Abnormal functional network centrality in drug-naïve boys with attention-deficit/hyperactivity disorder

Zhou, Ming; Yang, Chuang; Bu, Xuan; Liang, Yan; Lin, Hui-Ling; Hu, Xinyu; Chen, Hong; Wang, Meihao; Huang, Xiaoqi

doi:10.1007/s00787-019-01297-6

Cited by 20 publications

(23 citation statements)

References 49 publications

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“…Following previous studies on the same task (Baijot et al, 2016), the slowing and the more variable GO responses in ADHD children in the present paradigm is corroborated by a recent SST study (Gilbert et al, 2019;Janssen et al, 2018). The present swLORETA results indicating decreased activity of the frontal and insular cortex in response to the GO stimuli corroborated the previous findings, which reported abnormalities in the basal ganglia (Greven et al, 2015;Klein et al, 2019;Rosch et al, 2018;Seymour et al, 2017;Xu et al, 2017), prefrontal structures (Albajara Sáenz et al, 2019;Norman et al, 2016) as well as disrupted anatomical connectivity (Saad et al, 2017;Zhou et al, 2019) in ADHD. Moreover, the identification of the caudate nucleus corresponding to the GO-P3 component in the ADHD group and not in TDC support the neurodevelopmental model of (Halperin and Schulz 2006) promoting that ADHD is related to early alterations in "bottom-up" cognitive processing performed by the striato-thalamic circuitry, which persists into adult ADHD (Szekely et al, 2017).…”

Section: Discussionsupporting

confidence: 90%

“…Despite heterogeneity, most consistent findings reported ADHD abnormalities in the basal ganglia (Greven et al., 2015; Klein et al., 2019; Seymour et al., 2017), prefrontal structures (Norman et al., 2016), and cerebellum (Valera et al., 2007). Moreover, altered neural activity and disrupted brain connectivity were showed during rest and cognitive tasks in widespread regions of the brain (Albajara Sáenz et al., 2019; Konrad & Eickhoff, 2010; Saad et al., 2017; Zhou et al., 2019).…”

Section: Introductionmentioning

confidence: 99%

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Caudate and cerebellar involvement in altered P2 and P3 components of GO/NoGO evoked potentials in children with attention‐deficit/hyperactivity disorder

Zarka

Cebolla

Cevallos

et al. 2021

Eur J of Neuroscience

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Previous studies showed reduced activity of the anterior cingulate cortex (ACC) and supplementary motor area during inhibition in children with attention-deficit/hyperactivity disorder (ADHD). This study aimed to investigate deep brain generators underlying alterations of evoked potential components triggered by visual GO/NoGO tasks in children with ADHD compared with typically developing children (TDC).Standardized weighted low-resolution electromagnetic tomography (swLORETA) source analysis showed that lower GO-P3 component in children with ADHD was explained not only by a reduced contribution of the frontal areas but also by a stronger contribution of the anterior part of the caudate nucleus in these children compared with TDC. While the reduction of the NoGO-P3 component in children with ADHD was essentially explained by a reduced contribution of the dorsal ACC, the higher NoGO-P2 amplitude in these children was concomitant to the reduced contribution of the dorsolateral prefrontal cortex, the insula, and the cerebellum. These data corroborate previous findings showed by fMRI studies and offered insight relative to the precise time-related contribution of the caudate nucleus and the cerebellum during the automatic feature of inhibition processes in children with ADHD. These results were discussed regarding the involvement of the fronto-basal ganglia and frontocerebellum networks in inhibition and attention alterations in ADHD.

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Section: Discussionsupporting

confidence: 90%

Section: Introductionmentioning

confidence: 99%

Caudate and cerebellar involvement in altered P2 and P3 components of GO/NoGO evoked potentials in children with attention‐deficit/hyperactivity disorder

Zarka

Cebolla

Cevallos

et al. 2021

Eur J of Neuroscience

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“…Hypoactivity in ventral attention network, implicating insensitivity with external environment, is proposed as a key determinant in impairment of attention (90). Both structural and functional abnormalities in IPL were associated with ADHD in previous studies (91, 92). As to IA, abnormalities in the IPL and lingual gyrus were also revealed in IA adolescents, implicating the role of visual attention network in the impaired concentration in IA (93, 94).…”

Section: Discussionsupporting

confidence: 51%

Abnormal Functional Connectivity in Cognitive Control Network, Default Mode Network, and Visual Attention Network in Internet Addiction: A Resting-State fMRI Study

Wang

Qin

et al. 2019

Front. Neurol.

