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Review

Grammar in Adults with Neurodevelopmental Disorders: A Scoping Review from the Last 10 Years

1
School of Health Sciences, University of East Anglia, Norwich NR4 7TJ, UK
2
Fondazione IRCCS, Ca’ Granda, Ospedale Maggiore Policlinico di Milano, 20100 Milan, Italy
*
Author to whom correspondence should be addressed.
Languages 2023, 8(4), 248; https://doi.org/10.3390/languages8040248
Submission received: 2 March 2023 / Revised: 8 October 2023 / Accepted: 9 October 2023 / Published: 23 October 2023
(This article belongs to the Special Issue Linguistics and Adults with Language Disorders: Modelling the Theory)

Abstract

:
Little is known of the trajectory of grammar in neurodevelopmental disorders (NDDs) once adulthood and language maturity are reached. Yet, impairments in grammar are reported in children with both communication NDDs, such as Developmental Language Disorder (DLD), and other NDDs, including ASD and ADHD. In the present study, we review studies collected in the last ten years on the grammar of adults with NDDs. Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines were applied. Included studies assessed sentence-level grammatical abilities through quantitative experiments on adults with a diagnosis of a developmental disorder. Out of 1550 contributions, 29 were selected. The studies included in the review showed that individuals with NDDs show a language deficit when compared to healthy adults. However, a lack of a unified approach to investigations of grammar prevents comparisons on the nature of the language disorder across NDDs, consequently highlighting the existence of a gap in knowledge. This gap must be filled to the benefit of speech pathologists and, ultimately, their patients.

1. Introduction

Grammatical skills in the adult speaker are investigated at great length when a traumatic event experienced in adulthood, such as stroke or brain injury, results in an interruption of some linguistic skills. When grammar is impaired, this condition is known as agrammatic aphasia (one of the many faces of aphasia, see Ardila 2010). Agrammatic aphasia is a diverse disorder with great individual variation, but it is generally understood to show some common patterns at the level of syntax (see Garraffa and Fyndanis 2020 for a review of findings), including difficulties both in the production and the comprehension of complex sentence structure (such as relative clauses and passives. Included but not limited to Caramazza and Zurif 1976; Caplan and Hanna 1998; Thompson 2003; Bastiaanse and van Zonneveld 2005; Caplan et al. 2007; Garraffa and Grillo 2008; Thompson and Choy 2009). Crucially, similar difficulties have also been reported in neurodegenerative conditions linked to dementia, including Primary Progressive Aphasia, Parkinson’s Disease, and Mild Cognitive Impairment (Thompson et al. 2013; Grossman et al. 2000; Kemmerer 1999; Lieberman et al. 1990; Troche and Altmann 2012; Colman et al. 2009; Dick et al. 2018; Longworth et al. 2005; Ullman et al. 1997; Zanini et al. 2010; López-Higes et al. 2012; Sung et al. 2020), suggesting a similar trend is in place despite different types of disorder. Little is known about the adult grammar of neurodevelopmental disorders (NDDs).
As they are defined in the DSM-V, NDDs are a group of conditions with onset in the developmental period. The disorders typically manifest early in a child’s life, often producing developmental deficits in several areas of the child’s life including personal, social, and academic functioning (American Psychiatric Association 2013). Language disorder is one of the conditions that the DSM-V identifies as being strongly connected with NDDs across the board, together with memory, motor skills, social skills, and emotion regulation. While grammar in children with NDDs, and communication NDDs in particular, has been the topic of much research in recent decades, little is known on the stage of cognitive maturity, which provides important indicators on the quality of the disorder.
In this scoping review, we will be investigating studies on grammar in adults with an NDD published in last decade. In the following sections, we will broadly review the main findings on grammar in children with NDDs, then we will present the studies selected that feature experimental investigations of grammar in adults with the same NDDs published in the last decade.

1.1. Grammar in Children with Neurodevelopmental Disorders

NDDs are disorders usually first diagnosed in infancy, childhood, or adolescence, that comprise different disorder types. The main disorder types as classified in the DSM-V are provided in Table 1.
Although language disorders are a class of NDD, some disorders of language are reported in any condition tapping into the cognitive functions ancillary to language. The need for systematic investigations of language in these disorders is therefore crucial, as expressed in the call for action by Rice et al. (2005)
One of the areas that seems to be most affected is that of pragmatics. Impairments in pragmatics have been reported for children with ADHD (Helland et al. 2016; Willcutt 2018), where they are as frequent as 80% of children with ADHD (Green et al. 2014), and for Autism Spectrum Disorders (ASD), for which they are in fact one of the defining characteristics (e.g., Baird and Norbury 2016; La Valle et al. 2020). Disorders in structural language (or grammar) were thought to be mainly limited to Developmental Language Disorder (DLD). Simplifying grossly, DLD is characterized by delays in different areas of language, especially in morphosyntax, that are likely to persist as they move through childhood (Bishop 2017; Leonard 2014; Rice et al. 2004; Tomblin et al. 2003). Children with DLD have been shown to perform worse than age-matched controls on tasks of sentence repetition (Archibald and Joanisse 2009; Conti-Ramsden et al. 2001; Stokes et al. 2006; among others), as well as on the production of specific grammatical phenomena (that Leonard and Kueser (2019) identify as those that include bare stems); prosodic challenges; gender and/or aspect; and deviations from canonical word order. These include, but are not limited to, tense marking, the production of pronouns, and the production of relative clauses (Wexler 1994; Rice and Wexler 1996; Bortolini et al. 2002, 2006; Leonard and Dispaldro 2013; Hamann et al. 2003; Jakubowicz et al. 1998; Garraffa et al. 2015, 2018; Abu Bakar et al. 2022). It is important to note that studies investigating grammar in DLD identify different patterns of accuracy but also of preferred structures (typically described as structurally simpler). For example, Contemori and Garraffa (2010) find that children with DLD who were elicited to produce relative clauses often divert to declarative clauses by omitting the relative complementizer and producing a sentence with no dependencies, as in Example 1.
(1)Target:Il bambinochepettinail re
The boythatcombsthe king
‘The boy that is combing the king(’s hair)’
Produced: Il bambino pettinail re
The boy combsthe king
‘The boy is combing the king(‘s hair)’
Disorders in structural language are defining of DLD, but they have also been reported in other NDDs. Developmental Dyslexia (DD) is a communicative learning disorder which is characterized by poor decoding and spelling abilities (Hulme and Snowling 2009; Lyon et al. 2003; Scarborough 1990). Phonological awareness, letter knowledge, verbal memory and non-word repetition are identified as good predictors of the presence of the disorder in young children (Lyytinen et al. 2004; Snowling et al. 2003; Van Alphen et al. 2004). Besides extensive phonological deficits, children with DD have been reported to have morphosyntactic deficits, for example when dealing with verb inflection (e.g., Joanisse et al. 2000; Vender et al. 2017; Melloni and Vender 2022), and syntactic deficits such as relative clauses, agreement operations and noncanonical word orders (e.g., Bishop and Snowling 2004; Talli et al. 2013; Wiseheart et al. 2009; Wilsenach 2006; Reggiani 2010). Grammatical difficulties have also been reported in autism, for example in production of pronouns and the application of specific syntactic operations (Kjelgaard and Tager-Flusberg 2001; Durrleman et al. 2016; Perovic et al. 2013; Durrleman and Delage 2016; Perovic et al. 2013; Prévost et al. 2017; Tuller et al. 2017; Terzi et al. 2016), ADHD (DaParma et al. 2011; Helland et al. 2012; van Lambalgen et al. 2008), and Down Syndrome (DS, Laws and Bishop 2004; Ring and Clahsen 2005; Levorato et al. 2009).

