Thalamus is a common locus of reading, arithmetic, and IQ: Analysis of local intrinsic functional properties
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Peter J. Molfese | Maki S. Koyama | M. Milham | K. Pugh | W. Mencl | Kenneth R. Pugh | Maki S. Koyama
[1] Diagnostic and Statistical Manual of Mental Disorders, 5th Edition , 2020, Definitions.
[2] Evan M. Gordon,et al. Integrative and Network-Specific Connectivity of the Basal Ganglia and Thalamus Defined in Individuals , 2019, Neuron.
[3] Steven E. Petersen,et al. A set of functionally-defined brain regions with improved representation of the subcortex and cerebellum , 2018, NeuroImage.
[4] Xiaojun Du,et al. Relapsing-Remitting Multiple Sclerosis Is Associated With Regional Brain Activity Deficits in Motor- and Cognitive-Related Brain Areas , 2019, Front. Neurol..
[5] M. Hoptman,et al. Cognitive Control Network Homogeneity and Executive Functions in Late-Life Depression. , 2019, Biological psychiatry. Cognitive neuroscience and neuroimaging.
[6] Eileen M. Napoliello,et al. Cerebellar function in children with and without dyslexia during single word processing , 2019, Human brain mapping.
[7] Feng Liu,et al. Reduced Brain Activity in the Right Putamen as an Early Predictor for Treatment Response in Drug-Naive, First-Episode Schizophrenia , 2019, Front. Psychiatry.
[8] S. Buono,et al. Reading skills in children with mild to borderline intellectual disability: a cross-sectional study on second to eighth graders. , 2019, Journal of intellectual disability research : JIDR.
[9] J. Stein. The current status of the magnocellular theory of developmental dyslexia , 2019, Neuropsychologia.
[10] R. Al‐Khudairi,et al. Adults with intellectual disability and Attention Deficit Hyperactivity Disorder: Clinical characteristics and medication profiles , 2019, British Journal of Learning Disabilities.
[11] O. Houdé,et al. The local properties of bold signal fluctuations at rest monitor inhibitory control training in adolescents , 2019, Developmental Cognitive Neuroscience.
[12] M. Hornberger,et al. Regional Dynamics of the Resting Brain in Amyotrophic Lateral Sclerosis Using Fractional Amplitude of Low-Frequency Fluctuations and Regional Homogeneity Analyses , 2019, Brain Connect..
[13] Peng Peng,et al. A Meta-Analysis on the Relation Between Fluid Intelligence and Reading/Mathematics: Effects of Tasks, Age, and Social Economics Status , 2019, Psychological bulletin.
[14] Mingui Sun,et al. Alterations in patients with major depressive disorder before and after electroconvulsive therapy measured by fractional amplitude of low-frequency fluctuations (fALFF). , 2019, Journal of affective disorders.
[15] Jay G Rueckl,et al. Common Neural Basis of Motor Sequence Learning and Word Recognition and Its Relation With Individual Differences in Reading Skill , 2019, Scientific studies of reading : the official journal of the Society for the Scientific Study of Reading.
[16] Dante Mantini,et al. Multi-method brain imaging reveals impaired representations of number as well as altered connectivity in adults with dyscalculia , 2019, NeuroImage.
[17] Ulman Lindenberger,et al. Local temporal variability reflects functional integration in the human brain , 2018, NeuroImage.
[18] T. Bonhoeffer,et al. Experience-dependent plasticity in the lateral geniculate nucleus , 2018, Current Opinion in Neurobiology.
[19] Xiao Liu,et al. Co-activation patterns in resting-state fMRI signals , 2018, NeuroImage.
[20] Daihong Liu,et al. Disrupted local neural activity and functional connectivity in subjective tinnitus patients: evidence from resting-state fMRI study , 2018, Neuroradiology.
[21] G. Lerma-Usabiaga,et al. Neural correlates of phonological, orthographic and semantic reading processing in dyslexia , 2018, NeuroImage: Clinical.
[22] Tien-Wen Lee,et al. Spontaneous activity in medial orbitofrontal cortex correlates with trait anxiety in healthy male adults , 2018, Journal of Zhejiang University-SCIENCE B.
