Posters & Abstracts

Browse conference posters and scientific abstracts featuring WAVi EEG and ERP acquisition across research and clinical environments. These presentations highlight study methodology, implementation approaches, and observed electrophysiological findings.

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Featured Research

EEG Biomarkers in ME/CFS Detection

This pilot study explored whether EEG brainwave patterns and event-related potentials (ERPs) could help differentiate individuals with ME/CFS from healthy controls. Using the WAVi headset and a series of auditory and visual cognitive tasks, researchers identified three EEG waveform characteristics associated with ME/CFS criteria, with the resulting classifier demonstrating 75% accuracy in differentiating study participants.

P300 latency (response timing) measured across age groups, showing changes from early adulthood through later life. The trend illustrates gradual differences in EEG-derived response timing over time, based on reference population data.
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More Posters and Abstracts

QEEG Evoked Potential Patterns in Pediatric Post-Concussion Symptoms

P300 latency (response timing) measured across age groups, showing changes from early adulthood through later life. The trend illustrates gradual differences in EEG-derived response timing over time, based on reference population data.

This retrospective study examined EEG and qEEG evoked potential voltage patterns in pediatric patients experiencing persistent post-concussion symptoms (PPCS). Researchers analyzed P300 EEG measurements across symptom-duration stages and identified potential trends in declining P300 voltage associated with prolonged post-concussion symptoms, supporting further investigation into objective neurophysiological measurements in concussion management and recovery monitoring.

Key Findings

• Study evaluated qEEG and P300 measurements in pediatric PPCS cases

• Researchers observed declining P300 voltage trends across progressive PPCS stages

• Reduced P300 voltage appeared more common in symptoms lasting longer than three months

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EEG Cortical P300 Testing in Rehabilitation & Concussion Monitoring

P300 latency (response timing) measured across age groups, showing changes from early adulthood through later life. The trend illustrates gradual differences in EEG-derived response timing over time, based on reference population data.

This research poster explored the use of EEG cortical P300 measurements in rehabilitation and concussion-related applications, including baseline athlete testing and post-concussion monitoring. Researchers evaluated P300 amplitude and delay measurements across multiple participant groups, demonstrating how EEG-derived metrics may provide objective insight into changes associated with brain injury and rehabilitation outcomes.

Key Findings

• P300 amplitude changes were evaluated in concussion and rehabilitation settings

• Baseline athlete testing included NCAA football, high school football, and women’s soccer participants

• Researchers observed measurable differences between baseline and post-injury EEG patterns

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Clinical EEG & ERP Tracking for TBI Neuromodulation Interventions

This abstract explored the use of EEG and cortical event-related potential (ERP) tracking techniques in traumatic brain injury (TBI) rehabilitation and neuromodulation interventions. Using advanced computer algorithms and Eigenvector clustering analysis, researchers evaluated EEG-derived physiological markers including P300 amplitude, cortical coherence, and response delays to monitor changes associated with rehabilitation and intervention response.

Key Findings

• Advanced EEG analysis techniques demonstrated separation between control and TBI-related EEG patterns

• Researchers observed measurable EEG changes following concussion and during rehabilitation progression

• P300 amplitude and cortical delay metrics showed consistent test-retest reliability

• EEG-based physiological changes frequently appeared prior to observed functional improvement

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EEG & Advanced Computer Analysis for Neurorehabilitation Tracking

This conference abstract examined how EEG, P300 testing, and advanced computer-based clustering analysis may support objective tracking of neurophysiological changes during rehabilitation and neuromodulation interventions. Researchers evaluated EEG-derived biomarkers across healthy controls and individuals with traumatic brain injury histories, exploring how physiological EEG patterns changed over time in response to rehabilitation efforts.

Key Findings

• EEG and ERP measurements were used to monitor neurophysiological changes over time

• Advanced clustering algorithms demonstrated separation between control and TBI-associated EEG patterns

• Researchers observed increases in P300 amplitude during rehabilitation progression

• EEG-based physiological trends often preceded measurable functional improvement

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