
EEG Interpretation Course
Master the full spectrum of EEG interpretation, from normal rhythms across the lifespan to complex epileptiform discharges and critical care monitoring. This course equips neurologists, neurophysiology fellows, and EEG technologists with the systematic skills needed to read, classify, and report EEG findings with clinical confidence.
What you will learn:
This course covers the biophysical foundations of EEG signal generation, electrode placement using the 10-20 system, and montage design strategies. You will learn to identify normal EEG patterns across all age groups, recognize benign variants, and accurately classify epileptiform discharges linked to specific epilepsy syndromes. The curriculum addresses artifact recognition, encephalopathy grading, and continuous ICU monitoring protocols including nonconvulsive seizure detection. Advanced topics include presurgical evaluation, quantitative EEG analysis, neonatal monitoring, and AI-assisted interpretation tools. By the end, you will produce structured, evidence-based EEG reports that directly support clinical decision-making.
How you study in practice EEG Interpretation Course
How you practice EEG Interpretation Course
For companies looking to train their teams
With Dedika for businesses, the course includes exercises and examples tailored to your own business and the way your company needs.
Course Content
8 Chapters • 39 LessonsDuration between 4 and 360 hours (you decide)
Chapter 1HideHide detailsSee detailsFoundations of EEG Technology
Foundations of EEG Technology
Lesson 1 • EEG Recording Parameters and Standards
Defines sensitivity, time base, and filter settings used in routine clinical recordings. Standardized parameters ensure comparability across studies and laboratories.
Lesson 2 • Neurophysiology of Brain Electrical Activity
Covers ionic mechanisms of postsynaptic potentials and cortical dipoles as EEG signal sources. Establishes the biological basis needed for all subsequent waveform analysis.
Lesson 3 • Montage Design and Reference Strategies
Distinguishes bipolar, referential, and average-reference montages and their clinical trade-offs. Montage selection directly affects waveform morphology and localization accuracy.
Lesson 4 • The International 10-20 Electrode System
Teaches standardized electrode placement using anatomical landmarks and naming conventions. Accurate placement underpins reliable spatial localization throughout the course.
Lesson 5 • EEG Equipment and Signal Acquisition
Explains amplifiers, filters, analog-to-digital conversion, and recording montage hardware. Connects equipment function to signal fidelity and artifact prevention.
Chapter 2HideHide detailsSee detailsNormal EEG Patterns Across the Lifespan
Normal EEG Patterns Across the Lifespan
Lesson 1 • Activation Procedures and Normal Responses
Covers hyperventilation, photic stimulation, and sleep deprivation effects on normal EEG. Baseline activation responses must be known before interpreting abnormal activation findings.
Lesson 2 • Normal EEG Variants of No Pathological Significance
Identifies benign variants such as SREDA, wicket spikes, and 14-and-6 Hz positive bursts. Recognizing these prevents unnecessary clinical intervention.
Lesson 3 • Adult Waking EEG Rhythms
Describes alpha, beta, theta, and delta frequency bands and their normal topographic distributions. Provides the baseline reference for recognizing abnormality in later chapters.
Lesson 4 • Pediatric EEG Development
Traces EEG maturation from premature neonates through adolescence, highlighting age-specific normal patterns. Age-matched norms prevent misclassification of developmental patterns as pathology.
Lesson 5 • Normal Sleep Architecture in EEG
Maps EEG correlates of NREM stages and REM sleep including vertex waves and sleep spindles. Sleep staging knowledge is essential for interpreting overnight and ambulatory recordings.
Chapter 3HideHide detailsSee detailsEEG Artifacts: Recognition and Management
EEG Artifacts: Recognition and Management
Lesson 1 • Artifact Reduction Techniques
Presents electrode preparation, patient positioning, and digital filtering strategies to minimize artifacts. Proactive reduction improves interpretable signal yield.
Lesson 2 • Technical and Environmental Artifacts
Covers electrode pop, 60 Hz interference, lead movement, and equipment malfunction signatures. Technical artifacts are correctable at the source when identified promptly.
Lesson 3 • Artifact Differentiation from Pathological Patterns
Applies systematic criteria to separate artifacts from epileptiform discharges and encephalopathic patterns. This skill directly reduces false-positive epilepsy diagnoses.
Lesson 4 • Physiological Artifacts from Body Sources
Identifies ECG, eye movement, muscle, and sweat artifacts by morphology and distribution. Physiological artifacts are the most common source of EEG misinterpretation.
Chapter 4HideHide detailsSee detailsEpileptiform Discharges and Seizure Patterns
Epileptiform Discharges and Seizure Patterns
Lesson 1 • Activation-Provoked Epileptiform Activity
Examines how hyperventilation, photic stimulation, and sleep activate epileptiform discharges. Activation findings increase diagnostic yield and refine syndrome classification.
Lesson 2 • Focal Epileptiform Patterns
Covers temporal, frontal, occipital, and parietal interictal discharges with their clinical correlates. Focal localization informs surgical candidacy evaluation and syndrome classification.
Lesson 3 • Morphology of Interictal Epileptiform Discharges
Defines spike, sharp wave, and spike-and-wave complex by duration, amplitude, and field. Precise morphological criteria form the foundation of epileptiform discharge identification.
Lesson 4 • Generalized Epileptiform Patterns
Identifies 3 Hz spike-and-wave, polyspike-wave, and generalized paroxysmal fast activity. Generalized patterns link to specific epilepsy syndromes requiring distinct treatment approaches.
Lesson 5 • Ictal EEG Patterns and Seizure Evolution
Traces electrographic seizure onset, propagation, and termination across seizure types. Understanding ictal evolution is critical for seizure detection in monitoring units.
