ArticleEuropean journal of neurology2025
Positive signs from the history as an aid for early diagnosis in functional movement disorders: The prospective TASMAN study.
Article in European journal of neurology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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Who cites it
3 citing papers in PubMed.
- Functional Neurological Symptoms After Mild Traumatic Brain Injury: A Scoping Review and Framework for Differentiating Functional and Organic Post-Concussion Presentations.Life (Basel, Switzerland) · 2026Review
- Functional Movement Disorder: Evolving Mechanisms, Diagnostic Precision, and Personalized Multidisciplinary Care.Movement disorders clinical practice · 2025Review
- Positive signs from the history as an aid for early diagnosis in functional movement disorders: The prospective TASMAN study.European journal of neurology · 2025Article
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
background and purposeThere has been a concerted move in recent times to shift from an exclusionary to a positive diagnosis of functional movement disorders (FMDs). To date, most of the focus has been on defining positive physical signs. Here the focus was on the diagnostic specificity of specific symptoms and patient characteristics.
methodsFor this prospective cohort study, newly referred patients in the Netherlands and Australia were recruited before their first neurology appointment. Participants completed questionnaires within 2 months prior to their visit at one of the six different clinics. Directly following the first consultation, physicians received a questionnaire about their diagnostic process. Patients were excluded if the diagnosis was not a movement disorder. Univariate and multivariate regression analyses were conducted to identify predictors of FMDs. Subsequently, a predictive model was constructed and assessed using the area under the receiver operating curve.
resultsBetween 1 March 2021 and 1 March 2023, 465 patients were eligible for inclusion, of whom 171 (37%) had an FMD and 294 (63%) a non-FMD. Distinguishing factors amongst these groups included age at onset, gender, history or family history of a functional and psychiatric disorder, sudden onset, specific triggers, fluctuation patterns throughout the day and over an extended period, pain, fatigue, depression, anxiety and dissociation. Using these, a predictive model was developed, yielding a discriminative accuracy of 88%.
conclusionSpecific symptoms and patient characteristics have high diagnostic discriminative value between FMDs and non-FMDs, providing an additional tool in positive diagnosis.
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