EEG Differences Between Delirium and Seizures
The key EEG difference between delirium and seizures is that delirium typically shows diffuse slowing with increased delta (<4 Hz) and theta (4-8 Hz) oscillations and decreased alpha (>8 Hz) activity, while seizures show paroxysmal epileptiform discharges that may evolve in frequency, amplitude, and spatial distribution. 1
Characteristic EEG Findings
Delirium EEG Patterns
- Background activity: Diffuse slowing of background activity 1
- Frequency changes:
- Increased delta (<4 Hz) and theta (4-8 Hz) oscillations
- Decreased alpha (>8 Hz) oscillations 1
- Functional connectivity: Impaired and less integrated, especially following stressors 1
- Spectral variability: Increased with often periodic discharges such as triphasic waves and polymorphic delta activity 1
- Severity correlation: EEG changes correlate with cognitive performance and delirium severity 1
- Diagnostic accuracy: Quantitative EEG can distinguish delirious from non-delirious patients with sensitivity of 100% and specificity of 99% 1
Seizure EEG Patterns
- Epileptiform discharges: Sharp waves, spikes, or spike-and-wave complexes 1
- Evolution: Changes in frequency, amplitude, or spatial distribution over time 1
- Post-ictal state: Diffuse slowing after seizure activity resolves 1
- Non-convulsive status epilepticus (NCSE): Continuous epileptiform activity without obvious clinical seizures 1
Diagnostic Challenges and Overlap
Distinguishing Features
- Pattern evolution: Seizure activity typically shows evolution in frequency and amplitude, while delirium shows more consistent slowing 1
- Response to treatment: Seizure patterns typically respond to anticonvulsants, while delirium EEG changes persist unless underlying cause is addressed 2
- Spatial distribution: Seizures may have focal onset before spreading, while delirium typically shows diffuse abnormalities from onset 1
Potential Overlap
- NCSE presenting as delirium: Up to 28% of elderly patients with delirium show EEG patterns compatible with NCSE when continuous EEG monitoring is performed 3
- Post-ictal state: Can be confused with delirium due to similar EEG findings of diffuse slowing 1
- Altered consciousness: Both conditions can present with altered level of consciousness and similar EEG findings 1
Clinical Implications for Management
When to Suspect Seizures in Apparent Delirium
- Fluctuating level of consciousness without clear metabolic cause 1
- History of epilepsy or recent seizure activity 1
- Lack of response to standard delirium management 4
- Subtle motor manifestations (eye or facial twitching, automatisms) 1
EEG Monitoring Recommendations
- Consider emergent EEG in patients suspected of being in non-convulsive status epilepticus or subtle convulsive status epilepticus 1
- Continuous EEG monitoring is superior to routine 20-minute EEG for detecting patterns compatible with NCSE (28% vs 6% detection rate) 3
- Regular reassessment with repeat EEG to assess treatment efficacy in cases where seizure activity is suspected 4
Treatment Implications
- For seizure activity: Lorazepam 4 mg IV given slowly (2 mg/min) is the recommended initial treatment for status epilepticus in adults 2
- For delirium without seizure activity: Focus on treating underlying causes and providing supportive care 4
- When both are suspected: Treat for possible NCSE while investigating and addressing underlying causes of delirium 1, 4
High-Risk Populations
- Elderly patients: Higher risk of both delirium and non-convulsive status epilepticus 5, 3
- ICU patients: Delirium affects approximately 31% of ICU patients 6
- Patients with cognitive impairment: More susceptible to both conditions 3
- Patients with electrolyte abnormalities: Particularly hypernatremia, which is associated with NCSE in delirious patients 3
Prognostic Significance
- Patients with delirium and patterns compatible with NCSE have significantly higher mortality rates and longer hospital stays 3
- The degree of EEG changes correlates with the severity of encephalopathy and can be used to monitor therapy 7
Remember that while EEG is a valuable diagnostic tool, clinical correlation is essential, and treatment decisions should be based on both EEG findings and clinical presentation.