scispace - formally typeset
Search or ask a question
Journal ArticleDOI

A Brain Marker for Developmental Speech Disorders.

TL;DR: Atypical development of the left corticobulbar tract may be a neural marker for DSD, and changes for language disorders are likely more complex.
Abstract: Objective To characterize the organization of speech- and language-related white matter tracts in children with developmental speech and/or language disorders. Study design We collected magnetic resonance diffusion-weighted imaging data from 41 children, ages 9-11 years, with developmental speech and/or language disorders, and compared them with 45 typically developing controls with the same age range. We used probabilistic tractography of diffusion-weighted imaging to map language (3 segments of arcuate fasciculus, extreme capsule system) and speech motor (corticobulbar) tracts bilaterally. The corticospinal and callosal tracts were used as control regions. We compared the mean fractional anisotropy and diffusivity values between atypical and control groups, covarying for nonverbal IQ. We then examined differences between atypical subgroups: developmental speech disorder (DSD), developmental language disorder, and co-occurring developmental speech and language disorder. Results Fractional anisotropy in the left corticobulbar tract was lower in the DSD than in the control group. Radial and mean diffusivity were higher in the DSD than the developmental language disorder, co-occurring developmental speech and language disorder, or control groups. There were no group differences for any metrics in the language or control tracts. Conclusions Atypical development of the left corticobulbar tract may be a neural marker for DSD. This finding is in line with reports of speech disorder after left corticobulbar damage in children and adults with brain injury. By contrast, we found no association between diffusion metrics in language-related tracts in developmental language disorder, and changes for language disorders are likely more complex.

Summary (2 min read)

INTRODUCTION

  • Developmental speech and language disorders are common, seen in 1 in 20 preschool children, in the absence of neurological deficits, intellectual impairment or hearing loss.
  • Most recently, diffusion weighted imaging and tractography have become promising tools as measures of white matter organization, allowing us to examine structural brain connectivity in these conditions.
  • The dorsal pathway matures at a later stage of development and has been suggested to be involved in more complex language functions.
  • Of note, the absence of such findings could be in part because existing studies include highly selected, cross-sectionally recruited, clinical samples (see 10-12 for review), with limited generalizability of findings to the broader DLD population.
  • The authors hypothesized developmental speech and language disorders would be associated with atypical development of speech-motor and language (dorsal and ventral streams) tracts, respectively.

Participant recruitment

  • Participants (N = 86, age range: 9.25-11.25 years) were recruited from the Early Language in Victoria Study (ELVS), a longitudinal community-based study of 1900 children.
  • Age of scanning was carefully chosen to reflect a time when communication trajectories are relatively stable.
  • Some attrition occurred across the 4 and 5 year old waves of the ELVS, hence expanding the DLD inclusion criteria across 2 data waves provided a larger pool for recruitment.
  • Articulation disorder could also include an omission error where the phone was absent in the child’s inventory, but it appears in the phonetic inventory of >90% of peers in normative data.22-24 Phonological delay was use of a phonological process that occurs in typically developing speech, but is used beyond an age where it is typically resolved in >90% of peers.
  • Exclusion criteria were a history of neurological, hearing, genetic or neurodevelopmental disorders (e.g., autistic spectrum disorder) and non-English speaking background.

Procedure

  • At the time of scanning, participants were assessed with the same speech, language and nonverbal IQ tests reported above for participant group selection (Table 1).
  • Standardized scores were used for the CELF-IV26 and WASI.19 Clinical diagnosis of DSD was made based on phonetic transcription and phonological process analysis.

Preprocessing of MRI datasets

  • DWI datasets were pre-processed using MRtrix.27 Fractional anisotropy (FA) and eigenvector maps were extracted.
  • Constrained spherical deconvolution was used to estimate the distribution of fiber orientations.
  • This is an optimal method relative to the diffusion tensor model, in areas with multiple crossing fibers.

Tractography

  • Conventional MRI scans were confirmed to be normal.
  • Tractography delineated all tracts in all participants, with the exception of 8 instances in which no streamlines were generated for the posterior segment of the AF (TD=4, DLD=1, DSD=3, DSLD=3).
  • Consistent with this finding, univariate analyses also revealed trends for a group difference and group by hemisphere effect for the CBT only.
  • Post-hoc tests showed that FA in the left CBT was significantly different between DSD and TD groups only (Bonferroni corrected p=.045).

Clinical presentation

  • The 4 groups were matched for demographic characteristics (Table 1).
  • Non-verbal IQ scores, although within the typical range, were lower in DLD children than in children with DSD as commonly reported in this group.
  • Children with DSLD had a more phonological presentation at age 4 but by age 9-11, at time of scanning, the majority of this group also had articulation errors.
  • Slightly more participants in the DSD (72%) than DSLD (64%) group had articulation errors at time of scanning.

