Increased default-mode variability is related to reduced task-performance and is evident in adults with ADHD

[1]  Marcus A. Brubaker,et al.  Stan: A Probabilistic Programming Language. , 2017, Journal of statistical software.

[2]  Mads L Pedersen,et al.  Modelling ADHD: A review of ADHD theories through their predictions for computational models of decision-making and reinforcement learning , 2016, Neuroscience & Biobehavioral Reviews.

[3]  Erlend S. Dørum,et al.  Age‐related differences in brain network activation and co‐activation during multiple object tracking , 2016, Brain and behavior.

[4]  A. Zwinderman,et al.  Age-Dependent Effects of Methylphenidate on the Human Dopaminergic System in Young vs Adult Patients With Attention-Deficit/Hyperactivity Disorder: A Randomized Clinical Trial. , 2016, JAMA psychiatry.

[5]  U. Lindenberger,et al.  BOLD Variability is Related to Dopaminergic Neurotransmission and Cognitive Aging. , 2016, Cerebral cortex.

[6]  Shenmin Zhang,et al.  The Effects of Methylphenidate on Resting-State Functional Connectivity of the Basal Nucleus of Meynert, Locus Coeruleus, and Ventral Tegmental Area in Healthy Adults , 2016, Front. Hum. Neurosci..

[7]  J. Verhoeven,et al.  Developmental Foreign Accent Syndrome: Report of a New Case , 2016, Front. Hum. Neurosci..

[8]  Lars T. Westlye,et al.  The brain functional connectome is robustly altered by lack of sleep , 2016, NeuroImage.

[9]  I. Melle,et al.  Reduced load-dependent default mode network deactivation across executive tasks in schizophrenia spectrum disorders , 2016, NeuroImage: Clinical.

[10]  A. Stringaris,et al.  Annual Research Review: Transdiagnostic neuroscience of child and adolescent mental disorders – differentiating decision making in attention‐deficit/hyperactivity disorder, conduct disorder, depression, and anxiety , 2015, Journal of child psychology and psychiatry, and allied disciplines.

[11]  M. Johnson,et al.  Circulating microRNAs in Sera Correlate with Soluble Biomarkers of Immune Activation but Do Not Predict Mortality in ART Treated Individuals with HIV-1 Infection: A Case Control Study , 2015, PloS one.

[12]  Jan R. Wiersema,et al.  Default mode network abnormalities during state switching in attention deficit hyperactivity disorder , 2015, Psychological Medicine.

[13]  Aki Vehtari,et al.  Efficient implementation of leave-one-out cross-validation and WAIC for evaluating fitted Bayesian models , 2015 .

[14]  Irene E. Nagel,et al.  Amphetamine modulates brain signal variability and working memory in younger and older adults , 2015, Proceedings of the National Academy of Sciences.

[15]  Maarten Mennes,et al.  Evaluation of ICA-AROMA and alternative strategies for motion artifact removal in resting state fMRI , 2015, NeuroImage.

[16]  Guido Biele,et al.  A Meta-Analysis of Decision-Making and Attention in Adults With ADHD , 2015, Journal of attention disorders.

[17]  Russell A. Poldrack,et al.  Orthogonalization of Regressors in fMRI Models , 2015, PloS one.

[18]  Lars T. Westlye,et al.  Attentional load modulates large-scale functional brain connectivity beyond the core attention networks , 2015, NeuroImage.

[19]  Eric Achten,et al.  Dysfunctional modulation of default mode network activity in attention-deficit/hyperactivity disorder. , 2015, Journal of abnormal psychology.

[20]  C. Sripada,et al.  Modality-Spanning Deficits in Attention-Deficit/Hyperactivity Disorder in Functional Networks, Gray Matter, and White Matter , 2014, The Journal of Neuroscience.

[21]  Aapo Hyvärinen,et al.  Group-PCA for very large fMRI datasets , 2014, NeuroImage.

[22]  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.

[23]  Stephen M. Smith,et al.  Permutation inference for the general linear model , 2014, NeuroImage.

[24]  Ludovica Griffanti,et al.  Automatic denoising of functional MRI data: Combining independent component analysis and hierarchical fusion of classifiers , 2014, NeuroImage.

[25]  Oscar Vilarroya,et al.  An independent components and functional connectivity analysis of resting state fMRI data points to neural network dysregulation in adult ADHD , 2014, Human brain mapping.

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

[27]  Cheryl L. Grady,et al.  Understanding variability in the BOLD signal and why it matters for aging , 2013, Brain Imaging and Behavior.

[28]  Daniel Arteaga,et al.  Brain mechanisms for simple perception and bistable perception , 2013, Proceedings of the National Academy of Sciences.

[29]  E. Walker,et al.  Diagnostic and Statistical Manual of Mental Disorders , 2013 .

