Brain Injury

Stroke

Neuroplasticity (includes neuroscience)

Symposium

(624145) Computational techniques for improving neurological conditions: neuroimaging and genetic biomarker evidence

Presenter(s)

• 

  Maheen Adamson, PhD

  Senior Scientific Research Director/Clinical Associate Professor
  DVBIC, VA Palo Alto/Neurosurgery, Stanford School of Medicine
  Palo Alto, California
• 

  Amy Herrold, PhD

  Research Health Scientist
  Edward Hines Jr., VA Hospital
  Hines, Illinois
• 

  Lynne Gauthier, PhD

  Associate Professor
  University of Massachusetts Lowell
  Burlington, Massachusetts

Neurologic conditions including stroke and TBI have unique challenges including diagnosis, prognosis, and recovery. Advances in the fields of computational techniques, neuroimaging and genetics have been applied in order to address these challenges and advance our understanding of neurorehabilitation for these neurologic conditions. The long-term goal in this field is to create objective, clinically relevant biomarkers that integrate multi-modal data.

Learning Objectives:

• Explain how multiparadigm computational techniques served enable exploring how structural connectivity relates to spontaneous motor behavior, motor function, and recovery of function.
• Understand how candidate gene approach can be used to identify concussion history predictors and identification of a novel genotype predictive of concussion raises hypotheses to be tested for clinical implications.
• Understand how virtual reality tasks can be used to evaluate mild TBI
• Understand the relationships various types of neuroimaging and proteomic changes with rTMS and the different characteristics in this response based on gender.
• Understand how relevant candidate genotyping information can be integrated with cerebral blood flow neuroimaging data and what this means in terms of mild TBI clinical relevance