DISCUSSION

  • The authors report the first association between developmental speech disorder and reduced FA of the left corticobulbar tract, suggesting atypical development of this tract may be a neural marker for DSD.
  • Altered connectivity of the left CBT has previously been associated with speech disorder in different childhood populations and disease models including childhood stuttering14 and dysarthria after childhood traumatic brain injury.
  • 10-12 Methodological approaches unique to this study represented important methodological strengths in the study of potential neural markers.
  • These included longitudinally-informed selection of participants from a community cohort, within a narrow age range, and co-varying for NVIQ.

AUTHOR CONTRIBUTIONS

  • AM, FL, SR, AC, GCR designed the research, supervised the data collection.
  • AM, FL, MS, AC, SR, GCR performed the research.
  • MS, FL analyzed and interpreted the MRI data.
  • AM, FL, LP, MS, SR, GCR analysed and interpreted the behavioural data.
  • All authors contributed to writing and revision of the final manuscript.

ACKNOWLEDGMENTS

  • The authors thank all participants and their families for their time and support.
  • The authors also thank J.-D.T. for helpful input regarding MRTrix, Lauren Pigdon (Murdoch Children’s Research Institute, Melbourne; nil relevant funding sources and nil conflicts of interest) for data collection and Shawna Farquharson (Florey Institute of Neuroscience and Mental Health Melbourne; nil relevant funding sources and nil conflicts of interest) and her team of radiographers for scanning participants.
  • AM, SR, and AC are grateful to the Operational Infrastructure Support Program of the State Government of Victoria for their support.

Did you find this useful? Give us your feedback

Citations
More filters
Journal ArticleDOI

[...]

TL;DR: A process-oriented approach to diagnosis and treatment planning of developmental speech disorders holds important advantages, offering direct leads for treatment aimed at the underlying impairment, tailored to the specific needs of the individual and adjusted to the developmental trajectory.
Abstract: Background Differential diagnosis and treatment planning of developmental speech disorders (DSD) remains a major challenge in paediatric speech-language pathology. Different classification systems exist, in which subtypes are differentiated based on their theoretical cause and in which the definitions generally refer to speech production processes. Accordingly, various intervention methods have been developed aiming at different parts of the speech production process. Diagnostic classification in these systems, however, is primarily based on a description of behavioural speech symptoms rather than on underlying deficits. Purpose In this paper, we present a process-oriented approach to diagnosis and treatment planning of DSD. Our framework comprises two general diagnostic categories: developmental delay and developmental disorder. Within these categories, treatment goals/targets and treatment methods are formulated at the level of processes and rules/representations. Conclusion A process-oriented approach to diagnosis and treatment planning holds important advantages, offering direct leads for treatment aimed at the underlying impairment, tailored to the specific needs of the individual and adjusted to the developmental trajectory.

25 citations

Journal ArticleDOI

[...]

TL;DR: Language, literacy and social-pragmatic deficits are common in males with Klinefelter syndrome, and data suggested a trend for more notable deficits with age and increasing academic and social demands.
Abstract: Background Speech and language deficits are frequent in males with Klinefelter syndrome (KS), yet the research base is slim and specific strengths and deficits in communication have not been well characterised. Nor have studies examined communication abilities across a wide age-range from infancy to adolescence. Objective To characterise communication in children and adolescents with KS. Method Twenty-six males, aged 1;1–17;4 years, took part in the study. Oromotor, speech, language, literacy and pragmatic abilities were assessed. Results Communication impairment was seen in 92% of cases (24/26), with salient findings being impairments in social-pragmatic language (15/18; 83%), language-memory (12/15; 80%) and literacy (13/17; 76%). Mild to severe receptive and expressive language deficits were common (16/23; 70%), although performance was varied across linguistic domains of semantics, syntax, and morphology. Oromotor impairment (21/21; 100%) and speech impairments were evident from preschool through to adolescence. Whilst speech was highly intelligible (22/26; 85%), articulation errors (12/26; 46%), phonological delay (12/26; 46%), phonological disorder (5/26; 19%) and dysarthria (2/23 8.7%) were observed. Other atypical, yet mild, speech features were noted such as hyponasality (16/23; 70%). Conclusions Language, literacy and social-pragmatic deficits are common in KS. Data suggested a trend for more notable deficits with age and increasing academic and social demands. We added novel data on the nature of speech production deficits, including persistent phonological errors in a number of cases. Earlier detection and intervention of phonological errors may reduce the risk for later language and literacy challenges and optimise academic, and ultimately social and behavioural difficulties later in life.

