ArticleJournal of neurophysiology2025
Spectral changes in motor thalamus field potentials during movement.
Article in Journal of neurophysiology, 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.
- AI-based discovery of functional boundaries in the human brain from intraoperative electrophysiology.medRxiv : the preprint server for health sciences · 2026Article
- sEEG-based brain-computer interfacing in a large adult and pediatric cohort.Journal of neural engineering · 2025Article
- Analyses of biomarkers for tremor using local field potentials recorded from deep brain stimulation electrodes in the thalamus.Brain stimulationArticle
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Authors and funding
5 authors.
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Abstract
The motor thalamus plays a crucial role in integrating and modulating sensorimotor information. Although voltage power spectral changes in the motor cortex with movement are well-characterized, corresponding activity in the motor thalamus, particularly broadband power change, remains unclear. The present study aims to characterize spectral changes in the motor thalamus during hand movements of 15 subjects undergoing awake deep brain stimulation surgery targeting the ventral intermediate (Vim) nucleus of the thalamus for disabling tremor. We analyzed power changes in subject-specific low-frequency oscillations (<30 Hz) and broadband power (captured in 65-115 Hz band) of serial field potential recordings. Consistent with previous studies, we found widespread decreases in low-frequency oscillations with movement. Importantly, in most subjects, we observed that sites with significant increases in broadband power were more spatially discrete, primarily involving the inferior recording sites within the ventral thalamus. One subject also performed an imagined movement task during which low-frequency oscillatory power was suppressed. These electrophysiological changes may be leveraged as biomarkers for thalamic functional mapping, DBS targeting, and closed-loop applications.
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