Theta Coherence in Emotional Face Processing for Neurodegenerative Disorders

Hakan Uzunlar published a study on figshare in April 2026. The dataset contains event-related theta spectral coherence measurements from electroencephalographic recordings of 106 participants, including patients with Alzheimer's disease, Parkinson's disease, and mild cognitive impairment, as well as healthy elderly controls. Participants were presented with angry, happy, and neutral facial expressions 60 times each in a pseudo-random order.

Use Cases

• Compare intra-hemispheric and inter-hemispheric theta coherence based on the electrode pairs described.
• Analyze differences in emotional facial expression processing between Alzheimer's and Parkinson's disease patients.
• Model the relationship between theta spectral coherence and cognitive impairment stages (MCI vs. dementia).
• Investigate right versus left hemisphere dominance in emotional processing across neurodegenerative conditions.

Strengths

• Includes data from 106 participants across five distinct clinical and control groups.
• Measures coherence for specific intra-hemispheric and inter-hemispheric electrode pairs as detailed in the methods.
• Stimuli include three distinct emotional facial expressions (angry, happy, neutral) presented 60 times each.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• The 192.4 KB file size suggests a limited scope, likely containing summary or processed results rather than raw time-series data.

Provenance

Source

figshare

Collection Method

Electroencephalographic recordings during an emotional facial expression recognition task.

Time Range

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Freshness

Last updated 2026-04-16 05:16:36; freshness should be verified.

Geography

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