28.3885, FYI: Online Lecture: ''Diffusion MRI in Aphasia'', 09/28

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LINGUIST List: Vol-28-3885. Thu Sep 21 2017. ISSN: 1069 - 4875.

Subject: 28.3885, FYI: Online Lecture: ''Diffusion MRI in Aphasia'', 09/28

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Date: Thu, 21 Sep 2017 14:16:48
From: Dirk Den Ouden [denouden at sc.edu]
Subject: Online Lecture: ''Diffusion MRI in Aphasia'', 09/28

 
Thursday, September 28th, 2pm EDT
https://global.gotomeeting.com/join/667426173

“Advanced diffusion MRI methods for studying white matter integrity in
Aphasia”
Emilie McKinnon, MSc
Medical University of South Carolina

Cerebral ischemia can result in significant gray and white matter injury, with
previous studies showing that white matter, after adjusting for metabolic
demands, is even more vulnerable to ischemia than gray matter.
Notwithstanding, many studies focus on cortical damage and lesion overlap as
an indicator for clinical representation and recovery potential.
Unfortunately, in some cases this approach has turned out to be incomplete and
several studies have shown that mapping the extent of white matter damage,
using connectivity studies, could potentially complete this picture. Although
many of these studies solely focus on the number of tracts present, it is
plausible that not only the presence of streamlines, but also the integrity
along the streamlines plays an important role and could reveal important
information. In this talk, I will discuss the importance of microstructure of
the residual language network using Diffusional Kurtosis Imaging (DKI). DKI is
an extension of the conventional diffusion tensor imaging (DTI), but estimates
the kurtosis (non-Gaussianity) of the diffusion process. Water in the brain
follows a restricted non-Gaussian diffusion pattern due to the different
biological structures. This non-Gaussian pattern cannot be measured using
diffusion tensor imaging, but can be directly assessed with DKI. We will
briefly cover the basics of DKI, improved kurtosis based white matter fiber
tracking and the white matter tract integrity model. The latter is a
biophysical model that has been developed to interpret DKI metrics, providing
biologically relevant descriptors of the microstructural environment. The
remainder of the time, I will present some exciting recently published data
using these techniques, that demonstrated an association between therapy-
related reduction in semantic speech production errors and an increase in mean
kurtosis in the left Inferior Longitudinal Fasciculus (ILF). ILF
microstructure was not related to changes in phonemic production errors. These
results are directly in line with the dual stream model suggesting that with
therapy the ILF becomes increasingly complex as fewer semantic errors are
being made. 

Location: University of South Carolina, Discovery I, Room #140, 915 Greene
Street, Columbia, SC 29208
Date: Thursday, September 28, 2017. Time: 2pm – 3pm EDT
This event will be catered!

The lecture can also be followed online from your computer, tablet or
smartphone, via the following GoToMeeting address (no password required):
https://global.gotomeeting.com/join/667426173

You can also dial in using your phone. 
United States : +1 (872) 240-3412
Access Code: 667-426-173
First GoToMeeting? Try a test session: http://help.citrix.com/getready

C-STAR Lecture Series:

The Center for the Study of Aphasia Recovery (C-STAR;
http://cstar.sc.edu/lecture-series/) houses researchers who examine the
effects of behavioral treatment, brain stimulation, and residual brain
function (brain plasticity) on recovery from aphasia. C-STAR is a
collaboration between researchers from the University of South Carolina, the
Medical University of South Carolina, Johns Hopkins University, and the
University of California, Irvine. The Center is funded through the National
Institute of Deafness and Communication Disorders (NIDCD) grant #NIH P50
DC014664. Biweekly public lectures, given by members and guests of C-STAR, are
accessible live and online. Recordings of the lectures can be viewed via
C-STAR YouTube channel:
https://www.youtube.com/channel/UC8p0CuG4He9nqCR4nnzhZ7w
 



Linguistic Field(s): Neurolinguistics
                     Phonology
                     Semantics





 



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