Disconnection of speech-relevant brain areas in persistent developmental stuttering

The Lancet ◽  
2002 ◽  
Vol 360 (9330) ◽  
pp. 380-383 ◽  
Author(s):  
Martin Sommer ◽  
Martin A Koch ◽  
Walter Paulus ◽  
Cornelius Weiller ◽  
Christian Büchel
2021 ◽  
Vol 15 ◽  
Author(s):  
Max Gattie ◽  
Elena V. M. Lieven ◽  
Karolina Kluk

Vibrational energy created at the larynx during speech will deflect vestibular mechanoreceptors in humans (Todd et al., 2008; Curthoys, 2017; Curthoys et al., 2019). Vestibular-evoked myogenic potential (VEMP), an indirect measure of vestibular function, was assessed in 15 participants who stutter, with a non-stutter control group of 15 participants paired on age and sex. VEMP amplitude was 8.5 dB smaller in the stutter group than the non-stutter group (p = 0.035, 95% CI [−0.9, −16.1], t = −2.1, d = −0.8, conditional R2 = 0.88). The finding is subclinical as regards gravitoinertial function, and is interpreted with regard to speech-motor function in stuttering. There is overlap between brain areas receiving vestibular innervation, and brain areas identified as important in studies of persistent developmental stuttering. These include the auditory brainstem, cerebellar vermis, and the temporo-parietal junction. The finding supports the disruptive rhythm hypothesis (Howell et al., 1983; Howell, 2004) in which sensory inputs additional to own speech audition are fluency-enhancing when they coordinate with ongoing speech.


Cortex ◽  
2016 ◽  
Vol 81 ◽  
pp. 79-92 ◽  
Author(s):  
Vered Kronfeld-Duenias ◽  
Ofer Amir ◽  
Ruth Ezrati-Vinacour ◽  
Oren Civier ◽  
Michal Ben-Shachar

Author(s):  
Cara M. Singer ◽  
Sango Otieno ◽  
Soo-Eun Chang ◽  
Robin M. Jones

Purpose: The purpose of this study was to explore how well a cumulative risk approach, based on empirically supported predictive factors, predicts whether a young child who stutters is likely to develop persistent developmental stuttering. In a cumulative risk approach, the number of predictive factors indicating a child is at risk to develop persistent stuttering is evaluated, and a greater number of indicators of risk are hypothesized to confer greater risk of persistent stuttering. Method: We combined extant data on 3- to 5-year-old children who stutter from two longitudinal studies to identify cutoff values for continuous predictive factors (e.g., speech and language skills, age at onset, time since onset, stuttering frequency) and, in combination with binary predictors (e.g., sex, family history of stuttering), used all-subsets regression and receiver operating characteristic curves to compare the predictive validity of different combinations of 10 risk factors. The optimal combination of predictive factors and the odds of a child developing persistent stuttering based on an increasing number of factors were calculated. Results: Based on 67 children who stutter (i.e., 44 persisting and 23 recovered) with relatively strong speech-language skills, the predictive factor model that yielded the best predictive validity was based on time since onset (≥ 19 months), speech sound skills (≤ 115 standard score), expressive language skills (≤ 106 standard score), and stuttering severity (≥ 17 Stuttering Severity Instrument total score). When the presence of at least two predictive factors was used to confer elevated risk to develop persistent stuttering, the model yielded 93% sensitivity and 65% specificity. As a child presented with a greater number of these four risk factors, the odds for persistent stuttering increased. Conclusions: Findings support the use of a cumulative risk approach and the predictive utility of assessing multiple domains when evaluating a child's risk of developing persistent stuttering. Clinical implications and future directions are discussed.


2011 ◽  
pp. 1284-1326
Author(s):  
Manuel Prado-Velasco ◽  
Carlos Fernández-Peruchena

Persistent Developmental Stuttering affects 1-2% of the world adult population. Its etiology is still unknown, although modern neuroimaging techniques have shown a new and exciting perspective of earlier ideas and hypotheses. However, it is now clear that a new approach to understand the true nature of the disorder is needed. We present a new etiological model of persistent developmental stuttering based on a deep analysis of earlier models and on the stuttering phenomenology, described in basic, clinical, and even ethnographic sources. One of the more stimulating conclusions has been the suggestion that stuttering is a non-speech based disorder, in opposition to the accepted belief. The implications of this model have guided the design of a new adaptive AAF device for prosthetic and therapeutic functions. It is supported by a wearable multimodal intelligent system, which evolves from a preliminary proposal presented in (Prado & Roa, 2007).


2010 ◽  
Vol 30 (1) ◽  
pp. 48-56 ◽  
Author(s):  
Gerald Maguire ◽  
David Franklin ◽  
Nick G. Vatakis ◽  
Elena Morgenshtern ◽  
Timothey Denko ◽  
...  

2014 ◽  
Vol 69 ◽  
pp. 23-31 ◽  
Author(s):  
Tae-Un Han ◽  
John Park ◽  
Carlos F. Domingues ◽  
Danilo Moretti-Ferreira ◽  
Emily Paris ◽  
...  

2015 ◽  
Vol 149 ◽  
pp. 97-105 ◽  
Author(s):  
Jeffrey R. Mock ◽  
Anne L. Foundas ◽  
Edward J. Golob

2019 ◽  
Vol 189 ◽  
pp. 1-9
Author(s):  
Ludo Max ◽  
Mahrukh Kadri ◽  
Takashi Mitsuya ◽  
Venu Balasubramanian

2018 ◽  
Vol 55 ◽  
pp. 84-93 ◽  
Author(s):  
Nicole E. Neef ◽  
Christoph Bütfering ◽  
Tibor Auer ◽  
F. Luise Metzger ◽  
Harald A. Euler ◽  
...  

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