Descriptor : An open resource for transdiagnostic research in pediatric mental health and learning disorders
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Waltz | Natan Vega Potler | Russell H. Tobe | L. Parra | B. Leventhal | C. Lord | T. Paus | K. Merikangas | F. Castellanos | M. Milham | S. Kelly | K. Pugh | A. Klein | R. Craddock | R. Tobe | H. Koplewicz | J. Gardner | B. Karmel | N. Langer | Lei Ai | L. Alexander | F. Castellanos | M. Horton | J. Escalera | Charissa F. Andreotti | Karina Febre | Alexander Mangone | Natan Vega-Potler | Alexis Alexander | Meagan Kovacs | Shannon G. Litke | B. O'Hagan | Jennifer Andersen | Batya Bronstein | A. Bui | M. Bushey | H. Butler | V. Castagna | Nicolas Camacho | E. Chan | Danielle Citera | J. Clucas | Samantha Cohen | Sarah Dufek | M. Eaves | Brian Fradera | Natalie Grant-Villegas | G. Green | Camille Gregory | Emily Hart | Shana Harris | D. Kahn | Katherine E Kabotyanski | Kayla Kleinman | Bonhwang Koo | Eliza Kramer | Elizabeth Lennon | G. Mantello | A. Margolis | Judith Milham | G. Minniti | Rebecca Neuhaus | A. Levine | Yael Osman | Amy Racanello | Anita Restrepo | T. Saltzman | Batya Septimus | Rachel Waltz | Anna Williams | Anna J Yeo | Alexandra Nussbaum | Lindsay M. Alexander | B. O’Hagan | Camacho | Jennifer | Brian | B. Koo | A. Alexander | Kayla Kleinman | Rachel | Natan Vega-Potler | Alexandra Levine | Parra | Anna J. Yeo | Andersen | Gabrielle M. Green | R. Kathleen | A. Williams | Merikangas | R. | Fradera | Cameron R. Craddock | Nicolas | Marijayne T. Bushey | Natan | Vega-Potler | S. Litke | Anastasia Bui | Megan Eaves | C. Lucas | Tian Saltzman | Katherine E. Kabotyanski
[1] Christos Davatzikos,et al. Benchmarking of participant-level confound regression strategies for the control of motion artifact in studies of functional connectivity , 2017, NeuroImage.
[2] Thomas E. Nichols. Notes on Creating a Standardized Version of DVARS , 2017, 1704.01469.
[3] Xintao Hu,et al. Test-retest reliability of functional connectivity networks during naturalistic fMRI paradigms , 2016, bioRxiv.
[4] Petra Ritter,et al. Mapping complementary features of cross‐species structural connectivity to construct realistic “Virtual Brains” , 2017, Human brain mapping.
[5] Daniel P. Kennedy,et al. Enhancing studies of the connectome in autism using the autism brain imaging data exchange II , 2017, Scientific Data.
[6] M. Milham,et al. Clinically Useful Brain Imaging for Neuropsychiatry: How Can We Get There? , 2017, bioRxiv.
[7] R. Cameron Craddock,et al. Individual differences in functional connectivity during naturalistic viewing conditions , 2016, NeuroImage.
[8] R. Cameron Craddock,et al. Data-Driven Phenotypic Categorization for Neurobiological Analyses: Beyond DSM-5 Labels , 2016, Biological Psychiatry.
[9] Lucas C Parra,et al. A resource for assessing information processing in the developing brain using EEG and eye tracking , 2016, Scientific Data.
[10] Satrajit S. Ghosh,et al. Mindboggling morphometry of human brains , 2016, bioRxiv.
[11] C. Lord,et al. Autism Diagnostic Observation Schedule , 2016 .
[12] Satrajit S. Ghosh,et al. The Healthy Brain Network Serial Scanning Initiative: a resource for evaluating inter-individual differences and their reliabilities across scan conditions and sessions , 2016, bioRxiv.
[13] Joseph K. Torgesen,et al. Comprehensive Test of Phonological Processing–Second Edition , 2016 .
[14] Janice Chen,et al. Dynamic reconfiguration of the default mode network during narrative comprehension , 2016, Nature Communications.
[15] Satrajit S. Ghosh,et al. The brain imaging data structure, a format for organizing and describing outputs of neuroimaging experiments , 2016, Scientific Data.
[16] Yunjung Kim,et al. A psychometric investigation of “macroscopic” speech measures for clinical and psychological science , 2016, Behavior research methods.
[17] R. Adolphs,et al. Building a Science of Individual Differences from fMRI , 2016, Trends in Cognitive Sciences.
[18] ALEX V. ROWLANDS,et al. Raw Accelerometer Data Analysis with GGIR R-package: Does Accelerometer Brand Matter? , 2016, Medicine and science in sports and exercise.
