Evaluation of individual-based morphological brain network alterations in children with attention-deficit/hyperactivity disorder: a multi-method investigation

Su, Shu; Chen, Yingqian; Qian, Long; Dai, Yan; Ye, Zi; Lin, Liping; Zhang, Hongyu; Liu, Meina; Zhao, Jing; Yang, Zhiyun

doi:10.1007/s00787-022-02072-w

Cited by 10 publications

(6 citation statements)

References 40 publications

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“…Hong et al, 2017;Lee et al, 2005). A topological study based on brain structure found that nodal betweenness was significantly decreased in the left IOG and correlated with clinical symptom severity of ADHD (Su et al, 2022). What is more important is the finding in studies of drug therapy that reductions in inattentive symptoms were related to increased fALFF in the left LG and left IOG for ADHD children treated with atomoxetine (Shang et al, 2016).…”

Section: Discussionmentioning

confidence: 99%

Exploring the Potential “Brain-Cognition-Behavior” Relationship in Children With ADHD Based on Resting-State Brain Local Activation and Functional Connectivity

Feng,

Zhu,

Guo

et al. 2023

J Atten Disord

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Objective: Exploring how abnormal brain function in children with ADHD affects executive function and ultimately leads to behavioral impairment provides a theoretical basis for clinically targeted neurotherapy and cognitive training. Method: Amplitude of low frequency fluctuations (ALFF), regional homogeneity (ReHo), and seed-based FC were analyzed in 53 ADHD and 52 healthy controls. The “brain-cognition-behavior” relationship was further explored using mediation analysis. Results: ADHD showed abnormal local activation in the middle temporal gyrus (MTG), inferior occipital gyrus and inferior frontal gyrus (IFG) and reduced FC between the IFG and the cerebellum. ADHD diagnosis may affect ALFF of MTG and further modulate shift and finally affect inattentive symptoms. It may also affect the total symptoms through the FC of the IFG with the cerebellum. Conclusion: ADHD showed extensive spontaneous activity abnormalities and frontal-cerebellar FC impairments. Localized functional abnormalities in the MTG may affect the shift in EF, resulting in attention deficit behavior.

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Section: Discussionmentioning

confidence: 99%

Exploring the Potential “Brain-Cognition-Behavior” Relationship in Children With ADHD Based on Resting-State Brain Local Activation and Functional Connectivity

Feng,

Zhu,

Guo

et al. 2023

J Atten Disord

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“…R and ORBmid.L and between the IOG.L and PCG.R were significantly enhanced. (Su et al, 2023) have shown that the PCG and IOG had abnormal brain connections. Q.…”

Section: Discussionmentioning

confidence: 99%

Aberrant Functional Connectivity in Core–Periphery Structure Based on WSBM in ADHD

Li,

Hou,

Zhang

et al. 2023

J Atten Disord

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Objective: Brain network studies have revealed that the community structure of ADHD is altered. However, these studies have only focused on modular community structure, ignoring the core–periphery community structure. Method: This paper employed the weighted stochastic block model to divide the functional connectivity (FC) into 10 communities. And we adopted core score to define the core–periphery structure of FC. Finally, connectivity strength (CS) and disruption index (DI) were used to evaluate the changes of core–periphery structure in ADHD. Results: The core community of visual network showed reduced CS and a positive value of DI, while the CS of periphery community was enhanced. In addition, the interaction between core communities (involving the sensorimotor and visual network) and periphery community of attention network showed increased CS and a negative valve of DI. Conclusion: Anomalies in core–periphery community structure provide a new perspective for understanding the community structure of ADHD.

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“…61 Individual morphological networks were applied in some studies of neuropsychiatric disorders in children as well. Su et al 62 found abnormal morphological connectivity patterns in attention-deficit/hyperactivity disorder (ADHD) children using three methods of network construction, and underlined the effect of abnormal morphological network architecture on brain maturation in children with ADHD. The brain morphological networks of children with autism spectrum disorder (ASD) were shown to be less integrated than those of typically developing children.…”

Section: Neuropsychiatric Disordersmentioning

confidence: 99%

Individual‐level brain morphological similarity networks: Current methodologies and applications

Cai

Wang

et al. 2023

CNS Neurosci Ther

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AimsThe human brain is an extremely complex system in which neurons, clusters of neurons, or regions are connected to form a complex network. With the development of neuroimaging techniques, magnetic resonance imaging (MRI)‐based brain networks play a key role in our understanding of the intricate architecture of human brain. Among them, the structural MRI‐based brain morphological network approach has attracted increasing attention due to the advantages in data acquisition, image quality, and in revealing the structural organizing principles intrinsic to the brain. This review is to summarize the methodology and related applications of individual‐level morphological networks.BackgroundThere have been a growing number of studies related to brain morphological similarity networks. Conventional morphological networks are intersubject covariance networks constructed using a certain morphological indicator of a group of subjects; individual‐level morphological networks, on the other hand, measure the morphological similarity between brain regions for individual brains and can reflect the morphological information of single subjects. In recent years, individual morphological networks have demonstrated significant worth in exploring the topological changes of the human brain under both normal and disease conditions. Such studies provided novel perspectives for understanding human brain development and exploring the pathological mechanisms of neuropsychiatric disorders.ConclusionThis paper mainly focuses on the studies of brain morphological networks at the individual level, introduces several ways for network construction, reviews representative work in this field, and finally points out current problems and future directions.

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Evaluation of individual-based morphological brain network alterations in children with attention-deficit/hyperactivity disorder: a multi-method investigation

Cited by 10 publications

References 40 publications

Exploring the Potential “Brain-Cognition-Behavior” Relationship in Children With ADHD Based on Resting-State Brain Local Activation and Functional Connectivity

Exploring the Potential “Brain-Cognition-Behavior” Relationship in Children With ADHD Based on Resting-State Brain Local Activation and Functional Connectivity

Aberrant Functional Connectivity in Core–Periphery Structure Based on WSBM in ADHD

Individual‐level brain morphological similarity networks: Current methodologies and applications

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