Treatment effect of methylphenidate on intrinsic functional brain network in medication-naïve ADHD children: A multivariate analysis

[1]  M. Kleerebezem,et al.  Biomarker Research in ADHD: the Impact of Nutrition (BRAIN) - study protocol of an open-label trial to investigate the mechanisms underlying the effects of a few-foods diet on ADHD symptoms in children , 2019, BMJ Open.

[2]  J. Epstein,et al.  Benefits of Methylphenidate for Long-Term Attention Problems After Traumatic Brain Injury in Childhood: A Randomized, Double-Masked, Placebo-Controlled, Dose-Titration, Crossover Trial , 2019, The Journal of head trauma rehabilitation.

[3]  M. B. Nebel,et al.  Investigating functional brain network integrity using a traditional and novel categorical scheme for neurodevelopmental disorders , 2019, NeuroImage: Clinical.

[4]  M. Bellgrove,et al.  The effect of single-dose methylphenidate on resting-state network functional connectivity in ADHD , 2017, Brain Imaging and Behavior.

[5]  Sheng Zhang,et al.  Methylphenidate Modulates Functional Network Connectivity to Enhance Attention , 2016, The Journal of Neuroscience.

[6]  C. Kelly,et al.  Neural Correlates of Symptom Improvement Following Stimulant Treatment in Adults with Attention-Deficit/Hyperactivity Disorder. , 2016, Journal of child and adolescent psychopharmacology.

[7]  F. Castellanos,et al.  Intrinsic Functional Connectivity in Attention-Deficit/Hyperactivity Disorder: A Science in Development. , 2016, Biological psychiatry. Cognitive neuroscience and neuroimaging.

[8]  Jan R. Wiersema,et al.  Altered intrinsic organisation of brain networks implicated in attentional processes in adult attention-deficit/hyperactivity disorder: a resting-state study of attention, default mode and salience network connectivity , 2016, European Archives of Psychiatry and Clinical Neuroscience.

[9]  Aaron Kucyi,et al.  Disrupted functional connectivity of cerebellar default network areas in attention‐deficit/hyperactivity disorder , 2015, Human brain mapping.

[10]  Yong He,et al.  GRETNA: a graph theoretical network analysis toolbox for imaging connectomics , 2015, Front. Hum. Neurosci..

[11]  H. Möller,et al.  The effects of methylphenidate on whole brain intrinsic functional connectivity , 2014, Human brain mapping.

[12]  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.

[13]  Michael J. Brammer,et al.  Shared and Drug-Specific Effects of Atomoxetine and Methylphenidate on Inhibitory Brain Dysfunction in Medication-Naive ADHD Boys , 2012, Cerebral cortex.

[14]  R Core Team,et al.  R: A language and environment for statistical computing. , 2014 .

[15]  Sang Won Lee,et al.  Aberrant Development of Functional Connectivity among Resting State-Related Functional Networks in Medication-Naïve ADHD Children , 2013, PloS one.

[16]  Michael Angstadt,et al.  Distributed effects of methylphenidate on the network structure of the resting brain: A connectomic pattern classification analysis , 2013, NeuroImage.

[17]  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.

[18]  D. Kennedy,et al.  Areas of the Brain Modulated by Single-Dose Methylphenidate Treatment in Youth with ADHD During Task-Based fMRI: A Systematic Review , 2013, Harvard Review of Psychiatry.

[19]  Bharat B. Biswal,et al.  The Influence of the Amplitude of Low-Frequency Fluctuations on Resting-State Functional Connectivity , 2013, Front. Hum. Neurosci..

[20]  Y. Zang,et al.  Methylphenidate Normalizes Resting-State Brain Dysfunction in Boys With Attention Deficit Hyperactivity Disorder , 2013, Neuropsychopharmacology.

[21]  Yufeng Zang,et al.  Toward reliable characterization of functional homogeneity in the human brain: Preprocessing, scan duration, imaging resolution and computational space , 2013, NeuroImage.

[22]  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..

[23]  F. Xavier Castellanos,et al.  Large-scale brain systems in ADHD: beyond the prefrontal–striatal model , 2012, Trends in Cognitive Sciences.

[24]  Methylphenidate modulates sustained attention and cortical activation in survivors of traumatic brain injury: a perfusion fMRI study , 2012, Psychopharmacology.

