The shared white matter developmental trajectory anomalies of attention-deficit/hyperactivity disorder and autism spectrum disorders: A meta-analysis of diffusion tensor imaging studies

Zhang, Kangfuxi; Fu, Zhao; Lai, Qingjuan; Zhao, Yilu; Liu, Jing; Cao, Qingjiu

doi:10.1016/j.pnpbp.2023.110731

Cited by 5 publications

(3 citation statements)

References 90 publications

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“…Both ADHD and ASD show overlapping abnormalities in brain structures, particularly in the corpus callosum. Common atypical brain white matter patterns, especially shared microstructural abnormalities in the splenium of the Corpus Callosum, emerge as a characteristic feature (Zhao et al, 2022;Zhang et al, 2023). However, studies on ADHD's brain connectivity, using diffusion weighted imaging (DWI), present inconsistent findings.…”

Section: Etiological Comorbidity Of Ndds: Genetics Anatomy and Hereditymentioning

confidence: 99%

Common Comorbid and Interrelated Psychological Traits Among Children with Neurodevelopmental Disorders

Abojedi,

Rasras,

Obaid

2024

IJSE

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Background: Neurodevelopmental Disorders (NDDs) in children present with complex psychological and behavioral symptoms, often complicating clinical assessment. The study provides an overview on comorbid psychological traits or psychiatric disorders in children with NDDs in Palestine, specifically focusing on Autism Spectrum Disorder (ASD), Attention Deficit/Hyperactivity Disorder (ADHD), Specific Learning Disorder (SLD), and Intellectual Developmental Disorder (IDD). Method: Using a Descriptive Analytic approach, 175 mothers rated their children’s psychological traits using a questionnaire developed from DSM 5 TR and ICD 11th criteria. The questionnaire covered 11 domains of comorbidity. Results: Notable relations were found that necessitate clinical attention. Specific disorders like Phobic Disorder, Camouflage and Noli Me Tangere were more prevalent in children with ASD, while Phobic Disorder followed by Depression was evident in IDD. ADHD and SLD majorly exhibit Phobic Disorder and Anxiety Disorder. The study highlighted evident comorbidity and interrelation of certain psychological traits/disorders among NDDs. Conclusions: Recognizing comorbid psychological traits in assessment can enhance case management, recognize individual and cultural differences, and improve care for individuals with NDDs.

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Section: Etiological Comorbidity Of Ndds: Genetics Anatomy and Hereditymentioning

confidence: 99%

Common Comorbid and Interrelated Psychological Traits Among Children with Neurodevelopmental Disorders

Abojedi,

Rasras,

Obaid

2024

IJSE

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“…For example, the prevalence of cooccurring ADHD in autism is estimated to be 28% [95% CI: (25-32)] (8), while 21% [95% CI: (18-24)] of children with ADHD are reported to meet clinical thresholds for autism (9). Autism and ADHD are also reported to share genetic underpinnings (10) and neurobiological features including similarities in brain structure (11)(12)(13), function (14,15), and connectivity (16,17). Shared phenotypic and neurocognitive features also exist between autism and ADHD.…”

Section: Introductionmentioning

confidence: 99%

Investigating heterogeneity across autism, ADHD, and typical development using measures of cortical thickness, surface area, cortical/subcortical volume, and structural covariance

Sadat-Nejad,

Vandewouw,

Cardy

et al. 2023

Front. Child Adolesc. Psychiatry

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IntroductionAttention-deficit/hyperactivity disorder (ADHD) and autism are multi-faceted neurodevelopmental conditions with limited biological markers. The clinical diagnoses of autism and ADHD are based on behavioural assessments and may not predict long-term outcomes or response to interventions and supports. To address this gap, data-driven methods can be used to discover groups of individuals with shared biological patterns.MethodsIn this study, we investigated measures derived from cortical/subcortical volume, surface area, cortical thickness, and structural covariance investigated of 565 participants with diagnoses of autism [n = 262, median(IQR) age = 12.2(5.9), 22% female], and ADHD [n = 171, median(IQR) age = 11.1(4.0), 21% female] as well neurotypical children [n = 132, median(IQR) age = 12.1(6.7), 43% female]. We integrated cortical thickness, surface area, and cortical/subcortical volume, with a measure of single-participant structural covariance using a graph neural network approach.ResultsOur findings suggest two large clusters, which differed in measures of adaptive functioning (χ2 = 7.8, P = 0.004), inattention (χ2 = 11.169, P < 0.001), hyperactivity (χ2 = 18.44, P < 0.001), IQ (χ2 = 9.24, P = 0.002), age (χ2 = 70.87, P < 0.001), and sex (χ2 = 105.6, P < 0.001).DiscussionThese clusters did not align with existing diagnostic labels, suggesting that brain structure is more likely to be associated with differences in adaptive functioning, IQ, and ADHD features.

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“…These comorbid psychiatric conditions could potentially influence neuroimaging findings. For instance, shared white matter abnormalities have been reported between ASD and ADHD (Zhang et al ., 2023 ). Additionally, increased functional connectivity between the prefrontal and frontoparietal regions, as well as between the orbitofrontal and occipital regions, has been observed in ASD comorbid with ADHD compared to ASD alone (Lin et al ., 2023 ).…”

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confidence: 99%

Early diagnosis of autism spectrum disorder using structural connectivity biomarker

Lau,

Leung,

Poon

et al. 2024

Psychoradiology

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The shared white matter developmental trajectory anomalies of attention-deficit/hyperactivity disorder and autism spectrum disorders: A meta-analysis of diffusion tensor imaging studies

Cited by 5 publications

References 90 publications

Common Comorbid and Interrelated Psychological Traits Among Children with Neurodevelopmental Disorders

Common Comorbid and Interrelated Psychological Traits Among Children with Neurodevelopmental Disorders

Investigating heterogeneity across autism, ADHD, and typical development using measures of cortical thickness, surface area, cortical/subcortical volume, and structural covariance

Early diagnosis of autism spectrum disorder using structural connectivity biomarker

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