scholarly journals Maturity of brain structures and white matter connectomes, and their relationship with psychiatric symptoms in youth

Author(s):  
Alex Luna ◽  
Joel Bernanke ◽  
Jiook Cha ◽  
Jonathan Posner

AbstractBackgroundBrain neuromaturation can be indexed using brain predicted age difference (BrainPAD), a metric derived by the application of machine learning (ML) algorithms to neuroimaging. Previous studies in youth have been limited to a single type of imaging data, single ML approach, or specific psychiatric condition. Here, we use multimodal neuroimaging and an ensemble ML algorithm to estimate BrainPAD and examine its relationship with broad measures of symptoms and functioning in youth.MethodsWe used neuroimaging from eligible participants in the Healthy Brain Network (HBN, N = 498). Participants with a Child Behavior Checklist Total Problem T-Score < 60 were split into training (N=215) and test sets (N=48). Morphometry estimates (from structural MRI), white matter connectomes (from diffusion MRI), or both were fed to an automated ML pipeline to develop BrainPAD models. The most accurate model was applied to a held-out evaluation set (N=249), and the association with several psychometrics was estimated.ResultsModels using morphometry and connectomes together had a mean absolute error of 1.16 years, outperforming unimodal models. After dividing participants into positive, normal, and negative BrainPAD groups, negative BrainPAD values were associated with more symptoms on the Child Behavior Checklist (negative=71.6, normal 59.0, p=0.011) and lower functioning on the Children’s Global Assessment Scale (negative=49.3, normal=58.3, p=0.002). Higher scores were associated with better performance on the Flanker task (positive=62.4, normal=52.5, p=0.006).ConclusionThese findings suggest that a multimodal approach, in combination with an ensemble method, yields a robust biomarker correlated with clinically relevant measures in youth.

2016 ◽  
Vol 29 (3) ◽  
pp. 751-758 ◽  
Author(s):  
Matthew D. Albaugh ◽  
Simon Ducharme ◽  
Sherif Karama ◽  
Richard Watts ◽  
John D. Lewis ◽  
...  

AbstractThere are multiple recent reports of an association between anxious/depressed (A/D) symptomatology and the rate of cerebral cortical thickness maturation in typically developing youths. We investigated the degree to which anxious/depressed symptoms are tied to age-related microstructural changes in cerebral fiber pathways. The participants were part of the NIH MRI Study of Normal Brain Development. Child Behavior Checklist A/D scores and diffusion imaging were available for 175 youths (84 males, 91 females; 241 magnetic resonance imagings) at up to three visits. The participants ranged from 5.7 to 18.4 years of age at the time of the scan. Alignment of fractional anisotropy data was implemented using FSL/Tract-Based Spatial Statistics, and linear mixed model regression was carried out using SPSS. Child Behavior Checklist A/D was associated with the rate of microstructural development in several white matter pathways, including the bilateral anterior thalamic radiation, bilateral inferior longitudinal fasciculus, left superior longitudinal fasciculus, and right cingulum. Across these pathways, greater age-related fractional anisotropy increases were observed at lower levels of A/D. The results suggest that subclinical A/D symptoms are associated with the rate of microstructural development within several white matter pathways that have been implicated in affect regulation, as well as mood and anxiety psychopathology.


2016 ◽  
Author(s):  
David O’Connor ◽  
Natan Vega Potler ◽  
Meagan Kovacs ◽  
Ting Xu ◽  
Lei Ai ◽  
...  

AbstractBackgroundAlthough typically measured during the resting state, a growing literature is illustrating the ability to map intrinsic connectivity in task and naturalistic viewing fMRI paradigms. These paradigms are drawing excitement due to their greater tolerability in clinical and developing populations and because they enable a wider range of analyses (e.g. inter-subject correlations). To be clinically useful, the test-retest reliability of connectivity measured during these paradigms needs to be established. This resource provides data for evaluating testretest reliability for full-brain connectivity patterns detected during each of four scan conditions that differ with respect to level of engagement (rest, abstract animations, movie clips, flanker task). Data is provided for thirteen participants, each scanned in twelve sessions with 10 minutes for each scan of the four conditions. Diffusion kurtosis imaging data was also obtained at each session.FindingsTechnical validation and demonstrative reliability analyses found that variation in intrinsic functional connectivity across sessions was greater than that attributable to scan condition. Between-condition reliability was generally high, particularly for the frontoparietal and default networks. Between-session reliabilities obtained separately for the different scan conditions were comparable, though notably lower than between-condition reliabilities.ConclusionsThe described resource provides a test-bed for quantifying the reliability of connectivity indices across conditions and time. The resource can be used to compare and optimize different frameworks for measuring connectivity and data collection parameters such as scan length. Additionally, investigators can explore the unique perspectives of the brain’s functional architecture offered by each of the scan conditions.


2017 ◽  
Author(s):  
Birkan Tunç ◽  
Drew Parker ◽  
Russell T. Shinohara ◽  
Mark A. Elliott ◽  
Kosha Ruparel ◽  
...  

