Characterizing different cognitive and neurobiological profiles in a community sample of children using a non-parametric approach: An fMRI study

[1]  Menahem Yeari,et al.  The Role of Executive Functions in Reading Comprehension by Adolescents with ADHD , 2022, Reading & Writing Quarterly.

[2]  Timothy O. Laumann,et al.  Reproducible brain-wide association studies require thousands of individuals , 2022, Nature.

[3]  Tzipi Horowitz-Kraus,et al.  Stroop performance is related to reading profiles in Hebrew-speaking individuals with dyslexia and typical readers. , 2022, Dyslexia.

[4]  Jacob Cohen.  Statistical Power Analysis for the Behavioral Sciences , 1969, The SAGE Encyclopedia of Research Design.

[5]  Jessica R. Cohen,et al.  Increased integration between default mode and task-relevant networks in children with ADHD is associated with impaired response control , 2021, Developmental Cognitive Neuroscience.

[6]  G. Hancock,et al.  Beyond the Simple View of Reading: The Role of Executive Functions in Emergent Bilinguals’ and English Monolinguals’ Reading Comprehension , 2021 .

[7]  Andrew M. Michael,et al.  A Review of the Default Mode Network in Autism Spectrum Disorders and Attention Deficit Hyperactivity Disorder , 2021, Brain Connect..

[8]  Yong He,et al.  Development of the default-mode network during childhood and adolescence: A longitudinal resting-state fMRI study , 2020, NeuroImage.

[9]  L. Cutting,et al.  Relations among Executive Function, Decoding, and Reading Comprehension: An Investigation of Sex Differences , 2020, Discourse processes.

[10]  K. Mills,et al.  Opportunities for increased reproducibility and replicability of developmental neuroimaging , 2019, Developmental Cognitive Neuroscience.

[11]  B. Birmaher,et al.  KSADS-COMP Perspectives on Child Psychiatric Diagnostic Assessment and Treatment Planning. , 2020, Journal of the American Academy of Child and Adolescent Psychiatry.

[12]  Peng Peng,et al.  The Cognitive Element Model of Reading Instruction , 2020 .

[13]  Thomas E. Nichols,et al.  Meaningful Effects in the Adolescent Brain Cognitive Development Study , 2020, bioRxiv.

[14]  Timothy O. Laumann,et al.  Towards Reproducible Brain-Wide Association Studies , 2020, bioRxiv.

[15]  D. Margulies,et al.  The role of default mode network in semantic cue integration , 2020, NeuroImage.

[16]  J. Andrews-Hanna,et al.  Transdiagnostic and disease-specific abnormalities in the default-mode network hubs in psychiatric disorders: A meta-analysis of resting-state functional imaging studies , 2020, European Psychiatry.

[17]  M. Pérez de la Mora,et al.  Default Mode Network Efficiency Is Correlated With Deficits in Inhibition in Adolescents With Inhalant Use Disorder , 2020, Frontiers in Psychiatry.

[18]  Matthew D. Albaugh,et al.  Investigation of Psychiatric and Neuropsychological Correlates of Default Mode Network and Dorsal Attention Network Anticorrelation in Children. , 2019, Cerebral cortex.

[19]  J. Karbach,et al.  The unique contribution of working memory, inhibition, cognitive flexibility, and intelligence to reading comprehension and reading speed , 2020, Child neuropsychology : a journal on normal and abnormal development in childhood and adolescence.

[20]  Stephanie L. Haft,et al.  Direct and Indirect Contributions of Executive Function to Word Decoding and Reading Comprehension in Kindergarten. , 2019, Learning and individual differences.

[21]  Bradley C. Love,et al.  Variability in the analysis of a single neuroimaging dataset by many teams , 2019, Nature.

[22]  D. Barch,et al.  Resting-State Functional Connectivity and Psychotic-like Experiences in Childhood: Results From the Adolescent Brain Cognitive Development Study , 2019, Biological Psychiatry.

[23]  Lynn S. Fuchs,et al.  Addressing the role of working memory in mathematical word-problem solving when designing intervention for struggling learners , 2019, ZDM.