[23] Tanya M. Evans,et al. Neural signatures of co-occurring reading and mathematical difficulties. , 2018, Developmental science.
[24] G. M. Wolf,et al. Developing Reading Automaticity and Fluency: Revisiting What Reading Teachers Know, Putting Confirmed Research into Current Practice , 2018 .
[25] Yuan Li,et al. Abnormalities of regional homogeneity and its correlation with clinical symptoms in Naïve patients with first-episode schizophrenia , 2018, Brain Imaging and Behavior.
[26] Katharina Lambert,et al. Conservation Abilities, Visuospatial Skills, and Numerosity Processing Speed: Association With Math Achievement and Math Difficulties in Elementary School Children , 2018, Journal of learning disabilities.
[27] J. Stein. What is Developmental Dyslexia? , 2018, Brain sciences.
[28] J. L. Puga,et al. Computer-Based Training in Math and Working Memory Improves Cognitive Skills and Academic Achievement in Primary School Children: Behavioral Results , 2018, Front. Psychol..
[29] Anil Bollimunta,et al. Selective attention without a neocortex , 2017, Cortex.
[30] Michael W. Cole,et al. Heterogeneity within the frontoparietal control network and its relationship to the default and dorsal attention networks , 2017, Proceedings of the National Academy of Sciences.
[31] Rebecca Merkley,et al. The Control of Selective Attention and Emerging Mathematical Cognition , 2018 .
[32] G. Salum,et al. Low frequency fluctuation of brain spontaneous activity and obsessive-compulsive symptoms in a large school-age sample. , 2018, Journal of psychiatric research.
[33] K. Zilles,et al. Microarchitecture and connectivity of the parietal lobe. , 2018, Handbook of clinical neurology.
[34] Sabine Kastner,et al. Thalamic functions in distributed cognitive control , 2017, Nature Neuroscience.
[35] Maki S. Koyama,et al. A Modulatory Effect of Brief Passive Exposure to Non-linguistic Sounds on Intrinsic Functional Connectivity: Relevance to Cognitive Performance , 2017, Cerebral cortex.
[36] Michael S. A. Graziano,et al. The inferior parietal lobule and temporoparietal junction: A network perspective , 2017, Neuropsychologia.
[37] Andrew Zalesky,et al. Reconfiguration of Brain Network Architectures between Resting-State and Complexity-Dependent Cognitive Reasoning , 2017, The Journal of Neuroscience.
[38] Alan Connelly,et al. Neonatal basal ganglia and thalamic volumes: Very preterm birth and 7-year neurodevelopmental outcomes , 2017, Pediatric Research.
[39] Elena Commodari,et al. Novice Readers: The Role of Focused, Selective, Distributed and Alternating Attention at the First Year of the Academic Curriculum , 2017, i-Perception.
[40] T. Moore,et al. Linking ADHD to the Neural Circuitry of Attention , 2017, Trends in Cognitive Sciences.
[41] Thomas Lowrie,et al. Visuospatial training improves elementary students’ mathematics performance , 2017, The British journal of educational psychology.
[42] K. Kucian,et al. Functional hyperconnectivity vanishes in children with developmental dyscalculia after numerical intervention , 2017, Developmental Cognitive Neuroscience.
[43] Maxwell A. Bertolero,et al. The Human Thalamus Is an Integrative Hub for Functional Brain Networks , 2016, The Journal of Neuroscience.
[44] Kirsten Ellis,et al. Computerised attention training for children with intellectual and developmental disabilities: a randomised controlled trial. , 2016, Journal of child psychology and psychiatry, and allied disciplines.
[45] R. Kievit,et al. How Common are WM Deficits in Children with Difficulties in Reading and Mathematics?☆ , 2016, Journal of applied research in memory and cognition.
[46] Jessica R. Cohen,et al. The Segregation and Integration of Distinct Brain Networks and Their Relationship to Cognition , 2016, The Journal of Neuroscience.
[47] J. Gabrieli,et al. Shared temporoparietal dysfunction in dyslexia and typical readers with discrepantly high IQ , 2016, Trends in Neuroscience and Education.
