The validity of psychiatric diagnoses: the case of 'specific' developmental disorders

Language abilities in children and adolescents with DLD and ADHD: A scoping review

PURPOSE

There is an emerging view that attention-deficit/hyperactivity disorder (ADHD) is marked by problems with language difficulties, an idea reinforced by the fact that ADHD is highly comorbid with developmental language disorder (DLD). This scoping review provides an overview of literature on language abilities in children with DLD and ADHD while highlighting similarities and differences.

METHOD

A comprehensive search was performed to examine the literature on language abilities in the two disorders, yielding a total of 18 articles that met the inclusion criteria for the present review. Qualitative summaries are provided based on the language domain assessed.

RESULTS

The current literature suggests children and adolescents with ADHD have better morphosyntax/grammar, general/core language abilities, receptive, and expressive abilities than those with DLD. Further, that performance is comparable on assessments of semantic and figurative language but varies by sample on assessments of phonological processing, syntax, narrative language, and vocabulary.

CONCLUSION

Evidence presented points to children and adolescents with DLD as having greater language difficulties compared to those with ADHD, but with some important caveats. Despite limitations related to the paucity of studies and inconsistencies in how the two types of disorders are identified, our review provides a necessary and vital step in better understanding the language profiles of these two highly prevalent childhood disorders. These findings are useful in optimizing language outcomes and treatment efficacy for children and adolescents with ADHD and DLD.

Explicit Instructions Do Not Enhance Auditory Statistical Learning in Children With Developmental Language Disorder: Evidence From Event-Related Potentials

A current issue in psycholinguistic research is whether the language difficulties exhibited by children with developmental language disorder [DLD, previously labeled specific language impairment (SLI)] are due to deficits in their abilities to pick up patterns in the sensory environment, an ability known as statistical learning (SL), and the extent to which explicit learning mechanisms can be used to compensate for those deficits. Studies designed to test the compensatory role of explicit learning mechanisms in children with DLD are, however, scarce, and the few conducted so far have led to inconsistent results. This work aimed to provide new insights into the role that explicit learning mechanisms might play on implicit learning deficits in children with DLD by resorting to a new approach. This approach involved not only the collection of event-related potentials (ERPs), while preschool children with DLD [relative to typical language developmental (TLD) controls] were exposed to a continuous auditory stream made of the repetition of three-syllable nonsense words but, importantly, the collection of ERPs when the same children performed analogous versions of the same auditory SL task first under incidental (implicit) and afterward under intentional (explicit) conditions. In each of these tasks, the level of predictability of the three-syllable nonsense words embedded in the speech streams was also manipulated (high vs. low) to mimic natural languages closely. At the end of both tasks' exposure phase, children performed a two-alternative forced-choice (2-AFC) task from which behavioral evidence of SL was obtained. Results from the 2-AFC tasks failed to show reliable signs of SL in both groups of children. The ERPs data showed, however, significant modulations in the N100 and N400 components, taken as neural signatures of word segmentation in the brain, even though a detailed analysis of the neural responses revealed that only children from the TLD group seem to have taken advantage of the previous knowledge to enhance SL functioning. These results suggest that children with DLD showed deficits both in implicit and explicit learning mechanisms, casting doubts on the efficiency of the interventions relying on explicit instructions to help children with DLD to overcome their language difficulties.

Why Mental Illness Diagnoses Are Wrong: A Pilot Study on the Perspectives of the Public

BACKGROUND

Mental illness diagnostic criteria are made based on assumptions. This pilot study aims to assess the public's perspectives on mental illness diagnoses and these assumptions.

METHODS

An anonymous survey with 30 questions was made available online in 2021. Participants were recruited via social media, and no personal information was collected. Ten questions focused on participants' perceptions regarding mental illness diagnoses, and 20 questions related to the assumptions of mental illness diagnoses. The participants' perspectives on these assumptions held by professionals were assessed.

