Abstract
Foreign accent syndrome (FAS) is characterized by new onset speech that is perceived as foreign. Available data from acquired cases suggests focal brain damage in language and sensorimotor brain networks, but little remains known about abnormal functional connectivity in idiopathic cases of FAS without structural damage. Here, connectomic analyses were completed on three patients with idiopathic FAS to investigate unique functional connectivity abnormalities underlying accent change for the first time. Machine learning (ML)-based algorithms generated personalized brain connectomes based on a validated parcellation scheme from the Human Connectome Project (HCP). Diffusion tractography was performed on each patient to rule out structural fiber damage to the language system. Resting-state-fMRI was assessed with ML-based software to examine functional connectivity between individual parcellations within language and sensorimotor networks and subcortical structures. Functional connectivity matrices were created and compared against a dataset of 200 healthy subjects to identify abnormally connected parcellations. Three female patients (28–42 years) who presented with accent changes from Australian English to Irish (n = 2) or American English to British English (n = 1) demonstrated fully intact language system structural connectivity. All patients demonstrated functional connectivity anomalies within language and sensorimotor networks in numerous left frontal regions and between subcortical structures in one patient. Few commonalities in functional connectivity anomalies were identified between all three patients, specifically 3 internal-network parcellation pairs. No common inter-network functional connectivity anomalies were identified between all patients. The current study demonstrates specific language, and sensorimotor functional connectivity abnormalities can exist and be quantitatively shown in the absence of structural damage for future study.
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Conceptualization: Michael Sughrue and Jonathan Sherman; methodology: Michael Sughrue; formal analysis and investigation: Michael Sughrue, Isabella Young, and Nicholas Dadario; writing — original draft preparation: Nicholas Dadario; writing — review and editing: Nicholas Dadario, Keaton Piper, Isabella Young, Jonathan Sherman, and Michael Sughrue; resources: Michael Sughrue and Jonathan Sherman; supervision: Michael Sughrue; figures and tables; Keaton Piper and Nicholas Dadario
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Michael Sughrue is the Chief Medical Officer and co-founder of Omniscient Neurotechnology. Isabella Young is an employee of Omniscient Neurotechnology. Products related to this company were only discussed as needed for statistical analyses in the current paper using the Quicktome software. No other authors report any conflict of interest.
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Supplementary material have been provided detailing expanded methodology and results on recently reported coordinates for acquired cases of foreign accent syndrome in comparison with results presented in the current manuscript. (DOCX 38 kb)
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Dadario, N.B., Piper, K., Young, I.M. et al. Functional connectivity reveals different brain networks underlying the idiopathic foreign accent syndrome. Neurol Sci 44, 3087–3097 (2023). https://doi.org/10.1007/s10072-023-06762-4
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DOI: https://doi.org/10.1007/s10072-023-06762-4