Literature DB >> 29787785

Junior temperament character inventory together with quantitative EEG discriminate children with attention deficit hyperactivity disorder combined subtype from children with attention deficit hyperactivity disorder combined subtype plus oppositional defiant disorder.

Giuseppe A Chiarenza1, Stefania Villa2, Lidice Galan3, Pedro Valdes-Sosa3, Jorge Bosch-Bayard4.   

Abstract

Oppositional defiant disorder (ODD) is frequently associated with Attention Deficit Hyperactivity Disorder (ADHD) but no clear neurophysiological evidence exists that distinguishes the two groups. Our aim was to identify biomarkers that distinguish children with Attention Deficit Hyperactivity Disorder combined subtype (ADHD_C) from children with ADHD_C + ODD, by combining the results of quantitative EEG (qEEG) and the Junior Temperament Character Inventory (JTCI). 28 ADHD_C and 22 ADHD_C + ODD children who met the DSMV criteria participated in the study. JTCI and EEG were analyzed. Stability based Biomarkers identification methodology was applied to the JTCI and the qEEG separately and combined. The qEEG was tested at the scalp and the sources levels. The classification power of the selected biomarkers was tested with a robust ROC technique. The best discriminant power was obtained when TCI and qEEG were analyzed together. Novelty seeking, self-directedness and cooperativeness were selected as biomarkers together with F4 and Cz in Delta; Fz and F4 in Theta and F7 and F8 in Beta, with a robust AUC of 0.95 for the ROC. At sources level: the regions were the right lateral and medial orbito-frontal cortex, cingular region, angular gyrus, right inferior occipital gyrus, occipital pole and the left insula in Theta, Alpha and Beta. The robust estimate of the total AUC was 0.91. These structures are part of extensive networks of novelty seeking, self-directedness and cooperativeness systems that seem dysregulated in these children. These methods represent an original approach to associate differences of personality and behavior to specific neuronal systems and subsystems.
Copyright © 2018 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  ADHD_C, ODD; Character; JTCI; Source localization; Temperament; qEEG; qEEGT

Mesh:

Year:  2018        PMID: 29787785     DOI: 10.1016/j.ijpsycho.2018.05.007

Source DB:  PubMed          Journal:  Int J Psychophysiol        ISSN: 0167-8760            Impact factor:   2.997


  3 in total

1.  Body-Related Attitudes, Personality, and Identity in Female Adolescents with Anorexia Nervosa or Other Mental Disorders.

Authors:  Melanie Achermann; Juliane Günther; Kirstin Goth; Klaus Schmeck; Simone Munsch; Lars Wöckel
Journal:  Int J Environ Res Public Health       Date:  2022-04-04       Impact factor: 3.390

2.  Clinical and Electrophysiological Differences between Subjects with Dysphonetic Dyslexia and Non-Specific Reading Delay.

Authors:  Jorge Bosch-Bayard; Valeria Peluso; Lidice Galan; Pedro Valdes Sosa; Giuseppe A Chiarenza
Journal:  Brain Sci       Date:  2018-09-10

3.  An Age-Adjusted EEG Source Classifier Accurately Detects School-Aged Barbadian Children That Had Protein Energy Malnutrition in the First Year of Life.

Authors:  Maria L Bringas Vega; Yanbo Guo; Qin Tang; Fuleah A Razzaq; Ana Calzada Reyes; Peng Ren; Deirel Paz Linares; Lidice Galan Garcia; Arielle G Rabinowitz; Janina R Galler; Jorge Bosch-Bayard; Pedro A Valdes Sosa
Journal:  Front Neurosci       Date:  2019-11-29       Impact factor: 4.677

  3 in total

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