A systematic review and meta-analysis of tract-based spatial statistics studies regarding attention-deficit/hyperactivity disorder

Chen, Lizhou; Hu, Xinyu; Ouyang, Luo; He, Ning; Liao, Yi; Liu, Qi; Zhou, Ming; Wu, Min; Huang, Xiaoqi; Gong, Qiyong

doi:10.1016/j.neubiorev.2016.07.022

Cited by 110 publications

(108 citation statements)

References 75 publications

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“…The widespread pattern of altered white matter microstructure observed in the case-control comparison is concordant with findings from the previous meta-analyses (Chen et al, 2016;van Ewijk et al, 2012). In these reports, Figure 2 This figure shows the correlation between FA in the ROIs from the categorical/dimensional TBSS and cognitive function, that is, the left anterior/ superior corona radiata (the top two panels) and left internal capsule (third panel), and the inhibition (indicated by Winf from the Stroop color-word task) in children with ADHD; the right posterior radiata (the bottom panel) and the inhibition indicator from BRIEF.…”

Section: Discussionsupporting

confidence: 89%

“…More recent studies in larger cohorts (over 200 participants) also found disturbed white matter microstructure in widespread brain regions in adolescent and adult participants with ADHD, including corpus callosum, superior longitudinal fasciculus, and internal capsule (Onnink et al, 2015;van Ewijk et al, 2014). The most recent meta-analysis also identified reduced FA in participants with ADHD compared with controls in corpus callosum (CC), right cingulum and sagittal stratum, and left tapetum (Chen et al, 2016). In addition, the FA value of the CC in patients with ADHD was found to negatively correlate with age.…”

Section: Introductionmentioning

confidence: 98%

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White Matter Microstructural Alterations in Children with ADHD: Categorical and Dimensional Perspectives

Bralten

Cao

et al. 2016

Neuropsychopharmacol

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Studies of brain alterations in children with attention-deficit/hyperactivity disorder (ADHD) have shown heterogeneous results. The aims of the current study were to investigate white matter microstructure in children using both categorical and dimensional definitions of ADHD and to determine the functional consequences of observed alterations. In a large single-site sample of children (aged 8-15 years) with ADHD (n = 83) and healthy controls (n = 122), we used tract-based spatial statistics on diffusion tensor imaging data to investigate whole-skeleton differences of fractional anisotropy (FA), mean, axial, and radial diffusivity (MD, AD, RD), and mode of anisotropy related to ADHD status (categorical) and symptom severity (dimensional). For categorical differences observed, we analyzed their association with cognitive functioning in working memory and inhibition. Compared with healthy controls, children with ADHD showed decreased FA and increased RD in widespread, overlapping brain regions, mainly in corpus callosum (CC) and major tracts in the left hemisphere. Decreased FA was associated with inhibition performance in the participants with ADHD. Using dimensional definitions, greater hyperactivity/ impulsivity symptom severity was associated with higher FA also in widespread regions, mainly in CC and major tracts in the right hemisphere. Our study showed white matter alterations to be related to ADHD status and symptom severity in patients. The coexistence of decreased FA and increased RD in the absence of alterations in MD or AD might indicate altered myelination as a pathophysiological factor in ADHD.

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Section: Discussionsupporting

confidence: 89%

Section: Introductionmentioning

confidence: 98%

White Matter Microstructural Alterations in Children with ADHD: Categorical and Dimensional Perspectives

Bralten

Cao

et al. 2016

Neuropsychopharmacol

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“…Two meta‐analyses of DTI studies with individuals with ADHD have been reported (Chen et al., ; Van Ewijk et al., ). The first study integrated both WBVBA and TBSS study into a whole brain template (Van Ewijk et al., ).…”

Section: Discussionmentioning

confidence: 99%

“…This procedure is problematic because it violates the assumption under the null hypothesis that the expected difference of FA is equal at every voxel. Although the more recent study overcame this drawback, it did so by completely excluding WBVBA studies (Chen et al., ). Thus, neither analysis considered replicability of findings across different preprocessing and analytic procedures.…”

Section: Discussionmentioning

confidence: 99%

Research Review: Diffusion tensor imaging studies of attention‐deficit/hyperactivity disorder: meta‐analyses and reflections on head motion

Aoki

Cortese

Castellanos

2017

Child Psychology Psychiatry

109

114

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A growing diffusion tensor imaging (DTI) literature (total N = 1,717) and a plethora of apparent findings suggest atypical interhemispheric connection in ADHD. However, FA results in ADHD should be considered with caution, since many studies did not examine potential group differences in head motion, and most of the studies reporting no difference in motion showed no significant results. Future studies should address head motion as a priority and assure that groups do not differ in head motion.

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“…Prior ADHD neuroimaging studies have shown that the inhibitory behavioral control impairments in ADHD are related to regional abnormalities in the inferior frontal gyrus (IFG), anterior cingulate cortex (ACC), temporal/parietal areas, and basal ganglia (Chen et al, ; Chen et al, ; Lei et al, ; Lei, Du, et al, ; Lei, Li, et al, ; Li, He, et al, ; Li, Li, et al, ; Sun et al, ). Using a seed‐based functional connectivity analysis, we found that alterations in frontostriatal circuitry correlated with the degree of inhibitory executive dysfunction in ADHD (Li, He, et al, ; Li, Li, et al, ).…”

Section: Introductionmentioning

confidence: 99%

Disrupted brain functional networks in drug‐naïve children with attention deficit hyperactivity disorder assessed using graph theory analysis

Chen

Huang

et al. 2019

Human Brain Mapping

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Neuroimaging studies have revealed functional brain network abnormalities in attention deficit hyperactivity disorder (ADHD), but the results have been inconsistent, potentially related to confounding medication effects. Furthermore, specific topological alterations in functional networks and their role in behavioral inhibition dysfunction remain to be established. Resting‐state functional magnetic resonance imaging was performed on 51 drug‐naïve children with ADHD and 55 age‐matched healthy controls. Brain functional networks were constructed by thresholding the partial correlation matrices of 90 brain regions, and graph theory was used to analyze network topological properties. The Stroop test was used to assess cognitive inhibitory abilities. Nonparametric permutation tests were used to compare the topological architectures in the two groups. Compared with healthy subjects, brain networks in ADHD patients demonstrated altered topological characteristics, including lower global (FDR q = 0.01) and local efficiency (p = 0.032, uncorrected) and a longer path length (FDR q = 0.01). Lower nodal efficiencies were found in the left inferior frontal gyrus and anterior cingulate cortex in the ADHD group (FDR both q < 0.05). Altered global and nodal topological efficiencies were associated with the severity of inhibitory cognitive control deficits and hyperactivity symptoms in ADHD (p <0 .05). Alterations in network topologies in drug‐naïve ADHD patients indicate weaker small‐worldization with decreased segregation and integration of functional brain networks. Deficits in the cingulo‐fronto‐parietal attention network were associated with inhibitory control deficits.

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A systematic review and meta-analysis of tract-based spatial statistics studies regarding attention-deficit/hyperactivity disorder

Cited by 110 publications

References 75 publications

White Matter Microstructural Alterations in Children with ADHD: Categorical and Dimensional Perspectives

White Matter Microstructural Alterations in Children with ADHD: Categorical and Dimensional Perspectives

Research Review: Diffusion tensor imaging studies of attention‐deficit/hyperactivity disorder: meta‐analyses and reflections on head motion

Disrupted brain functional networks in drug‐naïve children with attention deficit hyperactivity disorder assessed using graph theory analysis

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