AbstractStudying developmental changes in white matter connectivity is critical for understanding neurobiological substrates of cognition, learning, and neuropsychiatric disorders. This becomes especially important during adolescence when a rapid expansion of the behavioral repertoire occurs. Several factors such as brain geometry, genetic expression profiles, and higher level architectural specifications such as the presence of segregated modules have been associated with the observed organization of white matter connections. However, we lack understanding of the extent to which such factors jointly describe the brain network organization, nor have insights into how their contribution changes developmentally. We constructed a multifactorial model of white matter connectivity using Bayesian network analysis and tested it with diffusion imaging data from a large community sample. We investigated contributions of multiple factors in explaining observed connectivity, including architectural specifications, which promote a modular yet integrative organization, and brain’s geometric and genetic features. Our results demonstrated that the initially dominant geometric and genetic factors become less influential with age, whereas the effect of architectural specifications increases. The identified structural modules are associated with well-known functional systems, and the level of association increases with age. This integrative analysis provides a computational characterization of the normative evolution of structural connectivity during adolescence.


2019 ◽  
Vol 18 (1) ◽  
Author(s):  
Melody N. Grohs ◽  
◽  
Jess E. Reynolds ◽  
Jiaying Liu ◽  
Jonathan W. Martin ◽  
...  

Abstract Background Bisphenol A (BPA) is commonly used in the manufacture of plastics and epoxy resins. In North America, over 90% of the population has detectable levels of urinary BPA. Human epidemiological studies have reported adverse behavioral outcomes with BPA exposure in children, however, corresponding effects on children’s brain structure have not yet been investigated. The current study examined the association between prenatal maternal and childhood BPA exposure and white matter microstructure in children aged 2 to 5 years, and investigated whether brain structure mediated the association between BPA exposure and child behavior. Methods Participants were 98 mother-child pairs who were recruited between January 2009 and December 2012. Total BPA concentrations in spot urine samples obtained from mothers in the second trimester of pregnancy and from children at 3–4 years of age were analyzed. Children participated in a diffusion magnetic resonance imaging (MRI) scan at age 2–5 years (3.7 ± 0.8 years). Associations between prenatal maternal and childhood BPA and children’s fractional anisotropy and mean diffusivity of 10 isolated white matter tracts were investigated, controlling for urinary creatinine, child sex, and age at the time of MRI. Post-hoc analyses examined if alterations in white matter mediated the relationship of BPA and children’s scores on the Child Behavior Checklist (CBCL). Results Prenatal maternal urinary BPA was significantly associated with child mean diffusivity in the splenium and right inferior longitudinal fasciculus. Splenium diffusivity mediated the relationship between maternal prenatal BPA levels and children’s internalizing behavior (indirect effect: β = 0.213, CI [0.0167, 0.564]). No significant associations were found between childhood BPA and white matter microstructure. Conclusions This study provides preliminary evidence for the neural correlates of BPA exposure in humans. Our findings suggest that prenatal maternal exposure to BPA may lead to alterations in white matter microstructure in preschool aged children, and that such alterations mediate the relationship between early life exposure to BPA and internalizing problems.


Author(s):  
A. Gosch

Zusammenfassung: Fragestellung: In der vorliegenden Studie sollte geklärt werden, ob sich Mütter von Kindern mit geistiger Behinderung unterschiedlicher Ätiologie (Williams-Beuren-Syndrom - WBS, Down-Syndrom - DS, nichtsyndromaler Ätiologie - LB/GB) von Müttern nichtbehinderter Kinder in ihrem Belastungserleben unterscheiden. Methodik: Es wurden 85 Mütter von Kindern mit WBS, DS, LB/GB und Mütter von nichtbehinderten Kindern (VG) mithilfe des Patenting Stress Indexes (PSI) befragt. Den Müttern wurde zusätzlich die Child Behavior Checklist (CBCL) vorgelegt, um kindliche Verhaltensauffälligkeiten zu erfassen. Die Parallelisierung fand anhand desAlters der Kinder, des Geschlechts und der Wortschatztestleistung im Hamburg Wechsler Intelligenztest (HAWIK-R) statt. Ergebnisse: Mütter von Kindern mit WBS und DS weisen einen signifikanten höheren PSI-Gesamtstresswert auf als Mütter von Kindern mit LB/GB und VG. Dieses Ergebnis ist auf signifikante Unterschiede zwischen den Gruppen bezüglich des kindbezogenen Stresses, aber nicht der elternbezogenen Belastung, zurückzuführen. Auf Subskalenebene des Kinderbereichs fühlen sich Mütter von Kindern mit WBS und DS im Vergleich zu den anderen beiden Gruppen signifikant durch die kindlichen Anforderungen und dem wenig akzeptablen Verhalten ihres Kindes belastet. Mütter von Kindern mit LB/GB beschreiben sich ebenfalls als signifikant belasteter durch ein unakzeptables kindliches Verhalten als Mütter normalentwickelter Kinder. Mütter von Kindern mit WBS schätzen ihre Belastung durch ein hyperaktives Verhalten, eine geringe Anpassungsfähigkeit und größere Stimmungslabilität ihrer Kinder signifikant höher ein als Mütter der anderen drei Gruppen. Bezüglich des Erwachsenenbereichs schätzen sich Mütter von Kindern mit DS als signifikant depressiver und weniger kompetent in ihrem Erziehungsverhalten ein und geben mehr Gesundheitssorgen an als Mütter der anderen drei Gruppen. Mütter von Kindern mit LB/GB fühlen sich im Vergleich zu den anderen Gruppen am wenigsten durch partnerschaftliche Probleme belastet und in ihrer elterlichen Rolle eingeschränkt. Kein Zusammenhang kann zwischen dem kindlichen Alter, dem sozioökonomischen Status und dem Belastungsgrad gesehen werden, allerdings korrelieren der Grad der geistigen Behinderung als auch der Verhaltensauffälligkeiten signifikant mit dem mütterlichen Belastungsgrad. Schlussfolgerung: Es kann festgehalten werden, dass es sowohl allgemeine Belastungsfaktoren wie die hohen Anforderungen durch das Kind und sein unakzeptableres Verhalten gibt, die mit einer kindlichen Behinderung einhergehen als auch spezifische, die mit dem Verhaltensphänotyp eines Syndroms assoziiert sind.


