Cross-Frequency Synchronization in Visual Working Memory Networks

Featuring magnetoencephalography (MEG) and electroencephalography (EEG) data from a study investigating cross-frequency phase synchrony (CFS) during visual working memory maintenance. The data was collected by Felix Siebenhühner and published in 2020 to explore load-dependent synchronization between theta, alpha, beta, and gamma oscillations across visual, fronto-parietal, and dorsal attention brain systems.

Use Cases

• Analyze load-dependent enhancement of cross-frequency phase synchrony (CFS) between theta and alpha-gamma oscillations.
• Investigate the relationship between CFS strength and individual visual working memory capacity as a predictive measure.
• Examine how CFS connects hubs of within-frequency-synchronized networks across theta, alpha, beta, and gamma bands.
• Study phase synchronization patterns in beta/gamma and theta/alpha bands across visual, fronto-parietal, and dorsal attention systems.

Strengths

• Data originates from concurrent magnetoencephalography (MEG) and electroencephalography (EEG) recordings, providing multi-modal neurophysiological measurements.
• The study specifically investigates cross-frequency phase synchrony (CFS), a key mechanism for integrating sensory and attentional brain functions.
• Dataset is published under a CC0 1.0 public domain license, allowing for unrestricted reuse.

Limitations

• The specific sample size (number of participants or recording sessions) is not provided in the input metadata.
• The available data fields, file formats, and data structure (e.g., time-series matrices, connectivity matrices) are unknown.
• The dataset's last update was in June 2020, which may limit compatibility with the latest analytical tools or pipelines.

Provenance

Source

Dryad digital repository.

Collection Method

Concurrent magnetoencephalography (MEG) and electroencephalography (EEG) recordings during a visual working memory task.

Freshness

Last updated on 2020-06-30.