[48] J. Mann,et al. Short-term Effects of Risperidone Monotherapy on Spontaneous Brain Activity in First-episode Treatment-naïve Schizophrenia Patients: A Longitudinal fMRI Study , 2016, Scientific Reports.
[49] S. Bray,et al. Individual Differences in Adult Reading Are Associated with Left Temporo-parietal to Dorsal Striatal Functional Connectivity. , 2016, Cerebral cortex.
[50] Angela R. Laird,et al. Left inferior parietal lobe engagement in social cognition and language , 2016, Neuroscience & Biobehavioral Reviews.
[51] Michael W. Cole,et al. Higher Intelligence Is Associated with Less Task-Related Brain Network Reconfiguration , 2016, The Journal of Neuroscience.
[52] F. Zitman,et al. It is time to bring borderline intellectual functioning back into the main fold of classification systems , 2016, BJPsych Bulletin.
[53] Hui Zhao,et al. Parietal hyper-connectivity, aberrant brain organization, and circuit-based biomarkers in children with mathematical disabilities. , 2016, Developmental science.
[54] D. Geary,et al. Predicting Children's Reading and Mathematics Achievement from Early Quantitative Knowledge and Domain-General Cognitive Abilities , 2016, Front. Psychol..
[55] Yuanqing Li,et al. Selective Audiovisual Semantic Integration Enabled by Feature-Selective Attention , 2016, Scientific Reports.
[56] Robert Desimone,et al. Pulvinar-Cortex Interactions in Vision and Attention , 2016, Neuron.
[57] Dina R. Dajani,et al. Local brain connectivity across development in autism spectrum disorder: A cross‐sectional investigation , 2016, Autism research : official journal of the International Society for Autism Research.
[58] Xi-Nian Zuo,et al. Regional Homogeneity , 2015, The Neuroscientist : a review journal bringing neurobiology, neurology and psychiatry.
[59] M. Adler. Diagnostic and Statistical Manual of Mental Disorders, 4th Edition , 2016 .
[60] B. Pennington,et al. The Colorado Longitudinal Twin Study of Reading Difficulties and ADHD: Etiologies of Comorbidity and Stability , 2015, Twin Research and Human Genetics.
[61] Maki S. Koyama,et al. Intrinsic brain indices of verbal working memory capacity in children and adolescents , 2015, Developmental Cognitive Neuroscience.
[62] X. Wang,et al. Regional amplitude of the low-frequency fluctuations at rest predicts word-reading skill , 2015, Neuroscience.
[63] H. Ackermann,et al. Network Modeling for Functional Magnetic Resonance Imaging (fMRI) Signals during Ultra-Fast Speech Comprehension in Late-Blind Listeners , 2015, PloS one.
[64] P. Fox,et al. Human pulvinar functional organization and connectivity , 2015, Human brain mapping.
[65] Taylor W. Webb,et al. Neural Processes in the Human Temporoparietal Cortex Separated by Localized Independent Component Analysis , 2015, The Journal of Neuroscience.
[66] Chunshui Yu,et al. Altered Spontaneous Brain Activity in Schizophrenia: A Meta-Analysis and a Large-Sample Study , 2015, BioMed research international.
[67] Tomoki Arichi,et al. Specialization and integration of functional thalamocortical connectivity in the human infant , 2015, Proceedings of the National Academy of Sciences.
[68] Russell A. Poldrack,et al. Orthogonalization of Regressors in fMRI Models , 2015, PloS one.
[69] M. Kronbichler,et al. Reading in the brain of children and adults: A meta‐analysis of 40 functional magnetic resonance imaging studies , 2015, Human brain mapping.
[70] Carter Wendelken,et al. Meta-analysis: how does posterior parietal cortex contribute to reasoning? , 2015, Front. Hum. Neurosci..
[71] William H Theodore,et al. The Relationship between Glucose Metabolism, Resting-State fMRI BOLD Signal, and GABAA-Binding Potential: A Preliminary Study in Healthy Subjects and Those with Temporal Lobe Epilepsy , 2015, Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism.