1.2. Purpose and Research Question

Very few studies have investigated the trajectory of language impairment into adulthood in developmental disorders prior to the last decade, with the exception of DLD, where the impairment has been reported to be carried into adulthood. This was the case in Johnson et al. (1999)’s longitudinal study, which shows that approximately 70% of adults who were identified as having a speech or language disorder in childhood continued to demonstrate below-normal language skills at a 14-year follow-up, and in several studies on adolescents and adults with DLD (Stothard et al. 1998; Snowling et al. 2000; Young et al. 2002; Durkin and Conti-Ramsden 2007; Tomblin 2008; Brizzolara et al. 2011; Johnson et al. 1999; Clegg et al. 2005; Whitehouse et al. 2009; Stuart and van der Lely 2015). Information on the linguistic trajectory of other NDDs is few and far between (Altmann et al. 2008; Abbeduto et al. 2003). The description of the linguistic profile of adults with an NDD is therefore far from clear, and several crucial questions remain open. As summarized in 1.1, data from children suggest that difficulties in grammar in NDDs are not limited to communication disorders or intellectual impairments, but it is unclear whether the same is true into adulthood, or whether language maturity bridges some gaps in what seems otherwise to be a cross-sectional disorder. This information is particularly relevant for clinical purposes, as speech and language therapy services may be required in adult individuals due to late diagnoses (as often happens in the case of ASD, Robison 2019) and to contrast the possible consequences of language impairment in the life of these individuals, ranging from high rates of unemployment to limitations forming and maintaining personal relationships (as evidenced in a systematic review by McCormack et al. 2009 and the literature therein). Secondly, it is unclear to what extent the language disorder at the level of grammar is similar across NDDs. On the one hand, a theoretical prediction could be made that communication disorders should present specific patterns compared to other NDDs; this should be the case specifically for DLD, which is, by definition, characterized by specific linguistic patterns. On the other hand, generalizations on grammatical abilities are hard to reach without systematic investigations, which have been seldom employed in the field. In this scoping review, we aim to explore the studies featuring analyses of grammar in adult NDD populations while attempting to answer the following questions: 1. Do adults with an NDD show a disorder of grammar across diagnoses? 2. Are similarities detectable in the grammatical profiles of adults with NDDs? Since the definition of NDDs and related conditions is greatly shaped in the clinical and academic community by the DSM, we will consider a timeframe of 10 years starting around the time of the publication of the latest version of the DSM-V (2012–2023).

2. Methods

This scoping review follows the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) (Moher et al. 2009) guidelines. The protocol for this review was published on PROSPERO (record number: CRD42022302802 on 13 January 2022, available at https://www.crd.york.ac.uk/prospero/display_record.php?ID=CRD42022302802).

2.1. Study Selection Process

For this review, database searches were conducted on the PsycInfo, Scopus, ERIC, Web of Science, Medline, and Embase databases. The research was conducted for the first time on 12 September 2021, and for the last time on 18 July 2023. Contributions written in English from 2012 onwards were searched, using the following search string: (“language impairment” OR “language disorder” OR “intellectual disability” OR “cognitive impairment” OR “autism” OR “down syndrome” OR “developmental disorder” OR “developmental delay” OR “communication disorder” OR “attention-deficit hyperactivity disorder” OR “learning disorder” OR “motor disorder”) AND (gramma* OR synta*) AND adult*. Searches included title, abstract, and keywords in all databases except Web of Science, where searches are run through all fields. Relevant references in the revised papers were also considered for inclusion to manually add any relevant paper. Studies were included if they: a. explicitly investigated grammatical competence; b. featured exclusively adults/young adults, or a mixed-age group with mean age > 16; or c. had a control group or normative data.
Citations were downloaded and exported to Mendeley, where duplicates were automatically removed. The authors independently screened each title and abstract using a priori inclusion/exclusion criteria, and meetings were held between the reviewers to result in 100% consensus. First, title and abstract were screened, and entries were retained for full text review if they met the inclusion criteria. These were read in their entirety to be evaluated for eligibility. Any disorder that fell under the category of a NDD was potentially included, as well as genetic disorders with comorbid intellectual disorder (which is an NDD).