15 citations

Journal ArticleDOI

[...]

01 Apr 2019-Brain
TL;DR: Dorsal language stream is identified as a novel neural phenotype of developmental speech disorders, distinct from that reported in speech disorders associated with FOXP2 variants, and the data confirm the early role of this stream in auditory-to-articulation transformations.
Abstract: Speech disorders are highly prevalent in the preschool years, but frequently resolve. The neurobiological basis of the most persistent and severe form, apraxia of speech, remains elusive. Current neuroanatomical models of speech processing in adults propose two parallel streams. The dorsal stream is involved in sound to motor speech transformations, while the ventral stream supports sound/letter to meaning. Data-driven theories on the role of these streams during atypical speech and language development are lacking. Here we provide comprehensive behavioural and neuroimaging data on a large novel family where one parent and 11 children presented with features of childhood apraxia of speech (the same speech disorder associated with FOXP2 variants). The genetic cause of the disorder in this family remains to be identified. Importantly, in this family the speech disorder is not systematically associated with language or literacy impairment. Brain MRI scanning in seven children revealed large grey matter reductions over the left temporoparietal region, but not in the basal ganglia, relative to typically-developing matched peers. In addition, we detected white matter reductions in the arcuate fasciculus (dorsal language stream) bilaterally, but not in the inferior fronto-occipital fasciculus (ventral language stream) nor in primary motor pathways. Our findings identify disruption of the dorsal language stream as a novel neural phenotype of developmental speech disorders, distinct from that reported in speech disorders associated with FOXP2 variants. Overall, our data confirm the early role of this stream in auditory-to-articulation transformations. 10.1093/brain/awz018_video1 awz018media1 6018582401001.

14 citations

Journal ArticleDOI

[...]

TL;DR: Differences in language performance, white matter organization and structural lateralization of the language network were statistically analyzed and structural alterations might underlie the language impairment in children with DLD.
Abstract: This study aims to detect the neural substrate underlying the language impairment in children with developmental language disorder (DLD) using diffusion tensor imaging (DTI) tractography. Deterministic DTI tractography was performed in a group of right-handed children with DLD (N = 17; mean age 10;07 ± 2;01 years) and a typically developing control group matched for age, gender and handedness (N = 22; mean age 11;00 ± 1;11 years) to bilaterally identify the superior longitudinal fascicle, arcuate fascicle, anterior lateral segment and posterior lateral segment (also called dorsal language network) and the middle and inferior longitudinal fascicle, extreme capsule fiber system and uncinate fascicle (also called ventral language network). Language skills were assessed using an extensive, standardized test battery. Differences in language performance, white matter organization and structural lateralization of the language network were statistically analyzed. Children with DLD showed a higher overall volume and higher ADC values for the left-hemispheric language related WM tracts. In addition, in children with DLD, the majority (88%; 7/8) of the studied language related WM tracts did not show a significant left or right lateralization pattern. These structural alterations might underlie the language impairment in children with DLD.

10 citations

Journal ArticleDOI

[...]

TL;DR: The findings from this study suggest that this task is not a sensitive brain MRI marker for children with these disorders, unlike for individuals with single gene mutations like FOXP2 mutations.
Abstract: Developmental language disorder (DLD) and developmental speech disorder (DSD) are highly prevalent childhood conditions. An impaired ability to repeat nonsense words ("nonword repetition"), is claimed to be a robust behavioural marker for these conditions. Yet how brain function is altered during this task remains poorly understood. Previous research suggests that DLD or DSD may be associated with reduced brain activation in the inferior frontal and posterior temporal regions when compared to controls. However, this research is limited by within and between group variability in age, speech/language phenotype, and comorbidities. Here, we used functional MRI to examine brain activation during nonword repetition. As anticipated, behavioural findings confirmed that the DLD and DSD groups had poorer nonword repetition performance compared to typical controls. In contrast, fMRI revealed no statistically significant differences in brain activation, despite the groups appearing to engage slightly different regions when compared at identical thresholds. Therefore, whilst nonword repetition is a sensitive clinical marker for DLD and DSD, the findings from this study suggest that this task is not a sensitive brain MRI marker for children with these disorders, unlike for individuals with single gene mutations like FOXP2 mutations.

5 citations


Cites background from "A Brain Marker for Developmental Sp..."

  • [...]

References
More filters
Reference EntryDOI

[...]

07 Feb 2014

6,294 citations

Journal ArticleDOI

[...]