[72] Tianzi Jiang,et al. Convergent functional architecture of the superior parietal lobule unraveled with multimodal neuroimaging approaches , 2015, Human brain mapping.
[73] Robert Plomin,et al. Does Learning to Read Improve Intelligence? A Longitudinal Multivariate Analysis in Identical Twins From Age 7 to 16 , 2014, Child development.
[74] Xi-Nian Zuo,et al. Regional Homogeneity : A Multimodal , Multiscale Neuroimaging Marker of the Human Connectome , 2015 .
[75] Xi-Nian Zuo,et al. Toward neurobiological characterization of functional homogeneity in the human cortex: regional variation, morphological association and functional covariance network organization , 2014, Brain Structure and Function.
[76] B. De Smedt,et al. Numerical magnitude processing deficits in children with mathematical difficulties are independent of intelligence. , 2014, Research in developmental disabilities.
[77] V. Blasi,et al. Abnormal development of sensory-motor, visual temporal and parahippocampal cortex in children with learning disabilities and borderline intellectual functioning , 2014, Front. Hum. Neurosci..
[78] B T Thomas Yeo,et al. Reconfigurable task-dependent functional coupling modes cluster around a core functional architecture , 2014, Philosophical Transactions of the Royal Society B: Biological Sciences.
[79] M. Lewandowska,et al. Reduced resting-state brain activity in the default mode network in children with (central) auditory processing disorders , 2014, Behavioral and Brain Functions.
[80] Simone Kühn,et al. The neural basis of unwanted thoughts during resting state. , 2014, Social cognitive and affective neuroscience.
[81] Jonathan D. Power,et al. Intrinsic and Task-Evoked Network Architectures of the Human Brain , 2014, Neuron.
[82] E. Vogel,et al. Working memory and fluid intelligence: Capacity, attention control, and secondary memory retrieval , 2014, Cognitive Psychology.
[83] Urs Maurer,et al. Selective attention to phonology dynamically modulates initial encoding of auditory words within the left hemisphere , 2014, NeuroImage.
[84] Gereon R. Fink,et al. Dorsal and Ventral Attention Systems , 2014, The Neuroscientist : a review journal bringing neurobiology, neurology and psychiatry.
[85] Wanqing Li,et al. The default mode network and social understanding of others: what do brain connectivity studies tell us , 2014, Front. Hum. Neurosci..
[86] John O. Willis,et al. Wechsler Abbreviated Scale of Intelligence , 2014 .
[87] Sophie K. Scott,et al. Auditory neuroimaging with fMRI and PET , 2014, Hearing Research.
[88] J. Fletcher,et al. Does IQ affect the functional brain network involved in pseudoword reading in students with reading disability? A magnetoencephalography study , 2014, Front. Hum. Neurosci..
[89] Bart Rypma,et al. Regional homogeneity of resting-state fMRI contributes to both neurovascular and task activation variations. , 2013, Magnetic resonance imaging.
[90] Yufeng Zang,et al. Standardizing the intrinsic brain: Towards robust measurement of inter-individual variation in 1000 functional connectomes , 2013, NeuroImage.
[91] Bharat B. Biswal,et al. Task vs. rest—different network configurations between the coactivation and the resting-state brain networks , 2013, Front. Hum. Neurosci..
[92] Sarit Ashkenazi,et al. Visuo–spatial working memory is an important source of domain-general vulnerability in the development of arithmetic cognition , 2013, Neuropsychologia.
[93] H. Ackermann,et al. Ultra-fast speech comprehension in blind subjects engages primary visual cortex, fusiform gyrus, and pulvinar – a functional magnetic resonance imaging (fMRI) study , 2013, BMC Neuroscience.
[94] F. Ehlen,et al. Functional roles of the thalamus for language capacities , 2013, Front. Syst. Neurosci..
[95] D. Llano. Functional imaging of the thalamus in language , 2013, Brain and Language.
[96] Bruce Crosson,et al. Thalamic mechanisms in language: A reconsideration based on recent findings and concepts , 2013, Brain and Language.
[97] R. Pekrun,et al. Predicting long-term growth in students' mathematics achievement: the unique contributions of motivation and cognitive strategies. , 2013, Child development.
