Evidence map›Paper›PMID 38789576›Full record

ArticleScientific reports2024

Dichotomous frequency-dependent phase synchrony in the sensorimotor network characterizes simplistic movement.

Vivek P Buch, Cameron Brandon, Ashwin G Ramayya, Timothy H Lucas, Andrew G Richardson

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Article in Scientific reports, 2024. 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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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Vivek P BuchDepartment of Neurosurgery, School of Medicine, Stanford University, Palo Alto, CA, 94304, USA. vpbuch@stanford.edu.
Cameron BrandonDepartment of Neurosurgery, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA.
Ashwin G RamayyaDepartment of Neurosurgery, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA.
Timothy H LucasDepartments of Neurosurgery and Biomedical Engineering, The Ohio State University, Columbus, OH, 43210, USA.
Andrew G RichardsonDepartment of Neurosurgery, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

It is hypothesized that disparate brain regions interact via synchronous activity to control behavior. The nature of these interconnected ensembles remains an area of active investigation, and particularly the role of high frequency synchronous activity in simplistic behavior is not well known. Using intracranial electroencephalography, we explored the spectral dynamics and network connectivity of sensorimotor cortical activity during a simple motor task in seven epilepsy patients. Confirming prior work, we see a "spectral tilt" (increased high-frequency (HF, 70-100 Hz) and decreased low-frequency (LF, 3-33 Hz) broadband oscillatory activity) in motor regions during movement compared to rest, as well as an increase in LF synchrony between these regions using time-resolved phase-locking. We then explored this phenomenon in high frequency and found a robust but opposite effect, where time-resolved HF broadband phase-locking significantly decreased during movement. This "connectivity tilt" (increased LF synchrony and decreased HF synchrony) displayed a graded anatomical dependency, with the most robust pattern occurring in primary sensorimotor cortical interactions and less robust pattern occurring in associative cortical interactions. Connectivity in theta (3-7 Hz) and high beta (23-27 Hz) range had the most prominent low frequency contribution during movement, with theta synchrony building gradually while high beta having the most prominent effect immediately following the cue. There was a relatively sharp, opposite transition point in both the spectral and connectivity tilt at approximately 35 Hz. These findings support the hypothesis that task-relevant high-frequency spectral activity is stochastic and that the decrease in high-frequency synchrony may facilitate enhanced low frequency phase coupling and interregional communication. Thus, the "connectivity tilt" may characterize behaviorally meaningful cortical interactions.

Indexed as

MovementSensorimotor CortexAdultElectroencephalographyEpilepsyFemaleHumansMaleNerve NetYoung Adult

Identifiers

PMID38789576
PMCPMC11126677

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