Different Developmental Pattern of Brain Activities in ADHD: A Study of Resting-State fMRI
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Jingxin Nie | Yuqing Wei | Jiajia Zhao | Jingxin Nie | Chaohui Tang | Jiajia Zhao | Chao Tang | Yuqing Wei | Y. Wei
[1] Diane I. Lopez. LibGuides: SWK 5483 Multidimensional Assessment: Diagnostic And Statistical Manual Of Mental Disorders, Fifth Edition (DSM-5) , 2020 .
[2] Philip Shaw,et al. Estimating the Heritability of Structural and Functional Brain Connectivity in Families Affected by Attention-Deficit/Hyperactivity Disorder , 2017, JAMA psychiatry.
[3] F. Castellanos,et al. Differential effects of methylphenidate and atomoxetine on intrinsic brain activity in children with attention deficit hyperactivity disorder , 2016, Psychological Medicine.
[4] Hyunjin Park,et al. Differences in connectivity patterns between child and adolescent attention deficit hyperactivity disorder patients , 2016, 2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).
[5] Yufeng Zang,et al. DPABI: Data Processing & Analysis for (Resting-State) Brain Imaging , 2016, Neuroinformatics.
[6] Yong He,et al. Toward Developmental Connectomics of the Human Brain , 2016, Front. Neuroanat..
[7] K. Lapidus,et al. The Significance of the Default Mode Network (DMN) in Neurological and Neuropsychiatric Disorders: A Review , 2016, The Yale journal of biology and medicine.
[8] Jan R. Wiersema,et al. Default mode network abnormalities during state switching in attention deficit hyperactivity disorder , 2015, Psychological Medicine.
[9] Manuel Graña,et al. Local activity features for computer aided diagnosis of schizophrenia on resting-state fMRI , 2015, Neurocomputing.
[10] Martin Walter,et al. Local and Global Resting State Activity in the Noradrenergic and Dopaminergic Pathway Modulated by Reboxetine and Amisulpride in Healthy Subjects , 2015, The international journal of neuropsychopharmacology.
[11] Ben D. Fulcher,et al. Developmental Changes in Brain Network Hub Connectivity in Late Adolescence , 2015, The Journal of Neuroscience.
[12] Rong Wang,et al. Exploring Dynamic Temporal-Topological Structure of Brain Network Within ADHD , 2015 .
[13] C. Sripada,et al. Lag in maturation of the brain’s intrinsic functional architecture in attention-deficit/hyperactivity disorder , 2014, Proceedings of the National Academy of Sciences.
[14] Wei Gao,et al. Network connectivity abnormality profile supports a categorical‐dimensional hybrid model of ADHD , 2014, Human brain mapping.
[15] Javier Quintero,et al. Underdiagnosis of Attention-Deficit/Hyperactivity Disorder in Adult Patients: A Review of the Literature , 2014, The primary care companion for CNS disorders.
[16] Qiyong Gong,et al. Intrinsic brain abnormalities in attention deficit hyperactivity disorder: a resting-state functional MR imaging study. , 2014, Radiology.
[17] J. Ormel,et al. A longitudinal perspective on childhood adversities and onset risk of various psychiatric disorders , 2014, European Child & Adolescent Psychiatry.
[18] G. Salum,et al. ADHD prevalence estimates across three decades: an updated systematic review and meta-regression analysis. , 2013, International journal of epidemiology.
[19] Daniel P. Kennedy,et al. The Autism Brain Imaging Data Exchange: Towards Large-Scale Evaluation of the Intrinsic Brain Architecture in Autism , 2013, Molecular Psychiatry.
[20] J. Shimony,et al. Resting-State fMRI: A Review of Methods and Clinical Applications , 2013, American Journal of Neuroradiology.
[21] Man-Qiu Sui,et al. Local synchronization and amplitude of the fluctuation of spontaneous brain activity in attention-deficit/hyperactivity disorder: a resting-state fMRI study , 2013, Neuroscience Bulletin.
[22] Yong He,et al. BrainNet Viewer: A Network Visualization Tool for Human Brain Connectomics , 2013, PloS one.
[23] Swathi P. Iyer,et al. Distinct neural signatures detected for ADHD subtypes after controlling for micro-movements in resting state functional connectivity MRI data , 2012, Front. Syst. Neurosci..
[24] M. Milham,et al. The ADHD-200 Consortium: A Model to Advance the Translational Potential of Neuroimaging in Clinical Neuroscience , 2012, Front. Syst. Neurosci..
