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- All Subjects: Neurosciences
- All Subjects: fMRI
- All Subjects: Dyslexia
- All Subjects: resting-state
- Creators: Rogalsky, Corianne
- Resource Type: Text
The distinctions between the neural resources supporting speech and music comprehension have long been studied using contexts like aphasia and amusia, and neuroimaging in control subjects. While many models have emerged to describe the different networks uniquely recruited in response to speech and music stimuli, there are still many questions, especially regarding left-hemispheric strokes that disrupt typical speech-processing brain networks, and how musical training might affect the brain networks recruited for speech after a stroke. Thus, our study aims to explore some questions related to the above topics. We collected task-based functional MRI data from 12 subjects who previously experienced a left-hemispheric stroke. Subjects listened to blocks of spoken sentences and novel piano melodies during scanning to examine the differences in brain activations in response to speech and music. We hypothesized that speech stimuli would activate right frontal regions, and music stimuli would activate the right superior temporal regions more than speech (both findings not seen in previous studies of control subjects), as a result of functional changes in the brain, following the left-hemispheric stroke and particularly the loss of functionality in the left temporal lobe. We also hypothesized that the music stimuli would cause a stronger activation in right temporal cortex for participants who have had musical training than those who have not. Our results indicate that speech stimuli compared to rest activated the anterior superior temporal gyrus bilaterally and activated the right inferior frontal lobe. Music stimuli compared to rest did not activate the brain bilaterally, but rather only activated the right middle temporal gyrus. When the group analysis was performed with music experience as a covariate, we found that musical training did not affect activations to music stimuli specifically, but there was greater right hemisphere activation in several regions in response to speech stimuli as a function of more years of musical training. The results of the study agree with our hypotheses regarding the functional changes in the brain, but they conflict with our hypothesis about musical expertise. Overall, the study has generated interesting starting points for further explorations of how musical neural resources may be recruited for speech processing after damage to typical language networks.
Methods: Two adults with dyslexia and 4 control adults participated in an auditory gating test using tone pairs. Latencies and Amplitudes for the N100 and P200 responses were recorded and analyzed. Participants were also administered the Abbreviated Torrance Test for Adults (ATTA), a test of creative ability designed to evaluate divergent thinking in individuals. Results were averaged and compared.
Results: The averaged difference in measured N100 amplitudes between tone 1 and tone 2 was significantly larger in the control group compared to the difference observed in the dyslexia group. In particular, one participant with dyslexia who had low scores on a task of rapid word recognition also showed no evidence of gating at the N100 component, whereas the other participant with dyslexia with good word recognition scores showed evidence of intact gating. The averaged difference in measured P200 amplitude between tone 1 and tone 2 was larger in the dyslexia group compared to the control group; however, the difference was small enough to be considered insignificant. The total average ATTA score for the control group was higher than the average of the dyslexia group. This difference in total average was less than one point on a 106-point scale.
Conclusions: Neural sensory gating occurs approximately 100 ms after the onset of a stimulus and is diminished in adults with dyslexia who also have deficits in rapid word recognition. There is a difference in creativity, in terms of divergent thinking, between those with dyslexia and those without (controls scored higher on average); however, the difference is not significant (less than one point). Dyslexia scores were more consistent than controls.