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Diagnosing Alzheimer's Disease Early:
Your Eye Movements are the Future of Clinical Research
Michael J. Kleiman

PROGRAM DESCRIPTION: Less than half a decade ago, diagnosing cognitive disorders such as attention deficit (ADHD), autism, or even just concussions involved complex examinations with varying degrees of accuracy. Modern medicine is beginning to embrace the use of simple eye movements for assisting in the diagnosis of these and many other types of maladies. Affecting an estimated 5.4 million Americans with the number growing every year, Alzheimer’s disease is one of the disorders of focus in this field of study. While there are few clinically-supported preventative measures and no cure once the disease develops, future treatments and therapies may slow its progression and add years of quality life to those afflicted. Unfortunately, these treatments are not currently being funded by drug research companies, as Alzheimer’s disease is difficult to diagnose before irreversible damage to the brain has already occurred. However, the new development of Eye Movement Diagnostics provides us hope that early detection of the disease is right around the corner. Here at FAU, our Visual Mind Lab is pioneering this method of early detection using eye movements, but only with your help as participants! This lecture will outline the short history of eye movement diagnostics, the incredible methods behind them, and how our research at FAU is contributing to the early detection of Alzheimer’s disease.

BIOGRAPHICAL INFORMATION: Michael J. Kleiman is a graduate student attending Florida Atlantic University, pursuing a doctorate in Experimental Psychology. He works closely with Dr. Elan Barenholtz and Dr. William Hahn pairing high precision eye movement tracking with the latest developments in machine learning and deep neural networks to predict presence and progression of attention and functioning disorders among clinical populations. Michael belongs to the Visual Mind Laboratory where he examines eye fixation behavior, as well as the Machine Perception and Cognitive Robotics Laboratory where he works on utilizing machine learning to predict and discriminate classifications based on eye movement data. He has a dual Bachelor’s Degree in Biological Science and Psychology from Florida State University, as well as a Master’s Degree in Psychology from Florida Atlantic University.

SPL2084
Time: 4:00 pm - 5:30 pm
Date: Thursday, February 8, 2018
Location: Continuing Education Building, 31-D
Fees: Member - $30 per event
$75 for any combination of three events, members only
$150 for any combination of eight events, members only

No Refunds Will be Given for One-Time Events Purchased Within a Discounted Bundle
Non-member - $35
Cash will no longer be accepted as payment for lectures.

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