[98] Cathy J. Price,et al. The influence of reading ability on subsequent changes in verbal IQ in the teenage years , 2013, Developmental Cognitive Neuroscience.
[99] Joseph V. Hajnal,et al. Development of cortical microstructure in the preterm human brain , 2013, Proceedings of the National Academy of Sciences.
[100] Brenda R. J. Jansen,et al. Math practice and its influence on math skills and executive functions in adolescents with mild to borderline intellectual disability. , 2013, Research in developmental disabilities.
[101] K. Pugh,et al. The relationship between phonological and auditory processing and brain organization in beginning readers , 2013, Brain and Language.
[102] Klaudius Kalcher,et al. RESCALE: Voxel-specific task-fMRI scaling using resting state fluctuation amplitude , 2013, NeuroImage.
[103] J. Démonet,et al. Role of the superior parietal lobules in letter-identity processing within strings: FMRI evidence from skilled and dyslexicreaders , 2013, Neuropsychologia.
[104] B. Pennington,et al. Comorbidity Between Reading Disability and Math Disability , 2013, Journal of learning disabilities.
[105] G. Fink,et al. Dorsal and Ventral Attention Systems: Distinct Neural Circuits but Collaborative Roles , 2013 .
[106] Yong He,et al. Atypical pulvinar-cortical pathways during sustained attention performance in children with attention-deficit/hyperactivity disorder. , 2012, Journal of the American Academy of Child and Adolescent Psychiatry.
[107] Daniel Ansari,et al. The role of the left intraparietal sulcus in the relationship between symbolic number processing and children's arithmetic competence , 2012, Developmental Cognitive Neuroscience.
[108] John A. Detre,et al. Relations between BOLD fMRI-Derived Resting Brain Activity and Cerebral Blood Flow , 2012, PloS one.
[109] Y. Saalmann,et al. The Pulvinar Regulates Information Transmission Between Cortical Areas Based on Attention Demands , 2012, Science.
[110] S. Kiebel,et al. Dysfunction of the auditory thalamus in developmental dyslexia , 2012, Proceedings of the National Academy of Sciences.
[111] J. Obleser,et al. Auditory skills and brain morphology predict individual differences in adaptation to degraded speech , 2012, Neuropsychologia.
[112] Sarah Shomstein,et al. Cognitive functions of the posterior parietal cortex: top-down and bottom-up attentional control , 2012, Front. Integr. Neurosci..
[113] Caitlin Tenison,et al. Weak task-related modulation and stimulus representations during arithmetic problem solving in children with developmental dyscalculia , 2012, Developmental Cognitive Neuroscience.
[114] D. Bavelier,et al. The role of selective attention on academic foundations: A cognitive neuroscience perspective , 2012, Developmental Cognitive Neuroscience.
[115] David Whitney,et al. Attention gates visual coding in the human pulvinar , 2012, Nature Communications.
[116] Daniel Rueckert,et al. The Effect of Preterm Birth on Thalamic and Cortical Development , 2011, Cerebral cortex.
[117] Masae Sato,et al. Reading in the brain , 2012 .
[118] Charles Hulme,et al. The Brain Basis of the Phonological Deficit in Dyslexia Is Independent of IQ , 2011, Psychological science.
[119] J. Démonet,et al. Superior parietal lobule dysfunction in a homogeneous group of dyslexic children with a visual attention span disorder , 2011, Brain and Language.
[120] E. Walker,et al. Diagnostic and Statistical Manual of Mental Disorders , 2013 .
[121] Bert De Smedt,et al. Effects of problem size and arithmetic operation on brain activation during calculation in children with varying levels of arithmetical fluency , 2011, NeuroImage.
[122] Vinod Menon,et al. What Difference Does a Year of Schooling Make? Maturation of Brain Response and Connectivity between 2nd and 3rd Grades during Arithmetic Problem Solving , 2022 .
[123] Y. Saalmann,et al. Cognitive and Perceptual Functions of the Visual Thalamus , 2011, Neuron.
