Neurofeedback Theory and Clinical Practice.ppt
Disclaimer: The content below was generated with the assistance of AI and then reviewed and edited by BrainMaster Technologies, Inc. It is provided for educational and informational purposes only and does not constitute medical advice.
Summary #
The presentation provides an overview of the scientific foundations of neurofeedback, illustrating the evolution of EEG, its cortical origins, and the application of modern quantitative EEG (qEEG) and Z-score–based training in clinical practice.
History of Human EEG #
Early work by Hans Berger in the 1920s–1930s established the first human EEG recordings, laying the groundwork for contemporary neurophysiological assessment.
Cortical EEG Sources and Brain Dynamics #
Cortical vs. Scalp-Level Activity #
The slides highlight distinctions between cortical and scalp-recorded EEG, demonstrating how spatial resolution (e.g., 1 cm invasive spacing) enhances the clarity of neural signals.
Neurophysiological Models #
Content includes:
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Thalamo-cortical cycles
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The alternation of concentration and relaxation states
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Neural network engineering diagrams demonstrating functional integration
Foundations of Z-Score Neurofeedback #
Z-score training uses normative databases to guide neurofeedback toward statistically typical EEG patterns. The presentation illustrates real-world examples of live Z-score progress maps and pre/post qEEG shifts.
Clinical Examples and Case Data #
Quantitative EEG (qEEG) Pre/Post Comparisons #
Multiple case demonstrations include:
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Pre/post Z-score maps
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Eyes-closed qEEG changes
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sLORETA-based source analysis
Illustrative Case Summary #
One detailed case (“BF”) documents baseline challenges (communication delays, social difficulties, behavioral dysregulation, sleep disruptions) followed by observed post-training changes such as:
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Increased spontaneous communication
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Greater social engagement
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Improved behavioral self-regulation
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More consistent sleep patterns
These observations reflect caregiver and clinician reports from this specific case example and do not constitute generalizable outcomes.
Key Insights #
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EEG provides a measurable window into cortical function.
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Neurofeedback and Z-score training are positioned as tools to help guide brain activity toward more regulated patterns.
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qEEG and sLORETA visualizations support assessment, training planning, and documentation of client progress.
