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Graded Motor Imagery Online

With Tim Beames

November 27, 2024 @ 8:30 am - November 29, 2024 @ 1:30 pm (3 sessions)

Course Host: Joanna Taylor

infouk@noigroup.com

Online Course Online Course

To express your interest in attending this course, hit the contact button below to receive further course details from your course host, including how to pay and register your place. Please note that an enquiry does not confirm your place on the course.

Times

3 Session/s

Session 1: Wednesday 27 November 2024, 08.30 - 13.30 (GMT)

Session 2: Thursday 28 November 2024, 08.30 - 13.30 (GMT)

Session 3: Friday 29 November 2024, 08.30 - 13.30 (GMT)

£365

Buy Tickets Here

 

 

Description

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

Graded Motor Imagery course trailer

This course is open health professionals involved in pain and stress management.

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.

Prerequisites

Pre-reading:
The Graded Motor Imagery Handbook eBook | Print Book
Information and resources provided at gradedmotorimagery.com

Hardware requirement:
Bring an iPhone, iPad or Android device to the course with one or more of the Recognise Apps downloaded onto it.

 

Objectives

At the end of the course, participants will:

  1. Understand the process of GMI and where it fits into an overall treatment programme
  2. be able to identify appropriate patients for GMI from both clinical presentations and research outcomes
  3. have knowledge of the scientific underpinnings of GMI
  4. have practical skills in using the three components of GMI
  5. be able to confidently translate learnt GMI skills to effective treatment applications
Terms and Conditions

If you book a course through NOI, attendees can receive a full refund up to 30 days before the event start date, less the Eventbrite booking fee. Within 30 days, no refund.

In the event of NOI having to cancel the course due to unforeseen circumstances notification will be sent as soon as possible via your contact details provided and registrants will receive a full refund of the course fee.

Course places are secured once payment has been successfully processed.

If you book via a course hosting partner please check their terms and conditions.

Course Enquiry

Graded Motor Imagery Online on November 27, 2024 @ 8:30 am - November 29, 2024 @ 1:30 pm

Contact Course Host

Instructors

Principal NOI Instructor, UK

Language: English, Region: United Kingdom

Courses: Explain Pain, Explain Pain Online School, Mobilisation of the Neuroimmune System, Graded Motor Imagery, Graded Motor Imagery Online Europe

Tim Beames

Tim Beames is a pain specialist physiotherapist and pain educator living in Tunbridge Wells, UK. He has been teaching with Noigroup since 2006, during which time he co-authored The Graded Motor Imagery Handbook alongside David Butler and Lorimer Moseley. Tim splits his time between his clinical role of treating people experiencing persistent pain and helping to offer hope for recovery, teaching and mentoring healthcare professionals interested in growing as clinicians, and organising and running pain-related events.

Tim can be fund at his website timbeames.com, or though any of his co-founded platforms, all of which were created to generously nurture the collective advancement of knowledge within the field:

 

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