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We're sorry. This study is closed and no longer recruiting participants.

STUDY BASICS

Are you between 50-85 years of age and willing to undergo 1-2 MRI scans? Are you right-handed? If so, you may be eligible to participate in a research study to help find out if a non-invasive imaging method can detect changes in brain connections over time.


STUDY PURPOSE
Neuroplasticity is the brain’s ability to form new connections throughout life. Assessing neuroplasticity over time is especially important in people who have experienced a brain injury, but currently available imaging methods are not able to accurately measure these types of brain changes. The purpose of this study is help researchers find out if a non-invasive, MRI-based imaging method called high definition fiber tracking (HDFT) can detect changes in brain connections. Researchers hope their findings will lead to more reliable assessments of brain changes in people with brain injuries in the future.
COULD THIS STUDY BE RIGHT FOR YOU?
  • Ages 50-85
  • Right-handed
  • Able and willing to undergo MRI scanning (no non-removable metal in the body, weigh less than 300 pounds, are not claustrophobic)
  • Not pregnant or breastfeeding

WHAT PARTICIPANTS CAN EXPECT
Participation involves 1-2 visits to undergo MRI scanning. Sessions will take about 1 hour to complete. MRI scans are not invasive and do not use radiation.
IRB: STUDY19020345
- In-vivo Mapping of Neuroplasticity using High Definition Fiber Tracking

RESEARCH AREAS:
  Healthy Aging, Healthy Volunteer

PHONE NUMBER: 1-866-438-8230
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INTERESTED?

Visit https://pittplusme.org/study/1411 and click on "I'm Interested" or call 1-866-438-8230.


LEARN MORE

PittPlusMe.org
1-866-438-8230
PittPlusMe@pitt.edu
@PittPlusMe
@PittPlusMe

MEET THE RESEARCHER


Fang-Cheng Yeh

Fang-Cheng Yeh, MD, PhD, is an Assistant Professor in the Department of Neurological Surgery at the University of Pittsburgh. A graduate of National Taiwan University and Carnegie Mellon University, Dr. Yeh’s research interests include novel applications of computational methods to brain connectome research.