Functional and structural abnormalities of the speech disorders: a multimodal activation likelihood estimation meta-analysis.

Journal: Cerebral cortex (New York, N.Y. : 1991)

Volume: 34

Issue: 3

Year of Publication: 2024

Affiliated Institutions:  Key Laboratory for Artificial Intelligence and Cognitive Neuroscience of Language, Xi'an International Studies University, Xi'an , China. Philosophy and Social Science Laboratory of Reading and Development in Children and Adolescents (South China Normal University); School of Psychology; Guangdong Key Laboratory of Mental Health and Cognitive Science, South China Normal University, Guangzhou , China. Imaging Department, Xi'an GEM Flower Changqing Hospital, Xi'an , China. Speech Language Therapy Department, Shaanxi Provincial Rehabilitation Hospital, Xi'an , China.

Abstract summary 

Speech disorders are associated with different degrees of functional and structural abnormalities. However, the abnormalities associated with specific disorders, and the common abnormalities shown by all disorders, remain unclear. Herein, a meta-analysis was conducted to integrate the results of 70 studies that compared 1843 speech disorder patients (dysarthria, dysphonia, stuttering, and aphasia) to 1950 healthy controls in terms of brain activity, functional connectivity, gray matter, and white matter fractional anisotropy. The analysis revealed that compared to controls, the dysarthria group showed higher activity in the left superior temporal gyrus and lower activity in the left postcentral gyrus. The dysphonia group had higher activity in the right precentral and postcentral gyrus. The stuttering group had higher activity in the right inferior frontal gyrus and lower activity in the left inferior frontal gyrus. The aphasia group showed lower activity in the bilateral anterior cingulate gyrus and left superior frontal gyrus. Across the four disorders, there were concurrent lower activity, gray matter, and fractional anisotropy in motor and auditory cortices, and stronger connectivity between the default mode network and frontoparietal network. These findings enhance our understanding of the neural basis of speech disorders, potentially aiding clinical diagnosis and intervention.

Authors & Co-authors:  Cai Dong Mei Feng Li Wang Yan

Study Outcome 

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Statistics
Citations : 
Authors :  7
Identifiers
Doi : bhae075
SSN : 1460-2199
Study Population
Male,Female
Mesh Terms
Humans
Other Terms
activation likelihood estimation;diffusion tensor/weighted imaging;functional MRI;speech disorders;voxel-based/tensor-based morphometry
Study Design
Study Approach
Country of Study
Mali
Publication Country
United States