Error related negativity and multi-source interference task in children with attention deficit hyperactivity disorder-combined type

Abstract

Objective: To compare performance of children with attention deficit hyperactivity disorders-combined (ADHD-C) type with control children in multi-source interference task (MSIT) evaluated by means of error related negativity (ERN). Method: We studied 12 children with ADHD-C type with a median age of 7 years, control children were age-and gender-matched. Children performed MSIT and simultaneous recording of ERN. Results: We found no differences in MSIT parameters among groups. We found no differences in ERN variables between groups. We found a significant association of ERN amplitude with MSIT in children with ADHD-C type. Some correlation went in positive direction (frequency of hits and MSIT amplitude), and others in negative direction (frequency of errors and RT in MSIT). Conclusion: Children with ADHD-C type exhibited a significant association between ERN amplitude with MSIT. These results underline participation of a cingulofronto-parietal network and could help in the comprehension of pathophysiological mechanisms of ADHD.Keywords: attention deficit hyperactivity disorder, multi-source interference task, event related potentials, error-related negativity, cingulo-fronto-parietal network. RESUMENObjetivo: Comparar el rendimiento de un grupo de niños con trastorno por déficit de atención-hiperactividad de tipo combinado (TDAH-C), con niños controles, en la tarea de interferencia multi-fuente (TIMF), evaluado por la negatividad relacionada al error (NRE). Método: Estudiamos 12 niños con TDAH-C con una mediana de 7 años, los controles estuvieron pareados por edad y género. Los niños realizaron la TIMF con registros simultáneos de NRE. Resultados: No encontramos diferencias en los parámetros de la TIMF entre grupos. No encontramos diferencias en las variables de la NRE entre grupos. Encontramos asociaciones significativas entre la amplitud de la NRE en niños con TDAH-C. Una correlación fue en dirección positiva: (frecuencia de aciertos y amplitud de TIMF), y otras fueron en dirección negativa (frecuencia de errores y el tiempo de respuesta en la TIMF). Conclusión: Los niños con TDAH-C presentan una asociación significativa entre la amplitud de la NRE con la TIMF. Los resultados sugieren la participación de la red cíngulo-fronto-parietal y pueden ayudar en la comprensión de los mecanismos fisiopatológicos del TDAH-C.Palabras clave: trastorno por déficit de atención-hiperactividad, tarea de interferencia multi-fuente, potenciales relacionados a eventos cognoscitivos, negatividad relacionada al error, red cíngulo-fronto-parietal.Attention deficit-hyperactivity disorder (ADHD) is an alteration whose main symptoms are inattention, hyperactivity, and impulsivity 1 . Children with ADHD present difficulties in several areas, such as those related to school, home or different social environments that affect their Quality of Life (QoL) 2 . Children with ADHD present alterations in other domains, such as executive functions (EF) 3 . Children with ADHD can be classified in three groups as follows: predominantly

Neural correlates of cognitive dysfunction in fibromyalgia patients: Reduced brain electrical activity during the execution of a cognitive control task

“…The overall objective of this study was to clarify the neural basis of dyscognition in FM by comparing the EEGs recorded in FM patients and healthy controls while they performed the Multi-Source Interference Task (MSIT), a task that activates the cognitive/attentional network. The MSIT, originally designed to elicit a robust interference effect in neuroimaging studies (Bush et al, 2003), has been widely used to study interference control in the healthy population and in numerous clinical conditions (Bush et al, 2003; Bush and Shin, 2006; Bush et al, 2008; Shehzad et al, 2012,; Veldhuijzen et al, 2012; Bush et al, 2013; Mao et al, 2014; Huerta-Albarrán et al, 2015; González-Villar et al, 2017). Previous fMRI studies in healthy individuals have shown that the MSIT activates the dorsal anterior midcingulate cortex, the DLPFC, premotor areas and parietal regions (Bush et al, 2003).…”