Developmental profile and diagnoses in children presenting with motor stereotypies

Introduction: Motor stereotypies represent a typical example of the difficulty in distinguishing non-clinical behaviors (physiological and transient) from symptoms or among different disorders (“primary stereotypies”, associated with Autistic Spectrum Disorder, Intellectual Disabilities, genetic syndromes, sensory impairment). Aim of this study was to get an accurate analysis on the relationship between stereotypies and neurodevelopmental disorders. Methods: We studied 23 children (3 girls) aged 36 to 95 months, who requested a consultation due to the persistence or the increase severity of motor stereotypies. None of patients had a previous diagnosis of ASD. The assessment included the Motor Severity Stereotypy Scale (MSSS), the Repetitive Behavior Scale-Revised (RBS-R), the Raven’s Colored Progressive Matrices (CPM), the Child Behavior Checklist for ages 1 ½ -5 or 4-18 (CBCL), the Social Responsiveness Scale (SRS) and the Autism Diagnostic Observation Schedule- Second edition (ADOS 2). Results: All patients were showing motor stereotypies for periods of time varying from 6 to 77 months. The MSSS showed each child had a limited number of stereotypies; their frequency and intensity were mild; the interference of stereotypies was variable; the impairment in the daily life was mild. The RBS-R scores resulted positive for the subscale of “Stereotypic behaviors” in all children; moreover, several children presented other repetitive behaviors, mainly “Ritualistic behavior” and “Sameness behavior”. All patients showed a normal cognitive level. The CBCL evidenced behavioral problems in 22% of the children: Internalizing problems, Attention and Withdrawn were the main complaints. On the SRS, all but one of the tested patients obtained clinical scores in the clinical range at least in one area. On the ADOS 2, four patients obtained scores indicating a moderate level of ASD symptoms, four had a mild level and fifteen showed no or minimal signs of ASD. Discussion: Motor stereotypies in children with normal cognitive level represent a challenging diagnostic issue for which a finely tailored assessment is mandatory in order to define a precise developmental profile. Notably, a careful and cautious use of standardized tests is warranted to avoid misdiagnosis. Furthermore, it is hard to consider motor stereotypies, even the primary ones, exclusively as a movement disorder

Rett Syndrome

Rett syndrome is a thief! It robs little girls of their projected life. It lulls their families into a false sense of security while their little girls develop normally for 6 to 18 months. Then it insidiously robs them of their skills and abilities until they are trapped in a body that won't respond. These little girls are called "silent angels" (Hunter, 2007). Rett syndrome (RS) was originally identified in 1966 by the Austrian neurologist Andreas Rett, but his research and findings were written in an obscure form of the German language the medical world could not and did not translate. It wasn't until 1983, that Rett syndrome was re-identified and labeled as its own disorder (Hunter, 2007). The Rett Syndrome Research Foundation (2006) summarizes the condition best with: Rett syndrome is a debilitating neurological disorder diagnosed almost exclusively in females. Children with Rett syndrome appear to develop normally until 6 to 18 months of age when they enter a period of regression, losing speech and motor skills. Most develop repetitive hand movements, irregular breathing patterns, seizures and extreme motor control problems. Rett syndrome leaves its victims profoundly disabled, requiring maximum assistance with every aspect of daily living. There is no cure. (Retrieved October 14, 2008 from http://www.rsrf.org/about_rett_syndrome/) Research is ever going to regards to Rett syndrome. What is known as of now is that Rett syndrome is caused by a mutation of the gene MECP2. It is not passed down in families and it knows no ethnic boundaries. The majority of Rett girls live to adulthood (RSRF, 2006). The male child doesn't usually survive birth with Rett syndrome

