neural circuitry.

Purpose

  • Stuttering is characterized by intermittent speech disfluencies, which are dramatically reduced when speakers synchronize their speech with a steady beat.

  • The aim of the study was to understand the neural underpinnings of the "rhythm effect" in stuttering using functional magnetic resonance imaging (fMRI).

Method

  • Participants: 16 adults who stutter (AWS) and 17 adults who do not stutter (ANS).

  • Procedure: Participants read sentences aloud in two conditions: normal (self-paced) and rhythmic (paced by beats).

  • Analysis: Activation and task-based functional connectivity analyses were used to compare neural responses between speaking conditions after controlling for speaking rate.

Results

  • Participants who stutter showed fewer disfluent trials in the rhythmic condition than in the normal condition.

  • No significant changes in neural activation between conditions for the stuttering group, but greater activation was observed when groups were combined, particularly in:

    • Areas associated with speech sequencing

    • Sensory feedback control

    • Timing perception

  • Increased functional connectivity among cerebellar regions during rhythmic speech compared to normal speech and decreased connectivity between the left inferior cerebellum and the left prefrontal cortex.

Conclusions

  • The connectivity modulation suggests that the fluency-inducing technique activates compensatory timing systems in the cerebellum, modulating top-down motor control and attention systems.

  • Findings support previous research linking the cerebellum to fluency in stuttering and highlight potential targets for therapeutic interventions.

Background

  • Definition of Stuttering: A speech disorder impacting smooth articulation, affecting 1% of the population, characterized by repetitions, prolongations, and silent pauses accompanied by tension.

  • Stuttering can lead to social anxiety, reduced self-confidence, and impacts mental health (Craig et al., 2009).

  • Understanding stuttering could improve therapeutic interventions and quality of life for those affected.

Neuroimaging Insights

  • Brain imaging studies have shown structural and functional differences in neural networks related to speech initiation and timing in individuals who stutter.

  • Individuals who stutter may have:

    • Reduced activation in left hemisphere auditory areas.

    • Overactivation in the right hemisphere areas typically not dominant for language processing.

  • Task-based connectivity studies indicate that stuttering arises not only from impairments in specific brain regions but also from disrupted communication between these regions.

The Rhythm Effect

  • The rhythm effect demonstrates that externally paced conditions can reduce disfluencies significantly.

  • Previous studies support that this fluency enhancement is robust, independent of auditory or visual pacing, and can be elicited by an imagined rhythm (Barber, 1940; Stager et al., 1997).

  • Pacing methods are proposed to enhance fluency by normalizing underactivation in speech production areas (Toyomura et al., 2011).

Methodology

Participants

  • AWS: 16 individuals (Men: 11, Women: 5), aged 18-58 (M = 29.9, SD = 12.9).

  • ANS: 17 individuals (Men: 11, Women: 6), aged 18-49 (M = 28.7, SD = 8.1).

  • All subjects had normal hearing, speech, vision, and no history of neurological disorders except for AWS.

Experimental Design

  • Speech Tasks: Participants read aloud 16 sentences from the Harvard Sentences set under two conditions:

    • Rhythm Condition: Individual syllables paced by isochronous beats (1000 Hz, 25 ms duration).

    • Normal Condition: Read at a natural rate.

  • Subjects practiced each sentence until proficiency was achieved.

Data Acquisition

  • MRI data collected in two locations: 3T Siemens Skyra scanner and 3T Siemens Prisma scanner.

  • Functional data were acquired using a BOLD imaging sequence aligned with speech tasks.

Behavioral Analysis

  • Analyzed disfluency rates and speaking patterns across conditions, finding significant differences in disfluency frequency and speech rate.

  • Stuttering significantly reduced in rhythmic conditions, with enhanced isochronicity measured by a lower coefficient of variation of intervocalic intervals (CV-IVIs).

Task Activation fMRI Analysis

Analysis Techniques

  • BOLD responses modeled using a general linear model (GLM).

  • First-level contrast estimates were analyzed considering various covariates including motion and condition effects.

Connectivity Analysis

  • Seed-based functional connectivity examined using CONN toolbox, focused on cerebellar and cortical regions involved in speech production.

  • Connectivity showed significant differences between rhythm and normal conditions, highlighting the dynamic interaction between auditory, motor, and sensory regions.

Discussion

  • The cerebellum plays a compensatory role in speech timing for AWS, reinforcing its potential as a target for therapeutic strategies.

  • Further research is needed to consolidate these findings and translate them into clinical practices for improving fluency in stuttering patients.

Limitations

  • Potential confounding factors such as trial sequence presentation and the sparse imaging paradigm which may have affected the hemodynamic response.

Future Directions

  • Additional studies focusing on functional connectivity in speech tasks could enhance the understanding of speech production in various conditions.

  • Individuals who stutter may have:

    • Reduced activation in left hemisphere auditory areas.

    • Overactivation in the right hemisphere areas typically not dominant for language processing.

  • Task-based connectivity studies indicate that stuttering arises not only from impairments in specific brain regions but also from disrupted communication between these regions.