RESULTS

Among 14 survey participants, 4 correctly answered the relationships of 6 symptom pairs (28.57%). Two participants could not correctly conduct the calculations involved in mood disorder diagnoses (14.29%). Eleven (78.57%) correctly indicated that 2 or more sets of criteria were available for single diagnoses of mental illnesses. Only 1 (7.14%) correctly answered that the associations between symptoms and diagnoses were supported by including symptoms in the diagnostic criteria of the diagnoses. Nine (64.29%) correctly answered that the diagnosis variances were not fully explained by their symptoms. The confidence of participants in the major depressive disorder diagnosis and the willingness to take medications for this diagnosis were the same (mean = 5.50, standard deviation [SD] = 2.31). However, the confidence of participants in the symptom-based diagnosis of non-solid brain tumor was significantly lower (mean = 1.62, SD = 2.33, p < 0.001).

CONCLUSION

Our study found that mental illness diagnoses are wrong from the perspectives of the public because our participants did not agree with all the assumptions professionals make about mental illness diagnoses. Only a minority of our participants obtained correct answers to the calculations involved in mental illness diagnoses. In the literature, neither patients nor the public have been engaged in formulating the diagnostic criteria of mental illnesses.

Prenatal Drug Exposure in Children With a History of Neuropsychiatric Care: A Nested Case-Control Study

BACKGROUND AND OBJECTIVES

Neuropsychiatric disorders in childhood after prenatal drug exposure raises concerns. Most of the published studies focused on psychotropic medications. This study investigated which prenatal medication exposure was associated with neuropsychiatric disorders in childhood.

METHODS

A case-control study, nested in the French POMME cohort, was conducted to compare prenatal medication exposure between children with a history of neuropsychiatric care (ages 0-8 years) and children in a control group. POMME included children born in Haute-Garonne to women covered by the general Health Insurance System, between 2010 and 2011 (N = 8,372). Cases were identified through: (1) reimbursement for neuropsychiatric care; (2) psychomotor development abnormalities specified on health certificates; and (3) reimbursement for methylphenidate or neuroleptics. Controls had none of these criteria. Prenatal exposure to each of the major "Anatomical Therapeutic Chemical" classes was compared between the groups. Class(es) for which there was a statistically significant difference (after Bonferroni adjustment, i.e., p < 0.0033) was(were) compared using logistic regression.

RESULTS

A total of 723 (8.6%) cases and 4,924 (58.8%) controls were identified. This study showed a statistically significant difference in prenatal exposure to nervous system drugs (excluding analgesics) between the groups [ORa: 2.12 (1.55; 2.90)]. Differences (not statistically significant at the 0.0033 threshold) were also observed for the ATC classes: Musculoskeletal, Genito-urinary System and Sex Hormones, Alimentary Tract and Anti-infectives.

CONCLUSION

Through identification of children with neuropsychiatric disorders and of their prenatal medication exposure, this study provides guidance for the assessment of long-term neuropsychiatric effects after prenatal medication exposure, without focusing on psychotropic medications.

Validation strategies for subtypes in psychiatry: A systematic review of research on autism spectrum disorder

Heterogeneity within autism spectrum disorder (ASD) is recognized as a challenge to both biological and psychological research, as well as clinical practice. To reduce unexplained heterogeneity, subtyping techniques are often used to establish more homogeneous subtypes based on metrics of similarity and dissimilarity between people. We review the ASD literature to create a systematic overview of the subtyping procedures and subtype validation techniques that are used in this field. We conducted a systematic review of 156 articles (2001-June 2020) that subtyped participants (range N of studies = 17-20,658), of which some or all had an ASD diagnosis. We found a large diversity in (parametric and non-parametric) methods and (biological, psychological, demographic) variables used to establish subtypes. The majority of studies validated their subtype results using variables that were measured concurrently, but were not included in the subtyping procedure. Other investigations into subtypes' validity were rarer. In order to advance clinical research and the theoretical and clinical usefulness of identified subtypes, we propose a structured approach and present the SUbtyping VAlidation Checklist (SUVAC), a checklist for validating subtyping results.