[25] W. Cheng,et al. Individual classification of ADHD patients by integrating multiscale neuroimaging markers and advanced pattern recognition techniques , 2012, Front. Syst. Neurosci..
[26] E. Willcutt. The Prevalence of DSM-IV Attention-Deficit/Hyperactivity Disorder: A Meta-Analytic Review , 2012, Neurotherapeutics.
[27] N. Volkow,et al. Abnormal Functional Connectivity in Children with Attention-Deficit/Hyperactivity Disorder , 2012, Biological Psychiatry.
[28] Yufeng Zang,et al. Abnormal functional connectivity between the anterior cingulate and the default mode network in drug-naïve boys with attention deficit hyperactivity disorder , 2012, Psychiatry Research: Neuroimaging.
[29] F. Xavier Castellanos,et al. Large-scale brain systems in ADHD: beyond the prefrontal–striatal model , 2012, Trends in Cognitive Sciences.
[30] Xi-Nian Zuo,et al. REST: A Toolkit for Resting-State Functional Magnetic Resonance Imaging Data Processing , 2011, PloS one.
[31] Michael Fitzgerald,et al. European consensus statement on diagnosis and treatment of adult ADHD: The European Network Adult ADHD , 2010, BMC psychiatry.
[32] Alan C. Evans,et al. Age- and Gender-Related Differences in the Cortical Anatomical Network , 2009, The Journal of Neuroscience.
[33] Chaozhe Zhu,et al. Abnormal resting-state functional connectivity patterns of the putamen in medication-naïve children with attention deficit hyperactivity disorder , 2009, Brain Research.
[34] Simon B Eickhoff,et al. Investigating the Functional Heterogeneity of the Default Mode Network Using Coordinate-Based Meta-Analytic Modeling , 2009, The Journal of Neuroscience.
[35] V. Calhoun,et al. Interrater and intermethod reliability of default mode network selection , 2009, Human brain mapping.
[36] Liang Wang,et al. Altered small‐world brain functional networks in children with attention‐deficit/hyperactivity disorder , 2009, Human brain mapping.
[37] Chaozhe Zhu,et al. An improved approach to detection of amplitude of low-frequency fluctuation (ALFF) for resting-state fMRI: Fractional ALFF , 2008, Journal of Neuroscience Methods.
[38] Tianzi Jiang,et al. Enhanced resting-state brain activities in ADHD patients: A fMRI study , 2008, Brain and Development.
[39] O. Sporns,et al. Identification and Classification of Hubs in Brain Networks , 2007, PloS one.
[40] Y. Zang,et al. Altered baseline brain activity in children with ADHD revealed by resting-state functional MRI , 2007, Brain and Development.
[41] Yong He,et al. Altered baseline brain activity in children with ADHD revealed by resting-state functional MRI. , 2007, Brain & development.
[42] C. Clauss-Ehlers. Comprar Encyclopedia of Cross-Cultural School Psychology | Clauss-Ehlers, Caroline | 9780387717982 | Springer , 2007 .
[43] P. Jeffrey Conn,et al. Metabotropic glutamate receptors in the basal ganglia motor circuit , 2005, Nature Reviews Neuroscience.
[44] Yingli Lu,et al. Regional homogeneity approach to fMRI data analysis , 2004, NeuroImage.
[45] E. Koechlin,et al. The Architecture of Cognitive Control in the Human Prefrontal Cortex , 2003, Science.
[46] N. Cohen,et al. Attentional Control in the Aging Brain: Insights from an fMRI Study of the Stroop Task , 2002, Brain and Cognition.
[47] N. Tzourio-Mazoyer,et al. Automated Anatomical Labeling of Activations in SPM Using a Macroscopic Anatomical Parcellation of the MNI MRI Single-Subject Brain , 2002, NeuroImage.
[48] V. Latora,et al. Efficient behavior of small-world networks. , 2001, Physical review letters.
[49] E. Miller,et al. The prefontral cortex and cognitive control , 2000, Nature Reviews Neuroscience.
[50] E. Miller,et al. THE PREFRONTAL CORTEX AND COGNITIVE CONTROL , 2000 .
[51] Alan C. Evans,et al. Brain development during childhood and adolescence: a longitudinal MRI study , 1999, Nature Neuroscience.
[52] G. Mangun,et al. Covariations in ERP and PET measures of spatial selective attention in human extrastriate visual cortex , 1997, Human brain mapping.