Longitudinal Changes of Resting-State Networks in Children With Attention-Deficit/Hyperactivity Disorder and Typically Developing Children

Soman, Shania Mereen; Vijayakumar, Nandita; Ball, Gareth; Hyde, Christian; Silk, Timothy J.

doi:10.1016/j.bpsc.2022.01.001

Cited by 8 publications

(20 citation statements)

References 84 publications

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“…To facilitate biological plausible interpretations we further decoded associations of these PLS gene lists with neurophysiologocal components. We found that the PLS1 gene sets could robustly predict connectome architecture in both visual and limbic networks, which provide a molecular explanation of evidence that ADHD patients show dysfunctions in visual attention and reward processing 35,68,69,70,71,72 . This was also paralleled by the finding that such gene expressions were closely related to cognitive functions, such as inhibitory control and reward, at the core of symptomatic dysfunctions in ADHD.…”

Section: Gene-set Decoding Of Pls Componentsmentioning

confidence: 65%

“…By using connectome gradient analysis which models the intrinsic functional brain architectures in a biologically plausible fashion, we identified dysregulated connectome gradient scores encompassing the LOFC and MTG in ADHD patients 9,33,34,35 . Abnormal architecture of the regional connectome gradients in these regions were associated with cognitive domains such as wording and episodic memory processing.…”

Section: Cortical Gradient Perturbations In Adhdmentioning

confidence: 99%

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Cortical gradient perturbation in attention deficit hyperactivity disorder correlates with neurotransmitter-, cell type-specific and chromosome- transcriptomic signatures

Chen

Liu

et al. 2023

Preprint

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Neurofunctional dysregulations in spatially discrete areas or isolated pathways have been suggested as neural markers for attention deficit hyperactivity disorder (ADHD). However, multiscale perspectives into the neurobiological underpins of ADHD spanning multiple biological systems remain sparse. This points to the need of multi-levels of analysis encompassing brain functional organization and its correlation with molecular and cell-specific transcriptional signatures are stressed. Here, we capitalized on diffusion mapping embedding model to derive the functional connectome gradient, and deployed multivariate partial least square (PLS) method to uncover the enrichment of neurotransmitomic, cellular and chromosomal connectome-transcriptional signatures of ADHD. Compared to typical control, ADHD children presented connectopic cortical perturbations in lateral orbito-frontal and superior temporal regions, which had also been validated in another independent sample. This gradient-derived variants in ADHD further aligned spatially with distributions of GABAA/BZ and 5-HT2A receptors and co-varied with genetic transcriptional expression. Cognitive decoding and gene-expression annotation showed the correlates of these variants in memory, emotional regulation and spatial attention. Moreover, the gradient-derived transcriptional signatures of ADHD exhibited enriched expression of oligodendrocyte precursors and endothelial cells, and were mainly involved as variants of chromosome 18, 19 and X. In conclusion, our findings bridged in-vivo neuroimging assessed functional brain organization patterns to a multi-level molecular pathway in ADHD, possibly shedding light on the interrelation of biological systems that may coalesce to the emergence of this disorder.

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Section: Gene-set Decoding Of Pls Componentsmentioning

confidence: 65%

Section: Cortical Gradient Perturbations In Adhdmentioning

confidence: 99%

Cortical gradient perturbation in attention deficit hyperactivity disorder correlates with neurotransmitter-, cell type-specific and chromosome- transcriptomic signatures

Chen

Liu

et al. 2023

Preprint

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“…The control group similarly had to screen negative to parent and teacher Conners 3 ADHD Index, and not meet criteria for ADHD in the diagnostic interview at any waves. Written informed consent, in line with approval from the Human Research Ethics Committee of the Royal Children's Hospital, was obtained from all parents (Soman et al, 2022 ).…”

Section: Methodsmentioning

confidence: 99%

“…Participants were instructed to keep their eyes open and to look at a fixation cross. High Angular Resolution Diffusion Imaging (HARDI) data were acquired using a multi‐band factor of 3 with the following parameters: b = 2800 s/mm 2 , 63 slices, matrix size = 110 × 100, voxel size = 2.4 mm 3 , FOV = 260 × 260 mm, bandwidth = 1748 Hz, acquisition time = 3 min 57 s. T1 weighted images were acquired using a multi‐echo magnetization prepared rapid gradient‐echo (MEMPRAGE) sequence along with navigator based prospective motion correction with the parameters: TR = 2530 ms, TE = 1.77, 3.51, 5.32 and 7.2 ms, FOV = 230 × 230 mm, FA = 7°, axial slices = 176, matrix size = 256 × 232, voxel size = 0.9 mm 3 , acquisition time = 6 min 52 s (Soman et al, 2022 ).…”