[30]  Tonya S. King,et al.  The Adult ADHD Self-Report Scale for Screening for Adult Attention Deficit–Hyperactivity Disorder (ADHD) , 2012, The Journal of the American Board of Family Medicine.

[31]  Michael P Milham,et al.  Toward systems neuroscience of ADHD: a meta-analysis of 55 fMRI studies. , 2012, The American journal of psychiatry.

[32]  Katya Rubia,et al.  Functional brain imaging across development , 2012, European Child & Adolescent Psychiatry.

[33]  Mauricio R. Delgado,et al.  Orbitofrontal reward sensitivity and impulsivity in adult attention deficit hyperactivity disorder , 2012, NeuroImage.

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

[35]  Bruno B Averbeck,et al.  Parietal Cortex and Insula Relate to Evidence Seeking Relevant to Reward-Related Decisions , 2011, The Journal of Neuroscience.

[36]  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.

[37]  A. Meneses,et al.  Spontaneously hypertensive rat (SHR) as an animal model for ADHD: a short overview , 2011, Reviews in the neurosciences.

[38]  James Z. Chadick,et al.  Differential coupling of visual cortex with default network or frontal-parietal network based on goals , 2011, Nature Neuroscience.

[39]  Thomas E. Nichols,et al.  Adjusting the effect of nonstationarity in cluster-based and TFCE inference , 2011, NeuroImage.

[40]  S. Faraone,et al.  Predictors of persistent ADHD: an 11-year follow-up study. , 2011, Journal of psychiatric research.

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

[42]  C. Fiebach,et al.  How the brain integrates costs and benefits during decision making , 2010, Proceedings of the National Academy of Sciences.

[43]  Kelvin O. Lim,et al.  Hybrid ICA-Seed-Based Methods for fMRI Functional Connectivity Assessment: A Feasibility Study , 2010, Int. J. Biomed. Imaging.

[44]  L. Nyberg,et al.  Linking cognitive aging to alterations in dopamine neurotransmitter functioning: Recent data and future avenues , 2010, Neuroscience & Biobehavioral Reviews.

[45]  R. Buckner,et al.  Functional-Anatomic Fractionation of the Brain's Default Network , 2010, Neuron.

[46]  Hongtu Zhu,et al.  An FMRI study of the effects of psychostimulants on default-mode processing during Stroop task performance in youths with ADHD. , 2009, The American journal of psychiatry.

[47]  Peter N. C. Mohr,et al.  Genetic variation in dopaminergic neuromodulation influences the ability to rapidly and flexibly adapt decisions , 2009, Proceedings of the National Academy of Sciences.

[48]  J. Swanson,et al.  Evaluating dopamine reward pathway in ADHD: clinical implications. , 2009, JAMA.

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

[50]  Andrew Gelman,et al.  Why We (Usually) Don't Have to Worry About Multiple Comparisons , 2009, 0907.2478.

[51]  N. Volkow,et al.  Dopamine Transporters in Striatum Correlate with Deactivation in the Default Mode Network during Visuospatial Attention , 2009, PloS one.

[52]  Danielle Mizuiri,et al.  A lack of default network suppression is linked to increased distractibility in ADHD , 2009, Brain Research.

[53]  S. Kapur,et al.  The dopamine hypothesis of schizophrenia: version III--the final common pathway. , 2009, Schizophrenia bulletin.

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

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

[56]  Viktor K. Jirsa,et al.  Noise during Rest Enables the Exploration of the Brain's Dynamic Repertoire , 2008, PLoS Comput. Biol..

[57]  Colin Camerer,et al.  Dissociating the Role of the Orbitofrontal Cortex and the Striatum in the Computation of Goal Values and Prediction Errors , 2008, The Journal of Neuroscience.

[58]  O. Monchi,et al.  Dopamine Depletion Impairs Frontostriatal Functional Connectivity during a Set-Shifting Task , 2008, The Journal of Neuroscience.

[59]  B. Biswal,et al.  Network homogeneity reveals decreased integrity of default-mode network in ADHD , 2008, Journal of Neuroscience Methods.

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

[61]  B. Biswal,et al.  Cingulate-Precuneus Interactions: A New Locus of Dysfunction in Adult Attention-Deficit/Hyperactivity Disorder , 2008, Biological Psychiatry.

[62]  Michael Bauer,et al.  Reward anticipation and outcomes in adult males with attention-deficit/hyperactivity disorder , 2008, NeuroImage.

[63]  F. Castellanos,et al.  Spontaneous attentional fluctuations in impaired states and pathological conditions: A neurobiological hypothesis , 2007, Neuroscience & Biobehavioral Reviews.

[64]  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.

[65]  Ronald C Kessler,et al.  Validity of the World Health Organization Adult ADHD Self‐Report Scale (ASRS) Screener in a representative sample of health plan members , 2007, International journal of methods in psychiatric research.

