
Neurofeedback Course
Master the full scope of clinical neurofeedback practice, from reading brainwave data to designing individualised training protocols. This course equips mental health professionals, clinicians, and practitioners with the scientific knowledge and hands-on skills needed to deliver evidence-based neurofeedback. Build the competence and confidence to work with diverse populations, including ADHD, anxiety, trauma, and peak performance clients.
What you will learn:
You will gain a thorough understanding of EEG neurophysiology, signal processing, and quantitative brain mapping, along with the clinical skills to assess clients, design protocols, and monitor outcomes. The course covers core neurofeedback protocols for ADHD, anxiety, trauma, depression, and cognitive enhancement, as well as ethical standards and scope-of-practice guidelines. You will also explore how to integrate neurofeedback with psychotherapy, medication management, and biofeedback. Emerging technologies, including wearable EEG devices, AI-driven systems, and remote delivery models, are examined critically. Business development and practice management strategies are included to help you build a sustainable neurofeedback service.
How you study in a practical way Neurofeedback Course
How you practise Neurofeedback 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 • 40 LessonsDuration between 4 and 360 hours (you decide)
Chapter 1HideHide detailsSee detailsFoundations of Neurofeedback Science
Foundations of Neurofeedback Science
Lesson 1 • Introduction to Brainwave Activity
Defines delta, theta, alpha, beta, and gamma frequency bands and their functional correlates. Links band activity to arousal, cognition, and emotional states.
Lesson 2 • History and Development of Neurofeedback
Traces key discoveries from early EEG research to modern clinical applications. Contextualizes current practice within decades of empirical development.
Lesson 3 • Principles of Biofeedback and Self-Regulation
Explains operant conditioning and real-time feedback loops that drive physiological self-regulation. Positions neurofeedback as a specialised biofeedback modality.
Lesson 4 • Evidence Base and Research Literacy
Introduces levels of evidence, study designs, and how to evaluate neurofeedback research critically. Equips practitioners to appraise clinical claims responsibly.
Lesson 5 • Brain Anatomy and Neural Communication
Covers cortical regions, lobes, and synaptic signalling relevant to EEG activity. Provides anatomical context for interpreting brainwave patterns in later chapters.
Chapter 2HideHide detailsSee detailsEEG Acquisition and Signal Processing
EEG Acquisition and Signal Processing
Lesson 1 • Artifact Identification and Rejection
Teaches recognition of muscle, eye movement, cardiac, and environmental artifacts in raw EEG. Artifact management is prerequisite to valid signal interpretation.
Lesson 2 • Skin Preparation and Impedance Management
Details scalp preparation techniques and impedance measurement to ensure signal quality. Poor impedance is the leading cause of artifact contamination.
Lesson 3 • Software Platforms and Data Display
Surveys common neurofeedback software interfaces, montage setup, and real-time display options. Hands-on familiarity with software accelerates clinical workflow.
Lesson 4 • EEG Hardware and Electrode Systems
Covers amplifier types, electrode materials, and the international 10-20 placement system. Establishes hardware knowledge required for accurate signal acquisition.
Lesson 5 • Filters and Signal Processing Fundamentals
Explains high-pass, low-pass, and notch filters and their effect on EEG frequency content. Correct filtering preserves clinically relevant signal components.
Chapter 3HideHide detailsSee detailsQuantitative EEG Assessment and Mapping
Quantitative EEG Assessment and Mapping
Lesson 1 • Normative Databases and Z-Scores
Explains how normative databases are constructed and how Z-scores quantify deviation from population norms. Z-score interpretation guides training target selection.
Lesson 2 • Topographic Brain Mapping
Covers color-coded scalp maps of absolute power, relative power, coherence, and asymmetry. Maps translate numerical data into spatially intuitive clinical images.
Lesson 3 • QEEG Recording Protocols
Defines eyes-open, eyes-closed, and task-condition recording standards for QEEG. Consistent protocols ensure valid normative database comparisons.
Lesson 4 • Integrating QEEG with Clinical Presentation
Teaches correlation of QEEG findings with symptom profiles, history, and behavioral observations. Integration prevents over-reliance on data without clinical context.
Lesson 5 • Connectivity and Coherence Analysis
Introduces EEG coherence, phase synchrony, and functional connectivity as markers of network efficiency. Connectivity metrics expand beyond single-site amplitude analysis.
Chapter 4HideHide detailsSee detailsClinical Assessment and Case Conceptualization
Clinical Assessment and Case Conceptualization
Lesson 1 • Intake Interview and History Taking
Structures a thorough clinical interview covering developmental, medical, psychiatric, and social history. Comprehensive history prevents misattribution of EEG findings.
Lesson 2 • Standardised Symptom Measures
Introduces validated rating scales for attention, mood, anxiety, sleep, and cognitive function. Standardised measures provide objective baselines for outcome tracking.
Lesson 3 • Differential Diagnosis Considerations
Explores how overlapping symptom presentations require ruling out alternative explanations before training. Differential thinking prevents inappropriate neurofeedback application.