[19] Deborah H. Schwartz,et al. Age- and sex-related variations in vocal-tract morphology and voice acoustics during adolescence , 2016, Hormones and Behavior.
[20] Satrajit S. Ghosh,et al. Speaking one's mind: Vocal biomarkers of depression and Parkinson disease , 2016 .
[21] Christine Austin,et al. The tooth exposome in children's health research , 2016, Current opinion in pediatrics.
[22] J. S. Guntupalli,et al. A Model of Representational Spaces in Human Cortex , 2016, Cerebral cortex.
[23] P. A. Lay,et al. Uncovering system-specific stress signatures in primate teeth with multimodal imaging , 2016, Scientific Reports.
[24] Olaf Sporns,et al. Generative models of the human connectome , 2015, NeuroImage.
[25] Evan M. Gordon,et al. Long-term neural and physiological phenotyping of a single human , 2015, Nature Communications.
[26] Tamara Vanderwal,et al. Inscapes: A movie paradigm to improve compliance in functional magnetic resonance imaging , 2015, NeuroImage.
[27] Syam S Andra,et al. Reconstructing pre-natal and early childhood exposure to multi-class organic chemicals using teeth: Towards a retrospective temporal exposome. , 2015, Environment international.
[28] Bruce R. Rosen,et al. Brain Genomics Superstruct Project initial data release with structural, functional, and behavioral measures , 2015, Scientific Data.
[29] Akane Sano,et al. Recognizing academic performance, sleep quality, stress level, and mental health using personality traits, wearable sensors and mobile phones , 2015, 2015 IEEE 12th International Conference on Wearable and Implantable Body Sensor Networks (BSN).
[30] Alberto Llera,et al. ICA-AROMA: A robust ICA-based strategy for removing motion artifacts from fMRI data , 2015, NeuroImage.
[31] T. Insel,et al. Brain disorders? Precisely , 2015, Science.
[32] Janne Kauttonen,et al. Optimizing methods for linking cinematic features to fMRI data , 2015, NeuroImage.
[33] Jonathan D. Power,et al. Recent progress and outstanding issues in motion correction in resting state fMRI , 2015, NeuroImage.
[34] Bing Chen,et al. An open science resource for establishing reliability and reproducibility in functional connectomics , 2014, Scientific Data.
[35] Damien A. Fair,et al. Connectotyping: Model Based Fingerprinting of the Functional Connectome , 2014, PloS one.
[36] 誠 竹厚,et al. Wechsler Intelligence Scale for Children-Fourth Edition(WISC-IV)「絵の抹消」の有用性 , 2014 .
[37] B. Leventhal,et al. Unraveling the Miswired Connectome: A Developmental Perspective , 2014, Neuron.
[38] John S. Johnson,et al. Audience preferences are predicted by temporal reliability of neural processing , 2014, Nature Communications.
[39] Robert O. Wright,et al. Determining Prenatal, Early Childhood and Cumulative Long-Term Lead Exposure Using Micro-Spatial Deciduous Dentine Levels , 2014, PloS one.
[40] Mikhail N Koffarnus,et al. A 5-trial adjusting delay discounting task: accurate discount rates in less than one minute. , 2014, Experimental and clinical psychopharmacology.
[41] John O. Willis,et al. Wechsler Individual Achievement Test–Third Edition , 2014 .
[42] Bharat B. Biswal,et al. Making data sharing work: The FCP/INDI experience , 2013, NeuroImage.
[43] Yufeng Zang,et al. Standardizing the intrinsic brain: Towards robust measurement of inter-individual variation in 1000 functional connectomes , 2013, NeuroImage.
[44] T. Insel,et al. Toward the future of psychiatric diagnosis: the seven pillars of RDoC , 2013, BMC Medicine.
[45] N. Fox,et al. NIH Toolbox for Assessment of Neurological and Behavioral Function , 2013, Neurology.
[46] Simon B. Eickhoff,et al. An improved framework for confound regression and filtering for control of motion artifact in the preprocessing of resting-state functional connectivity data , 2013, NeuroImage.
[47] T. Insel,et al. Why has it taken so long for biological psychiatry to develop clinical tests and what to do about it? , 2012, Molecular Psychiatry.
[48] Jonathan O'Muircheartaigh,et al. Investigating white matter development in infancy and early childhood using myelin water faction and relaxation time mapping , 2012, NeuroImage.
[49] Margaret D. King,et al. The NKI-Rockland Sample: A Model for Accelerating the Pace of Discovery Science in Psychiatry , 2012, Front. Neurosci..
[50] N. Holland,et al. Determining fetal manganese exposure from mantle dentine of deciduous teeth. , 2012, Environmental science & technology.
[51] Deepti R. Bathula,et al. Distinct neuropsychological subgroups in typically developing youth inform heterogeneity in children with ADHD , 2012, Proceedings of the National Academy of Sciences.