2.2. Full Text Review and Data Extraction Process

Two authors (G.S. and B.B.J.) undertook full-text review and data extraction. Extracted data were registered in an electronic Microsoft Excel spreadsheet. Demographic characteristics including age, education, language, cognitive tools, and clinical diagnosis were noted, as well as the clinical phenotype. Assessment tools and specific criteria used to assess cognitive function were extracted. Assessment tools and designed ad hoc tasks for grammatical abilities were extracted. The following language-related data were noted: investigated language components, task methodology, and main outcomes. Two authors (G.S. and B.B. J.) independently evaluated the extracted data to assess whether to include or exclude each study following the aforementioned criteria. When they were not in agreement, a third author expressed their opinion.

2.3. Risk of Bias Management

To assess the scientific quality and risk of bias of the studies included in our review, the checklist for behavioural studies developed in de Beer et al. (2023) was adapted (Appendix A). The checklist has an overall score of 36. Studies were assigned a green light with a score of 75% or above (low risk of bias), a yellow light for a score of 51–75% (moderate risk of bias), and a red light for scores under 50% (high risk of bias). All papers included had a score above 85%.

3. Results

3.1. Study Selection and Outcomes Overview

Searches yielded 1546 entries, to which four entries were added manually, for a total of 1550. Following title and abstract screening and full-text review, 67 studies were selected as potentially meeting inclusion criteria. Study exclusion followed a three-step process. First, we excluded studies that were not relevant to the subject matter because they were either not on humans, not on language, or not on neurodevelopmental disorders (R1). Next, we excluded studies that did not feature adults or young adults (or with a mean age < 16 years), or did not have a control group (R2). Next, studies were excluded if they investigated areas of language other than grammar (i.e., investigations were word-level, or sentence-level pragmatics, semantics, or phonetics), or they were evaluations of assessments or interventions (R3). After full text screening, a further 38 studies were removed. Figure 1 illustrates the study selection process.
The following information was extracted from included studies: (a) authors, (b) title, (c) year, (d) disorder, (e) patient sample size, (f) patient demographics, (g) relevant clinical information, (h) type of task employed, and (i) outcome. A total of seven disorders were represented in the scoping review. Table 1 provides a summary of the featured disorders.
All studies reported data from samples where the mean age was >16. However, the age range of five studies started below 15 (Loveall et al. 2019; Sanoudaki and Varlokosta 2015; Durrleman et al. 2015; Bertho et al. 2014; Geelhand et al. 2020; Michael et al. 2012). Seven studies do not report the age range, but only standard deviation. Control groups are age-matched with adults, except for intellectual disability, the control group typically used in the literature is of children matched for either nonverbal intelligence and/or language.
All studies featured background cognitive measures. The most common IQ measures were the abbreviated version or subtests of the Wechsler Adult Intelligence Scale-III (Wechsler 1999) and the National Adult Reading Test (Nelson and Willison 1991), and digit ordering and digit spans for working memory. Most studies included background measures of general linguistic abilities. Frequently administered tests included naming and/or category fluency tests and receptive vocabulary tests, —the most common being the Peabody Picture Vocabulary Test (Dunn 1997) and the Boston naming test (Kaplan et al. 1983)—and sentence comprehension tests, most frequently (variations in) the TROG (Bishop 2003). Of the studies, 19 feature a specific linguistic task developed for the study, while others administer standardised batteries. Table 2 summarizes the information extracted for each study.
Participants with dyslexia reported a history of difficulty with reading and spelling (10th percentile or lower on a standardized text reading speed and comprehension test (Lesegeschwindig-keits- und Verständnistest für die Klassen 6–12 [LVGT 6–12]; (Schneider et al. 2007) and/or on a standardized spelling.

3.2. Grammar in Adults with NDDs

3.2.1. Communication Disorders

Studies on adults with DLD included in this review show mixed results. As part of a larger investigation, a measure of grammatical proficiency is extracted from the core language index of the CELF-4 for a large sample of adults with DLD in Botting (2020), where DLD participants are found to have significantly lower scores than their controls. A difference from controls was also found in written narratives in Suddarth et al. (2012), where participants produced written narratives elicited through picture sets. Different measures were analysed in the study, including the percentage of total verbs, total nouns, percentage of passives, and more. DLD participants were different from controls across all measures except total number of sentences and total number of words. In the second part of the study, where a second sample of participants was tested, only the measures with the most reliability were retained. Interestingly, with this analysis, only the number of errors produced in the written text was significant. It must be noted that what was categorised as “error” was not necessarily syntactic in nature, as errors of this kind (for example errors in verb tense) were accompanied by errors of punctuation, self-corrections, etc. Conversely, no difference between adults with DLD and healthy adults is reported in Poll et al. (2015) in a grammaticality judgement task (both accuracy and reaction times, RTs) and in a comprehension task following self-paced reading as well as in accuracy in a sentence-picture matching task in Hall et al. (2019). Here, adults with DLD were compared to healthy adults on sensitivity to verb cues in PP attachment disambiguation (modifier or instrumental reading). PP attachment was cued by verb meaning in a sentence–picture matching task (e.g., the elephant pokes the camel with the feather has a modifier reading given by the meaning of the verb to poke). While accuracy was similar between groups, however, online sensitivity to verb cues as measured by mouse curvature was lower in adults with DLD.
All studies included on dyslexia (developmental dyslexia, DD) show a group difference with healthy controls across different tasks. In Wiseheart and Altmann (2018), participants completed a general language battery which contained a measure of grammar in a constrained sentence-production task where three-word stimuli (a verb in the past participle and two nouns) were given. Adults with DD were found to be considerably less precise as well as slower in RTs than controls in producing grammatical sentences. The grammatical operation of agreement, and S-V agreement in particular (e.g., the child.SG is.SG/*are.PL playing), was tested in Cantiani et al. (2013a, 2013b) and Canette et al. (2020). Cantiani and colleagues utilised a grammaticality judgement task on Italian. In the 2013a study, participants with DD were less accurate than controls in detecting ungrammatical sentences. In the 2013b study, where acoustic salience of the verbal inflection was manipulated, participants with DD were slower than controls, but not significantly less accurate. S-V agreement was also investigated in French DD participants in Canette et al. (2020), where accuracy was considerably worse in DD than in control participants. In Stella and Engelhardt (2019), adults with DD were tested on a garden-path reading task with optionally transitive and reflexive verbs (e.g., While Susan wrote the letter that was long and eloquent fell off the table, optionally transitive (to write)). DD participants were overall less accurate than controls, showing below-chance performance on most conditions. The eye-tracking measures showed DD had longer first pass reading times, overall higher reading times, and an interaction between sentence structure and reading time. Morphological abilities were measured in adults with DD in Schiff and Ravid (2013) with a task on person agreement on nouns and adjectives in Hebrew, where participants were asked to produce plural morphology on stems. Participants with DD were worse in producing the correct morphology in both conditions and were also slower than controls.