[24]  G. A. Miller,et al.  Inhibitory control of emotional processing: Theoretical and empirical considerations. , 2019, International journal of psychophysiology : official journal of the International Organization of Psychophysiology.

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

[26]  Anders M. Dale,et al.  Image processing and analysis methods for the Adolescent Brain Cognitive Development Study , 2018, NeuroImage.

[27]  Johannes M. Meixner,et al.  The relation between executive functions and reading comprehension in primary-school students: A cross-lagged-panel analysis , 2019, Early Childhood Research Quarterly.

[28]  V. Calhoun,et al.  Should I Stay or Should I Go? FMRI Study of Response Inhibition in Early Illness Schizophrenia and Risk for Psychosis , 2019, Schizophrenia bulletin.

[29]  Jie Fan,et al.  Resting-State Default Mode Network Related Functional Connectivity Is Associated With Sustained Attention Deficits in Schizophrenia and Obsessive-Compulsive Disorder , 2018, Front. Behav. Neurosci..

[30]  Joshua M. Rosenberg,et al.  tidyLPA: An R Package to Easily Carry Out Latent Profile Analysis (LPA) Using Open-Source or Commercial Software , 2018, J. Open Source Softw..

[31]  Tomer Michaeli,et al.  Revealing Common Statistical Behaviors in Heterogeneous Populations , 2018, ICML.

[32]  A. Smeaton,et al.  Inhibition and Updating, but Not Switching, Predict Developmental Dyslexia and Individual Variation in Reading Ability , 2018, Front. Psychol..

[33]  Christiane S. Rohr,et al.  Functional network integration and attention skills in young children , 2018, Developmental Cognitive Neuroscience.

[34]  Anders M. Dale,et al.  The Adolescent Brain Cognitive Development (ABCD) study: Imaging acquisition across 21 sites , 2018, Developmental Cognitive Neuroscience.

[35]  D. Barch,et al.  Adolescent neurocognitive development and impacts of substance use: Overview of the adolescent brain cognitive development (ABCD) baseline neurocognition battery , 2018, Developmental Cognitive Neuroscience.

[36]  Jesse A. Brown,et al.  The Longitudinal Trajectory of Default Mode Network Connectivity in Healthy Older Adults Varies As a Function of Age and Is Associated with Changes in Episodic Memory and Processing Speed , 2018, The Journal of Neuroscience.

[37]  D. Barch,et al.  Adolescent neurocognitive development and impacts of substance use: Overview of the adolescent brain cognitive development (ABCD) baseline neurocognition battery , 2018, Developmental Cognitive Neuroscience.

[38]  M. Owen,et al.  Growth in inhibitory control among low-income, ethnic-minority preschoolers: A group-based modeling approach. , 2018, Early childhood research quarterly.

[39]  A. Ferretti,et al.  Modifications in resting state functional anticorrelation between default mode network and dorsal attention network: comparison among young adults, healthy elders and mild cognitive impairment patients , 2017, Brain Imaging and Behavior.

[40]  A. Tasci,et al.  Large sample size, significance level, and the effect size: Solutions to perils of using big data for academic research , 2017 .

[41]  Panayiota Kendeou,et al.  The Role of Executive Functions in Reading Comprehension , 2017, Educational Psychology Review.

[42]  Abraham Z. Snyder,et al.  Real-time motion analytics during brain MRI improve data quality and reduce costs , 2017, NeuroImage.

[43]  Andrew Heathcote,et al.  Failures of cognitive control or attention? The case of stop-signal deficits in schizophrenia , 2017, Attention, Perception, & Psychophysics.

[44]  Lauren E. Mak,et al.  The Default Mode Network in Healthy Individuals: A Systematic Review and Meta-Analysis , 2017, Brain Connect..

[45]  V. Schmithorst,et al.  Maturation of Brain Regions Related to the Default Mode Network during Adolescence Facilitates Narrative Comprehension , 2017, Journal of child and adolescent behavior.

[46]  M. B. Nebel,et al.  Heterogeneity of executive functions among comorbid neurodevelopmental disorders , 2016, Scientific Reports.

