Inhibitory control in childhood stuttering

https://doi.org/10.1016/j.jfludis.2012.10.001Get rights and content

Abstract

Purpose

The purpose of this study was to investigate whether previously reported parental questionnaire-based differences in inhibitory control (IC; Eggers, De Nil, & Van den Bergh, 2010) would be supported by direct measurement of IC using a computer task.

Method

Participants were 30 children who stutter (CWS; mean age = 7;05 years) and 30 children who not stutter (CWNS; mean age = 7;05 years). Participants were matched on age and gender (±3 months). IC was assessed by the Go/NoGo task of the Amsterdam Neuropsychological Tasks (De Sonneville, 2009).

Results

Results indicated that CWS, compared to CWNS, (a) exhibited more false alarms and premature responses, (b) showed lower reaction times for false alarms, and (c) were less able to adapt their response style after experiencing response errors.

Conclusions

Our findings provide further support for the hypothesis that CWS and CWNS differ on IC. CWS, as a group, were lower in IC pointing toward a lowered ability to inhibit prepotent response tendencies. The findings were linked to previous IC-related studies and to emerging theoretical frameworks of stuttering development.
Educational objectives: The reader will be able to: (1) describe the concept of inhibitory control, and its functional significance; (2) describe the findings on self-regulatory processes, attentional processes, and inhibitory control in CWS; (3) identify which Go/NoGo task variables differentiated between CWS and CWNS; and (4) summarize the theoretical implications for the development of stuttering and the possible clinical implications.

Highlights

► CWS exhibited more false alarms and premature responses on the Go/NoGo task. ► CWS showed lower reaction times for false alarms on the Go/NoGo task. ► CWS were less able to adapt their response style after experiencing response errors.

Introduction

Inhibitory control (IC) is the ability to suppress, interrupt or delay an inappropriate response under instructions or in novel or uncertain situations (Clark, 1996, Rothbart, 1989) or to ignore irrelevant information (Dagenbach and Carr, 1994, Dempster and Brainerds, 1995, Rothbart and Posner, 1985). IC is essential for the performance of everyday tasks (Simpson & Riggs, 2009) and has been implicated in cognitive development (Harnishfeger & Bjorklund, 1994), executive functioning (Friedman & Miyake, 2004), and the conscious use of attention or attentional control (Desimone and Duncan, 1995, Kochanska, 1997). It is strongly related to the coordination and integration of mental processes in successful task performance (Dowsett & Livesey, 1999) and plays an important role in the self-regulation of emotional states (Kochanska et al., 1996, Kopp, 1982).

Several authors have alluded to a possible role for self-regulatory processes, attentional control processes, and more specifically inhibitory control in the development of stuttering. Evidence for possible reduced self-regulation has come from observations that children who stutter (CWS) are (a) lower in adaptability (Anderson, Pellowski, Conture, & Kelly, 2003), (b) lower in biological rhythmicity (Anderson et al., 2003) and (c) less efficient in emotional regulation (Karrass et al., 2006), although the latter finding was not confirmed in a recent study from the same research group (Arnold, Conture, Key, & Walden, 2011). With regard to attentional control, studies have reported CWS to be (a) more or less distractible, depending on the measurement method used (Anderson et al., 2003, Embrechts et al., 2000, Schwenk et al., 2007), (b) less efficient in attention regulation (Felsenfeld et al., 2010, Karrass et al., 2006, Schwenk et al., 2007), and (c) less efficient in attentional orienting (Eggers et al., 2010, Eggers et al., 2012); also studies in adults who stutter pointed to a lowered efficiency in allocating attentional resources under dual task conditions (Bosshardt, 1999, Bosshardt, 2002, Bosshardt, 2006, Bosshardt et al., 2002, Smits-Banstra and De Nil, 2007, Vasic and Wijnen, 2005). Finally, some studies reported that CWS were lower in inhibitory control (Eggers et al., 2010, Embrechts et al., 2000), while others found no difference (Anderson & Wagovich, 2010).

Further study of IC in stuttering may be particularly interesting because of its role in speech motor planning and production (e.g., Alm, 2004b, Smits-Banstra and De Nil, 2007, Xue et al., 2008); moreover, imaging studies in stuttering (for an overview: see Watkins, Smith, Davis, & Howell, 2008) have revealed aberrant activity in the underlying cortical and subcortical structures of IC, namely the right prefrontal cortex (e.g., Aron et al., 2003, Casey et al., 1997) and the fronto-basal ganglia circuit (Aron et al., 2007, Chambers et al., 2009, Congdon et al., 2010).