Profile of language abilities in a sample of adults with developmental disorders

This study investigated the profile of language abilities in a sample of high-achieving English speaking adults with developmental disorders. Ninety-seven adult participants were recruited: 49 with a dyslexia diagnosis (dyslexic group), 16 with a diagnosis of a different developmental disorder including dyspraxia, autism and SpLD (non-dyslexic developmental disorder group) and 32 with no diagnosis (non-disordered group). Dyslexic and non-dyslexic developmental disorder groups demonstrated similar impairments across measures of word reading, working memory, processing speed and oral language. Dyslexic participants showed the usual pattern of impaired phonological skills but spared non-verbal intelligence and vocabulary. There were also some suggestions of impaired structural oral language skills in this group. A data-driven clustering analysis found that diagnosis was not a reliable predictor of similarity between cases, with diagnostic categories split between data-driven clusters. Overall, the findings indicate that high-achieving adults with developmental disorders do demonstrate impairments that are likely to affect success in higher education, but that support needs should be assessed on a case-by-case basis, rather than according to diagnostic label.

Automated Phenotyping Tool for Identifying Developmental Language Disorder Cases in Health Systems Data (APT-DLD): A New Research Algorithm for Deployment in Large-Scale Electronic Health Record Systems

Purpose Data mining algorithms using electronic health records (EHRs) are useful in large-scale population-wide studies to classify etiology and comorbidities (Casey et al., 2016). Here, we apply this approach to developmental language disorder (DLD), a prevalent communication disorder whose risk factors and epidemiology remain largely undiscovered. Method We first created a reliable system for manually identifying DLD in EHRs based on speech-language pathologist (SLP) diagnostic expertise. We then developed and validated an automated algorithmic procedure, called, Automated Phenotyping Tool for identifying DLD cases in health systems data (APT-DLD), that classifies a DLD status for patients within EHRs on the basis of ICD (International Statistical Classification of Diseases and Related Health Problems) codes. APT-DLD was validated in a discovery sample (N = 973) using expert SLP manual phenotype coding as a gold-standard comparison and then applied and further validated in a replication sample of N = 13,652 EHRs. Results In the discovery sample, the APT-DLD algorithm correctly classified 98% (concordance) of DLD cases in concordance with manually coded records in the training set, indicating that APT-DLD successfully mimics a comprehensive chart review. The output of APT-DLD was also validated in relation to independently conducted SLP clinician coding in a subset of records, with a positive predictive value of 95% of cases correctly classified as DLD. We also applied APT-DLD to the replication sample, where it achieved a positive predictive value of 90% in relation to SLP clinician classification of DLD. Conclusions APT-DLD is a reliable, valid, and scalable tool for identifying DLD cohorts in EHRs. This new method has promising public health implications for future large-scale epidemiological investigations of DLD and may inform EHR data mining algorithms for other communication disorders. Supplemental Material https://doi.org/10.23641/asha.12753578.

A cross-syndrome approach to the social phenotype of neurodevelopmental disorders: Focusing on social vulnerability and social interaction style

BACKGROUND

Following Annette Karmiloff-Smith's approach to cognitive research, this study applied a cross-syndrome approach to the social phenotype, focusing on social vulnerability (SV) and the factors that contribute to it.

AIMS

To (i) identify syndrome-specific differences in SV across four neurodevelopmental disorder (NDD) groups, (ii) determine the contribution of intellectual disability (ID), age or gender to SV, and (iii) explore its relationship with social interaction style (SIS).

METHODS AND PROCEDURES

262 parents of children: Autism (n = 29), Williams syndrome (n = 29), Attention deficit hyperactivity disorder (n = 36), Fragile X syndrome (n = 18), and Neurotypical (n = 150) reported on their child's SV, quality of SIS and other factors (ID, age, gender).

OUTCOMES AND RESULTS

Heightened SV was not syndrome-specific. Instead it was found equally across NDD groups (and not in the neurotypical group), and independently of ID, age and gender. Different atypical SISs were also distributed across NDD groups and each were significantly related to SV, independent of the factors above and beyond neurodevelopmental diagnosis.

CONCLUSIONS AND IMPLICATIONS

The findings emphasise that social phenotypes are best understood as distributed across diagnostic boundaries and offer opportunities to further test the role of varied atypical SISs in the development of heightened SV.

Theory of Mind Performance in Broad Autism Phenotype Groups: Between-Group Differences and Predictor Variables

Investigated between-group differences in cognitive/affective theory of mind (ToM) and predictors of cognitive ToM both within broad autism phenotype/non (BAP/Non-BAP) groups as well as across the sample. The BAP group (n = 45) performed worse than the Non-BAP group (n = 102) on the unexpected outcomes test (UOT), but groups were similar regarding reading the mind in the eyes test (RMET). Stepwise regression indicated RMET best predicted UOT for the BAP group; block design best predicted UOT in the Non-BAP group. BAP traits did not mediate the relation of RMET to UOT performance. While RMET and UOT appear similarly related in BAP/Non-BAP samples, use of emotion recognition abilities in a cognitive ToM task may reflect over-reliance on this skill in the BAP.

