Online – Motor Graded Imagery (Neuro Orthopaedic Institute)
Start: 20th May 2021 @ 08:30am
End: 28th May 2021 @ 13:30pm
AECC University College - Via Zoom
The Graded Motor Imagery Handbook eBook | Print Book
Information and resources provided at gradedmotorimagery.com
Bring an iPhone, iPad or Android device to the course with one or more of the Recognise Apps downloaded onto it.
Graded Motor Imagery (GMI) is an evidence based, graded, brain training programme which accesses the virtual body in the brain. It is useful for a wide range of chronic pain states where the central nervous system may be up-regulated, including osteoarthritis, Complex Regional Pain Syndrome, phantom pains and ‘non-specific’ spinal pains. It gives new hope to many people in pain.
GMI involves the use of Apps, Flashcards, motor imagery, mirrors and Explain Pain education. In this course, participants are given the confidence and skills to use GMI immediately and to effectively integrate it into their current practice.
The course is structured around practical sessions supported by discussion of clinical applications.
Graded Motor Imagery Online – live and interactive
- The course will be live and delivered via Zoom
- Class sizes are kept small to maximise interaction and time for questions
- NOI’s usual high quality
- Comprehensive teaching materials will be provided
At the end of the course, participants will:
- Understand the process of GMI and where it fits into an overall treatment programme
- be able to identify appropriate patients for GMI from both clinical presentations and research outcomes
- have knowledge of the scientific underpinnings of GMI
- have practical skills in using the three components of GMI
- be able to confidently translate learnt GMI skills to effective treatment applications
The Graded Motor Imagery course is delivered over 3 online sessions:
Please be available to register at 08.00 on Thursday 20th May
Session 1: Thursday 20 May, 08:30 am – 13:30pm (BST)
Session 2: Friday 21 May 08:30 am – 13:30pm (BST)
Session 3: Friday 28 May 08:30 am – 13:30pm (BST)
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