In a number of recent studies, we have found evidence for a possible role of IC in developmental stuttering (Eggers et al., 2009, Eggers et al., 2010). These studies were done using the Children's Behavior Questionnaire (CBQ; Rothbart, Ahadi, Hershey, & Fisher, 2001), a parent-report temperament questionnaire for young children based on Rothbart's temperament model. Rothbart defines temperament as constitutionally based individual differences in reactivity and self-regulation (Rothbart, 1989, Rothbart, 2011, Rothbart and Derryberry, 1981). Reactivity refers to motor, emotional, and attentional responses to internal and external stimuli and is operationalized in CBQ-scales such as Approach and Anger/Frustration. Self-regulation are those processes serving to modulate – i.e., facilitate or inhibit – the aforementioned reactivity, and is measured in the CBQ by scales such as Inhibitory Control and Attentional Focusing/Shifting. In a recent study of 3–8 year-old children (Eggers et al., 2010) we found that CWS scored significantly lower on the self-regulation-related scales of IC and Attentional Shifting and their overarching superfactor of Effortful Control, a finding that was consistent with other questionnaire-based studies in CWS (Embrechts et al., 2000, Karrass et al., 2006).

In a subsequent study (Eggers et al., 2012), we examined whether the parent-reported lower self-regulation and inhibitory control in CWS could be corroborated experimentally using measures of attentional processes, which are central to these self-regulatory behaviors (Rothbart, Ellis, Rueda, & Posner, 2003). Using the child version of the Attention Network Test (ANT; Fan et al., 2002, Rueda et al., 2004), a computer task measuring the efficiency of the 3 attentional networks, we found CWS to be significantly lower in the efficiency of their orienting network, which is linked to the Attentional Shifting scale of the CBQ. However, for the executive control network, the network underlying IC, only a non-significant trend (p = .066) toward a lower efficiency for CWS was found. This led us to propose that our earlier reported CBQ-based IC findings were either not associated with a lower efficiency of the executive control network or, that the paradigm used to test the executive attentional network in the previous study lacked the necessary power to detect significant between-group differences. One reason for the need of more specific measures is the fact that executive attention consists of three integrated, measurable mechanisms, namely error detection and correction, conflict resolution, and inhibition of automatic responses (e.g., Norman and Shallice, 1986, Posner and Raichle, 1994, Rothbart and Posner, 2001). As such, attempts to measure a complex network such as executive attention using one global measure may be less likely to be successful. Some indirect support for this comes from the observation that in similar studies with ADHD children, differences in IC emerged by using a stop-signal paradigm (Pliszka, Liotti, & Woldorff, 2000), while no differences were found for the broader underlying executive attentional network (Adolfsdottir et al., 2008, Booth, 2003). Therefore, the current study was designed to examine specifically IC in CWS by using a more targeted experimental measurement.

There is a considerable variability in the paradigms used to measure IC and several experimental measures have been developed to assess IC across different age-ranges, e.g., Go/NoGo or stop-signal tasks, Stroop-like or card sorting paradigms, and Mistaken Gift or Gift Delay Tasks (Baron, 2004, Carlson and Moses, 2001, Christ et al., 2001). According to Barkley's model of response inhibition (1997), these measures are directed at evaluating three interrelated processes: (a) inhibition of an initial prepotent response, which can be measured using a Go/NoGo task (Casey et al., 1997) or a gift delay task (Kochanska et al., 1996); (b) stopping of an ongoing response, as measured for instance using a stop-signal task (Aron and Poldrack, 2005, Pliszka et al., 1997); and (c) protection of self-initiated responses from disruption by conflicting events or interference, for instance as measured by a Stroop-like task (Gerstadt, Hong, & Diamond, 1994).

The purpose of this study was to test experimentally previous findings of parent-reported (CBQ) differences in IC between CWS and children who not stutter (CWNS), in particular the inhibition of prepotent responses, using a Go/NoGo task. Based on these previous findings, we hypothesized that CWS, as a group, would be lower in IC compared to CWNS.

Section snippets

Participants

Participants consisted of 30 children (24 boys and 6 girls) diagnosed with developmental stuttering and 30 typically developing nonstuttering children, matched by age (±3 months) and gender to the children who stutter. The mean age was 7;05 years (SD = 1;05 years; range = 4;10–10;00) for the CWS and 7;05 years (SD = 1;05 years; range = 4;10–9;11) for the CWNS. All children were monolingual Dutch speaking. All participants had normal or corrected to normal vision and normal speech and language

Results

Differences in baseline speed RT were evaluated using a t-test. The mean RT for CWS (414 ms, SD = 91) and CWNS (423 ms, SD = 115) was not significantly different: t (58) = −.95, p = .72.