[47]  L. Rescorla,et al.  The Achenbach System of Empirically Based Assessment. , 2016 .

[48]  S. Petrill,et al.  Comprehending text versus reading words in young readers with varying reading ability: distinct patterns of functional connectivity from common processing hubs. , 2016, Developmental science.

[49]  Michael W. L. Chee,et al.  Reduced functional segregation between the default mode network and the executive control network in healthy older adults: A longitudinal study , 2016, NeuroImage.

[50]  Gabriela Williams,et al.  Latent class analysis and latent profile analysis , 2016 .

[51]  Timothy O. Laumann,et al.  Generation and Evaluation of a Cortical Area Parcellation from Resting-State Correlations. , 2016, Cerebral cortex.

[52]  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.

[53]  Claudio A. Toro-Serey,et al.  Increased Resting-State Functional Connectivity in the Cingulo-Opercular Cognitive-Control Network after Intervention in Children with Reading Difficulties , 2015, PloS one.

[54]  Tzipi Horowitz-Kraus,et al.  Increased resting-state functional connectivity of visual- and cognitive-control brain networks after training in children with reading difficulties , 2015, NeuroImage: Clinical.

[55]  Robert K. Heaton,et al.  Demographically Corrected Normative Standards for the English Version of the NIH Toolbox Cognition Battery , 2015, Journal of the International Neuropsychological Society.

[56]  Birk Diedenhofen,et al.  cocor: A Comprehensive Solution for the Statistical Comparison of Correlations , 2015, PloS one.

[57]  S. Holland,et al.  Greater functional connectivity between reading and error-detection regions following training with the reading acceleration program in children with reading difficulties , 2015, Annals of Dyslexia.

[58]  Vince D. Calhoun,et al.  Lateralization of resting state networks and relationship to age and gender , 2015, NeuroImage.

[59]  Steven E. Petersen,et al.  Separable responses to error, ambiguity, and reaction time in cingulo-opercular task control regions , 2014, NeuroImage.

[60]  Ingrid C. Wurpts,et al.  Is adding more indicators to a latent class analysis beneficial or detrimental? Results of a Monte-Carlo study , 2014, Front. Psychol..

[61]  Christopher J. Lonigan,et al.  Relations between inhibitory control and the development of academic skills in preschool and kindergarten: a meta-analysis. , 2014, Developmental psychology.

[62]  Camilla Gilmore,et al.  Skills underlying mathematics: The role of executive function in the development of mathematics proficiency , 2014, Trends in Neuroscience and Education.

[63]  Gregory W. Corder,et al.  Nonparametric Statistics : A Step-by-Step Approach , 2014 .

[64]  Gereon R. Fink,et al.  Dorsal and Ventral Attention Systems , 2014, The Neuroscientist : a review journal bringing neurobiology, neurology and psychiatry.

[65]  Chandra Sripada,et al.  Disrupted network architecture of the resting brain in attention‐deficit/hyperactivity disorder , 2014, Human brain mapping.

[66]  Wanqing Li,et al.  The default mode network and social understanding of others: what do brain connectivity studies tell us , 2014, Front. Hum. Neurosci..

[67]  L. Yao,et al.  Motor Imagery Learning Modulates Functional Connectivity of Multiple Brain Systems in Resting State , 2014, PloS one.

[68]  Timothy O. Laumann,et al.  Methods to detect, characterize, and remove motion artifact in resting state fMRI , 2014, NeuroImage.

[69]  Stefany Coxe,et al.  Statistical Power to Detect the Correct Number of Classes in Latent Profile Analysis , 2013, Structural equation modeling : a multidisciplinary journal.

[70]  L. Koziol,et al.  ADHD as a Model of Brain-Behavior Relationships , 2013, SpringerBriefs in Neuroscience.

[71]  Jared A. Nielsen,et al.  An Evaluation of the Left-Brain vs. Right-Brain Hypothesis with Resting State Functional Connectivity Magnetic Resonance Imaging , 2013, PloS one.

