2020
DOI: 10.1016/j.nicl.2020.102285
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Mapping typical and hypokinetic dysarthric speech production network using a connected speech paradigm in functional MRI

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Cited by 7 publications
(6 citation statements)
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“…Consistent with our assumption, quantitative methods were predominantly adopted in these studies, while only few employed qualitative or mixed approaches, such as error rate analysis, or presented case and exemplar studies. The common connected speech production measures used for speakers with developmental disorders included behavioral tasks (e.g., story retelling, picture description, word imitation, concurrent commenting, and free conversation), psychiatric rating scales ( De Prete et al, 2021 ), standardized tests ( Kirmess and Lind, 2011 ), corpus analysis, Voxelwise Lesion-Symptom Mapping (VLSM; Stark et al, 2019 ), and functional Magnetic Resonance Imaging (fMRI; Narayana et al, 2020 ). The data drawn from these instruments were processed by various statistical techniques ranging from the K-means algorithm, SPSS, and PRAAT speech software to spectral/cepstral analyses ( Bose et al, 2022 ) for a more accurate and comprehensive evaluation of speech rate, dysfluencies, syntactic, lexical, morphological, and semantic malfunctions.…”
Section: Resultsmentioning
confidence: 99%
“…Consistent with our assumption, quantitative methods were predominantly adopted in these studies, while only few employed qualitative or mixed approaches, such as error rate analysis, or presented case and exemplar studies. The common connected speech production measures used for speakers with developmental disorders included behavioral tasks (e.g., story retelling, picture description, word imitation, concurrent commenting, and free conversation), psychiatric rating scales ( De Prete et al, 2021 ), standardized tests ( Kirmess and Lind, 2011 ), corpus analysis, Voxelwise Lesion-Symptom Mapping (VLSM; Stark et al, 2019 ), and functional Magnetic Resonance Imaging (fMRI; Narayana et al, 2020 ). The data drawn from these instruments were processed by various statistical techniques ranging from the K-means algorithm, SPSS, and PRAAT speech software to spectral/cepstral analyses ( Bose et al, 2022 ) for a more accurate and comprehensive evaluation of speech rate, dysfluencies, syntactic, lexical, morphological, and semantic malfunctions.…”
Section: Resultsmentioning
confidence: 99%
“…Neuroimaging studies of speech production in PD have reported conflicting findings concerning the level of activation in SMA for PD patients compared to controls, with some studies reporting hypoactivation of SMA ( Baumann et al, 2018 ; Narayana et al, 2020 ), some reporting hyperactivation of SMA ( Liotti et al, 2003 ; Pinto et al, 2004 ; Rektorova et al, 2007 ), and others reporting no group differences in SMA activity between PD and controls ( Pinto et al, 2011 ; Arnold et al, 2014 ; Klobusiakova et al, 2021 ; Manes et al, 2023 ). Regarding voice intensity, Liotti et al (2003) found no differences in BG or SMA activity when comparing loud versus habitual overt speech in participants with PD.…”
Section: Impaired Performance In the Initiation Circuitmentioning
confidence: 99%
“…However, reduced voice intensity in PD does not appear to have a consistent or robust response to dopaminergic therapy ( Daniels et al, 1996 ; Kompoliti et al, 2000 ; Skodda et al, 2010 ; Fabbri et al, 2017 ). Moreover, existing neuroimaging studies of speech production in PD have reported mixed findings with respect to motor cortical activation, making it difficult to discern whether reduced vocal intensity is explicitly linked to reduced activity in the motor cortices ( Pinto et al, 2004 ; Rektorova et al, 2007 ; Pinto et al, 2011 ; Arnold et al, 2014 ; Baumann et al, 2018 ; Narayana et al, 2020 ). The variability across studies may be in part due to differences in the clinical presentation of the participants (e.g., whether participants presented with voice symptoms at the time of the study).…”
Section: Introductionmentioning
confidence: 99%