[124] Xi-Nian Zuo,et al. Resting-State Functional Connectivity Indexes Reading Competence in Children and Adults , 2011, The Journal of Neuroscience.
[125] Timothy Edward John Behrens,et al. Diffusion-Weighted Imaging Tractography-Based Parcellation of the Human Parietal Cortex and Comparison with Human and Macaque Resting-State Functional Connectivity , 2011, The Journal of Neuroscience.
[126] Yufeng Zang,et al. Linking inter-individual differences in neural activation and behavior to intrinsic brain dynamics , 2011, NeuroImage.
[127] Arno Klein,et al. A reproducible evaluation of ANTs similarity metric performance in brain image registration , 2011, NeuroImage.
[128] Margot J. Taylor,et al. Is 2+2=4? Meta-analyses of brain areas needed for numbers and calculations , 2011, NeuroImage.
[129] A. Snyder,et al. Longitudinal analysis of neural network development in preterm infants. , 2010, Cerebral cortex.
[130] Marc Joliot,et al. Mapping numerical processing, reading, and executive functions in the developing brain: an fMRI meta-analysis of 52 studies including 842 children. , 2010, Developmental science.
[131] T. Alloway,et al. Working memory and executive function profiles of individuals with borderline intellectual functioning. , 2010, Journal of intellectual disability research : JIDR.
[132] Melanie R. Kuhn,et al. Review of Research: Aligning Theory and Assessment of Reading Fluency: Automaticity, Prosody, and Definitions of Fluency , 2010 .
[133] M. Mallar Chakravarty,et al. Morphological abnormalities of the thalamus in youths with attention deficit hyperactivity disorder. , 2010, The American journal of psychiatry.
[134] Vinod Menon,et al. Developmental cognitive neuroscience of arithmetic: implications for learning and education , 2010, ZDM : the international journal on mathematics education.
[135] S. Bartel-Friedrich,et al. Development of fMRI tests for children with central auditory processing disorders. , 2010, In vivo.
[136] Abraham Z. Snyder,et al. Maturing Thalamocortical Functional Connectivity Across Development , 2010, Front. Syst. Neurosci..
[137] Bruce Fischl,et al. Accurate and robust brain image alignment using boundary-based registration , 2009, NeuroImage.
[138] Amy E Barth,et al. IQ is Not Strongly Related to Response to Reading Instruction: A Meta-Analytic Interpretation , 2009, Exceptional children.
[139] H. Wimmer,et al. Functional abnormalities in the dyslexic brain: A quantitative meta‐analysis of neuroimaging studies , 2009, Human brain mapping.
[140] Stephen M Smith,et al. Correspondence of the brain's functional architecture during activation and rest , 2009, Proceedings of the National Academy of Sciences.
[141] E. Bixler,et al. IQ and Neuropsychological Predictors of Academic Achievement. , 2009 .
[142] Jessica A. Turner,et al. Neuroinformatics Original Research Article , 2022 .
[143] M. Barnes,et al. Why IQ is not a covariate in cognitive studies of neurodevelopmental disorders , 2009, Journal of the International Neuropsychological Society.
[144] J. Bramham,et al. Neuropsychological characteristics of adults with comorbid ADHD and borderline/mild intellectual disability. , 2009, Research in developmental disabilities.
[145] W. K. Simmons,et al. Circular analysis in systems neuroscience: the dangers of double dipping , 2009, Nature Neuroscience.
[146] Gregory Hickok,et al. Selective attention to semantic and syntactic features modulates sentence processing networks in anterior temporal cortex. , 2009, Cerebral cortex.
[147] Karen G. Martínez,et al. Extending Fear Extinction Beyond Anxiety Disorders , 2009, Biological Psychiatry.
[148] A. T. Smith,et al. Dissociating vision and visual attention in the human pulvinar. , 2009, Journal of neurophysiology.
[149] J. Volpe. Brain injury in premature infants: a complex amalgam of destructive and developmental disturbances , 2009, The Lancet Neurology.
[150] Barbara J. Wendling,et al. Woodcock-Johnson III Tests of Achievement. , 2009 .