Chapter 5HideHide detailsSee detailsEEG in Epilepsy Syndrome Classification
EEG in Epilepsy Syndrome Classification
Lesson 1 • Childhood Epilepsy Syndromes
Covers EEG signatures of infantile spasms, childhood absence, and self-limited focal epilepsies. Syndrome recognition in children prevents misdiagnosis and guides age-appropriate therapy.
Lesson 2 • Developmental and Epileptic Encephalopathies
Covers EEG in Lennox-Gastaut, CSWS, and ESES syndromes with their prognostic implications. These severe syndromes require recognition of specific EEG criteria for diagnosis and monitoring.
Lesson 3 • Focal Epilepsy Syndromes in Adults
Examines temporal lobe, frontal lobe, and posterior cortex epilepsy EEG signatures. Focal syndrome identification supports presurgical evaluation and localization hypotheses.
Lesson 4 • Adolescent and Adult Generalized Epilepsies
Identifies EEG features of juvenile absence, juvenile myoclonic, and generalized tonic-clonic epilepsies. Accurate classification prevents inappropriate antiseizure medication selection.
Lesson 5 • EEG in Neonatal Seizures and Syndromes
Identifies neonatal seizure patterns and distinguishes them from normal neonatal EEG features. Neonatal seizures are often subclinical, making EEG the primary diagnostic tool.
Chapter 6HideHide detailsSee detailsEEG in Encephalopathy and Brain Dysfunction
EEG in Encephalopathy and Brain Dysfunction
Lesson 1 • Background Abnormalities and Slowing
Grades diffuse slowing, background disorganization, and amplitude reduction as markers of encephalopathy severity. Background assessment is the first step in any encephalopathy EEG report.
Lesson 2 • Periodic Patterns and the ACNS Terminology
Applies standardized critical care EEG terminology to classify periodic and rhythmic patterns. Uniform terminology enables consistent communication and research across institutions.
Lesson 3 • EEG in Specific Encephalopathic Conditions
Covers EEG findings in hypoxic-ischemic injury, autoimmune encephalitis, and prion disease. Condition-specific patterns guide urgent diagnostic and therapeutic decisions.
Lesson 4 • Triphasic Waves and Metabolic Encephalopathy
Identifies triphasic wave morphology and its association with hepatic, renal, and other metabolic disorders. Distinguishing triphasic waves from ictal patterns prevents unnecessary treatment.
Lesson 5 • Prognostic EEG Markers in Critical Illness
Evaluates EEG features predictive of neurological outcome in comatose and critically ill patients. Prognostic interpretation requires integrating EEG findings with clinical and imaging data.
Chapter 7HideHide detailsSee detailsContinuous EEG Monitoring in Critical Care
Continuous EEG Monitoring in Critical Care
Lesson 1 • Nonconvulsive Seizures and NCSE Detection
Applies diagnostic criteria for nonconvulsive seizures and nonconvulsive status epilepticus. NCSE is a medical emergency detectable only by EEG in many patients.
Lesson 2 • Workflow and Communication in Continuous EEG
Establishes review schedules, alert systems, and reporting workflows for continuous EEG programs. Efficient workflow ensures timely clinical response to critical EEG findings.
Lesson 3 • Quantitative EEG Trend Analysis
Introduces compressed spectral arrays, amplitude trends, and seizure probability displays for rapid review. Quantitative tools allow efficient surveillance of hours of continuous data.
Lesson 4 • Indications and Setup for Continuous EEG
Defines patient populations requiring continuous monitoring and outlines setup protocols. Appropriate patient selection maximizes diagnostic yield and resource utilization.
Lesson 5 • Stroke and Hemorrhage EEG Monitoring
Covers EEG findings in ischemic stroke, subarachnoid hemorrhage, and intracerebral hemorrhage. EEG detects secondary injury and guides neuroprotective interventions in vascular events.
Chapter 8HideHide detailsSee detailsEEG Reporting, Interpretation, and Clinical Integration
EEG Reporting, Interpretation, and Clinical Integration
Lesson 1 • Correlating EEG with Clinical and Imaging Data
Integrates EEG findings with neuroimaging, clinical history, and laboratory results for diagnosis. EEG interpretation without clinical context risks both over- and under-diagnosis.
Lesson 2 • EEG in Medicolegal and Ethical Contexts
Addresses documentation standards, informed consent for EEG, and reporting obligations. Accurate and complete documentation protects patients and clinicians in legal proceedings.
Lesson 3 • Structured EEG Report Writing
Defines required report components including clinical indication, findings, and clinical correlation. Well-structured reports reduce ambiguity and support downstream clinical decision-making.
Lesson 4 • Common Interpretive Errors and Quality Assurance
Analyzes frequent misinterpretations including artifact overcalling and missed subtle seizures. Quality assurance processes reduce error rates and improve diagnostic consistency.
Lesson 5 • Systematic Approach to EEG Interpretation
Presents a stepwise review protocol covering background, sleep, activations, and abnormalities. A systematic approach prevents omissions and ensures reproducible interpretation quality.
Your valid completion certificate
This course is for you:
Neurology residents: building foundational EEG reading skills for clinical rotations.
EEG technologists: seeking deeper interpretive knowledge beyond technical recording duties.
Neurophysiology fellows: preparing for board certification and independent interpretation practice.
Intensivists: managing ICU patients who need continuous EEG monitoring oversight.
Pediatric neurologists: expanding competency in age-specific EEG pattern recognition.
Epilepsy nurse practitioners: strengthening EEG literacy to support diagnostic conversations.
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