Self-directed speech and self-regulation in childhood neurodevelopmental disorders: Current findings and future directions

Self-directed speech is considered an important developmental achievement as a self-regulatory mediator of thinking and behavior. Atypical self-directed speech is often implicated in the self-regulatory challenges characteristic of children with neurodevelopmental disorders. A growing body of evidence provides snapshots across age-levels and diagnoses, often presenting conflicting results. This systematic review is undertaken to impose clarity on the nature, extent, and self-regulatory implications of self-directed speech interruption in children with developmental language disorder (DLD), autism spectrum disorder (ASD), and attention deficit hyperactivity disorder (ADHD).A rigorous search process of relevant databases (i.e., PsychInfo, PubMed, CINAHL, ERIC) uncovered 19 relevant peer-reviewed articles that investigate self-directed speech in children with neurodevelopmental disorders. Consistent across the research, children with DLD, ASD, and ADHD present with differential development and use of self-directed speech.In its synthesis of findings, this systematic review clearly explicates the differential ontogenesis of self-directed speech in neurodevelopmental disorders and interprets the self-regulatory implications for children with DLD, ASD, and ADHD. Furthermore, the review spotlights important future research directions to better understand the mechanistic relationship between self-directed speech and self-regulation.

The identification of speech and language problems in elementary school: Diagnosis and co-occurring needs

BACKGROUND

Oral language skills are the foundation for success at school and in employment. A significant minority of children experience difficulties in the acquisition of oral language resulting in speech and language needs (SLN). There are disjunctures between clinical studies using standardised assessment and educational studies. The current study examines teacher reported SLN alongside assessments of language and cognitive skills to explore children's profiles of needs, developmental trajectories and risk factors.

PROCEDURE

Data from the UK Millennium Cohort Study were used to examine teacher identification of SLN at seven (n = 8658) and 11 years (n = 7275).

RESULTS

There were high levels of co-occurrence between SLN and other special educational needs at seven and 11 years, with SLN being less common at 11. Vocabulary levels and parental concerns at three and five and educational attainment at seven were highly predictive of SLN at seven, slightly less so at 11. However, a significant proportion of parents of children who scored in the bottom 2nd centile on vocabulary measures did not report their child as experiencing a language problem. Gender and disadvantage were also predictive of SLN but were mediated by the cognitive and behavioural variables.

IMPLICATIONS

These results raise questions about whether children's language needs at age 11 are recognised in schools. The extent of co-occurrence challenges the way diagnostic categories should be used and supports the value of profiling of dimensions of need.

Attention-deficit/hyperactivity disorder, joint hypermobility-related disorders and pain: expanding body-mind connections to the developmental age

Attention-deficit/hyperactivity disorder (ADHD) and generalized joint hypermobility (JH) are two separated conditions, assessed, and managed by different specialists without overlapping interests. Recently, some researchers highlighted an unexpected association between these two clinical entities. This happens in a scenario of increasing awareness on the protean detrimental effects that congenital anomalies of the connective tissue may have on human health and development. To review pertinent literature to identify possible connections between ADHD and GJH, special emphasis was put on musculoskeletal pain and syndromic presentations of GJH, particularly the hypermobile Ehlers-Danlos syndrome. A comprehensive search of scientific databases and references lists was conducted, encompassing publications based on qualitative and quantitative research. Impaired coordination and proprioception, fatigue, chronic pain, and dysautonomia are identified as potential bridges between ADHD and JH. Based on these findings, a map of the pathophysiological and psychopathological pathways connecting both conditions is proposed. Although ADHD and JH are traditionally separated human attributes, their association may testify for the dyadic nature of mind-body connections during critical periods of post-natal development. Such a mixed picture has potentially important consequences in terms of disability and deserves more clinical and research attention.