[151] J. Maisog,et al. A Meta‐analysis of Functional Neuroimaging Studies of Dyslexia , 2008, Annals of the New York Academy of Sciences.
[152] K. Amunts,et al. Probabilistic maps, morphometry, and variability of cytoarchitectonic areas in the human superior parietal cortex. , 2008, Cerebral cortex.
[153] S. Petersen,et al. A developmental fMRI study of reading and repetition reveals changes in phonological and visual mechanisms over age. , 2008, Cerebral cortex.
[154] B. Shaywitz,et al. Paying attention to reading: The neurobiology of reading and dyslexia , 2008, Development and Psychopathology.
[155] M. Just,et al. Modifying the brain activation of poor readers during sentence comprehension with extended remedial instruction: A longitudinal study of neuroplasticity , 2008, Neuropsychologia.
[156] 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.
[157] R. Todd Constable,et al. Effects of Stimulus Difficulty and Repetition on Printed Word Identification: An fMRI Comparison of Nonimpaired and Reading-disabled Adolescent Cohorts , 2008, Journal of Cognitive Neuroscience.
[158] A. Schleicher,et al. Observer-independent cytoarchitectonic mapping of the human superior parietal cortex. , 2008, Cerebral cortex.
[159] S. Yantis. The Neural Basis of Selective Attention , 2008, Current directions in psychological science.
[160] S. Petersen,et al. A dual-networks architecture of top-down control , 2008, Trends in Cognitive Sciences.
[161] D. Schacter,et al. The Brain's Default Network , 2008, Annals of the New York Academy of Sciences.
[162] Bharat B. Biswal,et al. Competition between functional brain networks mediates behavioral variability , 2008, NeuroImage.
[163] Jon H. Kaas,et al. Pulvinar contributions to the dorsal and ventral streams of visual processing in primates , 2007, Brain Research Reviews.
[164] Thomas T. Liu,et al. A component based noise correction method (CompCor) for BOLD and perfusion based fMRI , 2007, NeuroImage.
[165] Justin L. Vincent,et al. Distinct brain networks for adaptive and stable task control in humans , 2007, Proceedings of the National Academy of Sciences.
[166] R. Haier,et al. The Parieto-Frontal Integration Theory (P-FIT) of intelligence: Converging neuroimaging evidence , 2007, Behavioral and Brain Sciences.
[167] J. Gabrieli,et al. Neural correlates of rapid auditory processing are disrupted in children with developmental dyslexia and ameliorated with training: an fMRI study. , 2007, Restorative neurology and neuroscience.
[168] Derek Besner,et al. Reading aloud is not automatic: processing capacity is required to generate a phonological code from print. , 2006, Journal of experimental psychology. Human perception and performance.
[169] M. Just,et al. From the Selectedworks of Marcel Adam Just Neural Basis of Dyslexia: a Comparison between Dyslexic and Non-dyslexic Children Equated for Reading Ability Neural Basis of Dyslexia: a Comparison between Dyslexic and Nondyslexic Children Equated for Reading Ability , 2022 .
[170] Justin L. Vincent,et al. Spontaneous neuronal activity distinguishes human dorsal and ventral attention systems. , 2006, Proceedings of the National Academy of Sciences of the United States of America.
[171] Kristina M. Visscher,et al. A Core System for the Implementation of Task Sets , 2006, Neuron.
[172] Vladimir M. Sloutsky,et al. fMRI Evidence for a Three-Stage Model of Deductive Reasoning , 2006, Journal of Cognitive Neuroscience.
[173] D. Collins,et al. The creation of a brain atlas for image guided neurosurgery using serial histological data , 2003, NeuroImage.
[174] V Menon,et al. Cerebral Cortex doi:10.1093/cercor/bhi055 Developmental Changes in Mental Arithmetic: Evidence for Increased Functional Specialization in the Left Inferior Parietal Cortex , 2005 .
[175] Bernard Mazoyer,et al. Word and non-word reading: What role for the Visual Word Form Area? , 2005, NeuroImage.
[176] Sloutsky,et al. The Neural Correlates of Logical Thinking: An Event-Related fMRI Study , 2005 .
