The ADHD-200 Consortium: A Model to Advance the Translational Potential of Neuroimaging in Clinical Neuroscience
about
An evaluation of the left-brain vs. right-brain hypothesis with resting state functional connectivity magnetic resonance imagingClinical applications of the functional connectomeThe rise of large-scale imaging studies in psychiatryMaking Data Sharing Count: A Publication-Based SolutionCyberinfrastructure for Open Science at the Montreal Neurological InstituteMotion-related artifacts in structural brain images revealed with independent estimates of in-scanner head motionA Tool for Interactive Data Visualization: Application to Over 10,000 Brain Imaging and Phantom MRI Data SetsBig Data Approaches for the Analysis of Large-Scale fMRI Data Using Apache Spark and GPU Processing: A Demonstration on Resting-State fMRI Data from the Human Connectome ProjectA neuromarker of sustained attention from whole-brain functional connectivityICA-based artifact removal diminishes scan site differences in multi-center resting-state fMRIViolence: heightened brain attentional network response is selectively muted in Down syndromeConnectomics and new approaches for analyzing human brain functional connectivityPRN: a preprint service for catalyzing R-fMRI and neuroscience related studiesNetwork connectivity abnormality profile supports a categorical-dimensional hybrid model of ADHDAbnormal functional resting-state networks in ADHD: graph theory and pattern recognition analysis of fMRI dataComplexity of low-frequency blood oxygen level-dependent fluctuations covaries with local connectivityAn evaluation of independent component analyses with an application to resting-state fMRI.Annual research review: Current limitations and future directions in MRI studies of child- and adult-onset developmental psychopathologies.Connecting the dots: a review of resting connectivity MRI studies in attention-deficit/hyperactivity disorderImaging functional and structural brain connectomics in attention-deficit/hyperactivity disorder.Research review: Functional brain connectivity and child psychopathology--overview and methodological considerations for investigators new to the field.Developmental Resting State Functional Connectivity for Clinicians.A New Approach to Investigate the Association between Brain Functional Connectivity and Disease Characteristics of Attention-Deficit/Hyperactivity Disorder: Topological Neuroimaging Data AnalysisSingle subject prediction of brain disorders in neuroimaging: Promises and pitfalls.Intrinsic Functional Connectivity in Attention-Deficit/Hyperactivity Disorder: A Science in Development.Individual variation in functional brain connectivity: implications for personalized approaches to psychiatric disease.Using Functional or Structural Magnetic Resonance Images and Personal Characteristic Data to Identify ADHD and Autism.Reduction of motion-related artifacts in resting state fMRI using aCompCor.Inconsistency in Abnormal Brain Activity across Cohorts of ADHD-200 in Children with Attention Deficit Hyperactivity Disorder.Disease prediction based on functional connectomes using a scalable and spatially-informed support vector machine.The autism brain imaging data exchange: towards a large-scale evaluation of the intrinsic brain architecture in autism.Lag in maturation of the brain's intrinsic functional architecture in attention-deficit/hyperactivity disorderConnectotyping: model based fingerprinting of the functional connectome.Distinct neural signatures detected for ADHD subtypes after controlling for micro-movements in resting state functional connectivity MRI data.Resting state networks' corticotopy: the dual intertwined rings architectureClinical prediction from structural brain MRI scans: a large-scale empirical study.A robust classifier to distinguish noise from fMRI independent componentsFunctional neuroimaging of visuospatial working memory tasks enables accurate detection of attention deficit and hyperactivity disorder.A unique pattern of cortical connectivity characterizes patients with attention deficit disorders: a large electroencephalographic coherence study.Translational Meta-analytical Methods to Localize the Regulatory Patterns of Neurological Disorders in the Human Brain