Lesson 4 • Contraindications and Risk Screening
Identifies medical, neurological, and psychiatric contraindications requiring referral or caution. Risk screening protects client safety and practitioner liability.
Lesson 5 • Building the Case Conceptualization
Synthesizes intake data, QEEG findings, and symptom measures into a coherent treatment rationale. A clear conceptualization aligns protocol selection with client goals.
Chapter 5HideHide detailsSee detailsNeurofeedback Protocols and Training Design
Neurofeedback Protocols and Training Design
Lesson 1 • Session Structure and Dosage
Defines session length, inter-session intervals, and total training dose recommendations. Dosage decisions balance clinical outcomes with client scheduling constraints.
Lesson 2 • Protocol Sequencing and Progression
Teaches how to advance, modify, or switch protocols based on client response data. Systematic progression prevents plateau and adapts to neuroplastic changes.
Lesson 3 • Core Protocol Categories
Surveys amplitude, Z-score, slow cortical potential, and infra-low frequency protocol families. Understanding protocol categories enables informed selection for each client.
Lesson 4 • Threshold Setting and Reward Delivery
Covers dynamic threshold adjustment, reward percentage targets, and feedback modality options. Optimal thresholds maintain challenge without frustration or boredom.
Lesson 5 • Site and Frequency Selection
Explains how QEEG findings and symptom targets guide electrode site and frequency band choices. Precise selection maximises training specificity and minimises adverse effects.
Chapter 6HideHide detailsSee detailsConducting Neurofeedback Sessions
Conducting Neurofeedback Sessions
Lesson 1 • Session Closure and Documentation
Defines post-session debriefing, adverse effect screening, and clinical note requirements. Thorough documentation supports continuity of care and regulatory compliance.
Lesson 2 • Working with Adult and Older Adult Clients
Addresses motivation, cognitive expectations, and physiological differences in adult and aging populations. Tailored approaches improve adherence and outcome in these groups.
Lesson 3 • Working with Pediatric Clients
Adapts session structure, feedback games, and communication style for children and adolescents. Developmental considerations directly affect engagement and training efficacy.
Lesson 4 • Pre-Session Preparation and Setup
Covers equipment checks, electrode placement verification, and client briefing before each session. Consistent preparation reduces technical errors and client anxiety.
Lesson 5 • In-Session Monitoring and Adjustment
Teaches real-time observation of signal quality, client state, and performance metrics during training. Active monitoring enables timely threshold and protocol adjustments.
Chapter 7HideHide detailsSee detailsOutcome Monitoring and Protocol Adjustment
Outcome Monitoring and Protocol Adjustment
Lesson 1 • Progress Tracking Systems
Establishes session-by-session data collection using performance metrics, symptom ratings, and EEG trends. Systematic tracking reveals meaningful change versus random fluctuation.
Lesson 2 • Discharge Planning and Maintenance
Defines criteria for training completion, relapse prevention strategies, and long-term maintenance scheduling. Structured discharge supports durable outcomes beyond the training period.
Lesson 3 • Mid-Course QEEG Reassessment
Explains when and how to repeat QEEG to verify neurophysiological change and update targets. Reassessment data objectively validates or redirects the training plan.
Lesson 4 • Interpreting Response Patterns
Distinguishes positive response, non-response, and adverse response patterns from training data. Accurate interpretation prevents continuation of ineffective or harmful protocols.
Lesson 5 • Managing Adverse Effects
Covers common adverse effects such as fatigue, irritability, and sleep disruption and their management. Prompt adverse effect management maintains client trust and safety.
Chapter 8HideHide detailsSee detailsEthics, Scope of Practice, and Professional Standards
Ethics, Scope of Practice, and Professional Standards
Lesson 1 • Confidentiality and Data Privacy
Addresses EEG data storage, sharing, and privacy obligations under applicable health data standards. Practitioners must safeguard neurological data as sensitive health information.
Lesson 2 • Dual Relationships and Boundary Management
Examines risks of dual relationships, financial conflicts, and boundary violations in neurofeedback settings. Proactive boundary management preserves therapeutic integrity.
Lesson 3 • Informed Consent and Transparency
Covers elements of valid informed consent including risks, benefits, alternatives, and client autonomy. Robust consent processes are both ethical obligations and legal protections.
Lesson 4 • Scope of Practice Boundaries
Defines what neurofeedback practitioners may and may not do based on credential level and training. Clear scope boundaries prevent unauthorised practice and protect clients.
Lesson 5 • Professional Development and Certification
Outlines pathways to professional certification, continuing education requirements, and peer supervision. Ongoing development sustains competence as the field evolves.
Your valid completion certificate
This course is for you:
Licensed therapist: seeking a brain-based method to deepen clinical treatment outcomes.
Psychiatrist or physician: wanting to offer non-pharmacological options for neurological conditions.
Occupational therapist: looking to address attention and regulation deficits more precisely.
Sports psychologist: aiming to apply brainwave training for competitive performance gains.
Career changer from neuroscience research: transitioning into direct clinical or coaching practice.
Wellness practitioner: ready to move into evidence-informed, technology-assisted client care.
What our students say
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