Table 1 provides an overview of the mean error percentages of Go/NoGo task variables (misses, false alarms, and premature responses) for both participant groups. Spearman's rank correlations were calculated to examine the relationships between these variables and chronological age (Table 2). No significant correlations

Discussion

Previous studies based on parent reports already reported mean group differences in IC between CWS and CWNS, with the CWS scoring lower than the control participants (Eggers et al., 2009, Eggers et al., 2010, Embrechts et al., 2000), although this finding was not confirmed in all studies (Anderson & Wagovich, 2010). The present study used a computer-based Go/NoGo-paradigm to investigate experimentally the presence or absence of group differences in IC.

Conclusions

Our results, based on a computer based Go/NoGo paradigm, provide further support for the hypothesis that CWS and CWNS differ in IC. CWS, as a group, were lower in IC, which suggests a lowered ability to inhibit prepotent response tendencies. The findings were linked to previous IC-related studies and to emerging theoretical frameworks of stuttering development.
CONTINUING EDUCATION
Inhibitory control in childhood stuttering
QUESTIONS

  • 1.

    Questionnaire-based research on self-regulation, attentional

Acknowledgments

This research was funded by Lessius University College. The authors would like to thank all the families, schools and fluency specialists who participated in this study and students Julie Germanes and Sophie Sambre for their assistance.

Kurt Eggers is head of the Speech-Language Therapy and Audiology Department at Lessius UC, affiliated researcher at Leuven U, and coordinator of a private practice. He coordinates the EU Fluency Specialization and is an IALP fluency committee member. He has lectured/published nationally/internationally and his research focuses on temperamental aspects in stuttering.

References (109)

  • S. Carlson et al.

    Inhibitory control and emotion regulation in preschool children

    Cognitive Development

    (2007)
  • C.D. Chambers et al.

    Insights into the neural basis of response inhibition from cognitive and clinical neuroscience

    Neuroscience and Biobehavioral Reviews

    (2009)
  • J.M. Clark

    Contributions of inhibitory mechanisms to unified theory in neuroscience and psychology

    Brain and Cognition

    (1996)
  • E. Congdon et al.

    Engagement of large-scale networks is related to individual differences in inhibitory control

    Neuroimage

    (2010)
  • K. Eggers et al.

    Temperament dimensions of stuttering, voice disordered, and normal speaking children

    Journal of Fluency Disorders

    (2010)
  • R. Ezrati-Vinacour et al.

    The relationship between anxiety and stuttering: A multidimensional approach

    Journal of Fluency Disorders

    (2004)
  • J. Förster et al.

    Speed/accuracy decisions in task performance: Built-in trade-off or separate strategic concerns?

    Organizational Behavior and Human Decision Processes

    (2003)
  • D. Frye et al.

    Theory of mind and rule-based reasoning

    Cognitive Development

    (1995)
  • C.L. Gerstadt et al.

    The relationship between cognition and action: Performance of children 3.5–7 years old on Stroop-like day–night test

    Cognition

    (1994)
  • D.A. Hackman et al.

    Socioeconomic status and the developing brain

    Trends in Cognitive Sciences

    (2009)
  • K.K. Harnishfeger et al.

    A developmental perspective on individual differences in inhibition

    Learning and Individual Differences

    (1994)
  • S.J. Johnstone et al.

    The development of stop-signal and go/no-go response inhibition in children aged 7–12 years: Performance and event-related potentials indices

    International Journal of Psychophysiology

    (2007)
  • J. Karrass et al.

    Relation of emotional reactivity and regulation to childhood stuttering

    Journal of Communication Disorders

    (2006)
  • W.J.M. Levelt

    Monitoring and self-repair in speech

    Cognition

    (1983)
  • J. Mink

    The basal ganglia: Focused selection and inhibition of competing motor programs

    Progress in Neurobiology

    (1996)
  • J.W. Mink et al.

    Basal ganglia intrinsic circuits and their role in behavior

    Current Opinion in Neurobiology

    (1993)
  • A. Nambu et al.

    Functional significance of the corticosubthalamo-pallidal ‘hyperdirect’ pathway

    Neuroscience Research

    (2002)
  • S.R. Pliszka et al.