Section: Methodsmentioning

confidence: 99%

Functional and structural brain network development in children with attention deficit hyperactivity disorder

Soman

Vijayakumar

Thomson

et al. 2023

Human Brain Mapping

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Attention deficit hyperactivity disorder (ADHD) is a prevalent childhood neurodevelopmental disorder. Given the profound brain changes that occur during childhood and adolescence, it is important to examine longitudinal changes of both functional and structural brain connectivity across development in ADHD. This study aimed to examine the development of functional and structural connectivity in children with ADHD compared to controls using graph metrics. One hundred and seventy five individuals (91 children with ADHD and 84 non‐ADHD controls) participated in a longitudinal neuroimaging study with up to three waves. Graph metrics were derived from 370 resting state fMRI (197 Control, 173 ADHD) and 297 diffusion weighted imaging data (152 Control, 145 ADHD) acquired between the ages of 9 and 14. For functional connectivity, children with ADHD (compared to typically developing children) showed lower degree, local efficiency and betweenness centrality predominantly in parietal, temporal and visual cortices and higher degree, local efficiency and betweenness centrality in frontal, parietal, and temporal cortices. For structural connectivity, children with ADHD had lower local efficiency in parietal and temporal cortices and, higher degree and betweenness centrality in frontal, parietal and temporal cortices. Further, differential developmental trajectories of functional and structural connectivity for graph measures were observed in higher‐order cognitive and sensory regions. Our findings show that topology of functional and structural connectomes matures differently between typically developing controls and children with ADHD during childhood and adolescence. Specifically, functional and structural neural circuits associated with sensory and various higher order cognitive functions are altered in children with ADHD.

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“…Such studies may be helpful in understanding the potential pathological mechanisms for treating functional impairment and in identifying novel targets for future non-pharmacological treatment. In addition, the brain development trajectories of children with ADHD differ from those of typically developing children ( Soman et al, 2022 ). Previous studies on the effects of long-term medication administration on brain function may neglect the influence of the natural development of ADHD on brain function ( Friedman and Rapoport, 2015 ).…”

Section: Introductionmentioning

confidence: 99%

Shared and Unique Effects of Long-Term Administration of Methylphenidate and Atomoxetine on Degree Centrality in Medication-Naïve Children With Attention-Deficit/Hyperactive Disorder

Yuan

Pei

et al. 2022

International Journal of Neuropsychopharmacology

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Background Although methylphenidate (MPH) and atomoxetine (ATX) can improve clinical symptoms and functional impairments in attention deficit/hyperactive disorder (ADHD), the underlying psychopharmacological mechanism have not been clearly elucidated. Therefore, we aimed to explore the shared and unique neurologic basis of these two medications in alleviating the clinical symptoms and functional impairments observed in ADHD. Methods Sixty-seven ADHD and 44 age-matched children with typical development were finally included and underwent resting-state functional magnetic resonance imaging (fMRI) scans at baseline. Then patients were assigned to MPH, ATX or untreated subgroups, based on the patients’ and their parents’ choice, for a 12-week follow-up, and underwent a second fMRI scan. The treatment effect on degree centrality (DC) was identified and correlated with clinical symptoms and functional impairments in the ADHD group. Results Both of MPH and ATX normalised the DC value in extensive brain regions mainly involving fronto-cingulo-parieto-cerebellum circuits. However, ATX showed limited significant effects on the cerebellum compared to ADHD at baseline. The improvements in clinical symptoms were correlated with increased DC in the right inferior temporal gyrus in both MPH and ATX subgroups, but showed opposite effects. The alleviation of functional impairments in the school/learning domain negatively correlated with decreased DC in the bilateral cerebellum after MPH treatment, while the family functional domain positively correlated with decreased DC in the cerebellum and negatively correlated with decreased DC in the postcentral gyrus after ATX treatment. Conclusions Both MPH and ATX can normalise abnormal brain functions that mainly involve the fronto-cingulo-parieto-cerebellum circuit in ADHD. Furthermore, the two medications affected shared and unique effective brain regions to alleviate clinical symptoms and functional impairment.

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Longitudinal Changes of Resting-State Networks in Children With Attention-Deficit/Hyperactivity Disorder and Typically Developing Children

Cited by 8 publications

References 84 publications

Cortical gradient perturbation in attention deficit hyperactivity disorder correlates with neurotransmitter-, cell type-specific and chromosome- transcriptomic signatures

Cortical gradient perturbation in attention deficit hyperactivity disorder correlates with neurotransmitter-, cell type-specific and chromosome- transcriptomic signatures

Functional and structural brain network development in children with attention deficit hyperactivity disorder

Shared and Unique Effects of Long-Term Administration of Methylphenidate and Atomoxetine on Degree Centrality in Medication-Naïve Children With Attention-Deficit/Hyperactive Disorder

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