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Functional connectivity changes in adults with developmental stuttering: a preliminary study using quantitative electro-encephalography.

Joos K, De Ridder D, Boey RA, Vanneste S - Front Hum Neurosci (2014)

Bottom Line: Therefore we focused on resting state brain activity and functional connectivity.Furthermore, we used standardized low resolution brain electromagnetic tomography (sLORETA) analyses to look at resting state activity and functional connectivity differences and their correlations with the TSS-R and OASES.PWS are characterized by decreased high frequency interhemispheric functional connectivity between motor speech, premotor and motor areas in the resting state, while higher functional connectivity in the low frequency bands indicates more severe speech disturbances, suggesting that increased interhemispheric and right sided functional connectivity is maladaptive.

View Article: PubMed Central - PubMed

Affiliation: Department of Neurosurgery, University Hospital Antwerp Antwerp, Belgium ; Department of Translational Neuroscience, Faculty of Medicine, University of Antwerp Antwerp, Belgium.

ABSTRACT

Introduction: Stuttering is defined as speech characterized by verbal dysfluencies, but should not be seen as an isolated speech disorder, but as a generalized sensorimotor timing deficit due to impaired communication between speech related brain areas. Therefore we focused on resting state brain activity and functional connectivity.

Method: We included 11 patients with developmental stuttering and 11 age matched controls. To objectify stuttering severity and the impact on quality of life (QoL), we used the Dutch validated Test for Stuttering Severity-Readers (TSS-R) and the Overall Assessment of the Speaker's Experience of Stuttering (OASES), respectively. Furthermore, we used standardized low resolution brain electromagnetic tomography (sLORETA) analyses to look at resting state activity and functional connectivity differences and their correlations with the TSS-R and OASES.

Results: No significant results could be obtained when looking at neural activity, however significant alterations in resting state functional connectivity could be demonstrated between persons who stutter (PWS) and fluently speaking controls, predominantly interhemispheric, i.e., a decreased functional connectivity for high frequency oscillations (beta and gamma) between motor speech areas (BA44 and 45) and the contralateral premotor (BA6) and motor (BA4) areas. Moreover, a positive correlation was found between functional connectivity at low frequency oscillations (theta and alpha) and stuttering severity, while a mixed increased and decreased functional connectivity at low and high frequency oscillations correlated with QoL.

Discussion: PWS are characterized by decreased high frequency interhemispheric functional connectivity between motor speech, premotor and motor areas in the resting state, while higher functional connectivity in the low frequency bands indicates more severe speech disturbances, suggesting that increased interhemispheric and right sided functional connectivity is maladaptive.

No MeSH data available.


Related in: MedlinePlus

Correlation between neural connectivity and OASES. Positive correlation between neural connectivity and OASES (p < 0.05) for the delta frequency band (purple line), the alpha 1 and alpha 2 frequency band (green line) and the beta 1 frequency band (red line). A negative correlation was observed for the beta 1 frequency band (red dotted line) and the gamma frequency band (black dotted line).
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Figure 4: Correlation between neural connectivity and OASES. Positive correlation between neural connectivity and OASES (p < 0.05) for the delta frequency band (purple line), the alpha 1 and alpha 2 frequency band (green line) and the beta 1 frequency band (red line). A negative correlation was observed for the beta 1 frequency band (red dotted line) and the gamma frequency band (black dotted line).

Mentions: The OASES correlated with neural connectivity in different frequency bands, including delta, alpha 1, alpha 2, beta 1 and gamma frequency band (r = 0.76; p < 0.05) (Figure 4). For delta an increased connectivity was present between left motor and right premotor area. For the alpha 1 and alpha 2 frequency band an increased synchronized activity between right and left motor cortices was present. Additionally, for the beta 1 frequency there is an increased connectivity between the right motor and left premotor cortex with a decreased functional connectivity between left premotor cortex and Broca’s area. We also identified an impaired connectivity between left motor and premotor cortex for the gamma frequency band. No significant correlation could be identified for the theta, beta 2 and beta 3 frequency bands.


Functional connectivity changes in adults with developmental stuttering: a preliminary study using quantitative electro-encephalography.

