学改变。FNSD具有复杂的生物心理社会病因,但其机制尚不清楚。远程监测技术(RMT)可以在现实环境中为功能性神经症状(FNS)提供关键见解。我们研究了一种新型RMT方案的可行性和可接受性,以确定日常生活中FNS的心理生物学关联因素和先兆因素。17名患有FNS(癫痫/运动症状)的个体和17名健康对照者(HC)连续1周每天进行8次生态瞬时评估(EMA),报告FNS严重程度、相关的身体和心理症状以及主观上有意义的事件。每天报告睡眠质量。使用可穿戴的Fitbit 5设备测量生理变量。多层次建模研究了与FNS变异性相关的变量。两组的平均EMA完成率都很高(≥80%)。在周水平上,与HC相比,FNS组报告的主观唤醒、疼痛、疲劳、分离感、消极情绪、日常事件、应激事件和睡眠时间明显更多。FNS样本中的客观睡眠障碍和时长以及静息心率也明显更高。在日或日内水平上,FNS严重程度与日常事件、情绪、主观唤醒、疼痛、疲劳和睡眠障碍显著相关。日常事件和消极情绪是日内即时FNS严重程度最突出的时间滞后预测因素。RMT是在现实环境中研究FNS的可行且可接受的工具,揭示日常事件和消极情绪可能是FNS的触发因素。针对情感反应性和调节的干预措施可能对该群体有益。需要对该人群进行更大规模、更长期的RMT研究。