ABSTRACT
Sleep disorders are common in children and affect neurological development with important cognitive, emotional and behavioral repercussions. There is a high prevalence of sleep disorders (SD) in neurodevelopmental disorders (NDD) such as autism spectrum disorder (ASD) and attention-deficit hyperactivity disorder (ADHD). Sleep disorders in pediatric population have a prevalence of 6-25%, while in children with NDD this number rises to 50-80%. In NDDs, higher rates of difficulties in falling asleep, nocturnal awakenings and daytime sleepiness are observed. Disturbances in the circadian rhythm as well as respiratory sleep disorders are also observed. Consequently, there is a decrease in alertness for daytime activities with increased behavioral disorders, emotional problems and academic difficulties associated with executive and memory dysfunctions. Sleep assessment has to be a systemic part in the clinical evaluation of children with NDDs, so as to give a convenient diagnosis and treatment in each case, allowing to improve the quality of life of children and their families.
Los trastornos del sueño son frecuentes en niños y afectan al desarrollo neurológico, con importante repercusión cognitiva, emocional y conductual. Existe una alta prevalencia de trastornos del sueño (TS) en los trastornos del neurodesarrollo (TND), como trastorno del espectro autista (TEA) y trastorno por déficit de atención con hiperactividad (TDAH). Los TS en población pediátrica tienen una prevalencia del 6-25%, mientras que en los niños con TND esta cifra asciende al 50-80%. En los TND se observa un incremento de las dificultades para conciliar el sueño, de los despertares nocturnos y de la somnolencia diurna. Así mismo, presentan alteraciones del ritmo circadiano y trastornos respiratorios del sueño. Como consecuencia se produce una reducción de la alerta para las actividades diarias con incremento de trastornos conductuales, problemas emocionales y dificultades académicas asociadas a disfunciones ejecutivas y de memoria. La evaluación del sueño debe formar parte sistemática en la valoración clínica de los niños con TND, con el fin de realizar un diagnóstico y un tratamiento adecuados a cada caso, permitiendo mejorar la calidad de vida del niño y de su familia.
Subject(s)
Attention Deficit Disorder with Hyperactivity , Autism Spectrum Disorder , Neurodevelopmental Disorders , Sleep Wake Disorders , Humans , Child , Autism Spectrum Disorder/complications , Autism Spectrum Disorder/diagnosis , Autism Spectrum Disorder/therapy , Quality of Life , Neurodevelopmental Disorders/complications , Neurodevelopmental Disorders/diagnosis , Attention Deficit Disorder with Hyperactivity/complications , Attention Deficit Disorder with Hyperactivity/diagnosis , Attention Deficit Disorder with Hyperactivity/therapyABSTRACT
Resumen El trastorno por déficit de atención con hiperactividad (TDAH) y el trastorno del espectro autista (TEA) son trastornos del neurodesarrollo cuyo diagnóstico es clínico y con gran variabilidad en la presentación clínica. La posibilidad de identificar y validar biomarcadores en estos trastornos del neurodesarrollo ayudaría no sólo en su diagnóstico sino también a la hora de implementar tratamientos personalizados y mo nitorizar la respuesta al tratamiento. Exploraciones neurofisiológicas como los potenciales evocados cognitivos (PEC), son una de las herramientas más utilizadas para evaluar de forma objetiva y con una alta resolución temporal las funciones cognitivas y proporcionan información sobre los mecanismos neurobiológicos subyacen tes, por lo que constituyen una herramienta de gran utilidad para valorar las alteraciones cognitivas asociadas a los trastornos del neurodesarrollo. Se han utilizado diferentes componentes de los PEC para el estudio de los trastornos del neurodesarrollo, como el componente P300, N400 o el componente N170 como biomarcador de la disfunción social en TEA. Revisamos los principales componentes de los PEC que se han estudiado como herramientas complementarias en el diagnóstico y en la monitorización de los tratamientos en los trastornos del neurodesarrollo.