3.2.2. ADHD and ASD

Most studies included report adults with ADHD and ASD to have lower accuracy and less complex grammar compared to controls. In Schiff et al. (2015), ADHD and typical participants were compared on a Truth Value Judgement Task with sentences with Noun–Adjective agreement violations on plural morphology in Hebrew, with manipulation on suffix regularity (high to low) and syntactic position of the adjective (attributive initial, attributive final, predicative). The ASD participants were less likely to follow prosodic, but not morphosyntactic cues to produce licit sentences. ADHD participants were less accurate than controls and were more likely to show a decrease in performance as suffix regularity diminished and adjective position changed. Sensitivity to S-V agreement morphology was explored in Martzoukou et al. (2017), were ASD participants were compared to controls in a sentence completion task featuring ambiguous (subject/object) NP readings in Greek (e.g., While (s)he was sewing the buttons/((s)he)) slipped on the floor) which are resolved at the level of the verb (slipped bearing either singular or plural morphology). Complex structures were investigated in Engelhardt et al. (2012) and Durrleman et al. (2015). In Engelhardt et al. (2012), three ADHD groups (ADHD primarily attentive, ADHD combined, ADHD remitted) were found to be worse than controls in the primed production of (active and) passive sentences, with ADHD remitted being the significantly lowest performers. In Durrleman et al. (2015), adults with ASD were significantly less likely to reach ceiling than controls on a sentence comprehension task featuring different types of relative clauses. The narrative abilities of adults with ASD were investigated in Geelhand et al. (2020, 2021) and in Lee et al. (2018). Geelhand et al. (2020, 2021) employed parts of the ADOS-2 battery (Lord et al. 2012) and coded results for specific measures of grammar, including the number of syntactic units and number of incomplete dependencies. Differences between groups were significant across the board, with ASD participants showing fewer syntactic units, more incomplete dependencies, fewer adjuncts, and so on. Similar results were found in Lee et al. (2018), where individuals with ASD produce significantly fewer coordinate and adverbial clauses and ‘complex syntax’ than controls on a picture-story description task. Narrative abilities of adults with ADHD were investigated in Miranda et al. (2013) and were found to produce more morphosyntactic errors and fewer subordinates than controls in a written narrative task.

3.2.3. ID

Studies on adults with an ID were mostly on adults with Downs Syndrome (DS) or Williams Syndrome (WS). It must be noted that, unlike the studies seen so far, comparison groups for ID are mostly mental-age-matched children. This is because there is a general consensus that the behavioural phenotype associated with ID is one of cognitive delay and difficulties in expressive language that are not consistent with the chronological age of the individuals (see Chapman and Hesketh 2000). All studies report a difference between individuals with an ID and controls.
In Christodoulou and Wexler (2016), adults with DS are tested on a series of tasks eliciting case production in Greek, and in Christodoulou and Wexler (2023) on copula omission. DS showed higher levels of copula omission than controls, and accuracy in case production was lower in DS than in controls. As pointed out by the authors, however, significance was likely due to ceiling effects. In Sanoudaki and Varlokosta (2015), DS participants were compared to vocabulary-matched child controls on the interpretation of reflexive pronouns in Greek using sentence matching tasks, where children are asked to select the correct picture for a sentence containing a pronoun (e.g., the princess is touching herself). Accuracy was lower in DS adults. Interestingly, this was not the case for the control object pronoun condition (e.g., the princess is touching her), which might signal the presence of a specific morphosyntsactic problem and not just a pragmatic one (see, for instance, Terzi et al. 2016). Perovic and Wexler (2019) tested the comprehension of passive clauses in six adults with DS and six with WS. In this study, a significant effect of group was found in DS vs. controls but not WS vs. controls. Michael et al. (2012) employed a series of tasks including a grammaticality judgement task with sentences containing illicit and licit argument omissions, where DS participants were less accurate than controls in detection of grammaticality. In Altman et al. (2022), participants with ID had lower grammaticality scores in the MAIN narrative task (Gagarina et al. 2012). Narrative abilities of adults with DS are investigated in Loveall et al. (2019), Michael et al. (2012), and Martzoukou et al. (2020). DS participants use fewer verbs, have lower verb type-token ratio, shorter MLU, and generally lower scores on microstructure values compared to controls across the board.