Joos K, De Ridder D, Boey RA, Vanneste S - Front Hum Neurosci (2014)

Correlation between neural connectivity and OASES. Positive correlation between neural connectivity and OASES (p < 0.05) for the delta frequency band (purple line), the alpha 1 and alpha 2 frequency band (green line) and the beta 1 frequency band (red line). A negative correlation was observed for the beta 1 frequency band (red dotted line) and the gamma frequency band (black dotted line).
© Copyright Policy - open-access
Related In: Results  -  Collection

License
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getmorefigures.php?uid=PMC4195313&req=5

Figure 4: Correlation between neural connectivity and OASES. Positive correlation between neural connectivity and OASES (p < 0.05) for the delta frequency band (purple line), the alpha 1 and alpha 2 frequency band (green line) and the beta 1 frequency band (red line). A negative correlation was observed for the beta 1 frequency band (red dotted line) and the gamma frequency band (black dotted line).
Mentions: The OASES correlated with neural connectivity in different frequency bands, including delta, alpha 1, alpha 2, beta 1 and gamma frequency band (r = 0.76; p < 0.05) (Figure 4). For delta an increased connectivity was present between left motor and right premotor area. For the alpha 1 and alpha 2 frequency band an increased synchronized activity between right and left motor cortices was present. Additionally, for the beta 1 frequency there is an increased connectivity between the right motor and left premotor cortex with a decreased functional connectivity between left premotor cortex and Broca’s area. We also identified an impaired connectivity between left motor and premotor cortex for the gamma frequency band. No significant correlation could be identified for the theta, beta 2 and beta 3 frequency bands.

Bottom Line: Therefore we focused on resting state brain activity and functional connectivity.Furthermore, we used standardized low resolution brain electromagnetic tomography (sLORETA) analyses to look at resting state activity and functional connectivity differences and their correlations with the TSS-R and OASES.PWS are characterized by decreased high frequency interhemispheric functional connectivity between motor speech, premotor and motor areas in the resting state, while higher functional connectivity in the low frequency bands indicates more severe speech disturbances, suggesting that increased interhemispheric and right sided functional connectivity is maladaptive.

View Article: PubMed Central - PubMed

Affiliation: Department of Neurosurgery, University Hospital Antwerp Antwerp, Belgium ; Department of Translational Neuroscience, Faculty of Medicine, University of Antwerp Antwerp, Belgium.

ABSTRACT

Introduction: Stuttering is defined as speech characterized by verbal dysfluencies, but should not be seen as an isolated speech disorder, but as a generalized sensorimotor timing deficit due to impaired communication between speech related brain areas. Therefore we focused on resting state brain activity and functional connectivity.

Method: We included 11 patients with developmental stuttering and 11 age matched controls. To objectify stuttering severity and the impact on quality of life (QoL), we used the Dutch validated Test for Stuttering Severity-Readers (TSS-R) and the Overall Assessment of the Speaker's Experience of Stuttering (OASES), respectively. Furthermore, we used standardized low resolution brain electromagnetic tomography (sLORETA) analyses to look at resting state activity and functional connectivity differences and their correlations with the TSS-R and OASES.

Results: No significant results could be obtained when looking at neural activity, however significant alterations in resting state functional connectivity could be demonstrated between persons who stutter (PWS) and fluently speaking controls, predominantly interhemispheric, i.e., a decreased functional connectivity for high frequency oscillations (beta and gamma) between motor speech areas (BA44 and 45) and the contralateral premotor (BA6) and motor (BA4) areas. Moreover, a positive correlation was found between functional connectivity at low frequency oscillations (theta and alpha) and stuttering severity, while a mixed increased and decreased functional connectivity at low and high frequency oscillations correlated with QoL.

Discussion: PWS are characterized by decreased high frequency interhemispheric functional connectivity between motor speech, premotor and motor areas in the resting state, while higher functional connectivity in the low frequency bands indicates more severe speech disturbances, suggesting that increased interhemispheric and right sided functional connectivity is maladaptive.

No MeSH data available.


Related in: MedlinePlus