Theta-Band Brain Network EEG Data Following iTBS in Aging and MCI

A 412.0 KB PDF contains a pilot case series applying the SPECTRE method to analyze spatially resolved EEG data. The study examines theta-band brain electrical network changes following active versus sham intermittent theta-burst stimulation in cognitively normal older adults and individuals with mild cognitive impairment. Lawrence R. Frank authored this work, which was last updated in March 2026.

Use Cases

• Analyze theta-band brain electrical network (BEN) changes from EEG data to assess neuromodulation effects.
• Compare SPECTRE-derived network metrics between active iTBS and sham stimulation conditions.
• Investigate EEG-based network modulation patterns across cognitively normal aging and mild cognitive impairment cohorts.

Strengths

• Data is derived from a sham-controlled transcranial magnetic stimulation intervention study.
• The SPECTRE method provides high spatial and temporal resolution for whole-brain frequency-dependent network reconstruction.
• The dataset is openly shared under a CC BY 4.0 license.

Limitations

• The dataset is a single 412.0 KB PDF file, not a structured, machine-readable data table.
• The study is described as a pilot case series with a small sample size, limiting statistical power.
• No raw EEG time series data or tabular features are provided for direct computational analysis.

Provenance

Source

figshare

Collection Method

SPECTRE method applied to standard EEG data from a sham-controlled TMS intervention study.

Time Range

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Freshness

Last updated March 2026.

Geography

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