EEG for Pain Research and Quantitative Sensory Testing (QST)
Event-related potentials (ERPs) provide precise, time-locked insights into how the brain processes sensory, cognitive, and emotional stimuli. From measuring the P300 for attention to the N400 for memory access, capturing high-fidelity evoked potentials requires sub-millisecond precision.
TEEG enables the study of how the brain responds to pain and sensory input in real time. By capturing neural activity during tactile, thermal, or electrical stimulation, researchers can map nociceptive processing and identify individual differences in sensitivity.
Mentalab’s high-precision mobile EEG technology supports scientists and clinicians in assessing pain-related evoked potentials (PREP) and monitoring neural changes across treatments or interventions. Our system is designed for ecological validity, allowing for pain assessment in clinical settings or naturalistic environments without the constraints of traditional, stationary amplifiers.
Standardized QST Protocols: The integration between Mentalab Explore and LabBench.io streamlines the workflow for pressure pain thresholds and nerve excitability, providing a turnkey solution for clinical sensory research.
Our Solution
- Specialized QST Compatibility: Fully compatible with LabBench.io for cuff pressure algometry, nerve excitability testing, and standardized Quantitative Sensory Testing (QST).
- High-Fidelity Signal: Wireless, high-resolution EEG (up to 32 channels) with 8 kHz sampling rates, ideal for capturing fast Somatosensory Evoked Potentials (SSEP).
- Multimodal Pain Metrics: Integrated ExG capabilities to record EMG (for reflex withdrawal), ECG (for Heart Rate Variability/HRV), and EOG simultaneously.
- Zero-Latency Triggers: High-precision wireless event marking (< 1 ms) for perfect synchronization between sensory stimuli and neural response.
- Seamless Workflow: Integration with leading sensory research platforms (E-Prime, Presentation, EEGLAB, BESA) and analysis pipelines.
- Participant-Centric Design: Lightweight, wearable EEG design that improves participant comfort during long-term clinical pain monitoring studies.
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Resources
Publications
Validity of central pain processing biomarkers for predicting the occurrence of oncological chronic pain: a study protocol
Carrillo-de-la-Peña, M. T., Fernandes, C., Castro, C., PAINLESS Consortium Rubal Lara Samartin-Veiga Noelia Yarnitzsky David Arendt-Nielsen Lars Dahl Carsten, & Medeiros, R. (2024). Validity of central pain processing biomarkers for predicting the occurrence of oncological chronic pain: a study protocol. BMC cancer, 24(1), 705.