Altered single‐subject gray matter structural networks in drug‐naïve attention deficit hyperactivity disorder children

Altered topological organization of brain structural covariance networks has been observed in attention deficit hyperactivity disorder (ADHD). However, results have been inconsistent, potentially related to confounding medication effects. In addition, since structural networks are traditionally cons...

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Vydáno v:	Human brain mapping Ročník 43; číslo 4; s. 1256 - 1264
Hlavní autoři:	Chen, Ying, Lei, Du, Cao, Hengyi, Niu, Running, Chen, Fuqin, Chen, Lizhou, Zhou, Jinbo, Hu, Xinyu, Huang, Xiaoqi, Guo, Lanting, Sweeney, John A., Gong, Qiyong
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Hoboken, USA John Wiley & Sons, Inc 01.03.2022
Témata:	Adolescent Amygdala Attention Deficit Disorder with Hyperactivity - diagnostic imaging Attention Deficit Disorder with Hyperactivity - pathology Attention Deficit Disorder with Hyperactivity - physiopathology Attention deficit hyperactivity disorder Automation Brain Brain architecture Child Children Circuits Clustering Cognitive ability cognitive deficits Comorbidity Female Flexibility Frontal gyrus Globus pallidus Graph theory Gray Matter - diagnostic imaging Gray Matter - pathology gray matter networks Humans Impulsive behavior Magnetic Resonance Imaging Male Morphology Nerve Net - diagnostic imaging Nerve Net - pathology Network topologies Neuroimaging Permutations Precentral gyrus psychoradiology Software Sparsity Substantia grisea symptom severity Temporal gyrus China cognitive deficits symptom severity attention deficit hyperactivity disorder gray matter networks psychoradiology
ISSN:	1065-9471, 1097-0193, 1097-0193
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Shrnutí:	Altered topological organization of brain structural covariance networks has been observed in attention deficit hyperactivity disorder (ADHD). However, results have been inconsistent, potentially related to confounding medication effects. In addition, since structural networks are traditionally constructed at the group level, variabilities in individual structural features remain to be well characterized. Structural brain imaging with MRI was performed on 84 drug‐naïve children with ADHD and 83 age‐matched healthy controls. Single‐subject gray matter (GM) networks were obtained based on areal similarities of GM, and network topological properties were analyzed using graph theory. Group differences in each topological metric were compared using nonparametric permutation testing. Compared with healthy subjects, GM networks in ADHD patients demonstrated significantly altered topological characteristics, including higher global and local efficiency and clustering coefficient, and shorter path length. In addition, ADHD patients exhibited abnormal centrality in corticostriatal circuitry including the superior frontal gyrus, orbitofrontal gyrus, medial superior frontal gyrus, precentral gyrus, middle temporal gyrus, and pallidum (all p < .05, false discovery rate [FDR] corrected). Altered global and nodal topological efficiencies were associated with the severity of hyperactivity symptoms and the performance on the Stroop and Wisconsin Card Sorting Test tests (all p < .05, FDR corrected). ADHD combined and inattention subtypes were differentiated by nodal attributes of amygdala (p < .05, FDR corrected). Alterations in GM network topologies were observed in drug‐naïve ADHD patients, in particular in frontostriatal loops and amygdala. These alterations may contribute to impaired cognitive functioning and impulsive behavior in ADHD. Alterations in gray matter network topologies were observed in drug‐naïve attention deficit hyperactivity disorder (ADHD) patients, in particular in frontostriatal loops and amygdala. These alterations may contribute to impaired cognitive functioning and impulsive behavior in ADHD.
Bibliografie:	Funding information National Natural Science Foundation of China, Grant/Award Numbers: 81801358, 81621003, 81801683, 81761128023, 81820108018, 82027808 Ying Chen and Du Lei contributed equally to this work. ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 content type line 23 Funding information National Natural Science Foundation of China, Grant/Award Numbers: 81801358, 81621003, 81801683, 81761128023, 81820108018, 82027808
ISSN:	1065-9471 1097-0193 1097-0193
DOI:	10.1002/hbm.25718