4. Discussion

In this scoping review, we collected the results of studies from the last 10 years that contained measures of grammar in adults with an NDD. Our first aim was to check whether grammatical abilities of individuals with NDDs were found into adulthood. Results presented suggest that adults with a NDD generally show lower accuracy and grammatical completeness compared to healthy controls in elicited and narrative production, comprehension, and in grammaticality judgement, as confirmed by most of the studies featured, which present an effect of group across the board. Adults with a diagnosis of NDD are considerably less accurate than healthy controls on comprehensive assessments of language, which include measures of grammar as well as on experiments testing finer-grained grammatical competence. The results are mostly consistent across disorders as well as across tasks. This is true across studies using grammatical assessments, studies with an outcome of accuracy on tasks designed for the study, which were mostly Grammaticality Judgement Tasks, and studies employing narrative tasks. The abilities tested where adults with NDDs are worse than controls range from identification of syntactic violations, mostly on S-V agreement, and the production of sentences of increased syntactic complexity. Therefore, individuals with an NDD seem to carry some form of grammatical disorder found in children into adulthood, suggesting this is not a stage that children with an NDD overcome with age, but rather, to some extent, a characteristic of the disorders, such as avoidance of complex structures, and lower accuracy on some grammatical operations such as agreement. Another question that was raised in the present review was whether there were qualitative similarities in the grammatical profiles of adults with NDDs across different disorders. The results described above are found in communication disorders, in genetic disorders that are typically co-morbid with IDs, such as Down Syndrome, as well as in NDDs that are not specifically linguistic in nature, such as attention disorders.
If true, this finding would have crucial implications for both the clinical diagnosis and the description of the disorders, and for speech and language therapy. However, a crucial point that emerges is that studies exploring grammar in NDDs are still very inconsistent in the outcomes measured and the methodologies employed. Language abilities of neurodiverse adults are sometimes investigated with the employment of standardized assessments of language (2 out of the 29 studies). Although these are important tools for clinicians, as they are designed to detect language disorders, they encounter issues of construct validity (see Aryadoust 2023 for a recent account). Narrative tasks, on the other hand, have great potential for exploring different patterns among participants, and they are employed in several studies on grammar for this very purpose (particularly in aphasia, Saffran et al. 1989; Schwartz et al. 1994; Marini et al. 2011). They are also used consistently in speech and language therapy practice, where language sample analysis is frequently used as the gold standard measure of communicative competence (Miller et al. 2016). However, the procedure for the analysis of discourse differs across studies, from productivity (verb count, MLU) to different approaches to the measurement of sentence complexity, making them once again hard to compare. A similar point can be made for Grammaticality Judgement Tasks that, rather than measures of grammatical abilities, have been proposed to be a measure of metalinguistic awareness (see Marshall and Morton 1978; Tunmer and Herriman 1984 for seminal works in this area1). Other methodologies that are known to be useful to investigate grammatical abilities are virtually absent from this scoping review. These include sentence repetition and syntactic priming (Rujas et al. 2021; Garraffa and Smith 2022).
Another point we can note is that level of education is often not reported for the participants featured in this review. However, level of education is a factor which is at the very least suggested to be associated with the cognitive functions related to language and language abilities (Opdebeeck et al. 2016; Lövdén et al. 2020), and should therefore be considered as a factor when matching adults with NDDs with controls.
Of the studies exploring sentence comprehension or production in a controlled setting (elicitation, priming, or comprehension), there is little convergence on the structures investigated, with structures varying from PP attachment to N-Adj agreement to structures like passive and relative clauses, which are more utilized in studies investigating grammatical complexity because of their known effects even in typically developing children (e.g., Durrleman et al. 2017; Ambridge et al. 2021 on passives; Novogrodsky and Friedmann 2006; Contemori and Garraffa 2010 on relative clauses; Moscati et al. 2020; Rispens and Been 2007 on agreement and many more). Studies are also across different languages, but are not sufficiently similar in methodologies for cross-linguistic comparisons, and are too few for language-specific considerations.
Another point that makes comparisons impossible in the current literature is that very few of these direct comparisons exist in the literature itself: only four of the studies contain more than one profile of NDD. Therefore, despite the interest in neurodevelopmental disorders which has arisen in recent decades, and the call for a systematic investigation of grammar in NDDs in the seminal paper by Rice et al. (2005), little progress has been made in theory-driven systematic investigations that would allow us to describe the differences and similarities in the grammatical profile of different disorders.

5. Conclusions

The topic of grammar abilities in neurodiversity has gained considerable momentum in the last decade, but only a few studies explore the trajectory of language development in these individuals, and the picture of grammatical difficulties in neurodevelopmental conditions is still underdefined. In this scoping review, we collected recent studies that aimed to bridge this gap in scientific knowledge published in the last 10 years, approximately from the publication of the latest version of the DSM. The studies collected overwhelmingly find individuals with an NDD to have a persistent difficulty in language even in adulthood when compared to healthy adults. This finding is crucial for clinical purposes, since it suggests that a disorder of grammar in NDD is not simply a product of language delay. Unlike studies in aphasiology, however, where methodologically rigorous approaches to the investigation of grammatical abilities have been adopted systematically, it is clear from this scoping review that no unified approach to research on grammar in adults with an NDD exists. For this reason, while this scoping review reveals the existence of a language disorder across the board, it is still not possible to make clear assumptions on how similar the language of adults with different NDDs really is. This review has revealed the presence of a pocket of research that needs to be addressed. More studies are needed that consistently and coherently test similar structures across disorders as well as across the individuals’ lifespan.

Funding

This research received no external funding.

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

Not applicable.

Conflicts of Interest

The authors declare no conflict of interest.