Abstract Attention deficit hyperactivity disorder (ADHD) and autism spectrum disorder (ASD) are neurodevel opmental disorders whose diagnosis is clinical and with great variability in clinical presentation. The possibility of identifying and validating biomarkers in these neurodevelopmental disorders would help not only in their diagnosis, but also when implementing personalized treatments and monitori ng the response to treatment. Neurophysiologi cal examinations such as event related potentials (ERP) are one of the most widely used tools to objectively assess cognitive functions with high temporal resolution and provide information on the underlying neurobiological mechanisms, making them a very useful tool to assess cognitive alterations associated with neurodevelopmental disorders. Different components of the ERP have been used for the study of neurodevelopmental disorders, such as the P300, N400 component or the N170 component as a biomarker of social dysfunction in ASD. We review the main components of ERP that have been studied as complementary tools in the diagnosis and monitoring of treatments in neurodevelopmental disorders.
ABSTRACT
Attention deficit hyperactivity disorder (ADHD) and autism spectrum disorder (ASD) are neurodevelopmental disorders whose diagnosis is clinical and with great variability in clinical presentation. The possibility of identifying and validating biomarkers in these neurodevelopmental disorders would help not only in their diagnosis, but also when implementing personalized treatments and monitori ng the response to treatment. Neurophysiological examinations such as event related potentials (ERP) are one of the most widely used tools to objectively assess cognitive functions with high temporal resolution and provide information on the underlying neurobiological mechanisms, making them a very useful tool to assess cognitive alterations associated with neurodevelopmental disorders. Different components of the ERP have been used for t he study of neurodevelopmental disorders, such as the P300, N400 component or the N170 component as a biomarker of social dysfunction in ASD. We review the main components of ERP that have been studied as complementary tools in the diagnosis and monitoring of treatments in neurodevelopmental disorders.
El trastorno por déficit de atención con hiperactividad (TDAH) y el trastorno del espectro autista (TEA) son trastornos del neurodesarrollo cuyo diagnóstico es clínico y con gran variabilidad en la presentación clínica. La posibilidad de identificar y validar biomarcadores en estos trastornos del neurodesarrollo ayudaría no sólo en su diagnóstico sino también a la hora de implementar tratamientos personalizados y monitorizar la respuesta al tratamiento. Exploraciones neurofisiológicas como los potenciales evocados cognitivos (PEC), son una de las herramientas más utilizadas para evaluar de forma objetiva y con una alta resolución temporal las funciones cognitivas y proporcionan información sobre los mecanismos neurobiológicos subyacentes, por lo que constituyen una herramienta de gran utilidad para valorar las alteraciones cognitivas asociadas a los trastornos del neurodesarrollo. Se han utilizado diferentes componentes de los PEC para el estudio de los trastornos del neurodesarrollo, como el componente P300, N400 o el componente N170 como biomarcador de la disfunción social en TEA. Revisamos los principales componentes de los PEC que se han estudiado como herramientas complementarias en el diagnóstico y en la monitorización de los tratamientos en los trastornos del neurodesarrollo.
Subject(s)
Autism Spectrum Disorder , Neurodevelopmental Disorders , Humans , Male , Female , Evoked Potentials/physiology , Electroencephalography , BiomarkersABSTRACT
OBJECTIVES: To determine whether adults with persistent developmental stuttering (PDS) have auditory perceptual deficits. METHODS: The authors compared the mismatch negativity (MMN) event-related brain potential elicited to simple tone (frequency and duration) and phonetic contrasts in a sample of PDS subjects with that recorded in a sample of paired fluent control subjects. RESULTS: Subjects with developmental stuttering had normal MMN to simple tone contrasts but a significant supratemporal left-lateralized enhancement of this electrophysiologic response to phonetic contrasts. In addition, the enhanced MMN correlated positively with speech disfluency as self-rated by the subjects. CONCLUSIONS: Individuals with persistent developmental stuttering have abnormal permanent traces for speech sounds, and their abnormal speech sound representation may underlie their speech disorder. The link between abnormal speech neural traces of the auditory cortex and speech disfluency supports the relevance of speech perception mechanisms to speech production.
