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Auditory Processing in DOC Patients
Sponsor: BDH-Klinik Hessisch Oldendorf
Summary
This prospective observational study investigates whether electroencephalography (EEG) can improve the differentiation between unresponsive wakefulness syndrome (UWS) and minimally conscious state (MCS) in patients with severe acquired brain injury. The study further examines the association between EEG markers of auditory processing and long-term functional outcome at 12 months.
Official title: Hierarchical Auditory Processing in Disorders of Consciousness: From Basic Deviance Detection to Semantic Integration
Key Details
Gender
All
Age Range
18 Years - 80 Years
Study Type
OBSERVATIONAL
Enrollment
42
Start Date
2026-04-15
Completion Date
2028-03-31
Last Updated
2026-03-06
Healthy Volunteers
No
Interventions
Coma Recovery Scale-Revised (CRS-R)
The Coma Recovery Scale-Revised (CRS-R) is a standardized behavioral assessment instrument used to determine the level of consciousness in patients with severe brain injury. It comprises six subscales evaluating auditory, visual, motor, oromotor/verbal, communication, and arousal functions, with hierarchically structured items to identify the highest level of behavioral responsiveness.
Electroencephalography (EEG)
Electroencephalography (EEG) is a non-invasive neurophysiological method used to record spontaneous and stimulus-related electrical brain activity via scalp electrodes. In this study, bedside EEG recordings are performed using structured auditory stimulation paradigms designed to elicit event-related potentials (ERPs). These include hierarchical paradigms assessing different levels of auditory processing, ranging from basic sensory discrimination (e.g., mismatch negativity, MMN) to higher-order cognitive processing (e.g., N400 responses). EEG-derived ERP markers are analyzed to determine the highest detectable level of auditory processing and to evaluate their association with clinical diagnosis and long-term functional outcome.
Locations (1)
BDH-Klinik Hessisch Oldendorf
Hessisch Oldendorf, Lower Saxony, Germany