34.952, FYI: C-STAR Lecture 3/24, Heather Dial: speech perception and comprehension in aphasia

[The LINGUIST List]

LINGUIST List: Vol-34-952. Sat Mar 18 2023. ISSN: 1069 - 4875.

Subject: 34.952, FYI: C-STAR Lecture 3/24, Heather Dial: speech perception and comprehension in aphasia

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Date: 
From: Dirk Den Ouden [denouden at sc.edu]
Subject: C-STAR Lecture 3/24, Heather Dial: speech perception and comprehension in aphasia


Friday March 24th, 12pm (noon) ET
Presentation in Zoom, accessible via the C-STAR website:
http://cstar.sc.edu/lecture-series/


Assessment of speech perception and language comprehension in aphasia
using temporal response function modeling

Heather Dial, Ph.D.
University of Houston

In aphasia, deficits in auditory comprehension are prevalent. Recent
computational advances allow for objective examination of neural
correlates of auditory comprehension across levels of processing using
a single, ecologically valid task wherein individuals listen to
continuous speech while electroencephalography (EEG) responses are
collected. This approach, multivariate temporal response function
(TRF) modeling, involves fitting a linear function to map multivariate
features of the continuous speech stimulus (e.g., spectrogram, lexical
frequency) onto the EEG data. The resulting TRF is used to derive a
predicted EEG, and prediction accuracy is assessed by computing the
correlation between the TRF-predicted EEG and the observed EEG,
providing a measure of the fidelity of neural processing of that
feature. In this talk, I will discuss how we have been using TRF
modeling in primary progressive and stroke-induced aphasia to assess
speech perception and language comprehension.


_______________________________________________

The online lecture can be followed online from your computer, tablet
or smartphone, in Zoom. The zoom link is accessible via the C-STAR
website: http://cstar.sc.edu/lecture-series/

For more information, or to be added to the C-STAR mailing list,
contact Dirk den Ouden: denouden at sc.edu

Linguistic Field(s): Applied Linguistics
                     Clinical Linguistics
                     Cognitive Science
                     Computational Linguistics
                     Neurolinguistics
                     Psycholinguistics




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