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Biomarkers in functional movement disorders: a systematic review
Birgitte Liang Chen Thomsen1,2, Tiago Teodoro3,4, Mark J Edwards5
1Neurology, Bispebjerg Hospital, Copenhagen, Denmark.
Biomarkers for functional movement disorders (FMD) show promise for diagnosing conditions like tremor and myoclonus. However, significant gaps remain for conditions like dystonia and tics, and for predicting treatment success.
Area of Science:
- Neurology
- Neuroscience
- Biomarker Research
Background:
- Functional movement disorders (FMD) involve impaired voluntary movement control despite intact neural capacity.
- Clinical diagnosis is often sufficient, but challenges exist, necessitating better diagnostic and prognostic tools.
- There is a need for reliable biomarkers to guide treatment and predict outcomes in FMD.
Purpose of the Study:
- To systematically review existing biomarkers for functional movement disorders.
- To identify reliable diagnostic biomarkers and predictors of treatment response and prognosis.
- To highlight gaps in current biomarker research for FMD.
Main Methods:
- Systematic review of 86 studies meeting predefined criteria.
- Analysis of electroencephalography (EEG), electromyography (EMG), and functional MRI (fMRI) findings.
- Evaluation of biomarkers for diagnostic accuracy, treatment response, and prognosis.
Main Results:
- Reliable EEG and EMG biomarkers exist for functional myoclonus and tremor.
- Promising biomarkers are emerging for functional paresis, gait, and balance disorders.
- Diagnostic biomarkers are lacking for functional dystonia and tics; many current biomarkers are group-level and not individually predictive.
Conclusions:
- Significant gaps exist in diagnostic biomarkers for FMD, particularly for conditions with diagnostic uncertainty.
- There is a critical lack of biomarkers predicting treatment response and long-term prognosis in FMD.
- Further research is needed to develop individually predictive and clinically applicable biomarkers for FMD.
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