This year, a number of Saybrook University faculty, students, and alumni participated in the National Wellness conference, presenting on everything from coaching to the multicultural approaches to wellness.
The National Wellness Conference is a major event annually in the worlds of health promotion, health coaching, nurse coaching, and wellness education. This year's conference took place in Minneapolis, from June 23 to 26, 2014. The conference theme was Reshaping the Wellness Landscape: The Next Five Years. Keynote presentations were made by several major figures in the wellness world, including Mary Jo Kreitzer. the founder and director of the University of Minnesota's Center for Spirituality and Healing, Michael Arloski, a leader in the world of wellness coaching, and David L. Katz, the founder and director of Yale University's Prevention Research Center.
Join us for a Webinar on August 27.
Dr. Deborah Wilcox holds a master's degree in public administration, a master's in clinical community counseling, and a doctorate in counseling education. She has previously served as an instructor at Kent State University, the University of Dayton, Union Institute, and the University of Cincinnati, providing instruction in multi-cultural counseling, adolescent development, public health administration, and grant writing. She is now on the faculty at Saybrook University's School of Mind-Body Medicine.
Biofeedback – When a behavioral problem such as attention-deficit hyperactivity disorder (ADHD) is diagnosed, selecting medication to best treat it can become a matter of trial and error. Analyzing brain patterns by using electroencephalography (EEG) can help predict which medicine will offer the best result and thus lower the risk of adverse drug events. Recognizing brain patterns can be a better guide to medication use than psychiatric diagnosis based on the DSM-V.
The article “Medication Prediction with Electroencephalography Phenotypes and Biomarkers” in the current issue of the journal Biofeedback offers evidence that quantitative EEG assessment can refine the selection of medications by detecting brain patterns. Author Jay Gunkelman uses the example of a 7-year-old child diagnosed with ADHD.