[72]  Roberta Michnick Golinkoff,et al.  IV. NIH Toolbox Cognition Battery (CB): measuring language (vocabulary comprehension and reading decoding). , 2013, Monographs of the Society for Research in Child Development.

[73]  Jacob Cohen.  Differences between Correlation Coefficients , 2013 .

[74]  A. Vance,et al.  Motor imagery skills of children with Attention Deficit Hyperactivity Disorder and Developmental Coordination Disorder. , 2013, Human movement science.

[75]  A. Diamond.  Executive functions. , 2014, Handbook of clinical neurology.

[76]  G. Fink,et al.  Dorsal and Ventral Attention Systems: Distinct Neural Circuits but Collaborative Roles , 2013 .

[77]  R. Ptak.  The Frontoparietal Attention Network of the Human Brain , 2012, The Neuroscientist : a review journal bringing neurobiology, neurology and psychiatry.

[78]  Randy L. Buckner,et al.  The serendipitous discovery of the brain's default network , 2012, NeuroImage.

[79]  Cathy J. Price,et al.  Functional Heterogeneity within the Default Network during Semantic Processing and Speech Production , 2012, Front. Psychology.

[80]  Sheng Zhang,et al.  Functional connectivity mapping of the human precuneus by resting state fMRI , 2012, NeuroImage.

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

[82]  B. Kolb,et al.  Brain plasticity and behaviour in the developing brain. , 2011, Journal of the Canadian Academy of Child and Adolescent Psychiatry = Journal de l'Academie canadienne de psychiatrie de l'enfant et de l'adolescent.

[83]  P. Liddle,et al.  Task-related default mode network modulation and inhibitory control in ADHD: effects of motivation and methylphenidate. , 2011, Journal of child psychology and psychiatry, and allied disciplines.

[84]  D. Sharp,et al.  Fractionating the Default Mode Network: Distinct Contributions of the Ventral and Dorsal Posterior Cingulate Cortex to Cognitive Control , 2011, The Journal of Neuroscience.

[85]  Miranka Wirth,et al.  Semantic memory involvement in the default mode network: A functional neuroimaging study using independent component analysis , 2011, NeuroImage.

[86]  V. Calhoun,et al.  Lateral differences in the default mode network in healthy controls and patients with schizophrenia , 2010, Human brain mapping.

[87]  M. Sheridan,et al.  Family Socioeconomic Status and Child Executive Functions: The Roles of Language, Home Environment, and Single Parenthood , 2010, Journal of the International Neuropsychological Society.

[88]  Daniel L. Schacter,et al.  Default network activity, coupled with the frontoparietal control network, supports goal-directed cognition , 2010, NeuroImage.

[89]  L. Woodward,et al.  Preschool executive functioning abilities predict early mathematics achievement. , 2010, Developmental psychology.

[90]  Michael D. Greicius,et al.  Development of functional and structural connectivity within the default mode network in young children , 2010, NeuroImage.

[91]  Erika Borella,et al.  The Specific Role of Inhibition in Reading Comprehension in Good and Poor Comprehenders , 2010, Journal of learning disabilities.

[92]  T. Dishion,et al.  Predictors of Longitudinal Growth in Inhibitory Control in Early Childhood. , 2010, Social development.

[93]  Justin L. Vincent,et al.  Precuneus shares intrinsic functional architecture in humans and monkeys , 2009, Proceedings of the National Academy of Sciences.

[94]  F. Conners.  Attentional control and the Simple View of reading , 2009 .

[95]  M. Husain,et al.  The functional role of the inferior parietal lobe in the dorsal and ventral stream dichotomy , 2009, Neuropsychologia.

[96]  B. Biswal,et al.  Functional connectivity of default mode network components: Correlation, anticorrelation, and causality , 2009, Human brain mapping.

[97]  G. Logan,et al.  Response inhibition in the stop-signal paradigm , 2008, Trends in Cognitive Sciences.

[98]  M. Corbetta,et al.  The Reorienting System of the Human Brain: From Environment to Theory of Mind , 2008, Neuron.