    Inhibitory control in children with attention-deficit/hyperactivity disorder: Event-related potentials identify the processing component and timing of an impaired right-frontal response-inhibition mechanism

    Biological Psychiatry

    (2000)
  • K. Rubia et al.

    Mapping motor inhibition: Conjunctive brain activations across different versions of go/no-go and stop tasks

    Neuroimage

    (2001)
  • M.R. Rueda et al.

    Development of attentional networks in childhood

    Neuropsychologica

    (2004)
  • K.A. Schwenk et al.

    Reaction to background stimulation of preschool children who do and do not stutter

    Journal of Communication Disorders

    (2007)
  • C. Seery et al.

    Subtyping stuttering. II. Contributions from language and temperament

    Journal of Fluency Disorders

    (2007)
  • A. Subramanian et al.

    Identification of traits associated with stuttering

    Journal of Communication Disorders

    (2006)
  • V. Tumanova et al.

    Articulation rate and its relationship to disfluency type, duration, and temperament in preschool children who stutter

    Journal of Communication Disorders

    (2011)
  • S. Adolfsdottir et al.

    The attention network test: A characteristic pattern of deficits in children with ADHD

    Behavioral and Brain Functions

    (2008)
  • J.D. Anderson et al.

    Temperamental characteristics of young children who stutter

    Journal of Speech, Language and Hearing Research

    (2003)
  • A.R. Aron et al.

    Converging evidence for a fronto-basal-ganglia network for inhibitory control of action and cognition

    The Journal of Neuroscience

    (2007)
  • A.R. Aron et al.

    Stop-signal inhibition disrupted by damage to right inferior frontal gyrus in humans

    Nature Neuroscience

    (2003)
  • R.A. Barkley

    Behavioral inhibition, sustained attention, and executive functions: Constructing a unified theory of ADHD

    Psychological Bulleting

    (1997)
  • I.S. Baron

    Neuropsychological evaluation of the child

    (2004)
  • A.C. Bedard et al.

    The development of selective inhibitory control across the life span

    Developmental Neuropsychology

    (2002)
  • N. Bernstein Ratner et al.

    The vicious cycle: Linguistic encoding, self-monitoring and stuttering

  • A. Bird et al.

    Parent–child talk about past emotional events: Associations with child temperament and goodness-of-fit

    Journal of Cognition and Development

    (2006)
  • O. Bloodstein et al.

    A handbook on stuttering

    (2008)
  • Booth, J. E. (2003). Cognitive processes of inattention in attention deficit hyperactivity disorder subtypes. Doctoral...
  • H.G. Bosshardt

    Cognitive processing load as a determinant of stuttering: Summary of a research programme

    Clinical Linguistics & Phonetics

    (2006)
  • H.G. Bosshardt et al.

    Effects of category and rhyme decisions on sentence production

    Journal of Speech, Language, and Hearing Research

    (2002)
  • S.M. Carlson et al.

    Individual differences in inhibitory control and children's theory of mind

    Child Development

    (2001)
  • A.C. Carver et al.

    Age related differences in Stop-Signal Task performance

    International Journal of Neuroscience

    (2001)
  • B.J. Casey et al.

    A developmental functional MRI study of prefrontal activation during performance of a go-no-go task

    Journal of Cognitive Neuroscience

    (1997)
  • Cited by (97)

    • Brain response to errors in children who stutter

      2024, Journal of Fluency Disorders
    View all citing articles on Scopus

    Kurt Eggers is head of the Speech-Language Therapy and Audiology Department at Lessius UC, affiliated researcher at Leuven U, and coordinator of a private practice. He coordinates the EU Fluency Specialization and is an IALP fluency committee member. He has lectured/published nationally/internationally and his research focuses on temperamental aspects in stuttering.

    Luc F. De Nil is a professor at the Department of Speech-Language Pathology at the University of Toronto, Affiliated Scientist at the Toronto Western Research Institute, Adjunct Scientist at the Hospital for Sick Children in Toronto, Visiting Professor at Catholic University of Leuven (Belgium) and Editor-in-Chief of the Journal of Communication Disorders.

    Bea R.H. Van den Bergh is a professor at the Developmental/Clinical Psychology Department (Tilburg University), Department of Psychology (University of Leuven), and scientist of the Flemish Community. Her research over 20 years has shown that alterations in behavior and health leading to mental/physical diseases are also associated with environmental influences operating before and at birth.

    View full text