How evolutionary thinking can help us to understand ADHD

We argue that current debates about attention-deficit hyperactivity disorder (ADHD) can be considered afresh using an evolutionary lens. We show how the symptoms of ADHD can often be considered adaptive to their specific environment. We suggest that, from an evolutionary point of view, ADHD symptoms might be understood to result from an ‘evolutionary mismatch’, in which current environmental demands do not fit with what evolution has prepared us to cope with. For example, in our ancestral environment of evolutionary adaptedness (EEA), children were not expected to sit still and concentrate on academic tasks for many hours a day. Understanding ADHD in terms of such a ‘mismatch’ raises significant issues regarding the management of childhood ADHD, including ethical ones. An approach based on the concept of mismatch could provide an alternative to current debates on whether ADHD results from nature or nurture and whether it is under- or over-diagnosed. It would allow clinicians and policy makers to take both the child and the environment into account and consider what might be desirable and feasible, both in society and for specific children, to lessen the mismatch.

LEARNING OBJECTIVES

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CATALISE: A Multinational and Multidisciplinary Delphi Consensus Study. Identifying Language Impairments in Children

Delayed or impaired language development is a common developmental concern, yet there is little agreement about the criteria used to identify and classify language impairments in children. Children's language difficulties are at the interface between education, medicine and the allied professions, who may all adopt different approaches to conceptualising them. Our goal in this study was to use an online Delphi technique to see whether it was possible to achieve consensus among professionals on appropriate criteria for identifying children who might benefit from specialist services. We recruited a panel of 59 experts representing ten disciplines (including education, psychology, speech-language therapy/pathology, paediatrics and child psychiatry) from English-speaking countries (Australia, Canada, Ireland, New Zealand, United Kingdom and USA). The starting point for round 1 was a set of 46 statements based on articles and commentaries in a special issue of a journal focusing on this topic. Panel members rated each statement for both relevance and validity on a seven-point scale, and added free text comments. These responses were synthesised by the first two authors, who then removed, combined or modified items with a view to improving consensus. The resulting set of statements was returned to the panel for a second evaluation (round 2). Consensus (percentage reporting 'agree' or 'strongly agree') was at least 80 percent for 24 of 27 round 2 statements, though many respondents qualified their response with written comments. These were again synthesised by the first two authors. The resulting consensus statement is reported here, with additional summary of relevant evidence, and a concluding commentary on residual disagreements and gaps in the evidence base.

CATALISE: A Multinational and Multidisciplinary Delphi Consensus Study. Identifying Language Impairments in Children

Delayed or impaired language development is a common developmental concern, yet there is little agreement about the criteria used to identify and classify language impairments in children. Children's language difficulties are at the interface between education, medicine and the allied professions, who may all adopt different approaches to conceptualising them. Our goal in this study was to use an online Delphi technique to see whether it was possible to achieve consensus among professionals on appropriate criteria for identifying children who might benefit from specialist services. We recruited a panel of 59 experts representing ten disciplines (including education, psychology, speech-language therapy/pathology, paediatrics and child psychiatry) from English-speaking countries (Australia, Canada, Ireland, New Zealand, United Kingdom and USA). The starting point for round 1 was a set of 46 statements based on articles and commentaries in a special issue of a journal focusing on this topic. Panel members rated each statement for both relevance and validity on a seven-point scale, and added free text comments. These responses were synthesised by the first two authors, who then removed, combined or modified items with a view to improving consensus. The resulting set of statements was returned to the panel for a second evaluation (round 2). Consensus (percentage reporting 'agree' or 'strongly agree') was at least 80 percent for 24 of 27 round 2 statements, though many respondents qualified their response with written comments. These were again synthesised by the first two authors. The resulting consensus statement is reported here, with additional summary of relevant evidence, and a concluding commentary on residual disagreements and gaps in the evidence base.

