Reduced integrity in the frontal aslant tract’s premotor connections is associated with dysfluency severity in stuttering

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ID: 321387
2026
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Abstract
Abstract Stuttering is a neurodevelopmental disorder marked by impaired speech production and substantial interindividual variability in symptom severity. Although neuroimaging studies have identified abnormalities in the basal ganglia-thalamocortical circuitry, the specific white matter pathways that underpin dysfluent speech production remain poorly understood. Here, we focus on the frontal aslant tract (FAT), a dorsoventral intralobar tract connecting the superior and inferior frontal cortices and proposed to support both cognitive and motor functions. Using diffusion MRI, we first compared the quantitative anisotropy of the FAT and relevant control tracts in individuals who stutter (n=30, mean age=35.67, SD=13.03) and fluent speakers (n=22, mean age=35.64, SD=10.87) and observed no significant group-level differences in either hemisphere. To delineate the role of FAT sub-bundles in speech dysfluency, we then segmented the tract at its dorsal and ventral cortical terminations and assessed their relationships with stuttering severity (SSI-4). We identified left FAT sub-bundles connecting the posteroventral frontal structures, particularly the rostroventral precentral gyrus and, to a lesser extent, the pars opercularis to a dorsal prefrontal region, whose integrity predicts stuttering severity. The left-lateralized nature of these associations suggests that stuttering results, in part, from abnormal connectivity between prefrontal systems governing volitional control and the motor circuits engaged in speech production. Together, these findings refine current neurobiological models of stuttering by implicating frontofrontal white matter pathways underlying speech dysfluency and highlight a potential anatomical target for individualized therapeutic interventions.
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Authors Maëva Michon, Fabrice Hirsch, Ivana Didirková, Davide Giampiccolo, Marie-Claude Monfrais-Pfauwadel, Anne‐Laure Lemaitre, Jérémy Deverdun, Emmanuelle Lebars, Guillaume Herbet
Journal PNAS nexus
Year 2026
DOI
10.1093/pnasnexus/pgag245
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