[25]  Christoph U. Lehmann,et al.  ADHD: Clinical Practice Guideline for the Diagnosis, Evaluation, and Treatment of Attention-Deficit/Hyperactivity Disorder in Children and Adolescents , 2011, Pediatrics.

[26]  A. Arnsten,et al.  Catecholamine influences on prefrontal cortical function: Relevance to treatment of attention deficit/hyperactivity disorder and related disorders , 2011, Pharmacology Biochemistry and Behavior.

[27]  Rozmin Halari,et al.  Methylphenidate Normalizes Frontocingulate Underactivation During Error Processing in Attention-Deficit/Hyperactivity Disorder , 2011, Biological Psychiatry.

[28]  Stewart H Mostofsky,et al.  Variability in post-error behavioral adjustment is associated with functional abnormalities in the temporal cortex in children with ADHD. , 2011, Journal of child psychology and psychiatry, and allied disciplines.

[29]  Thomas E. Nichols,et al.  False positives in neuroimaging genetics using voxel-based morphometry data , 2011, NeuroImage.

[30]  Marian Earls,et al.  ADHD : Clinical Practice Guideline for the Diagnosis , Evaluation , and Treatment of Attention-Deficit / Hyperactivity Disorder in Children and Adolescents , 2011 .

[31]  Deepti R. Bathula,et al.  Atypical Default Network Connectivity in Youth with Attention-Deficit/Hyperactivity Disorder , 2010, Biological Psychiatry.

[32]  S. Rombouts,et al.  Frontiers in Systems Neuroscience Systems Neuroscience , 2022 .

[33]  Tuomo Starck,et al.  Age-Related Differences in Functional Nodes of the Brain Cortex – A High Model Order Group ICA Study , 2010, Front. Syst. Neurosci..

[34]  John Duncan,et al.  The role of the right inferior frontal gyrus: inhibition and attentional control , 2010, NeuroImage.

[35]  Rozmin Halari,et al.  Methylphenidate normalises activation and functional connectivity deficits in attention and motivation networks in medication-naïve children with ADHD during a rewarded continuous performance task , 2009, Neuropharmacology.

[36]  Stephen M Smith,et al.  Correspondence of the brain's functional architecture during activation and rest , 2009, Proceedings of the National Academy of Sciences.

[37]  P. Matthews,et al.  Distinct patterns of brain activity in young carriers of the APOE e4 allele , 2009, NeuroImage.

[38]  O. Sporns,et al.  Complex brain networks: graph theoretical analysis of structural and functional systems , 2009, Nature Reviews Neuroscience.

[39]  Liang Wang,et al.  Altered small‐world brain functional networks in children with attention‐deficit/hyperactivity disorder , 2009, Human brain mapping.

[40]  G. Tutz,et al.  An introduction to recursive partitioning: rationale, application, and characteristics of classification and regression trees, bagging, and random forests. , 2009, Psychological methods.

[41]  H. Schubiner,et al.  Overview of epidemiology, clinical features, genetics, neurobiology, and prognosis of adolescent attention-deficit/hyperactivity disorder. , 2008, Adolescent medicine: state of the art reviews.

[42]  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.

[43]  P. Emmelkamp,et al.  Efficacy of methylphenidate, psychosocial treatments and their combination in school-aged children with ADHD: a meta-analysis. , 2008, Clinical psychology review.

[44]  Ross Cunnington,et al.  Dysfunction in the Fronto-Parietal Network in Attention Deficit Hyperactivity Disorder (ADHD): An fMRI Study , 2008, Brain Imaging and Behavior.

[45]  G. Fink,et al.  Long-term effects of methylphenidate on neural networks associated with executive attention in children with ADHD: results from a longitudinal functional MRI study. , 2007, Journal of the American Academy of Child and Adolescent Psychiatry.

[46]  Ho-Yyoung Lee,et al.  The relationship between regional cerebral blood flow and response to methylphenidate in children with attention-deficit hyperactivity disorder: comparison between non-responders to methylphenidate and responders. , 2007, Journal of psychiatric research.

[47]  Keith M. Shafritz,et al.  ADHD- and medication-related brain activation effects in concordantly affected parent-child dyads with ADHD. , 2007, Journal of child psychology and psychiatry, and allied disciplines.