Appendix A

Table A1. Checklist for assessment of bias (adapted from de Beer et al. 2023).
Table A1. Checklist for assessment of bias (adapted from de Beer et al. 2023).
SectionItemScore (1/0)
abstractsummary of the study
introductionissue under analysis
introductioncurrent scientific knowledge
introductiongaps in that knowledge base
introductionpurpose/aims of the study
introductionresearch question
introductionhypotheses
methodidentification of the design
methodinclusion exclusion criteria
methodmethod of recruitment
methoddemographics
methodclinical information
methodsample size
methodparticipant groups
methodcharacteristics of the procedure
methodlocation it was conducted
methoddescription of tasks
methodreasonable justification of methods
methodethics
methodinformed consent
methoddefinition of target behaviours and outcome measures
methodclear description of any equipment
methodclear description of any materials
methodnumber of items in testing material
methodcareful description of linguistic material
methoddescription of grammatical analyses
methodgrammatical analyses
methoddescription and justification of all statistical methods used
resultsfor each group, results
resultsresults of any other analyses
discussionsummary of findings and interpretation of the results in the context of current evidence
discussioninterpretation consistent with results
discussiondiscussion of limitations
discussiondiscussions of applicability and implications or future research
funding and registrationsources of funding
funding and registrationregistration number
total x/36

