Research › Practitioner Perspectives
Trait and State-Based Depression Indicators Measured Using Real-Time sLORETA Imaging and Quantification
STS Instructor Authored by Thomas Collura
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Article at a glance
Practitioner perspective. This article describes a clinician's own experience, cases or methods. It was not peer reviewed or controlled, so it can be subjective. Read it as practical insight, not as evidence that a treatment works.
- Area
- Practitioner Perspectives
- Authors
- Collura TF, Bonnstetter R, Bonnstetter B, Hebets D
- Journal
- IPEG 17th Biennial Conference, New York (poster)
- Year
- 2012
- Population
- Adults
- Protocol
- Real-time sLORETA imaging of responses to emotionally charged stimuli; frontal asymmetry measures
- Equipment
- BrainMaster real-time sLORETA
Key findings
- Whole-brain sLORETA images computed at live data rates, with under one second of resolution
- Aims to capture both trait depression and moment-to-moment reactions to emotionally charged stimuli
- Builds on published links between frontal asymmetry, mood and approach/avoidance
- Method description only; no participant numbers or outcome data in the abstract
A conference poster describing a method for assessing depressed mood from the EEG in real time. It is not a resting snapshot: the system computes whole-brain sLORETA images at live data rates, under a second apiece, giving a moving picture of activation while the person reacts to emotionally charged stimuli. The authors draw on published work linking frontal asymmetry to mood and to approach versus avoidance. They argue that an assessment should capture both a person's lasting tendency (trait) and their moment-to-moment reactions (state), and that existing EEG assessments mostly capture only the first. The abstract describes the method and its rationale as part of a study of self-report assessment and EEG; it gives no participant numbers or results.