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Internet addiction (IA) has become a global mental and social problem, which may lead to a series of psychiatric symptoms including uncontrolled use of internet, and lack of concentration. However, the exact pathophysiology of IA remains unclear. Most of functional connectivity studies were based on pre-selected regions of interest (ROI), which could not provide a comprehensive picture of the communication abnormalities in IA, and might lead to limited or bias observations. Using local functional connectivity density (lFCD), this study aimed to explore the whole-brain abnormalities of functional connectivity in IA. We evaluated the whole-brain lFCD resulting from resting-state fMRI data in 28 IA individuals and 30 demographically matched healthy control subjects (HCs). The correlations between clinical characteristics and aberrant lFCD were also assessed. Compared with HCs, subjects with IA exhibited heightened lFCD values in the right dorsolateral prefrontal cortex (DLPFC), left parahippocampal gyrus (PHG), and cerebellum, and the bilateral middle cingulate cortex (MCC) and superior temporal pole (STP), as well as decreased lFCD values in the right inferior parietal lobe (IPL), and bilateral calcarine and lingual gyrus. Voxel-based correlation analysis revealed the significant correlations between the Young's Internet Addiction Test (IAT) score and altered lFCD values in the left PHG and bilateral STP. These findings revealed the hyper-connectivity in cognitive control network and default mode network as well as the hypo-connectivity in visual attention network, verifying the common mechanism in IA and substance addiction, and the underlying association between IA, and attention deficit/hyperactivity disorder in terms of neurobiology.

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“…The relation between this specific attention network and ADHD is still ambiguous. Decreased rsFC has been described in ADHD within the DAN (Bush, 2010;Gao et al, 2019;Sidlauskaite et al, 2016;Tomasi & Volkow, 2012;Zhou et al, 2019) and was further correlated to high levels of ADHD symptoms (McCarthy et al, 2013). Regarding AUD, previous fMRI studies have described an F I G U R E 1 Schematic display of examined resting-state networks and corresponding nodes.…”

Section: Introductionmentioning

confidence: 99%

Common and distinct neural connectivity in attention‐deficit/hyperactivity disorder and alcohol use disorder studied using resting‐state functional magnetic resonance imaging

Farré-Colomés

Gerhardt

Luderer

et al. 2021

Alcoholism Clin & Exp Res

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Background A link between attention‐deficit/hyperactivity disorder (ADHD) and alcohol use disorder (AUD) has been widely demonstrated. In this study, we used neuroimaging to investigate the connectivity traits that may contribute to the comorbidity of these disorders. Methods The study included an AUD group (N = 18), an ADHD group (N = 17), a group with AUD + ADHD comorbidity (N = 12) and a control group (N = 18). We used resting‐state functional connectivity in a seed‐based approach in the default mode networks, the dorsal attention network, and the salience network. Results Within the default mode networks, all affected groups shared greater connectivity toward the temporal gyrus when compared to the control group. Regarding the dorsal attention network, the Brodmann area 6 presented greater connectivity for each affected group in comparison with the control group, displaying the strongest aberrations in the AUD + ADHD group. In the salience network, the prefrontal cortex showed decreased connectivity in each affected group compared to the control group. Conclusions Despite the small and unequal sample sizes, our findings show evidence of common neurobiological alterations in AUD and ADHD, supporting the hypothesis that ADHD could be a risk factor for the development of AUD. The results highlight the importance of an early ADHD diagnosis and treatment to reduce the risk of a subsequent AUD.

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Abnormal functional network centrality in drug-naïve boys with attention-deficit/hyperactivity disorder

Cited by 20 publications

References 49 publications

Caudate and cerebellar involvement in altered P2 and P3 components of GO/NoGO evoked potentials in children with attention‐deficit/hyperactivity disorder

Caudate and cerebellar involvement in altered P2 and P3 components of GO/NoGO evoked potentials in children with attention‐deficit/hyperactivity disorder

Abnormal Functional Connectivity in Cognitive Control Network, Default Mode Network, and Visual Attention Network in Internet Addiction: A Resting-State fMRI Study

Common and distinct neural connectivity in attention‐deficit/hyperactivity disorder and alcohol use disorder studied using resting‐state functional magnetic resonance imaging

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