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Review Article

Speech network regional involvement in bulbar ALS: a multimodal structural MRI study

ORCID Icon, ORCID Icon, ORCID Icon, ORCID Icon, & ORCID Icon
Pages 385-395 | Received 27 Nov 2018, Accepted 22 Apr 2019, Published online: 14 May 2019
 

Abstract

Objective: To examine gray (GM) and white matter (WM) structural changes in regions of the speech network (SpN) in ALS patients with varying degree of bulbar disease. Methods: T1 and DTI images were obtained for 19 ALS participants and 13 neurologically-intact controls. Surface-based, volumetric, and DTI metrics were obtained for 6 regions-of-interest (ROIs) including the primary motor cortex (PMC), pars triangularis (parsT), pars opercularis (ParsO), posterior superior temporal gyrus (pSTG), and transverse temporal (TT). Disease-effects and brain-behavioral correlates between neuroanatomy and clinical measures of bulbar, limb, and overall disability were examined using linear models. Results: Structural changes were observed in the right oral and limb PMC and left ParsT, TT, and pSTG in ALS. Bulbar motor dysfunction was associated with WM abnormalities in the right oral PMC and left pSTG, and GM changes in bilateral TT. In contrast, symptom progression rate predicted GM and WM changes in bilateral pars opercularis (part of Broca’s area). Grip strength and disease duration models were non-significant. Conclusions: The findings suggested that regions of the left-dominant SpN may be implicated in ALS and degeneration of these areas are related to bulbar disease severity. Involvement of regions that overlap across multiple connectomes such as Broca’s area, however, may be dependent on the rate of disease progression. The work contributes to our understanding of bulbar ALS subtype, which is crucial for predicting disease progression, delivering targeted clinical care, and appropriate recruitment into clinical trials.

Acknowledgements

The authors thank patients, their family members, and volunteers for their participation in this study. We also thank Dr. Madhura Kulkarni for assistance in data management, and Jamal Ansari for technical assistance with MRI post-processing.

Declaration of interest

The authors report no conflicts of interest. The authors alone are responsible for the content and writing of this article.

Additional information

Funding

This research was supported by the ALS Society of Canada Bernice Ramsey Discovery Grant and by the National Institutes of Health – National Institute of Deafness and Communication Disorders (NIH-NIDCD Grant #R01009890).

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