2021
DOI: 10.1007/s00429-020-02210-7
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Speech rate association with cerebellar white-matter diffusivity in adults with persistent developmental stuttering

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Cited by 14 publications
(11 citation statements)
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“…-27 years, N = 17; control group age range: 14-27 years, N = 13)(Watkins et al, 2007), and in another, no differences were found between the stuttering and control groups, but the left ICP FA was negatively correlated with speech rate in adults who stutter (age range: 19-52 years, N = 23; control group age range: 19-53 years, N = 19)(Jossinger et al, 2021). The discrepancies reported by the studies mentioned above may be explained by differences in the age range of participants examined, varying statistical power to detect group differences, as well as differing scanning protocols and dMRI analysis methods applied in the analyses (for a discussion of the latter point, see Jossinger, 2021).Concerning age, Jossinger et al (2021) point out that group differences reported byConnally et al (2014) for FA of the ICP decreased dramatically with age.…”
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confidence: 85%
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“…-27 years, N = 17; control group age range: 14-27 years, N = 13)(Watkins et al, 2007), and in another, no differences were found between the stuttering and control groups, but the left ICP FA was negatively correlated with speech rate in adults who stutter (age range: 19-52 years, N = 23; control group age range: 19-53 years, N = 19)(Jossinger et al, 2021). The discrepancies reported by the studies mentioned above may be explained by differences in the age range of participants examined, varying statistical power to detect group differences, as well as differing scanning protocols and dMRI analysis methods applied in the analyses (for a discussion of the latter point, see Jossinger, 2021).Concerning age, Jossinger et al (2021) point out that group differences reported byConnally et al (2014) for FA of the ICP decreased dramatically with age.…”
mentioning
confidence: 85%
“…Tracking proceeded in both directions along the principal diffusion axes and stopped when FA estimated at the current position dropped below 0.10 or when the angle between the last path segment and next step direction was greater than 30°. Fiber tract segmentation was based on waypoint ROIs, which were rst de ned on the JHU MNI T1 template and then back-transformed to each participants' native space (Bruckert et al, 2019;Jossinger et al, 2021). The core of the tract was calculated by de ning 30 sample points along the tract and computing the robust mean position of the corresponding sample points.…”
Section: Tract Identi Cation and Segmentationmentioning
confidence: 99%
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