Integral Eye Movement Therapy (IEMT) is a developing area rapid change work that explores the area of undesired emotions and our ways of being. The process explores the question, "How did we learn to feel the way that we do?" and opens up the possibility of creating the appropriate change in our emotional lives.
By teaching resources and skills inside the problem state, IEMT appears to bring the client more into the present moment and enables them to better stay out of past negative experiences.
Practitioners consistently report that IEMT has created change in their clients where no other approach has worked previously.
This extraordinary training course is divided into two halves. On day one participants discover how to use the eye movements in conjunction with the IEMT algorithms to address emotional imprints, and on day two, we explore issues relating to identity and ways of being.
Integral Eye Movement Therapy was developed by Andrew T. Austin based on the original work by Connirae and Steve Andreas and has been taught internationally in the USA, Israel, England, Sweden, Netherlands, Poland and India. The advanced IEMT training has adopted some of the key areas of research by Dutch social psychologist, Lucas Derks and psychotherapist, David Grove.
For the practitioner, IEMT is about precise calibration to the client. Unlike other treatments involving eye movements, with IEMT the eye movements are neither random nor simply a repetitive left and right movement in the hope that change will occur. The training provides the tools for the practitioner to precisely calibrate which axis through which to move the eyes enabling the exploration work to occur with precision and at a remarkable speed.
IEMT is not the grand unified theory of therapy and change work and is still a developing model, but has proven to be a very useful adjunctive for the trained therapists and when used in the right hands can provide an excellent remedial tool for emotional change and a generative tool for identity change. Practitioners are reporting that IEMT enables excellent results where previously a good outcome might have appeared improbable.