The relationship between manual coordination and mental health

Motor coordination impairments frequently co-occur with other developmental disorders and mental health problems in clinically referred populations. But does this reflect a broader dimensional relationship within the general population? A clearer understanding of this relationship might inform improvements in mental health service provision. However, ascertainment and referral bias means that there is limited value in conducting further research with clinically referred samples. We, therefore, conducted a cross-sectional population-based study investigating children's manual coordination using an objective computerised test. These measures were related to teacher-completed responses on a behavioural screening questionnaire [the Strength and Difficulties Questionnaire (SDQ)]. We sampled 298 children (4-11 years old; 136 males) recruited from the general population. Hierarchical (logistic and linear) regression modelling indicated significant categorical and continuous relationships between manual coordination and overall SDQ score (a dimensional measure of psychopathology). Even after controlling for gender and age, manual coordination explained 15 % of the variance in total SDQ score. This dropped to 9 % after exclusion of participants whose SDQ responses indicated potential mental health problems. These results: (1) indicate that there is a clear relationship between children's motor and mental health development in community-based samples; (2) demonstrate the relationship's dimensional nature; and (3) have implications for service provision.

A review of five tests to identify motor coordination difficulties in young adults

Difficulties with low motor competence in childhood and adolescence, such as that seen in Developmental Coordination Disorder (DCD), often persist into adulthood. Identification of DCD at all ages is particularly challenging and problematic because of the diversity of motor symptoms. Many tests of motor proficiency and impairment have been developed for children up to 12 years of age. Whilst identification of DCD is important during childhood, it is of equal importance to identify and monitor the impact of this impairment as an individual grows and develops. Currently there is no test specifically designed to support diagnosis and monitor change in the age range 16-30 years. In this article we review five tests that have been used to assess motor competence among young adults (Bruininks-Oseretsky Test of Motor Proficiency-2, McCarron Assessment of Neuromuscular Development, Movement Assessment Battery for Children-2, Tufts Assessment of Motor Performance and the Zurich Neuromotor Assessment). Key issues relevant to testing motor skills in older populations, such as the inclusion of age appropriate skills, are explored. While the BOT-2 provided the most evidence for valid and reliable measurement of Criterion A of the diagnostic criteria for DCD among this age group, no test adequately evaluated Criterion B. Further evaluation of motor skill assessment among the young adult population is needed.

Ten questions about terminology for children with unexplained language problems

BACKGROUND

In domains other than language, there is fairly consistent diagnostic terminology to refer to children's developmental difficulties. For instance, the terms 'dyslexia', 'attention deficit hyperactivity disorder' and 'autistic spectrum disorder' are used for difficulties with reading, attention or social cognition, respectively. There is no agreed label, however, for children with unexplained language problems.

AIMS

To consider whether we need labels for unexplained language problems in children, and if so, what terminology is appropriate.

MAIN CONTRIBUTION

There are both advantages and disadvantages to labels, but they are important to ensure children receive services, and to increase our knowledge of the nature and causes of such problems. A survey of labels in current use found 132 different terms, 33 of which had 600 or more returns on Google Scholar between 1994 and 2013. Many of these labels were too general to be useful. Of the remainder, the term 'specific language impairment' was the most commonly used.

CONCLUSIONS

The current mayhem in diagnostic labels is unsustainable; it causes confusion and impedes research progress and access to appropriate services. We need to achieve consensus on diagnostic criteria and terminology. The DSM-5 term 'language disorder' is problematic because it identifies too wide a range of conditions on an internet search. One solution is to retain specific language impairment, with the understanding that 'specific' means idiopathic (i.e., of unknown origin) rather than implying there are no other problems beyond language. Other options are the terms 'primary language impairment', 'developmental language disorder' or 'language learning impairment'.

Definition and description of schizophrenia in the DSM-5

Although dementia praecox or schizophrenia has been considered a unique disease for over a century, its definitions and boundaries have changed over this period and its etiology and pathophysiology remain elusive. Despite changing definitions, DSM-IV schizophrenia is reliably diagnosed, has fair validity and conveys useful clinical information. Therefore, the essence of the broad DSM-IV definition of schizophrenia is retained in DSM-5. The clinical manifestations are extremely diverse, however, with this heterogeneity being poorly explained by the DSM-IV clinical subtypes and course specifiers. Additionally, the boundaries of schizophrenia are imprecisely demarcated from schizoaffective disorder and other diagnostic categories and its special emphasis on Schneiderian "first-rank" symptoms appears misplaced. Changes in the definition of schizophrenia in DSM-5 seek to address these shortcomings and incorporate the new information about the nature of the disorder accumulated over the past two decades. Specific changes in its definition include elimination of the classic subtypes, addition of unique psychopathological dimensions, clarification of cross-sectional and longitudinal course specifiers, elimination of special treatment of Schneiderian 'first-rank symptoms', better delineation of schizophrenia from schizoaffective disorder, and clarification of the relationship of schizophrenia to catatonia. These changes should improve diagnosis and characterization of individuals with schizophrenia and facilitate measurement-based treatment and concurrently provide a more useful platform for research that will elucidate its nature and permit a more precise future delineation of the 'schizophrenias'.