Diagnostic approach to paediatric movement disorders:a clinical practice guide

Paediatric movement disorders (PMDs) comprise a large group of disorders (tics, myoclonus, tremor, dystonia, chorea, Parkinsonism, ataxia), often with mixed phenotypes. Determination of the underlying aetiology can be difficult given the broad differential diagnosis and the complexity of the genotype-phenotype relationships. This can make the diagnostic process time-consuming and difficult. In this overview, we present a diagnostic approach for PMDs, with emphasis on genetic causes. This approach can serve as a framework to lead the clinician through the diagnostic process in eight consecutive steps, including recognition of the different movement disorders, identification of a clinical syndrome, consideration of acquired causes, genetic testing including next-generation sequencing, post-sequencing phenotyping, and interpretation of test results. The aim of this approach is to increase the recognition and diagnostic yield in PMDs.</p

The spectrum of involuntary vocalizations in humans: A video atlas

In clinical practice, involuntary vocalizing behaviors are typically associated with Tourette syndrome and other tic disorders. However, they may also be encountered throughout the entire tenor of neuropsychiatry, movement disorders, and neurodevelopmental syndromes. Importantly, involuntary vocalizing behaviors may often constitute a predominant clinical sign, and, therefore, their early recognition and appropriate classification are necessary to guide diagnosis and treatment. Clinical literature and video-documented cases on the topic are surprisingly scarce. Here, we pooled data from 5 expert centers of movement disorders, with instructive video material to cover the entire range of involuntary vocalizations in humans. Medical literature was also reviewed to document the range of possible etiologies associated with the different types of vocalizing behaviors and to explore treatment options. We propose a phenomenological classification of involuntary vocalizations within different categorical domains, including (1) tics and tic-like vocalizations, (2) vocalizations as part of stereotypies, (3) vocalizations as part of dystonia or chorea, (4) continuous vocalizing behaviors such as groaning or grunting, (5) pathological laughter and crying, (6) vocalizations resembling physiological reflexes, and (7) other vocalizations, for example, those associated with exaggerated startle responses, as part of epilepsy and sleep-related phenomena. We provide comprehensive lists of their associated etiologies, including neurodevelopmental, neurodegenerative, neuroimmunological, and structural causes and clinical clues. We then expand on the pathophysiology of the different vocalizing behaviors and comment on available treatment options. Finally, we present an algorithmic approach that covers the wide range of involuntary vocalizations in humans, with the ultimate goal of improving diagnostic accuracy and guiding appropriate treatment

The spectrum of involuntary vocalizations in humans: A video atlas

In clinical practice, involuntary vocalizing behaviors are typically associated with Tourette syndrome and other tic disorders. However, they may also be encountered throughout the entire tenor of neuropsychiatry, movement disorders, and neurodevelopmental syndromes. Importantly, involuntary vocalizing behaviors may often constitute a predominant clinical sign, and, therefore, their early recognition and appropriate classification are necessary to guide diagnosis and treatment. Clinical literature and video‐documented cases on the topic are surprisingly scarce. Here, we pooled data from 5 expert centers of movement disorders, with instructive video material to cover the entire range of involuntary vocalizations in humans. Medical literature was also reviewed to document the range of possible etiologies associated with the different types of vocalizing behaviors and to explore treatment options. We propose a phenomenological classification of involuntary vocalizations within different categorical domains, including (1) tics and tic‐like vocalizations, (2) vocalizations as part of stereotypies, (3) vocalizations as part of dystonia or chorea, (4) continuous vocalizing behaviors such as groaning or grunting, (5) pathological laughter and crying, (6) vocalizations resembling physiological reflexes, and (7) other vocalizations, for example, those associated with exaggerated startle responses, as part of epilepsy and sleep‐related phenomena. We provide comprehensive lists of their associated etiologies, including neurodevelopmental, neurodegenerative, neuroimmunological, and structural causes and clinical clues. We then expand on the pathophysiology of the different vocalizing behaviors and comment on available treatment options. Finally, we present an algorithmic approach that covers the wide range of involuntary vocalizations in humans, with the ultimate goal of improving diagnostic accuracy and guiding appropriate treatment