TL;DR: The introduction of a constraint on such negative regions is proposed to improve the conditioning of the spherical deconvolution, and this approach is shown to provide FOD estimates that are robust to noise whilst preserving angular resolution.
Abstract: Diffusion-weighted (DW) MR images contain information about the orientation of brain white matter fibres that potentially can be used to study human brain connectivity in vivo using tractography techniques. Currently, the diffusion tensor model is widely used to extract fibre directions from DW-MRI data, but fails in regions containing multiple fibre orientations. The spherical deconvolution technique has recently been proposed to address this limitation. It provides an estimate of the fibre orientation distribution (FOD) by assuming the DW signal measured from any fibre bundle is adequately described by a single response function. However, the deconvolution is ill-conditioned and susceptible to noise contamination. This tends to introduce artefactual negative regions in the FOD, which are clearly physically impossible. In this study, the introduction of a constraint on such negative regions is proposed to improve the conditioning of the spherical deconvolution. This approach is shown to provide FOD estimates that are robust to noise whilst preserving angular resolution. The approach also permits the use of super-resolution, whereby more FOD parameters are estimated than were actually measured, improving the angular resolution of the results. The method provides much better defined fibre orientation estimates, and allows orientations to be resolved that are separated by smaller angles than previously possible. This should allow tractography algorithms to be designed that are able to track reliably through crossing fibre regions.

1,618 citations

Journal ArticleDOI

[...]

TL;DR: This study proposes a novel method for estimating the fiber orientation distribution directly from high angular resolution diffusion-weighted MR data without the need for prior assumptions regarding the number of fiber populations present, assuming that all white matter fiber bundles in the brain share identical diffusion characteristics.
Abstract: Diffusion-weighted magnetic resonance imaging can provide information related to the arrangement of white matter fibers. The diffusion tensor is the model most commonly used to derive the orientation of the fibers within a voxel. However, this model has been shown to fail in regions containing several fiber populations with distinct orientations. A number of alternative models have been suggested, such as multiple tensor fitting, q-space, and Q-ball imaging. However, each of these has inherent limitations. In this study, we propose a novel method for estimating the fiber orientation distribution directly from high angular resolution diffusion-weighted MR data without the need for prior assumptions regarding the number of fiber populations present. We assume that all white matter fiber bundles in the brain share identical diffusion characteristics, thus implicitly assigning any differences in diffusion anisotropy to partial volume effects. The diffusion-weighted signal attenuation measured over the surface of a sphere can then be expressed as the convolution over the sphere of a response function (the diffusion-weighted attenuation profile for a typical fiber bundle) with the fiber orientation density function (ODF). The fiber ODF (the distribution of fiber orientations within the voxel) can therefore be obtained using spherical deconvolution. The properties of the technique are demonstrated using simulations and on data acquired from a volunteer using a standard 1.5-T clinical scanner. The technique can recover the fiber ODF in regions of multiple fiber crossing and holds promise for applications such as tractography.

1,394 citations

Journal ArticleDOI

[...]

TL;DR: This methodology is shown to provide superior delineations of a number of known white matter tracts, in a manner robust to crossing fiber effects, and has been compiled into a software package, called MRtrix, which has been made freely available for use by the scientific community.
Abstract: In recent years, diffusion-weighted magnetic resonance imaging has attracted considerable attention due to its unique potential to delineate the white matter pathways of the brain. However, methodologies currently available and in common use among neuroscientists and clinicians are typically based on the diffusion tensor model, which has comprehensively been shown to be inadequate to characterize diffusion in brain white matter. This is due to the fact that it is only capable of resolving a single fiber orientation per voxel, causing incorrect fiber orientations, and hence pathways, to be estimated through these voxels. Given that the proportion of affected voxels has been recently estimated at 90%, this is a serious limitation. Furthermore, most implementations use simple “deterministic” streamlines tracking algorithms, which have now been superseded by “probabilistic” approaches. In this study, we present a robust set of tools to perform tractography, using fiber orientations estimated using the validated constrained spherical deconvolution method, coupled with a probabilistic streamlines tracking algorithm. This methodology is shown to provide superior delineations of a number of known white matter tracts, in a manner robust to crossing fiber effects. These tools have been compiled into a software package, called MRtrix, which has been made freely available for use by the scientific community. © 2012 Wiley Periodicals, Inc. Int J Imaging Syst Technol, 22, 53–66, 2012 © 2012 Wiley Periodicals, Inc.

1,059 citations

Frequently Asked Questions (1)
Q1. What contributions have the authors mentioned in the paper "A brain marker for developmental speech disorder short title: a brain marker for developmental speech disorder" ?

This paper examined white matter connectivity in children with DLD, DSD and typically developing controls, using diffusion weighted imaging and tractography to examine structural brain connectivity in these conditions.