[66]  A. Grace,et al.  Regulation of firing of dopaminergic neurons and control of goal-directed behaviors , 2007, Trends in Neurosciences.

[67]  Nora D. Volkow,et al.  Brain dopamine transporter levels in treatment and drug naïve adults with ADHD , 2007, NeuroImage.

[68]  A. Arnsten,et al.  Stimulants: Therapeutic Actions in ADHD , 2006, Neuropsychopharmacology.

[69]  Kristina M. Visscher,et al.  The neural bases of momentary lapses in attention , 2006, Nature Neuroscience.

[70]  H. Gu,et al.  Comparison of the monoamine transporters from human and mouse in their sensitivities to psychostimulant drugs , 2006, BMC pharmacology.

[71]  James J. Pekar,et al.  Atypical Motor and Sensory Cortex Activation in Attention-Deficit/Hyperactivity Disorder: A Functional Magnetic Resonance Imaging Study of Simple Sequential Finger Tapping , 2006, Biological Psychiatry.

[72]  Yu-Shin Ding,et al.  Imaging the Effects of Methylphenidate on Brain Dopamine: New Model on Its Therapeutic Actions for Attention-Deficit/Hyperactivity Disorder , 2005, Biological Psychiatry.

[73]  V. Russell,et al.  A dynamic developmental theory of attention-deficit/hyperactivity disorder (ADHD) predominantly hyperactive/impulsive and combined subtypes. , 2005, The Behavioral and brain sciences.

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

[75]  Olivier Ledoit,et al.  Improved estimation of the covariance matrix of stock returns with an application to portfolio selection , 2003 .

[76]  K. Perry,et al.  Atomoxetine Increases Extracellular Levels of Norepinephrine and Dopamine in Prefrontal Cortex of Rat: A Potential Mechanism for Efficacy in Attention Deficit/Hyperactivity Disorder , 2002, Neuropsychopharmacology.

[77]  R. Barkley,et al.  Executive Functioning, Temporal Discounting, and Sense of Time in Adolescents with Attention Deficit Hyperactivity Disorder (ADHD) and Oppositional Defiant Disorder (ODD) , 2001, Journal of abnormal child psychology.

[78]  Anders M. Dale,et al.  A hybrid approach to the Skull Stripping problem in MRI , 2001, NeuroImage.

[79]  G. A. Miller,et al.  Misunderstanding analysis of covariance. , 2001, Journal of abnormal psychology.

[80]  Yu-Shin Ding,et al.  Therapeutic Doses of Oral Methylphenidate Significantly Increase Extracellular Dopamine in the Human Brain , 2001, The Journal of Neuroscience.

[81]  S. Sesack,et al.  Immunolocalization of the cocaine‐ and antidepressant‐sensitive l‐norepinephrine transporter , 2000, The Journal of comparative neurology.

[82]  P. Seeman,et al.  Anti-hyperactivity medication: methylphenidate and amphetamine , 1998, Molecular Psychiatry.

[83]  S. Faraone,et al.  Toward defining a neuropsychology of attention deficit-hyperactivity disorder: performance of children and adolescents from a large clinically referred sample. , 1997, Journal of consulting and clinical psychology.

[84]  D. Rubin,et al.  Inference from Iterative Simulation Using Multiple Sequences , 1992 .

[85]  M. A. Metzger,et al.  The spontaneously hypertensive rat (SHR) as an animal model of childhood hyperactivity (ADHD): changed reactivity to reinforcers and to psychomotor stimulants. , 1992, Behavioral and neural biology.

[86]  A. Cho,et al.  Chemical release of dopamine from striatal homogenates: evidence for an exchange diffusion model. , 1979, The Journal of pharmacology and experimental therapeutics.

[87]  L. Pinneo.  On noise in the nervous system. , 1966, Psychological review.

[88]  M. Fredriksen,et al.  Long-Term Pharmacotherapy of Adults With Attention Deficit Hyperactivity Disorder: A Literature Review and Clinical Study. , 2016, Basic & clinical pharmacology & toxicology.

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

[90]  G. Deco,et al.  Emerging concepts for the dynamical organization of resting-state activity in the brain , 2010, Nature Reviews Neuroscience.

[91]  Nikos Makris,et al.  Functional magnetic resonance imaging of methylphenidate and placebo in attention-deficit/hyperactivity disorder during the multi-source interference task. , 2008, Archives of general psychiatry.

[92]  R. Hu.  Diagnostic and Statistical Manual of Mental Disorders (DSM-IV) , 2003 .

[93]  Francis Tuerlinckx,et al.  Type S error rates for classical and Bayesian single and multiple comparison procedures , 2000, Comput. Stat..

[94]  W. Maier,et al.  Diagnostic classification of psychiatric disorders and familial-genetic research , 1999, Dialogues in clinical neuroscience.