6.58 SUBGROUPS IDENTIFICATION OF ATTENTION-DEFICIT/HYPERACTIVITY DISORDER IN DIMENSIONS OF SYMPTOM SEVERITY AND INTELLIGENCE USING TOPOLOGICAL DATA ANALYSIS AND THEIR FUNCTIONAL NETWORK MODULAR ORGANIZATIONS

2016 ◽  
Vol 55 (10) ◽  
pp. S223
Author(s):  
Eunjoo Kim ◽  
Jungeun Song ◽  
Sunghyon Kyeong ◽  
Seul Bee Lee
Keyword(s):  
Attention Deficit Hyperactivity Disorder ◽  
Data Analysis ◽  
Attention Deficit ◽  
Symptom Severity ◽  
Functional Network ◽  
Topological Data Analysis ◽  
Hyperactivity Disorder ◽  
Topological Data

scholarly journals Topological Data Analysis reveals robust alterations in the whole-brain and frontal lobe functional connectomes in Attention-Deficit/Hyperactivity Disorder

2019 ◽  
Author(s):  
Zeus Gracia-Tabuenca ◽  
Juan Carlos Díaz-Patiño ◽  
Isaac Arelio ◽  
Sarael Alcauter
Keyword(s):  
Attention Deficit Hyperactivity Disorder ◽  
Data Analysis ◽  
Frontal Lobe ◽  
Attention Deficit ◽  
Brain Network ◽  
Topological Data Analysis ◽  
Hyperactivity Disorder ◽  
The Brain ◽  
Connectivity Threshold ◽  
Topological Data

AbstractThe functional organization of the brain network (connectome) has been widely studied as a graph; however, methodological issues may affect the results, such as the brain parcellation scheme or the selection of a proper threshold value. Instead of exploring the brain in terms of a static connectivity threshold, this work explores its algebraic topology as a function of the filtration value (i.e., the connectivity threshold), a process termed the Rips filtration in Topological Data Analysis. Specifically, we characterized the transition from all nodes being isolated to being connected into a single component as a function of the filtration value, in a public dataset of children with attention-deficit/hyperactivity disorder (ADHD) and typically developing children. Results were highly congruent when using four different brain segmentations (atlases), and exhibited significant differences for the brain topology of children with ADHD, both at the whole brain network and at the functional sub-network levels, particularly involving the frontal lobe and the default mode network. Therefore, this approach may contribute to identify the neurophysio-pathology of ADHD, reducing the bias of connectomics-related methods.HighlightsTopological Data Analysis was implemented in functional connectomes.Betti curves were assessed based on the area under the curve, slope and kurtosis.The explored variables were robust along four different brain atlases.ADHD showed lower areas, suggesting decreased functional segregation.Frontal and default mode networks showed the greatest differences between groups.Graphical Abstract

Association between phthalates and externalizing behaviors and cortical thickness in children with attention deficit hyperactivity disorder

2014 ◽  
Vol 45 (8) ◽  
pp. 1601-1612 ◽  
Author(s):  
S. Park ◽  
J.-M. Lee ◽  
J.-W. Kim ◽  
J. H. Cheong ◽  
H. J. Yun ◽  
...  
Keyword(s):  
Attention Deficit Hyperactivity Disorder ◽  
Cortical Thickness ◽  
Attention Deficit ◽  
Symptom Severity ◽  
Adhd Symptoms ◽  
Phthalate Metabolites ◽  
Children With Adhd ◽  
Hyperactivity Disorder ◽  
Metabolite Concentrations ◽  
Phthalate Metabolite

Background.Previous studies have implicated the relationship between environmental phthalate exposure and attention deficit hyperactivity disorder (ADHD) symptoms of childhood, but no studies have been conducted in children who have a confirmed diagnosis of ADHD obtained through meticulous diagnostic testing. We aimed to determine whether phthalate metabolites in urine would be higher in children with ADHD than in those without ADHD and would correlate with symptom severity and cortical thickness in ADHD children.Method.A cross-sectional examination of urine phthalate metabolite concentrations was performed; scores for ADHD symptoms, externalizing problems, and continuous performance tests were obtained from 180 children with ADHD, and brain-imaging data were obtained from 115 participants. For the control group, children without ADHD (N = 438) were recruited. Correlations between phthalate metabolite concentrations and clinical measures and brain cortical thickness were investigated.Results.Concentrations of phthalate metabolites, particularly the di(2-ethylhexyl) phthalate (DEHP) metabolite, were significantly higher in boys with ADHD than in boys without ADHD. Concentrations of the di-n-butyl phthalate (DBP) metabolite were significantly higher in the combined or hyperactive-impulsive subtypes compared to the inattentive subtype, and the metabolite was positively correlated with the severity of externalizing symptoms. Concentrations of the DEHP metabolite were negatively correlated with cortical thickness in the right middle and superior temporal gyri.Conclusions.The results of this study suggest an association between phthalate concentrations and both the diagnosis and symptom severity of ADHD. Imaging findings suggest a negative impact of phthalates on regional cortical maturation in children with ADHD.

Examining the Interplay Among Negative Emotionality, Cognitive Functioning, and Attention Deficit/Hyperactivity Disorder Symptom Severity

2011 ◽  
Vol 17 (3) ◽  
pp. 502-510 ◽  
Author(s):  
Dione M. Healey ◽  
David J. Marks ◽  
Jeffrey M. Halperin
Keyword(s):  
Attention Deficit Hyperactivity Disorder ◽  
Cognitive Functioning ◽  
Attention Deficit ◽  
Adhd Symptom ◽  
Symptom Severity ◽  
Rating Scale ◽  
Neuropsychological Functioning ◽  
Neuropsychological Test ◽  
Negative Emotionality ◽  
Hyperactivity Disorder

AbstractCognition and emotion, traditionally thought of as largely distinct, have recently begun to be conceptualized as dynamically linked processes that interact to influence functioning. This study investigated the moderating effects of cognitive functioning on the relationship between negative emotionality and attention deficit/hyperactivity disorder (ADHD) symptom severity. A total of 216 (140 hyperactive/inattentive; 76 typically developing) preschoolers aged 3–4 years were administered a neuropsychological test battery (i.e., NEPSY). To avoid method bias, child negative emotionality was rated by teachers (Temperament Assessment Battery for Children-Revised), and parents rated symptom severity on the ADHD Rating Scale (ADHD-RS-IV). Hierarchical Linear Regression analyses revealed that both negative emotionality and Perceptual-Motor & Executive Functions accounted for significant unique variance in ADHD symptom severity. Significant interactions indicated that when negative emotionality is low, but not high, neuropsychological functioning accounts for significant variability in ADHD symptoms, with lower functioning predicting more symptoms. Emotional and neuropsychological functioning, both individually and in combination, play a significant role in the expression of ADHD symptom severity. (JINS, 2011, 17, 502–510)

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