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Standardpreis:
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WEB-191125-EN
ONLINE
English
Beginn: Mi., 19.11.2025, 19:00
Ende: Mi., 19.11.2025, 20:00
Punkte: 1
Anmelde​schluss: Mi., 19.11.2025, 18:30
Level: flexibel
Freie Plätze: 29 von 30

Master Clinical Assessment & Protocol Selection in Neurofeedback

The Challenge Every Neurofeedback Practitioner Faces

Free 45-Minute (+ Q&A) Educational Webinar with IFEN

How much time do you spend on initial assessments? 60 minutes? 90 minutes? More? Between comprehensive questionnaires, symptom analysis, and protocol selection, the assessment process can be exhausting—for both you and your clients..

And the challenges don't stop there:

  • Overlapping symptoms make prioritization difficult
  • Protocol selection requires years of experience to master
  • Learning the symptom-to-EEG correlation takes time
  • Staying current with research is nearly impossible

What if there was a better way? 
Join Us for an In-Depth Exploration of IFEN Mindlens

In this comprehensive 45-minute webinar, we'll demonstrate how AI-enhanced clinical assessment can transform your neurofeedback practice—whether you're an experienced practitioner or just beginning your journey.


What is IFEN Mindlens?

IFEN Mindlens is an AI-enhanced clinical decision support tool specifically designed for neurofeedback practitioners. It's built on three scientific pillars:

  • 6 Functional Domains – Organizes 60 core clinical questions into Attention & Executive Function, Mood & Emotional Regulation, Cognitive Inflexibility, Social Function, Impulsivity & Arousal, and Language & Sensory Processing
  • Evidence-Based Question Selection – Distills decades of clinical research into the essential questions neurofeedback practitioners need answered
  • Multi-Modal Recommendations – Provides MINI-Q montages, classical protocols, Z-score training guidance, LORETA ROI recommendations, and evidence-based therapeutic approaches with neurophysiological rationale

Complete assessment in 10-15 minutes. Generate comprehensive reports in 30 seconds.


What You'll Learn in This Webinar:

For All Practitioners:

  • How to reduce assessment time from 90 minutes to 15 minutes without sacrificing quality
  • The science behind functional domain organization (Domains A-F)
  • How AI interprets symptom patterns to suggest targeted protocols
  • Multi-modal recommendation layers: MINI-Q, Classical, Z-Score, and LORETA ROI
  • How to generate professional, comprehensive reports instantly

For Experienced Practitioners:

  • Use Mindlens as a clinical "second opinion" for complex cases
  • Validate your treatment hypotheses with evidence-based recommendations
  • Scale your practice without compromising clinical standards
  • Document treatment rationale for insurance and referrals

For Learners & Students:

  • Accelerate your learning curve with symptom-to-protocol mapping
  • Understand neurophysiological rationale for each recommendation
  • Learn to predict QEEG patterns from clinical presentation
  • Bridge the gap between assessment and treatment planning
  • Access evidence-based protocols before you have QEEG capability

Live Demonstration Included: Watch a complete workflow from initial assessment through report generation, including how to interpret results and integrate recommendations into your practice.


Why IFEN Mindlens?

  • Scientifically Founded – Built on peer-reviewed neurofeedback research and clinical best practices
  • Regulatory Compliant – CE marked as Class I Medical Device under MDR for education, information, and research
  • Multi-Language Support – Available in English, German, Romanian, Italian, and Spanish
  • Learning Tool – Every report includes educational rationale and research citations
  • Practice Integration – Works with or without QEEG, integrates with your existing workflow
  • Professional Standards – GDPR compliant, encrypted, secure client data management

Reserve Your Spot Now! Space is limited to ensure interactive participation and quality Q&A time.

 

 

  Referent/in

zur Buchung : WEBINAR - Master Clinical Assessment & Protocol Selection in Neurofeedback

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