Clinical Data on Multi-Site Brain Stimulation Effects for Depression

Atefeh Ghazavi published clinical data from three subjects with treatment-resistant depression on April 30, 2026. The data likely contains measurements of neural power modulation from intracranial electrodes during unilateral and bilateral stimulation of subcallosal cingulate and ventral capsule/ventral striatum targets. The dataset is used for predictive modeling of additive, synergistic, or antagonistic interaction classes.

Use Cases

• Predicting interaction classes (additive, sub-additive) of combinatorial stimulations based on region of interest, stimulation target, and spectral frequency band.
• Analyzing power modulation across depression-related prefrontal networks in response to unilateral and bilateral stimulation.
• Training decision tree classifiers to identify the most important features for predicting stimulation interaction outcomes.
• Investigating the effects of multi-target stimulation on large-scale network activity in treatment-resistant depression.

Strengths

• Data includes recordings from four DBS leads and ten stereo-electroencephalography (sEEG) leads implanted in three subjects.
• Analysis evaluates power modulation across various combinations of frequency bands and regions of interest.
• Machine learning classifiers were applied to predict interaction classes based on marginal predictions from a linear mixed-effects model.

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• The dataset is very small, at 62.1 KB, indicating limited scope.

Provenance

Source

figshare

Collection Method

Data gathered from intracranial electrode recordings during DBS procedures in three subjects with TRD.

Freshness

Last updated 2026-04-30 05:24:04; freshness should be verified.