Note

1
We thank our anonymous reviewer for this observation.

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Figure 1. PRISMA flow diagram displaying the study selection process (adapted from Page et al. 2021). R1 to 3 are described in Section 3.1.
Figure 1. PRISMA flow diagram displaying the study selection process (adapted from Page et al. 2021). R1 to 3 are described in Section 3.1.
Languages 08 00248 g001
Table 1. Neurodevelopmental disorder classification according to the DSM-V (American Psychiatric Association 2013).
Table 1. Neurodevelopmental disorder classification according to the DSM-V (American Psychiatric Association 2013).
NDDDefinition
Intellectual disabilitiesSignificant limitations in both intellectual functioning and adaptive behaviour. Typically comorbid with other disorders, including genetic disorders (Down Syndrome, Fragile X syndrome).
Specific learning disorderDifficulties in reading, writing, maths. These include dyslexia, dysgraphia, and dyscalculia.
Communication disorderSignificant problems with processing, comprehending, and sending communicative symbols. They include language disorder, speech sound disorder, and social communication disorder.
Autism Spectrum DisorderDeficits in social communication and interaction, nonverbal communicative behaviour, and in social relationships.
Attention-deficit/Hyperactivity DisorderPersistent pattern of inattention and/or impulsivity and hyperactivity.
Motor disorders Presence of tic disorders of a motor and/or vocal nature. These encompass Tourette’s disorder, Developmental Coordination Disorders, and so on.
Table 2. Synopsis of data extracted from the selected papers. ID = intellectual disorder. WS = Williams Syndrome. DLD = Developmental Language Disorder. DD = Developmental Dyslexia. DS = Down Syndrome. ASD = Autism Spectrum Disorder. ADHD = Attention-Deficit/Hyperactivity Disorder. MA = Mental-age matched. NSp = not specified. RT = reaction time. NS = not significant. * = significance 0.0 ** = significance 0.00. *** = significance < 0.001.
Table 2. Synopsis of data extracted from the selected papers. ID = intellectual disorder. WS = Williams Syndrome. DLD = Developmental Language Disorder. DD = Developmental Dyslexia. DS = Down Syndrome. ASD = Autism Spectrum Disorder. ADHD = Attention-Deficit/Hyperactivity Disorder. MA = Mental-age matched. NSp = not specified. RT = reaction time. NS = not significant. * = significance 0.0 ** = significance 0.00. *** = significance < 0.001.
Reference (Authors, Year)DisorderRelevant Clinical InformationSample Size (Controls)Age in Years (SD)Edu in Years (SD)TasksLanguage(s) TestedPrimary Outcomes of GrammarGroup Differences
(Altman et al. 2022)ID 17
(16)
41.65 (8.85)
24.87 (1.82).
NSp
(University)
Narrative task (MAIN)EnglishNumber of produced sentences
Number of clauses per sentence
Grammaticality
Number of produced sentences *
Grammaticality **
Number of clauses per sentence NS
(Bertho et al. 2014)WSWS participants were positive on the FISH test for elastin deletion.18
(18 MA
18)
21.10 (4.6).
11.2 (3.1)
21.10 (4.7)
Grammaticality judgment task (tense agreement, person agreement, verb morphology, etc.)FrenchAccuracy in grammatical vs. ungrammaticalAccuracy vs. CA controls ***
Accuracy vs. MA controls ***
(Botting 2020)DLD 83
(86)
24 (NSp) Clinical evaluation of Language Fundamentals (CELF-4)EnglishCore Language IndexCore Language Index ***
(Canette et al. 2020)DDAll dyslexic participants had developmental dyslexia and reported having seen a speech therapist for the diagnosis and for training sessions designed to reduce reading difficulties for at least two years during childhood.13
(13)
23.2 (2.95)
22.5 (2.07)
14.92 (1.55)Grammaticality judgment (S-V agreement)FrenchAccuracy in grammatical vs. ungrammaticalAccuracy ***
Interaction between grammaticality and group at trend
(Cantiani et al. 2013a)DDParticipants with dyslexia reported a history of difficulty with reading and spelling (10th percentile or lower on a standardized text reading speed and comprehension test (Lesegeschwindig-keits- und Verständnistest für die Klassen 6–12 [LVGT 6–12]; Schneider et al. 2007) and/or on a standardized spelling.17
(17)
24.02 (2.97)
24.31 (2.85)
NSGrammaticality judgment (S-V agreement with manipulation of the acoustic salience of the verbal inflection) ItalianAccuracy
RT
Accuracy NS
RT **
(Cantiani et al. 2013b)DDParticipants with DD had been referred to the Unit of Cognitive Psychology and neuropsychology because of learning difficulties during childhood and had been diagnosed as dyslexics based on standard inclusion and exclusion criteria (normal IQ, reading scores below 2 SD with respect to age norms, absence of neurological and sensoneural disorders, inadequate schooling and sociocultural opportunity) by an expert clinician using ICD-10 (World Health Organization 1992).16
(16)
22.67 (2.29)
22.36 (3.48) (NSp)
14.06 (2.74)ERP during Grammaticality judgment (S-V agreement)ItalianAccuracy in grammatical vs. ungrammaticalOverall accuracy *
Ungrammatical sentences *
Grammatical sentences NS
(Christodoulou and Wexler 2016)ID and DSDown syndrome (trisomy 21) and moderate mental disability (Raven’s IQ test).15
(15 MA)
19–45
7–8
NSpTask of elicited production, imitation production, free elicitation, act out, narratives oh phonology, phonetic and syntactic levelGreekAccuracy case productionNominative case production **
Production matching target for accusative **
Production matching target for genitive **
(Christodoulou and Wexler 2023)DSDown syndrome (trisomy 21) and moderate mental disability (Raven’s IQ test).15
(15 MA)
19–45
7–8
NSpElicitation task of copula productionGreekCopula omission
Copula accuracy
Copula omission **
Copula accuracy NS
(Durrleman et al. 2015)ASDDiagnosed with ASD according to DSM-IV-TR criteria
(American Psychiatric Association 2000) as well as ADOS-G (Lord et al. 1994).
18
10 with LI
(28)
21.8 (7.8)
21.11 (7)
22.07 (7)
NSpSentence-picture matching task (relative clauses)FrenchAccuracy Accuracy vs. controls ***
Accuracy ASD with LI vs. ASD without LI **
(Engelhardt et al. 2012)ADHDAdult who had had ADHD but no longer met the DSM-IV diagnostic criterion and adult who still met the diagnostic criteria for ADHD.44
21 remitted
(20)
22.91 (3.82)
24.14 (4.94)
23.60 (4.99)
NSpSentence production task (active and passive)EnglishNumber of ungrammatical sentences ADHD “remitted” vs. ADHD *
ADHD “remitted” vs. control *
(Geelhand et al. 2020)ASDClinical diagnosis of ASD was confirmed by a research-accredited ADOS assessor using Module 3 or 4 of the ADOS-2.18
(18)
28.90 (11.80)
28.79 (11.84)
NSpNarrative task (ADOS-2)FrenchNumber of words
Number of syntactic sequences
Number of syntactic unit
Number of incomplete dependencies clauses
Number of words ***
Number of syntactic sequences *
Number of syntactic unit **
Number of incomplete dependencies clauses **
(Geelhand et al. 2021)ASDClinical diagnosis of ASD was confirmed by a research-accredited ADOS assessor using Module 3 or 4 of the ADOS-2.12
(12)
34.71 (12.71)
36.56 (10.87)
NSpSemi-structured tasks, friends, Relationships, and Marriage and Solitude administered during the standard procedure of the ADOS-2FrenchNumber of words
Number of syntactic sequences
Number of syntactic unit
Number of discourse-structuring devices
Number of adjunct
Number of BDU (basic discourse units)
Number of silent-BDU
Number of words ***
Number of syntactic sequences ***
Number of syntactic unit ***
Number of discourse-structuring devices **
Number of adjunct **
Number of BDU **
Number of silent-BDU **
(Hall et al. 2019)DLD 17
(16)
20.7 (1.1)
21.0 (1.9)
13.9
14.1
Sentence processing with mouse tracking (PP attachment)EnglishAccuracy of comprehension
Sensitivity to verb bias
Accuracy NS
