Intrinsic Brain Abnormalities in Attention Deficit Hyperactivity Disorder: A Resting-State Functional MR Imaging Study

Li, Fēi; He, Ning; Li, Yuanyuan; Chen, Lizhou; Huang, Xiaoqi; Lui, Su; Guo, Lanting; Kemp, Graham J.; Gong, Qiyong

doi:10.1148/radiol.14131622

Cited by 74 publications

(58 citation statements)

References 58 publications

(49 reference statements)

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“…Further studies are needed to investigate the longitudinal relationship between well-being, personality, and intrinsic brain activities. Finally, although our study used a data-driven method to define EWB-related ROIs for subsequent seed-based RSFC analyses (see also Cox et al, 2012;Li et al, 2014;Xu et al, 2014;Wang et al, 2013;Wei et al, 2012), future studies should also consider using other well established methods (e.g., ICA templates, standard seeds, reference to pre-existing node sets) to explore the EWBrelated brain network.…”

Section: Discussionmentioning

confidence: 99%

“…We created spherical seed regions of interest (ROIs; radius = 5 mm) according to the coordinates of peaks in the significant region(s) observed in the fALFF-behavior correlation analysis. This method has been widely used to construct RSFC networks (Cox et al, 2012;Li et al, 2014;Wang et al, 2013;Wei et al, 2012;Xu et al, 2014).To examine the network's functional relevance for EWB, we then correlated the RSFC strength with the EWB score. Before the RSFC analysis, a temporal band-pass filter (0.01-0.1 Hz) was applied with FSLMATHS to reduce lowfrequency drifts and high-frequency noise.…”

Section: Connectivity-behavior Correlation Analysismentioning

confidence: 99%

“…Previous studies have shown that fALFF and RSFC reflect neuronal signals and are behaviorally relevant (Biswal, 2012;Fox and Raichle, 2007;Raichle, 2010). Both aspects have been found to identify populations with various types of neuropsychiatric disorders such as attention-deficit hyperactivity disorder (ADHD; Li et al, 2014), Alzheimer's disease (Liu et al, 2008), major depressive disorder (Jiao et al, 2011;Wang et al, 2012;Liu et al, 2013), mild cognitive impairment (Han et al, 2011;Zhao et al, 2014), and schizophrenia (Hoptman et al, 2010;Yu et al, 2014). In addition, several recent studies have shown healthy individuals' fALFF and RSFC are associated with individual differences in executive control (Mennes et al, 2011;Xu et al, 2014), face processing (Zhu, Zhang, Luo, Dilks, & Liu, 2011), object color processing (Wang et al, 2013), emotional intelligence (Cox et al, 2012;Takeuchi et al, 2013), and personality traits .…”

Section: Introductionmentioning

confidence: 99%

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Different neural pathways linking personality traits and eudaimonic well-being: a resting-state functional magnetic resonance imaging study

Kong

Liu

Wang

et al. 2014

Cogn Affect Behav Neurosci

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Eudaimonic well-being (EWB) is the fulfillment of human potential and a meaningful life. Previous studies have shown that personality traits, especially extraversion, neuroticism, and conscientiousness, significantly contribute to EWB. However, the neurobiological pathways linking personality and EWB are not understood. Here, we used restingstate functional magnetic resonance imaging (rs-fMRI) to investigate this issue. Specifically, we correlated individuals' EWB scores with the regional fractional amplitude of lowfrequency fluctuations (fALFF) of the brain, and then examined how personality traits predicted EWB-related spontaneous brain activity. We found that EWB was positively correlated with the fALFF in the right posterior superior temporal gyrus (pSTG) and thalamus, and negatively correlated with the strength of the thalamic-insular connectivity. More importantly, we found that personality traits influenced EWB in different ways. At the regional level, the fALFF in the pSTG and thalamus mediated the effects of neuroticism and extraversion on EWB, whereas the thalamus mediated the effect of conscientiousness on EWB. At the functional connectivity level, the thalamic-insular connectivity only mediated the effect of neuroticism on EWB. Taken together, our study provides the first evidence that EWB is associated with personality traits through different neural substrates.