[52] Abraham Z. Snyder,et al. Spurious but systematic correlations in functional connectivity MRI networks arise from subject motion , 2012, NeuroImage.
[53] Dost Öngür,et al. Anticorrelations in resting state networks without global signal regression , 2012, NeuroImage.
[54] J. de Jong,et al. CELF preschool-2-NL: clinical evaluation of language fundamentals: preschool - Nederlandstalige versie. Handleiding , 2012 .
[55] Xiaoping Hu,et al. Dual pathways for haptic and visual perception of spatial and texture information , 2011, NeuroImage.
[56] Emma A. Climie,et al. Test Review: D. Wechsler Wechsler Individual Achievement Test—Third Edition. San Antonio, TX: NCS Pearson, 2009 , 2011 .
[57] M. Giannelli,et al. Characterization of Nyquist ghost in EPI‐fMRI acquisition sequences implemented on two clinical 1.5 T MR scanner systems: effect of readout bandwidth and echo spacing , 2010, Journal of applied clinical medical physics.
[58] T. Insel,et al. Wesleyan University From the SelectedWorks of Charles A . Sanislow , Ph . D . 2010 Research Domain Criteria ( RDoC ) : Toward a New Classification Framework for Research on Mental Disorders , 2018 .
[59] Tomáš Paus,et al. Population neuroscience: Why and how , 2010, Human brain mapping.
[60] Steen Moeller,et al. Multiband multislice GE‐EPI at 7 tesla, with 16‐fold acceleration using partial parallel imaging with application to high spatial and temporal whole‐brain fMRI , 2010, Magnetic resonance in medicine.
[61] S. Embretson,et al. Item Response Theory and Its Application to Measurement in Behavioral Medicine , 2010 .
[62] E. Storch,et al. Yale Global Tic Severity Scale (YGTSS) , 2010 .
[63] Jean-Philippe Thiran,et al. Automatic quality assessment in structural brain magnetic resonance imaging , 2009, Magnetic resonance in medicine.
[64] Thomas T. Liu,et al. A component based noise correction method (CompCor) for BOLD and perfusion based fMRI , 2007, NeuroImage.
[65] Xiaoping Hu,et al. Verifying visual fixation to improve fMRI with predictive eye estimation regression (PEER) , 2007 .
[66] M. Arora,et al. Spatial distribution of lead in human primary teeth as a biomarker of pre- and neonatal lead exposure. , 2006, The Science of the total environment.
[67] Gary H. Glover,et al. Reducing inter-scanner variability of activation in a multicenter fMRI study: Role of smoothness equalization , 2006, NeuroImage.
[68] Lee Friedman,et al. Measurement of Signal-to-Noise and Contrast-to-Noise in the fBIRN Multicenter Imaging Study , 2006, Journal of Digital Imaging.
[69] Olga V. Demler,et al. Lifetime prevalence and age-of-onset distributions of DSM-IV disorders in the National Comorbidity Survey Replication. , 2005, Archives of general psychiatry.
[70] Steven P. Reise,et al. Item Response Theory , 2005 .
[71] P. Fayers. Item Response Theory for Psychologists , 2004, Quality of Life Research.
[72] Arnaud Delorme,et al. EEGLAB: an open source toolbox for analysis of single-trial EEG dynamics including independent component analysis , 2004, Journal of Neuroscience Methods.
[73] Michael Brady,et al. Improved Optimization for the Robust and Accurate Linear Registration and Motion Correction of Brain Images , 2002, NeuroImage.
[74] Jonathan Gershon,et al. A Meta-Analytic Review of Gender Differences in ADHD , 2002, Journal of attention disorders.
[75] G. Koch. Oral anatomy , histology and embryology , 2002, British Dental Journal.
[76] B. Birmaher,et al. Psychometric properties of the Screen for Child Anxiety Related Emotional Disorders (SCARED): a replication study. , 1999, Journal of the American Academy of Child and Adolescent Psychiatry.
[77] Rachelle M. Bruno,et al. Comprehensive Test of Phonological Processing (CTOPP) , 1999 .
[78] C. A. Rashotte,et al. Test of Word Reading Efficiency , 1999 .
[79] David Atkinson,et al. Automatic correction of motion artifacts in magnetic resonance images using an entropy focus criterion , 1997, IEEE Transactions on Medical Imaging.
[80] 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.
[81] R W Cox,et al. AFNI: software for analysis and visualization of functional magnetic resonance neuroimages. , 1996, Computers and biomedical research, an international journal.
[82] T. Achenbach. Integrative Guide for the 1991 CBCL/4-18, Ysr, and Trf Profiles , 1991 .
[83] Christine E. DeMars,et al. Item Response Theory , 2010, Assessing Measurement Invariance for Applied Research.