The Genetic Landscape of Complex Childhood-Onset Hyperkinetic Movement Disorders

Acord transformatiu CRUE-CSICThis work was supported by an NIHR Professorship (to M.A.K.). M.A.K. has received funding from the Sir Jules Thorn Award for Biomedical Research and Wellcome Trust. B.P.-D. was supported by Instituto de Salud Carlos III, PI 18/01319 and PI21/00248, and has received funding from Beca José Castillejos (CAS14/00328). K.J.P. was supported by an MRC Clinician-Scientist Fellowship (511015) and was supported by the Dystonia Medical Research Foundation and Fight for Sight. S.S.M. has received funding from the Winston Churchill Memorial trust and Cerebral Palsy Alliance.Background and Objective: The objective of this study was to better delineate the genetic landscape and key clinical characteristics of complex, early-onset, monogenic hyperkinetic movement disorders. Methods: Patients were recruited from 14 international centers. Participating clinicians completed standardized proformas capturing demographic, clinical, and genetic data. Two pediatric movement disorder experts reviewed available video footage, classifying hyperkinetic movements according to published criteria. Results: One hundred forty patients with pathogenic variants in 17 different genes (ADCY5, ATP1A3, DDC, DHPR, FOXG1, GCH1, GNAO1, KMT2B, MICU1, NKX2.1, PDE10A, PTPS, SGCE, SLC2A1, SLC6A3, SPR, and TH) were identified. In the majority, hyperkinetic movements were generalized (77%), with most patients (69%) manifesting combined motor semiologies. Parkinsonism-dystonia was characteristic of primary neurotransmitter disorders (DDC, DHPR, PTPS, SLC6A3, SPR, TH); chorea predominated in ADCY5-, ATP1A3-, FOXG1-, NKX2.1-, SLC2A1-, GNAO1-, and PDE10A-related disorders; and stereotypies were a prominent feature in FOXG1- and GNAO1-related disease. Those with generalized hyperkinetic movements had an earlier disease onset than those with focal/segmental distribution (2.5 ± 0.3 vs. 4.7 ± 0.7 years; P = 0.007). Patients with developmental delay also presented with hyperkinetic movements earlier than those with normal neurodevelopment (1.5 ± 2.9 vs. 4.7 ± 3.8 years; P < 0.001). Effective disease-specific therapies included dopaminergic agents for neurotransmitters disorders, ketogenic diet for glucose transporter deficiency, and deep brain stimulation for SGCE-, KMT2B-, and GNAO1-related hyperkinesia. Conclusions: This study highlights the complex phenotypes observed in children with genetic hyperkinetic movement disorders that can lead to diagnostic difficulty. We provide a comprehensive analysis of motor semiology to guide physicians in the genetic investigation of these patients, to facilitate early diagnosis, precision medicine treatments, and genetic counseling. © 2022 The Authors. Movement Disorders published by Wiley Periodicals LLC on behalf of International Parkinson and Movement Disorder Society

Machine Learning and Virtual Reality on Body Movements¿ Behaviors to Classify Children with Autism Spectrum Disorder