[177] Karen M. Jones,et al. Neural Changes following Remediation in Adult Developmental Dyslexia , 2004, Neuron.
[178] Eric A Youngstrom,et al. Meta-analysis of intellectual and neuropsychological test performance in attention-deficit/hyperactivity disorder. , 2004, Neuropsychology.
[179] Yingli Lu,et al. Regional homogeneity approach to fMRI data analysis , 2004, NeuroImage.
[180] Dana Samson,et al. Left temporoparietal junction is necessary for representing someone else's belief , 2004, Nature Neuroscience.
[181] Stanislas Dehaene,et al. Arithmetic and the Brain This Review Comes from a Themed Issue on Cognitive Neuroscience Edited the Intraparietal Sulcus and Number Sense Number Sense in the Animal Brain , 2022 .
[182] Sabine Kastner,et al. Functional imaging of the human lateral geniculate nucleus and pulvinar. , 2004, Journal of neurophysiology.
[183] John Lisman,et al. Recognition by top-down and bottom-up processing in cortex: the control of selective attention. , 2003, Journal of neurophysiology.
[184] A. Kleinschmidt,et al. Modulation of neural responses to speech by directing attention to voices or verbal content. , 2003, Brain research. Cognitive brain research.
[185] S. Dehaene,et al. THREE PARIETAL CIRCUITS FOR NUMBER PROCESSING , 2003, Cognitive neuropsychology.
[186] Michael Brady,et al. Improved Optimization for the Robust and Accurate Linear Registration and Motion Correction of Brain Images , 2002, NeuroImage.
[187] M. Corbetta,et al. Control of goal-directed and stimulus-driven attention in the brain , 2002, Nature Reviews Neuroscience.
[188] R. Dolan,et al. Functional neuroanatomy of three-term relational reasoning , 2001, Neuropsychologia.
[189] D. Brodeur,et al. The Development of Selective Attention in Children With Attention Deficit Hyperactivity Disorder , 2001, Journal of abnormal child psychology.
[190] G L Shulman,et al. INAUGURAL ARTICLE by a Recently Elected Academy Member:A default mode of brain function , 2001 .
[191] F. Gagné,et al. When IQ is controlled, does motivation still predict achievement? $ , 2001 .
[192] S. Calhoun,et al. Learning Disabilities and ADHD , 2000 .
[193] Frank R. Vellutino,et al. Differentiating Between Difficult-to-Remediate and Readily Remediated Poor Readers , 2000, Journal of learning disabilities.
[194] Gordon D. Logan,et al. Automaticity and Reading: Perspectives from the Instance Theory of Automatization. , 1997 .
[195] Dani Byrd,et al. Auditory Selective Attention: An fMRI Investigation , 1996, NeuroImage.
[196] D. Francis,et al. Defining Learning and Language Disabilities , 1996 .
[197] Karl J. Friston,et al. Movement‐Related effects in fMRI time‐series , 1996, Magnetic resonance in medicine.
[198] Anne E. Fowler,et al. Cognitive profiles of reading disability: Comparisons of discrepancy and low achievement definitions. , 1994 .
[199] D. Francis,et al. The Validity of Discrepancy-Based Definitions of Reading Disabilities , 1992, Journal of learning disabilities.
[200] S E Shaywitz,et al. Evidence that dyslexia may represent the lower tail of a normal distribution of reading ability. , 1992, The New England journal of medicine.
[201] S. Rose. Selective attention , 1992, Nature.
[202] O. Spreen,et al. A Compendium of Neuropsychological Tests: Administration, Norms, and Commentary , 1991 .
[203] Jim Stevenson,et al. Which aspects of reading ability show a ‘hump’ in their distribution? , 1988 .
[204] B. Rodgers,et al. The identification and prevalence of specific reading retardation. , 1983, The British journal of educational psychology.
[205] M. Rutter,et al. The concept of specific reading retardation. , 1975, Journal of child psychology and psychiatry, and allied disciplines.
[206] R. C. Oldfield. The assessment and analysis of handedness: the Edinburgh inventory. , 1971, Neuropsychologia.
[207] Peter H. Schurr,et al. Human Thalamus , 1970 .