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Section: Discussionmentioning

confidence: 99%

Section: Connectivity-behavior Correlation Analysismentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Different neural pathways linking personality traits and eudaimonic well-being: a resting-state functional magnetic resonance imaging study

Kong

Liu

Wang

et al. 2014

Cogn Affect Behav Neurosci

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“…6,12 Resting-state functional connectivity (RSFC)-the quantification method most frequently used in resting-state functional MR imaging studies 10,13 -measures interregional temporal correlation between a predefined seed region and functionally related regions 14 and has been used as a reliable and sensitive index in studies of healthy subjects and patients with various brain disorders such as Alzheimer disease, depression, and attention deficit/hyperactivity disorder. 11,15 However, there have been no prior studies using RSFC to investigate the amygdala functional connectivity in patients with IBS. The present study examined abnormalities of the amygdala functional connectivity in IBS.…”

mentioning

confidence: 99%

Abnormal Amygdala Resting-State Functional Connectivity in Irritable Bowel Syndrome

Qi¹,

Liu²,

Ke³

et al. 2016

AJNR Am J Neuroradiol

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“…These may explain attentional lapses in ADHD, where mind wandering controlled by the DMN might interfere with sustained attention [324,325]. However, many other findings have not been replicated, for example the reduced connectivity between DMN and putamen [324,327], reduced regional homogeneity in the DMN [328], inferior frontal gyrus and dorsal caudate [324,329], together with aberrant brain activation or network properties [324,330,331]. Investigating the relationship between HM and ADHD symptoms such as inattention or hyperactivityimpulsivity might indicate whether inconsistent findings from prior resting-state studies could reflect a potential confound.…”

Section: Introductionmentioning

confidence: 99%

Breaking down the genetics of depression using brain endophenotypes

Couvy‐Duchesne¹

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The Queensland Brain Institute 2 Thesis AbstractThe objective of the work presented in this thesis was to extend our understanding of depression aetiology and to identify brain MRI endophenotypes of depression. Our work builds on previous research that highlighted the genetic relationships between stress, sex and depression. In addition, MRI measurements are heritable and do not relying on selfreport. As such, they represent promising endophenotypes that could help break down further the genetics of depression.Preliminary work involved reporting depression prevalence in a young adult Australian twin sample (N=2,773) as well as comorbidity with affective and substance use disorders (Chapter 1). In addition, we demonstrated the good psychometric properties of the SPHERE questionnaire, which provides self-reported measures of anxiety-depression and chronic fatigue. Properties of the scores include: i) stochastic ordering on the sum score, ii) limited sex and age bias through adolescence, iii) high internal consistency, iv) good 3 months test-retest, v) moderate heritability, vi) significant association with lifetime MDD, social anxiety and alcohol dependence diagnoses (Chapter 2).In an older sample of Australian twins (N=5,221, Chapter 3), we performed a direct test of the diathesis-stress hypothesis in depression, which states that stressors can mediate the effect of genetic predisposition (diathesis) on the disease risk. We used Polygenic Risk Scores as a measure of diathesis and report a significant interaction with personal stressful life events, supporting the idea that stress and predisposition have a multiplicative effect on the depression liability scale. This interaction may be different between sexes as suggested by the stratified analysis.We then performed 3 analyses of resting-state fMRI from which we showed that: 1) Head motion (HM) is reliable and heritable in addition to being a major confound in fMRI analyses. However, this is unlikely to greatly confound twin studies of resting-state functional connectivity (FC). As a by-product of the analysis we showed that FC in the Broca's areas networks exhibited low to moderate test-retest and heritability (Chapter 4).2) HM is phenotypically and genetically associated with ADHD scores of Inattention and Hyperactivity/Impulsivity. This leads to most head motion image processing options to reduce power and/or to induce a sampling bias in RS-fMRI studies of ADHD. We discussed ways of circumventing this problem, via volume pruning or multivariate analysis (Chapter 5). 33) Nuisance regression (global signal regression, CompCor and HM regression) options in RS-fMRI processing have a moderate impact on the test-retest of regional homogeneity. Independently of the processing options, the low to moderate intra-class coefficients estimated in our sample may be due to insufficient scanning time (5mins 20s) and would impair our statistical power to detect RS-fMRI endophenotypes of depression (Chapter 6).Rather, we focused on structural brain images and contributed sample...

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Intrinsic Brain Abnormalities in Attention Deficit Hyperactivity Disorder: A Resting-State Functional MR Imaging Study

Abstract: These findings of focal spontaneous hyper- and hypofunction, together with altered brain connectivity in the large-scale resting-state networks, which correlates with executive dysfunction, point to a connectivity-based pathophysiologic process in ADHD.

Cited by 74 publications

References 58 publications

Different neural pathways linking personality traits and eudaimonic well-being: a resting-state functional magnetic resonance imaging study

Different neural pathways linking personality traits and eudaimonic well-being: a resting-state functional magnetic resonance imaging study

Abnormal Amygdala Resting-State Functional Connectivity in Irritable Bowel Syndrome

Breaking down the genetics of depression using brain endophenotypes

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