[48]  Thomas T. Liu,et al.  A component based noise correction method (CompCor) for BOLD and perfusion based fMRI , 2007, NeuroImage.

[49]  Justin L. Vincent,et al.  Distinct brain networks for adaptive and stable task control in humans , 2007, Proceedings of the National Academy of Sciences.

[50]  Yong He,et al.  Altered baseline brain activity in children with ADHD revealed by resting-state functional MRI. , 2007, Brain & development.

[51]  A. Kelley,et al.  Methylphenidate Preferentially Increases Catecholamine Neurotransmission within the Prefrontal Cortex at Low Doses that Enhance Cognitive Function , 2006, Biological Psychiatry.

[52]  W. Gehring,et al.  More attention must be paid: The neurobiology of attentional effort , 2006, Brain Research Reviews.

[53]  F. Castellanos,et al.  Characterizing cognition in ADHD: beyond executive dysfunction , 2006, Trends in Cognitive Sciences.

[54]  M E J Newman,et al.  Modularity and community structure in networks. , 2006, Proceedings of the National Academy of Sciences of the United States of America.

[55]  Stuart J Johnstone,et al.  The effect of methylphenidate on response inhibition and the event-related potential of children with attention deficit/hyperactivity disorder. , 2005, International journal of psychophysiology : official journal of the International Organization of Psychophysiology.

[56]  K. Kaski,et al.  Intensity and coherence of motifs in weighted complex networks. , 2004, Physical review. E, Statistical, nonlinear, and soft matter physics.

[57]  Stephen M. Smith,et al.  Probabilistic independent component analysis for functional magnetic resonance imaging , 2004, IEEE Transactions on Medical Imaging.

[58]  Young Shin Kim,et al.  The reliability and validity of Kiddie-Schedule for Affective Disorders and Schizophrenia-Present and Lifetime Version- Korean version (K-SADS-PL-K). , 2004, Yonsei medical journal.

[59]  Leo Breiman,et al.  Random Forests , 2001, Machine Learning.

[60]  V. Latora,et al.  Economic small-world behavior in weighted networks , 2002, cond-mat/0204089.

[61]  Y. So,et al.  THE RELIABILITY AND VALIDITY OF KOREAN CONNERS PARENT AND TEACHER RATING SCALE , 2003 .

[62]  J S Fowler,et al.  Mechanism of action of methylphenidate: Insights from PET imaging studies , 2002, Journal of attention disorders.

[63]  Y. S. Kim,et al.  The Reliability and Validity of Korean Parent and Teacher ADHD Rating Scale , 2002 .

[64]  T. L. Eckert,et al.  Preschool children with attention-deficit/hyperactivity disorder: impairments in behavioral, social, and school functioning. , 2001, Journal of the American Academy of Child and Adolescent Psychiatry.

[65]  J. S. Lee,et al.  Methylphenidate increased regional cerebral blood flow in subjects with attention deficit/hyperactivity disorder. , 2001, Yonsei medical journal.

[66]  V. Latora,et al.  Efficient behavior of small-world networks. , 2001, Physical review letters.

[67]  A M Dale,et al.  Measuring the thickness of the human cerebral cortex from magnetic resonance images. , 2000, Proceedings of the National Academy of Sciences of the United States of America.

[68]  T. Paus.  Functional anatomy of arousal and attention systems in the human brain. , 2000, Progress in brain research.

[69]  Anders M. Dale,et al.  Cortical Surface-Based Analysis I. Segmentation and Surface Reconstruction , 1999, NeuroImage.

[70]  A. Dale,et al.  Cortical Surface-Based Analysis II: Inflation, Flattening, and a Surface-Based Coordinate System , 1999, NeuroImage.

[71]  A. Dale,et al.  High‐resolution intersubject averaging and a coordinate system for the cortical surface , 1999, Human brain mapping.

[72]  Duncan J. Watts,et al.  Collective dynamics of ‘small-world’ networks , 1998, Nature.

[73]  N. Ryan,et al.  Schedule for Affective Disorders and Schizophrenia for School-Age Children-Present and Lifetime Version (K-SADS-PL): initial reliability and validity data. , 1997, Journal of the American Academy of Child and Adolescent Psychiatry.

[74]  J S Fowler,et al.  Effects of methylphenidate on regional brain glucose metabolism in humans: relationship to dopamine D2 receptors. , 1997, The American journal of psychiatry.