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Reliability of single-subject neural activation patterns in speech production tasks
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Behavioral and neural correlates of speech motor sequence learning in stuttering and neurotypical speakers: an fMRI investigation
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Neural circuitry of the “rhythm effect” (Frankford et al., 2021) ...
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Behavioral and neural correlates of speech motor sequence learning in stuttering and neurotypical speakers: an fMRI investigation
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In: Neurobiol Lang (Camb) (2021)
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Auditory feedback control mechanisms do not contribute to cortical hyperactivity within the voice production network in adductor spasmodic dysphonia
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SimpleDIVA: A 3-parameter model for examining adaptation in speech and voice production
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Reliability of single-subject neural activation patterns in speech production tasks
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Abstract:
Traditional group fMRI (functional magnetic resonance imaging) analyses are not designed to detect individual differences that may be crucial to better understanding speech disorders. Single-subject research could therefore provide a richer characterization of the neural substrates of speech production in development and disease. Before this line of research can be tackled, however, it is necessary to evaluate whether healthy individuals exhibit reproducible brain activation across multiple sessions during speech production tasks. In the present study, we evaluated the reliability and discriminability of cortical functional magnetic resonance imaging data from twenty neurotypical subjects who participated in two experiments involving reading aloud mono- or bisyllabic speech stimuli. Using traditional methods like the Dice and intraclass correlation coefficients, we found that most individuals displayed moderate to high reliability, with exceptions likely due to increased head motion in the scanner. Further, this level of reliability for speech production was not directly correlated with reliable patterns in the underlying average blood oxygenation level dependent signal across the brain. Finally, we found that a novel machine-learning subject classifier could identify these individuals by their speech activation patterns with 97% accuracy from among a dataset of seventy-five subjects. These results suggest that single-subject speech research would yield valid results and that investigations into the reliability of speech activation in people with speech disorders are warranted. ; Accepted manuscript
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Keyword:
Classifier; FMRI; Neuroscience; Reliability; Speech production
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URL: https://hdl.handle.net/2144/40893 https://doi.org/10.1101/807925
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Functional parcellation of speech cortex (Tourville et al., 2019) ...
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Functional parcellation of speech cortex (Tourville et al., 2019) ...
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Anomalous morphology in left hemisphere motor and premotor cortex of children who stutter
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Anomalous morphology in left hemisphere motor and premotor cortex of children who stutter
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Surface electromyographic control of a novel phonemic interface for speech synthesis
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Reliability of fMRI data during speech production tasks across scanning sessions
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Subject-specific functional localizers increase sensitivity and functional resolution of multi-subject analyses
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Dual language profiles of Latino children of immigrants: Stability and change over the early school years
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Syntactic processing in the human brain: What we know, what we don’t know, and a suggestion for how to proceed
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In: PMC (2011)
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Lexical and syntactic representations in the brain: An fMRI investigation with multi-voxel pattern analyses
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In: PMC (2011)
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