A behavioral neuroenergetics theory of ADHD

Energetic insufficiency in neurons due to inadequate lactate supply is implicated in several neuropathologies, including attention-deficit/hyperactivity disorder (ADHD). By formalizing the mechanism and implications of such constraints on function, the behavioral Neuroenergetics Theory (NeT) predicts the results of many neuropsychological tasks involving individuals with ADHD and kindred dysfunctions, and entails many novel predictions. The associated diffusion model predicts that response times will follow a mixture of Wald distributions from the attentive state, and ex-Wald distributions after attentional lapses. It is inferred from the model that ADHD participants can bring only 75-85% of the neurocognitive energy to bear on tasks, and allocate only about 85% of the cognitive resources of comparison groups. Parameters derived from the model in specific tasks predict performance in other tasks, and in clinical conditions often associated with ADHD. The primary action of therapeutic stimulants is to increase norepinephrine in active regions of the brain. This activates glial adrenoceptors, increasing the release of lactate from astrocytes to fuel depleted neurons. The theory is aligned with other approaches and integrated with more general theories of ADHD. Therapeutic implications are explored.

Developmental coordination disorder in children with specific language impairment: co-morbidity and impact on quality of life

Co-morbidity of Developmental Coordination Disorder (DCD) in children with specific language impairment (SLI) and the impact of DCD on quality-of-life (QOL) was investigated in 65 5-8 year old children with SLI (43 boys, age 6.8±0.8; 22 girls, age 6.6±0.8). The prevalence of DCD was assessed using DSM-IV-TR criteria (American Psychiatric Association (APA), 2000) operationally defined in the clinical practice guideline (CPG): movement ABC scores below 15th percentile, scores on DCDQ and/or MOQ-T below 15th percentile, absence of medical condition according to paediatric-neurological exam. Quality of life (QOL) was measured with the TNO-AZL-Child-Quality-Of-Life (TACQOL) Questionnaire filled out by parents for the SLI group with and without DCD, and compared to a reference group (N=572; age 6.9±0.9). The TACQOL covers 7 QOL domains: physical, motor, cognitive and social functioning, autonomy, positive and negative moods. Prevalence of DCD in children with SLI was 32.3%. In children with SLI, mean QOL scores were significantly lower in the autonomy, cognitive, social and positive moods domains compared to the reference group. Children with SLI and DCD differed from children with SLI without DCD by significantly lower mean overall-, motor-, autonomy-, and cognitive domain-QOL scores. Clinicians should be aware that about one third of children with SLI can also be diagnosed with DCD. Assessment of QOL is warranted in order to assess which domains are affected in children with SLI with or without DCD.

Mood impairments in adults previously diagnosed with developmental coordination disorder

BACKGROUND

Developmental coordination disorder (DCD) affects up to 6% of the population and is diagnosed on the basis of poor motor coordination. While we know rather little about its lifetime consequences, clear and significant difficulties remain through the lifespan for the majority. Reduced physical activity and, outside of the motor domain, significant mental health issues exist for many with DCD.

AIMS

This study provides the first investigation of the presence of mood disorders in adults with DCD.

METHOD

Symptoms of anxiety and depression were assessed using the Beck Depression and Spielberger Anxiety Inventories in 36 adults previously diagnosed with DCD vs. 49 age- and gender-matched typical controls. Amount and type of physical activity undertaken each week were also reported.

RESULTS

After controlling for their reduced level of weekly physical activity, the group with DCD reported significantly more symptoms of depression, state and trait anxiety than their peers.

CONCLUSIONS

This finding has important implications for consideration of intervention in DCD, as well as for investigation of the risk and protective factors at play in long-term outcome. Finally, the findings highlight the need for awareness of motor difficulties in those presenting with high levels of anxiety and depression, and vice versa.