Abnormal beta power is a hallmark of explicit movement control in functional movement disorders
Year: 2017
Type: article
Study design: Observational Study
Abstract: Objective To determine whether sensorimotor beta-frequency oscillatory power is raised during motor preparation in patients with functional movement disorders (FMD) and could therefore be a marker of abnormal “body-focused” attention. Methods We analyzed motor performance and beta-frequency cortical oscillations during a precued choice reaction time (RT) task with varying cue validity (50% or 95% congruence between preparation and go cues). We compared 21 patients with FMD with 13 healthy controls (HCs). Results In HCs, highly predictive cues were associated with faster RT and beta desynchronization in the contralateral hemisphere (contralateral slope −0.045 [95% confidence interval (CI) −0.057 to −0.033] vs ipsilateral −0.033 [95% CI −0.046 to −0.021], p < 0.001) and with a tendency for reaching lower contralateral end-of-preparation beta power (contralateral −0.482 [95% CI −0.827 to −0.137] vs ipsilateral −0.328 [95% CI −0.673 to 0.016], p = 0.069). In contrast, patients with FMD had no improvement in RTs with highly predictive cues and showed an impairment of beta desynchronization and lateralization before movement. Conclusions Persistent beta synchronization during motor preparation could reflect abnormal explicit control of movement in FMD. Excessive attention to movement itself rather than the goal might maintain beta synchronization and impair performance.
Source: Neurology
Authors: Tiago Teodoro, Anne Marthe Meppelink, Simon Little, Robert Grant, Glenn Nielsen, Antonella Macerollo, Isabel Pareés, Mark J. Edwards
Institutions: University of London, University Medical Center Groningen, University of Lisbon, St George's, University of London, University of Groningen, Kingston University London, St George’s University Hospitals NHS Foundation Trust, Hospital de Santa Maria, Hospital Ruber Internacional, Instituto de Medicina Molecular João Lobo Antunes, UCL Queen Square Institute of Neurology, University College London
Language: English
Subfield: Neurology
Field: Medicine
Domain: Health Sciences
Open Access status: hybrid
Funders: Wellcome Trust, Medical Research Council
OpenAlex ID: W2779060416