P2860
Q21132556-E6E88141-E631-4021-A875-757E451B90E1Q24289410-E52370AB-90B5-471B-808A-1A01331E973CQ27009053-93465C8B-5B7C-43CC-B0B5-4AC8FBCFA2E6Q28528513-AF351672-6E70-4BB2-BF09-CB36EF5F5D5BQ28555091-C89F775A-D9E1-48BA-8162-7E8D6319AAC7Q28583749-05084E3A-A512-417F-A909-D9DC6039B745Q28602686-829B7D03-B30E-4CB6-BD23-65CEA83FA58EQ28603195-E2F93535-2444-4735-99B4-613BD613FA86Q28603400-D1D1AECE-5967-47AA-8E53-31A2A7F82BEAQ28608413-A20D48BD-754D-4535-9CA3-80CC404503D3Q28647773-1EA20FAB-8214-4274-9CF6-EB068B732A88Q28651611-707D2674-E227-48D6-8745-00C4A75A9087Q28652089-48257E62-2B18-4529-BD58-4CCC82798177Q28653116-D3E98D7B-79B9-4518-BE5C-142DA63F5A1BQ28655790-A6FB96FE-6A82-41A6-A461-A3A6DFB6D6ECQ28656471-5DBEBEE1-08FE-4513-A8E7-9FA1252B8D5CQ30574058-FA268779-E009-40FC-B622-072591C66098Q30736435-0CFC6441-084E-401D-B698-A13EDB175007Q30748697-DF28AAF4-4A4C-4B8F-B852-E8C7319DB3EAQ30794696-D33D3998-FA51-40D1-8DD4-1C5D1047B90CQ30859312-9B988A11-CBA1-4BDE-B688-769C5B1B4DB6Q30862671-DA4E57D6-1009-46E3-8335-4D6B586461E6Q30992318-41DDC0C2-E015-4BFD-B287-F7B1732D0726Q31063019-720EEDA0-9321-4CA7-867C-B452B016793DQ31135377-DFA1C03E-8A82-4E7D-ACE1-8A4EAF86EA2AQ31137606-DFFD45C7-4852-4C1F-8B6F-C7F9AF634E98Q31151823-6E1DC84F-C428-4055-ACE2-22331205B6A0Q33707335-DADF0845-58A1-4F67-9887-B6A956C8D87DQ33766219-5B6C4774-5733-4538-B6E3-1B809842D249Q33811758-CCDDC227-9D9C-4E28-BD5F-E4E3AA18EF42Q34171055-22C2EB70-812C-43FC-8088-7C268E856949Q34314476-6BD22503-126B-4FF3-818D-C007CF36026BQ34489130-19C631B3-FEE7-4DFE-97E8-02CF61C6697BQ34574966-BC658D40-4C15-4498-99BB-5E7C0D882F5DQ34872459-5A85A857-846C-440E-B3A1-FB61A0796F0BQ35002215-8C8E9923-8B0B-4093-B723-5E9E142CBD4FQ35153187-CE797DD7-FCBB-46D9-8BF1-996BD4819F48Q36076802-5EC6FE5B-8477-4605-9FD8-832DE16D5537Q36301295-9CCDCF89-AECD-4BEF-937B-BD4B1ABA0940Q36613586-4CE1F9B2-9B80-4C3F-96F7-9319E64F57B6
P2860
The ADHD-200 Consortium: A Model to Advance the Translational Potential of Neuroimaging in Clinical Neuroscience
description
2012 թուականին հրատարակուած գիտական յօդուած
@hyw
2012 թվականին հրատարակված գիտական հոդված
@hy
artículu científicu espublizáu en 2012
@ast
scientific article (publication date: 2012)
@en
vedecký článok (publikovaný 2012)
@sk
vědecký článek publikovaný v roce 2012
@cs
wetenschappelijk artikel (gepubliceerd in 2012)
@nl
наукова стаття, опублікована у 2012
@uk
مقالة علمية (نشرت عام 2012)
@ar
name
The ADHD-200 Consortium: A Mod ...... aging in Clinical Neuroscience
@ast
The ADHD-200 Consortium: A Mod ...... aging in Clinical Neuroscience
@en
The ADHD-200 Consortium: A Mod ...... aging in Clinical Neuroscience
@nl
type
label
The ADHD-200 Consortium: A Mod ...... aging in Clinical Neuroscience
@ast
The ADHD-200 Consortium: A Mod ...... aging in Clinical Neuroscience
@en
The ADHD-200 Consortium: A Mod ...... aging in Clinical Neuroscience
@nl
prefLabel
The ADHD-200 Consortium: A Mod ...... aging in Clinical Neuroscience
@ast
The ADHD-200 Consortium: A Mod ...... aging in Clinical Neuroscience
@en
The ADHD-200 Consortium: A Mod ...... aging in Clinical Neuroscience
@nl
P2860
P3181
P356
P1476
The ADHD-200 Consortium: A Mod ...... aging in Clinical Neuroscience
@en
P2860
P3181
P356
10.3389/FNSYS.2012.00062
P407
P577
2012-01-01T00:00:00Z