Author(s):  
M. Noterdaeme ◽  
F. Minow ◽  
H. Amorosa

Zusammenfassung: Frage: Die Child Behavior Checklist (CBCL) wird in großen, unausgelesenen Stichproben verwendet, um Verhaltensauffälligkeiten bei Kindern und Jugendlichen zu erfassen. In der hier vorgelegten Arbeit wird untersucht, inwieweit sich die CBCL eignet, um die bei einer Stichprobe entwicklungsgestörter Kinder typischerweise auftretenden Probleme zu erfassen. Methodik: Es wurden zwei Stichproben entwicklungsgestörter Kinder, bei denen Schwierigkeiten im Bereich der Sprache und der Kommunikation bestanden, untersucht. Es handelte sich um 34 Kinder mit einem frühkindlichen Autismus und 34 alters-, geschlechts- und intelligenzparallelisierte Kinder mit einer spezifischen Sprachentwicklungsstörung. Bei den zwei Stichproben wurde im Rahmen der routinemäßigen Abklärung der Symptomatik die CBCL ausgefüllt. Ergebnisse: Die Hälfte der sprachgestörten Kinder hatten im CBCL-Gesamtscore Werte im klinischen Bereich. Bei diesen Kindern sind die Probleme vor allem auf den Skalen «Aufmerksamkeitsstörungen», «Soziale Probleme» und «Zurückgezogenheit» anzutreffen. Etwa zwei Drittel der autistischen Kinder werden auf den oben genannten Syndromskalen als auffällig eingestuft. 32 der 34 autistischen Kinder erreichen auf der Skala V «Schizoid/Zwanghaft» auffällige Werte, während dies nur für ein sprachgestörtes Kind der Fall ist. Die Einzelitem-Analyse zeigt, daß in beiden Stichproben überdurchschnittlich häufig über entwicklungsbezogene Probleme (Sprechprobleme, Einnässen…) berichtet wird. Schlußfolgerungen: Die CBCL ist geeignet, um die bei entwicklungsgestörten Kindern charakteristischen Verhaltensauffälligkeiten zu erfassen. Diese Auffälligkeite n werden sowohl auf der Ebene der Syndromskalen wie auch durch Einzelitems erfaßt. Hohe Werte auf der Skala «Schizoid/Zwanghaft» sollten bei diesen Kindern Anlaß zu einer gezielten diagnostischen Abklärung eines frühkindlichen Autismus geben.


1994 ◽  
Author(s):  
Astrid De Groot ◽  
Hans M. Koot ◽  
Frank C. Verhulst

2020 ◽  
Vol 10 (2) ◽  
pp. 79 ◽  
Author(s):  
Yanni Liu ◽  
Gregory L. Hanna ◽  
Barbara S. Hanna ◽  
Haley E. Rough ◽  
Paul D. Arnold ◽  
...  

The pathophysiology of attention-deficit/hyperactivity disorder (ADHD) involves deficits in performance monitoring and adaptive adjustments. Yet, the developmental trajectory and underlying neural correlates of performance monitoring deficits in youth with ADHD remain poorly understood. To address the gap, this study recruited 77 children and adolescents with ADHD and 77 age- and gender-matched healthy controls (HC), ages 8–18 years, who performed an arrow flanker task during electroencephalogram recording. Compared to HC, participants with ADHD responded more slowly and showed larger reaction time variability (RTV) and reduced post-error slowing; they also exhibited reduced error-related negativity (ERN) and error positivity effects, and reduced N2 and P3 congruency effects. Age effects were observed across groups: with increasing age, participants responded faster, with less variability, and with increased post-error slowing. They also exhibited increased ERN effects and increased N2 and P3 congruency effects. Increased RTV and reduced P3 amplitude in incongruent trials were associated with increased ADHD Problems Scale scores on the Child Behavior Checklist across groups. The altered behavioral and ERP responses in ADHD are consistent with the pattern associated with younger age across groups. Further research with a longitudinal design may determine specific aspects of developmental alteration and deficits in ADHD during performance monitoring.


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