[EN] Autism spectrum disorder (ASD) is mostly diagnosed according to behavioral symptoms in sensory, social, and motor domains. Improper motor functioning, during diagnosis, involves the qualitative evaluation of stereotyped and repetitive behaviors, while quantitative methods that classify body movements' frequencies of children with ASD are less addressed. Recent advances in neuroscience, technology, and data analysis techniques are improving the quantitative and ecological validity methods to measure specific functioning in ASD children. On one side, cutting-edge technologies, such as cameras, sensors, and virtual reality can accurately detect and classify behavioral biomarkers, as body movements in real-life simulations. On the other, machine-learning techniques are showing the potential for identifying and classifying patients' subgroups. Starting from these premises, three real-simulated imitation tasks have been implemented in a virtual reality system whose aim is to investigate if machine-learning methods on movement features and frequency could be useful in discriminating ASD children from children with typical neurodevelopment. In this experiment, 24 children with ASD and 25 children with typical neurodevelopment participated in a multimodal virtual reality experience, and changes in their body movements were tracked by a depth sensor camera during the presentation of visual, auditive, and olfactive stimuli. The main results showed that ASD children presented larger body movements than TD children, and that head, trunk, and feet represent the maximum classification with an accuracy of 82.98%. Regarding stimuli, visual condition showed the highest accuracy (89.36%), followed by the visual-auditive stimuli (74.47%), and visual-auditive-olfactory stimuli (70.21%). Finally, the head showed the most consistent performance along with the stimuli, from 80.85% in visual to 89.36% in visual-auditive-olfactory condition. The findings showed the feasibility of applying machine learning and virtual reality to identify body movements' biomarkers that could contribute to improving ASD diagnosis.This work was supported by the Spanish Ministry of Economy, Industry, and Competitiveness funded project "Immersive virtual environment for the evaluation and training of children with autism spectrum disorder: T Room" (IDI-20170912) and by the Generalitat Valenciana funded project REBRAND (PROMETEO/2019/105). Furthermore, this work was co-founded by the European Union through the Operational Program of the European Regional development Fund (ERDF) of the Valencian Community 2014-2020 (IDIFEDER/2018/029).Alcañiz Raya, ML.; Marín-Morales, J.; Minissi, ME.; Teruel Garcia, G.; Abad, L.; Chicchi-Giglioli, IA. (2020). 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Motor stereotypies in adult patients with Tourette syndrome

Aim: Correctly diagnosing repetitive behaviors in patients with Tourette syndrome (TS) can be challenging. The differential diagnosis between tics and stereotypies is of particular importance, because of treatment implications. Methods: We assessed the prevalence and clinical characteristics of stereotypies in a large sample of adult patients with TS attending a specialist clinic. Results: Mild stereotypies were reported by 21/148 patients (14.2%). Patients with stereotypies were significantly more likely to have a comorbid diagnosis of Asperger syndrome, attention-deficit and hyperactivity disorder, and obsessive-compulsive disorder, compared with patients without stereotypies. Multiple linear regression analysis revealed that the presence of Asperger syndrome significantly predicted stereotypy severity. Conclusion: Stereotypies are not rare in adults with TS and other neurodevelopmental conditions, especially Asperger syndrome

How core symptoms of Autism Spectrum Disorder predict engagement in specific topographies of challenging behavior

Challenging behavior, such as aggression, destructive behavior, and self-injurious behavior (SIB), are common among people of all ages with Autism Spectrum Disorder (ASD). Numerous researchers have found that greater severity of ASD or a diagnosis of ASD is significantly correlated with greater levels of challenging behavior. However, there is dearth of information on how core symptoms of ASD (i.e., socialization deficits, communication deficits, stereotypies) predict the engagement of specific topographies of challenging behavior above and beyond other variables, such as developmental functioning. The purpose of this study is to extend the current literature base through examining how core symptoms of ASD predict engagement in Aggressive/Destructive and SIB above and beyond developmental functioning among toddlers at risk for developing ASD. Validated measures for this population were used: Baby and Infant Screen for Children with aUtIsm Traits (BISCUIT) - Part 1 and 3. First, it was demonstrated that greater scores on factors reflecting socialization deficits and engagement in stereotypies significantly predicted engagement in Aggressive/Destructive Behavior. Only stereotypies significantly predicted engagement in SIB. However, findings were small in effect with odds ratios ranging from 1.03 to 1.11. When examining how core symptoms of ASD predict engagement of challenging behavior at an item level, results were not interpretable due to suppression effects. These suppression effects indicate that the interrelationship among the predictor variables were such that relations between individual predictors and a dependent variable were either enhanced or suppressed. Thus the effect of each independent variable/covariate alone was not clear. Consequently, examination at an item level did not provide added benefit over examination at a group level. Implications of these results and directions for future research are discussed