ReviewCurrent neurology and neuroscience reports2026
Functional and Structural Brain Imaging Correlates of Treatment Response in Functional Movement Disorder.
Review in Current neurology and neuroscience reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Authors and funding
3 authors.
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Abstract
purpose of reviewFunctional movement disorder (FMD) is a biopsychosocially-complex condition with diverse neurologic, physical, and psychiatric manifestations. Converging neuroimaging evidence demonstrates abnormalities in networks supporting self-agency, attention, sensorimotor processing, multimodal integration, salience/threat detection, and interoception. This review summarizes recent work on the prognostic and therapeutic relevance of these findings. RECENT
findingsBaseline functional neuroimaging predictors of outcome implicate cingulo-insular, frontolimbic, and subcortical circuits involved in attention, emotion regulation, and salience processing. Clinical improvement has been associated with activity changes in frontal premotor and regulatory regions, as well as in paralimbic areas. Preliminary studies of transcranial magnetic stimulation, transcranial direct-current stimulation, and neurofeedback suggest that targeted modulation of dysfunctional networks may alleviate symptoms. Neuroimaging features in FMD may inform outcome prediction, elucidate treatment-response mechanisms, and guide neuromodulation strategies. However, the field remains early in development, and larger, longitudinal studies are needed to translate these insights into routine clinical care.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.