Sensitivity to verb bias *
(Lee et al. 2018)ASDPrevious clinical diagnosis confirmed by administration of the Autism Diagnostic Observation Schedule (ADOS) and/or the Autism Diagnostic Interview–Revised (ADI-R).19
(14)
24.22 (9.48)
19.11 (2.20)
NSpStorytelling assessment from the Thematic Apperception TestEnglishNumber of words
Use of complex syntax
Use of coordinate and adverbial clause
Number of words *
Use of complex syntax **
Use of coordinate and adverbial clause ***
(Loveall et al. 2019)DS, IDSchool classification or clinical
diagnosis of ID.
35
27
(29)
15.83 (2.91) 16.07 (2.49)
5.24 (0.72)
NSpPicture-story description taskEnglishVerb density
Verb type-token ratio
Lexical verb density
Verb diversity
Lexical verb diversity
Lexical verb TTR
Verb density DS vs. TD *
Verb type-token ratio DS vs. ID *
Lexical verb density DS vs. TD *
Verb diversity NS
Lexical verb diversity NS
Lexical verb TTR NS
(Martzoukou et al. 2017)ASD 20
(20)
29.8 (10.7)14.25 (2)Sentence completion task (subject/object NP ambiguity)GreekAccuracy
RT
Prosodic cue sensitivity
Accuracy
Prosodic cues *
RT ***
(Martzoukou et al. 2020)DS 20
(20 MA
20 verbal ability level matched)
28.2
4.2
5.10
NSpStory telling task (LITMUS-MAIN tool first two stories)GreekMicrostructure variable (content words, function words, MLU, adverbial clauses, relative clauses, complement clauses)
sentence repetition task
comprehension questions
DS vs. TD verbal ability level matched
microstructure variable ***
comprehension questions **
DS vs. controls
Sentence repetition task ***
(Michael et al. 2012)DS 9
(9 receptive vocabulary aged matched)
18.9 (NSp)
6.1 (NSp)
NSp1st PPVT–4,a digit-span task, a
word-span task, a sentence-repetition task, a single word-
naming task, and the hearing screening.
2nd a digit-span task that required, nonverbal response, a word-span task with nonverbal
response, a spatial-memory task, a single-word comprehension
task, a grammaticality judgment task, and a narrative task
EnglishNoun comprehension task
Verb comprehension task
Noun naming task
Verb naming task
Target sentences containing verbs ((Narrative)
Obligatory argument structure
Noun comprehension task NS
Verb comprehension task NS
Noun naming task NS
Verb naming task NS
Target sentences containing verbs (Narrative) *
Grammaticality judgment *
obligatory argument structure **
(Miranda et al. 2013)ADHDADHD clinically diagnosed in childhood.26
(26)
18–24 (NSp)NSpComposition of a written narration based on short story number 11, “Shark”, from the WAIS III (Wechsler 1999).SpanishN. of different words
Mean length of T-unit
Subordinate clauses
Morphosyntactic errors
Type–token ratio
Total story grammar
N. of different words *
Mean length of T-unit *
Subordinate clauses *
Morphosyntactic errors *
Type–token ratio NS
Total story grammar *
(Perovic and Wexler 2019)WS, DS 6
6
(6)
38, 30 (NSp)
3
4.6
NSpSentence-picture matching task (passive clauses) Accuracy Accuracy DS **
Accuracy DS vs. WS **
Accuracy WS vs. controls NS
(Poll et al. 2015)DLDParticipants were classified as SLI with a positive history of language difficulties and scores in the affected range on language ability tests. Reported language difficulties were either a prior diagnosis of SLI (14 cases from the Iowa registry) or difficulties with reading comprehension (four cases) or spoken grammar (two cases).20
(23)
22.5 (2)
21.5 (1.8)
13.1 (1.1)
14.5 (0.9)
Truth value judgment task (active, passive, compound subject structures)EnglishAccuracy
RT
Accuracy NS
RT NS
(Poll et al. 2015)DLDIndividuals in the group with DLI reported a history of language difficulties (prior diagnosis of DLI (14), difficulties with reading comprehension (4) or spoken grammar (2)). 21 (22 age-matched CA) Self-paced listening task (noun argument vs. verb adjunct processing)EnglishAccuracy on comprehension questions
RT
RT NS
(Sanoudaki and Varlokosta 2015)DSCognitive abilities ranging from average to high (with regard to the range typical for this clinical population)14
(14 productive vocabulary matched)
20.02 (7.6)
5
NSpSentence-picture matching task (pronouns)GreekAccuracy in:
Clitic condition
Reflexive condition
Reflexive with two nouns condition
Control condition
Clitic condition NS
Reflexive condition **
Reflexive with two nouns condition NS
Control condition NS
(Schiff and Ravid 2013)DDDyslexia assessed 3 years prior to attending university or while attending university30
(30
30 6th graders)
23.5 (1.83)
12.4 (3.2)
NSp (University)
6
Morphological production task (noun-adjective pluralization)HebrewAccuracy of noun plurals and adjective agreement
RT
Noun plurals *
adjective agreement *
RT *
(Schiff et al. 2015)ADHDDiagnosed by university disability service35
(36)
26.67 (7.46)
25.82 (5.32)
NSp (University)Grammaticality judgment task (noun-adjective agreement)HebrewAccuracy in grammatical vs. Ungrammatical
RT
Accuracy **
RT **
(Slocombe et al. 2013)ASAll participants were previously diagnosed by a clinical psychologist, psychiatrist or paediatrician following an evaluation of communication, reciprocal social interactions and repetitive behaviours. No participant had received a clinical diagnosis of a co-morbid behavioural or motor disorder.17
(17)
26.41 (9.08)
22.25 (2.70)
NSp
NSp
Syntactic alignment task
Lexical and Frame of Reference
Alignment Task
EnglishPercentage of syntactic alignment-the percentage of trials
where the participants used the same sentence structure as the immediately previous prime.
Syntactic and lexical alignment NS
(Stella and Engelhardt 2019)DDSelf-reported dyslexia.50
(50)
24.7 (5.1)
20.7 (3.1)
NSp (University)Sentence comprehension with eye tracking (temporary syntactic ambiguity)EnglishAccuracy with ambiguous and unambiguous sentences
Reading Times
Accuracy ambiguous sentences **
Accuracy unambiguous sentences **
RT **
(Suddarth et al. 2012)DLDAssessment of language impairment through standardized tests.Study 1
30
(30)
Study 2
48
(29)
25.3
24.4
22.4
27.4
12.7
13.1
Written Narrative Elicitation taskEnglishNumber and percentage of words and sentencesStudy 1
number of words NS
percentage of total verbs ***
percentage of one-part verbs ***
verb phrase ellipses ***
percentage of total nouns **
percentage of passives *
Total number of sentences NS
Number of errors *
Study 2
number of words NS
percentage of total verbs NS
percentage of one-part verbs NS
Number of errors ***
(Wiseheart and Altmann 2018)DDParticipants both with formal diagnosis and life-long difficulties with reading and writing but no formal diagnosis.23
(28)
16–28 (NSp)NSp (university)General language battery including sentence formulation from 3-word stimuli (different verb type with animate and inanimate noun)EnglishAccuracy with all type of verbs
RT
Accuracy ***
RT ***
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Smith, G.; Janetti, B.B.; Sarin, M.; Garraffa, M. Grammar in Adults with Neurodevelopmental Disorders: A Scoping Review from the Last 10 Years. Languages 2023, 8, 248. https://doi.org/10.3390/languages8040248

AMA Style

Smith G, Janetti BB, Sarin M, Garraffa M. Grammar in Adults with Neurodevelopmental Disorders: A Scoping Review from the Last 10 Years. Languages. 2023; 8(4):248. https://doi.org/10.3390/languages8040248

Chicago/Turabian Style

Smith, Giuditta, Benedetta Bianchi Janetti, Megha Sarin, and Maria Garraffa. 2023. "Grammar in Adults with Neurodevelopmental Disorders: A Scoping Review from the Last 10 Years" Languages 8, no. 4: 248. https://doi.org/10.3390/languages8040248

APA Style

Smith, G., Janetti, B. B., Sarin, M., & Garraffa, M. (2023). Grammar in Adults with Neurodevelopmental Disorders: A Scoping Review from the Last 10 Years. Languages, 8(4), 248. https://doi.org/10.3390/languages8040248

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