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Neuroplasticity Networking group Webinar Series header

Neuroplasticity Webinar Series

 

Produced by the ACRM Neuroplasticity Networking Group (NNG), this webinar series is focused on methods for measuring neuroplasticity. Help yourself to the following archive of past webinars and watch the NNG webpage for upcoming speakers and topics.

If you have a method you would like to share in a future webinar, please contact Lynne Gauthier

UPCOMING WEBINAR

WATCH FOR DETAILS COMING SOON!

 

 

CALL-IN DETAILS

When it’s time, CLICK HERE to join this webinar from your computer or tablet.

You can also dial in using your phone: 
United States: +1.872.240.3311
Access Code: 518-906-245

First webinar? CLICK HERE for a quick system check

PAST WEBINARS

 

Targeted Neuroplasticity Training; An Innovative Approach to Accelerating Recovery From Brain Trauma >>

With special guest speaker, John Kennedy
Combat Brain Training

John Kennedy will provide an overview of an innovative DOD-approved approach to brain trauma recovery.  The basis for Targeted Neuroplasticity Training, the underlying methodology, and the results of this approach will be discussed.

 

Vascular Health After Mild Traumatic Brain Injury >>

With special guest speaker, Yufen (Jennie) Chen, PhD
Northwestern University, Department of Radiology

The cerebro-vasculature is crucial in maintaining brain tissue health during rest as well as supporting the increased demands for oxygen during functional activations. In this talk I’ll briefly introduce noninvasive MR techniques to measure resting cerebral blood flow and cerebral vascular reactivity to hypercapnia. Then I’ll review how these techniques have been applied to study mild traumatic brain injury, as well as present results from a pilot post-injury study on female club athletes.

How to Analyze Large Neuroimaging Datasets Using Advanced Data Analytics >>

With special guest speaker, Mohammed (Mehran) Rafiei

Studying the brain poses a “big data” challenge because there are many regions of interest and sample sizes are typically relatively small. Using conventional analysis approaches, investigators are forced to either choose between limiting their analyses to one or two specific regions of interest or sacrificing statistical power.  This webinar will focus on methods of analyzing very large datasets of brain-based data using data analytic approaches.