[99]  S. Petersen,et al.  The maturing architecture of the brain's default network , 2008, Proceedings of the National Academy of Sciences.

[100]  S. Petersen,et al.  A dual-networks architecture of top-down control , 2008, Trends in Cognitive Sciences.

[101]  D. Schacter,et al.  The Brain's Default Network , 2008, Annals of the New York Academy of Sciences.

[102]  Rajita Sinha,et al.  Greater activation of the “default” brain regions predicts stop signal errors , 2007, NeuroImage.

[103]  B. Muthén,et al.  Deciding on the Number of Classes in Latent Class Analysis and Growth Mixture Modeling: A Monte Carlo Simulation Study , 2007 .

[104]  A. Aron.  The Neural Basis of Inhibition in Cognitive Control , 2007, The Neuroscientist : a review journal bringing neurobiology, neurology and psychiatry.

[105]  C. Blair,et al.  Relating effortful control, executive function, and false belief understanding to emerging math and literacy ability in kindergarten. , 2007, Child development.

[106]  G. Glover,et al.  Dissociable Intrinsic Connectivity Networks for Salience Processing and Executive Control , 2007, The Journal of Neuroscience.

[107]  Parashkev Nachev,et al.  Space and the parietal cortex , 2007, Trends in Cognitive Sciences.

[108]  Dena A. Pastor,et al.  A latent profile analysis of college students’ achievement goal orientation , 2007 .

[109]  Hugh W. Catts,et al.  Should the Simple View of Reading Include a Fluency Component? , 2006 .

[110]  Jeffrey R. Binder,et al.  Some neurophysiological constraints on models of word naming , 2005, NeuroImage.

[111]  K. E. Nichols,et al.  Behavioral inhibition: linking biology and behavior within a developmental framework. , 2005, Annual review of psychology.

[112]  T. Senn,et al.  The Contribution of Executive Functions to Emergent Mathematic Skills in Preschool Children , 2004, Developmental neuropsychology.

[113]  I. Kohane,et al.  Gene regulation and DNA damage in the ageing human brain , 2004, Nature.

[114]  T. Robbins,et al.  Inhibition and the right inferior frontal cortex , 2004, Trends in Cognitive Sciences.

[115]  Olivier Ledoit,et al.  A well-conditioned estimator for large-dimensional covariance matrices , 2004 .

[116]  C. Richards,et al.  Brain activations during motor imagery of locomotor‐related tasks: A PET study , 2003, Human brain mapping.

[117]  M. Hallett,et al.  Functional properties of brain areas associated with motor execution and imagery. , 2003, Journal of neurophysiology.

[118]  M. Corbetta,et al.  Control of goal-directed and stimulus-driven attention in the brain , 2002, Nature Reviews Neuroscience.

[119]  M. Korkman,et al.  Differential Development of Attention and Executive Functions in 3- to 12-Year-Old Finnish Children , 2001, Developmental neuropsychology.

[120]  T. Achenbach,et al.  The Child Behavior Checklist and Related Forms for Assessing Behavioral/Emotional Problems and Competencies , 2000, Pediatrics In Review.

[121]  K. K. Harnishfeger,et al.  The development of cognitive inhibition: Theories, definitions, and research evidence , 1995 .

[122]  C. Carver,et al.  Behavioral inhibition, behavioral activation, and affective responses to impending reward and punishment: The BIS/BAS Scales , 1994 .

[123]  D. Bjorklund,et al.  A developmental perspective on individual differences in inhibition , 1994 .

[124]  Bruce F. Pennington,et al.  A normative‐developmental study of executive function: A window on prefrontal function in children , 1991 .

[125]  Philip B. Gough,et al.  Decoding, Reading, and Reading Disability , 1986 .

[126]  G. Logan.  On the ability to inhibit thought and action , 1984 .

[127]  J. Chall.  Stages of reading development , 1983 .

[128]  S. Jay Samuels,et al.  Toward a theory of automatic information processing in reading , 1974 .

[129]  C. Eriksen,et al.  Effects of noise letters upon the identification of a target letter in a nonsearch task , 1974 .