The field of movement disorders, particularly tremor syndromes, is undergoing a transformative shift driven by advancements in precision medicine. Tremor, a common and heterogeneous movement disorder, presents challenges in diagnosis and management due to its diverse phenotypes and etiologies. A comprehensive, multimodal approach encompassing clinical assessment, neurophysiological testing, neuroimaging, and molecular profiling has proven essential for improving the characterization and differentiation of tremor syndromes. However, despite these advances, there remains a critical need for more precise diagnostic criteria and prognostic tools to enhance patient stratification and treatment personalization. In parallel, significant gaps persist in our understanding of the underlying mechanisms and the dynamic interactions among different biomarker domains, highlighting the need for continued investigation through comprehensive and collaborative research approaches.

This Research Topic aims to explore the emerging field of precision medicine as applied to tremor syndromes. Specifically, it seeks to address how various biomarkers across clinical, neurophysiological, and neuroimaging dimensions could be leveraged to refine diagnostic accuracy and inform treatment paradigms. By exploring these dimensions, the Research Topic endeavors to bridge current knowledge gaps and facilitate the development of a standardized approach to tremor classification. In doing so, this initiative aims to answer pivotal questions about genotype-phenotype interactions, the predictive value of biomarkers for disease progression, and the integration of machine learning for enhanced prognostic models.

To further advance our understanding of tremor in the context of precision medicine, we welcome submissions across a wide range of manuscript types supported by the journal—including Original Research, Brief Research Reports, Perspectives, Protocols, Mini-Reviews, and more—exploring, but not limited to, the following themes:
- Genetic and neurochemical biomarkers in tremor syndromes
- Clinical, neurophysiological, and kinematic characterization of tremor phenotypes
- Neuroimaging features for tremor phenotyping and subtype differentiation
- Machine learning and computational models for tremor classification and outcome prediction
- Longitudinal studies identifying clinical biomarkers of disease progression
- Cognitive and psychiatric correlates of tremor: diagnostic and prognostic implications
- Therapeutic response as a tool for phenotypic stratification and precision treatment

Authors are encouraged to submit research that contributes to a comprehensive understanding of tremor syndromes and supports improved clinical management through the innovative application of biomarkers and phenotyping.

Articles accepted after peer review will be published and appear online as soon as approved for publication.

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Redefining Tremor Syndromes: Precision Medicine through Phenotyping and Biomarkers